md_pattern

Generate missingness patterns using a function borrowed from mice,
with options to reduce the complexity of the output.

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

md_pattern function

<dl><dt>data</dt>
<dd>the dataset</dd>
<dt>omit_complete</dt>
<dd>defaults to TRUE, omitting variables without missing values</dd>
<dt>min_freq</dt>
<dd>minimum number of rows to have this missingness pattern</dd></dl>

Arguments

Missing data patterns — md_pattern

<dl>

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


<dt>omit_complete</dt>
<dd>defaults to TRUE, omitting variables without missing values</dd>


<dt>min_freq</dt>
<dd>minimum number of rows to have this missingness pattern</dd>

</dl>

md_pattern: Missing data patterns

Description

Usage

Arguments

Examples