Next Meetup

Solving the Model Representation Problem With broom
Alex Hayes, an active contributor to broom (a tidyverse package), will be giving a presentation on how to use broom. Presentation abstract: The R objects used to represent model fits are notoriously inconsistent, making data analysis inconvenient and frustrating. The broom package resolves this issue by defining a consistent way to represent model fits. By summarizing essential information about fits in tidy tibbles, broom makes it easy to programmatically work with model objects. Combining broom with list-columns results in an especially powerful way to work with many model fits at once. This talk will feature several case studies demonstrating how broom resolves common problems in data analysis. I'll conclude with some thoughts on the future of broom and how broom might fit into an overall grammar of statistical modeling.

Madison Public Library - Central

201 West Mifflin Street · Madison, WI

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    What we're about

    This group is for anyone who is interested in learning more about R programming or improving their R skills. Let's talk about R programming, projects, problems and solutions. R is a language and environment for statistical computing and graphics. R provides a wide variety of statistical and graphical techniques, and is highly extensible. One of R's strengths is the ease with which well-designed publication-quality plots can be produced, including mathematical symbols and formulae where needed. R is available as Free Software under the terms of the Free Software Foundation's GNU General Public License in source code form. It compiles and runs on a wide variety of UNIX platforms and similar systems (including FreeBSD and Linux), Windows and MacOS. From http://www.r-project.org/ . You can also find information on R at my site http://www.rprogramming.net .

    Some of the presentations are shared on our github organization page at https://github.com/MadisonR .

    You can follow the group (and get other R-related posts) at https://twitter.com/rprogramming .

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