Suppose I have multiple time series with names for each one, for example, x <- ts(matrix(rnorm(30,0,1),10,3), names=c("Juan", "Tuey", "Trey"), frequency=4)
So now, as I start to explore these series, if I do everything at once, the names stay attached to the series. For example, plot(x) # gives a plot of the series with their names acf(x) # gives the ACFs & CCFs with names attached But if I want to explore what's going on with Juan, from what I can gather, I have to do something like this plot(x[,1]) (or acf(x[,1])... or similar things) but this doesn't keep the name Juan. My question: Is there a way, without making a data frame [which seems to destroy the time series attributes(??) - this seems to be the only answer I can find on Rhelp] that allows me to keep track of the names? That way, for example, I don't have to remember that the 18th series is Martha. x$Juan, x$Tuey, x$Trey, would be nice ... but that doesn't work. Thanks in advance. ----- The power of accurate observation is commonly called cynicism by those who have not got it. George Bernard Shaw -- View this message in context: http://www.nabble.com/Multiple-time-series-and-their-names-tp25725411p25725411.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ 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.