stephen sefick wrote: > I have two dataframes in R that were tab seperated .txt files > > y<-read.table("foo.txt", header=T) > x<-read.table("foo.txt", header=T) > > these are set up like this: > > Datetime Temp > 01/01/07 00:01 11.5 > 01/01/07 00:16 11.6 > > etc etc to 66000 rows in y and 33000 rows in x > > The two files overlap with the same data for a period of time but > contain different values outside of these. Is there a way to merge > these two data sets based on the shared date time column into one > large dataset of ~90,000 lines. I want to eventually make this into a > time series with frequency= 1/15.
Have you tried ?merge. Uwe Ligges > Thanks > > Stephen ______________________________________________ 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.