kmplt_svrl: A function that plots the KM curves of $2-3$ patient sets in...
In RCASPAR: A package for survival time prediction based on a piecewise baseline hazard Cox regression model.

Description Usage Arguments Details Value Author(s) References See Also Examples

This function can plot the KM curves estimated for $2-3$ patients simultaneously for sake of easier comparison.

1	kmplt_svrl(all, long, short, title)

`all`	Data for the first set of patients; usually the complete set of patients, but could be any other.It is a data frame containing at least the two columns “censored” and “True_STs”. Where “censored” contains the censorship status of the subject as either “0/F” for uncensored subjects or “1/T” for censored subjects. This information is essential to be able to plot the KM curve.
`long`	Data for the second set of patients; in our case the group of patients who survived at least up to the cut off value passed to the predictor. It has essentially the same structure as “all”
`short`	Data for the third and last set of patients; in our case the group of patients who survived less than the cut off value passed on to the predictor. It essentially has the same structure as the two other arguments.
`title`	The main title for the plot.

This function essentially is the same as kmplt but does the same for up to $3$ plots simultaneously.

A plot with all $2-3$ KM curves.

Douaa Mugahid

http://www.bmj.com/statsbk/12.dtl

kmplt

censored <- c(1, 0, 1, 1, 1, 0, 1, 0, 0, 0)
True_STs <- c(1, 4, 5, 4, 6, 3, 2, 1, 3, 4)
dat1 <- as.data.frame(cbind(True_STs, censored))
censored <- c(1, 0, 1, 0, 1, 0, 1, 0, 1, 1)
True_STs <- c(7, 7, 8, 5, 9, 11, 8, 11, 10, 6)
dat2 <- as.data.frame(cbind(True_STs, censored))
censored <- c(1, 0, 1, 1, 1, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 1)
True_STs <- c(1, 4, 5, 4, 6, 3, 2, 1, 3, 4, 7, 7, 8, 5, 9, 11, 8, 11, 10, 6)
dat3 <- as.data.frame(cbind(True_STs, censored))
kmplt_svrl(all=dat3, long=dat2, short=dat1, title="KM of predictions")