diff --git a/README.md b/README.md
index 7d0a4ed..40eedec 100644
--- a/README.md
+++ b/README.md
@@ -9,7 +9,7 @@ A set of tools to understand what is happening inside a Random Forest. A detaile
 
 ## Installation
 
-```
+```r
 # the easiest way to get randomForestExplainer is to install it from CRAN:
 install.packages("randomForestExplainer")
 
diff --git a/docs/404.html b/docs/404.html
index 0880741..d20490d 100644
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+++ b/docs/404.html
@@ -105,7 +105,7 @@
       <ul class="nav navbar-nav navbar-right">
         <li>
   <a href="index.html">
-    <span class="fas fa fas fa-home fa-lg"></span>
+    <span class="fas fa-home fa-lg"></span>
      
   </a>
 </li>
@@ -120,7 +120,7 @@
 </li>
         <li>
   <a href="https://github.com/ModelOriented/randomForestExplainer/">
-    <span class="fab fa fab fa-github fa-lg"></span>
+    <span class="fab fa-github fa-lg"></span>
      
   </a>
 </li>
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index 1488f73..ee7454e 100644
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+++ b/docs/articles/index.html
@@ -105,7 +105,7 @@
       <ul class="nav navbar-nav navbar-right">
         <li>
   <a href="../index.html">
-    <span class="fas fa fas fa-home fa-lg"></span>
+    <span class="fas fa-home fa-lg"></span>
      
   </a>
 </li>
@@ -120,7 +120,7 @@
 </li>
         <li>
   <a href="https://github.com/ModelOriented/randomForestExplainer/">
-    <span class="fab fa fab fa-github fa-lg"></span>
+    <span class="fab fa-github fa-lg"></span>
      
   </a>
 </li>
diff --git a/docs/articles/randomForestExplainer.html b/docs/articles/randomForestExplainer.html
index 4d0aeec..befcb57 100644
--- a/docs/articles/randomForestExplainer.html
+++ b/docs/articles/randomForestExplainer.html
@@ -58,7 +58,7 @@
       <ul class="nav navbar-nav navbar-right">
 <li>
   <a href="../index.html">
-    <span class="fas fa fas fa-home fa-lg"></span>
+    <span class="fas fa-home fa-lg"></span>
      
   </a>
 </li>
@@ -73,7 +73,7 @@
 </li>
         <li>
   <a href="https://github.com/ModelOriented/randomForestExplainer/">
-    <span class="fab fa fab fa-github fa-lg"></span>
+    <span class="fab fa-github fa-lg"></span>
      
   </a>
 </li>
@@ -87,7 +87,7 @@
 
       
 
