ggcoefstats_label_maker

tidy_df

A tidy model summary dataframe (default: <code>NULL</code>). If
provided, this dataframe will be used to write <code>caption</code> for the final
plot.

glance_df

Which statistic is to be displayed (either <code>"t"</code> or <code>"f"</code>or
<code>"z"</code>) in the label. This is especially important if the <code>x</code> argument in
<code>ggcoefstats</code> is a dataframe in which case the function wouldn't know what
kind of model it is dealing with.

statistic

Number of decimal places expected for results displayed in labels
(Default : <code>k = 2</code>).

Character describing the effect size to be displayed: <code>"eta"</code>
(default) or <code>"omega"</code>. This argument is relevant
only for models objects of class <code>aov</code>, <code>anova</code>, and <code>aovlist</code>.

effsize

Logical that decides if partial eta-squared or omega-squared
are returned (Default: <code>TRUE</code>). If <code>FALSE</code>, eta-squared or omega-squared
will be returned. Valid only for objects of class <code>aov</code>, <code>anova</code>, or
<code>aovlist</code>.

partial

Create labels with statistical details for <code>ggcoefstats</code>

internal

Extension of 'ggplot2', 'ggstatsplot' creates
graphics with details from statistical tests included in the plots
themselves. It is targeted primarily at behavioral sciences community
to provide a one-line code 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 only the most common types of
statistical tests: parametric, nonparametric, robust, and bayesian
versions of t-test/anova, correlation analyses, contingency table
analysis, meta-analysis, and regression analyses.

ggcoefstats_label_maker: Create labels with statistical details for `ggcoefstats`

Description

Usage

Arguments