Hi thanks for quick reply. I am new to using R and still tried to figure out how to use Zoo package.
Here is the code I have so far: library(zoo) colClasses <- c("NULL", "character", "character", "numeric", "character", "character", "NULL") col.names <- c(NA, "webpage", "item", "value", "day", "date", NA) # z <- read.zoo("myfile.dat", skip = 1, index = as.list(1:6), z <- read.zoo("C:\\Users\\Kevin\\Desktop\\testdata.csv", sep = ",", skip = 1, index = as.list(1:6), format = "%d/%m/%Y", col.names = col.names, aggregate = function(x) tail(x, 1), colClasses = colClasses) # extract all Thursdays and Fridays z45 <- z[format(time(z), "%w") %in% 4:5,] # keep last entry in each week # and show result on R console z45[!duplicated(format(time(z45), "%U"), fromLast = TRUE), ] I attached a reproducible dataset in excel http://r.789695.n4.nabble.com/file/n3031422/testdata.csv testdata.csv and I hope to get the results as follows. It would be great if I can get all days in Friday format as you suggested in the second approach the first time. Again your time and help is appreciated! webpage item value day date time MattDamon fans 642045 Thu 11-Jun-09 22:11:33 MattDamon fans 765057 Fri 19-Jun-09 12:37:09 MattDamon fans 899900 Sat 27-Jun-09 12:40:36 (no Fri or Thu, so I chose Sat) MattDamon views 642045 Thu 11-Jun-09 22:11:33 MattDamon views 765057 Fri 19-Jun-09 12:37:09 MattDamon views 887195 Fri 26-Jun-09 13:36:12 AngieeJolie fans 642045 Thu 11-Jun-09 22:11:33 AngieeJolie fans 765057 Fri 19-Jun-09 12:37:09 AngieeJolie fans 887195 Fri 26-Jun-09 13:36:12 AngieeJolie views 642045 Thu 11-Jun-09 22:11:33 AngieeJolie views 765057 Fri 19-Jun-09 12:37:09 AngieeJolie views 887195 Fri 26-Jun-09 13:36:12 -- View this message in context: http://r.789695.n4.nabble.com/How-to-extract-Friday-data-from-daily-data-tp3029050p3031422.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.