Handling time-series-Data
On Thu, Sep 11, 2008 at 3:37 AM, Kunzler, Andreas <a.kunzler at bzaek.de> wrote:
Dear List, I ran into some problems with time-series-Data. Imagine a data-structure where observations (x) of test attendants (i) are made a four times (q) a year (y). The data is orderd the following way: I y q x 1 2006 1 1 1 2006 3 1 1 2006 4 1 1 2007 1 1 1 2007 2 1 1 2007 3 1 1 2007 4 1 2 2006 1 1 3 2007 1 1 3 2007 2 1 I am looking for a way to count the attendants that at least have attendend one time a year. In this case 2 persons, because i=2 has no observation in 2007.
Don't you mean 1 person, not 2 persons, since - attendant 1 appears in both years but - attendant 2 appears only in 2006 - attendant 3 appears only in 2007 so only attendant 1 appears in both years, i.e. 1 person. Assuming DF is your data frame: u <- unique(DF[1:2]) with(u, sum(tapply(y, I, length) == length(unique(y)))) # 1
I thought about creating a subset with the duplicate function. But I can't find a way to control (i) and (y). subset(data, !duplicated(i[y])) Thanx so much Andreas Kunzler
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