remove_blanks

Removes leading and trailing blanks or both. Can also remove all blanks from a
character or normalize multiple blanks to single ones.

The main goal is to make descriptive evaluations easier to create bigger and more complex outputs in less time with less code. Introducing format containers with multilabels <https://documentation.sas.com/doc/en/pgmsascdc/v_067/proc/p06ciqes4eaqo6n0zyqtz9p21nfb.htm>, a more powerful summarise which is capable to output every possible combination of the provided grouping variables in one go <https://documentation.sas.com/doc/en/pgmsascdc/v_067/proc/p0jvbbqkt0gs2cn1lo4zndbqs1pe.htm>, tabulation functions which can create any table in different styles <https://documentation.sas.com/doc/en/pgmsascdc/v_067/proc/n1ql5xnu0k3kdtn11gwa5hc7u435.htm> and other more readable functions. The code is optimized to work fast even with datasets of over a million observations.

Tim Siebenmorgen

Powerful 'SAS' Inspired Concepts for more Efficient Bigger
Outputs

remove_blanks function

<dl><dt>data_frame</dt>
<dd>A data frame which contains the character variables from which blanks
should be removed.</dd>
<dt>variable</dt>
<dd>Variable name of the one from which to remove blanks.</dd>
<dt>which</dt>
<dd>"all" by default. Can be "leading", "trailing", "trim", "normalize" or "all".
Determines which blanks should be removed</dd></dl>

Arguments

Remove Blanks — remove_blanks

<dl>

<dt>data_frame</dt>
<dd>A data frame which contains the character variables from which blanks
should be removed.</dd>


<dt>variable</dt>
<dd>Variable name of the one from which to remove blanks.</dd>


<dt>which</dt>
<dd>"all" by default. Can be "leading", "trailing", "trim", "normalize" or "all".
Determines which blanks should be removed</dd>

</dl>

remove_blanks: Remove Blanks

Description

Usage

Value

Arguments

See Also

Examples