Dear all,
I am using the function ?unfold? from the ?RcmdrPlugin.survival? to convert
my time-varying covariates dataset from wide to long. I managed to have it
working for my data.
However, the problem I have is that the observations after an event, won?t
be dropped from the dataset. For example, see the dataframe below: the event
occurs at 1.2 (event.time=1), but the 1.3 to 1.6 will remain in the dataset.
I did not find in the 'unfold' function an option to drop them, but I
was
probably not looking well.
>From the Rossi dataset example, I saw that observations following event were
dropped, and I understood this might be because the values of the
time-varying covariates are NA, after the event.
In my case, all time-varying covariates still have values, even after the
event, because they were extracted from a very large number of environmental
raster files; so I guess the function ?unfold? sees them as observations
being at risk again.
Do you know/is there any way, to get rid of these remaining observations
(1.3 to 1.6)?
start stop event.time id_cell month rvf_bin lake month_rain month_veg
1.1 0 1 0 1 2 1 2.5 23 21
1.2 1 2 1 1 2 1 2.5 56 66
1.3 2 3 0 1 2 1 2.5 3 11
1.4 3 4 0 1 2 1 2.5 12 21
1.5 4 5 0 1 2 1 2.5 11 20
1.6 5 6 0 1 2 1 2.5 21 35
2.1 0 1 0 2 NA 0 2.5 12 22
Many thanks for your advice,
Best regards,
Rapha
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