Ajay Shah <ajayshah <at> mayin.org> writes: : : I have : : : raw <- read.table("monthly.text", skip=3, sep="|", : col.names=c("junk", "junk2", : "wpi", "g.wpi", "wpi.primary", "g.wpi.primary", : "wpi.fuel", "g.wpi.fuel", "wpi.manuf", "g.wpi.manuf", : "cpi.iw", "g.cpi.iw", "cpi.unme", "g.cpi.unme", : "cpi.al", "g.cpi.al", "cpi.rl", "g.cpi.rl")) : : Now I can do things like: : : g.wpi = ts(raw$g.wpi, frequency=12, start=c(1994,7)) : : and it works fine. One by one, I can make time-series objects. : : Is there a way to tell R that the entire data frame is a set of : time-series, so that I don't have to go column by column and make a : new ts() out of each? : : I tried: : : M = ts(raw, frequency=12, start=c(1994,7)) : ts.plot(M[,"wpi"], M[,"wpi.manuf"]) : : but this gives nonsense results.
Converting a data frame to a ts object seems to work for me: R> my.df <- data.frame(a = 1:4, b = 5:8) R> my.ts <- ts(my.df, start=c(2000,4), freq=12) R> my.ts.a <- my.ts[,"a"] R> my.ts.a Apr May Jun Jul 2000 1 2 3 4 Suggest you provide a small reproduceable example that illustrates the problem. : Also, syntax like M$wpi is a lot : nicer than M[,"wpi"]. Any ideas about what might work? R> "$.ts" <- function(x, i) x[,i] R> my.ts$a Apr May Jun Jul 2000 1 2 3 4 ______________________________________________ [EMAIL PROTECTED] mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html