sort.grouped_df

As of 0.5, dplyr::arrange ignores groups. This function gives the old behavior as a method for generic base::sort. Borrowed from Ax3man at https://github.com/hadley/dplyr/issues/1206.

Supports systematic scrutiny, modification, and integration of
data. The function status() counts rows that have missing values in
grouping columns (returned by na() ), have non-unique combinations of
grouping columns (returned by dup() ), and that are not locally sorted
(returned by unsorted() ). Functions enumerate() and itemize() give
sorted unique combinations of columns, with or without occurrence counts,
respectively. Function ignore() drops columns in x that are present in y,
and informative() drops columns in x that are entirely NA; constant() returns
values that are constant, given a key.  Data that have defined unique
combinations of grouping values behave more predictably during merge operations.

Tim Bergsma

wrangle

A Systematic Data Wrangling Idiom

sort.grouped_df function

<dl><dt>x</dt>
<dd>grouped_df</dd>
<dt>decreasing</dt>
<dd>logical (ignored)</dd>
<dt>...</dt>
<dd>further sort criteria</dd></dl>

Arguments

Arrange by groups. — sort.grouped_df

<dl>

<dt>x</dt>
<dd>grouped_df</dd>


<dt>decreasing</dt>
<dd>logical (ignored)</dd>


<dt>...</dt>
<dd>further sort criteria</dd>

</dl>

sort.grouped_df: Arrange by groups.

Description

Usage

Value

Arguments

Examples