Hello, I've noticed that dget() is much slower in the current and devel R versions than in previous versions. In 2.15 reading a 10000-row data.frame takes less than half a second:
> (which.r <- R.Version()$version.string) [1] "R version 2.15.2 (2012-10-26)" > x <- data.frame(matrix(sample(letters, 100000, replace = TRUE), ncol = 10)) > dput(x, which.r) > system.time(y <- dget(which.r)) user system elapsed 0.546 0.033 0.586 While in 3.1.0 and r-devel it takes around 7 seconds. > (which.r <- R.Version()$version.string) [1] "R version 3.1.0 (2014-04-10)" > x <- data.frame(matrix(sample(letters, 100000, replace = TRUE), ncol = 10)) > dput(x, which.r) > system.time(y <- dget(which.r)) user system elapsed 6.920 0.060 7.074 > (which.r <- R.Version()$version.string) [1] "R Under development (unstable) (2014-06-19 r65979)" > x <- data.frame(matrix(sample(letters, 100000, replace = TRUE), ncol = 10)) > dput(x, which.r) > system.time(y <- dget(which.r)) user system elapsed 6.886 0.047 6.943 > I know dput/dget is probably not the right tool for this job: nevertheless the slowdown in quite dramatic so I thought it was worth calling attention to. Best, Ista ______________________________________________ R-devel@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-devel
