library(ggplot2) library(microbenchmark) library(parallel) options(mc.cores=3) list_size <- seq(1000, 100000, by=10000) list_res <- mclapply(list_size, function(i) { mb <- microbenchmark( rlist={ lst <- list() for (j in seq_len(i)) { lst <- c(lst, j) } }, dynlist={ lst <- dynlist() for (j in seq_len(i)) { lst$append(j) } }, times=10) class(mb) <- "data.frame" mb$i <- i mb }) res <- do.call(rbind, list_res) p <- ggplot(res, aes(x=i, y=time, color=expr)) + geom_point() + geom_smooth(se=FALSE) p <- p + scale_y_log10() p <- p + scale_x_log10() p
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