The R-Podcast

Eric Nantz

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…

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    Shiny and Javascript Wizardry with Garrick Aiden-Buie

    About this Episode This is the second of multiple episodes covering the recent rstudio::conf 2020! In this episode, Eric shares the backstory behind his Shiny Community e-poster and welcomes data scientist Garrick Aiden-Buie to discuss his spectacular JavaScript for Shiny Users course, the mind-blowing features of the package accompanying the course, and much more. Plus takeaways from Shiny-related presentations at the conference and a fresh batch of listener feedback. Links rstudio::conf(2020L) recordings: resources.rstudio.com/rstudio-conf-2020 Reaping the benfits of the Shiny community e-poster: rpodcast.shinyapps.io/highlights-shiny Poster source code: github.com/rpodcast/highlights.shiny Javascript for Shiny Users: js4shiny.com/ Garrick's GitHub: github.com/gadenbuie js4shiny package: pkg.js4shiny.com/ Styling Shiny apps with Sass and Bootstrap 4 (Joe Cheng): resources.rstudio.com/rstudio-conf-2020/styling-shiny-apps-with-sass-and-bootstrap-4-joe-cheng Reproducible Shiny apps with shinymeta (Carson Sievert): resources.rstudio.com/rstudio-conf-2020/reproducible-shiny-apps-with-shinymeta-dr-carson-sievert Getting things logged (Gergely Daroczi): resources.rstudio.com/rstudio-conf-2020/getting-things-logged-gergely-daroczi Listener Ricardo's R & tidyverse tutorial: predictcrypto.org/tutorials xaringan package's infinite moon reader: [https://bookdown.org/yihui/rmarkdown/xaringan-preview.html](bookdown.org/yihui/rmarkdown/xaringan-preview.html) My appearance on Michael Dominick Show: https://www.automator.show/8 NSSD 101 interview with JJ Allaire: nssdeviations.com/101-special-guest-jj-allaire Feedback Leave a comment on this episode's post Email the show: thercast[at]gmail.com Use the R-Podcast contact page Episode Timestamps 00:00:00.000 Intro 00:01:48.000 Shiny community e-poster 00:20:12.000 Garrick Aiden-Buie 00:38:10.000 Styling Shiny apps 00:40:56.000 Shinymeta 00:44:20.000 logger 00:49:49.000 listener feedback 00:57:25.000 Wrapup Music Credits Opening and closing themes: Training Montage by WillRock from the Return All Robots Remix Album at ocremix.org

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    RStudio's Big Move & Kevin Ushey

    About this Episode This is the first of multiple episodes covering the recent rstudio::conf 2020! In this episode, Eric shares his take on the big news made by RStudio and has a great interview with RStudio software engineer Kevin Ushey. Links RStudio becomes a Public Benefit Corporation: blog.rstudio.com/2020/01/29/rstudio-pbc RStudio changes structure to focus on public benefit: www.infoworld.com/article/3518390/rstudio-changes-structure-to-focus-on-public-benefit.html JJ Allaire's keynote slides: rstudio.com/slides/rstudio-pbc/ A corporate paradign shift - Public Benefit Corporations [https://www.gibsondunn.com/a-corporate-paradigm-shift-public-benefit-corporations/](www.gibsondunn.com/a-corporate-paradigm-shift-public-benefit-corporations) renv: Project Environments for R kevinushey-2020-rstudio-conf.netlify.com/slides.html renv GitHub repository: github.com/rstudio/renv Emil Hvitfeldt's repository with rstudio::conf links to slides and other materials: github.com/EmilHvitfeldt/RStudioConf2020Slides Residual Snippets app: rpodcast.shinyapps.io/rsnippets Feedback Leave a comment on this episode's post Email the show: thercast[at]gmail.com Use the R-Podcast contact page Episode Timestamps 00:00:00.000 Intro 00:01:25.000 RStudio PBC 00:14:50.000 RWeekly Curators Unite! 00:18:45.000 RStudio's Kevin Ushey 00:42:26.000 Residual Snippets 00:47:52.000 Wrapup Music Credits Opening and closing themes: Training Montage by WillRock from the Return All Robots Remix Album at ocremix.org

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    Data Science education with R

