Try this: > m <- merge(data1, data2, by = 0, all = TRUE, sort = FALSE) > sapply(unique(union(names(data1), names(data2))), function(n)Reduce('+', > m[grep(n, names(m))]))
On Wed, Jan 20, 2010 at 10:59 AM, Alfredo Alessandrini <alfreal...@gmail.com> wrote: > Hi, > > I've this dataframes: > >> data1 > 1 2 3 4 5 6 > 5 0.4963017 0 0 0.2481509 1.9852069 0.4963017 > 10 0.0000000 0 0 0.0000000 0.6317266 0.0000000 > 15 0.0000000 0 0 0.0000000 0.0000000 0.0000000 > 20 0.0000000 0 0 3.3955301 0.0000000 0.0000000 > 25 0.0000000 0 0 0.0000000 0.0000000 0.0000000 > 30 0.0000000 0 0 0.0000000 0.0000000 0.0000000 > 35 0.0000000 0 0 0.0000000 0.0000000 0.0000000 > >> data2 > 1 4 5 6 > 5 0.00000 0.00000 0.00000 0.0000000 > 10 0.00000 0.00000 0.00000 0.5849502 > 15 0.00000 0.00000 0.00000 0.0000000 > 20 0.00000 0.00000 0.00000 0.0000000 > 25 0.00000 10.49815 0.00000 0.0000000 > > Can I sum the dataframe, by colnames? > > The sum is: > > 1 2 3 4 5 6 > 5 0.4963017 0 0 0.2481509 1.9852069 0.4963017 > 10 0.0000000 0 0 0.0000000 0.6317266 0.5849502 > 15 0.0000000 0 0 0.0000000 0.0000000 0.0000000 > 20 0.0000000 0 0 3.3955301 0.0000000 0.0000000 > 25 0.0000000 0 0 10.498150 0.0000000 0.0000000 > 30 0.0000000 0 0 0.0000000 0.0000000 0.0000000 > 35 0.0000000 0 0 0.0000000 0.0000000 0.0000000 > > > Thanks, > > Alfredo > > ______________________________________________ > 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. > -- Henrique Dallazuanna Curitiba-Paraná-Brasil 25° 25' 40" S 49° 16' 22" O ______________________________________________ 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.