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\name{summary.stablelearnerList}
\alias{summary.stablelearner}
\alias{summary.stablelearnerList}
\alias{print.summary.stablelearnerList}
\title{Summarize Results from Stability Assessment}
\description{
Summarizes and prints the results from stability assessments performed by
\code{\link{stability}}.
}
\usage{
\method{summary}{stablelearnerList}(object, ..., reverse = TRUE,
probs = c(0.05, 0.25, 0.5, 0.75, 0.95), digits = 3, names = NULL)
}
\arguments{
\item{object}{a object of class \code{"stablelearner"} or
\code{"stablelearnerList"} to be summarized.}
\item{\dots}{Arguments passed from or to other functions (currently ignored).}
\item{reverse}{logical. If \code{reverse = TRUE} (default), the similarity
values summarized in the \code{summary} output are transformed (reversed)
such that higher values indicate a higher stability.}
\item{digits}{integer. The number of digits used to summarize the similarity
distribution in the \code{summary} output.}
\item{probs}{a vector of probabilities used tosummarize the similarity
distribution in the \code{summary} output.}
\item{names}{a vector of characters to specify a name for each result from
statistical learning in the \code{summary} output.}
}
\seealso{\code{\link{stability}}}
\examples{
\donttest{
library("partykit")
rval <- ctree(Species ~ ., data = iris)
stab <- stability(rval)
summary(stab)
summary(stab, reverse = FALSE)
summary(stab, probs = c(0.25, 0.5, 0.75))
summary(stab, names = "conditional inference tree")
}
}
\keyword{resampling}
\keyword{similarity}
|
