smoking

Frequency table representing smoking habits of different employees in a company

datasets

Several multivariate techniques from a biplot perspective. It is the translation (with many improvements) into R of the previous package developed in 'Matlab'. The package contains some of the main developments of my team during the last 30 years together with some more standard techniques. Package includes: Classical Biplots, HJ-Biplot, Canonical Biplots, MANOVA Biplots, Correspondence Analysis, Canonical Correspondence Analysis, Canonical STATIS-ACT, Logistic Biplots for binary and ordinal data, Multidimensional Unfolding, External Biplots for Principal Coordinates Analysis or Multidimensional Scaling, among many others. References can be found in the help of each procedure.

Jose Vicente-Villardon

MultBiplotR

Multivariate Analysis Using Biplots in R

smoking function

A data frame with 5 observations on the following 4 variables.<dl>
 <dt><code>None</code></dt>
<dd>a numeric vector</dd> <dt><code>Light</code></dt>
<dd>a numeric vector</dd> <dt><code>Medium</code></dt>
<dd>a numeric vector</dd> <dt><code>Heavy</code></dt>
<dd>a numeric vector</dd> 
</dl>

Format

Smoking habits — smoking

A data frame with 5 observations on the following 4 variables.<dl>
 <dt><code>None</code></dt>
<dd>a numeric vector</dd>

 <dt><code>Light</code></dt>
<dd>a numeric vector</dd>

 <dt><code>Medium</code></dt>
<dd>a numeric vector</dd>

 <dt><code>Heavy</code></dt>
<dd>a numeric vector</dd>

 
</dl>

smoking: Smoking habits

Description

Usage

Arguments

Format

Details

References

Examples