skim_codebook

Implements the regular functionality of <code>skimr::skim()</code> but renames the columns
p0, p50, and p100 to min, median, and max respectively for numeric types to
keep things consistent across type (and produce a narrower wide table).

Easily automate the following tasks to describe data frames:
Summarise the distributions, and labelled missings of variables graphically
and using descriptive statistics.
For surveys, compute and summarise reliabilities (internal consistencies,
retest, multilevel) for psychological scales.
Combine this information with metadata (such as item labels and labelled
values) that is derived from R attributes.
To do so, the package relies on 'rmarkdown' partials, so you can generate
HTML, PDF, and Word documents.
Codebooks are also available as tables (CSV, Excel, etc.) and in JSON-LD, so
that search engines can find your data and index the metadata.
The metadata are also available at your fingertips via RStudio Addins.

Ruben Arslan

codebook

Automatic Codebooks from Metadata Encoded in Dataset Attributes

skim_codebook function

<dl><dt>data</dt>
<dd>the dataset to skim</dd>
<dt>...</dt>
<dd>passed to <code>skimr::skim()</code></dd></dl>

Arguments

Skim codebook — skim_codebook

<dl>

<dt>data</dt>
<dd>the dataset to skim</dd>


<dt>...</dt>
<dd>passed to <code>skimr::skim()</code></dd>

</dl>

skim_codebook: Skim codebook

Description

Usage

Arguments

Examples