clustcurv (version 2.0.1)

summary.kcurves: Summarizing fits of kcurves class produced by ksurvcurves and kregcurves

Description

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

Usage

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

Arguments

object

a kcurves object as producted by ksurvcurves and kregcurves

…

additional arguments.

Value

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

levels

Levels of the factor.

cluster

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

Details

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

Examples

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

# Survival: 2 groups k-means
s2 <- ksurvcurves(time = veteran$time, status = veteran$status,
x = veteran$celltype, k = 2, algorithm = "kmeans")

summary(s2)


# Regression: 2 groups k-means
r2 <- kregcurves(y = barnacle5$DW, x = barnacle5$RC,
z = barnacle5$F, k = 2, algorithm = "kmeans")

summary(r2)



# }