get_skimmers.haven_labelled

Variables labelled using the haven_labelled class are special
because the underlying data can be numeric or character. This skimmers summarises
both and leaves non-pertinent columns missings.

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

get_skimmers.haven_labelled function

<dl><dt>column</dt>
<dd>the column to skim</dd></dl>

Arguments

Define skimmers for haven_labelled variables — get_skimmers.haven_labelled

<dl>

<dt>column</dt>
<dd>the column to skim</dd>

</dl>

get_skimmers.haven_labelled: Define skimmers for haven_labelled variables

Description

Usage

Arguments