    About this Episode In this episode, Eric shares insights gained from the JSM 2019 conference, including an excellent panel discussion on the use of javascript in statistics. In addition, Eric is joined by RStudio's education team members Alison Hill & Mine Cetinkaya-Rundel to discuss new ideas for teaching data science effectively, as well as how tools like R-Markdown are opening many new possibilities for both students and teachers. Episode Shownotes Why Javascript? JSM panel discussion: Karl Broman's slides Carson Sievert's slides Data Science in a Box: datasciencebox.org RStudio Learner Personas: rstudio-education.github.io/learner-personas Advanced R-Markdown workshop from rstudio::conf 2019: arm.rbind.io/ learnr - Interactive tutorials in R: rstudio.github.io/learnr Project Kickstart-R - Create a project/team website and knowledge sharing platform with R-Markdown: github.com/sourcethemes/project-kickstart-r lullabyr - Generate children's songs with random words: github.com/mine-cetinkaya-rundel/lullabyr Feedback Leave a comment on this episode's post Email the show: thercast[at]gmail.com Use the R-Podcast contact page Episode Timestamps 00:00:00.000 Intro 00:01:22.000 JSM Memories 00:07:16.000 Why Javascript recap 00:13:04.000 Shinymeta advice 00:19:54.000 Conversation with Alison & Mine 01:01:50.000 Takeaways & Wrapup Music Credits Opening and closing themes: Training Montage by WillRock from the Return All Robots Remix Album at ocremix.org

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    Chicago R Unconference Recap

    Chicago R Unconference Unconf website: [https://chirunconf.github.io/](chirunconf.github.io/) Issue board: github.com/chirunconf/chirunconf19/issues #chirunconf (Sharla Gelfand): sharla.party/posts/chirunconf/ Discover and share your supeR powers (Mauro Lepore): maurolepore.github.io/confs/articles/2019_chirunconf_experience.html Joshua Goldberg's awesome unconf photo album footrulr package repo: github.com/kanishkamisra/footrulr Fixed-Choice Design Simulation drake workflow (Ben Listyg): github.com/wlandau/drake-examples/tree/master/fcd drake v7.0.0 package release notes: ropensci.org/technotes/2019/03/18/drake-700/ electricShine package repo: github.com/chasemc/electricShine 25 gt examples: frm1789.github.io/gt_examples/ The Unconference Toolbox: github.com/unconf-toolbox/ The Unconf Issue Explorer Shiny app: rpodcast.shinyapps.io/unconfissues/ Unconf Twitter bot repo: github.com/unconf-toolbox/unconf-bot How to Organize an R Unconference: unconf-toolbox.github.io/unconf-guide/ Unconf attendee application repo: github.com/unconf-toolbox/unconf-apps Unconf review Shiny app repo: github.com/unconf-toolbox/Shiny_review_app rlangtip package repo: github.com/revodavid/rlangtip broom package repo: github.com/tidymodels/broom workflowr package repo: github.com/jdblischak/workflowr Package Pick brickr 3D LEGO models and mosaics from images using R and tidyverse: github.com/ryantimpe/brickr My ShinyLEGO app: rpodcast.shinyapps.io/shinylego/ Community News Highlights Powered by R Weekly issue 2019-11 R 3.5.3 now available: 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 Feedback Leave a comment on this episode's post Email the show: thercast[at]gmail.com Use the R-Podcast contact page Leave a voicemail at +1-269-849-9780 Music Credits Opening and closing themes: Training Montage by WillRock from the Return All Robots Remix Album at ocremix.org

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    Tidymodels with Max Kuhn

    Conversation with Max Kuhn Tidy models: github.com/tidymodels parsnip - A tidy interface to models: tidymodels.github.io/parsnip/ caret package: topepo.github.io/caret/index.html Conventions for R Modeling Packages: tidymodels.github.io/model-implementation-principles/ Additional rstudio::conf gems Empowering a data team with RStudio addins (Hao Zhu): resources.rstudio.com/rstudio-conf-2019/empowering-a-data-team-with-rstudio-addins pak: A fresh approach to package installation: pak.r-lib.org/ Gabor Csardi's rstudio::conf presentation: resources.rstudio.com/rstudio-conf-2019/pkgman-a-fresh-approach-to-package-installation Democratizing R with Plumber APIs (James Blair): resources.rstudio.com/rstudio-conf-2019/democratizing-r-with-plumber-apis Configuration management tools for the R admin (Kelly O'Briant): resources.rstudio.com/rstudio-conf-2019/configuration-management-tools-for-the-r-admin The lazy and distracted report writer - using rmarkdown and parameterised reports (Mike K Smith): resources.rstudio.com/rstudio-conf-2019/the-lazy-and-easily-distracted-report-writer-using-rmarkdown-and-parameterised-reports Modernizing the Clinical Trial Analysis Pipeline with R and JavaScript: github.com/RhoInc/RStudioConf2019-ePoster/ Feedback Leave a comment on this episode's post Email the show: thercast[at]gmail.com Use the R-Podcast contact page Leave a voicemail at +1-269-849-9780 Music Credits Opening and closing themes: Training Montage by WillRock from the Return All Robots Remix Album at ocremix.org

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حول

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…