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<h1 class="title">trend_test</h1>
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<section id="word-embedding-유사도-시계열-검정" class="level2">
<h2 class="anchored" data-anchor-id="word-embedding-유사도-시계열-검정">Word Embedding 유사도 시계열 검정</h2>
<div class="cell">
<div class="sourceCode cell-code" id="cb1"><pre class="sourceCode r code-with-copy"><code class="sourceCode r"><span id="cb1-1"><a href="#cb1-1" aria-hidden="true" tabindex="-1"></a><span class="fu">library</span>(tidyverse)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
<div class="cell-output cell-output-stderr">
<pre><code>── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ──
✔ dplyr 1.1.2 ✔ readr 2.1.4
✔ forcats 1.0.0 ✔ stringr 1.5.0
✔ ggplot2 3.4.2 ✔ tibble 3.2.1
✔ lubridate 1.9.2 ✔ tidyr 1.3.0
✔ purrr 1.0.1
── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──
✖ dplyr::filter() masks stats::filter()
✖ dplyr::lag() masks stats::lag()
ℹ Use the conflicted package (<http://conflicted.r-lib.org/>) to force all conflicts to become errors</code></pre>
</div>
<div class="sourceCode cell-code" id="cb3"><pre class="sourceCode r code-with-copy"><code class="sourceCode r"><span id="cb3-1"><a href="#cb3-1" aria-hidden="true" tabindex="-1"></a><span class="fu">library</span>(trend)</span>
<span id="cb3-2"><a href="#cb3-2" aria-hidden="true" tabindex="-1"></a><span class="fu">library</span>(readxl)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
</div>
<div class="cell">
<div class="sourceCode cell-code" id="cb4"><pre class="sourceCode r code-with-copy"><code class="sourceCode r"><span id="cb4-1"><a href="#cb4-1" aria-hidden="true" tabindex="-1"></a>df <span class="ot"><-</span> <span class="fu">read_xlsx</span>(<span class="st">'./data/연도별_민족_국민_국가.xlsx'</span>)</span>
<span id="cb4-2"><a href="#cb4-2" aria-hidden="true" tabindex="-1"></a>df</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
<div class="cell-output cell-output-stdout">
<pre><code># A tibble: 21 × 4
연도 `민족-국가` `국민-국가` `민족-국민`
<dbl> <dbl> <dbl> <dbl>
1 1920 0.719 0.785 0.726
2 1921 0.706 0.774 0.716
3 1922 0.721 0.786 0.729
4 1923 0.723 0.786 0.717
5 1924 0.744 0.792 0.732
6 1925 0.753 0.799 0.739
7 1926 0.734 0.796 0.717
8 1927 0.729 0.779 0.680
9 1928 0.727 0.758 0.651
10 1929 0.727 0.757 0.631
# ℹ 11 more rows</code></pre>
</div>
</div>
<p>민족 - 국가</p>
<div class="cell">
<div class="sourceCode cell-code" id="cb6"><pre class="sourceCode r code-with-copy"><code class="sourceCode r"><span id="cb6-1"><a href="#cb6-1" aria-hidden="true" tabindex="-1"></a><span class="co"># MK 검정 결과 경향성 없음 (귀무가설 채택)</span></span>
<span id="cb6-2"><a href="#cb6-2" aria-hidden="true" tabindex="-1"></a><span class="fu">mk.test</span>(df<span class="sc">$</span><span class="st">`</span><span class="at">민족-국가</span><span class="st">`</span>)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
<div class="cell-output cell-output-stdout">
<pre><code>
Mann-Kendall trend test
data: df$`민족-국가`
z = 1.842, n = 21, p-value = 0.06547
alternative hypothesis: true S is not equal to 0
sample estimates:
S varS tau
62.0000000 1096.6666667 0.2952381 </code></pre>
</div>
</div>
<p>국민 - 국가</p>
<div class="cell">
<div class="sourceCode cell-code" id="cb8"><pre class="sourceCode r code-with-copy"><code class="sourceCode r"><span id="cb8-1"><a href="#cb8-1" aria-hidden="true" tabindex="-1"></a><span class="co"># z(검정통계량) 음수 이므로 하강하는 경향이 있음***</span></span>
