HH_regsubsets {RcmdrPlugin.HH}R Documentation

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.

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.

Author(s)

Richard M. Heiberger <rmh@temple.edu>

See Also

regsubsets, bestSubsetsRegressionModel.HH

Examples

data(Prestige, package="car")
Subsets.1 <- regsubsets(prestige~census+education+income+women,
                        data=Prestige, nbest=2)
summary_HH(Subsets.1, statistic.plot='cp')

[Package RcmdrPlugin.HH version 1.1-12 Index]