Have you read [1]? Plotting usually comes after analysis, so if you haven't pulled your data into R yet then there may yet be a huge number of possible ways to proceed.
You should probably also read the Posting Guide mentioned at the bottom of every email on this list. In particular, sending your message using plain text (an option in your email client) will allow you to see what we will see when we read your email (the mails reach us without any formatting). Also, whenever possible give us a reproducible example that shows how far along you are in your analysis. [1] https://cran.r-project.org/web/views/Phylogenetics.html --------------------------------------------------------------------------- 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 October 31, 2015 2:59:06 AM PDT, Richard Harris <rharris2...@hotmail.co.uk> wrote: > > > > > > > >Sent from Windows Mail > >Hi, > > > > >I am looking for possible code (if any code exists) for creating a >tree/ graphical representation of ancestral state reconstruction that >clearly highlights state-changes or where state changes are estimated? >I am using binary for my trait distinctions. > > > > >I am very new to r so please be gentle! > > >Thanks. > [[alternative HTML version deleted]] > >______________________________________________ >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.