Dear Dennis,
I appreciate your time.
I studied and implemented
your recommendation and is exactly what I needed.
I was in an unproductive
loop in this.
Thank you very much,
Jose
> Date: Wed, 27 Jul 2011 14:28:51 -0700
> Subject: Re: [R] create a index.date column
> From: djmu...@
Hi:
I prefer to use one of the summarization packages for this sort of
thing, but aggregate() works, too. Here are two versions of the same
idea:
# Uses ddply() in the plyr package:
index.date <- function(d) {
require('plyr')
out1 <- ddply(d, .(id, rcat), summarise, index = max(tdiff))
Dear
R users,
I
created a matrix that tells me the first day of use of a category by
id.
#Calculate
time difference
test$tdiff<-as.numeric(difftime(as.Date("2002-09-01"), test$ftime, units =
"days"))
#
obtain the index date per person and dcategory
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