<span id="cb8-2"><a href="#cb8-2" aria-hidden="true" tabindex="-1"></a><span class="fu">mk.test</span>(df<span class="sc">$</span><span class="st">`</span><span class="at">국민-국가</span><span class="st">`</span>) </span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
<div class="cell-output cell-output-stdout">
<pre><code>
Mann-Kendall trend test
data: df$`국민-국가`
z = -4.6201, n = 21, p-value = 3.835e-06
alternative hypothesis: true S is not equal to 0
sample estimates:
S varS tau
-154.0000000 1096.6666667 -0.7333333 </code></pre>
</div>
</div>
<div class="cell">
<div class="sourceCode cell-code" id="cb10"><pre class="sourceCode r code-with-copy"><code class="sourceCode r"><span id="cb10-1"><a href="#cb10-1" aria-hidden="true" tabindex="-1"></a><span class="co"># 변동점 탐색</span></span>
<span id="cb10-2"><a href="#cb10-2" aria-hidden="true" tabindex="-1"></a><span class="fu">pettitt.test</span>(df<span class="sc">$</span><span class="st">`</span><span class="at">국민-국가</span><span class="st">`</span>)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
<div class="cell-output cell-output-stdout">
<pre><code>
Pettitt's test for single change-point detection
data: df$`국민-국가`
U* = 110, p-value = 0.001125
alternative hypothesis: two.sided
sample estimates:
probable change point at time K
10 </code></pre>
</div>
<div class="sourceCode cell-code" id="cb12"><pre class="sourceCode r code-with-copy"><code class="sourceCode r"><span id="cb12-1"><a href="#cb12-1" aria-hidden="true" tabindex="-1"></a>df<span class="sc">$</span>연도[<span class="fu">pettitt.test</span>(df<span class="sc">$</span><span class="st">`</span><span class="at">국민-국가</span><span class="st">`</span>)<span class="sc">$</span>estimate]</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
<div class="cell-output cell-output-stdout">
<pre><code>[1] 1929</code></pre>
</div>
</div>
<div class="cell">
<div class="sourceCode cell-code" id="cb14"><pre class="sourceCode r code-with-copy"><code class="sourceCode r"><span id="cb14-1"><a href="#cb14-1" aria-hidden="true" tabindex="-1"></a><span class="fu">sens.slope</span>(df<span class="sc">$</span><span class="st">`</span><span class="at">국민-국가</span><span class="st">`</span>[<span class="dv">1</span><span class="sc">:</span><span class="dv">10-1</span>])</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
<div class="cell-output cell-output-stdout">
<pre><code>
Sen's slope
data: df$`국민-국가`[1:10 - 1]
z = 0.10426, n = 9, p-value = 0.917
alternative hypothesis: true z is not equal to 0
95 percent confidence interval:
-0.004666915 0.004287481
sample estimates:
Sen's slope
0.0007051329 </code></pre>
</div>
</div>
<div class="cell">
<div class="sourceCode cell-code" id="cb16"><pre class="sourceCode r code-with-copy"><code class="sourceCode r"><span id="cb16-1"><a href="#cb16-1" aria-hidden="true" tabindex="-1"></a><span class="fu">sens.slope</span>(df<span class="sc">$</span><span class="st">`</span><span class="at">국민-국가</span><span class="st">`</span>[<span class="dv">11</span><span class="sc">:</span><span class="dv">21</span>])</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
<div class="cell-output cell-output-stdout">
<pre><code>
Sen's slope
data: df$`국민-국가`[11:21]
z = -2.8026, n = 11, p-value = 0.005069
alternative hypothesis: true z is not equal to 0
95 percent confidence interval:
-0.007332474 -0.001015445
sample estimates:
Sen's slope
-0.003911376 </code></pre>
</div>
</div>
<p>민족-국민</p>
