Generic function used to sample a subset of data from an object of class mjoint with a specific number of subjects.
sampleData(object, size =NULL, replace =TRUE)
Arguments
object: an object inheriting from class mjoint for a joint model of time-to-event and multivariate longitudinal data.
size: number of subjects to include in the sampled subset. If size=NULL (default), then size is set equal to the number of subjects used to fit the mjoint model.
replace: use replacement when sampling subjects? Default is TRUE. If replacement is used, then the subjects are re-labelled from 1 to size.
Returns
A list of 2 data.frames: one recording the requisite longitudinal outcomes data, and the other recording the time-to-event data.
Details
This function is primarily intended for internal use in the bootSE function in order to permit bootstrapping. However, it can be used for other purposes given a fitted mjoint object.
Examples
## Not run:# Fit a joint model with bivariate longitudinal outcomesdata(heart.valve)hvd <- heart.valve[!is.na(heart.valve$log.grad)&!is.na(heart.valve$log.lvmi),]fit2 <- mjoint( formLongFixed = list("grad"= log.grad ~ time + sex + hs,"lvmi"= log.lvmi ~ time + sex), formLongRandom = list("grad"=~1| num,"lvmi"=~ time | num), formSurv = Surv(fuyrs, status)~ age, data = list(hvd, hvd), inits = list("gamma"= c(0.11,1.51,0.80)), timeVar ="time", verbose =TRUE)sampleData(fit2, size =10)## End(Not run)