ConstrainedLogisticBiplot

Constrained Binary Logistic Biplot or Redundancy Analysis for Binary Data based on logistic responses

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

ConstrainedLogisticBiplot function

<dl> <dt>Y</dt>
<dd>A binary data matrix</dd> <dt>X</dt>
<dd>A matrix of predictors</dd> <dt>dim</dt>
<dd>Dimension of the Solution</dd> <dt>Scaling</dt>
<dd>Transformation of the columns of the predictor matrix.</dd> <dt>tolerance</dt>
<dd>Tolerance for the algorithm</dd> <dt>maxiter</dt>
<dd>Maximum number of iterations.</dd> <dt>penalization</dt>
<dd>Penalization for the fit (ridge)</dd></dl>

Arguments

Author

Constrained Binary Logistic Biplot — ConstrainedLogisticBiplot

<dl>

 <dt>Y</dt>
<dd>A binary data matrix</dd>

 <dt>X</dt>
<dd>A matrix of predictors</dd>

 <dt>dim</dt>
<dd>Dimension of the Solution</dd>

 <dt>Scaling</dt>
<dd>Transformation of the columns of the predictor matrix.</dd>

 <dt>tolerance</dt>
<dd>Tolerance for the algorithm</dd>

 <dt>maxiter</dt>
<dd>Maximum number of iterations.</dd>

 <dt>penalization</dt>
<dd>Penalization for the fit (ridge)</dd>

</dl>

ConstrainedLogisticBiplot: Constrained Binary Logistic Biplot

Description

Usage

Value

Arguments

Author

Details

References

Examples