plot.hazard: Plot functions

In mixPHM: Mixtures of proportional hazard models.

Description

Plotting functions for hazard rates, survival times and cluster profiles.

Usage

plot.hazard (x, gr.subset, var.subset, group = TRUE, xlim = NA, ylim = NA, xlab = "Survival Time", ylab = "Hazard Function", 
main = "Hazard Functions", type = "l", lty = 1, lwd = 1, col = NA, legpos = "right", ...)

plot.survival (x, gr.subset, var.subset, group = TRUE, xlim = NA, ylim = NA, xlab = "Survival Time", ylab = "Survival Function", 
main = "Survival Functions", type = "l", lty = 1, lwd = 1, col = NA, legpos = "right", ...)

plot.profile (x, method = "mean", type = "b", pch = 19, lty = 1, lwd = 1, col = NA, 
xlab = "Variables", leglab = NA, ylab = NA, main = NA, legpos = "topright", ...)

Arguments

x	object of class mws from phmclust
gr.subset	Optional vector for plotting subset of clusters
var.subset	Optional vector for plotting subset of variables
group	if TRUE hazard/survival plots are produced for each group, if FALSe for each variable
method	"mean" for cluster mean profile plot and "median" for cluster median profile plot
xlim	limits for x-axis
ylim	limits for y-axis
xlab	label for x-axis
ylab	label for y-axis
main	title of the plot
leglab	label for the legend
type	type of plot
lty	line type
lwd	line width
pch	type of plotting points
col	colors; if NA it is determined in the function
legpos	position of the legend; "topright","topleft","bottomright", "bottomleft","left","right","top", or "center"
...	Additional plot options

See Also

phmclust

Examples

##Plots for mixture Weibull model with 3 components
data(webshop)
res <- phmclust(webshop, 3)

##Hazard plot for first and third group, all pages
plot.hazard(res, gr.subset = c(1,3), group = TRUE, xlab = "Dwell-Time")

##Survival plot for each group, first 6 pages
plot.survival(res, var.subset= 1:6, group = FALSE, xlab = "Dwell-Time")

##Cluster profile plot
plot.profile(res, xlab = "Pages", ylab = "Mean Dwell-Time", main = "Cluster Profile")

mixPHM documentation built on May 2, 2019, 5:56 p.m.