On Wed, 27 Feb 2019 at 09:02, Sebastian Martin Krantz <sebastian.kra...@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? Iñaki ______________________________________________ R-devel@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-devel
