anderson2

This data is subdata of anderson with medium(2.3 &lt; logWBC &lt;= 2.96) and high WBC count(logWBC &gt; 2.96)

datasets

Make summary tables for descriptive statistics and select explanatory variables
automatically in various regression models. Support linear models, generalized linear
models and cox-proportional hazard models. Generate publication-ready tables summarizing
result of regression analysis and plots. The tables and plots can be exported in "HTML",
"pdf('LaTex')", "docx('MS Word')" and "pptx('MS Powerpoint')" documents.

KeonWoong Moon

autoReg

Automatic Linear and Logistic Regression and Survival Analysis

Keon-Woong Moon

anderson2 function

A data.frame with 31 rows and 6 variables<dl>
<dt>time</dt>
<dd>survival time in weeks</dd><dt>status</dt>
<dd>censoring status 1=failure 0=censored</dd><dt>sex</dt>
<dd>sex 0=Female 1=Male</dd><dt>logWBC</dt>
<dd>log white blood cell count</dd><dt>rx</dt>
<dd>treatment status 1=control 0 =treatment</dd><dt>WBCCAT</dt>
<dd>WBC count group 1=medium 2=high</dd>
</dl>

Format

Remission survival times of 31 leukemia patients — anderson2

A data.frame with 31 rows and 6 variables<dl>
<dt>time</dt>
<dd>survival time in weeks</dd>

<dt>status</dt>
<dd>censoring status 1=failure 0=censored</dd>

<dt>sex</dt>
<dd>sex 0=Female 1=Male</dd>

<dt>logWBC</dt>
<dd>log white blood cell count</dd>

<dt>rx</dt>
<dd>treatment status 1=control 0 =treatment</dd>

<dt>WBCCAT</dt>
<dd>WBC count group 1=medium 2=high</dd>


</dl>

anderson2: Remission survival times of 31 leukemia patients

Description

Usage

Arguments

Format

Details