Two ways immediately come to mind: 1) Change the values before splitting
2) Use the same seed for the two splits so the rows match exactly and then just do the changes directly Any more automated solution will depend on whether your data has rownames or not. Michael PS - As a general rule, most folks don't like to download unknown xls files -- it's much easier to create a plain text representation of R data using the dput() command. On Wed, Nov 30, 2011 at 8:15 AM, agent dunham <crossp...@hotmail.com> wrote: > Dear community, > > I'm working with the data.frame attached ( > http://r.789695.n4.nabble.com/file/n4122926/df1.xls df1.xls ), let's call it > df1. > I typed: df1<- read.xls("C:/... dir .../df1.xls",colNames= TRUE, rowNames= > TRUE) > > Then I splited randomly df1 using splitdf function > (http://gettinggeneticsdone.blogspot.com/2011/03/splitting- > dataset-revisited-keeping.html) > > So now, I have df1 divided in another 2 dataframes: trainset and testset. > (They both have the same row names and column names as df1) > > I'd like to change df1$v1 and df1$v2 values in the trainset and testset by > the ones in df2 ( http://r.789695.n4.nabble.com/file/n4122926/df2.xls > df2.xls ) > > How can I explain R to identify in trainset/testset$v1 and $v2 the rownames > and replace the values by the corresponding ones in df2? > > Thanks in advance, > > u...@host.com > > -- > View this message in context: > http://r.789695.n4.nabble.com/Replace-columns-in-a-data-frame-randomly-splitted-tp4122926p4122926.html > Sent from the R help mailing list archive at Nabble.com. > > ______________________________________________ > 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.