Hi TLowe,
I'm not quite sure if I understand what you are trying to do. If you
are trying to get the cumulative sum of your data frame along each
column you can simply do
rcumsum=function(x){cumsum(x)/sum(x)}
apply(tdat,2,rcumsum)
Yet that is not what your code is doing. With a bit of clarification I
may help you some more.
Julian
TLowe 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
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