ComparisonSurv (version 1.1.1)

Hazard.plot: Plot for Kernel-Based Hazard Function

Description

A function used to plot the hazard functions. The hazard functions are estimated from right censored data using kernel-based methods.

Usage

Hazard.plot(time,status,group,max.0=NULL,max.1=NULL
            ,col=c(1,4),lwd=c(1,1),lty=c(1,1)
            ,lab.x="",lab.y="",legend=FALSE
            ,local.x=NULL,local.y=NULL,legend.0="",legend.1="")

Value

None

Arguments

time

The follow up time for right censored data.

status

The status indicator, normally 1=event, 0=alive or right censored.

group

The group indicator for comparison, and the elements of this vector must take either 0 or 1. Normally, 0= control group, 1= treatment group.

max.0

A numeric value of the maximum horizontal plot coordinate in control group. The default value is max.0=NULL.

max.1

A numeric value of the maximum horizontal plot coordinate in treatment group. The default value is max.0=NULL.

col

A vector of integers specifying colors for each group. The default value is c(1,4).

lwd

A vector of numeric values for line widths. The default value is c(1,1).

lty

A vector of integers specifying line types for each curve. The default value is c(1,1).

lab.x

Label given to the x-axis.

lab.y

Label given to the y-axis.

legend

An indicator variable for adding a legend. If it is present this implies legend=FALSE.

local.x

Changed the x-axis scale for the legend if legend=TRUE.

local.y

Changed the y-axis scale for adding a legend if legend=TRUE.

legend.0

Label given to the control group if legend=TRUE.

legend.1

Label given to the treatment group if legend=TRUE.

See Also

Survival.plot,Cumhazard.plot

Examples

#get 'Crossdata' from package
data(Crossdata)
data1<-Crossdata
#
#get kernel smooth hazard plot
Hazard.plot(data1$time, data1$status, data1$group, max.0=NULL,max.1=NULL
            , lab.x='Time', lab.y='Smooth hazard ratio'
            , col=c(1,4), lwd=c(3,3), lty=c(1,1), legend=TRUE, local.x=2.7, local.y=1.25
            , legend.0='group0', legend.1='group1')