grouped_list

This function splits the data frame into a list, with the length of the list
equal to the factor levels of the grouping variable. Each element of the list
will be a tibble.

internal

Extension of 'ggplot2', 'ggstatsplot' creates graphics with
details from statistical tests included in the plots themselves. It
provides an easier syntax to generate information-rich plots for
statistical analysis of continuous (violin plots, scatterplots,
histograms, dot plots, dot-and-whisker plots) or categorical (pie and
bar charts) data. Currently, it supports the most common types of
statistical approaches and tests: parametric, nonparametric, robust,
and Bayesian versions of t-test/ANOVA, correlation analyses,
contingency table analysis, meta-analysis, and regression analyses.

Indrajeet Patil

ggstatsplot

'ggplot2' Based Plots with Statistical Details

grouped_list function

<dl><dt>data</dt>
<dd>A data frame (or a tibble) from which variables specified are to
be taken. Other data types (e.g., matrix,table, array, etc.) will not
be accepted. Additionally, grouped data frames from <code>{dplyr}</code> should be
ungrouped before they are entered as <code>data</code>.</dd>
<dt>grouping.var</dt>
<dd>A single grouping variable.</dd></dl>

Arguments

Split dataframe into a list by grouping variable. — grouped_list

<dl>

<dt>data</dt>
<dd>A data frame (or a tibble) from which variables specified are to
be taken. Other data types (e.g., matrix,table, array, etc.) will not
be accepted. Additionally, grouped data frames from <code>{dplyr}</code> should be
ungrouped before they are entered as <code>data</code>.</dd>


<dt>grouping.var</dt>
<dd>A single grouping variable.</dd>

</dl>

grouped_list: Split dataframe into a list by grouping variable.

Description

Usage

Arguments

Examples