Here is one solution; mine differs since there should be at least one
item in the range which would be itself:
tm gr
1 12345 1
2 42352 3
3 12435 1
4 67546 2
5 24234 2
6 76543 4
7 31243 2
8 13334 3
9 64562 3
10 64123 3
> d$ct <- ave(d$tm, d$gr, FUN = function(x){
+ # de
have nobody any idea?
i have already try with tapply(d,gr, ... ) but i have problems with the
choose of the function ... also i am not really sure if that is the right
direction with tapply ...
it'll be really great when somebody comes with new suggestion..
10x
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sry,
new try:
tm<-c(12345,42352,12435,67546,24234,76543,31243,13334,64562,64123)
gr<-c(1,3,1,2,2,4,2,3,3,3)
d<-data.frame(cbind(time,gr))
where tm are unix times and gr the factor grouping by
i have a skalar for example k=500
now i need to calculate in for every row how much examples in the g
On Feb 25, 2011, at 8:28 PM, zem wrote:
hi all,
i have a little problem, i have some code writen, but it is to slow...
i have a dataframe with a column of time series and a grouping column,
really there is no metter if in the first col what kind of data is,
it can
be a random number like
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