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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
--
http://had.co.nz/
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