list_to_dict

dict_to_list

Sometimes, you'll want to have variable labels in a data.frame, sometimes
you'll have imported an existing data dictionary and will need to turn it
into a list before setting <code>labelled::var_label()</code>.

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

list_to_dict function

<dl><dt>named_list</dt>
<dd>a named list with one element each (names being variable names, elements being labels)</dd>
<dt>dict</dt>
<dd>a data frame with the variable names in the first and the labels in the second column. If they are named variable and label, they can also be in a different order.</dd></dl>

Arguments

Go from a named list to a key-value data frame or data dictionary and back — list_to_dict

<dl>

<dt>named_list</dt>
<dd>a named list with one element each (names being variable names, elements being labels)</dd>


<dt>dict</dt>
<dd>a data frame with the variable names in the first and the labels in the second column. If they are named variable and label, they can also be in a different order.</dd>

</dl>

list_to_dict: Go from a named list to a key-value data frame or data dictionary and back

Description

Usage

Arguments

Examples