plot.cor: plot.cor

In sigbertklinke/plot.matrix: Visualizes a Matrix as Heatmap

plot.cor

Description

Visualizes a correlation matrix with a colored or gray heatmap. As a rule of thumb the breaks are determined by the effect sizes given by Cohen (c(-1, -0.4, -0.2, -0.05, 0, +0.05, +0.2, +0.4, +1). You may need to modify mar with the par command from its default c(5.1,4.1,4.1,2.1). See

• vignette('plot.matrix') for detailed examples, and

• plot.matrix for further parameters.

Usage

## S3 method for class 'cor'
plot(x, reorder = TRUE, gray = FALSE, grey = FALSE, ...)

Arguments

x	matrix: correlation within [-1,+1]
reorder	logical: if the rows (variables) of the loading matrix should be reordered (default: TRUE)
gray	logical: should be a gray scale color palette used or not (default: FALSE)
grey	logical: should be a gray scale color palette used or not (default: FALSE)
...	further parameter given to the plot.matrix command

Details

If either the parameter grey or gray is TRUE then a gray color palette is used.

Value

a plot

Examples

par(mar=c(5.1, 4.1, 4.1, 4.1))
# correlation matrix
c <- cor(airquality[,1:4], use="pairwise")
plot(as.cor(c))
plot(as.cor(c), gray=TRUE)
plot(as.cor(c[,1:3]), reorder=FALSE)

sigbertklinke/plot.matrix documentation built on April 2, 2022, midnight