Thanks Jim for your reply. I've split the dataset into indices but am now
having problem with my function. The function I need to use is in two parts:
> H.scv <- Hscv(idh, pilot = "unconstr") ## commands from the ks package
>
> KDE <- kde(idh, H=H.scv, approx.cont=TRUE)
I've tried to write these as a function separately to be applied within the
sapply():
myfun <- function(x){
H.scv <- Hscv(idh, pilot = "unconstr")
KDE <- kde(idh, H=H.scv, approx.cont=TRUE)
}
HR <- sapply(idh, myfun)
However, the first part of my function (H.scv) doesn't recognise the idh
(when applied within the sappily or on its own). Is there anyway to write
the code so that it would recognise each indices? I.e ID = 1, day =1, hour
=0 so indices number is 1.1.0 and then H.scv would be Hscv(1.1.0, pilot =
"unconstr")?
Basically I need to be able to use the Hscv and kde test for each hour of
each day for each ID that I have and can't get the tests (functions) to
recognise the input at the moment (Hscv input must be a vector or matrix).
Thanks,
Kate
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