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Chicago R Unconference Recap

Chicago R Unconference Recap

FromThe R-Podcast


Chicago R Unconference Recap

FromThe R-Podcast

ratings:
Length:
58 minutes
Released:
Mar 23, 2019
Format:
Podcast episode

Description

Chicago R Unconference
Unconf website: https://chirunconf.github.io/ (chirunconf.github.io/)
Issue board: github.com/chirunconf/chirunconf19/issues (https://github.com/chirunconf/chirunconf19/issues)
#chirunconf (Sharla Gelfand): sharla.party/posts/chirunconf/ (https://sharla.party/posts/chirunconf/)
Discover and share your supeR powers (Mauro Lepore): maurolepore.github.io/confs/articles/2019chirunconfexperience.html (https://maurolepore.github.io/confs/articles/2019_chirunconf_experience.html)
Joshua Goldberg's awesome unconf photo album (https://photos.google.com/share/AF1QipPJmgx7AVbz_ELCTEPz583dK1m_nwQNIVnN4yDNVN7LHCQ9olWQBw7TSCeA1QwDxA?key=MmVHT1hLQ1ZoeGJzUHhuc0VMTXo1YzFDNDFNSkd3)
footrulr package repo: github.com/kanishkamisra/footrulr (https://github.com/kanishkamisra/footrulr)
Fixed-Choice Design Simulation drake workflow (Ben Listyg): github.com/wlandau/drake-examples/tree/master/fcd (https://github.com/wlandau/drake-examples/tree/master/fcd)
drake v7.0.0 package release notes: ropensci.org/technotes/2019/03/18/drake-700/ (https://ropensci.org/technotes/2019/03/18/drake-700/)
electricShine package repo: github.com/chasemc/electricShine (https://github.com/chasemc/electricShine)
25 gt examples: frm1789.github.io/gt_examples/ (https://frm1789.github.io/gt_examples/)
The Unconference Toolbox: github.com/unconf-toolbox/ (https://github.com/unconf-toolbox/)
The Unconf Issue Explorer Shiny app: rpodcast.shinyapps.io/unconfissues/ (https://rpodcast.shinyapps.io/unconfissues/)
Unconf Twitter bot repo: github.com/unconf-toolbox/unconf-bot (https://github.com/unconf-toolbox/unconf-bot)
How to Organize an R Unconference: unconf-toolbox.github.io/unconf-guide/ (https://unconf-toolbox.github.io/unconf-guide/)
Unconf attendee application repo: github.com/unconf-toolbox/unconf-apps (https://github.com/unconf-toolbox/unconf-apps)
Unconf review Shiny app repo: github.com/unconf-toolbox/Shinyreviewapp (https://github.com/unconf-toolbox/Shiny_review_app)
rlangtip package repo: github.com/revodavid/rlangtip (https://github.com/revodavid/rlangtip)
broom package repo: github.com/tidymodels/broom (https://github.com/tidymodels/broom)
workflowr package repo: github.com/jdblischak/workflowr (https://github.com/jdblischak/workflowr)
Package Pick
brickr 3D LEGO models and mosaics from images using R and tidyverse: github.com/ryantimpe/brickr (https://github.com/ryantimpe/brickr)
My ShinyLEGO app: rpodcast.shinyapps.io/shinylego/ (https://rpodcast.shinyapps.io/shinylego/)
Community News Highlights
Powered by R Weekly issue 2019-11 (https://rweekly.org/#RWeekly2019-11R3.5.3,RConsortium,chirunconf)
R 3.5.3 now available: blog.revolutionanalytics.com/2019/03/r-353-now-available.html (https://blog.revolutionanalytics.com/2019/03/r-353-now-available.html)
R Consortium 2019 Update: www.r-consortium.org/blog/2019/03/12/2019-update-one-r-consortium-and-isc-announce-the-newest-funded-projects-for-the-r-community (https://www.r-consortium.org/blog/2019/03/12/2019-update-one-r-consortium-and-isc-announce-the-newest-funded-projects-for-the-r-community)
Feedback
Leave a comment on this episode's post (https://r-podcast.org/29)
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Use the R-Podcast contact page (https://r-podcast.org/contact)
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Music Credits
Opening and closing themes: Training Montage by WillRock (http://ocremix.org/artist/5043/willrock) from the Return All Robots Remix Album (http://ocremix.org/events/returnallrobots/) at ocremix.org (http://ocremix.org/)
Released:
Mar 23, 2019
Format:
Podcast episode

Titles in the series (35)

R is a free and open-source statistical computing environment. It has quickly become the leading choice of software used to develop cutting-edge statistical algorithms, innovative visualizations, and data processing, among other key features. R has seen tremendous growth in popularity and functionality over the last decade, largely due to the vibrant and devoted R community of users. Whether you have experience with commercial statistical software such as SAS or SPSS and want to learn R, or getting into statistical computing for the first time, the R-Podcast will provide you with valuable information and advice that will help you to tap into the power of R. Our intent is to start with the basic concepts that can be a struggle for those new to R and statistical computing. We will give practical advice on how to take advantage of R’s capabilities to accomplish innovative and robust data analyses. Along the way we will highlight the additional tools and packages that greatly enhance the experience of using R, and highlight resources that can help people become experts with R. While this podcast is not meant to be a series of lectures on statistics, we will use freely and publicly available data sets to illustrate both basic statistical analyses as well as state-of-the-art algorithms to show how powerful and robust R can be for analyzing today’s explosion of data. In addition to the audio podcast, we will also produce screencasts for hands-on demonstrations for those topics that are best explained via video.