Hi Benjamin!
##TRY THIS: THIS MAYBE MUCH FASTER, BECAUSE ONLY WORK WITH THE IMPORTANAT
ROWS - HOPE NO ERROR IN IT:D
puffer1 <- as.matrix(sdata$value)
puffer2 <- rbind(as.matrix(puffer1[2:nrow(puffer1),1]),0)
speedy <- puffer1 > puffer2
speedy <- (as.matrix(which(puffer1==TRUE)))+1
sdata$ddtd[]=0
for(cnt in 1:nrow(speedy))
{
sdata$ddtd[speedy[cnt,1]] <- sdata$ddtd[(speedy[cnt,1]) - 1] +
sdata$value[(speedy[cnt,1]) - 1] -sdata$value[speedy[cnt,1]]
}
return(sdata)
#Zoltan
2007/1/8, Benjamin Dickgiesser <[EMAIL PROTECTED]>:
>
> Hi,
>
> is it possible to do this operation faster? I am going over 35k data
> entries and this takes quite some time.
>
> for(cnt in 2:length(sdata$date))
> {
>
> if(sdata$value[cnt] < sdata$value[cnt - 1]) {
> sdata$ddtd[cnt] <- sdata$ddtd[cnt - 1] +
> sdata$value[cnt - 1] -
> sdata$value[cnt]
> }
> else sdata$ddtd[cnt] <- 0
>
> }
> return(sdata)
>
> Thank you,
> Benjamin
>
> ______________________________________________
> [email protected] mailing list
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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.
>
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