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
Extracting files per types of data file
3 messages · Pedro páramo, Jim Lemon
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 p?ramo <percentil101 at 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 at 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.
Its perfect??? Many thanks to all. El s?b., 16 may. 2020 a las 12:46, Jim Lemon (<drjimlemon at gmail.com>) escribi?:
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 p?ramo <percentil101 at 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 at 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.