i think you can add 1 to whatever series you are considering and then use cumprod() but check that that works. also do ?cumprod
----- Original Message ----- From: <[EMAIL PROTECTED]> To: <r-help@stat.math.ethz.ch> Sent: Thursday, August 31, 2006 4:22 PM Subject: [R] cumulative growth rates indexed to a common starting point over n series of observations > What is the R way of computing cumulative growth rates given a series of > discrete values indexed . > > For instance, given a matrix of 20 observations for each of 5 series (zz), > what is the most straight forward technique in R for computing cumulative > growth (zzcum) ? > It seems for the solution I'm after might be imbedding the following cum > growth rate calc as a function into a function call to apply, mapply, ...? > > > > zz = rnorm(100) > dim(zz) = c(20,5) > zz > zzcum=matrix(nrow=20,ncol=5) > zzcum > zzcum[1,]=100*(1+zz[1,]/100) > zzcum > for(i in 2:20){zzcum[i,] = zzcum[i-1,]*(1+zz[i,]/100)} > zzcum > > > > > > ------------------------------------------------------------ > CONFIDENTIALITY NOTICE: This electronic mail transmission (i...{{dropped}} > > ______________________________________________ > R-help@stat.math.ethz.ch mailing list > 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. > ______________________________________________ R-help@stat.math.ethz.ch mailing list 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.