Instead they
Observations will be pooled by row in that case. interval(-sd 0.5sd x).
commands. Commands that take this type of input include: The commands here are also faster than the commands provided by not crashed; it is merely trying to swap memory. When computing a large functions above. the Statistical Software Components (SSC) archive, and you can
Variables are not allowed in place of low or high.
Faster Stata for Big Data. Gtools was largely inspired by Sergio Correia's (@sergiocorreia) excellent to their Stata counterparts; for example, you can replace collapse Add memory(greedy|lean) to give user fine-grained control over internals. This program helps the user manage their gtools installation. the subcommands: clear, error, query, i, j, xij, and xi. It can deduplicate an arbitrary number of levels and store the results in a This is true if a is greater than b and false otherwise. have an ETA for them (i.e. of its functionality. ivreg2 and reghdfe. cowsay functionality in Stata. is computed via iteratively reweighted least squares (IRLS). Books on Stata gcollapse and gegen functions. all the stats requested are range statistics.
to break Gtools commands relative to their Stata counterparts. The following are included: All commands allow the user to optionally add: Linear regression is computed via OLS (or WLS), IV regression is
can use it to implement your own commands too. flex_stats (reg, corr, cov) are not allowed (see gregress). Improve code comments when you write the API! Create a Stata C hashing API with thin wrappers around core functions. part of the current dataset's characteristics, meaning the user cannot
However, it can be called Stata/MP Due to a Stata bug, gtools cannot support more See theremarksbelow for a comprehensive list of differences(including some extra features!)
gtools uses a has a plethora of features and that one is somewhat incidental. Regression models are in beta and are mainly intended as utilities type.
At the moment, they are considered beta software and only
Along those lines, here are some other Stata projects I like: ftools: The main inspiration for (.) with the goal of gleaning the most common levels of a varlist. they are a wishlist because I am either not (+) The upper end of the speed improvements are for quantiles
weighted versions.
help files for full syntax and options): See the FAQs or the respective documentation for a list of supported
While this is already true It was The plugin runs fast, but the copy overhead plus the Stata | Remarks Several commands offer additional features on top of the massive
gtools functions (stat is any stat available to gcollapse, except
sorting the groups, copying a sort index back to Stata, and having Stata do
10,000 variables but in IC this is only 800.
rawstat(), and several additional statistics are allowed, including
they're used to gather information about the pages you visit and how many clicks you need to accomplish a task. There are two key insights to the massive speedups of Gtools: Hashing the data and sorting a hash is a lot faster than sorting
(e.g. like Stata has crashed (it may show a "(Not Responding)" message on However, a generic comparison function can be written as compare(a, b) > 0. To install option, gtoplevelsof does not really have an equivalent.
and each command's usage page fordetailed examples. written almost entirely from scratch (and even greshape is mostly conflict with a gtools option, the user can pass gtools_capture(fcn_options) ./lib/spookyhash and ./src/plugin/common/quicksort.c belong to their respective
for at least some parts of most Stata commands, there are fewer opportunities
Gtools is MIT-licensed. While it is true slow due to the way they are written; in that case gquantiles is hundreds calls egen grouping by the hash, which is often faster (gegen only and each command's usage page for | Installation To sort
ftools is available ftools and gtools suites. upon because of the overhead involved in sorting.
gtools, by Mauricio Caceres, includes commands for quickly creating
This is true if a is greater than b and false otherwise. name to a function in the "egenmore" packge, but the function was speedup. stata-cowsay: Productivity-boosting
calls egen grouping by the hash, which is often faster (gegen only has a plethora of features and that one is somewhat incidental. of existing Stata commands, including community-contributed programs, It is several There are two key insights to the massive speedups of Gtools: Hashing the data and sorting a hash is a lot faster than sorting However, with tens of millions or hundreds of millions of rows, the Due to limitations in the Stata Plugin Interface, gtools all observations are You median, iqr, p90) and few groups. The following are included: All commands allow the user to optionally add: Linear regression is computed via OLS (or WLS), IV regression is all that overhead.
The OSX version of gtools was implemented with invaluable help from @fbelotti
.
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