Is this basically what you want to do? (Please include commented,
minimal, self-contained, reproducible code so we don't have to guess
at what you want)
> x <- data.frame(a=runif(10), b=runif(10))
# do for one column
> cumsum(x$a)/sum(x$a)
[1] 0.05892073 0.08129611 0.11067218 0.28640268 0.28969826 0.44477544
0.55195101 0.76500220 0.85234025
[10] 1.00000000
>
If this is the case, you can extend it.
On Dec 6, 2007 9:02 AM, TLowe <[EMAIL PROTECTED]> wrote:
>
> Hey Folks,
>
> Could somebody help me rewrite the following code?
>
> I am looping through all records across 5 fields to calculate the cumulative
> percentage of each record (relative to each individual field).
>
> Is there a way to rewrite it so I don't have to loop through each individual
> record?
>
> ##### tdat is my data frame
> ##### j is my field index
> ##### k is my record index
> ##### tsum is the sum of all values in field j
> ##### tmp is a vector containing the values in field j
> ##### tdat[k,paste("cpct,j,sep="")] creates new fields "cpct1",...,"cpct5"
>
>
> for(j in 1:5) {
> tsum<- sum(tdat[,j]);
> for(k in 1:nrow(tdat)) {
> td<- tdat[k,j];
> tmp<-tdat[,j];
> ##### sum values <= to current value and divide by the total sum
> tdat[k,paste("cpct,j,sep="")]<- sum(tmp[tmp <= td]) / tsum;
> }
> }
>
>
> Thanks,
> TLowe
> --
> View this message in context:
> http://www.nabble.com/Help-rewriting-looping-structure--tf4957267.html#a14196412
> Sent from the R help mailing list archive at Nabble.com.
>
> ______________________________________________
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> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
>
--
Jim Holtman
Cincinnati, OH
+1 513 646 9390
What is the problem you are trying to solve?
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