Hi Tal, thank you very much for your reply. The xts-dataframe I am using is like:
example <- as.data.frame(structure(c(" 1", " 2", " 1", " 2", " 1", " 1", " 2", " 1", " 2", " 1", " 2", " 3", " 1", " 1", " 2", " 2", " 3", " 1", " 2", " 2", " 1", " 2", " 1", " 1", " 2", NA, " 2", NA, NA, " 1", " 3", " 1", " 3", " 3", " 2", " 3", " 3", " 3", " 2", " 2", " 2", " 3", " 3", " 3", " 2", " 2", " 3", " 3", " 3", " 3", " 1", " 2", " 1", " 2", " 2", " 1", " 2", " 1", " 2", " 2", " 2", " 3", " 1", " 1", " 2", " 2", " 3", " 3", " 2", " 2", " 1", " 2", " 1", " 1", " 2", NA, " 2", NA, NA, " 1", " 3", " 2", " 3", " 2", " 0", " 3", " 3", " 3", " 2", " 0", " 2", " 3", " 3", " 3", " 0", " 2", " 2", " 3", " 3", " 0", "12", " 5", " 9", "14", " 5", "tra", "tra", "man", "inf", "agc", "07-2011", "07-2011", "07-2011", "07-2011", "07-2011" ), .indexCLASS = c("POSIXlt", "POSIXt"), .indexTZ = "", class = c("xts", "zoo"), .indexFORMAT = "%U-%Y", index = structure(c(1297642226, 1297672737, 1297741204, 1297748893, 1297749513), tzone = "", tclass = c("POSIXlt", "POSIXt")), .Dim = c(5L, 23L), .Dimnames = list(NULL, c("rev_sit", "prof_sit", "emp_nr_sit", "inv_sit", "ord_home_sit", "ord_abr_sit", "emp_cost_sit", "usage_cost_sit", "tax_cost_sit", "gov_cost_sit", "rev_exp", "prof_exp", "emp_nr_exp", "inv_exp", "ord_home_exp", "ord_abr_exp", "emp_cost_exp", "usage_cost_exp", "tax_cost_exp", "gov_cost_exp", "land", "nace", "index")))) What I want to do know is to use the category values from "land" and "nace", count the occurence of {1,2,3} (these were answering options in the survey) in the variables and aggregate the whole thing to calendar weeks (the observations are in a not even frequency distributed over calendar weeks). i achieved to do this with a normal data frame but then the data is not in the right time order. I used this command (i.e. for the first variable and the answering option 1): pos <- as.data.frame(tapply((example[,1]==3)*1, list(example$index, example$land, example$nace), sum)) If I use this same command for a xts data frame it gives me the following warning: "some methods for “zoo” objects do not work if the index entries in 'order.by' are not unique". example$index was produced by myself with the normal time commands because i couldn't find not other way to get near to the results i am wanting. The result for Variable 1 (i.e.) should look like this: <table border="1"> <tr> <th> . </th> <th>nace.land</th> <th>nace.land</th> <th>nace.land</th> <th>nace.land</th> </tr> <tr> <th> 10-1995</th> <th>32</th> <th>45</th> <th>10</th> <th>9</th> </tr> <tr> <th> 15-1995</th> <th>2</th> <th>47</th> <th>5</th> <th>6</th> </tr> </table> where line 2 gives the observations of answering option 1 in the 10th calendar week 1995 for the respective region (land) and the respective sector (nace). It would be absolutely nice if you could help me with this! Best regards, Andreas Karpf -- View this message in context: http://r.789695.n4.nabble.com/Splitting-up-large-set-of-survey-data-into-categories-tp4323327p4324340.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.