Thanks, It seems for loop spends less time ;) with dim(DataFrame) [1] 338 70
For loop has user system elapsed 0.012 0.000 0.012 and apply has user system elapsed 0.020 0.000 0.021 Ô__ c/ /'_;~~~~kmezhoud (*) \(*) ⴽⴰⵔⵉⵎ ⵎⴻⵣⵀⵓⴷ http://bioinformatics.tn/ On Wed, Dec 31, 2014 at 8:54 AM, Berend Hasselman <b...@xs4all.nl> wrote: > > > On 31-12-2014, at 08:40, Karim Mezhoud <kmezh...@gmail.com> wrote: > > > > Hi All, > > I would like to choice between these two data frame convert. which is > > faster? > > > > for(i in 1:ncol(DataFrame)){ > > > > DataFrame[,i] <- as.numeric(DataFrame[,i]) > > } > > > > > > OR > > > > DataFrame <- as.data.frame(apply(DataFrame,2 ,function(x) as.numeric(x))) > > > > > > Try it and use system.time. > > Berend > > > Thanks > > Karim > > Ô__ > > c/ /'_;~~~~kmezhoud > > (*) \(*) ⴽⴰⵔⵉⵎ ⵎⴻⵣⵀⵓⴷ > > http://bioinformatics.tn/ > > > > [[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. > > [[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.