extract_labels

Extract the label attribute from data

Provides functions to create descriptive statistics tables for continuous and categorical variables.
By default, summary statistics such as mean, standard deviation, quantiles, minimum and maximum for continuous
variables and relative and absolute frequencies for categorical variables are calculated. 'DescrTab2' features a sophisticated algorithm to
choose appropriate test statistics for your data and provides p-values. On top of this, confidence intervals for group
differences of appropriated summary measures are automatically produces for two-group comparison.
Tables generated by 'DescrTab2' can be integrated in a variety of document formats, including .html, .tex and .docx documents.
'DescrTab2' also allows printing tables to console and saving table objects for later use.

Jan Meis

DescrTab2

Publication Quality Descriptive Statistics Tables

Lukas Baumann

Maximilian Pilz

Lukas Sauer

Lorenz Uhlmann

Csilla van Lunteren

extract_labels function

<dl><dt>dat</dt>
<dd>data in the form of a <code><a href="/link/list?package=DescrTab2&version=2.1.16" data-mini-rdoc="DescrTab2::list">list</a></code>, <code><a href="/link/data.frame?package=DescrTab2&version=2.1.16" data-mini-rdoc="DescrTab2::data.frame">data.frame</a></code>
or <code><a href="https://tibble.tidyverse.org/reference/tibble.html">tibble</a></code>, or a vector</dd></dl>

Arguments

Extract the label attribute from data — extract_labels

<dl>

<dt>dat</dt>
<dd>data in the form of a <code><a href='https://rdrr.io/r/base/list.html'>list</a></code>, <code><a href='https://rdrr.io/r/base/data.frame.html'>data.frame</a></code>
or <code><a href='https://tibble.tidyverse.org/reference/tibble.html'>tibble</a></code>, or a vector</dd>

</dl>

extract_labels: Extract the label attribute from data

Description

Usage

Value

Arguments

Examples