viplot: variable importance plot

In bclust: Bayesian Hierarchical Clustering Using Spike and Slab Models

Description

This function plots varible importances using a barplot.

Usage

viplot(varimp, xlab, xlab.mar = 5, ylab.mar = 4, xlab.srt = 90, 
xlab.cex = 1, sort = FALSE, ...)

Arguments

varimp	A numeric vector, variable importances.
xlab	A vector of strings. Labels to be plotted on x-axis.
xlab.mar	A positive value. The margin reserved for x-axis labels.
ylab.mar	A positive value, The margin reserved for y-axis labels.
xlab.srt	A numeric value, amount of rotation of the x-axis labels.
xlab.cex	A positive value, magnitude of x-axis labels.
sort	A logical value, TRUE if sorted variables should be plotted.
...	The barplot options.

Details

It is not strightforward to rotate x labels of a barplot. This function does it easily.

See Also

imp, dptplot, ditplot.

Examples

data(gaelle)
gaelle.bclust<-bclust(gaelle,
transformed.par=c(-1.84,-0.99,1.63,0.08,-0.16,-1.68))
gaelle.imp<-imp(gaelle.bclust)
viplot(varimp=gaelle.imp$var)
# solid plot 

viplot(varimp=gaelle.imp$var,xlab=imp(gaelle.bclust)$labels,
sort=TRUE,col=heat.colors(length(gaelle.imp$var))) 
# sorted plot with heat colors and labels

Example output

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bclust documentation built on May 2, 2019, 5 p.m.