It seems like the ?diff function might be useful here, but without a reproducible example (at the very least some data provided as dput output and results of your Excel calculations for that data) we would have to guess quite a bit and likely be wrong. Take the recommendations at [1] to heart and give us a better picture of your problem and attempted solution.
[1] http://stackoverflow.com/questions/5963269/how-to-make-a-great-r-reproducible-example --------------------------------------------------------------------------- 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. On May 6, 2015 3:21:27 AM PDT, Shivi82 <shivibha...@ymail.com> wrote: >Hi All, >I have data based on truck load for various states. >The data points range from Oct'14 To Mar'15. Now I need to know what >was the >difference in load in Nov as compared to Oct in both real numbers as >well as >in %. Similarly for all the month in comparison to the previous month. >I am able to get the desired result in excel and not sure on how to >achieve >the same in R. > >Kindly suggest. > > > >-- >View this message in context: >http://r.789695.n4.nabble.com/MOnth-over-Month-Variance-in-tp4706873.html >Sent from the R help mailing list archive at Nabble.com. > >______________________________________________ >R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see >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 -- To UNSUBSCRIBE and more, see 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.
