mutate.tabxplor_fmt

&lt;<code><a rd-options="=dplyr_data_masking" href="/link/data-masking?package=tabxplor&version=1.1.0&to=%3Ddplyr_data_masking" data-mini-rdoc="=dplyr_data_masking::data-masking">data-masking</a></code>&gt; Name-value pairs.
The name gives the name of the column in the output (do not change it).
The value can be:<ul>
<li>A vector of length 1, which will be recycled to the correct length.</li>
<li>A vector the same length as the current group (or the whole data frame
if ungrouped).</li>
</ul>

mutate method to access vctrs::fields of tabxplor_fmt vectors

Make it easy to deal with multiple cross-tables in data
exploration, by creating them, manipulating them, and adding color
helpers to highlight important informations (differences from totals,
comparisons between lines or columns, contributions to variance, margins
of error, etc.). All functions are pipe-friendly and render data frames
which can be easily manipulated. In the same time, time-taking operations
are done with `data.table` to go faster with big dataframes. Tables can
be exported to Excel and in html with formats and colors.

Brice Nocenti

tabxplor

User-Friendly Tables with Color Helpers for Data Exploration

mutate.tabxplor_fmt function

&lt;<code><a rd-options='=dplyr_data_masking' href='data-masking'>data-masking</a></code>&gt; Name-value pairs.
The name gives the name of the column in the output (do not change it).
The value can be:<ul>
<li>A vector of length 1, which will be recycled to the correct length.</li>
<li>A vector the same length as the current group (or the whole data frame
if ungrouped).</li>
</ul>

mutate.tabxplor_fmt: mutate method to access vctrs::fields of tabxplor_fmt vectors

Description

Usage

Arguments

Value