-      </header><div class="row">
+      </header><script src="randomForestExplainer_files/header-attrs-2.9/header-attrs.js"></script><div class="row">
   <div class="col-md-9 contents">
     <div class="page-header toc-ignore">
       <h1 data-toc-skip>Understanding random forests with randomForestExplainer</h1>
@@ -106,17 +106,19 @@ <h1 class="hasAnchor">
 <a href="#introduction" class="anchor"></a>Introduction</h1>
 <p>This vignette demonstrates how to use the randomForestExplainer package. We will use the <code>Boston</code> from package <code>MASS</code>. In fact, the development of randomForestExplainer was motivated by problems that include lots of predictors and not many observations. However, as they usually require growing large forests and are computationally intensive, we use the small <code>Boston</code> data set here and encourage you to follow our analysis of such large data set concerning glioblastoma here: <a href="https://htmlpreview.github.io/?https://github.com/geneticsMiNIng/BlackBoxOpener/master/randomForestExplainer/inst/doc/randomForestExplainer.html">initial vignette</a>.</p>
 <p>We will use the following packages:</p>
-<div class="sourceCode" id="cb1"><html><body><pre class="r"><span class="fu"><a href="https://rdrr.io/r/base/library.html">library</a></span>(<span class="no">randomForest</span>)
+<div class="sourceCode" id="cb1"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span class="kw"><a href="https://rdrr.io/r/base/library.html">library</a></span><span class="op">(</span><span class="va"><a href="https://www.stat.berkeley.edu/~breiman/RandomForests/">randomForest</a></span><span class="op">)</span>
 <span class="co"># devtools::install_github("MI2DataLab/randomForestExplainer")</span>
-<span class="fu"><a href="https://rdrr.io/r/base/library.html">library</a></span>(<span class="no">randomForestExplainer</span>)</pre></body></html></div>
+<span class="kw"><a href="https://rdrr.io/r/base/library.html">library</a></span><span class="op">(</span><span class="va"><a href="https://github.com/ModelOriented/randomForestExplainer">randomForestExplainer</a></span><span class="op">)</span></code></pre></div>
 </div>
 <div id="data-and-forest" class="section level1">
 <h1 class="hasAnchor">
 <a href="#data-and-forest" class="anchor"></a>Data and forest</h1>
 <p>The data set <code>Boston</code> has the following structure:</p>
-<div class="sourceCode" id="cb2"><html><body><pre class="r"><span class="fu"><a href="https://rdrr.io/r/utils/data.html">data</a></span>(<span class="no">Boston</span>, <span class="kw">package</span> <span class="kw">=</span> <span class="st">"MASS"</span>)
-<span class="no">Boston</span>$<span class="no">chas</span> <span class="kw">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/logical.html">as.logical</a></span>(<span class="no">Boston</span>$<span class="no">chas</span>)
-<span class="fu"><a href="https://rdrr.io/r/utils/str.html">str</a></span>(<span class="no">Boston</span>)</pre></body></html></div>
+<div class="sourceCode" id="cb2"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span class="fu"><a href="https://rdrr.io/r/utils/data.html">data</a></span><span class="op">(</span><span class="va">Boston</span>, package <span class="op">=</span> <span class="st">"MASS"</span><span class="op">)</span>
+<span class="va">Boston</span><span class="op">$</span><span class="va">chas</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/logical.html">as.logical</a></span><span class="op">(</span><span class="va">Boston</span><span class="op">$</span><span class="va">chas</span><span class="op">)</span>
+<span class="fu"><a href="https://rdrr.io/r/utils/str.html">str</a></span><span class="op">(</span><span class="va">Boston</span><span class="op">)</span></code></pre></div>
 <pre><code>## 'data.frame':    506 obs. of  14 variables:
 ##  $ crim   : num  0.00632 0.02731 0.02729 0.03237 0.06905 ...
 ##  $ zn     : num  18 0 0 0 0 0 12.5 12.5 12.5 12.5 ...
@@ -133,10 +135,12 @@ <h1 class="hasAnchor">
 ##  $ lstat  : num  4.98 9.14 4.03 2.94 5.33 ...
 ##  $ medv   : num  24 21.6 34.7 33.4 36.2 28.7 22.9 27.1 16.5 18.9 ...</code></pre>
 <p>We use the <code><a href="https://rdrr.io/pkg/randomForest/man/randomForest.html">randomForest::randomForest</a></code> function to train a forest of <span class="math inline">\(B=500\)</span> trees (default value of the <code>mtry</code> parameter of this function), with option <code>localImp = TRUE</code>. The forest is supposed to predict the median price of an apartment <code>medv</code> based on its characteristics.</p>
-<div class="sourceCode" id="cb4"><html><body><pre class="r"><span class="fu"><a href="https://rdrr.io/r/base/Random.html">set.seed</a></span>(<span class="fl">2017</span>)
-<span class="no">forest</span> <span class="kw">&lt;-</span> <span class="fu"><a href="https://rdrr.io/pkg/randomForest/man/randomForest.html">randomForest</a></span>(<span class="no">medv</span> ~ <span class="no">.</span>, <span class="kw">data</span> <span class="kw">=</span> <span class="no">Boston</span>, <span class="kw">localImp</span> <span class="kw">=</span> <span class="fl">TRUE</span>)</pre></body></html></div>
+<div class="sourceCode" id="cb4"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span class="fu"><a href="https://rdrr.io/r/base/Random.html">set.seed</a></span><span class="op">(</span><span class="fl">2017</span><span class="op">)</span>
+<span class="va">forest</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/pkg/randomForest/man/randomForest.html">randomForest</a></span><span class="op">(</span><span class="va">medv</span> <span class="op">~</span> <span class="va">.</span>, data <span class="op">=</span> <span class="va">Boston</span>, localImp <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></code></pre></div>
 <p>The prediction accuracy of our forest can be summarized as follows:</p>
-<div class="sourceCode" id="cb5"><html><body><pre class="r"><span class="no">forest</span></pre></body></html></div>
+<div class="sourceCode" id="cb5"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span class="va">forest</span></code></pre></div>
 <pre><code>## 
 ## Call:
 ##  randomForest(formula = medv ~ ., data = Boston, localImp = TRUE) 
@@ -152,10 +156,11 @@ <h1 class="hasAnchor">
 <h1 class="hasAnchor">
 <a href="#distribution-of-minimal-depth" class="anchor"></a>Distribution of minimal depth</h1>
 <p>To obtain the distribution of minimal depth we pass our forest to the function <code>min_depth_distribution</code> and store the result, which contains the following columns (we save this and load it from memory as it takes a while):</p>
-<div class="sourceCode" id="cb7"><html><body><pre class="r"><span class="co"># min_depth_frame &lt;- min_depth_distribution(forest)</span>
+<div class="sourceCode" id="cb7"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span class="co"># min_depth_frame &lt;- min_depth_distribution(forest)</span>
 <span class="co"># save(min_depth_frame, file = "min_depth_frame.rda")</span>
-<span class="fu"><a href="https://rdrr.io/r/base/load.html">load</a></span>(<span class="st">"min_depth_frame.rda"</span>)
-<span class="fu"><a href="https://rdrr.io/r/utils/head.html">head</a></span>(<span class="no">min_depth_frame</span>, <span class="kw">n</span> <span class="kw">=</span> <span class="fl">10</span>)</pre></body></html></div>
+<span class="fu"><a href="https://rdrr.io/r/base/load.html">load</a></span><span class="op">(</span><span class="st">"min_depth_frame.rda"</span><span class="op">)</span>
+<span class="fu"><a href="https://rdrr.io/r/utils/head.html">head</a></span><span class="op">(</span><span class="va">min_depth_frame</span>, n <span class="op">=</span> <span class="fl">10</span><span class="op">)</span></code></pre></div>
 <pre><code>##    tree variable minimal_depth
 ## 1     1      age             4
 ## 2     1    black             3
@@ -168,8 +173,9 @@ <h1 class="hasAnchor">
 ## 9     1  ptratio             3
 ## 10    1      rad             6</code></pre>
 <p>Next, we pass it to the function <code>plot_min_depth_distribution</code> and under default settings obtain obtain a plot of the distribution of minimal depth for top ten variables according to mean minimal depth calculated using top trees (<code>mean_sample = "top_trees"</code>). We could also pass our forest directly to the plotting function but if we want to make more than one plot of the minimal depth distribution is more efficient to pass the <code>min_depth_frame</code> to the plotting function so that it will not be calculated again for each plot (this works similarly for other plotting functions of <code>randomForestExplainer</code>).</p>
-<div class="sourceCode" id="cb9"><html><body><pre class="r"><span class="co"># plot_min_depth_distribution(forest) # gives the same result as below but takes longer</span>
-<span class="fu"><a href="../reference/plot_min_depth_distribution.html">plot_min_depth_distribution</a></span>(<span class="no">min_depth_frame</span>)</pre></body></html></div>
+<div class="sourceCode" id="cb9"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span class="co"># plot_min_depth_distribution(forest) # gives the same result as below but takes longer</span>
+<span class="fu"><a href="../reference/plot_min_depth_distribution.html">plot_min_depth_distribution</a></span><span class="op">(</span><span class="va">min_depth_frame</span><span class="op">)</span></code></pre></div>
 <p><img src="randomForestExplainer_files/figure-html/unnamed-chunk-6-1.png" width="672"></p>
 <p>The function <code>plot_min_depth_distribution</code> offers three possibilities when it comes to calculating the mean minimal depth, which differ in he way they treat missing values that appear when a variable is not used for splitting in a tree. They can be described as follows:</p>
 <ul>
@@ -179,7 +185,8 @@ <h1 class="hasAnchor">
 </ul>
 <p>Note that the <span class="math inline">\(x\)</span>-axis ranges from zero trees to the maximum number of trees in which any variable was used for splitting (<span class="math inline">\(\tilde{B}\)</span>) which is in this case equal to 500 and is reached by all variables plotted.</p>
 <p>The ordering of variables in our plot by their mean minimal depth seems quite accurate when we look at the distribution of minimal depth, though one could argue that for example <code>indus</code> should be ranked higher than <code>dis</code> as the latter is never used for splitting at the root. Usually we would obtain different orderings when changing the <code>mean_sample</code> option but this is not the case if variables are used for splitting in all trees as this option only influences how and whether missing values are treated. The default option, <code>"top_trees"</code>, penalizes missing values and this penalization makes the interpretation of the values less obvious – to address that we can calculate the mean minimal depth only using non-missing observations (<code>mean_sample = "relevant_trees"</code>). For forests with many variables with a lot of missing observations we should always consider adding the <code>min_no_of_trees</code> option so that only variables used for splitting in at least the declared number of trees will be considered for the plot. This allows us to avoid selecting variables that have been by chance used for splitting e.g., only once but at the root (their mean would be equal to 0). However, in our case we can simply increase the <code>k</code> parameter to plot all trees:</p>
-<div class="sourceCode" id="cb10"><html><body><pre class="r"><span class="fu"><a href="../reference/plot_min_depth_distribution.html">plot_min_depth_distribution</a></span>(<span class="no">min_depth_frame</span>, <span class="kw">mean_sample</span> <span class="kw">=</span> <span class="st">"relevant_trees"</span>, <span class="kw">k</span> <span class="kw">=</span> <span class="fl">15</span>)</pre></body></html></div>
+<div class="sourceCode" id="cb10"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span class="fu"><a href="../reference/plot_min_depth_distribution.html">plot_min_depth_distribution</a></span><span class="op">(</span><span class="va">min_depth_frame</span>, mean_sample <span class="op">=</span> <span class="st">"relevant_trees"</span>, k <span class="op">=</span> <span class="fl">15</span><span class="op">)</span></code></pre></div>
 <p><img src="randomForestExplainer_files/figure-html/unnamed-chunk-7-1.png" width="672"></p>
 <p>Clearly, using only relevant trees for calculating the mean does not change it for variables that have no missing values. Also, in this case the change does not influence the ordering of variables, but of course this usually not the case in more complex examples.</p>
 <p>Regardless of the exact parameters used in <code>plot_min_depth_distribution</code>, looking at the whole distribution of minimal depth offers a lot more insight into the role that a predictor plays in a forest in contrast to looking only at the mean, especially as it can be calculated in more than one way. Additionally, the function allows us to specify the maximum number of variables plotted <code>k</code>, whether the values of mean minimal depth should be scaled to the <span class="math inline">\([0,1]\)</span> interval (<code>mean_scale</code>, logical), the number of digits to round the mean to for display (<code>mean_round</code>) and the title of the plot (<code>main</code>).</p>
@@ -188,10 +195,11 @@ <h1 class="hasAnchor">
 <h1 class="hasAnchor">
 <a href="#various-variable-importance-measures" class="anchor"></a>Various variable importance measures</h1>
 <p>To further explore variable importance measures we pass our forest to <code>measure_importance</code> function and get the following data frame (we save and load it from memory to save time):</p>
-<div class="sourceCode" id="cb11"><html><body><pre class="r"><span class="co"># importance_frame &lt;- measure_importance(forest)</span>
+<div class="sourceCode" id="cb11"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span class="co"># importance_frame &lt;- measure_importance(forest)</span>
 <span class="co"># save(importance_frame, file = "importance_frame.rda")</span>
-<span class="fu"><a href="https://rdrr.io/r/base/load.html">load</a></span>(<span class="st">"importance_frame.rda"</span>)
-<span class="no">importance_frame</span></pre></body></html></div>
+<span class="fu"><a href="https://rdrr.io/r/base/load.html">load</a></span><span class="op">(</span><span class="st">"importance_frame.rda"</span><span class="op">)</span>
+<span class="va">importance_frame</span></code></pre></div>
 <pre><code>##    variable mean_min_depth no_of_nodes mse_increase node_purity_increase
 ## 1       age       3.308000        8936    3.7695582            1144.6959
 ## 2     black       3.512000        7855    1.6677224             762.5438
@@ -238,11 +246,13 @@ <h1 class="hasAnchor">
 <h2 class="hasAnchor">
 <a href="#multi-way-importance-plot" class="anchor"></a>Multi-way importance plot</h2>
 <p>Below we present the result of <code>plot_multi_way_importance</code> for the default values of <code>x_measure</code> and <code>y_measure</code>, which specify measures to use on <span class="math inline">\(x\)</span> and <span class="math inline">\(y\)</span>-axis, and the size of points reflects the number of nodes split on the variable. For problems with many variables we can restrict the plot to only those used for splitting in at least <code>min_no_of_trees</code> trees. By default 10 top variables in the plot are highlighted in blue and labeled (<code>no_of_labels</code>) – these are selected using the function <code>important_variables</code>, i.e. using the sum of rankings based on importance measures used in the plot (more variables may be labeled if ties occur).</p>
-<div class="sourceCode" id="cb13"><html><body><pre class="r"><span class="co"># plot_multi_way_importance(forest, size_measure = "no_of_nodes") # gives the same result as below but takes longer</span>
-<span class="fu"><a href="../reference/plot_multi_way_importance.html">plot_multi_way_importance</a></span>(<span class="no">importance_frame</span>, <span class="kw">size_measure</span> <span class="kw">=</span> <span class="st">"no_of_nodes"</span>)</pre></body></html></div>
+<div class="sourceCode" id="cb13"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span class="co"># plot_multi_way_importance(forest, size_measure = "no_of_nodes") # gives the same result as below but takes longer</span>
+<span class="fu"><a href="../reference/plot_multi_way_importance.html">plot_multi_way_importance</a></span><span class="op">(</span><span class="va">importance_frame</span>, size_measure <span class="op">=</span> <span class="st">"no_of_nodes"</span><span class="op">)</span></code></pre></div>
 <p><img src="randomForestExplainer_files/figure-html/unnamed-chunk-9-1.png" width="672"></p>
 <p>Observe the marked negative relation between <code>times_a_root</code> and <code>mean_min_depth</code>. Also, the superiority of <code>lstat</code> and <code>rm</code> is clear in all three dimensions plotted (though it is not clear which of the two is better). Further, we present the multi-way importance plot for a different set of importance measures: increase of mean squared error after permutation (<span class="math inline">\(x\)</span>-axis), increase in the node purity index (<span class="math inline">\(y\)</span>-axis) and levels of significance (color of points). We also set <code>no_of_labels</code> to five so that only five top variables will be highlighted (as ties occur, six are eventually labeled).</p>
-<div class="sourceCode" id="cb14"><html><body><pre class="r"><span class="fu"><a href="../reference/plot_multi_way_importance.html">plot_multi_way_importance</a></span>(<span class="no">importance_frame</span>, <span class="kw">x_measure</span> <span class="kw">=</span> <span class="st">"mse_increase"</span>, <span class="kw">y_measure</span> <span class="kw">=</span> <span class="st">"node_purity_increase"</span>, <span class="kw">size_measure</span> <span class="kw">=</span> <span class="st">"p_value"</span>, <span class="kw">no_of_labels</span> <span class="kw">=</span> <span class="fl">5</span>)</pre></body></html></div>
+<div class="sourceCode" id="cb14"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span class="fu"><a href="../reference/plot_multi_way_importance.html">plot_multi_way_importance</a></span><span class="op">(</span><span class="va">importance_frame</span>, x_measure <span class="op">=</span> <span class="st">"mse_increase"</span>, y_measure <span class="op">=</span> <span class="st">"node_purity_increase"</span>, size_measure <span class="op">=</span> <span class="st">"p_value"</span>, no_of_labels <span class="op">=</span> <span class="fl">5</span><span class="op">)</span></code></pre></div>
 <p><img src="randomForestExplainer_files/figure-html/unnamed-chunk-10-1.png" width="672"></p>
 <p>As in the previous plot, the two measures used as coordinates seem correlated, but in this case this is somewhat more surprising as one is connected to the structure of the forest and the other to its prediction, whereas in the previous plot both measures reflected the structure. Also, in this plot we see that although <code>lstat</code> and <code>rm</code> are similar in terms of node purity increase and <span class="math inline">\(p\)</span>-value, the former is markedly better if we look at the increase in MSE. Interestingly, <code>nox</code> and <code>indus</code> are quite good when it comes to the two measures reflected on the axes, but are not significant according to our <span class="math inline">\(p\)</span>-value, which is a derivative of the number of nodes that use a variable for splitting.</p>
 </div>
@@ -250,8 +260,9 @@ <h2 class="hasAnchor">
 <h2 class="hasAnchor">
 <a href="#compare-measures-using-ggpairs" class="anchor"></a>Compare measures using ggpairs</h2>
 <p>Generally, the multi-way importance plot offers a wide variety of possibilities so it can be hard to select the most informative one. One idea of overcoming this obstacle is to first explore relations between different importance measures to then select three that least agree with each other and use them in the multi-way importance plot to select top variables. The first is easily done by plotting selected importance measures pairwise against each other using <code>plot_importance_ggpairs</code> as below. One could of course include all seven measures in the plot but by default <span class="math inline">\(p\)</span>-value and the number of trees are excluded as both carry similar information as the number of nodes.</p>
-<div class="sourceCode" id="cb15"><html><body><pre class="r"><span class="co"># plot_importance_ggpairs(forest) # gives the same result as below but takes longer</span>
-<span class="fu"><a href="../reference/plot_importance_ggpairs.html">plot_importance_ggpairs</a></span>(<span class="no">importance_frame</span>)</pre></body></html></div>
+<div class="sourceCode" id="cb15"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span class="co"># plot_importance_ggpairs(forest) # gives the same result as below but takes longer</span>
+<span class="fu"><a href="../reference/plot_importance_ggpairs.html">plot_importance_ggpairs</a></span><span class="op">(</span><span class="va">importance_frame</span><span class="op">)</span></code></pre></div>
 <p><img src="randomForestExplainer_files/figure-html/unnamed-chunk-11-1.png" width="672"></p>
 <p>We can see that all depicted measures are highly correlated (of course the correlation of any measure with mean minimal depth is negative as the latter is lowest for best variables), but some less than others. Moreover, regardless of which measures we compare, there always seem to be two points that stand out and these most likely correspond to <code>lstat</code> and <code>rm</code> (to now for sure we could just examine the <code>importance_frame</code>).</p>
 </div>
@@ -259,11 +270,12 @@ <h2 class="hasAnchor">
 <h2 class="hasAnchor">
 <a href="#compare-different-rankings" class="anchor"></a>Compare different rankings</h2>
 <p>In addition to scatter plots and correlation coefficients, the ggpairs plot also depicts density estimate for each importance measure – all of which are in this case very skewed. An attempt to eliminate this feature by plotting rankings instead of raw measures is implemented in the function <code>plot_importance_rankings</code> that also includes the fitted LOESS curve in each plot.</p>
-<div class="sourceCode" id="cb16"><html><body><pre class="r"><span class="co"># plot_importance_rankings(forest) # gives the same result as below but takes longer</span>
-<span class="fu"><a href="../reference/plot_importance_rankings.html">plot_importance_rankings</a></span>(<span class="no">importance_frame</span>)</pre></body></html></div>
+<div class="sourceCode" id="cb16"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span class="co"># plot_importance_rankings(forest) # gives the same result as below but takes longer</span>
+<span class="fu"><a href="../reference/plot_importance_rankings.html">plot_importance_rankings</a></span><span class="op">(</span><span class="va">importance_frame</span><span class="op">)</span></code></pre></div>
 <p><img src="randomForestExplainer_files/figure-html/unnamed-chunk-12-1.png" width="672"></p>
 <p>The above density estimates show that skewness was eliminated for all of our importance measures (this is not always the case, e.g., when ties in rankings are frequent, and this is likely for discrete importance measures such as <code>times_a_root</code>, then the distribution of the ranking will also be skewed).</p>
-<p>When comparing the rankings in the above plot we can see that two pairs of measures almost exactly agree in their rankings of variables: <code>mean_min_depth</code> vs. <code>mse_increase</code> and <code>mse_increase</code> vs. <code>node_purity_increase</code>. In applications where there are many variables, the LOESS curve may be the main takeaway from this plot (if points fill in the whole plotting area and this is likely if the distributions of measures are close to uniform).</p>
+<p>When comparing the rankings in the above plot we can see that two pairs of measures almost exactly agree in their rankings of variables: <code>mean_min_depth</code> vs. <code>mse_increase</code> and <code>mse_increase</code> vs. <code>node_purity_increase</code>. In applications where there are many variables, the LOESS curve may be the main takeaway from this plot (if points fill in the whole plotting area and this is likely if the distributions of measures are close to uniform).</p>
 </div>
 </div>
 <div id="variable-interactions" class="section level1">
@@ -273,14 +285,16 @@ <h1 class="hasAnchor">
 <h2 class="hasAnchor">
 <a href="#conditional-minimal-depth" class="anchor"></a>Conditional minimal depth</h2>
 <p>After selecting a set of most important variables we can investigate interactions with respect to them, i.e. splits appearing in maximal subtrees with respect to one of the variables selected. To extract the names of 5 most important variables according to both the mean minimal depth and number of trees in which a variable appeared, we pass our <code>importance_frame</code> to the function <code>important_variables</code> as follows:</p>
-<div class="sourceCode" id="cb17"><html><body><pre class="r"><span class="co"># (vars &lt;- important_variables(forest, k = 5, measures = c("mean_min_depth", "no_of_trees"))) # gives the same result as below but takes longer</span>
-(<span class="no">vars</span> <span class="kw">&lt;-</span> <span class="fu"><a href="../reference/important_variables.html">important_variables</a></span>(<span class="no">importance_frame</span>, <span class="kw">k</span> <span class="kw">=</span> <span class="fl">5</span>, <span class="kw">measures</span> <span class="kw">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html">c</a></span>(<span class="st">"mean_min_depth"</span>, <span class="st">"no_of_trees"</span>)))</pre></body></html></div>
+<div class="sourceCode" id="cb17"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span class="co"># (vars &lt;- important_variables(forest, k = 5, measures = c("mean_min_depth", "no_of_trees"))) # gives the same result as below but takes longer</span>
+<span class="op">(</span><span class="va">vars</span> <span class="op">&lt;-</span> <span class="fu"><a href="../reference/important_variables.html">important_variables</a></span><span class="op">(</span><span class="va">importance_frame</span>, k <span class="op">=</span> <span class="fl">5</span>, measures <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html">c</a></span><span class="op">(</span><span class="st">"mean_min_depth"</span>, <span class="st">"no_of_trees"</span><span class="op">)</span><span class="op">)</span><span class="op">)</span></code></pre></div>
 <pre><code>## [1] "lstat" "rm"    "crim"  "nox"   "dis"</code></pre>
 <p>We pass the result together with or forest to the <code>min_depth_interactions</code> function to obtain a data frame containing information on mean conditional minimal depth of variables with respect to each element of <code>vars</code> (missing values are filled analogously as for unconditional minimal depth, in one of three ways specified by <code>mean_sample</code>). If we would not specify the <code>vars</code> argument then the vector of conditioning variables would be by default obtained using <code><a href="../reference/important_variables.html">important_variables(measure_importance(forest))</a></code>.</p>
-<div class="sourceCode" id="cb19"><html><body><pre class="r"><span class="co"># interactions_frame &lt;- min_depth_interactions(forest, vars)</span>
+<div class="sourceCode" id="cb19"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span class="co"># interactions_frame &lt;- min_depth_interactions(forest, vars)</span>
 <span class="co"># save(interactions_frame, file = "interactions_frame.rda")</span>
-<span class="fu"><a href="https://rdrr.io/r/base/load.html">load</a></span>(<span class="st">"interactions_frame.rda"</span>)
-<span class="fu"><a href="https://rdrr.io/r/utils/head.html">head</a></span>(<span class="no">interactions_frame</span>[<span class="fu"><a href="https://rdrr.io/r/base/order.html">order</a></span>(<span class="no">interactions_frame</span>$<span class="no">occurrences</span>, <span class="kw">decreasing</span> <span class="kw">=</span> <span class="fl">TRUE</span>), ])</pre></body></html></div>
+<span class="fu"><a href="https://rdrr.io/r/base/load.html">load</a></span><span class="op">(</span><span class="st">"interactions_frame.rda"</span><span class="op">)</span>
+<span class="fu"><a href="https://rdrr.io/r/utils/head.html">head</a></span><span class="op">(</span><span class="va">interactions_frame</span><span class="op">[</span><span class="fu"><a href="https://rdrr.io/r/base/order.html">order</a></span><span class="op">(</span><span class="va">interactions_frame</span><span class="op">$</span><span class="va">occurrences</span>, decreasing <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span>, <span class="op">]</span><span class="op">)</span></code></pre></div>
 <pre><code>##    variable root_variable mean_min_depth occurrences interaction
 ## 53       rm         lstat       1.179381         485    lstat:rm
 ## 18     crim         lstat       1.934738         478  lstat:crim
@@ -296,15 +310,17 @@ <h2 class="hasAnchor">
 ## 33                 1.288
 ## 8                  3.512</code></pre>
 <p>Then, we pass our <code>interactions_frame</code> to the plotting function <code>plot_min_depth_interactions</code> and obtain the following:</p>
-<div class="sourceCode" id="cb21"><html><body><pre class="r"><span class="co"># plot_min_depth_interactions(forest) # calculates the interactions_frame for default settings so may give different results than the function below depending on our settings and takes more time</span>
-<span class="fu"><a href="../reference/plot_min_depth_interactions.html">plot_min_depth_interactions</a></span>(<span class="no">interactions_frame</span>)</pre></body></html></div>
+<div class="sourceCode" id="cb21"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span class="co"># plot_min_depth_interactions(forest) # calculates the interactions_frame for default settings so may give different results than the function below depending on our settings and takes more time</span>
+<span class="fu"><a href="../reference/plot_min_depth_interactions.html">plot_min_depth_interactions</a></span><span class="op">(</span><span class="va">interactions_frame</span><span class="op">)</span></code></pre></div>
 <p><img src="randomForestExplainer_files/figure-html/unnamed-chunk-15-1.png" width="672"></p>
 <p>Note that the interactions are ordered by decreasing number of occurrences – the most frequent one, <code>lstat:rm</code>, is also the one with minimal mean conditional minimal depth. Remarkably, the unconditional mean minimal depth of <code>rm</code> in the forest is almost equal to its mean minimal depth across maximal subtrees with <code>lstat</code> as the root variable.</p>
 <p>Generally, the plot contains much information and can be interpreted in many ways but always bear in mind the method used for calculating the conditional (<code>mean_sample</code> parameter) and unconditional (<code>uncond_mean_sample</code> parameter) mean minimal depth. Using the default <code>"top_trees"</code> penalizes interactions that occur less frequently than the most frequent one. Of course, one can switch between <code>"all_trees"</code>, <code>"top_trees"</code> and <code>"relevant_trees"</code> for calculating the mean of both the conditional and unconditional minimal depth but each of them has its drawbacks and we favour using <code>"top_trees"</code> (the default). However, as <code>plot_min_depth_interactions</code> plots interactions by decreasing frequency the major drawback of calculating the mean only for relevant variables vanishes as interactions appearing for example only once but with conditional depth 0 will not be included in the plot anyway. Thus, we repeat the computation of means using <code>"relevant_trees"</code> and get the following result:</p>
-<div class="sourceCode" id="cb22"><html><body><pre class="r"><span class="co"># interactions_frame &lt;- min_depth_interactions(forest, vars, mean_sample = "relevant_trees", uncond_mean_sample = "relevant_trees")</span>
+<div class="sourceCode" id="cb22"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span class="co"># interactions_frame &lt;- min_depth_interactions(forest, vars, mean_sample = "relevant_trees", uncond_mean_sample = "relevant_trees")</span>
 <span class="co"># save(interactions_frame, file = "interactions_frame_relevant.rda")</span>
-<span class="fu"><a href="https://rdrr.io/r/base/load.html">load</a></span>(<span class="st">"interactions_frame_relevant.rda"</span>)
-<span class="fu"><a href="../reference/plot_min_depth_interactions.html">plot_min_depth_interactions</a></span>(<span class="no">interactions_frame</span>)</pre></body></html></div>
+<span class="fu"><a href="https://rdrr.io/r/base/load.html">load</a></span><span class="op">(</span><span class="st">"interactions_frame_relevant.rda"</span><span class="op">)</span>
+<span class="fu"><a href="../reference/plot_min_depth_interactions.html">plot_min_depth_interactions</a></span><span class="op">(</span><span class="va">interactions_frame</span><span class="op">)</span></code></pre></div>
 <p><img src="randomForestExplainer_files/figure-html/unnamed-chunk-16-1.png" width="672"></p>
 <p>Comparing this plot with the previous one we see that removing penalization of missing values lowers the mean conditional minimal depth of all interactions except the most frequent one. Now, in addition to the frequent ones, some of the less frequent like <code>rm:tax</code> stand out.</p>
 </div>
@@ -312,7 +328,8 @@ <h2 class="hasAnchor">
 <h2 class="hasAnchor">
 <a href="#prediction-of-the-forest-on-a-grid" class="anchor"></a>Prediction of the forest on a grid</h2>
 <p>To further investigate the most frequent interaction <code>lstat:rm</code> we use the function <code>plot_predict_interaction</code> to plot the prediction of our forest on a grid of values for the components of each interaction. The function requires the forest, training data, variable to use on <span class="math inline">\(x\)</span> and <span class="math inline">\(y\)</span>-axis, respectively. In addition, one can also decrease the number of points in both dimensions of the grid from the default of 100 in case of insufficient memory using the parameter <code>grid</code>.</p>
-<div class="sourceCode" id="cb23"><html><body><pre class="r"><span class="fu"><a href="../reference/plot_predict_interaction.html">plot_predict_interaction</a></span>(<span class="no">forest</span>, <span class="no">Boston</span>, <span class="st">"rm"</span>, <span class="st">"lstat"</span>)</pre></body></html></div>
+<div class="sourceCode" id="cb23"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span class="fu"><a href="../reference/plot_predict_interaction.html">plot_predict_interaction</a></span><span class="op">(</span><span class="va">forest</span>, <span class="va">Boston</span>, <span class="st">"rm"</span>, <span class="st">"lstat"</span><span class="op">)</span></code></pre></div>
 <p><img src="randomForestExplainer_files/figure-html/unnamed-chunk-17-1.png" width="672"></p>
 <p>In the above plot we can clearly see the effect of interaction: the predicted median price is highest when <code>lstat</code> is low and <code>rm</code> is high and low when the reverse is true. To further investigate the effect of interactions we could plot other frequent ones on a grid.</p>
 </div>
@@ -321,7 +338,8 @@ <h2 class="hasAnchor">
 <h1 class="hasAnchor">
 <a href="#explain-the-forest" class="anchor"></a>Explain the forest</h1>
 <p>The <code><a href="../reference/explain_forest.html">explain_forest()</a></code> function is the flagship function of the <code>randomForestExplainer</code> package, as it takes your random forest and produces a html report that summarizes all basic results obtained for the forest with the new package. Below, we show how to run this function with default settings (we only supply the forest, training data, set <code>interactions = TRUE</code> contrary to the default to show full functionality and decrease the grid for prediction plots in our most computationally-intense examples) for our data set.</p>
-<div class="sourceCode" id="cb24"><html><body><pre class="r"><span class="fu"><a href="../reference/explain_forest.html">explain_forest</a></span>(<span class="no">forest</span>, <span class="kw">interactions</span> <span class="kw">=</span> <span class="fl">TRUE</span>, <span class="kw">data</span> <span class="kw">=</span> <span class="no">Boston</span>)</pre></body></html></div>
+<div class="sourceCode" id="cb24"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span class="fu"><a href="../reference/explain_forest.html">explain_forest</a></span><span class="op">(</span><span class="va">forest</span>, interactions <span class="op">=</span> <span class="cn">TRUE</span>, data <span class="op">=</span> <span class="va">Boston</span><span class="op">)</span></code></pre></div>
 <p>To see the resulting HTML document click here: <a href="https://htmlpreview.github.io/?https://github.com/geneticsMiNIng/BlackBoxOpener/master/examples/Boston_forest_explained.html">Boston forest summary</a></p>
 <p>For additional examples see: <a href="https://htmlpreview.github.io/?https://github.com/geneticsMiNIng/BlackBoxOpener/blob/master/randomForestExplainer/inst/doc/randomForestExplainer.html">initial vignette</a>.</p>
 </div>
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diff --git a/docs/articles/randomForestExplainer_files/header-attrs-2.9/header-attrs.js b/docs/articles/randomForestExplainer_files/header-attrs-2.9/header-attrs.js
new file mode 100644
index 0000000..dd57d92
--- /dev/null
+++ b/docs/articles/randomForestExplainer_files/header-attrs-2.9/header-attrs.js
@@ -0,0 +1,12 @@
+// Pandoc 2.9 adds attributes on both header and div. We remove the former (to
+// be compatible with the behavior of Pandoc < 2.8).
+document.addEventListener('DOMContentLoaded', function(e) {
+  var hs = document.querySelectorAll("div.section[class*='level'] > :first-child");
+  var i, h, a;
+  for (i = 0; i < hs.length; i++) {
+    h = hs[i];
+    if (!/^h[1-6]$/i.test(h.tagName)) continue;  // it should be a header h1-h6
+    a = h.attributes;
+    while (a.length > 0) h.removeAttribute(a[0].name);
+  }
+});
diff --git a/docs/authors.html b/docs/authors.html
index 859bb87..9e41a8b 100644
--- a/docs/authors.html
+++ b/docs/authors.html
@@ -105,7 +105,7 @@
       <ul class="nav navbar-nav navbar-right">
         <li>
   <a href="index.html">
-    <span class="fas fa fas fa-home fa-lg"></span>
+    <span class="fas fa-home fa-lg"></span>
      