<div class="cell">
<div class="sourceCode cell-code" id="cb18"><pre class="sourceCode r code-with-copy"><code class="sourceCode r"><span id="cb18-1"><a href="#cb18-1" aria-hidden="true" tabindex="-1"></a><span class="co"># z(검정통계량) 음수 이므로 하강하는 경향이 있음**</span></span>
<span id="cb18-2"><a href="#cb18-2" aria-hidden="true" tabindex="-1"></a><span class="fu">mk.test</span>(df<span class="sc">$</span><span class="st">`</span><span class="at">민족-국민</span><span class="st">`</span>)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
<div class="cell-output cell-output-stdout">
<pre><code>
Mann-Kendall trend test
data: df$`민족-국민`
z = -2.9895, n = 21, p-value = 0.002794
alternative hypothesis: true S is not equal to 0
sample estimates:
S varS tau
-100.0000000 1096.6666667 -0.4761905 </code></pre>
</div>
</div>
<div class="cell">
<div class="sourceCode cell-code" id="cb20"><pre class="sourceCode r code-with-copy"><code class="sourceCode r"><span id="cb20-1"><a href="#cb20-1" aria-hidden="true" tabindex="-1"></a><span class="co"># 변동점 탐색</span></span>
<span id="cb20-2"><a href="#cb20-2" aria-hidden="true" tabindex="-1"></a><span class="fu">pettitt.test</span>(df<span class="sc">$</span><span class="st">`</span><span class="at">민족-국민</span><span class="st">`</span>)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
<div class="cell-output cell-output-stdout">
<pre><code>
Pettitt's test for single change-point detection
data: df$`민족-국민`
U* = 104, p-value = 0.002489
alternative hypothesis: two.sided
sample estimates:
probable change point at time K
8 </code></pre>
</div>
<div class="sourceCode cell-code" id="cb22"><pre class="sourceCode r code-with-copy"><code class="sourceCode r"><span id="cb22-1"><a href="#cb22-1" aria-hidden="true" tabindex="-1"></a>df<span class="sc">$</span>연도[<span class="fu">pettitt.test</span>(df<span class="sc">$</span><span class="st">`</span><span class="at">민족-국민</span><span class="st">`</span>)<span class="sc">$</span>estimate]</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
<div class="cell-output cell-output-stdout">
<pre><code>[1] 1927</code></pre>
</div>
</div>
<div class="cell">
<div class="sourceCode cell-code" id="cb24"><pre class="sourceCode r code-with-copy"><code class="sourceCode r"><span id="cb24-1"><a href="#cb24-1" aria-hidden="true" tabindex="-1"></a><span class="fu">sens.slope</span>(df<span class="sc">$</span><span class="st">`</span><span class="at">민족-국민</span><span class="st">`</span>[<span class="dv">1</span><span class="sc">:</span><span class="dv">7</span>])</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
<div class="cell-output cell-output-stdout">
<pre><code>
Sen's slope
data: df$`민족-국민`[1:7]
z = 0.60075, n = 7, p-value = 0.548
alternative hypothesis: true z is not equal to 0
95 percent confidence interval:
-0.007419139 0.007110953
sample estimates:
Sen's slope
0.001456141 </code></pre>
</div>
</div>
<div class="cell">
<div class="sourceCode cell-code" id="cb26"><pre class="sourceCode r code-with-copy"><code class="sourceCode r"><span id="cb26-1"><a href="#cb26-1" aria-hidden="true" tabindex="-1"></a><span class="fu">sens.slope</span>(df<span class="sc">$</span><span class="st">`</span><span class="at">민족-국민</span><span class="st">`</span>[<span class="dv">9</span><span class="sc">:</span><span class="dv">21</span>])</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
<div class="cell-output cell-output-stdout">
<pre><code>
Sen's slope
data: df$`민족-국민`[9:21]
