In the notes we generated a numeric data set. Here we'll repeat the timings, but with characters. First generate a simple data sets.
x = as.character(runif(1e6)) x[sample(1e6, 1e5)] = NA # 10% NAs dd = as.data.frame(replicate(10, x))
then time writing/reading the data frame to a file.
Instead of passing a data frame to a function. Try just passing a very large vector. Is there still a speed-up?
f = function(x) { x[1] = 0; x } g = function(e) e$x[1] = 0 x = rnorm(1e5) e = new.env(); e$x = x system.time(replicate(1000, f(x))) system.time(replicate(1000, g(e)))
Hint: It's worth reading the RStudio blog from time to time.
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