Hi Elham, As you have asked this question a large number of times in quite a few places, and have received reasonable answers, I assume that you already know that the gene names and associated values are in another format. What you probably want to do is to convert the first column of the data that you have imported into rownames:
test2a<-(test2[,-1]) rownames(test2a)<-test2[,1] Why do I guess this? Because the values in a matrix must all be of the same data type and you probably have a data frame in which the first column is the names. You want the numeric values in the subsequent columns to become a matrix. Perhaps I have guessed correctly. Perhaps not. Jim On Sun, Oct 30, 2016 at 3:01 AM, Elham Dallalbashi <elhamdallalba...@gmail.com> wrote: >> Dear Madam / Sir, >> I saw this function for "*Convert to matrix as it is that you wanted" * >> >> >* test2<-as.matrix(test1) >> *>* colnames(test2)<-NULL >> *>* genelist<-c("Fkh2","Swi5","Sic1") >> *>* rownames(test2)<-genelist >> *>* test2 >> *>* # [,1] [,2] [,3] >> *>* #Fkh2 0.141 0.242 0.342 >> *>* #Swi5 0.224 0.342 0.334 >> *>* #Sic1 0.652 0.682 0.182* >> >> >> >> >> what is function for large data?my data and genelist are 28031 rows,how >> can I convert? clear that I can not write 28031 genes like >> *genelist<-c("Fkh2","Swi5","Sic1")* >> >> >> >> Your attention would be really appreciated. >> >> Best Regards, >> >> Elham Dalalbshi Esfahani >> > > [[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.