Split a data set and run function from timereg and aggregate
Split a data set and run function of cox-aalen type and aggregate results
divide.conquer.timereg(func = NULL, data, size, ...)
func |
called function |
data |
data-frame |
size |
size of splits |
... |
Additional arguments to lower level functions |
Thomas Scheike, Klaus K. Holst
library(timereg)
data(TRACE)
a <- divide.conquer.timereg(prop.odds,TRACE,
formula=Event(time,status==9)~chf+vf+age,n.sim=0,size=200)
coef(a)
a2 <- divide.conquer.timereg(prop.odds,TRACE,
formula=Event(time,status==9)~chf+vf+age,n.sim=0,size=500)
coef(a2)
if (interactive()) {
par(mfrow=c(1,1))
plot(a,xlim=c(0,8),ylim=c(0,0.01))
par(new=TRUE)
plot(a2,xlim=c(0,8),ylim=c(0,0.01))
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