   </a>
 </li>
@@ -120,7 +120,7 @@
 </li>
         <li>
   <a href="https://github.com/ModelOriented/randomForestExplainer/">
-    <span class="fab fa fab fa-github fa-lg"></span>
+    <span class="fab fa-github fa-lg"></span>
      
   </a>
 </li>
diff --git a/docs/favicon-16x16.png b/docs/favicon-16x16.png
index f6abd8f..f5d457b 100644
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diff --git a/docs/index.html b/docs/index.html
index 72766f2..c2d868e 100644
--- a/docs/index.html
+++ b/docs/index.html
@@ -58,7 +58,7 @@
       <ul class="nav navbar-nav navbar-right">
 <li>
   <a href="index.html">
-    <span class="fas fa fas fa-home fa-lg"></span>
+    <span class="fas fa-home fa-lg"></span>
      
   </a>
 </li>
@@ -73,7 +73,7 @@
 </li>
         <li>
   <a href="https://github.com/ModelOriented/randomForestExplainer/">
-    <span class="fab fa fab fa-github fa-lg"></span>
+    <span class="fab fa-github fa-lg"></span>
      
   </a>
 </li>
@@ -89,21 +89,22 @@
 
       </header><div class="row">
   <div class="contents col-md-9">
-<div id="randomforestexplainer" class="section level1">
+<div id="randomforestexplainer-" class="section level1">
 <div class="page-header"><h1 class="hasAnchor">
-<a href="#randomforestexplainer" class="anchor"></a>randomForestExplainer <img src="reference/figures/logo.png" align="right" width="150">
+<a href="#randomforestexplainer-" class="anchor"></a>randomForestExplainer <img src="reference/figures/logo.png" align="right" width="150">
 </h1></div>
 
 <p>A set of tools to understand what is happening inside a Random Forest. A detailed discussion of the package and importance measures it implements can be found here: <a href="https://cdn.staticaly.com/gh/geneticsMiNIng/BlackBoxOpener/master/randomForestExplainer_Master_thesis.pdf">Master thesis on randomForestExplainer</a>.</p>
 <div id="installation" class="section level2">
 <h2 class="hasAnchor">
 <a href="#installation" class="anchor"></a>Installation</h2>
-<pre><code><a href="https://rdrr.io/r/utils/install.packages.html"># the easiest way to get randomForestExplainer is to install it from CRAN:
-install.packages("randomForestExplainer")
+<div class="sourceCode" id="cb1"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span class="co"># the easiest way to get randomForestExplainer is to install it from CRAN:</span>
+<span class="fu"><a href="https://rdrr.io/r/utils/install.packages.html">install.packages</a></span><span class="op">(</span><span class="st">"randomForestExplainer"</span><span class="op">)</span>
 
-# Or the the development version from GitHub:
-# install.packages("devtools")
-devtools::install_github("ModelOriented/randomForestExplainer")</a></code></pre>
+<span class="co"># Or the the development version from GitHub:</span>
+<span class="co"># install.packages("devtools")</span>
+<span class="fu">devtools</span><span class="fu">::</span><span class="fu"><a href="https://devtools.r-lib.org//reference/remote-reexports.html">install_github</a></span><span class="op">(</span><span class="st">"ModelOriented/randomForestExplainer"</span><span class="op">)</span></code></pre></div>
 </div>
 <div id="vignette" class="section level2">
 <h2 class="hasAnchor">
diff --git a/docs/logo.png b/docs/logo.png
index a63505c..541dc49 100644
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diff --git a/docs/news/index.html b/docs/news/index.html
index 418c0f6..885685a 100644
--- a/docs/news/index.html
+++ b/docs/news/index.html
@@ -105,7 +105,7 @@
       <ul class="nav navbar-nav navbar-right">
         <li>
   <a href="../index.html">
-    <span class="fas fa fas fa-home fa-lg"></span>
+    <span class="fas fa-home fa-lg"></span>
      
   </a>
 </li>
@@ -120,7 +120,7 @@
 </li>
         <li>
   <a href="https://github.com/ModelOriented/randomForestExplainer/">
-    <span class="fab fa fab fa-github fa-lg"></span>
+    <span class="fab fa-github fa-lg"></span>
      
   </a>
 </li>
@@ -141,9 +141,9 @@ <h1 data-toc-skip>Changelog <small></small></h1>
       <small>Source: <a href='https://github.com/ModelOriented/randomForestExplainer/blob/master/NEWS.md'><code>NEWS.md</code></a></small>
     </div>
 
-    <div id="randomforestexplainer-0-10-0" class="section level1">
+    <div id="randomforestexplainer-0100" class="section level1">
 <h1 class="page-header" data-toc-text="0.10.0">
-<a href="#randomforestexplainer-0-10-0" class="anchor"></a>randomForestExplainer 0.10.0<small> 2019-09-18 </small>
+<a href="#randomforestexplainer-0100" class="anchor"></a>randomForestExplainer 0.10.0<small> 2019-09-18 </small>
 </h1>
 <div id="new-features" class="section level2">
 <h2 class="hasAnchor">
diff --git a/docs/pkgdown.yml b/docs/pkgdown.yml
index 3f51cef..f2736aa 100644
--- a/docs/pkgdown.yml
+++ b/docs/pkgdown.yml
@@ -1,7 +1,7 @@
-pandoc: 2.3.1
-pkgdown: 1.5.1
+pandoc: 2.11.4
+pkgdown: 1.6.1
 pkgdown_sha: ~
 articles:
   randomForestExplainer: randomForestExplainer.html
-last_built: 2020-07-11T05:00Z
+last_built: 2021-06-30T22:14Z
 
diff --git a/docs/reference/Rplot001.png b/docs/reference/Rplot001.png
new file mode 100644
index 0000000..1a63140
Binary files /dev/null and b/docs/reference/Rplot001.png differ
diff --git a/docs/reference/Rplot002.png b/docs/reference/Rplot002.png
new file mode 100644
index 0000000..be2a8e9
Binary files /dev/null and b/docs/reference/Rplot002.png differ
diff --git a/docs/reference/explain_forest.html b/docs/reference/explain_forest.html
index f280481..0b6560e 100644
--- a/docs/reference/explain_forest.html
+++ b/docs/reference/explain_forest.html
@@ -106,7 +106,7 @@
       <ul class="nav navbar-nav navbar-right">
         <li>
   <a href="../index.html">
-    <span class="fas fa fas fa-home fa-lg"></span>
+    <span class="fas fa-home fa-lg"></span>
      
   </a>
 </li>
@@ -121,7 +121,7 @@
 </li>
         <li>
   <a href="https://github.com/ModelOriented/randomForestExplainer/">
-    <span class="fab fa fab fa-github fa-lg"></span>
+    <span class="fab fa-github fa-lg"></span>
      
   </a>
 </li>
@@ -147,16 +147,16 @@ <h1>Explain a random forest</h1>
     <p>Explains a random forest in a html document using plots created by randomForestExplainer</p>
     </div>
 
-    <pre class="usage"><span class='fu'>explain_forest</span>(
-  <span class='no'>forest</span>,
-  <span class='kw'>path</span> <span class='kw'>=</span> <span class='kw'>NULL</span>,
-  <span class='kw'>interactions</span> <span class='kw'>=</span> <span class='fl'>FALSE</span>,
-  <span class='kw'>data</span> <span class='kw'>=</span> <span class='kw'>NULL</span>,
-  <span class='kw'>vars</span> <span class='kw'>=</span> <span class='kw'>NULL</span>,
-  <span class='kw'>no_of_pred_plots</span> <span class='kw'>=</span> <span class='fl'>3</span>,
-  <span class='kw'>pred_grid</span> <span class='kw'>=</span> <span class='fl'>100</span>,
-  <span class='kw'>measures</span> <span class='kw'>=</span> <span class='kw'>NULL</span>
-)</pre>
+    <pre class="usage"><span class='fu'>explain_forest</span><span class='op'>(</span>
+  <span class='va'>forest</span>,
+  path <span class='op'>=</span> <span class='cn'>NULL</span>,
+  interactions <span class='op'>=</span> <span class='cn'>FALSE</span>,
+  data <span class='op'>=</span> <span class='cn'>NULL</span>,
+  vars <span class='op'>=</span> <span class='cn'>NULL</span>,
+  no_of_pred_plots <span class='op'>=</span> <span class='fl'>3</span>,
+  pred_grid <span class='op'>=</span> <span class='fl'>100</span>,
+  measures <span class='op'>=</span> <span class='cn'>NULL</span>
+<span class='op'>)</span></pre>
 
     <h2 class="hasAnchor" id="arguments"><a class="anchor" href="#arguments"></a>Arguments</h2>
     <table class="ref-arguments">
@@ -200,10 +200,12 @@ <h2 class="hasAnchor" id="value"><a class="anchor" href="#value"></a>Value</h2>
     <p>A html document. If path is not specified, this document will be "Your_forest_explained.html" in your working directory</p>
 
     <h2 class="hasAnchor" id="examples"><a class="anchor" href="#examples"></a>Examples</h2>
-    <pre class="examples"><div class='input'><span class='kw'>if</span> (<span class='fl'>FALSE</span>) {
-<span class='no'>forest</span> <span class='kw'>&lt;-</span> <span class='kw pkg'>randomForest</span><span class='kw ns'>::</span><span class='fu'><a href='https://rdrr.io/pkg/randomForest/man/randomForest.html'>randomForest</a></span>(<span class='no'>Species</span> ~ <span class='no'>.</span>, <span class='kw'>data</span> <span class='kw'>=</span> <span class='no'>iris</span>, <span class='kw'>localImp</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>)
-<span class='fu'>explain_forest</span>(<span class='no'>forest</span>, <span class='kw'>interactions</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>)
-}</div></pre>
+    <pre class="examples"><div class='input'><span class='kw'>if</span> <span class='op'>(</span><span class='cn'>FALSE</span><span class='op'>)</span> <span class='op'>{</span>
+<span class='va'>forest</span> <span class='op'>&lt;-</span> <span class='fu'>randomForest</span><span class='fu'>::</span><span class='fu'><a href='https://rdrr.io/pkg/randomForest/man/randomForest.html'>randomForest</a></span><span class='op'>(</span><span class='va'>Species</span> <span class='op'>~</span> <span class='va'>.</span>, data <span class='op'>=</span> <span class='va'>iris</span>, localImp <span class='op'>=</span> <span class='cn'>TRUE</span><span class='op'>)</span>
+<span class='fu'>explain_forest</span><span class='op'>(</span><span class='va'>forest</span>, interactions <span class='op'>=</span> <span class='cn'>TRUE</span><span class='op'>)</span>
+<span class='op'>}</span>
+
+</div></pre>
   </div>
   <div class="col-md-3 hidden-xs hidden-sm" id="pkgdown-sidebar">
     <nav id="toc" data-toggle="toc" class="sticky-top">
diff --git a/docs/reference/figures/logo.png b/docs/reference/figures/logo.png
index a63505c..541dc49 100644
Binary files a/docs/reference/figures/logo.png and b/docs/reference/figures/logo.png differ
diff --git a/docs/reference/important_variables.html b/docs/reference/important_variables.html
index c39ccc1..fb133bf 100644
--- a/docs/reference/important_variables.html
+++ b/docs/reference/important_variables.html
@@ -106,7 +106,7 @@
       <ul class="nav navbar-nav navbar-right">
         <li>
   <a href="../index.html">
-    <span class="fas fa fas fa-home fa-lg"></span>
+    <span class="fas fa-home fa-lg"></span>
      
   </a>
 </li>
@@ -121,7 +121,7 @@
 </li>
         <li>
   <a href="https://github.com/ModelOriented/randomForestExplainer/">
-    <span class="fab fa fab fa-github fa-lg"></span>
+    <span class="fab fa-github fa-lg"></span>
      
   </a>
 </li>
@@ -147,12 +147,12 @@ <h1>Extract k most important variables in a random forest</h1>
     <p>Get the names of k variables with highest sum of rankings based on the specified importance measures</p>
     </div>
 
-    <pre class="usage"><span class='fu'>important_variables</span>(
-  <span class='no'>importance_frame</span>,
-  <span class='kw'>k</span> <span class='kw'>=</span> <span class='fl'>15</span>,
-  <span class='kw'>measures</span> <span class='kw'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/names.html'>names</a></span>(<span class='no'>importance_frame</span>)[<span class='fl'>2</span>:<span class='fu'><a href='https://rdrr.io/r/base/Extremes.html'>min</a></span>(<span class='fl'>5</span>, <span class='fu'><a href='https://rdrr.io/r/base/nrow.html'>ncol</a></span>(<span class='no'>importance_frame</span>))],
-  <span class='kw'>ties_action</span> <span class='kw'>=</span> <span class='st'>"all"</span>
-)</pre>
+    <pre class="usage"><span class='fu'>important_variables</span><span class='op'>(</span>
+  <span class='va'>importance_frame</span>,
+  k <span class='op'>=</span> <span class='fl'>15</span>,
+  measures <span class='op'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/names.html'>names</a></span><span class='op'>(</span><span class='va'>importance_frame</span><span class='op'>)</span><span class='op'>[</span><span class='fl'>2</span><span class='op'>:</span><span class='fu'><a href='https://rdrr.io/r/base/Extremes.html'>min</a></span><span class='op'>(</span><span class='fl'>5</span>, <span class='fu'><a href='https://rdrr.io/r/base/nrow.html'>ncol</a></span><span class='op'>(</span><span class='va'>importance_frame</span><span class='op'>)</span><span class='op'>)</span><span class='op'>]</span>,
+  ties_action <span class='op'>=</span> <span class='st'>"all"</span>
+<span class='op'>)</span></pre>
 
