On Tue, Apr 29, 2008 at 11:03 PM, Louise Hoffman
<[EMAIL PROTECTED]> wrote:
> Dear readers,
>
> S-Plus have a rts function (Regular Time Series), which is used like so:
>
> fveks<-read.csv('http://louise.hoffman.googlepages.com/veks.csv',header=TRUE,sep=',')
> attach(fveks)
> acf(ts.intersect(rts(HC.f),rts(Ta.f),rts(GR.f),rts(W.f)))
>
> Warning the csv file is 750kB.
>
> Can the same be done in R?
>Try this: library(zoo) fn <- 'http://louise.hoffman.googlepages.com/veks.csv' z <- read.zoo(fn, header = TRUE, sep = ",", index.column = 2, aggregate = mean)[, -1] zt <- na.contiguous(as.ts(z[, grep("[.]f", colnames(z))])) acf(zt) Read the three zoo vignettes for more info. ______________________________________________ R-help@r-project.org 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.
