![]() The rangerun, runby and rangestat commands are useful for running commands and collecting statistics on rolling windows of observations.įtools can also be used to speed up your own commands.boottest, for efficiently running wild bootstraps.parallel allows for easier parallel computing in Stata (useful when running simulations, reshaping, etc.).reghdfe provides a faster alternative to xtreg and areg, as well as multi-way clustering and IV regression.randomtag is a much faster alternative to sample.Also see the fastxtile package, which provides similar functionality. that provide much faster alternatives to xtile and pctile. egenmisc introduces the egen functions fastxtile, fastwpctile, etc.sumup provides fast summary statistics, and includes the fasttabstat command, a faster version of tabstat.In most cases it's much faster than both ftools and the standard Stata commands, as shown in the graph above. gtools, a package similar to ftools but written in C.Other user commands that are very useful for speeding up Stata with large datasets include: This package provides alternative implementations that solves this problem, speeding up these commands by 3x-10x: Some of the most common Stata commands (collapse, merge, sort, etc.) are not designed for large datasets. FTOOLS: A faster Stata for large datasets ![]()
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