plotcim

The <code>plotcim</code> function plots a cluster image
 mapping of correlations between outcomes and all the predictors.

Regularized version of partial least square approaches providing sparse, group, and sparse group versions of partial least square regression models (Liquet, B., Lafaye de Micheaux, P., Hejblum B., Thiebaut, R. (2016) <doi:10.1093/bioinformatics/btv535>). Version of PLS Discriminant analysis is also provided.

Benoit Liquet

sgPLS

Sparse Group Partial Least Square Methods

plotcim function

<dl> <dt>matX</dt>
<dd>data frame corresponding to the predictors.</dd>
 <dt>matY</dt>
<dd>data frame corresponding to the outcomes.</dd> 
 <dt>cexRow, cexCol</dt>
<dd>positive numbers, used as <code>cex.axis</code> in for the row or column 
	axis labeling. The defaults currently only use number of rows or columns, respectively.</dd> 
 
</dl>

Arguments

Benoit Liquet, <a href="/link/b.liquet%40uq.edu.au?package=sgPLS&version=1.8" data-mini-rdoc="sgPLS::b.liquet@uq.edu.au">b.liquet@uq.edu.au</a>, Pierre Lafaye de Micheaux <a href="/link/lafaye%40dms.umontreal.ca?package=sgPLS&version=1.8" data-mini-rdoc="sgPLS::lafaye@dms.umontreal.ca">lafaye@dms.umontreal.ca</a>

Author

Plots a cluster image mapping of correlations between
  outcomes and all predictors — plotcim

<dl>

 <dt>matX</dt>
<dd>data frame corresponding to the predictors.</dd>


 <dt>matY</dt>
<dd>data frame corresponding to the outcomes.</dd>

 
 <dt>cexRow, cexCol</dt>
<dd>positive numbers, used as <code>cex.axis</code> in for the row or column 
	axis labeling. The defaults currently only use number of rows or columns, respectively.</dd>

 
 
</dl>

Benoit Liquet, <a href='mailto:b.liquet@uq.edu.au'>b.liquet@uq.edu.au</a>, Pierre Lafaye de Micheaux <a href='mailto:lafaye@dms.umontreal.ca'>lafaye@dms.umontreal.ca</a>

plotcim: Plots a cluster image mapping of correlations between outcomes and all predictors

Description

Usage

Arguments

Author

Details