\name{NetResponseModel-class} %\Rdversion{1.1} \docType{class} \alias{NetResponseModel-class} \alias{[[,NetResponseModel-method} \alias{show,NetResponseModel-method} %\alias{get.subnets} %\alias{get.subnets,NetResponseModel-method} % NOTE: no space after comma!! %\alias{get.model.parameters} %\alias{get.model.parameters, NetResponseModel-method} \title{Class "NetResponseModel"} \description{A NetResponse model.} \section{Objects from the Class}{ Returned by \code{\link{detect.responses}} function. } \section{Slots}{ \describe{ \item{moves}{Subnetwork merging history.} %\item{costs}{Cost function values at the different steps.} \item{last.grouping}{Subnetworks in the last agglomeration level: feature indices} \item{subnets}{Subnetworks in the last agglomeration level: feature names} \item{params}{Input parameters.} %\item{nodes}{Node ids from the original modelled data matrix.} %\item{samples}{Sample ids from the original modelled data matrix. } \item{datamatrix}{Original input datamatrix that was used to learn the model.} \item{network}{Original network that was used to learn the model (after netresponse preprocessing), given in graphNEL format.} \item{models}{Parameters for the learned subnetwork models.} } } %\section{Extends}{ %Class \code{"\linkS4class{list}"}, from data part. %Class \code{"\linkS4class{vector}"}, by class "list", distance 2. %} \section{Methods}{ \describe{ %\item{[}{\code{signature(x = "rpa")}: ... } \item{[[}{\code{signature(x = "NetResponseModel")}: ... } \item{show}{\code{signature(x = "NetResponseModel")}: ... } % \item{get.subnets}{\code{signature(model = "NetResponseModel", % get.names = "logical", stat = "data.frame",min.size = %"numeric", max.size = "numeric", min.responses = "numeric")}: Returns %a list of subnetworks detected by the model.} }} \author{Leo Lahti \email{leo.lahti@iki.fi}} \examples{showClass("NetResponseModel")} %\usage{\S4method{ get.subnets }{NetResponseModel}(model, level, get.names, stat, min.size, max.size, min.responses)} %\seealso{\linkS4class{}} %\examples{ % #List the detected subnetworks (each is a list of nodes that belong to % #that subnetwork): % #res <- detect.responses(D, netw, verbose = FALSE) % #get.subnets(res) %} \keyword{classes}