DataFrame2Matrix4Regression

Prepares a matrix for regression from a data frame

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

DataFrame2Matrix4Regression function

<dl> <dt>X</dt>
<dd>A data frame</dd> <dt>last</dt>
<dd>Logical to use the last category of nominal variabless as baseline.</dd> <dt>Intercept</dt>
<dd>Logical to tell the function if a constant must be present</dd></dl>

Arguments

Author

Prepares a matrix for regression from a data frame — DataFrame2Matrix4Regression

<dl>

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

 <dt>last</dt>
<dd>Logical to use the last category of nominal variabless as baseline.</dd>

 <dt>Intercept</dt>
<dd>Logical to tell the function if a constant must be present</dd>

</dl>

DataFrame2Matrix4Regression: Prepares a matrix for regression from a data frame

Description

Usage

Value

Arguments

Author

Details

Examples