plot.f_bestNormalize

Plots diagnostics for an object of class <code>f_bestNormalize</code>.

Designed to streamline data analysis and statistical testing, reducing the length of R
scripts while generating well-formatted outputs in 'pdf', 'Microsoft Word', and 'Microsoft Excel'
formats. In essence, the package contains functions which are sophisticated wrappers around
existing R functions that are called by using 'f_' (user f_riendly) prefix followed by the normal
function name. This first version of the 'rfriend' package focuses  primarily on data exploration,
including tools for creating summary tables, f_summary(), performing data transformations,
f_boxcox() in part based on 'MASS/boxcox' and 'rcompanion', and f_bestNormalize()
which wraps and extends functionality from the 'bestNormalize' package. Furthermore, 'rfriend'
can automatically (or on request) generate visualizations such as boxplots, f_boxplot(),
QQ-plots, f_qqnorm(), histograms f_hist(), and density plots. Additionally, the package includes
four statistical test functions: f_aov(), f_kruskal_test(), f_glm(), f_chisq_test for sequential
testing and visualisation of the 'stats' functions: aov(), kruskal.test(), glm() and chisq.test.
These functions support testing multiple response variables and predictors, while also handling
assumption checks, data transformations, and post hoc tests. Post hoc results are automatically
summarized in a table using the compact letter display (cld) format for easy interpretation. The
package also provides a function to do model comparison, f_model_comparison(), and several
utility functions to simplify common R tasks. For example, f_clear() clears the workspace and
restarts R with a single command; f_setwd() sets the working directory to match the directory
of the current script; f_theme() quickly changes 'RStudio' themes; and f_factors() converts
multiple columns of a data frame to factors, and much more. If you encounter any issues or have
feature requests, please feel free to contact me via email.

Sander H. van Delden

rfriend

Provides Batch Functions and Visualisation for Basic Statistical
Procedures

plot.f_bestNormalize function

<dl><dt>x</dt>
<dd>An object of class <code>f_bestNormalize</code>.</dd>
<dt>which</dt>
<dd>Integer determining which graph to plot. Default is <code>1:2</code>.</dd>
<dt>ask</dt>
<dd>Logical. <code>TRUE</code> waits with plotting each graph until &lt;Return&gt; is pressed. Default is <code>FALSE</code>.</dd>
<dt>...</dt>
<dd>Further arguments passed to or from other methods.</dd></dl>

Arguments

Plot an f_bestNormalize object — plot.f_bestNormalize

<dl>

<dt>x</dt>
<dd>An object of class <code>f_bestNormalize</code>.</dd>


<dt>which</dt>
<dd>Integer determining which graph to plot. Default is <code>1:2</code>.</dd>


<dt>ask</dt>
<dd>Logical. <code>TRUE</code> waits with plotting each graph until &lt;Return&gt; is pressed. Default is <code>FALSE</code>.</dd>


<dt>...</dt>
<dd>Further arguments passed to or from other methods.</dd>

</dl>

plot.f_bestNormalize: Plot an f_bestNormalize object

Description

Usage

Value

Arguments

Details