[R] R Newbie, please help!

[Jeff08]

Hey Josh,

Thanks for the quick response!

I guess I have to switch from the Java mindset to the matrix/vector mindset
of R.

Your code worked very well, but I just have one problem:

Essentially I have a time series of stock A, followed by a time series of
stock B, etc.
So there are break points in the data (the points where it switches stocks
have incorrect returns, and should be NA at t=0 for each stock)

Is there an easy way to account for this in R? What I was thinking of is if
there is a way to make a filter rule. Such as if the ID of the row matches
Stock A, then perform this.

>>"Hello Jeff,

Try this:

test <- data.frame(totret=rnorm(10^7)) #create some sample data
test[-1,"dailyreturn"] <- test[-1,"totret"]/test[-nrow(test),"totret"]

The general idea is to take the column "totret" excluding the first 1,
dividided by "totret" exluding the last row.  This gives in effect t+1
(since t is now shorter)/t

I assigned the result to a new column "dailyreturn".  For 10^7 rows,
it tooks 1.92 seconds on my system."
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