profr 0.1 ---------------------------- profr provides an alternative data structure and display for profiling data. It still uses Rprof() to collect the data, but outputs a data.frame which should be easier to manipulate. It also implements a novel visualisation which allows you to see the length of each call, as well as the context in which it was called.
To get started, try: install.packages("profr") library(profr) p <- profr(my.slow.function()) plot(p) Two built in examples are: plot(nesting_prof) plot(reshape_prof) (and the second has helped me to considerably speed up (5-20x) the development version of reshape) Regards, Hadley PS. If you'd like to contribute to the development of profr, the source code is available from http://github.com/hadley/profr. -- http://had.co.nz/ _______________________________________________ R-packages mailing list [EMAIL PROTECTED] https://stat.ethz.ch/mailman/listinfo/r-packages ______________________________________________ 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.