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Visualizes a matrix object plainly as heatmap. It provides a
plot
for matrices,assignColors
which assigns a specific color to
each value of a vector, andView the vignette on GitHub or after installing with
library("plot.matrix")
vignette("plot.matrix")
install.packages("plot.matrix")
Note that from github you install the current development version.
library("devtools")
install_github("sigbertklinke/plot.matrix")
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
<- matrix(runif(50), nrow=10)
x 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
<- matrix(runif(50)<0.5, nrow=10)
m plot(m)
plot(m, key=NULL, digits=1)
# character matrix
<- matrix(sample(letters[1:10], 50, replace=TRUE), nrow=10)
s plot(s)
plot(s, digits=10)
plot(s, digits=10, col=heat.colors(5), breaks=letters[1:5])
plot.loadings
# factor analysis
library("psych")
<- na.omit(bfi[,1:25]))
data #
<- factanal(data, 5)
fa1 plot(loadings(fa1))
#
<- fa(data, 5) # psych::fa
fa2 plot(loadings(fa2))
# principal component analysis
library("psych")
<- na.omit(bfi[,1:25]))
data #
<- princomp(data)
pa plot(loadings(pa), digits=NA) # no numbers
#
<- prcomp(data)
pa <- structure(pa$rotation, class="loadings")
ld 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))
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.