Hi Pedro, Will this be sufficient? ppdf<-read.table(text="Name ; Surname; Code; age; CP; \r\n Oscar ; example ; 1; 42; 4857; \r\n Maria; Ex3; 2; 33; 879;\r\n Luz; pruve; 1; 42; 4785; \r\n", header=TRUE,sep=";",stringsAsFactors=FALSE) write.csv(ppdf[ppdf$age==1,1:5],file="ppdf1.csv") write.csv(ppdf[ppdf$age==2,1:5],file="ppdf2.csv")
Jim On Sat, May 16, 2020 at 8:36 PM Pedro páramo <percentil...@gmail.com> wrote: > > Hi all, > > For many years I have left R in my daily task but I have returned. > > I write to try to get your help on what function look for to program the > next: > > My data file is a csv file with lots of data and at the end it ends > with \r\n > > Imagine > > Name ; Surname; Code; age; CP; \r\n > Oscar ; example ; 1; 42; 4857; \r\n > Maria; Ex3; 2; 33; 879;\r\n > Luz; pruve; 1; 42; 4785; \r\n > > > I want to run a function that detects all different items in Code in this > case "1" and "2" and output two files named "1.csv or txt" and "2.csv or > txt" and in this file contain the rows withs all items where Code is 1 and > so on. > > The thing is thar I dont know exactly how many different codes are there, > so the programm should "count them" and extract the differents codes and > output the equivalent files of the same kind of code. > > It is possible with R? I use big files (and in excel is tedious). > > Can you suggest some functions to analyse and to achieve my goal? > > Many thanks in advance > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see > 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 -- To UNSUBSCRIBE and more, see 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.
