plotcim: Plots a cluster image mapping of correlations between...
In sgPLS: Sparse Group Partial Least Square Methods
plotcim R Documentation
Plots a cluster image mapping of correlations between
outcomes and all predictors
Description
The plotcim function plots a cluster image
mapping of correlations between outcomes and all the predictors.
Usage
plotcim(matX, matY, cexCol = 0.5, cexRow = 1)
Arguments
matX
data frame corresponding to the predictors.
matY
data frame corresponding to the outcomes.
cexRow, cexCol
positive numbers, used as cex.axis in for the row or column
axis labeling. The defaults currently only use number of rows or columns, respectively.
Details
To be used with a small number of predictors (<1,000).
Author(s)
Benoit Liquet, b.liquet@uq.edu.au,
Pierre Lafaye de Micheaux lafaye@dms.umontreal.ca
sgPLS documentation built on Oct. 5, 2023, 5:06 p.m.
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| plotcim | R Documentation |
Plots a cluster image mapping of correlations between outcomes and all predictors
Description
The plotcim function plots a cluster image
mapping of correlations between outcomes and all the predictors.
Usage
plotcim(matX, matY, cexCol = 0.5, cexRow = 1)
Arguments
matX |
data frame corresponding to the predictors. |
matY |
data frame corresponding to the outcomes. |
cexRow, cexCol |
positive numbers, used as |
Details
To be used with a small number of predictors (<1,000).
Author(s)
Benoit Liquet, b.liquet@uq.edu.au,
Pierre Lafaye de Micheaux lafaye@dms.umontreal.ca
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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