Usage
`summary_HH`(object, ...)
## S3 method for class 'regsubsets':
summary_HH(object,
names = abbreviate(dimnames(incidence)[[2]], minlength = abbrev),
abbrev = 1, min.size = 1, max.size = dim(sumry$which)[2],
statistic = c("bic", "cp", "adjr2", "rsq", "rss", "stderr"),
las = par("las"),
cex.subsets = 1, ..., main=statistic)
## S3 method for class 'summary_HH_regsubsets':
plot(x, ...,
statistic="adjr2", legend=FALSE,
col="darkgray", cex=1, pch=16,
col.text="black", cex.text=1, col.abline="darkgray")
Arguments
object
An object of class "regsubsets"
.
x
An object of class "summary_HH_regsubsets"
.
statistic
Name of statistic to be plotted for each model.
...
Other arguments to be passed down to
subsets.regsubsets
and plot
.
names
Abbreviations of variable names.
abbrev
minimum number of letters in each abbreviation.
min.size
minimum size subset to plot; default is 1.
max.size
maximum size subset to plot; default is number of predictors.
legend
logical variable, TRUE
if the legend should be
printed.
If the legend is printed, the execution halts until the user clicks an
empty space in the graph where the legend should be placed.
las
Orientation for model names on graph.
cex.subsets
can be used to change the relative size of the characters used to
plot the regression subsets; default is 1
.
main
"main"
title for graph.
col, cex, pch
par
values for dot locating statistic.
col.text, cex.text
par
values for abbreviations of
models on plot.
col.abline
par
parameters for abline
when the
statistic is cp
.