     <h2 class="hasAnchor" id="arguments"><a class="anchor" href="#arguments"></a>Arguments</h2>
     <table class="ref-arguments">
@@ -180,8 +180,9 @@ <h2 class="hasAnchor" id="value"><a class="anchor" href="#value"></a>Value</h2>
     <p>A character vector with names of k variables with highest sum of rankings</p>
 
     <h2 class="hasAnchor" id="examples"><a class="anchor" href="#examples"></a>Examples</h2>
-    <pre class="examples"><div class='input'><span class='no'>forest</span> <span class='kw'>&lt;-</span> <span class='kw pkg'>randomForest</span><span class='kw ns'>::</span><span class='fu'><a href='https://rdrr.io/pkg/randomForest/man/randomForest.html'>randomForest</a></span>(<span class='no'>Species</span> ~ <span class='no'>.</span>, <span class='kw'>data</span> <span class='kw'>=</span> <span class='no'>iris</span>, <span class='kw'>localImp</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>, <span class='kw'>ntree</span> <span class='kw'>=</span> <span class='fl'>300</span>)
-<span class='fu'>important_variables</span>(<span class='fu'><a href='measure_importance.html'>measure_importance</a></span>(<span class='no'>forest</span>), <span class='kw'>k</span> <span class='kw'>=</span> <span class='fl'>2</span>)</div><div class='output co'>#&gt; [1] "Petal.Length" "Petal.Width" </div><div class='input'>
+    <pre class="examples"><div class='input'><span class='va'>forest</span> <span class='op'>&lt;-</span> <span class='fu'>randomForest</span><span class='fu'>::</span><span class='fu'><a href='https://rdrr.io/pkg/randomForest/man/randomForest.html'>randomForest</a></span><span class='op'>(</span><span class='va'>Species</span> <span class='op'>~</span> <span class='va'>.</span>, data <span class='op'>=</span> <span class='va'>iris</span>, localImp <span class='op'>=</span> <span class='cn'>TRUE</span>, ntree <span class='op'>=</span> <span class='fl'>300</span><span class='op'>)</span>
+<span class='fu'>important_variables</span><span class='op'>(</span><span class='fu'><a href='measure_importance.html'>measure_importance</a></span><span class='op'>(</span><span class='va'>forest</span><span class='op'>)</span>, k <span class='op'>=</span> <span class='fl'>2</span><span class='op'>)</span>
+</div><div class='output co'>#&gt; [1] "Petal.Length" "Petal.Width" </div><div class='input'>
 </div></pre>
   </div>
   <div class="col-md-3 hidden-xs hidden-sm" id="pkgdown-sidebar">
diff --git a/docs/reference/index.html b/docs/reference/index.html
index 8847229..5b6fc65 100644
--- a/docs/reference/index.html
+++ b/docs/reference/index.html
@@ -105,7 +105,7 @@
       <ul class="nav navbar-nav navbar-right">
         <li>
   <a href="../index.html">
-    <span class="fas fa fas fa-home fa-lg"></span>
+    <span class="fas fa-home fa-lg"></span>
      
   </a>
 </li>
@@ -120,7 +120,7 @@
 </li>
         <li>
   <a href="https://github.com/ModelOriented/randomForestExplainer/">
-    <span class="fab fa fab fa-github fa-lg"></span>
+    <span class="fab fa-github fa-lg"></span>
      
   </a>
 </li>
diff --git a/docs/reference/measure_importance.html b/docs/reference/measure_importance.html
index d8e6c96..b6ca28a 100644
--- a/docs/reference/measure_importance.html
+++ b/docs/reference/measure_importance.html
@@ -106,7 +106,7 @@
       <ul class="nav navbar-nav navbar-right">
         <li>
   <a href="../index.html">
-    <span class="fas fa fas fa-home fa-lg"></span>
+    <span class="fas fa-home fa-lg"></span>
      
   </a>
 </li>
@@ -121,7 +121,7 @@
 </li>
         <li>
   <a href="https://github.com/ModelOriented/randomForestExplainer/">
-    <span class="fab fa fab fa-github fa-lg"></span>
+    <span class="fab fa-github fa-lg"></span>
      
   </a>
 </li>
@@ -147,7 +147,7 @@ <h1>Importance of variables in a random forest</h1>
     <p>Get a data frame with various measures of importance of variables in a random forest</p>
     </div>
 
-    <pre class="usage"><span class='fu'>measure_importance</span>(<span class='no'>forest</span>, <span class='kw'>mean_sample</span> <span class='kw'>=</span> <span class='st'>"top_trees"</span>, <span class='kw'>measures</span> <span class='kw'>=</span> <span class='kw'>NULL</span>)</pre>
+    <pre class="usage"><span class='fu'>measure_importance</span><span class='op'>(</span><span class='va'>forest</span>, mean_sample <span class='op'>=</span> <span class='st'>"top_trees"</span>, measures <span class='op'>=</span> <span class='cn'>NULL</span><span class='op'>)</span></pre>
 
     <h2 class="hasAnchor" id="arguments"><a class="anchor" href="#arguments"></a>Arguments</h2>
     <table class="ref-arguments">
@@ -175,8 +175,9 @@ <h2 class="hasAnchor" id="value"><a class="anchor" href="#value"></a>Value</h2>
     <p>A data frame with rows corresponding to variables and columns to various measures of importance of variables</p>
 
     <h2 class="hasAnchor" id="examples"><a class="anchor" href="#examples"></a>Examples</h2>
-    <pre class="examples"><div class='input'><span class='no'>forest</span> <span class='kw'>&lt;-</span> <span class='kw pkg'>randomForest</span><span class='kw ns'>::</span><span class='fu'><a href='https://rdrr.io/pkg/randomForest/man/randomForest.html'>randomForest</a></span>(<span class='no'>Species</span> ~ <span class='no'>.</span>, <span class='kw'>data</span> <span class='kw'>=</span> <span class='no'>iris</span>, <span class='kw'>localImp</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>, <span class='kw'>ntree</span> <span class='kw'>=</span> <span class='fl'>300</span>)
-<span class='fu'>measure_importance</span>(<span class='no'>forest</span>)</div><div class='output co'>#&gt;       variable mean_min_depth no_of_nodes accuracy_decrease gini_decrease
+    <pre class="examples"><div class='input'><span class='va'>forest</span> <span class='op'>&lt;-</span> <span class='fu'>randomForest</span><span class='fu'>::</span><span class='fu'><a href='https://rdrr.io/pkg/randomForest/man/randomForest.html'>randomForest</a></span><span class='op'>(</span><span class='va'>Species</span> <span class='op'>~</span> <span class='va'>.</span>, data <span class='op'>=</span> <span class='va'>iris</span>, localImp <span class='op'>=</span> <span class='cn'>TRUE</span>, ntree <span class='op'>=</span> <span class='fl'>300</span><span class='op'>)</span>
+<span class='fu'>measure_importance</span><span class='op'>(</span><span class='va'>forest</span><span class='op'>)</span>
+</div><div class='output co'>#&gt;       variable mean_min_depth no_of_nodes accuracy_decrease gini_decrease
 #&gt; 1 Petal.Length      1.1114865         749       0.298860983     42.010102
 #&gt; 2  Petal.Width      0.9932432         775       0.310185955     43.803248
 #&gt; 3 Sepal.Length      2.0128041         493       0.033657157     11.235496
diff --git a/docs/reference/min_depth_distribution.html b/docs/reference/min_depth_distribution.html
index e16dde8..7505272 100644
--- a/docs/reference/min_depth_distribution.html
+++ b/docs/reference/min_depth_distribution.html
@@ -106,7 +106,7 @@
       <ul class="nav navbar-nav navbar-right">
         <li>
   <a href="../index.html">
-    <span class="fas fa fas fa-home fa-lg"></span>
+    <span class="fas fa-home fa-lg"></span>
      
   </a>
 </li>
@@ -121,7 +121,7 @@
 </li>
         <li>
   <a href="https://github.com/ModelOriented/randomForestExplainer/">
-    <span class="fab fa fab fa-github fa-lg"></span>
+    <span class="fab fa-github fa-lg"></span>
      
   </a>
 </li>
@@ -147,7 +147,7 @@ <h1>Calculate minimal depth distribution of a random forest</h1>
     <p>Get minimal depth values for all trees in a random forest</p>
     </div>
 
-    <pre class="usage"><span class='fu'>min_depth_distribution</span>(<span class='no'>forest</span>)</pre>
+    <pre class="usage"><span class='fu'>min_depth_distribution</span><span class='op'>(</span><span class='va'>forest</span><span class='op'>)</span></pre>
 
     <h2 class="hasAnchor" id="arguments"><a class="anchor" href="#arguments"></a>Arguments</h2>
     <table class="ref-arguments">
@@ -163,7 +163,8 @@ <h2 class="hasAnchor" id="value"><a class="anchor" href="#value"></a>Value</h2>
     <p>A data frame with the value of minimal depth for every variable in every tree</p>
 
