On 4/12/07, tom soyer <[EMAIL PROTECTED]> wrote: > Hi, > > I have time series data stored in csv files (see below for an example of the > data). I understand that in order to analyze my data in R, I need to first > transform it into a ts object. Howeve, I could not find an example on how > exactly to do that. Is ts the only function I need? What are the steps that > I need to go through to build a time series object from raw data like this? >
Try pasting this into an R session: Lines.raw <- "DATE,VALUE 1921-01-01,19.000 1921-02-01,18.400 1921-03-01,18.300 1921-04-01,18.100 1921-05-01,17.700 1921-06-01,17.600 1921-07-01,17.700 1921-08-01,17.700 1921-09-01,17.500 1921-10-01,17.500 1921-11-01,17.400 1921-12-01,17.300 1922-01-01,16.900 1922-02-01,16.900 1922-03-01,16.700 1922-04-01,16.700 1922-05-01,16.700 1922-06-01,16.700 1922-07-01,16.800 1922-08-01,16.600 1922-09-01,16.600 1922-10-01,16.700 1922-11-01,16.800 1922-12-01,16.900 " library(zoo) # replace next line with something like this: # z <- read.zoo("myfile.dat", header = TRUE, sep = ",") z <- read.zoo(textConnection(Lines.raw), header = TRUE, sep = ",") time(z) <- as.yearmon(time(z)) as.ts(z) ______________________________________________ [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 and provide commented, minimal, self-contained, reproducible code.