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<title>P-Value Test Per BodySite (Ultralow against the world!)</title>
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<h1>P-Value Test Per BodySite (Ultralow against the world!)</h1>
<p>#reading from table file</p>
<h2>skin</h2>
<p>generating variables per Preservation Method: </p>
<pre><code class="r">skin_ultralow = parse_vector(skin, 1)
skin_nitrogen = parse_vector(skin, 2)
skin_Phen_CL = parse_vector(skin, 3)
skin_Fresh = parse_vector(skin, 4)
</code></pre>
<p>Normality Test with Shapiro-Wilk Test :</p>
<pre><code>##
## Shapiro-Wilk normality test
##
## data: skin_ultralow
## W = 0.9117, p-value = 0.4779
</code></pre>
<pre><code>##
## Shapiro-Wilk normality test
##
## data: skin_nitrogen
## W = 0.8899, p-value = 0.3567
</code></pre>
<pre><code>##
## Shapiro-Wilk normality test
##
## data: skin_Phen_CL
## W = 0.6131, p-value = 0.0009319
</code></pre>
<pre><code>##
## Shapiro-Wilk normality test
##
## data: skin_Fresh
## W = 0.8023, p-value = 0.08458
</code></pre>
<h2>Testing difference significance using Kolmogorov-Smirnov & Wilcoxon Test : </h2>
<pre><code class="r">ks.test(skin_ultralow, skin_nitrogen)
</code></pre>
<pre><code>##
## Two-sample Kolmogorov-Smirnov test
##
## data: skin_ultralow and skin_nitrogen
## D = 0.4, p-value = 0.873
## alternative hypothesis: two-sided
</code></pre>
<pre><code class="r">wilcox.test(skin_ultralow, skin_nitrogen)
</code></pre>
<pre><code>##
## Wilcoxon rank sum test
##
## data: skin_ultralow and skin_nitrogen
## W = 9, p-value = 0.5476
## alternative hypothesis: true location shift is not equal to 0
</code></pre>
<pre><code class="r">wilcox.test(skin_ultralow, skin_nitrogen, paired = T)
</code></pre>
<pre><code>##
## Wilcoxon signed rank test
##
## data: skin_ultralow and skin_nitrogen
## V = 4, p-value = 0.4375
## alternative hypothesis: true location shift is not equal to 0
</code></pre>
<pre><code class="r">
ks.test(skin_ultralow, skin_Phen_CL)
</code></pre>
<pre><code>##
## Two-sample Kolmogorov-Smirnov test
##
## data: skin_ultralow and skin_Phen_CL
## D = 0.8, p-value = 0.07937
## alternative hypothesis: two-sided
</code></pre>
<pre><code class="r">wilcox.test(skin_ultralow, skin_Phen_CL)
</code></pre>
<pre><code>##
## Wilcoxon rank sum test
##
## data: skin_ultralow and skin_Phen_CL
## W = 21, p-value = 0.09524
## alternative hypothesis: true location shift is not equal to 0
</code></pre>
<pre><code class="r">wilcox.test(skin_ultralow, skin_Phen_CL, paired = T)
</code></pre>
<pre><code>##
## Wilcoxon signed rank test
##
## data: skin_ultralow and skin_Phen_CL
## V = 15, p-value = 0.0625
## alternative hypothesis: true location shift is not equal to 0
</code></pre>
<pre><code class="r">
ks.test(skin_ultralow, skin_Fresh)
</code></pre>
<pre><code>##
## Two-sample Kolmogorov-Smirnov test
##
## data: skin_ultralow and skin_Fresh
## D = 0.4, p-value = 0.873
## alternative hypothesis: two-sided
</code></pre>
<pre><code class="r">wilcox.test(skin_ultralow, skin_Fresh)
</code></pre>
<pre><code>##
## Wilcoxon rank sum test
##
## data: skin_ultralow and skin_Fresh
## W = 13, p-value = 1
## alternative hypothesis: true location shift is not equal to 0
</code></pre>
<pre><code class="r">wilcox.test(skin_ultralow, skin_Fresh, paired = T)
</code></pre>
<pre><code>##
## Wilcoxon signed rank test
##
## data: skin_ultralow and skin_Fresh
## V = 7, p-value = 1
## alternative hypothesis: true location shift is not equal to 0
</code></pre>
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