     <h2 class="hasAnchor" id="examples"><a class="anchor" href="#examples"></a>Examples</h2>
-    <pre class="examples"><div class='input'><span class='fu'>min_depth_distribution</span>(<span class='kw pkg'>randomForest</span><span class='kw ns'>::</span><span class='fu'><a href='https://rdrr.io/pkg/randomForest/man/randomForest.html'>randomForest</a></span>(<span class='no'>Species</span> ~ <span class='no'>.</span>, <span class='kw'>data</span> <span class='kw'>=</span> <span class='no'>iris</span>, <span class='kw'>ntree</span> <span class='kw'>=</span> <span class='fl'>100</span>))</div><div class='output co'>#&gt;     tree     variable minimal_depth
+    <pre class="examples"><div class='input'><span class='fu'>min_depth_distribution</span><span class='op'>(</span><span class='fu'>randomForest</span><span class='fu'>::</span><span class='fu'><a href='https://rdrr.io/pkg/randomForest/man/randomForest.html'>randomForest</a></span><span class='op'>(</span><span class='va'>Species</span> <span class='op'>~</span> <span class='va'>.</span>, data <span class='op'>=</span> <span class='va'>iris</span>, ntree <span class='op'>=</span> <span class='fl'>100</span><span class='op'>)</span><span class='op'>)</span>
+</div><div class='output co'>#&gt;     tree     variable minimal_depth
 #&gt; 1      1 Petal.Length             1
 #&gt; 2      1  Petal.Width             0
 #&gt; 3      1 Sepal.Length             4
@@ -512,355 +513,346 @@ <h2 class="hasAnchor" id="examples"><a class="anchor" href="#examples"></a>Examp
 #&gt; 346  100 Petal.Length             1
 #&gt; 347  100  Petal.Width             0
 #&gt; 348  100 Sepal.Length             1
-#&gt; 349  100  Sepal.Width             2</div><div class='input'><span class='fu'>min_depth_distribution</span>(<span class='kw pkg'>ranger</span><span class='kw ns'>::</span><span class='fu'><a href='https://rdrr.io/pkg/ranger/man/ranger.html'>ranger</a></span>(<span class='no'>Species</span> ~ <span class='no'>.</span>, <span class='kw'>data</span> <span class='kw'>=</span> <span class='no'>iris</span>, <span class='kw'>num.trees</span> <span class='kw'>=</span> <span class='fl'>100</span>))</div><div class='output co'>#&gt;     tree     variable minimal_depth
-#&gt; 1      1 Petal.Length             1
-#&gt; 2      1  Petal.Width             1
-#&gt; 3      1 Sepal.Length             0
-#&gt; 4      2 Petal.Length             0
-#&gt; 5      2  Petal.Width             1
-#&gt; 6      2 Sepal.Length             3
-#&gt; 7      3 Petal.Length             0
-#&gt; 8      3  Petal.Width             3
-#&gt; 9      3  Sepal.Width             3
-#&gt; 10     4 Petal.Length             0
-#&gt; 11     4  Petal.Width             2
-#&gt; 12     4 Sepal.Length             5
-#&gt; 13     4  Sepal.Width             3
-#&gt; 14     5 Petal.Length             3
-#&gt; 15     5  Petal.Width             0
-#&gt; 16     5 Sepal.Length             2
-#&gt; 17     6 Petal.Length             0
-#&gt; 18     6  Petal.Width             3
-#&gt; 19     6 Sepal.Length             1
-#&gt; 20     7 Petal.Length             0
-#&gt; 21     7  Petal.Width             2
-#&gt; 22     7 Sepal.Length             2
-#&gt; 23     8 Petal.Length             2
-#&gt; 24     8  Petal.Width             1
-#&gt; 25     8 Sepal.Length             0
-#&gt; 26     8  Sepal.Width             2
-#&gt; 27     9 Petal.Length             0
-#&gt; 28     9  Petal.Width             1
-#&gt; 29     9 Sepal.Length             2
-#&gt; 30     9  Sepal.Width             3
-#&gt; 31    10 Petal.Length             2
-#&gt; 32    10  Petal.Width             0
-#&gt; 33    10 Sepal.Length             4
-#&gt; 34    11 Petal.Length             0
-#&gt; 35    11  Petal.Width             1
-#&gt; 36    11 Sepal.Length             3
-#&gt; 37    11  Sepal.Width             2
-#&gt; 38    12 Petal.Length             1
-#&gt; 39    12  Petal.Width             0
-#&gt; 40    12 Sepal.Length             2
-#&gt; 41    13 Petal.Length             0
-#&gt; 42    13  Petal.Width             2
-#&gt; 43    13 Sepal.Length             1
-#&gt; 44    13  Sepal.Width             4
-#&gt; 45    14 Petal.Length             0
-#&gt; 46    14  Petal.Width             2
-#&gt; 47    14 Sepal.Length             1
-#&gt; 48    14  Sepal.Width             5
-#&gt; 49    15 Petal.Length             4
-#&gt; 50    15  Petal.Width             0
-#&gt; 51    15 Sepal.Length             3
-#&gt; 52    15  Sepal.Width             2
-#&gt; 53    16 Petal.Length             0
-#&gt; 54    16  Petal.Width             3
-#&gt; 55    16 Sepal.Length             1
-#&gt; 56    16  Sepal.Width             4
-#&gt; 57    17 Petal.Length             1
-#&gt; 58    17  Petal.Width             0
-#&gt; 59    17 Sepal.Length             2
-#&gt; 60    17  Sepal.Width             5
-#&gt; 61    18 Petal.Length             2
-#&gt; 62    18  Petal.Width             1
-#&gt; 63    18 Sepal.Length             0
-#&gt; 64    19 Petal.Length             0
-#&gt; 65    19  Petal.Width             1
-#&gt; 66    19 Sepal.Length             2
-#&gt; 67    20 Petal.Length             0
-#&gt; 68    20  Petal.Width             1
-#&gt; 69    20 Sepal.Length             4
-#&gt; 70    21 Petal.Length             0
-#&gt; 71    21  Petal.Width             3
-#&gt; 72    21 Sepal.Length             2
-#&gt; 73    21  Sepal.Width             3
-#&gt; 74    22 Petal.Length             1
-#&gt; 75    22  Petal.Width             1
-#&gt; 76    22 Sepal.Length             0
-#&gt; 77    22  Sepal.Width             2
-#&gt; 78    23 Petal.Length             0
-#&gt; 79    23  Petal.Width             1
-#&gt; 80    23 Sepal.Length             4
-#&gt; 81    23  Sepal.Width             3
-#&gt; 82    24 Petal.Length             2
-#&gt; 83    24  Petal.Width             0
-#&gt; 84    24 Sepal.Length             3
-#&gt; 85    25 Petal.Length             1
-#&gt; 86    25  Petal.Width             1
-#&gt; 87    25 Sepal.Length             0
-#&gt; 88    25  Sepal.Width             2
-#&gt; 89    26 Petal.Length             1
-#&gt; 90    26  Petal.Width             1
-#&gt; 91    26 Sepal.Length             0
-#&gt; 92    26  Sepal.Width             3
-#&gt; 93    27 Petal.Length             0
-#&gt; 94    27  Petal.Width             1
-#&gt; 95    27 Sepal.Length             2
-#&gt; 96    27  Sepal.Width             3
-#&gt; 97    28 Petal.Length             0
-#&gt; 98    28  Petal.Width             1
-#&gt; 99    28 Sepal.Length             2
-#&gt; 100   29 Petal.Length             1
-#&gt; 101   29  Petal.Width             0
-#&gt; 102   29 Sepal.Length             3
-#&gt; 103   30 Petal.Length             0
-#&gt; 104   30  Petal.Width             1
-#&gt; 105   30 Sepal.Length             2
-#&gt; 106   30  Sepal.Width             3
+#&gt; 349  100  Sepal.Width             2</div><div class='input'><span class='fu'>min_depth_distribution</span><span class='op'>(</span><span class='fu'>ranger</span><span class='fu'>::</span><span class='fu'><a href='https://rdrr.io/pkg/ranger/man/ranger.html'>ranger</a></span><span class='op'>(</span><span class='va'>Species</span> <span class='op'>~</span> <span class='va'>.</span>, data <span class='op'>=</span> <span class='va'>iris</span>, num.trees <span class='op'>=</span> <span class='fl'>100</span><span class='op'>)</span><span class='op'>)</span>
+</div><div class='output co'>#&gt;     tree     variable minimal_depth
+#&gt; 1      1 Petal.Length             0
+#&gt; 2      1  Petal.Width             2
+#&gt; 3      1 Sepal.Length             2
+#&gt; 4      2 Petal.Length             2
+#&gt; 5      2  Petal.Width             0
+#&gt; 6      2 Sepal.Length             4
+#&gt; 7      2  Sepal.Width             3
+#&gt; 8      3 Petal.Length             1
+#&gt; 9      3  Petal.Width             0
+#&gt; 10     3 Sepal.Length             2
+#&gt; 11     3  Sepal.Width             3
+#&gt; 12     4 Petal.Length             2
+#&gt; 13     4  Petal.Width             0
+#&gt; 14     4 Sepal.Length             1
+#&gt; 15     4  Sepal.Width             3
+#&gt; 16     5  Petal.Width             0
+#&gt; 17     5 Sepal.Length             3
+#&gt; 18     6 Petal.Length             1
+#&gt; 19     6  Petal.Width             0
+#&gt; 20     6 Sepal.Length             2
+#&gt; 21     6  Sepal.Width             3
+#&gt; 22     7 Petal.Length             0
+#&gt; 23     7  Petal.Width             2
+#&gt; 24     7 Sepal.Length             1
+#&gt; 25     7  Sepal.Width             2
+#&gt; 26     8 Petal.Length             1
+#&gt; 27     8  Petal.Width             1
+#&gt; 28     8 Sepal.Length             0
+#&gt; 29     8  Sepal.Width             2
+#&gt; 30     9 Petal.Length             0
+#&gt; 31     9  Petal.Width             1
+#&gt; 32     9 Sepal.Length             3
+#&gt; 33     9  Sepal.Width             2
+#&gt; 34    10 Petal.Length             2
+#&gt; 35    10  Petal.Width             1
+#&gt; 36    10 Sepal.Length             0
+#&gt; 37    11 Petal.Length             3
+#&gt; 38    11  Petal.Width             1
+#&gt; 39    11 Sepal.Length             0
+#&gt; 40    11  Sepal.Width             3
+#&gt; 41    12 Petal.Length             1
+#&gt; 42    12  Petal.Width             0
+#&gt; 43    12  Sepal.Width             3
+#&gt; 44    13 Petal.Length             2
+#&gt; 45    13  Petal.Width             3
+#&gt; 46    13 Sepal.Length             0
+#&gt; 47    13  Sepal.Width             1
+#&gt; 48    14 Petal.Length             0
+#&gt; 49    14  Petal.Width             3
+#&gt; 50    14 Sepal.Length             2
+#&gt; 51    14  Sepal.Width             2
+#&gt; 52    15 Petal.Length             2
+#&gt; 53    15  Petal.Width             0
+#&gt; 54    15 Sepal.Length             3
+#&gt; 55    15  Sepal.Width             2
+#&gt; 56    16 Petal.Length             0
+#&gt; 57    16  Petal.Width             3
+#&gt; 58    16 Sepal.Length             4
+#&gt; 59    16  Sepal.Width             4
+#&gt; 60    17 Petal.Length             2
+#&gt; 61    17  Petal.Width             1
+#&gt; 62    17 Sepal.Length             0
+#&gt; 63    17  Sepal.Width             2
+#&gt; 64    18 Petal.Length             2
+#&gt; 65    18  Petal.Width             0
+#&gt; 66    18 Sepal.Length             1
+#&gt; 67    18  Sepal.Width             4
+#&gt; 68    19 Petal.Length             1
+#&gt; 69    19  Petal.Width             0
+#&gt; 70    19 Sepal.Length             2
+#&gt; 71    19  Sepal.Width             2
+#&gt; 72    20 Petal.Length             0
+#&gt; 73    20  Petal.Width             1
+#&gt; 74    20 Sepal.Length             2
+#&gt; 75    20  Sepal.Width             3
+#&gt; 76    21 Petal.Length             2
+#&gt; 77    21  Petal.Width             1
+#&gt; 78    21 Sepal.Length             0
+#&gt; 79    21  Sepal.Width             3
+#&gt; 80    22 Petal.Length             0
+#&gt; 81    22  Petal.Width             2
+#&gt; 82    22 Sepal.Length             3
+#&gt; 83    23 Petal.Length             1
+#&gt; 84    23  Petal.Width             0
+#&gt; 85    23  Sepal.Width             4
+#&gt; 86    24 Petal.Length             2
+#&gt; 87    24  Petal.Width             0
+#&gt; 88    24  Sepal.Width             3
+#&gt; 89    25 Petal.Length             0
+#&gt; 90    25  Petal.Width             2
+#&gt; 91    25 Sepal.Length             1
+#&gt; 92    26 Petal.Length             1
+#&gt; 93    26  Petal.Width             0
+#&gt; 94    26 Sepal.Length             2
+#&gt; 95    26  Sepal.Width             3
+#&gt; 96    27 Petal.Length             1
+#&gt; 97    27  Petal.Width             0
+#&gt; 98    27 Sepal.Length             2
+#&gt; 99    27  Sepal.Width             3
+#&gt; 100   28 Petal.Length             1
+#&gt; 101   28  Petal.Width             0
+#&gt; 102   28 Sepal.Length             4
+#&gt; 103   28  Sepal.Width             3
+#&gt; 104   29 Petal.Length             0
+#&gt; 105   30 Petal.Length             2
+#&gt; 106   30  Petal.Width             0
 #&gt; 107   31 Petal.Length             0
 #&gt; 108   31  Petal.Width             1
 #&gt; 109   31 Sepal.Length             4
 #&gt; 110   31  Sepal.Width             2
-#&gt; 111   32 Petal.Length             2
+#&gt; 111   32 Petal.Length             3
 #&gt; 112   32  Petal.Width             0
 #&gt; 113   32 Sepal.Length             1
-#&gt; 114   33 Petal.Length             1
-#&gt; 115   33  Petal.Width             0
-#&gt; 116   33 Sepal.Length             5
-#&gt; 117   33  Sepal.Width             3
-#&gt; 118   34 Petal.Length             0
-#&gt; 119   34  Petal.Width             1
-#&gt; 120   34  Sepal.Width             3
-#&gt; 121   35 Petal.Length             0
-#&gt; 122   35  Petal.Width             2
-#&gt; 123   35 Sepal.Length             3
-#&gt; 124   36 Petal.Length             2
-#&gt; 125   36  Petal.Width             0
-#&gt; 126   36 Sepal.Length             2
-#&gt; 127   36  Sepal.Width             5
-#&gt; 128   37 Petal.Length             2
-#&gt; 129   37  Petal.Width             0
-#&gt; 130   37  Sepal.Width             1
-#&gt; 131   38 Petal.Length             0
-#&gt; 132   38  Petal.Width             1
-#&gt; 133   38 Sepal.Length             2
-#&gt; 134   39 Petal.Length             2
-#&gt; 135   39  Petal.Width             1
-#&gt; 136   39 Sepal.Length             0
-#&gt; 137   39  Sepal.Width             1
-#&gt; 138   40 Petal.Length             0
-#&gt; 139   40  Petal.Width             2
-#&gt; 140   40 Sepal.Length             4
+#&gt; 114   32  Sepal.Width             3
+#&gt; 115   33 Petal.Length             1
+#&gt; 116   33  Petal.Width             1
+#&gt; 117   33 Sepal.Length             0
+#&gt; 118   33  Sepal.Width             5
+#&gt; 119   34 Petal.Length             1
+#&gt; 120   34  Petal.Width             1
+#&gt; 121   34 Sepal.Length             0
+#&gt; 122   34  Sepal.Width             3
+#&gt; 123   35 Petal.Length             0
+#&gt; 124   35  Petal.Width             1
+#&gt; 125   35  Sepal.Width             3
+#&gt; 126   36 Petal.Length             0
+#&gt; 127   36  Petal.Width             1
+#&gt; 128   36  Sepal.Width             3
+#&gt; 129   37 Petal.Length             2
+#&gt; 130   37  Petal.Width             0
+#&gt; 131   37 Sepal.Length             1
+#&gt; 132   37  Sepal.Width             3
+#&gt; 133   38 Petal.Length             0
+#&gt; 134   38  Petal.Width             1
+#&gt; 135   38  Sepal.Width             2
+#&gt; 136   39 Petal.Length             0
+#&gt; 137   39  Petal.Width             2
+#&gt; 138   40 Petal.Length             3
+#&gt; 139   40  Petal.Width             0
+#&gt; 140   40 Sepal.Length             1
 #&gt; 141   41 Petal.Length             2
 #&gt; 142   41  Petal.Width             0
-#&gt; 143   42 Petal.Length             0
-#&gt; 144   42  Petal.Width             2
-#&gt; 145   42 Sepal.Length             1
-#&gt; 146   43 Petal.Length             0
-#&gt; 147   43  Petal.Width             2
-#&gt; 148   43 Sepal.Length             2
-#&gt; 149   44 Petal.Length             2
-#&gt; 150   44  Petal.Width             1
-#&gt; 151   44 Sepal.Length             0
-#&gt; 152   44  Sepal.Width             2
+#&gt; 143   41 Sepal.Length             1
+#&gt; 144   42 Petal.Length             0
+#&gt; 145   42  Petal.Width             1
+#&gt; 146   42 Sepal.Length             3
+#&gt; 147   43 Petal.Length             1
+#&gt; 148   43  Petal.Width             0
+#&gt; 149   43 Sepal.Length             2
+#&gt; 150   44 Petal.Length             0
+#&gt; 151   44  Petal.Width             2
+#&gt; 152   44  Sepal.Width             4
 #&gt; 153   45 Petal.Length             0
 #&gt; 154   45  Petal.Width             2
-#&gt; 155   45 Sepal.Length             1
-#&gt; 156   45  Sepal.Width             3
-#&gt; 157   46 Petal.Length             3
-#&gt; 158   46  Petal.Width             1
-#&gt; 159   46 Sepal.Length             0
-#&gt; 160   46  Sepal.Width             1
-#&gt; 161   47 Petal.Length             3
-#&gt; 162   47  Petal.Width             0
-#&gt; 163   47 Sepal.Length             3
-#&gt; 164   47  Sepal.Width             2
-#&gt; 165   48 Petal.Length             0
-#&gt; 166   48  Petal.Width             2
-#&gt; 167   48 Sepal.Length             1
-#&gt; 168   48  Sepal.Width             3
-#&gt; 169   49 Petal.Length             1
-#&gt; 170   49  Petal.Width             1
-#&gt; 171   49 Sepal.Length             0
-#&gt; 172   49  Sepal.Width             2
-#&gt; 173   50 Petal.Length             1
-#&gt; 174   50  Petal.Width             1
-#&gt; 175   50 Sepal.Length             0
-#&gt; 176   51 Petal.Length             2
-#&gt; 177   51  Petal.Width             0
-#&gt; 178   51 Sepal.Length             3
-#&gt; 179   51  Sepal.Width             2
-#&gt; 180   52 Petal.Length             2
-#&gt; 181   52  Petal.Width             1
-#&gt; 182   52 Sepal.Length             0
-#&gt; 183   53 Petal.Length             4
-#&gt; 184   53  Petal.Width             0
-#&gt; 185   53  Sepal.Width             3
-#&gt; 186   54 Petal.Length             2
-#&gt; 187   54  Petal.Width             1
-#&gt; 188   54 Sepal.Length             0
-#&gt; 189   54  Sepal.Width             1
-#&gt; 190   55 Petal.Length             3
-#&gt; 191   55  Petal.Width             0
-#&gt; 192   55 Sepal.Length             1
-#&gt; 193   55  Sepal.Width             4
-#&gt; 194   56 Petal.Length             0
-#&gt; 195   56  Petal.Width             1
-#&gt; 196   56 Sepal.Length             3
-#&gt; 197   56  Sepal.Width             3
-#&gt; 198   57 Petal.Length             0
-#&gt; 199   57 Sepal.Length             1
-#&gt; 200   58 Petal.Length             1
-#&gt; 201   58  Petal.Width             0
-#&gt; 202   59 Petal.Length             0
-#&gt; 203   59  Petal.Width             1
-#&gt; 204   59 Sepal.Length             3
-#&gt; 205   60 Petal.Length             2
-#&gt; 206   60  Petal.Width             1
-#&gt; 207   60 Sepal.Length             0
-#&gt; 208   60  Sepal.Width             3
-#&gt; 209   61 Petal.Length             1
-#&gt; 210   61  Petal.Width             2
-#&gt; 211   61 Sepal.Length             0
-#&gt; 212   61  Sepal.Width             4
-#&gt; 213   62 Petal.Length             0
-#&gt; 214   62  Petal.Width             3
-#&gt; 215   62 Sepal.Length             1
-#&gt; 216   62  Sepal.Width             4
-#&gt; 217   63 Petal.Length             0
-#&gt; 218   63  Petal.Width             2
-#&gt; 219   63 Sepal.Length             3
-#&gt; 220   63  Sepal.Width             5
-#&gt; 221   64 Petal.Length             0
-#&gt; 222   64  Petal.Width             2
-#&gt; 223   64 Sepal.Length             1
-#&gt; 224   64  Sepal.Width             4
-#&gt; 225   65 Petal.Length             0
-#&gt; 226   65  Petal.Width             1
-#&gt; 227   65  Sepal.Width             3
-#&gt; 228   66 Petal.Length             2
-#&gt; 229   66  Petal.Width             0
-#&gt; 230   66 Sepal.Length             1
-#&gt; 231   66  Sepal.Width             4
-#&gt; 232   67 Petal.Length             0
-#&gt; 233   67  Petal.Width             1
-#&gt; 234   67 Sepal.Length             3
-#&gt; 235   67  Sepal.Width             2
-#&gt; 236   68 Petal.Length             1
-#&gt; 237   68  Petal.Width             2
-#&gt; 238   68 Sepal.Length             0
-#&gt; 239   68  Sepal.Width             2
-#&gt; 240   69 Petal.Length             4
-#&gt; 241   69  Petal.Width             1
-#&gt; 242   69 Sepal.Length             0
-#&gt; 243   69  Sepal.Width             2
-#&gt; 244   70 Petal.Length             0
-#&gt; 245   70  Petal.Width             1
-#&gt; 246   70 Sepal.Length             2
-#&gt; 247   71 Petal.Length             1
-#&gt; 248   71  Petal.Width             0
-#&gt; 249   71 Sepal.Length             3
-#&gt; 250   71  Sepal.Width             3
-#&gt; 251   72  Petal.Width             1
-#&gt; 252   72 Sepal.Length             0
-#&gt; 253   72  Sepal.Width             3
-#&gt; 254   73 Petal.Length             6
-#&gt; 255   73  Petal.Width             0
-#&gt; 256   73 Sepal.Length             2
-#&gt; 257   73  Sepal.Width             3
-#&gt; 258   74 Petal.Length             1
-#&gt; 259   74  Petal.Width             0
-#&gt; 260   74 Sepal.Length             5
-#&gt; 261   75 Petal.Length             1
-#&gt; 262   75  Petal.Width             1
-#&gt; 263   75 Sepal.Length             0
-#&gt; 264   75  Sepal.Width             2
-#&gt; 265   76  Petal.Width             0
-#&gt; 266   76 Sepal.Length             1
-#&gt; 267   76  Sepal.Width             2
-#&gt; 268   77 Petal.Length             0
-#&gt; 269   77  Petal.Width             1
-#&gt; 270   77  Sepal.Width             3
-#&gt; 271   78 Petal.Length             1
-#&gt; 272   78 Sepal.Length             0
-#&gt; 273   79 Petal.Length             0
-#&gt; 274   79  Petal.Width             2
-#&gt; 275   79 Sepal.Length             2
-#&gt; 276   80 Petal.Length             0
-#&gt; 277   80  Petal.Width             1
-#&gt; 278   80 Sepal.Length             2
-#&gt; 279   81 Petal.Length             2
-#&gt; 280   81  Petal.Width             0
-#&gt; 281   81 Sepal.Length             1
-#&gt; 282   81  Sepal.Width             3
-#&gt; 283   82 Petal.Length             0
-#&gt; 284   82  Petal.Width             1
-#&gt; 285   82 Sepal.Length             2
-#&gt; 286   82  Sepal.Width             3
-#&gt; 287   83 Petal.Length             0
-#&gt; 288   83  Petal.Width             2
-#&gt; 289   83 Sepal.Length             1
-#&gt; 290   84 Petal.Length             1
-#&gt; 291   84  Petal.Width             0
-#&gt; 292   84  Sepal.Width             4
-#&gt; 293   85 Petal.Length             2
-#&gt; 294   85  Petal.Width             1
-#&gt; 295   85 Sepal.Length             0
-#&gt; 296   85  Sepal.Width             1
-#&gt; 297   86 Petal.Length             0
-#&gt; 298   86  Petal.Width             3
-#&gt; 299   86 Sepal.Length             2
-#&gt; 300   87 Petal.Length             0
-#&gt; 301   87  Petal.Width             1
-#&gt; 302   87 Sepal.Length             2
-#&gt; 303   87  Sepal.Width             3
-#&gt; 304   88 Petal.Length             1
-#&gt; 305   88  Petal.Width             2
-#&gt; 306   88 Sepal.Length             0
-#&gt; 307   88  Sepal.Width             1
-#&gt; 308   89 Petal.Length             0
-#&gt; 309   89  Petal.Width             4
-#&gt; 310   89 Sepal.Length             1
-#&gt; 311   89  Sepal.Width             2
-#&gt; 312   90 Petal.Length             2
-#&gt; 313   90  Petal.Width             0
-#&gt; 314   90 Sepal.Length             2
-#&gt; 315   90  Sepal.Width             3
-#&gt; 316   91 Petal.Length             0
-#&gt; 317   91  Petal.Width             1
-#&gt; 318   91 Sepal.Length             2
-#&gt; 319   92 Petal.Length             2
-#&gt; 320   92  Petal.Width             0
-#&gt; 321   92 Sepal.Length             1
-#&gt; 322   93 Petal.Length             0
-#&gt; 323   93  Petal.Width             2
-#&gt; 324   93 Sepal.Length             3
-#&gt; 325   94 Petal.Length             1
-#&gt; 326   94  Petal.Width             0
-#&gt; 327   94 Sepal.Length             2
-#&gt; 328   95 Petal.Length             3
-#&gt; 329   95  Petal.Width             0
-#&gt; 330   95 Sepal.Length             3
-#&gt; 331   96 Petal.Length             0
-#&gt; 332   96  Petal.Width             2
-#&gt; 333   96  Sepal.Width             5
-#&gt; 334   97 Petal.Length             0
-#&gt; 335   97  Petal.Width             1
-#&gt; 336   97 Sepal.Length             2
-#&gt; 337   97  Sepal.Width             4
-#&gt; 338   98 Petal.Length             0
-#&gt; 339   98  Petal.Width             1
-#&gt; 340   98 Sepal.Length             3
-#&gt; 341   99 Petal.Length             0
-#&gt; 342   99  Petal.Width             6
-#&gt; 343   99 Sepal.Length             2
-#&gt; 344   99  Sepal.Width             3
-#&gt; 345  100 Petal.Length             0
-#&gt; 346  100  Petal.Width             1
-#&gt; 347  100 Sepal.Length             4
-#&gt; 348  100  Sepal.Width             5</div><div class='input'>
+#&gt; 155   45  Sepal.Width             3
+#&gt; 156   46 Petal.Length             1
+#&gt; 157   46  Petal.Width             2
+#&gt; 158   46 Sepal.Length             0
+#&gt; 159   46  Sepal.Width             1
+#&gt; 160   47 Petal.Length             1
+#&gt; 161   47  Petal.Width             0
+#&gt; 162   47 Sepal.Length             4
+#&gt; 163   47  Sepal.Width             2
+#&gt; 164   48 Petal.Length             0
+#&gt; 165   48  Petal.Width             2
+#&gt; 166   48  Sepal.Width             4
+#&gt; 167   49  Petal.Width             0
+#&gt; 168   49 Sepal.Length             3
+#&gt; 169   49  Sepal.Width             2
+#&gt; 170   50 Petal.Length             1
+#&gt; 171   50  Petal.Width             3
+#&gt; 172   50 Sepal.Length             0
+#&gt; 173   50  Sepal.Width             2
+#&gt; 174   51 Petal.Length             0
+#&gt; 175   51  Petal.Width             1
+#&gt; 176   52 Petal.Length             0
+#&gt; 177   52  Petal.Width             2
+#&gt; 178   52 Sepal.Length             3
+#&gt; 179   53 Petal.Length             0
+#&gt; 180   53  Petal.Width             1
+#&gt; 181   54 Petal.Length             0
+#&gt; 182   54  Petal.Width             1
+#&gt; 183   54 Sepal.Length             3
+#&gt; 184   55 Petal.Length             0
+#&gt; 185   55  Petal.Width             2
+#&gt; 186   56 Petal.Length             0
+#&gt; 187   56  Petal.Width             2
+#&gt; 188   56 Sepal.Length             4
+#&gt; 189   56  Sepal.Width             3
+#&gt; 190   57 Petal.Length             0
+#&gt; 191   57  Petal.Width             2
+#&gt; 192   58 Petal.Length             0
+#&gt; 193   58  Petal.Width             1
+#&gt; 194   58 Sepal.Length             2
+#&gt; 195   58  Sepal.Width             4
+#&gt; 196   59 Petal.Length             2
+#&gt; 197   59  Petal.Width             0
+#&gt; 198   59  Sepal.Width             3
+#&gt; 199   60 Petal.Length             0
+#&gt; 200   60  Petal.Width             2
+#&gt; 201   60 Sepal.Length             2
+#&gt; 202   60  Sepal.Width             5
+#&gt; 203   61 Petal.Length             1
+#&gt; 204   61  Petal.Width             1
+#&gt; 205   61 Sepal.Length             0
+#&gt; 206   61  Sepal.Width             2
+#&gt; 207   62 Petal.Length             3
+#&gt; 208   62  Petal.Width             0
+#&gt; 209   62 Sepal.Length             2
+#&gt; 210   62  Sepal.Width             2
+#&gt; 211   63 Petal.Length             1
+#&gt; 212   63  Petal.Width             0
+#&gt; 213   63 Sepal.Length             4
+#&gt; 214   63  Sepal.Width             3
+#&gt; 215   64 Petal.Length             0
+#&gt; 216   64  Petal.Width             2
+#&gt; 217   64 Sepal.Length             1
+#&gt; 218   64  Sepal.Width             2
+#&gt; 219   65 Petal.Length             2
+#&gt; 220   65  Petal.Width             1
+#&gt; 221   65 Sepal.Length             0
+#&gt; 222   66 Petal.Length             1
+#&gt; 223   66  Petal.Width             0
+#&gt; 224   66 Sepal.Length             4
+#&gt; 225   66  Sepal.Width             2
+#&gt; 226   67 Petal.Length             0
+#&gt; 227   67  Petal.Width             2
+#&gt; 228   67 Sepal.Length             4
+#&gt; 229   68 Petal.Length             2
+#&gt; 230   68  Petal.Width             2
+#&gt; 231   68 Sepal.Length             0
+#&gt; 232   68  Sepal.Width             1
+#&gt; 233   69 Petal.Length             1
+#&gt; 234   69  Petal.Width             2
+#&gt; 235   69 Sepal.Length             0
+#&gt; 236   69  Sepal.Width             2
+#&gt; 237   70 Petal.Length             0
+#&gt; 238   70  Petal.Width             2
+#&gt; 239   70 Sepal.Length             3
+#&gt; 240   71 Petal.Length             1
+#&gt; 241   71  Petal.Width             1
+#&gt; 242   71 Sepal.Length             0
+#&gt; 243   72 Petal.Length             3
+#&gt; 244   72  Petal.Width             0
+#&gt; 245   72 Sepal.Length             2
+#&gt; 246   73 Petal.Length             1
+#&gt; 247   73  Petal.Width             2
+#&gt; 248   73 Sepal.Length             0
+#&gt; 249   74 Petal.Length             2
+#&gt; 250   74  Petal.Width             0
+#&gt; 251   74 Sepal.Length             4
+#&gt; 252   74  Sepal.Width             3
+#&gt; 253   75 Petal.Length             2
+#&gt; 254   75  Petal.Width             0
+#&gt; 255   75 Sepal.Length             4
+#&gt; 256   76 Petal.Length             3
+#&gt; 257   76  Petal.Width             0
+#&gt; 258   76 Sepal.Length             1
+#&gt; 259   76  Sepal.Width             3
+#&gt; 260   77 Petal.Length             1
+#&gt; 261   77  Petal.Width             1
+#&gt; 262   77 Sepal.Length             0
+#&gt; 263   78 Petal.Length             2
+#&gt; 264   78  Petal.Width             0
+#&gt; 265   78  Sepal.Width             2
+#&gt; 266   79 Petal.Length             2
+#&gt; 267   79  Petal.Width             0
+#&gt; 268   79 Sepal.Length             1
+#&gt; 269   79  Sepal.Width             3
+#&gt; 270   80 Petal.Length             2
+#&gt; 271   80  Petal.Width             0
+#&gt; 272   80 Sepal.Length             2
+#&gt; 273   80  Sepal.Width             3
+#&gt; 274   81 Petal.Length             2
+#&gt; 275   81  Petal.Width             0
+#&gt; 276   81 Sepal.Length             3
+#&gt; 277   81  Sepal.Width             2
+#&gt; 278   82 Petal.Length             0
+#&gt; 279   82  Petal.Width             2
+#&gt; 280   82 Sepal.Length             1
+#&gt; 281   82  Sepal.Width             3
+#&gt; 282   83 Petal.Length             0
+#&gt; 283   83  Petal.Width             2
+#&gt; 284   83 Sepal.Length             2
+#&gt; 285   83  Sepal.Width             3
+#&gt; 286   84 Petal.Length             0
+#&gt; 287   84  Petal.Width             2
+#&gt; 288   84 Sepal.Length             2
+#&gt; 289   84  Sepal.Width             4
+#&gt; 290   85 Petal.Length             2
+#&gt; 291   85  Petal.Width             0
+#&gt; 292   86 Petal.Length             2
+#&gt; 293   86  Petal.Width             0
+#&gt; 294   87 Petal.Length             0
+#&gt; 295   87  Petal.Width             4
+#&gt; 296   87  Sepal.Width             2
+#&gt; 297   88  Petal.Width             0
+#&gt; 298   88 Sepal.Length             2
+#&gt; 299   88  Sepal.Width             3
+#&gt; 300   89 Petal.Length             2
+#&gt; 301   89  Petal.Width             0
+#&gt; 302   89 Sepal.Length             3
+#&gt; 303   89  Sepal.Width             3
+#&gt; 304   90 Petal.Length             1
+#&gt; 305   90  Petal.Width             0
+#&gt; 306   90 Sepal.Length             3
+#&gt; 307   90  Sepal.Width             3
+#&gt; 308   91 Petal.Length             0
+#&gt; 309   91  Petal.Width             3
+#&gt; 310   91 Sepal.Length             2
+#&gt; 311   92 Petal.Length             0
+#&gt; 312   92  Petal.Width             1
+#&gt; 313   92  Sepal.Width             2
+#&gt; 314   93 Petal.Length             0
+#&gt; 315   93  Petal.Width             2
+#&gt; 316   94 Petal.Length             1
+#&gt; 317   94  Petal.Width             0
+#&gt; 318   94 Sepal.Length             3
+#&gt; 319   95 Petal.Length             1
+#&gt; 320   95  Petal.Width             4
+#&gt; 321   95 Sepal.Length             0
+#&gt; 322   95  Sepal.Width             2
+#&gt; 323   96 Petal.Length             1
+#&gt; 324   96 Sepal.Length             0
+#&gt; 325   96  Sepal.Width             2
+#&gt; 326   97 Petal.Length             3
+#&gt; 327   97  Petal.Width             0
+#&gt; 328   97 Sepal.Length             2
+#&gt; 329   98 Petal.Length             1
+#&gt; 330   98  Petal.Width             0
+#&gt; 331   98  Sepal.Width             3
+#&gt; 332   99 Petal.Length             1
+#&gt; 333   99  Petal.Width             0
+#&gt; 334   99  Sepal.Width             3
+#&gt; 335  100 Petal.Length             1
+#&gt; 336  100  Petal.Width             3
+#&gt; 337  100 Sepal.Length             0
+#&gt; 338  100  Sepal.Width             4</div><div class='input'>
 </div></pre>
   </div>
   <div class="col-md-3 hidden-xs hidden-sm" id="pkgdown-sidebar">
diff --git a/docs/reference/min_depth_interactions.html b/docs/reference/min_depth_interactions.html
index d4ba8b4..a476bb5 100644
--- a/docs/reference/min_depth_interactions.html
+++ b/docs/reference/min_depth_interactions.html
@@ -106,7 +106,7 @@
       <ul class="nav navbar-nav navbar-right">
         <li>
   <a href="../index.html">
-    <span class="fas fa fas fa-home fa-lg"></span>
+    <span class="fas fa-home fa-lg"></span>
      
