airquality_4test

datasets

Mimic the style of traditional reporting macros for clinical trials. The purpose is to generate tables, listings and figures that support clinical research. This package is well suited for firms or individuals who wish to incorporate R without changing their ways of working as it follows a traditional clinical research workflow. Invoke functions (instead of macros) to summarize data and produce formatted reports. This package differs from others in that it includes tools (wrappers) for both analyzing and reporting data.

Chris Rook

repfun

Create Tables, Listings and Figures using Functions Styled after
SAS™ Macros

Yongwei Wang

GlaxoSmithKline Research & Development Limited 

airquality_4test function

A data frame with 100 observations and 8 columns:<dl>
<dt> Ozone </dt>
<dd>Ozone Score</dd><dt> Solar.R </dt>
<dd>Solar Score</dd><dt> Wind </dt>
<dd>Wind Score</dd><dt> Temp </dt>
<dd>Temperature</dd><dt> Month </dt>
<dd>Month of Year</dd><dt> Day </dt>
<dd>Day of Month</dd><dt> CharVar1 </dt>
<dd>Dummy Character Variable 1</dd><dt> CharVar2 </dt>
<dd>Dummy Character Variable 2</dd>
</dl>

Format

Updated airquality for testing. — airquality_4test

A data frame with 100 observations and 8 columns:<dl>
<dt> Ozone </dt>
<dd>Ozone Score</dd>

<dt> Solar.R </dt>
<dd>Solar Score</dd>

<dt> Wind </dt>
<dd>Wind Score</dd>

<dt> Temp </dt>
<dd>Temperature</dd>

<dt> Month </dt>
<dd>Month of Year</dd>

<dt> Day </dt>
<dd>Day of Month</dd>

<dt> CharVar1 </dt>
<dd>Dummy Character Variable 1</dd>

<dt> CharVar2 </dt>
<dd>Dummy Character Variable 2</dd>


</dl>

airquality_4test: Updated airquality for testing.

Description

Usage

Arguments

Format

Details

References

Examples