I think this is a very vague question. If you are exporting to some other software, csv is probably a very good choice, unless there is something more specific about that software.
As for "manual", I think we left the scribes in the middle ages. R is eminently scriptable for automating tasks, but I know nothing of your workflow, so I think the ball is in your court. --------------------------------------------------------------------------- Jeff Newmiller The ..... ..... Go Live... DCN:<jdnew...@dcn.davis.ca.us> Basics: ##.#. ##.#. Live Go... Live: OO#.. Dead: OO#.. Playing Research Engineer (Solar/Batteries O.O#. #.O#. with /Software/Embedded Controllers) .OO#. .OO#. rocks...1k --------------------------------------------------------------------------- Sent from my phone. Please excuse my brevity. jpm miao <miao...@gmail.com> wrote: >Hello, > > I work with time series data. From time to time I run programs to >produce results that are in time series form (e.g., quarterly or >monthly >data). After a few days I might need to access part of the results and >to >run another program. Is there any function or package (like dataframe >or >zoo?) that might help so that I don't need to copy the results manually > to >a csv or xls file? > > If the data are not time series (just indexed by 1, 2,3), is there any >function that can help? > > Thanks, > >Miao > > [[alternative HTML version deleted]] > >______________________________________________ >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. ______________________________________________ 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.