   </a>
 </li>
@@ -121,7 +121,7 @@
 </li>
         <li>
   <a href="https://github.com/ModelOriented/randomForestExplainer/">
-    <span class="fab fa fab fa-github fa-lg"></span>
+    <span class="fab fa-github fa-lg"></span>
      
   </a>
 </li>
@@ -147,12 +147,12 @@ <h1>Calculate mean conditional minimal depth</h1>
     <p>Calculate mean conditional minimal depth with respect to a vector of variables</p>
     </div>
 
-    <pre class="usage"><span class='fu'>min_depth_interactions</span>(
-  <span class='no'>forest</span>,
-  <span class='kw'>vars</span> <span class='kw'>=</span> <span class='fu'><a href='important_variables.html'>important_variables</a></span>(<span class='fu'><a href='measure_importance.html'>measure_importance</a></span>(<span class='no'>forest</span>)),
-  <span class='kw'>mean_sample</span> <span class='kw'>=</span> <span class='st'>"top_trees"</span>,
-  <span class='kw'>uncond_mean_sample</span> <span class='kw'>=</span> <span class='no'>mean_sample</span>
-)</pre>
+    <pre class="usage"><span class='fu'>min_depth_interactions</span><span class='op'>(</span>
+  <span class='va'>forest</span>,
+  vars <span class='op'>=</span> <span class='fu'><a href='important_variables.html'>important_variables</a></span><span class='op'>(</span><span class='fu'><a href='measure_importance.html'>measure_importance</a></span><span class='op'>(</span><span class='va'>forest</span><span class='op'>)</span><span class='op'>)</span>,
+  mean_sample <span class='op'>=</span> <span class='st'>"top_trees"</span>,
+  uncond_mean_sample <span class='op'>=</span> <span class='va'>mean_sample</span>
+<span class='op'>)</span></pre>
 
     <h2 class="hasAnchor" id="arguments"><a class="anchor" href="#arguments"></a>Arguments</h2>
     <table class="ref-arguments">
@@ -180,8 +180,20 @@ <h2 class="hasAnchor" id="value"><a class="anchor" href="#value"></a>Value</h2>
     <p>A data frame with each observation giving the means of conditional minimal depth and the size of sample for a given interaction</p>
 
     <h2 class="hasAnchor" id="examples"><a class="anchor" href="#examples"></a>Examples</h2>
-    <pre class="examples"><div class='input'><span class='no'>forest</span> <span class='kw'>&lt;-</span> <span class='kw pkg'>randomForest</span><span class='kw ns'>::</span><span class='fu'><a href='https://rdrr.io/pkg/randomForest/man/randomForest.html'>randomForest</a></span>(<span class='no'>Species</span> ~ <span class='no'>.</span>, <span class='kw'>data</span> <span class='kw'>=</span> <span class='no'>iris</span>, <span class='kw'>ntree</span> <span class='kw'>=</span> <span class='fl'>100</span>)
-<span class='fu'>min_depth_interactions</span>(<span class='no'>forest</span>, <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span>(<span class='st'>"Petal.Width"</span>, <span class='st'>"Petal.Length"</span>))</div></pre>
+    <pre class="examples"><div class='input'><span class='va'>forest</span> <span class='op'>&lt;-</span> <span class='fu'>randomForest</span><span class='fu'>::</span><span class='fu'><a href='https://rdrr.io/pkg/randomForest/man/randomForest.html'>randomForest</a></span><span class='op'>(</span><span class='va'>Species</span> <span class='op'>~</span> <span class='va'>.</span>, data <span class='op'>=</span> <span class='va'>iris</span>, ntree <span class='op'>=</span> <span class='fl'>100</span><span class='op'>)</span>
+<span class='fu'>min_depth_interactions</span><span class='op'>(</span><span class='va'>forest</span>, <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span><span class='op'>(</span><span class='st'>"Petal.Width"</span>, <span class='st'>"Petal.Length"</span><span class='op'>)</span><span class='op'>)</span>
+</div><div class='output co'>#&gt; <span class='warning'>Warning: `funs()` was deprecated in dplyr 0.8.0.</span>
+#&gt; <span class='warning'>Please use a list of either functions or lambdas: </span>
+#&gt; <span class='warning'></span>
+#&gt; <span class='warning'>  # Simple named list: </span>
+#&gt; <span class='warning'>  list(mean = mean, median = median)</span>
+#&gt; <span class='warning'></span>
+#&gt; <span class='warning'>  # Auto named with `tibble::lst()`: </span>
+#&gt; <span class='warning'>  tibble::lst(mean, median)</span>
+#&gt; <span class='warning'></span>
+#&gt; <span class='warning'>  # Using lambdas</span>
+#&gt; <span class='warning'>  list(~ mean(., trim = .2), ~ median(., na.rm = TRUE))</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to max; returning -Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='input'>
+</div></pre>
   </div>
   <div class="col-md-3 hidden-xs hidden-sm" id="pkgdown-sidebar">
     <nav id="toc" data-toggle="toc" class="sticky-top">
diff --git a/docs/reference/plot_importance_ggpairs-1.png b/docs/reference/plot_importance_ggpairs-1.png
index 8c1e931..3fb3d16 100644
Binary files a/docs/reference/plot_importance_ggpairs-1.png and b/docs/reference/plot_importance_ggpairs-1.png differ
diff --git a/docs/reference/plot_importance_ggpairs.html b/docs/reference/plot_importance_ggpairs.html
index 6286e9e..b7215a6 100644
--- a/docs/reference/plot_importance_ggpairs.html
+++ b/docs/reference/plot_importance_ggpairs.html
@@ -106,7 +106,7 @@
       <ul class="nav navbar-nav navbar-right">
         <li>
   <a href="../index.html">
-    <span class="fas fa fas fa-home fa-lg"></span>
+    <span class="fas fa-home fa-lg"></span>
      