z = 0.30504, n = 13, p-value = 0.7603
alternative hypothesis: true z is not equal to 0
95 percent confidence interval:
-0.003072659 0.002546973
sample estimates:
Sen's slope
0.0003242262 </code></pre>
</div>
</div>
</section>
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bodyEl.classList.add("quarto-light");
bodyEl.classList.remove("quarto-dark");
}
}
const toggleBodyColorPrimary = () => {
const bsSheetEl = window.document.querySelector("link#quarto-bootstrap");
if (bsSheetEl) {
toggleBodyColorMode(bsSheetEl);
}
}
toggleBodyColorPrimary();
const icon = "";
const anchorJS = new window.AnchorJS();
anchorJS.options = {
placement: 'right',
icon: icon
};
anchorJS.add('.anchored');
const clipboard = new window.ClipboardJS('.code-copy-button', {
target: function(trigger) {
return trigger.previousElementSibling;
}
});
clipboard.on('success', function(e) {
// button target
const button = e.trigger;
// don't keep focus
button.blur();
// flash "checked"
button.classList.add('code-copy-button-checked');
var currentTitle = button.getAttribute("title");
button.setAttribute("title", "Copied!");
let tooltip;
if (window.bootstrap) {
button.setAttribute("data-bs-toggle", "tooltip");
button.setAttribute("data-bs-placement", "left");
button.setAttribute("data-bs-title", "Copied!");
tooltip = new bootstrap.Tooltip(button,
{ trigger: "manual",
customClass: "code-copy-button-tooltip",
offset: [0, -8]});
tooltip.show();
}
setTimeout(function() {
if (tooltip) {
tooltip.hide();
button.removeAttribute("data-bs-title");
button.removeAttribute("data-bs-toggle");
button.removeAttribute("data-bs-placement");
}
button.setAttribute("title", currentTitle);
button.classList.remove('code-copy-button-checked');
}, 1000);
// clear code selection
e.clearSelection();
});
function tippyHover(el, contentFn) {
const config = {
allowHTML: true,
content: contentFn,
maxWidth: 500,
delay: 100,
arrow: false,
appendTo: function(el) {
return el.parentElement;
},
interactive: true,
interactiveBorder: 10,
theme: 'quarto',
placement: 'bottom-start'
};
window.tippy(el, config);
}
const noterefs = window.document.querySelectorAll('a[role="doc-noteref"]');
for (var i=0; i<noterefs.length; i++) {
const ref = noterefs[i];
tippyHover(ref, function() {
// use id or data attribute instead here
let href = ref.getAttribute('data-footnote-href') || ref.getAttribute('href');
try { href = new URL(href).hash; } catch {}
const id = href.replace(/^#\/?/, "");
const note = window.document.getElementById(id);
return note.innerHTML;
});
}
const findCites = (el) => {
const parentEl = el.parentElement;
if (parentEl) {
const cites = parentEl.dataset.cites;
if (cites) {
return {
el,
cites: cites.split(' ')
};
} else {
return findCites(el.parentElement)
}
} else {
return undefined;
}
};
var bibliorefs = window.document.querySelectorAll('a[role="doc-biblioref"]');
for (var i=0; i<bibliorefs.length; i++) {
const ref = bibliorefs[i];
const citeInfo = findCites(ref);
if (citeInfo) {
tippyHover(citeInfo.el, function() {
var popup = window.document.createElement('div');
citeInfo.cites.forEach(function(cite) {
var citeDiv = window.document.createElement('div');
citeDiv.classList.add('hanging-indent');
citeDiv.classList.add('csl-entry');
var biblioDiv = window.document.getElementById('ref-' + cite);
if (biblioDiv) {
citeDiv.innerHTML = biblioDiv.innerHTML;
}
popup.appendChild(citeDiv);
});
return popup.innerHTML;
});
}
}
});
</script>
</div> <!-- /content -->
</body></html>