freq_table

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

freq_table function

<dl><dt>data</dt>
<dd>a data frame</dd>
<dt>...</dt>
<dd>One or more unquoted expressions (or variable names) separated by
commas. Used to specify variables of interest.</dd>
<dt>vars</dt>
<dd>optional character vector containing variable names.</dd>
<dt>na.rm</dt>
<dd>logical value. If TRUE (default), remove missing values in the
variables used to create the frequency table.</dd></dl>

Arguments

Compute Frequency Table — freq_table

<dl>

<dt>data</dt>
<dd>a data frame</dd>


<dt>...</dt>
<dd>One or more unquoted expressions (or variable names) separated by
commas. Used to specify variables of interest.</dd>


<dt>vars</dt>
<dd>optional character vector containing variable names.</dd>


<dt>na.rm</dt>
<dd>logical value. If TRUE (default), remove missing values in the
variables used to create the frequency table.</dd>

</dl>

freq_table: Compute Frequency Table

Description

Usage

Value

Arguments

Examples