HH (version 2.1-25)

HH_regsubsets: Display tabular results for Best Subsets Regression.

Description

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 S-Plus, hence these functions do not work in the HH package for S-Plus.

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.

Value

  • summary_HH produces a table of models, with p, rsq, rss, adjr2, cp, bic, stderr for each. plot.summary_HH_regsubsets plots the specified statistic from the summary. All the others are support functions.

See Also

regsubsets, bestSubsetsRegressionModel.HH