as_formatted_number

A selection of various tools to extend a data analysis workflow based on the 'tidyverse' packages.
This includes high-level data frame editing methods (in the style of 'mutate'/'mutate_at'), some methods in the style of
'purrr' and 'forcats', 'lookup' methods for dict-like lists, a generic method for lumping a data frame by a given count,
various low-level methods for special treatment of 'NA' values, 'python'-style tuple-assignment and 'truthy'/'falsy' checks,
saving to PDF and PNG from a pipe and various small utilities.

Marcel Wiesweg

tidytidbits

A Collection of Tools and Helpers Extending the Tidyverse

as_formatted_number function

<dl><dt>x</dt>
<dd>Numeric vector</dd>
<dt>decimal_places</dt>
<dd>Decimal places to display</dd>
<dt>remove_trailing_zeroes</dt>
<dd>If the required decimal places are less than decimal places,
should resulting trailing zeros be removed?</dd></dl>

Arguments

Format numeric value for output — as_formatted_number

<dl>

<dt>x</dt>
<dd>Numeric vector</dd>


<dt>decimal_places</dt>
<dd>Decimal places to display</dd>


<dt>remove_trailing_zeroes</dt>
<dd>If the required decimal places are less than decimal places,
should resulting trailing zeros be removed?</dd>

</dl>

as_formatted_number: Format numeric value for output

Description

Usage

Value

Arguments

Examples