[R] Extracting files per types of data file

[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 páramo <percentil101 using 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
>
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>
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