   </a>
 </li>
@@ -121,7 +121,7 @@
 </li>
         <li>
   <a href="https://github.com/ModelOriented/randomForestExplainer/">
-    <span class="fab fa fab fa-github fa-lg"></span>
+    <span class="fab fa-github fa-lg"></span>
      
   </a>
 </li>
@@ -147,11 +147,11 @@ <h1>Plot importance measures with ggpairs</h1>
     <p>Plot selected measures of importance of variables in a forest using ggpairs</p>
     </div>
 
-    <pre class="usage"><span class='fu'>plot_importance_ggpairs</span>(
-  <span class='no'>importance_frame</span>,
-  <span class='kw'>measures</span> <span class='kw'>=</span> <span class='kw'>NULL</span>,
-  <span class='kw'>main</span> <span class='kw'>=</span> <span class='st'>"Relations between measures of importance"</span>
-)</pre>
+    <pre class="usage"><span class='fu'>plot_importance_ggpairs</span><span class='op'>(</span>
+  <span class='va'>importance_frame</span>,
+  measures <span class='op'>=</span> <span class='cn'>NULL</span>,
+  main <span class='op'>=</span> <span class='st'>"Relations between measures of importance"</span>
+<span class='op'>)</span></pre>
 
     <h2 class="hasAnchor" id="arguments"><a class="anchor" href="#arguments"></a>Arguments</h2>
     <table class="ref-arguments">
@@ -175,9 +175,10 @@ <h2 class="hasAnchor" id="value"><a class="anchor" href="#value"></a>Value</h2>
     <p>A ggplot object</p>
 
     <h2 class="hasAnchor" id="examples"><a class="anchor" href="#examples"></a>Examples</h2>
-    <pre class="examples"><div class='input'><span class='no'>forest</span> <span class='kw'>&lt;-</span> <span class='kw pkg'>randomForest</span><span class='kw ns'>::</span><span class='fu'><a href='https://rdrr.io/pkg/randomForest/man/randomForest.html'>randomForest</a></span>(<span class='no'>Species</span> ~ <span class='no'>.</span>, <span class='kw'>data</span> <span class='kw'>=</span> <span class='no'>iris</span>, <span class='kw'>localImp</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>, <span class='kw'>ntree</span> <span class='kw'>=</span> <span class='fl'>200</span>)
-<span class='no'>frame</span> <span class='kw'>&lt;-</span> <span class='fu'><a href='measure_importance.html'>measure_importance</a></span>(<span class='no'>forest</span>, <span class='kw'>measures</span> <span class='kw'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span>(<span class='st'>"mean_min_depth"</span>, <span class='st'>"times_a_root"</span>))
-<span class='fu'>plot_importance_ggpairs</span>(<span class='no'>frame</span>, <span class='kw'>measures</span> <span class='kw'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span>(<span class='st'>"mean_min_depth"</span>, <span class='st'>"times_a_root"</span>))</div><div class='img'><img src='plot_importance_ggpairs-1.png' alt='' width='700' height='433' /></div><div class='input'>
+    <pre class="examples"><div class='input'><span class='va'>forest</span> <span class='op'>&lt;-</span> <span class='fu'>randomForest</span><span class='fu'>::</span><span class='fu'><a href='https://rdrr.io/pkg/randomForest/man/randomForest.html'>randomForest</a></span><span class='op'>(</span><span class='va'>Species</span> <span class='op'>~</span> <span class='va'>.</span>, data <span class='op'>=</span> <span class='va'>iris</span>, localImp <span class='op'>=</span> <span class='cn'>TRUE</span>, ntree <span class='op'>=</span> <span class='fl'>200</span><span class='op'>)</span>
+<span class='va'>frame</span> <span class='op'>&lt;-</span> <span class='fu'><a href='measure_importance.html'>measure_importance</a></span><span class='op'>(</span><span class='va'>forest</span>, measures <span class='op'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span><span class='op'>(</span><span class='st'>"mean_min_depth"</span>, <span class='st'>"times_a_root"</span><span class='op'>)</span><span class='op'>)</span>
+<span class='fu'>plot_importance_ggpairs</span><span class='op'>(</span><span class='va'>frame</span>, measures <span class='op'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span><span class='op'>(</span><span class='st'>"mean_min_depth"</span>, <span class='st'>"times_a_root"</span><span class='op'>)</span><span class='op'>)</span>
+</div><div class='img'><img src='plot_importance_ggpairs-1.png' alt='' width='700' height='433' /></div><div class='input'>
 </div></pre>
   </div>
   <div class="col-md-3 hidden-xs hidden-sm" id="pkgdown-sidebar">
diff --git a/docs/reference/plot_importance_rankings-1.png b/docs/reference/plot_importance_rankings-1.png
index 87052f1..114079f 100644
Binary files a/docs/reference/plot_importance_rankings-1.png and b/docs/reference/plot_importance_rankings-1.png differ
diff --git a/docs/reference/plot_importance_rankings.html b/docs/reference/plot_importance_rankings.html
index d48dbf3..dbd71d2 100644
--- a/docs/reference/plot_importance_rankings.html
+++ b/docs/reference/plot_importance_rankings.html
@@ -106,7 +106,7 @@
       <ul class="nav navbar-nav navbar-right">
         <li>
   <a href="../index.html">
-    <span class="fas fa fas fa-home fa-lg"></span>
+    <span class="fas fa-home fa-lg"></span>
      
   </a>
 </li>
@@ -121,7 +121,7 @@
 </li>
         <li>
   <a href="https://github.com/ModelOriented/randomForestExplainer/">
-    <span class="fab fa fab fa-github fa-lg"></span>
+    <span class="fab fa-github fa-lg"></span>
      
   </a>
 </li>
@@ -147,11 +147,11 @@ <h1>Plot importance measures rankings with ggpairs</h1>
     <p>Plot against each other rankings of variables according to various measures of importance</p>
     </div>
 
-    <pre class="usage"><span class='fu'>plot_importance_rankings</span>(
-  <span class='no'>importance_frame</span>,
-  <span class='kw'>measures</span> <span class='kw'>=</span> <span class='kw'>NULL</span>,
-  <span class='kw'>main</span> <span class='kw'>=</span> <span class='st'>"Relations between rankings according to different measures"</span>
-)</pre>
+    <pre class="usage"><span class='fu'>plot_importance_rankings</span><span class='op'>(</span>
+  <span class='va'>importance_frame</span>,
+  measures <span class='op'>=</span> <span class='cn'>NULL</span>,
+  main <span class='op'>=</span> <span class='st'>"Relations between rankings according to different measures"</span>
+<span class='op'>)</span></pre>
 
     <h2 class="hasAnchor" id="arguments"><a class="anchor" href="#arguments"></a>Arguments</h2>
     <table class="ref-arguments">
@@ -175,9 +175,10 @@ <h2 class="hasAnchor" id="value"><a class="anchor" href="#value"></a>Value</h2>
     <p>A ggplot object</p>
 
     <h2 class="hasAnchor" id="examples"><a class="anchor" href="#examples"></a>Examples</h2>
-    <pre class="examples"><div class='input'><span class='no'>forest</span> <span class='kw'>&lt;-</span> <span class='kw pkg'>randomForest</span><span class='kw ns'>::</span><span class='fu'><a href='https://rdrr.io/pkg/randomForest/man/randomForest.html'>randomForest</a></span>(<span class='no'>Species</span> ~ <span class='no'>.</span>, <span class='kw'>data</span> <span class='kw'>=</span> <span class='no'>iris</span>, <span class='kw'>localImp</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>, <span class='kw'>ntree</span> <span class='kw'>=</span> <span class='fl'>300</span>)
-<span class='no'>frame</span> <span class='kw'>&lt;-</span> <span class='fu'><a href='measure_importance.html'>measure_importance</a></span>(<span class='no'>forest</span>, <span class='kw'>measures</span> <span class='kw'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span>(<span class='st'>"mean_min_depth"</span>, <span class='st'>"times_a_root"</span>))
-<span class='fu'><a href='plot_importance_ggpairs.html'>plot_importance_ggpairs</a></span>(<span class='no'>frame</span>, <span class='kw'>measures</span> <span class='kw'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span>(<span class='st'>"mean_min_depth"</span>, <span class='st'>"times_a_root"</span>))</div><div class='img'><img src='plot_importance_rankings-1.png' alt='' width='700' height='433' /></div><div class='input'>
+    <pre class="examples"><div class='input'><span class='va'>forest</span> <span class='op'>&lt;-</span> <span class='fu'>randomForest</span><span class='fu'>::</span><span class='fu'><a href='https://rdrr.io/pkg/randomForest/man/randomForest.html'>randomForest</a></span><span class='op'>(</span><span class='va'>Species</span> <span class='op'>~</span> <span class='va'>.</span>, data <span class='op'>=</span> <span class='va'>iris</span>, localImp <span class='op'>=</span> <span class='cn'>TRUE</span>, ntree <span class='op'>=</span> <span class='fl'>300</span><span class='op'>)</span>
+<span class='va'>frame</span> <span class='op'>&lt;-</span> <span class='fu'><a href='measure_importance.html'>measure_importance</a></span><span class='op'>(</span><span class='va'>forest</span>, measures <span class='op'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span><span class='op'>(</span><span class='st'>"mean_min_depth"</span>, <span class='st'>"times_a_root"</span><span class='op'>)</span><span class='op'>)</span>
+<span class='fu'><a href='plot_importance_ggpairs.html'>plot_importance_ggpairs</a></span><span class='op'>(</span><span class='va'>frame</span>, measures <span class='op'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span><span class='op'>(</span><span class='st'>"mean_min_depth"</span>, <span class='st'>"times_a_root"</span><span class='op'>)</span><span class='op'>)</span>
+</div><div class='img'><img src='plot_importance_rankings-1.png' alt='' width='700' height='433' /></div><div class='input'>
 </div></pre>
   </div>
   <div class="col-md-3 hidden-xs hidden-sm" id="pkgdown-sidebar">
diff --git a/docs/reference/plot_min_depth_distribution-1.png b/docs/reference/plot_min_depth_distribution-1.png
index f8d41a3..d34731d 100644
Binary files a/docs/reference/plot_min_depth_distribution-1.png and b/docs/reference/plot_min_depth_distribution-1.png differ
diff --git a/docs/reference/plot_min_depth_distribution.html b/docs/reference/plot_min_depth_distribution.html
index 4355df6..6a29fda 100644
--- a/docs/reference/plot_min_depth_distribution.html
+++ b/docs/reference/plot_min_depth_distribution.html
@@ -106,7 +106,7 @@
       <ul class="nav navbar-nav navbar-right">
         <li>
   <a href="../index.html">
-    <span class="fas fa fas fa-home fa-lg"></span>
+    <span class="fas fa-home fa-lg"></span>
      
   </a>
 </li>
@@ -121,7 +121,7 @@
 </li>
         <li>
   <a href="https://github.com/ModelOriented/randomForestExplainer/">
-    <span class="fab fa fab fa-github fa-lg"></span>
+    <span class="fab fa-github fa-lg"></span>
      
   </a>
 </li>
@@ -147,15 +147,15 @@ <h1>Plot the distribution of minimal depth in a random forest</h1>
     <p>Plot the distribution of minimal depth in a random forest</p>
     </div>
 
-    <pre class="usage"><span class='fu'>plot_min_depth_distribution</span>(
-  <span class='no'>min_depth_frame</span>,
-  <span class='kw'>k</span> <span class='kw'>=</span> <span class='fl'>10</span>,
-  <span class='kw'>min_no_of_trees</span> <span class='kw'>=</span> <span class='fl'>0</span>,
-  <span class='kw'>mean_sample</span> <span class='kw'>=</span> <span class='st'>"top_trees"</span>,
-  <span class='kw'>mean_scale</span> <span class='kw'>=</span> <span class='fl'>FALSE</span>,
-  <span class='kw'>mean_round</span> <span class='kw'>=</span> <span class='fl'>2</span>,
-  <span class='kw'>main</span> <span class='kw'>=</span> <span class='st'>"Distribution of minimal depth and its mean"</span>
-)</pre>
+    <pre class="usage"><span class='fu'>plot_min_depth_distribution</span><span class='op'>(</span>
+  <span class='va'>min_depth_frame</span>,
+  k <span class='op'>=</span> <span class='fl'>10</span>,
+  min_no_of_trees <span class='op'>=</span> <span class='fl'>0</span>,
+  mean_sample <span class='op'>=</span> <span class='st'>"top_trees"</span>,
+  mean_scale <span class='op'>=</span> <span class='cn'>FALSE</span>,
+  mean_round <span class='op'>=</span> <span class='fl'>2</span>,
+  main <span class='op'>=</span> <span class='st'>"Distribution of minimal depth and its mean"</span>
+<span class='op'>)</span></pre>
 
     <h2 class="hasAnchor" id="arguments"><a class="anchor" href="#arguments"></a>Arguments</h2>
     <table class="ref-arguments">
@@ -195,8 +195,9 @@ <h2 class="hasAnchor" id="value"><a class="anchor" href="#value"></a>Value</h2>
     <p>A ggplot object</p>
 
     <h2 class="hasAnchor" id="examples"><a class="anchor" href="#examples"></a>Examples</h2>
-    <pre class="examples"><div class='input'><span class='no'>forest</span> <span class='kw'>&lt;-</span> <span class='kw pkg'>randomForest</span><span class='kw ns'>::</span><span class='fu'><a href='https://rdrr.io/pkg/randomForest/man/randomForest.html'>randomForest</a></span>(<span class='no'>Species</span> ~ <span class='no'>.</span>, <span class='kw'>data</span> <span class='kw'>=</span> <span class='no'>iris</span>, <span class='kw'>ntree</span> <span class='kw'>=</span> <span class='fl'>300</span>)
-<span class='fu'>plot_min_depth_distribution</span>(<span class='fu'><a href='min_depth_distribution.html'>min_depth_distribution</a></span>(<span class='no'>forest</span>))</div><div class='img'><img src='plot_min_depth_distribution-1.png' alt='' width='700' height='433' /></div><div class='input'>
+    <pre class="examples"><div class='input'><span class='va'>forest</span> <span class='op'>&lt;-</span> <span class='fu'>randomForest</span><span class='fu'>::</span><span class='fu'><a href='https://rdrr.io/pkg/randomForest/man/randomForest.html'>randomForest</a></span><span class='op'>(</span><span class='va'>Species</span> <span class='op'>~</span> <span class='va'>.</span>, data <span class='op'>=</span> <span class='va'>iris</span>, ntree <span class='op'>=</span> <span class='fl'>300</span><span class='op'>)</span>
+<span class='fu'>plot_min_depth_distribution</span><span class='op'>(</span><span class='fu'><a href='min_depth_distribution.html'>min_depth_distribution</a></span><span class='op'>(</span><span class='va'>forest</span><span class='op'>)</span><span class='op'>)</span>
+</div><div class='img'><img src='plot_min_depth_distribution-1.png' alt='' width='700' height='433' /></div><div class='input'>
 </div></pre>
   </div>
   <div class="col-md-3 hidden-xs hidden-sm" id="pkgdown-sidebar">
diff --git a/docs/reference/plot_min_depth_interactions-1.png b/docs/reference/plot_min_depth_interactions-1.png
index 8000f09..926d96a 100644
Binary files a/docs/reference/plot_min_depth_interactions-1.png and b/docs/reference/plot_min_depth_interactions-1.png differ
diff --git a/docs/reference/plot_min_depth_interactions.html b/docs/reference/plot_min_depth_interactions.html
index 1a4861e..e9926ae 100644
--- a/docs/reference/plot_min_depth_interactions.html
+++ b/docs/reference/plot_min_depth_interactions.html
@@ -106,7 +106,7 @@
       <ul class="nav navbar-nav navbar-right">
         <li>
   <a href="../index.html">
-    <span class="fas fa fas fa-home fa-lg"></span>
+    <span class="fas fa-home fa-lg"></span>
      
