gaze_sub

Summary function for categorical/continuous variable

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

gaze_sub function

<dl><dt>data</dt>
<dd>A data.frame</dd>
<dt>xname</dt>
<dd>A name of categorical/continuous vector</dd>
<dt>y</dt>
<dd>A name of vector, either continuous or categorical</dd>
<dt>max.ylev</dt>
<dd>max.ylev An integer indicating the maximum number of levels of grouping variable ('y').
If a column have unique values less than max.ylev it is treated as a categorical variable. Default value is 5.</dd>
<dt>autoCat</dt>
<dd>logical Whether or not use is.mynumeric() to determine whether a variable is numeric or not</dd>
<dt>...</dt>
<dd>Further arguments to be passed to gazeCont() or gazeCat()</dd></dl>

Arguments

Summary function for categorical/continuous variable — gaze_sub

<dl>

<dt>data</dt>
<dd>A data.frame</dd>


<dt>xname</dt>
<dd>A name of categorical/continuous vector</dd>


<dt>y</dt>
<dd>A name of vector, either continuous or categorical</dd>


<dt>max.ylev</dt>
<dd>max.ylev An integer indicating the maximum number of levels of grouping variable ('y').
If a column have unique values less than max.ylev it is treated as a categorical variable. Default value is 5.</dd>


<dt>autoCat</dt>
<dd>logical Whether or not use is.mynumeric() to determine whether a variable is numeric or not</dd>


<dt>...</dt>
<dd>Further arguments to be passed to gazeCont() or gazeCat()</dd>

</dl>

gaze_sub: Summary function for categorical/continuous variable

Description

Usage

Value

Arguments

Examples