likert_from_items

Pass a data.frame containing several items composing one scale, get a
<code>likert::likert()</code> object, which you can plot.
Intelligently makes use of labels and value labels if present.

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

likert_from_items function

<dl><dt>items</dt>
<dd>a data frame of items composing one scale</dd></dl>

Arguments

Derive a likert object from items — likert_from_items

<dl>

<dt>items</dt>
<dd>a data frame of items composing one scale</dd>

</dl>

likert_from_items: Derive a likert object from items

Description

Usage

Arguments

Examples