Dear R-users,
To test the effect of training (a time-varying qualitative
covariate) on the transition to management rate by means
of event history models, I would like to split my data by
the training date.
Excerpt of my data:
StatusN Duration DummyOtherEp TimingOtherTraining
1 0 1178 0 10000
2 1 45 0 10000
3 1 1209 0 10000
4 1 2235 1 250
5 0 2411 0 10000
With:
- StatusN: event (=1) or right-censored (=0).
- Duration: time until the transition to management or
until the end date of data collection.
- DummyOtherEp: whether someone had training during the
episode (=1).
- Timing other training: training date relative to the
beginning of the episode (employees without training
received the value 10000).
I tried to use survSplit to do the episode splitting, but
that does not work. E.g.:
split1 <-survSplit(babyfile,cut="TimingOtherTraining",
end="Duration", event="StatusN",
start="start", episode="i")
Does anyone know how to split episodes with qualitative
covariates in R? Thanks in advance.
Marleen Damman
______________________________________________
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
