\name{stamCV-class} \docType{class} \alias{stamCV-class} \alias{initialize,stamCV-method} \alias{print,stamCV-method} \alias{writeHTML,stamCV-method} \title{Cross Validation Information Generated by StAM} \description{ Objects if this class are generated by \code{stam.cv}. It contains results of cross validated model fits generated in structured analysis of microarrays in order to choose graph shrinkage levels. } \section{Objects from the Class}{ Objects can be created by calls of the form \code{new("stamCV", exprs, classifications, beta, chip, root)}, but it is recommended the use the function \code{stam.cv}. } \section{Slots}{ \describe{ \item{\code{sample.labels}:}{Object of class \code{"character"}, names of samples} \item{\code{sample.classes}:}{Object of class \code{"character"}, class names for each sample} \item{\code{class.labels}:}{Object of class \code{"character"}, one name for each class} \item{\code{prior}:}{Object of class \code{"numeric"}, prior class probabilities according to prevalence} \item{\code{beta}:}{Object of class \code{"numeric"}, class weights, one per class} \item{\code{full.pamfit}:}{Object of class \code{"nsc"}, PAM fit on all probesets} \item{\code{probs}:}{Object of class \code{"array"}, matrix of cross validated prediction probabilities [samples x classes x nodes]} \item{\code{folds}:}{Object of class \code{"list"}, buckets used in cross validation} \item{\code{results}:}{Object of class \code{"data.frame"}, cross-validated root error rate, root performance and mean redundancy as well as remaining nodes and the accessible probesets for each delta} \item{\code{node.results}:}{Object of class \code{"list"}, performance, redundancy, sensitivity and specificity per node} \item{\code{max.leafdev}:}{Object of class \code{"numeric"}, performance of worst leaf node} \item{\code{deltas}:}{Object of class \code{"numeric"}, shrinkage candidates} } See \code{stamNet-class} for slots \code{chip}, \code{root}, \code{chippkg}, \code{GOpkg}, \code{nodes}, \code{leafs}, \code{inodes} and \code{probes}. } \section{Extends}{ Class \code{"stamNet"}, directly. } \section{Methods}{ \describe{ \item{print}{\code{signature(x = "stamCV")}: print information on cross validation} \item{writeHTML}{\code{signature(x = "stamCV")}: generate HTML information on cross validation. However, using \code{stam.writeHTML} is recommended.} } } \author{Claudio Lottaz} \seealso{\code{\link{stam.cv}}, \code{\link{stamNet-class}}} \keyword{classes}