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plot.matrix

Visualizes a matrix object plainly as heatmap. It provides a

View the vignette on GitHub or after installing with

library("plot.matrix")
vignette("plot.matrix") 

Installation

From CRAN

install.packages("plot.matrix")

From github

Note that from github you install the current development version.

library("devtools")
install_github("sigbertklinke/plot.matrix")

Examples

plot.matrix

# you may need to adjust the margin sizes
library("plot.matrix")
par(mar=c(5.1, 4.1, 4.1, 4.1)) # default c(5.1, 4.1, 4.1, 2.1)
# numeric matrix
x <- matrix(runif(50), nrow=10)
plot(x)
plot(x, key=NULL)
plot(x, key=list(cex.axis=0.5, tick=FALSE))
plot(x, digits=3)
plot(x, breaks=c(0,1), digits=3, cex=0.6)
# logical matrix
m <- matrix(runif(50)<0.5, nrow=10)
plot(m)
plot(m, key=NULL, digits=1)
# character matrix
s <- matrix(sample(letters[1:10], 50, replace=TRUE), nrow=10)
plot(s)
plot(s, digits=10)
plot(s, digits=10, col=heat.colors(5), breaks=letters[1:5])

plot.loadings

# factor analysis
library("psych")
data <- na.omit(bfi[,1:25]))
#
fa1 <- factanal(data, 5)
plot(loadings(fa1))
#
fa2 <- fa(data, 5) # psych::fa
plot(loadings(fa2))
# principal component analysis
library("psych")
data <- na.omit(bfi[,1:25]))
# 
pa <- princomp(data)
plot(loadings(pa), digits=NA) # no numbers
#
pa <- prcomp(data)
ld <- structure(pa$rotation, class="loadings")
plot(ld, digits=NA)

assignColors

# numeric vector
assignColors(runif(50))
# logical vector
assignColors(runif(50)<0.5) 
# character vector
assignColors(sample(letters[1:10], 50, replace=TRUE))

History

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.