Hello, Try the following.
dta1 <- read.csv( text= "Tool,Step_Number,Data1,Data2 A,1,0,1 A,2,3,2 A,3,2,3 B,1,3,2 B,2,1,2 B,3,3,2 ") sp <- split(dta1[-2], dta1$Tool) dta2 <- do.call(rbind, lapply(sp, function(x) as.vector(unlist(t(x))))) dta2 <- data.frame(dta2, stringsAsFactors = FALSE) idx <- rep(c(FALSE, TRUE, TRUE), ncol(dta2) %/% 3) dta2[, idx] <- sapply(dta2[, idx], as.integer) Hope this helps, Rui Barradas Em 14-10-2012 17:13, siddu479 escreveu:
Hello all, I have a .csv file like below. Tool,Step_Number,Data1,Data2... etc up to 100 columns. A,1,0,1 A,2,3,1 A,3,2,1 . . B,1,3,2 B,2,1,2 B,3,3,2 . . ...... so on upto 50 rows where the column "*Tool*" has distinct steps in second column "*Step_Number*",but both have same entries in Step_Number column. I want the output like below. Tool_1,Data1_1,Data2_1,Tool_2,Data1_2,Data2_2,Tool_3,Data1_3,Data2_3... so on A,0,1,A,3,1,A,2,1 B,3,2,B,1,2,B,3,2 ...... so on. basically I am transposing entire data based on a specific column row values and renaming the column headers. I have a shell script based on awk which can do this task, but the script is taking exceptionally higher processing time. So I am looking for a script in R which can save the time. "Please revert to me if the problem description is not clear." Regards Sidda ----- Sidda Business Analyst Lead Applied Materials Inc. -- View this message in context: http://r.789695.n4.nabble.com/transforming-a-csv-file-column-names-as-per-a-particular-column-rows-using-R-code-tp4646137.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.
______________________________________________ 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.
