plotCorrMatrix {variancePartition} | R Documentation

## plotCorrMatrix

### Description

Plot correlation matrix

### Usage

    plotCorrMatrix(C, dendrogram = "both", sort = TRUE, margins = c(13,
      13), key.xlab = "correlation", ...)

### Arguments

`C` | correlation matrix: R or R^2 matrix
`dendrogram` | character string indicating whether to draw 'both' or none'
`sort` | sort rows and columns based on clustering
`margins` | spacing of plot
`key.xlab` | label of color gradient
`...` | additional arguments to heatmap.2

### Details

Plots image of correlation matrix using customized call to heatmap.2

### Value

Image of correlation matrix

### Examples

    # simulate simple matrix of 10 variables
    mat = matrix(rnorm(1000), ncol=10)

    # compute correlation matrix
    C = cor(mat)

    # plot correlations
    plotCorrMatrix( C )

    # plot squared correlations
    plotCorrMatrix( C^2, dendrogram="none" )

[Package variancePartition version 1.10.4 Index]