The R-Podcast - Episodes Tagged with “Github”

web02.fireside.fm Tue, 05 May 2026 20:10:31 -0500 Fireside (https://fireside.fm) The R-Podcast - Episodes Tagged with “Github” https://r-podcast.fireside.fm/tags/github Thu, 22 Mar 2018 22:15:00 -0400 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. en-us episodic Giving practical advice on how to use R for powerful and innovative data analyses 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 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. no Eric Nantz thercast@gmail.com Episode 25: Interview with Ian Lyttle https://r-podcast.fireside.fm/25 b0d7ab4c-a06b-4d59-a180-191983e8cb63 Thu, 22 Mar 2018 22:15:00 -0400 Eric Nantz 25 Interview with Ian Lyttle full Eric Nantz Our coverage of rstudio::conf 2018 concludes with another great interview! I talk with Ian Lyttle about his personal journey to using R, the value that shiny brings in communicating with customers, and his new package to ease the pain of working with enterprise GitHub installations. I also discuss my key insights and takeaways from the extending tidyverse training and talks I attended. I hope you enjoy this jam-packed episode of the R-Podcast! 54:38 no <h3>Conversation with Ian Lyttle</h3> <ul> <li>Twitter: <a href="https://twitter.com/ijlyttle" target="_blank" rel="nofollow noopener">@ijlyttle</a> | Github: <a href="https://github.com/ijlyttle/" target="_blank" rel="nofollow noopener">github.com/ijlyttle</a> </li> <li>Ian's presentation at <code>rstudio::conf</code> 2018 recording: <a href="https://www.rstudio.com/resources/videos/how-i-learned-to-stop-worrying-and-love-the-firewall/" target="_blank" rel="nofollow noopener">www.rstudio.com/resources/videos/how-i-learned-to-stop-worrying-and-love-the-firewall/</a> </li> <li> <code>bsplus</code> package: <a href="https://ijlyttle.github.io/bsplus" target="_blank" rel="nofollow noopener">ijlyttle.github.io/bsplus/</a> </li> <li> <code>shinychord</code> package: <a href="https://github.com/ijlyttle/shinychord" target="_blank" rel="nofollow noopener">github.com/ijlyttle/shinychord</a> </li> <li> <code>ghenter</code> package: <a href="https://github.com/ijlyttle/ghentr" target="_blank" rel="nofollow noopener">github.com/ijlyttle/ghentr</a> </li> </ul> <h3>Rstudio::conf 2018 takeaways and insights</h3> <ul> <li>Advanced R 2nd Edition new chapters: <ul> <li>Expressions: <a href="https://adv-r.hadley.nz/expressions.html" target="_blank" rel="nofollow noopener">adv-r.hadley.nz/expressions.html</a> </li> <li>Quasiquotation: <a href="https://adv-r.hadley.nz/expressions.html" target="_blank" rel="nofollow noopener">adv-r.hadley.nz/expressions.html</a> </li> <li>Evaluation: <a href="https://adv-r.hadley.nz/evaluation.html" target="_blank" rel="nofollow noopener">adv-r.hadley.nz/evaluation.html</a> </li> <li>Translating R Code: <a href="https://adv-r.hadley.nz/translation.html" target="_blank" rel="nofollow noopener">adv-r.hadley.nz/translation.html</a> </li> </ul> </li> <li> <code>lobstr</code> package: <a href="https://github.com/r-lib/lobstr" target="_blank" rel="nofollow noopener">github.com/r-lib/lobstr</a> </li> <li>Recordings from all sessions on RStudio site: <a href="https://www.rstudio.com/resources/webinars/#rstudioconf2018" target="_blank" rel="nofollow noopener">rstudio.com/resources/webinars/#rstudioconf2018</a> </li> <li>Collection of presentation links: <a href="https://github.com/simecek/RStudioConf2018Slides/" target="_blank" rel="nofollow noopener">github.com/simecek/RStudioConf2018Slides/</a> </li> <li>Presentations by RStudio staff: <a href="https://github.com/rstudio/rstudio-conf/tree/master/2018/" target="_blank" rel="nofollow noopener">github.com/rstudio/rstudio-conf/tree/master/2018/</a> </li> <li> <code>rstudio::conf</code> 2018 summary (Paul van der Laken): <a href="https://paulvanderlaken.com/2018/02/08/rstudioconf-2018-summary/" target="_blank" rel="nofollow noopener">paulvanderlaken.com/2018/02/08/rstudioconf-2018-summary</a> </li> <li>Rewriting the R organism at <code>rstudio::conf</code> 2018 (John David Smith): <a href="https://goo.gl/rGfqip" target="_blank" rel="nofollow noopener">goo.gl/rGfqip</a> </li> <li>David Miller's slides on <code>rstudio::conf</code> 2018: <a href="https://github.com/dill/rstudioconf2018-summary/blob/master/talk.Rmd" target="_blank" rel="nofollow noopener">github.com/dill/rstudioconf2018-summary/blob/master/talk.Rmd</a> </li> <li>Recap of <code>rstudio::conf</code> 2018 (Colby Ford): <a href="https://www.blue-granite.com/blog/rstudio-conference-2018-recap" target="_blank" rel="nofollow noopener">www.blue-granite.com/blog/rstudio-conference-2018-recap</a> </li> <li>Highlights from <code>rstudio::conf</code> 2018 (Methods Consultants blog): <a href="https://blog.methodsconsultants.com/posts/highlights-from-rstudio-conf-2018/" target="_blank" rel="nofollow noopener">blog.methodsconsultants.com/posts/highlights-from-rstudio-conf-2018/</a> </li> <li> <code>lobstr</code> package: <a href="https://github.com/r-lib/lobstr" target="_blank" rel="nofollow noopener">github.com/r-lib/lobstr</a> </li> </ul> <h3>Listener feedback</h3> <ul> <li>A completely subjective ranking of data science podcasts: <a href="https://tonyelhabr.rbind.io/posts/data-science-podcasts/" target="_blank" rel="nofollow noopener">tonyelhabr.rbind.io/posts/data-science-podcasts</a> </li> </ul> <h3>Feedback</h3> <ul> <li>Leave a comment on this episode's <a href="https://r-podcast.org/25" target="_blank" rel="nofollow noopener">post</a> </li> <li>Email the show: <code>thercast[at]gmail.com</code> </li> <li>Use the R-Podcast <a href="https://r-podcast.org/contact" target="_blank" rel="nofollow noopener">contact page</a> </li> <li>Leave a voicemail at <code>+1-269-849-9780</code> </li> </ul> <h3>Music Credits</h3> <ul> <li>Opening and closing themes: <strong>Training Montage</strong> by <a href="http://ocremix.org/artist/5043/willrock" target="_blank" rel="nofollow noopener">WillRock</a> from the <a href="http://ocremix.org/events/returnallrobots/" target="_blank" rel="nofollow noopener">Return All Robots Remix Album</a> at <a href="http://ocremix.org/" target="_blank" rel="nofollow noopener">ocremix.org</a> </li> </ul> Conversation with Ian Lyttle

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

]]> Conversation 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

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