# subsets

0th

Percentile

##### Plot Output from regsubsets Function in leaps package

The regsubsets function in the leaps package finds optimal subsets of predictors. This function plots a measure of fit (see the statistic argument below) against subset size).

Keywords
hplot, regression
##### Usage
subsets(object, ...)

## S3 method for class 'regsubsets':
subsets(object,
names=abbreviate(object$xnames, minlength = abbrev), abbrev=1, min.size=1, max.size=length(names), legend, statistic=c("bic", "cp", "adjr2", "rsq", "rss"), las=par('las'), cex.subsets=1, ...) ##### Arguments object a regsubsets object produced by the regsubsets function in the leaps package. names a vector of (short) names for the predictors, excluding the regression intercept, if one is present; if missing, these are derived from the predictor names in object. abbrev minimum number of characters to use in abbreviating predictor names. min.size minimum size subset to plot; default is 1. max.size maximum size subset to plot; default is number of predictors. legend TRUE to plot a legend of predictor names; defaults to TRUE if abbreviations are computed for predictor names. The legend is placed on the plot interactively with the mouse. statistic statistic to plot for each predictor subset; one of: "bic", Bayes Information Criterion; "cp", Mallows's$C_{p}$; "adjr2",$R^{2}\$ adjusted for degrees of freedom; "rsq", unadjusted
las
if 0, ticks labels are drawn parallel to the axis; set to 1 for horizontal labels (see par).
cex.subsets
can be used to change the relative size of the characters used to plot the regression subsets; default is 1.
...
arguments to be passed down to subsets.regsubsets and plot.
##### Value

• NULL. This function is used for its side effect -- to create a plot.

regsubsets

##### Aliases
• subsets
• subsets.regsubsets
##### Examples
library(leaps)
subsets(regsubsets(undercount ~ ., data=Ericksen))
Documentation reproduced from package car, version 1.2-2, License: GPL version 2 or newer

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