Speed up calculate_tree_depth() (#35)

R/min_depth_distribution.R

@@ -4,13 +4,12 @@ calculate_tree_depth <- function(frame){
     stop("The data frame has to contain columns called 'right daughter' and 'left daughter'!
           It should be a product of the function getTree(..., labelVar = T).")
   }
-  frame$depth <- NA
-  frame$depth[1] <- 0
-  for(i in 2:nrow(frame)){
-    frame[i, "depth"] <-
-      frame[frame[, "left daughter"] == as.numeric(rownames(frame[i,])) |
-            frame[, "right daughter"] == as.numeric(rownames(frame[i,])), "depth"] + 1
-  }
+  # Both child values of leaf nodes are 0, i.e., lower than min(node_id)
+  frame[["depth"]] <- calculate_tree_depth_(
+    node_id = seq_len(nrow(frame)),
+    left_child = frame[["left daughter"]],
+    right_child = frame[["right daughter"]]
+  )
   return(frame)
 }
 
@@ -20,16 +19,25 @@ calculate_tree_depth_ranger <- function(frame){
     stop("The data frame has to contain columns called 'rightChild' and 'leftChild'!
          It should be a product of the function ranger::treeInfo().")
   }
-  frame$depth <- NA
-  frame$depth[1] <- 0
-  for(i in 2:nrow(frame)){
-    frame[i, "depth"] <-
-      frame[(!is.na(frame[, "leftChild"]) & frame[, "leftChild"] == frame[i, "nodeID"]) |
-              (!is.na(frame[, "rightChild"]) & frame[, "rightChild"] == frame[i, "nodeID"]), "depth"] + 1
-  }
+  frame[["depth"]] <- calculate_tree_depth_(
+    node_id = frame[["nodeID"]],
+    left_child = frame[["leftChild"]],
+    right_child = frame[["rightChild"]]
+  )
   return(frame)
 }
 
+# Internal function used to determine the depth of each node
+calculate_tree_depth_ <- function(node_id, left_child, right_child) {
+  n <- length(node_id)
+  depth <- numeric(n)
+  for (i in 2:n) {
+    parent_node <- left_child %in% node_id[i] | right_child %in% node_id[i]
+    depth[i] <- depth[parent_node] + 1
+  }
+  return(depth)
+}
+
 #' Calculate minimal depth distribution of a random forest
 #'
 #' Get minimal depth values for all trees in a random forest