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The R-Podcast episodes
- Tidymodels with Max KuhnConversation 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
1 hr 7 min - Get the {gt} Tables!
In this episode I share the advice and tips I used to prepare my talk on Shiny Modules at rstudio::conf 2019. Plus I sit down with RStudio software engineer Rich Iannone to learn about his journey from atmospheric science to creating a collection of awesome R packages like DiagrammeR and gt for creating tables with a tidy syntax. As always thank you so much for listening and hope you enjoy this episode!
Conversation with Rich Iannone- DiagrammeR package: visualizers.co/diagrammer/
- gt package: gt.rstudio.com/
- blastula package: github.com/rich-iannone/blastula
Preparing for the Shiny Modules talk- Karl Browman's rstudio::conf 2019 resources repo: github.com/kbroman/RStudioConf2019Slides
- Slides: bit.ly/modules2019
- Recording: resources.rstudio.com/rstudio-conf-2019/effective-use-of-shiny-modules-in-application-development
- Communication between modules article: shiny.rstudio.com/articles/communicate-bet-modules.html
- Ames Housing Explorer application: gallery.shinyapps.io/ames-explorer
- shinypod package by Ian Lyttle: github.com/ijlyttle/shinypod
- shinysense package by Nick Strayer: github.com/nstrayer/shinysense
- Giving your first data science talk by Emily Robinson: hookedondata.org/giving-your-first-data-science-talk/
- The Unreasonable Effectiveness of Public Work (David Robinson): slides and recording
Additional resources- Tips on designing hex stickers for R packages (Hao Zhu): zhuhao.org/post/tips-on-designing-a-hex-sticker-for-rstats-packages/
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
51 min - The Podcast Trifecta (rstudio::conf 2019)
Another spectacular rstudio::conf is in the books and the R-Podcast has tons of insights to share! We kick off our coverage with a three-podcast crossover as I am joined by Credibly Curious co-host Nick Tierny and Not So Standard Deviations co-host Hilary Parker! We discuss our impressions of the conference and where we'd like to see R go in 2019. Plus I share how my journey to the Advanced R-Markdown workshop is a testament to the welcoming and openness that the R community offers. This is just the beginning of our coverage and I hope you enjoy this episode!
Conversation with Hilary Parker and Nick Tierney- Credibly Curious podcast: soundcloud.com/crediblycurious
- Not So Standard Deviations podcast: nssdeviations.com
- Apache Arrow: arrow.apache.org
- Tidy Evaluation online book: tidyeval.tidyverse.org
- Tidy models family of packages: github.com/tidymodels
- The magick package by Jeroen Ooms: github.com/ropensci/magick
- pagedown package (paginate HTML output of R Markdown) by Yihui Xie: github.com/rstudio/pagedown
Advanced R Markdown workshop highlights- Course website: arm.rbind.io (powered by blogdown!)
- Course GitHub repository: github.com/rstudio-education/arm-workshop-rsc2019
- My slides on using the officer package to create PowerPoint slides: rpodcast.github.io/officer-advrmarkdown
- The officer package documenation: davidgohel.github.io/officer
- MegaMan slide generator Shiny app: rpodcast.shinyapps.io/megaman
- GitHub repo for slides and app: github.com/rpodcast/officer-advrmarkdown
Feedback- Leave a comment on this episode's post: r-podcast.org/26
- Email the show: thercast[at]gmail.com
- Use the R-Podcast contact page: r-podcast.org/contact
- 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
42 min - Episode 25: Interview with Ian LyttleConversation with Ian Lyttle
- Twitter: @ijlyttle | Github: github.com/ijlyttle
- Ian's presentation at rstudio::conf 2018 recording: www.rstudio.com/resources/videos/how-i-learned-to-stop-worrying-and-love-the-firewall/
- bsplus package: ijlyttle.github.io/bsplus/
- shinychord package: github.com/ijlyttle/shinychord
- ghenter package: github.com/ijlyttle/ghentr
Rstudio::conf 2018 takeaways and insights- Advanced R 2nd Edition new chapters:
- Expressions: adv-r.hadley.nz/expressions.html
- Quasiquotation: adv-r.hadley.nz/expressions.html
- Evaluation: adv-r.hadley.nz/evaluation.html
- Translating R Code: adv-r.hadley.nz/translation.html
- lobstr package: github.com/r-lib/lobstr
- Recordings from all sessions on RStudio site: rstudio.com/resources/webinars/#rstudioconf2018
- Collection of presentation links: github.com/simecek/RStudioConf2018Slides/
- Presentations by RStudio staff: github.com/rstudio/rstudio-conf/tree/master/2018/
- rstudio::conf 2018 summary (Paul van der Laken): paulvanderlaken.com/2018/02/08/rstudioconf-2018-summary
- Rewriting the R organism at rstudio::conf 2018 (John David Smith): goo.gl/rGfqip
- David Miller's slides on rstudio::conf 2018: github.com/dill/rstudioconf2018-summary/blob/master/talk.Rmd
- Recap of rstudio::conf 2018 (Colby Ford): www.blue-granite.com/blog/rstudio-conference-2018-recap
- Highlights from rstudio::conf 2018 (Methods Consultants blog): blog.methodsconsultants.com/posts/highlights-from-rstudio-conf-2018/
- lobstr package: github.com/r-lib/lobstr
Listener feedback- A completely subjective ranking of data science podcasts: tonyelhabr.rbind.io/posts/data-science-podcasts
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
55 min - Yihui Xie Returns (rstudio::conf 2018)
Our coverage of rstudio::conf 2018 continues! In this episode I reconnect with the first-ever guest of the R-Podcast, RStudio software engineer Yihui Xie. In our conversation you'll hear about Yihui's journey since joining RStudio, his vision of how blogdown and bookdown could lead to a streamlined publishing worflow, and much more. I hope you enjoy this episode!
