Gabor suggested something along the lines of
z <- ts(rnorm(25),start=as.numeric(chron("01/25/99")))
and then get back the times like this:
chron(time(z))
To plot it:
plot(chron(time(z)),z)Patrick and Giles suggested using the its library. In case anyone is interested, the following code created the time series that I needed:
# Creating dates to associate with the time series dates.p33<-seq.dates(from="10/01/1952", length=dim(stageP33)[1], by="days"); # The next line insures that the dates start in 1952 rather than 2052 dates.p33<-format(as.POSIXct(dates.p33+1), "%m/%d/%Y")
# Combining dates with data p33.its<-its(x=as.matrix(stageP33),
dates=as.POSIXct(x=strptime(as.character(dates.p33),format="%m/%d/%Y")),
names=dimnames(stageP33)[[2]],format=its.format())I don't claim that is the best way to do it. Also note that this required the its and chron libraries.
With regards, Brian
______________________________________________ [EMAIL PROTECTED] mailing list https://www.stat.math.ethz.ch/mailman/listinfo/r-help
