skim_metrics

Inspired by the skimr package.
Computes descriptive statistics (min, quartiles, mean, sd, CI, items, alpha)
for selected numeric variables, respecting dplyr groupings and preserving attributes.

internal

Craft polished tables and plots in Markdown reports.
Simply choose whether to treat your data as counts or metrics,
and the package will automatically generate well-designed default tables and plots for you.
Boiled down to the basics, with labeling features and simple interactive reports.
All functions are 'tidyverse' compatible.

Jakob Jünger

volker

High-Level Functions for Tabulating, Charting and Reporting
Survey Data

Henrieke Kotthoff

Chantal Gärtner

Sophia Rinne

skim_metrics function

<dl><dt>data</dt>
<dd>A data frame or tibble (may be grouped with dplyr::group_by()).</dd>
<dt>cols</dt>
<dd>Columns to summarise, specified using tidyselect (e.g., where(is.numeric)).</dd></dl>

Arguments

A skimmer for metric variables — skim_metrics

<dl>

<dt>data</dt>
<dd>A data frame or tibble (may be grouped with dplyr::group_by()).</dd>


<dt>cols</dt>
<dd>Columns to summarise, specified using tidyselect (e.g., where(is.numeric)).</dd>

</dl>

skim_metrics: A skimmer for metric variables

Description

Usage

Value

Arguments