dummy_data

The dummy data frame contains a few randomly generated variables like year, sex,
age, income and weight to test out functionalities. It can be generated with the desired
number of observations.

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

dummy_data function

<dl><dt>no_obs</dt>
<dd>Number of observations.</dd>
<dt>monitor</dt>
<dd>FALSE by default. If TRUE outputs two charts to visualize the functions time consumption.</dd></dl>

Arguments

Dummy Data — dummy_data

<dl>

<dt>no_obs</dt>
<dd>Number of observations.</dd>


<dt>monitor</dt>
<dd>FALSE by default. If TRUE outputs two charts to visualize the functions time consumption.</dd>

</dl>

dummy_data: Dummy Data

Description

Usage

Value

Arguments

Examples