length of object in repeated measures
This should do it for you:
x <- read.table('clipboard', header=TRUE)
x
Id age mass 1 1 1 5.4 2 1 3 6.2 3 1 15 10.0 4 2 3 8.1 5 2 10 12.8 6 3 2 5.9 7 3 10 7.1 8 3 15 15.4 9 3 17 16.2
x$NoCap <- ave(x$Id, x$Id, FUN=length) x
Id age mass NoCap 1 1 1 5.4 3 2 1 3 6.2 3 3 1 15 10.0 3 4 2 3 8.1 2 5 2 10 12.8 2 6 3 2 5.9 4 7 3 10 7.1 4 8 3 15 15.4 4 9 3 17 16.2 4
On Mon, Feb 9, 2009 at 7:36 AM, clion <birte_2 at hotmail.com> wrote:
Hi there. I collectad data of several animals (Id) that were caught and measured at several occasions. The dataframe looks like this: Grouped Data: mass ~ age | Id Id age mass 1 1 5.4 1 3 6.2 1 15 10.0 2 3 8.1 2 10 12.8 3 2 5.9 3 10 7.1 3 15 15.4 3 17 16.2 Now, I would like to add a column that shows the number of captures per Animal (so it'll look like this:) Id .... NoCaps 1 .... 3 1 .... 3 1 .... 3 2 .... 2 2 .... 2 3 .... 4 3 .... 4 .... I understand that with tapply(Id,Id, length) I can find out how many times each animal was caught, but how do I get this information into an extra column? I'm sure, this is an easy question, but I'm lost, where to find the answer, or especially where to look it up. if this is not a new question, please give me the key words to look for it... thanks in advance -- View this message in context: http://www.nabble.com/length-of-object-in-repeated-measures-tp21911978p21911978.html Sent from the R help mailing list archive at Nabble.com.
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