From |uc@r @end|ng |rom |edor@project@org  Wed Feb 27 10:23:54 2019
From: |uc@r @end|ng |rom |edor@project@org (=?UTF-8?Q?I=C3=B1aki_Ucar?=)
Date: Wed, 27 Feb 2019 10:23:54 +0100
Subject: [Rd] Improved Data Aggregation and Summary Statistics in R
In-Reply-To: <CAOsNuxA4PsWg9XkoADO1vcUXQVSmN=XzzBkV869=6r4Mqtbzmg@mail.gmail.com>
References: <CAOsNuxA4PsWg9XkoADO1vcUXQVSmN=XzzBkV869=6r4Mqtbzmg@mail.gmail.com>
Message-ID: <CALEXWq3bK6Xi1QqNW2AMazdKe0emfZP3Ai4+EBNtMZ9uaNpybA@mail.gmail.com>

On Wed, 27 Feb 2019 at 09:02, Sebastian Martin Krantz
<sebastian.krantz at graduateinstitute.ch> wrote:
>
> Dear Developers,
>
> Having spent time developing and thinking about how data aggregation and
> summary statistics can be enhanced in R, I would like to present my
> ideas/efforts in the form of two commands:
>
> The first, which for now I called 'collap', is an upgrade of aggregate that
> accommodates and extends the functionality of aggregate in various
> respects, most importantly to work with multilevel and multi-type data,
> multiple function calls, highly customized aggregation tasks, a much
> greater flexibility in the passing of inputs and tidy output.
>
> The second function, 'qsu', is an advanced and flexible summary command for
> cross-sectional and multilevel (panel) data (i.e. it can provide overall,
> between and within entities statistics, and allows for grouping, custom
> functions and transformations). It also provides a quick method to compute
> and output within-transformed data.
>
> Both commands are efficiently built from core R, but provide for optional
> integration with data.table, which renders them extremely fast on large
> datasets. An explanation of the syntax, a demonstration and benchmark
> results are provided in the attached vignette.

Looks interesting. Sorry if it's there and I didn't find it: is there
any package implementing these functions so that we can try them?

I?aki



[Rd] Improved Data Aggregation and Summary Statistics in R
=?UTF-8?Q?I=C3=B1aki_Ucar?=