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 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! http://r.789695.n4.nabble.com/file/n3031420/testdata.csv testdata.csv 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-tp3029050p3031420.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.