Dear all,
I have several text files looking like this:
9063032 19700201 22:00 174.067
9063032 19700201 23:00 174.076
9063032 19700202 00:00 174.085
9063032 19700202 01:00 174.091
9063032 19700202 02:00 174.094
9063032 19700202 03:00 174.091
9063032 19700202 04:00 174.082
9063032 19
Hello Gabor,
I just tried dput() and it seems that running aggregate deletes the
following information from zoo objects:
origin = structure(c(1, 1, 1970))
So before merging I added:
chron(index(z),origin=c(1,1,1970))->index(z)
which solves my problem.
Is that behaviour of aggregate.zoo intended
Hello Gabor,
thanks for your reply. Please excuse the insufficient description of my
problem. I hope this one is better:
#Importing my data works basically like this
dts <-
dates(c("19700201","19700201","19700201","19700202","19700202"),format="ymd")
tms <- times(paste(c("21:00", "22:00", "23:00"
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