Hi,
If you don't want the column "Tool" to be repeated, try this: dat1<-read.table(text=" Tool Step_Number Data1 Data2 A 1 0 1 A 2 3 1 A 3 2 1 B 1 3 2 B 2 1 2 B 3 3 2 ",sep="",header=TRUE,stringsAsFactors=FALSE) with(dat1,aggregate(cbind(Data1,Data2),list(Tool=Tool),function(x) x)) Tool Data1.1 Data1.2 Data1.3 Data2.1 Data2.2 Data2.3 #1 A 0 3 2 1 1 1 #2 B 3 1 3 2 2 2A.K. ----- Original Message ----- From: siddu479 <onlyfordigitalst...@gmail.com> To: r-help@r-project.org Cc: Sent: Sunday, October 14, 2012 12:13 PM Subject: [R] transforming a .csv file column names as per a particular column rows using R code 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.
