plot_qqmodel

This function takes a linear model (simple or mixed effects) and plots a QQ graph after running <code>rstudent</code> from <code><a href="/link/rstudent?package=grafify&version=5.0.0" data-mini-rdoc="grafify::rstudent">rstudent</a></code> to generate a table of Studentised model residuals on an ordinary (<code>simple_model</code>), mixed model (<code>mixed_model</code> or <code>mixed_model_slopes</code>. The graph plots studentised residuals from the model (sample) on Y axis &amp; Theoretical quantiles on X axis.

Easily explore data by plotting graphs with a few lines of code. Use these ggplot() wrappers to quickly draw graphs of scatter/dots with box-whiskers, violins or SD error bars, data distributions, before-after graphs, factorial ANOVA and more. Customise graphs in many ways, for example, by choosing from colour blind-friendly palettes (12 discreet, 3 continuous and 2 divergent palettes). Use the simple code for ANOVA as ordinary (lm()) or mixed-effects linear models (lmer()), including randomised-block or repeated-measures designs, and fit non-linear outcomes as a generalised additive model (gam) using mgcv(). Obtain estimated marginal means and perform post-hoc comparisons on fitted models (via emmeans()). Also includes small datasets for practising code and teaching basics before users move on to more complex designs. See vignettes for details on usage <https://grafify.shenoylab.com/>. Citation: <doi:10.5281/zenodo.5136508>.

Avinash R Shenoy

grafify

Easy Graphs for Data Visualisation and Linear Models for ANOVA

plot_qqmodel function

<dl><dt>Model</dt>
<dd>name of a saved model generated by <code>simple_model</code> or <code>mixed_model</code>.</dd>
<dt>symsize</dt>
<dd>size of symbols, default set to 3.</dd>
<dt>s_alpha</dt>
<dd>fractional opacity of symbols, default set to 0.8 (i.e., 80% opacity).</dd>
<dt>fontsize</dt>
<dd>parameter of <code>base_size</code> of fonts in <code><a href="https://ggplot2.tidyverse.org/reference/ggtheme.html">theme_classic</a></code>, default set to size 20.</dd>
<dt>symthick</dt>
<dd>thickness of symbol border, default set to <code>fontsize</code>/22.</dd>
<dt>linethick</dt>
<dd>thickness of line, default set to <code>fontsize</code>/22.</dd>
<dt>SingleColour</dt>
<dd>colour of symbols (default = <code>#E69F00</code>, which is <code>ok_orange</code>)</dd></dl>

Arguments

This function takes a linear model (simple or mixed effects) and plots a QQ graph after running <code>rstudent</code> from <code><a href='https://rdrr.io/r/stats/influence.measures.html'>rstudent</a></code> to generate a table of Studentised model residuals on an ordinary (<code>simple_model</code>), mixed model (<code>mixed_model</code> or <code>mixed_model_slopes</code>. The graph plots studentised residuals from the model (sample) on Y axis &amp; Theoretical quantiles on X axis.

Plot quantile-quantile (QQ) graphs from residuals of linear models. — plot_qqmodel

<dl>

<dt>Model</dt>
<dd>name of a saved model generated by <code>simple_model</code> or <code>mixed_model</code>.</dd>


<dt>symsize</dt>
<dd>size of symbols, default set to 3.</dd>


<dt>s_alpha</dt>
<dd>fractional opacity of symbols, default set to 0.8 (i.e., 80% opacity).</dd>


<dt>fontsize</dt>
<dd>parameter of <code>base_size</code> of fonts in <code><a href='https://ggplot2.tidyverse.org/reference/ggtheme.html'>theme_classic</a></code>, default set to size 20.</dd>


<dt>symthick</dt>
<dd>thickness of symbol border, default set to <code>fontsize</code>/22.</dd>


<dt>linethick</dt>
<dd>thickness of line, default set to <code>fontsize</code>/22.</dd>


<dt>SingleColour</dt>
<dd>colour of symbols (default = <code>#E69F00</code>, which is <code>ok_orange</code>)</dd>

</dl>

plot_qqmodel: Plot quantile-quantile (QQ) graphs from residuals of linear models.

Description

Usage

Value

Arguments

Details

Examples