Hi, First, thank you. It 'almost' works: I can convert a matrix to a 'zoo' object, but it can not convert it to a 'ts'.
The sitruation is this: I load a set of samples with > h_types <- list (0, 0, character(0), character(0), 0, 0, 0, 0, 0) > h_names <- list ("time", "flow", "type", "dir", "seq", "ts", "x", "rtt", "size") > pcks_file <- pipe ("grep ' P ' server.dat"), "r") > pcks <- scan (pcks_file, what = h_types, comment.char = '#', > fill = TRUE) Read 1429 records > mat <- data.frame (pcks) > colnames (mat) <- h_names > mat time flow type dir seq ts x rtt size 1 1.000893 0 P + 0 1.000893 1472 0.000000 1472 2 1.514454 0 P + 1 1.514454 2944 0.513142 1472 3 2.015093 0 P + 2 2.015093 2944 0.513142 1472 4 2.515025 0 P + 3 2.515025 4806 0.504488 1472 5 2.821976 0 P + 4 2.821976 5730 0.496728 1472 6 3.078931 0 P + 5 3.078931 5832 0.489744 1472 7 3.331897 0 P + 6 3.331897 5832 0.489744 1472 [...] 1425 176.925504 0 P + 1424 176.925504 12141 0.764699 1472 1426 177.039489 0 P + 1425 177.039489 12141 0.764699 1472 1427 177.153469 0 P + 1426 177.153469 12141 0.764699 1472 1428 177.267464 0 P + 1427 177.267464 12141 0.764699 1472 1429 177.381434 0 P + 1428 177.381434 12141 0.764699 1472 Then I convert it to a 'zoo', removing the 'time' column from the input > last_col <- ncol (mat) > range_cols <- 2:last_col > matrix_values <- mat [,range_cols] > z <- zoo (matrix_values, mat $ time) So far, everything is fine. But then I need to apply a function to samples taken every t seconds, ie, the mean every 10 seconds. And, AFAIK, rapply needs a constant 'width', something that can only be obtained with regular time series... But if I try to get a 'ts' object from my 'zoo' I get > as.ts (z) Error in if (del == 0 && to == 0) return(to) : missing value where TRUE/FALSE needed Ummm, do you know if there is any error in my 'zoo' object? Has it the right format? Or, could I avoid the conversion and use the 'rapply' function but on time intervals (instead of points intervals)? Thank you very much. Alvaro On 12 Dec 2005, at 16:31, Gabor Grothendieck wrote: > First we generate some sample data x and its times tt. > Then using the zoo package we create an irregularly > spaced time series. Now if you want a regularly spaced > time series convert it to ts class. After loading zoo as > shown below, the R command vignette("zoo") gives more info. > > x <- 1:4 > tt <- c(1, 3, 4, 6) > > library(zoo) > x.zoo <- zoo(x, tt) # irregularly spaced time series > x.ts <- as.ts(x.zoo) # regular time series with NAs > > > On 12/12/05, Alvaro Saurin <[EMAIL PROTECTED]> wrote: >> >> Hi, >> >> I am a R begginer and I have a small problem with time series. I was >> wondering if someone could help me >> >> I am collecting data from packets going through a network, and using >> R for obtaining some simple statistics of connections. However, my >> data is not collected at a constant frequency, so I would like to >> create a evenly spaced TS from my traces, using the minimum time >> difference between two samples as the period for my new TS, and >> filling the gaps with NA (or 0s). >> >> I think ther must be some simple solution for this... Anyone could >> help me? >> >> Thanks in advance. >> >> -- >> Alvaro Saurin <[EMAIL PROTECTED]> <[EMAIL PROTECTED]> >> >> ______________________________________________ >> R-help@stat.math.ethz.ch mailing list >> https://stat.ethz.ch/mailman/listinfo/r-help >> PLEASE do read the posting guide! http://www.R-project.org/posting- >> guide.html >> -- Alvaro Saurin <[EMAIL PROTECTED]> <[EMAIL PROTECTED]> ______________________________________________ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html