infer_colgrps

Takes a data frame where each non row index is a data frame column, and
sets the corresponding column grouping.

The 'groupr' package provides a more powerful version of grouped
tibbles from 'dplyr'. It allows groups to be marked inapplicable,
which is a simple but widely useful way to express structure in a dataset.
It also provides powerful pivoting and other group manipulation functions.

Nicholas Griffiths

groupr

Groups with Inapplicable Values

infer_colgrps function

<dl><dt>x</dt>
<dd>A tibble with data frame data columns</dd>
<dt>index_name</dt>
<dd>A name for the new column index</dd>
<dt>sep</dt>
<dd>A character used to join the data column and group names</dd></dl>

Arguments

Set Column Grouping for a Structured Data Frame — infer_colgrps

<dl>

<dt>x</dt>
<dd>A tibble with data frame data columns</dd>


<dt>index_name</dt>
<dd>A name for the new column index</dd>


<dt>sep</dt>
<dd>A character used to join the data column and group names</dd>

</dl>

infer_colgrps: Set Column Grouping for a Structured Data Frame

Description

Usage

Value

Arguments