clustcurv (version 2.0.1)

summary.clustcurves: Summarizing fits of kclustcurves class produced by survclustcurves and regclustcurves

Description

Takes a clustcurves object and produces various useful summaries from it.

Usage

# S3 method for clustcurves
summary(object, ...)

Arguments

object

a clustcurves object as producted by survclustcurves and regclustcurves

…

additional arguments.

Value

summary.clustcurves computes and returns a list of summary information for a clustcurves object.

levels

Levels of the factor.

cluster

A vector containing the assignment of each factor's level to its group.

table

A data.frame containing the results from the hypothesis test.

Details

print.clustcurves tries to be smart about summary.clustcurves.

Examples

# NOT RUN {
library(clustcurv)
library(survival)
library(condSURV)
data(veteran)
data(colonCS)

# Survival framework
ressurv <- survclustcurves(time = veteran$time, status = veteran$status,
x = veteran$celltype, algorithm = 'kmeans', nboot = 2)

summary(ressurv)


# Regression framework
resreg <- regclustcurves(y = barnacle5$DW, x = barnacle5$RC, z = barnacle5$F,
algorithm = 'kmeans', nboot = 2)

summary(resreg)



# }