num_compare

<code>num_compare</code> gives details about the distribution of a numeric variable across subsets of the dataset

Gives a number of functions to aid common data
analysis processes and reporting statistical results in an 'RMarkdown' file.
Data analysis functions combine multiple base R functions used to describe
simple bivariate relationships into a single, easy to use function.
Reporting functions will return character strings to report p-values,
confidence intervals, and hypothesis test and regression results. Strings
will be LaTeX-formatted as necessary and will knit pretty in an 'RMarkdown'
document. The package also provides a wrapper for the CreateTableOne()
function in the 'tableone' package to make the results knit-able.

Travis Loux

tldr

T Loux Doing R: Functions to Simplify Data Analysis and
Reporting

num_compare function

<dl><dt>y</dt>
<dd>A numerical variable</dd>
<dt>grp</dt>
<dd>A categorical variable</dd>
<dt>plot</dt>
<dd>Type of plot to produce</dd></dl>

Arguments

Compare a numerical variable across levels of a categorical variable — num_compare

<dl>

<dt>y</dt>
<dd>A numerical variable</dd>


<dt>grp</dt>
<dd>A categorical variable</dd>


<dt>plot</dt>
<dd>Type of plot to produce</dd>

</dl>

num_compare: Compare a numerical variable across levels of a categorical variable

Description

Usage

Value

Arguments

Examples