Depending upon what you are trying to do with them, how about storing the dataframes as a multidimensional array of size 4x3x3 in the case below. After that you can use the sapply function with the appropriate MARGIN argument specified:
For example mydfs <- as.array(list(df1, df2, df3)) sapply(X=mydfs, MARGIN=c(1,2), FUN=mean) [,1] [,2] [,3] V1 0.8206239 -0.51637848 -0.9025252 V2 -0.2828919 0.41837384 -0.4042646 V3 -0.8996891 -0.06284681 -0.2459261 --Mark Lamias ________________________________ From: Kaiyin Zhong <kindlych...@gmail.com> To: r-help <r-help@r-project.org> Sent: Wednesday, November 23, 2011 10:34 AM Subject: [R] Is there an easier way to iterate over multiple data frames in R? > for (d in paste('df', 1:3, sep='')) { + assign(d, as.data.frame(replicate(3, rnorm(4)))) + } > dats = list(df1,df2,df3) > for (i in 1:length(dats)) { + names(dats[[i]]) = c('w', 'l', 'h') + } > dats [[1]] w l h 1 1.24319239 -0.05543649 0.05409178 2 0.05124331 -1.89346950 0.33896273 3 -1.69686777 -0.35963008 -0.91720034 4 1.30786112 -0.23953238 0.94139356 [[2]] w l h 1 -1.238519 -0.12352187 -1.2577607 2 1.180469 2.38836107 2.9139199 3 1.494369 -0.07088712 0.2372746 4 1.942535 1.47911615 1.1431675 [[3]] w l h 1 1.0198692 -1.4222194 1.9486072 2 0.3057461 1.7630326 -0.6501801 3 -0.5576854 -1.1637263 -0.1782680 4 0.6625268 0.6913202 0.9588915 > i = 1 > for (n in paste('df', 1:3, sep='')) { + assign(n, dats[[i]]) + i = i+1 + } > df1 w l h 1 1.24319239 -0.05543649 0.05409178 2 0.05124331 -1.89346950 0.33896273 3 -1.69686777 -0.35963008 -0.91720034 4 1.30786112 -0.23953238 0.94139356 [[alternative HTML version deleted]] ______________________________________________ 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. [[alternative HTML version deleted]]
______________________________________________ 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.