web02.fireside.fm Tue, 05 May 2026 20:09:45 -0500 Fireside (https://fireside.fm) The R-Podcast - Episodes Tagged with “R” https://r-podcast.fireside.fm/tags/r Thu, 15 Feb 2018 16:00:00 -0500 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 Yihui Xie Returns (rstudio::conf 2018) https://r-podcast.fireside.fm/24 1eefeddc-2528-48a5-8875-e45828bb78ca Thu, 15 Feb 2018 16:00:00 -0500 Eric Nantz 24 Yihui Xie Returns (rstudio::conf 2018) full Eric Nantz 44:40 no <p>Our coverage of <code>rstudio::conf</code> 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 <code>blogdown</code> and <code>bookdown</code> could lead to a streamlined publishing worflow, and much more. I hope you enjoy this episode!</p> <h3>Conversation with Yihui Xie</h3> <ul> <li>Yihui's supplemental post: <a href="https://yihui.name/en/2018/02/r-podcast/" target="_blank" rel="nofollow noopener">yihui.name/en/2018/02/r-podcast/</a> </li> <li>Rbind project: <a href="https://support.rbind.io/about/" target="_blank" rel="nofollow noopener">support.rbind.io/about/</a> </li> <li>The New and Improved R-Podcast Site: <a href="https://support.rbind.io/2017/04/27/r-podcast-website/" target="_blank" rel="nofollow noopener">support.rbind.io/2017/04/27/r-podcast-website/</a> </li> <li>REWORK: <a href="https://basecamp.com/books/rework" target="_blank" rel="nofollow noopener">basecamp.com/books/rework</a> </li> <li> <code>blogdown</code>: Creating websites with R Markdown (available online and print): <a href="https://bookdown.org/yihui/blogdown/" target="_blank" rel="nofollow noopener">bookdown.org/yihui/blogdown/</a> </li> <li>Keeping up with blogdown (Mara Averick): <a href="https://maraaverick.rbind.io/2017/10/keeping-up-with-blogdown/" target="_blank" rel="nofollow noopener">maraaverick.rbind.io/2017/10/keeping-up-with-blogdown/</a> </li> </ul> <h3>Feedback</h3> <ul> <li>Leave a comment on this episode's [post]({{&lt; ref "024-rstudioconf-yihui-xie.md" &gt;}})</li> <li>Email the show: <code>thercast[at]gmail.com</code> </li> <li>Use the R-Podcast [contact page]({{&lt; ref "contact.md" &gt;}})</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> 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

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

]]> 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

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

]]> Episode 23: rstudio::conf 2018 Chats with Romain Francois and Thomas Lin Pedersen https://r-podcast.fireside.fm/23 947ce4f4-bf7b-4c5a-ae06-fba6e5d31aa8 Sat, 03 Feb 2018 06:45:00 -0500 Eric Nantz 23 Episode 23: rstudio::conf 2018 Chats with Romain Francois and Thomas Lin Pedersen full Eric Nantz 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! 53:35 no <p>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! </p> 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!

]]> 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!

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