Thanks, Allan, that did the trick :)
Best, Thomas
On Jun 28, 2010, at 6:13 PM, Allan Engelhardt wrote:
One approach:
d <- data.frame(x1=c(2,3,4,1,5,8), x2=c(4,1,6,4,6,5), time=1:6)
d$quarter <- (d$time-1) %/% 4 # Or whatever your logic is
aggregate(cbind(x1,x2) ~ quarter, data = d, sum)
# quarter x1 x2
# 1 0 10 15
# 2 1 13 11
Hope this helps
Allan
On 28/06/10 13:23, Thomas Jensen wrote:
Dear R Experts,
I have data in the following format
x1 x2 time
2 4 1
3 1 2
4 6 3
1 4 4
5 6 5
8 5 6
. . .
. . .
. . .
1 5 399
3 4 400
Time represents each month which simply has a number from 1 to 400
(i.e. the data covers 400 months). I would like to somehow create
two new variables which counts x1 and x2 as quarterly data in stead
of monthly. Like this:
x1 x1 Quarter
10 12 1
12 15 2
. . .
. . .
. . .
23 21 100
Can any one tell me how this can be done in R?
With kind regards,
Thomas Jensen
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