Conversation with Yihui Xie- Yihui's supplemental post: yihui.name/en/2018/02/r-podcast/
- Rbind project: support.rbind.io/about/
- The New and Improved R-Podcast Site: support.rbind.io/2017/04/27/r-podcast-website/
- REWORK: basecamp.com/books/rework
- blogdown: Creating websites with R Markdown (available online and print): bookdown.org/yihui/blogdown/
- Keeping up with blogdown (Mara Averick): maraaverick.rbind.io/2017/10/keeping-up-with-blogdown/
Feedback- Leave a comment on this episode's [post]({{< ref "024-rstudioconf-yihui-xie.md" >}})
- Email the show: thercast[at]gmail.com
- Use the R-Podcast [contact page]({{< ref "contact.md" >}})
- 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
45 min - Episode 23: rstudio::conf 2018 Chats with Romain Francois and Thomas Lin Pedersen
The R-Podcast's coverage of rstudio::conf 2018 begins! I have the pleasure of speaking with Romain Francois and Thomas Lin Pedersen. You'll hear Romain's thoughts on the growth of Rcpp and the project that helped him become closer to the R community. We also learn about Thomas' journey to enhancing ggplot2 and the new packages he's developed covering network analyses and dynamic APIs from R. I hope you enjoy episode 23 of the R-Podcast!
54 min - Episode 22: Episode 22: Diving in to drake with Will Landau
In this episode of the R-Podcast I have a conversation with my colleague Will Landau about his new R package drake that provides a powerful build system for analysis pipelines. In addition we have a fun R community roundup, listener feedback, and a couple of package picks to give you a gentle nod and a fun way to explore interpolation. If you have ideas for topics, questions, or other types of feedback, get in touch with me by heading over to the R-Podcast site at www.r-podcast.org, sending a note to thercast[at]gmail.com, or contacting me at @thercast on Twitter. As always thanks for tuning in and I hope you enjoy episode 22 of the R-Podcast!
1 hr 18 min - Episode 21: Episode 21: Talking Rcpp and more with Dirk Eddelbuettel
The R-Podcast concludes its coverage of rstudio::conf by chatting with R Foundation member and Rcpp author Dirk Eddelbuettel! We cover a variety of topics including the state of Rcpp, how the integration of Rcpp in RStudio came about, and his perspective on Linux in the R community. Plus a new batch of listener feedback and a package pick that gives your shiny apps and rmarkdown reports a little more bootstrap polish. Enjoy episode 21 of the R-Podcast!
40 min - Episode 20: Episode 20 - More interviews from rstudio::conf with Javier Luraschi and Garrett Grolemund
In episode 20 I'm happy to bring you more great interviews with members of RStudio from rstudio::conf! I had the pleasure of chatting with software engineer Javier Luraschi to discuss Apache Spark and the new sparklyr package that allows R users to connect directly to a Spark cluster for high-performance data analyses. In addition you will hear from RStudio's master instructor Garret Grolemund to get his recommendations for teaching R and the highly-acclaimed R for Data Science book. All of this plus a package pick that could enable me to use R in my podcast workflow in episode 20 of the R-Podcast!
30 min - Episode 19: Episode 19: Talking Shiny at RStudio Conf with Barbara Borgis and Dean Attali
The R-Podcast has landed in Orlando for the first ever rstudio::conf! Our coverage begins with two excellent interviews: First I talk with Bárbara Borges Ribeiro, software engineer at RStudio about her journey to using R and her advice for developing Shiny apps. Then Dean Attali makes his return to the show and we discuss R's role in his graduate research and his experiences as a Shiny consultant. All of this plus a package pick that can give Shiny app users a helping hand. I hope you enjoy episode 19 of the R-Podcast!
1 hr 10 min
About The R-Podcast
From the publisher's feed
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…