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<!DOCTYPE html>
<html>
<head>
<title>Data slicing</title>
<meta charset="utf-8">
<meta name="description" content="Data slicing">
<meta name="author" content="Jeffrey Leek">
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<hgroup class="auto-fadein">
<h1>Data slicing</h1>
<h2></h2>
<p>Jeffrey Leek<br/>Johns Hopkins Bloomberg School of Public Health</p>
</hgroup>
</slide>
<!-- SLIDES -->
<slide class="" id="slide-1" style="background:;">
<hgroup>
<h2>SPAM Example: Data splitting</h2>
</hgroup>
<article>
<pre><code class="r">library(caret); library(kernlab); data(spam)
inTrain <- createDataPartition(y=spam$type,
p=0.75, list=FALSE)
training <- spam[inTrain,]
testing <- spam[-inTrain,]
dim(training)
</code></pre>
<pre><code>[1] 3451 58
</code></pre>
</article>
<!-- Presenter Notes -->
</slide>
<slide class="" id="slide-2" style="background:;">
<hgroup>
<h2>SPAM Example: K-fold</h2>
</hgroup>
<article>
<pre><code class="r">set.seed(32323)
folds <- createFolds(y=spam$type,k=10,
list=TRUE,returnTrain=TRUE)
sapply(folds,length)
</code></pre>
<pre><code>Fold01 Fold02 Fold03 Fold04 Fold05 Fold06 Fold07 Fold08 Fold09 Fold10
4141 4140 4141 4142 4140 4142 4141 4141 4140 4141
</code></pre>
<pre><code class="r">folds[[1]][1:10]
</code></pre>
<pre><code> [1] 1 2 3 4 5 6 7 8 9 10
</code></pre>
</article>
<!-- Presenter Notes -->
</slide>
<slide class="" id="slide-3" style="background:;">
<hgroup>
<h2>SPAM Example: Return test</h2>
</hgroup>
<article>
<pre><code class="r">set.seed(32323)
folds <- createFolds(y=spam$type,k=10,
list=TRUE,returnTrain=FALSE)
sapply(folds,length)
</code></pre>
<pre><code>Fold01 Fold02 Fold03 Fold04 Fold05 Fold06 Fold07 Fold08 Fold09 Fold10
460 461 460 459 461 459 460 460 461 460
</code></pre>
<pre><code class="r">folds[[1]][1:10]
</code></pre>
<pre><code> [1] 24 27 32 40 41 43 55 58 63 68
</code></pre>
</article>
<!-- Presenter Notes -->
</slide>
<slide class="" id="slide-4" style="background:;">
<hgroup>
<h2>SPAM Example: Resampling</h2>
</hgroup>
<article>
<pre><code class="r">set.seed(32323)
folds <- createResample(y=spam$type,times=10,
list=TRUE)
sapply(folds,length)
</code></pre>
<pre><code>Resample01 Resample02 Resample03 Resample04 Resample05 Resample06 Resample07 Resample08 Resample09
4601 4601 4601 4601 4601 4601 4601 4601 4601
Resample10
4601
</code></pre>
<pre><code class="r">folds[[1]][1:10]
</code></pre>
<pre><code> [1] 1 2 3 3 3 5 5 7 8 12
</code></pre>
</article>
<!-- Presenter Notes -->
</slide>
<slide class="" id="slide-5" style="background:;">
<hgroup>
<h2>SPAM Example: Time Slices</h2>
</hgroup>
<article>
<pre><code class="r">set.seed(32323)
tme <- 1:1000
folds <- createTimeSlices(y=tme,initialWindow=20,
horizon=10)
names(folds)
</code></pre>
<pre><code>[1] "train" "test"
</code></pre>
<pre><code class="r">folds$train[[1]]
</code></pre>
<pre><code> [1] 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20
</code></pre>
<pre><code class="r">folds$test[[1]]
</code></pre>
<pre><code> [1] 21 22 23 24 25 26 27 28 29 30
</code></pre>
</article>
<!-- Presenter Notes -->
</slide>
<slide class="" id="slide-6" style="background:;">
<hgroup>
<h2>Further information</h2>
</hgroup>
<article>
<ul>
<li>Caret tutorials:
<ul>
<li><a href="http://www.edii.uclm.es/%7EuseR-2013/Tutorials/kuhn/user_caret_2up.pdf">http://www.edii.uclm.es/~useR-2013/Tutorials/kuhn/user_caret_2up.pdf</a></li>
<li><a href="http://cran.r-project.org/web/packages/caret/vignettes/caret.pdf">http://cran.r-project.org/web/packages/caret/vignettes/caret.pdf</a></li>
</ul></li>
<li>A paper introducing the caret package
<ul>
<li><a href="http://www.jstatsoft.org/v28/i05/paper">http://www.jstatsoft.org/v28/i05/paper</a></li>
</ul></li>
</ul>
</article>
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