remove_ns

Filter out non-significant (NS) p-values from a statistical
 test. Can detect automatically p-value columns

Provides a simple and intuitive pipe-friendly framework, coherent with the 'tidyverse' design philosophy,
for performing basic statistical tests, including t-test, Wilcoxon test, ANOVA, Kruskal-Wallis and correlation analyses.
The output of each test is automatically transformed into a tidy data frame to facilitate visualization.
Additional functions are available for reshaping, reordering, manipulating and visualizing correlation matrix.
Functions are also included to facilitate the analysis of factorial experiments, including purely 'within-Ss' designs
(repeated measures), purely 'between-Ss' designs, and mixed 'within-and-between-Ss' designs.
It's also possible to compute several effect size metrics, including "eta squared" for ANOVA, "Cohen's d" for t-test and
'Cramer V' for the association between categorical variables.
The package contains helper functions for identifying univariate and multivariate outliers, assessing normality and homogeneity of variances.

Alboukadel Kassambara

rstatix

Pipe-Friendly Framework for Basic Statistical Tests

remove_ns function

<dl><dt>stat.test</dt>
<dd>statistical test results returned by <code>rstatix</code>
functions or any data frame containing a p-value column.</dd>
<dt>col</dt>
<dd>(optional) character specifying the column containing the p-value
or the significance information, to be used for the filtering step.
Possible values include: <code>"p"</code>, <code>"p.adj"</code>, <code>"p.signif"</code>,
<code>"p.adj.signif"</code>. If missing, the function will automatically look for
p.adj.signif, p.adj, p.signif, p in this order.</dd>
<dt>signif.cutoff</dt>
<dd>the significance cutoff; default is 0.05. Significance
is declared at <code>p-value &lt;= signif.cutoff</code></dd></dl>

Arguments

Remove Non-Significant from Statistical Tests — remove_ns

<dl>

<dt>stat.test</dt>
<dd>statistical test results returned by <code>rstatix</code>
functions or any data frame containing a p-value column.</dd>


<dt>col</dt>
<dd>(optional) character specifying the column containing the p-value
or the significance information, to be used for the filtering step.
Possible values include: <code>"p"</code>, <code>"p.adj"</code>, <code>"p.signif"</code>,
<code>"p.adj.signif"</code>. If missing, the function will automatically look for
p.adj.signif, p.adj, p.signif, p in this order.</dd>


<dt>signif.cutoff</dt>
<dd>the significance cutoff; default is 0.05. Significance
is declared at <code>p-value &lt;= signif.cutoff</code></dd>

</dl>

remove_ns: Remove Non-Significant from Statistical Tests

Description

Usage

Value

Arguments

Examples