   </a>
 </li>
@@ -121,7 +121,7 @@
 </li>
         <li>
   <a href="https://github.com/ModelOriented/randomForestExplainer/">
-    <span class="fab fa fab fa-github fa-lg"></span>
+    <span class="fab fa-github fa-lg"></span>
      
   </a>
 </li>
@@ -147,11 +147,11 @@ <h1>Plot the top mean conditional minimal depth</h1>
     <p>Plot the top mean conditional minimal depth</p>
     </div>
 
-    <pre class="usage"><span class='fu'>plot_min_depth_interactions</span>(
-  <span class='no'>interactions_frame</span>,
-  <span class='kw'>k</span> <span class='kw'>=</span> <span class='fl'>30</span>,
-  <span class='kw'>main</span> <span class='kw'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/paste.html'>paste0</a></span>(<span class='st'>"Mean minimal depth for "</span>, <span class='fu'><a href='https://rdrr.io/r/base/paste.html'>paste0</a></span>(<span class='no'>k</span>, <span class='st'>" most frequent interactions"</span>))
-)</pre>
+    <pre class="usage"><span class='fu'>plot_min_depth_interactions</span><span class='op'>(</span>
+  <span class='va'>interactions_frame</span>,
+  k <span class='op'>=</span> <span class='fl'>30</span>,
+  main <span class='op'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/paste.html'>paste0</a></span><span class='op'>(</span><span class='st'>"Mean minimal depth for "</span>, <span class='fu'><a href='https://rdrr.io/r/base/paste.html'>paste0</a></span><span class='op'>(</span><span class='va'>k</span>, <span class='st'>" most frequent interactions"</span><span class='op'>)</span><span class='op'>)</span>
+<span class='op'>)</span></pre>
 
     <h2 class="hasAnchor" id="arguments"><a class="anchor" href="#arguments"></a>Arguments</h2>
     <table class="ref-arguments">
@@ -175,8 +175,9 @@ <h2 class="hasAnchor" id="value"><a class="anchor" href="#value"></a>Value</h2>
     <p>A ggplot2 object</p>
 
     <h2 class="hasAnchor" id="examples"><a class="anchor" href="#examples"></a>Examples</h2>
-    <pre class="examples"><div class='input'><span class='no'>forest</span> <span class='kw'>&lt;-</span> <span class='kw pkg'>randomForest</span><span class='kw ns'>::</span><span class='fu'><a href='https://rdrr.io/pkg/randomForest/man/randomForest.html'>randomForest</a></span>(<span class='no'>Species</span> ~ <span class='no'>.</span>, <span class='kw'>data</span> <span class='kw'>=</span> <span class='no'>iris</span>, <span class='kw'>ntree</span> <span class='kw'>=</span> <span class='fl'>100</span>)
-<span class='fu'>plot_min_depth_interactions</span>(<span class='fu'><a href='min_depth_interactions.html'>min_depth_interactions</a></span>(<span class='no'>forest</span>, <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span>(<span class='st'>"Petal.Width"</span>, <span class='st'>"Petal.Length"</span>)))</div><div class='img'><img src='plot_min_depth_interactions-1.png' alt='' width='700' height='433' /></div><div class='input'>
+    <pre class="examples"><div class='input'><span class='va'>forest</span> <span class='op'>&lt;-</span> <span class='fu'>randomForest</span><span class='fu'>::</span><span class='fu'><a href='https://rdrr.io/pkg/randomForest/man/randomForest.html'>randomForest</a></span><span class='op'>(</span><span class='va'>Species</span> <span class='op'>~</span> <span class='va'>.</span>, data <span class='op'>=</span> <span class='va'>iris</span>, ntree <span class='op'>=</span> <span class='fl'>100</span><span class='op'>)</span>
+<span class='fu'>plot_min_depth_interactions</span><span class='op'>(</span><span class='fu'><a href='min_depth_interactions.html'>min_depth_interactions</a></span><span class='op'>(</span><span class='va'>forest</span>, <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span><span class='op'>(</span><span class='st'>"Petal.Width"</span>, <span class='st'>"Petal.Length"</span><span class='op'>)</span><span class='op'>)</span><span class='op'>)</span>
+</div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to max; returning -Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='output co'>#&gt; <span class='warning'>Warning: no non-missing arguments to min; returning Inf</span></div><div class='img'><img src='plot_min_depth_interactions-1.png' alt='' width='700' height='433' /></div><div class='input'>
 </div></pre>
   </div>
   <div class="col-md-3 hidden-xs hidden-sm" id="pkgdown-sidebar">
diff --git a/docs/reference/plot_multi_way_importance-1.png b/docs/reference/plot_multi_way_importance-1.png
index 6d923fb..8c4876d 100644
Binary files a/docs/reference/plot_multi_way_importance-1.png and b/docs/reference/plot_multi_way_importance-1.png differ
diff --git a/docs/reference/plot_multi_way_importance.html b/docs/reference/plot_multi_way_importance.html
index c045880..d29a947 100644
--- a/docs/reference/plot_multi_way_importance.html
+++ b/docs/reference/plot_multi_way_importance.html
@@ -106,7 +106,7 @@
       <ul class="nav navbar-nav navbar-right">
         <li>
   <a href="../index.html">
-    <span class="fas fa fas fa-home fa-lg"></span>
+    <span class="fas fa-home fa-lg"></span>
      
   </a>
 </li>
@@ -121,7 +121,7 @@
 </li>
         <li>
   <a href="https://github.com/ModelOriented/randomForestExplainer/">
-    <span class="fab fa fab fa-github fa-lg"></span>
+    <span class="fab fa-github fa-lg"></span>
      
   </a>
 </li>
@@ -147,15 +147,15 @@ <h1>Multi-way importance plot</h1>
     <p>Plot two or three measures of importance of variables in a random fores. Choose importance measures from the colnames(importance_frame).</p>
     </div>
 
-    <pre class="usage"><span class='fu'>plot_multi_way_importance</span>(
-  <span class='no'>importance_frame</span>,
-  <span class='kw'>x_measure</span> <span class='kw'>=</span> <span class='st'>"mean_min_depth"</span>,
-  <span class='kw'>y_measure</span> <span class='kw'>=</span> <span class='st'>"times_a_root"</span>,
-  <span class='kw'>size_measure</span> <span class='kw'>=</span> <span class='kw'>NULL</span>,
-  <span class='kw'>min_no_of_trees</span> <span class='kw'>=</span> <span class='fl'>0</span>,
-  <span class='kw'>no_of_labels</span> <span class='kw'>=</span> <span class='fl'>10</span>,
-  <span class='kw'>main</span> <span class='kw'>=</span> <span class='st'>"Multi-way importance plot"</span>
-)</pre>
+    <pre class="usage"><span class='fu'>plot_multi_way_importance</span><span class='op'>(</span>
+  <span class='va'>importance_frame</span>,
+  x_measure <span class='op'>=</span> <span class='st'>"mean_min_depth"</span>,
+  y_measure <span class='op'>=</span> <span class='st'>"times_a_root"</span>,
+  size_measure <span class='op'>=</span> <span class='cn'>NULL</span>,
+  min_no_of_trees <span class='op'>=</span> <span class='fl'>0</span>,
+  no_of_labels <span class='op'>=</span> <span class='fl'>10</span>,
+  main <span class='op'>=</span> <span class='st'>"Multi-way importance plot"</span>
+<span class='op'>)</span></pre>
 
     <h2 class="hasAnchor" id="arguments"><a class="anchor" href="#arguments"></a>Arguments</h2>
     <table class="ref-arguments">
@@ -195,8 +195,9 @@ <h2 class="hasAnchor" id="value"><a class="anchor" href="#value"></a>Value</h2>
     <p>A ggplot object</p>
 
     <h2 class="hasAnchor" id="examples"><a class="anchor" href="#examples"></a>Examples</h2>
-    <pre class="examples"><div class='input'><span class='no'>forest</span> <span class='kw'>&lt;-</span> <span class='kw pkg'>randomForest</span><span class='kw ns'>::</span><span class='fu'><a href='https://rdrr.io/pkg/randomForest/man/randomForest.html'>randomForest</a></span>(<span class='no'>Species</span> ~ <span class='no'>.</span>, <span class='kw'>data</span> <span class='kw'>=</span> <span class='no'>iris</span>, <span class='kw'>localImp</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>)
-<span class='fu'>plot_multi_way_importance</span>(<span class='fu'><a href='measure_importance.html'>measure_importance</a></span>(<span class='no'>forest</span>))</div><div class='img'><img src='plot_multi_way_importance-1.png' alt='' width='700' height='433' /></div><div class='input'>
+    <pre class="examples"><div class='input'><span class='va'>forest</span> <span class='op'>&lt;-</span> <span class='fu'>randomForest</span><span class='fu'>::</span><span class='fu'><a href='https://rdrr.io/pkg/randomForest/man/randomForest.html'>randomForest</a></span><span class='op'>(</span><span class='va'>Species</span> <span class='op'>~</span> <span class='va'>.</span>, data <span class='op'>=</span> <span class='va'>iris</span>, localImp <span class='op'>=</span> <span class='cn'>TRUE</span><span class='op'>)</span>
+<span class='fu'>plot_multi_way_importance</span><span class='op'>(</span><span class='fu'><a href='measure_importance.html'>measure_importance</a></span><span class='op'>(</span><span class='va'>forest</span><span class='op'>)</span><span class='op'>)</span>
+</div><div class='img'><img src='plot_multi_way_importance-1.png' alt='' width='700' height='433' /></div><div class='input'>
 </div></pre>
   </div>
   <div class="col-md-3 hidden-xs hidden-sm" id="pkgdown-sidebar">
diff --git a/docs/reference/plot_predict_interaction-1.png b/docs/reference/plot_predict_interaction-1.png
index 0327cbe..3b57dcb 100644
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diff --git a/docs/reference/plot_predict_interaction-2.png b/docs/reference/plot_predict_interaction-2.png
index f71d52f..b22e246 100644
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diff --git a/docs/reference/plot_predict_interaction.html b/docs/reference/plot_predict_interaction.html
index 57b9dfa..4505bef 100644
--- a/docs/reference/plot_predict_interaction.html
+++ b/docs/reference/plot_predict_interaction.html
@@ -106,7 +106,7 @@
       <ul class="nav navbar-nav navbar-right">
         <li>
   <a href="../index.html">
-    <span class="fas fa fas fa-home fa-lg"></span>
+    <span class="fas fa-home fa-lg"></span>
      
   </a>
 </li>
@@ -121,7 +121,7 @@
 </li>
         <li>
   <a href="https://github.com/ModelOriented/randomForestExplainer/">
-    <span class="fab fa fab fa-github fa-lg"></span>
+    <span class="fab fa-github fa-lg"></span>
      
   </a>
 </li>
@@ -147,16 +147,16 @@ <h1>Plot the prediction of the forest for a grid of values of two numerical vari
     <p>Plot the prediction of the forest for a grid of values of two numerical variables</p>
     </div>
 
-    <pre class="usage"><span class='fu'>plot_predict_interaction</span>(
-  <span class='no'>forest</span>,
-  <span class='no'>data</span>,
-  <span class='no'>variable1</span>,
-  <span class='no'>variable2</span>,
-  <span class='kw'>grid</span> <span class='kw'>=</span> <span class='fl'>100</span>,
-  <span class='kw'>main</span> <span class='kw'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/paste.html'>paste0</a></span>(<span class='st'>"Prediction of the forest for different values of "</span>, <span class='fu'><a href='https://rdrr.io/r/base/paste.html'>paste0</a></span>(<span class='no'>variable1</span>,
-    <span class='fu'><a href='https://rdrr.io/r/base/paste.html'>paste0</a></span>(<span class='st'>" and "</span>, <span class='no'>variable2</span>))),
-  <span class='kw'>time</span> <span class='kw'>=</span> <span class='kw'>NULL</span>
-)</pre>
+    <pre class="usage"><span class='fu'>plot_predict_interaction</span><span class='op'>(</span>
+  <span class='va'>forest</span>,
+  <span class='va'>data</span>,
+  <span class='va'>variable1</span>,
+  <span class='va'>variable2</span>,
+  grid <span class='op'>=</span> <span class='fl'>100</span>,
+  main <span class='op'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/paste.html'>paste0</a></span><span class='op'>(</span><span class='st'>"Prediction of the forest for different values of "</span>, <span class='fu'><a href='https://rdrr.io/r/base/paste.html'>paste0</a></span><span class='op'>(</span><span class='va'>variable1</span>,
+    <span class='fu'><a href='https://rdrr.io/r/base/paste.html'>paste0</a></span><span class='op'>(</span><span class='st'>" and "</span>, <span class='va'>variable2</span><span class='op'>)</span><span class='op'>)</span><span class='op'>)</span>,
+  time <span class='op'>=</span> <span class='cn'>NULL</span>
+<span class='op'>)</span></pre>
 
     <h2 class="hasAnchor" id="arguments"><a class="anchor" href="#arguments"></a>Arguments</h2>
     <table class="ref-arguments">
@@ -198,9 +198,11 @@ <h2 class="hasAnchor" id="value"><a class="anchor" href="#value"></a>Value</h2>
     <p>A ggplot2 object</p>
 
     <h2 class="hasAnchor" id="examples"><a class="anchor" href="#examples"></a>Examples</h2>
-    <pre class="examples"><div class='input'><span class='no'>forest</span> <span class='kw'>&lt;-</span> <span class='kw pkg'>randomForest</span><span class='kw ns'>::</span><span class='fu'><a href='https://rdrr.io/pkg/randomForest/man/randomForest.html'>randomForest</a></span>(<span class='no'>Species</span> ~<span class='no'>.</span>, <span class='kw'>data</span> <span class='kw'>=</span> <span class='no'>iris</span>)
-<span class='fu'>plot_predict_interaction</span>(<span class='no'>forest</span>, <span class='no'>iris</span>, <span class='st'>"Petal.Width"</span>, <span class='st'>"Sepal.Width"</span>)</div><div class='img'><img src='plot_predict_interaction-1.png' alt='' width='700' height='433' /></div><div class='input'><span class='no'>forest_ranger</span> <span class='kw'>&lt;-</span> <span class='kw pkg'>ranger</span><span class='kw ns'>::</span><span class='fu'><a href='https://rdrr.io/pkg/ranger/man/ranger.html'>ranger</a></span>(<span class='no'>Species</span> ~<span class='no'>.</span>, <span class='kw'>data</span> <span class='kw'>=</span> <span class='no'>iris</span>)
-<span class='fu'>plot_predict_interaction</span>(<span class='no'>forest</span>, <span class='no'>iris</span>, <span class='st'>"Petal.Width"</span>, <span class='st'>"Sepal.Width"</span>)</div><div class='img'><img src='plot_predict_interaction-2.png' alt='' width='700' height='433' /></div><div class='input'>
+    <pre class="examples"><div class='input'><span class='va'>forest</span> <span class='op'>&lt;-</span> <span class='fu'>randomForest</span><span class='fu'>::</span><span class='fu'><a href='https://rdrr.io/pkg/randomForest/man/randomForest.html'>randomForest</a></span><span class='op'>(</span><span class='va'>Species</span> <span class='op'>~</span><span class='va'>.</span>, data <span class='op'>=</span> <span class='va'>iris</span><span class='op'>)</span>
+<span class='fu'>plot_predict_interaction</span><span class='op'>(</span><span class='va'>forest</span>, <span class='va'>iris</span>, <span class='st'>"Petal.Width"</span>, <span class='st'>"Sepal.Width"</span><span class='op'>)</span>
+</div><div class='img'><img src='plot_predict_interaction-1.png' alt='' width='700' height='433' /></div><div class='input'><span class='va'>forest_ranger</span> <span class='op'>&lt;-</span> <span class='fu'>ranger</span><span class='fu'>::</span><span class='fu'><a href='https://rdrr.io/pkg/ranger/man/ranger.html'>ranger</a></span><span class='op'>(</span><span class='va'>Species</span> <span class='op'>~</span><span class='va'>.</span>, data <span class='op'>=</span> <span class='va'>iris</span><span class='op'>)</span>
+<span class='fu'>plot_predict_interaction</span><span class='op'>(</span><span class='va'>forest</span>, <span class='va'>iris</span>, <span class='st'>"Petal.Width"</span>, <span class='st'>"Sepal.Width"</span><span class='op'>)</span>
+</div><div class='img'><img src='plot_predict_interaction-2.png' alt='' width='700' height='433' /></div><div class='input'>
 </div></pre>
   </div>
   <div class="col-md-3 hidden-xs hidden-sm" id="pkgdown-sidebar">
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