HH.regsubsets  R Documentation 
Print a tabular display of the results of Best Subsets Regression.
This is an alternate display for the object from the regsubsets
function. This function is based on regsubsets
.
The functions described here are designed for the HH package in R and
use the leaps package in R.
The leaps package is not in SPlus, hence these functions
do not work in the HH package for SPlus.
`summaryHH`(object, ...)
## S3 method for class 'regsubsets'
summaryHH(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 'summaryHH.regsubsets'
plot(x, ...,
statistic="adjr2", legend=FALSE,
col="darkgray", cex=1, pch=16,
col.text="black", cex.text=1, col.abline="darkgray")
object 
An object of class 
x 
An object of class 
statistic 
Name of statistic to be plotted for each model. 
... 
Other arguments to be passed down to

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, 
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 
main 

col , cex , pch 

col.text , cex.text 

col.abline 

summaryHH
produces a table of models, with
p, rsq, rss, adjr2, cp, bic, stderr
for each.
plot.summaryHH.regsubsets
plots the specified statistic
from the summary.
All the others are support functions.
Richard M. Heiberger <rmh@temple.edu>
regsubsets
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