plot.regsubsets {leaps} | R Documentation |
Plots a table of models showing which variables are in each model. The
models are ordered by the specified model selection statistic. This plot
is particularly useful when there are more than ten or so models and the simple table
produced by summary.regsubsets
is too big to read.
## S3 method for class 'regsubsets': plot(x, labels=obj$xnames, main=NULL, scale=c("bic", "Cp", "adjr2", "r2"), col=gray(seq(0, 0.9, length = 10)),...)
x |
regsubsets object |
labels |
variable names |
main |
title for plot |
scale |
which summary statistic to use for ordering plots |
col |
Colors: the last color should be close to but distinct from white |
... |
other arguments |
None
Thomas Lumley, based on a concept by Merlise Clyde
data(swiss) a<-regsubsets(Fertility~.,nbest=3,data=swiss) par(mfrow=c(1,2)) plot(a) plot(a,scale="r2")