May 232013
 

It’s an episode of firsts on the R-Podcast! In this episode recorded on location I had the honor and privilege of interviewing Yihui Xie, author of many innovative packages such as knitr and animation. Some of the topics we discussed include:

  • Yihui’s motivation for creating knitr and some key new features
  • How markdown plays a key role in making reproducible research more accessible
  • An innovative approach for publishing and maintaining reproducible statistical results online

And much more on this “lucky” episode 13 of the R-Podcast!

Episode 13 Show Notes

Resources mentioned during interview with Yihui

R Community Roundup

Package pick

  • Pandoc: Powerful and customizable document conversion

How to interact with the show

  • Submit your questions and comments via the R-Podcast contact page, or send an email to theRcast(at)gmail.com
  • Send in an audio comment via audio attachment to theRcast(at)gmail.com, or leave a voicemail on the R-Podcast voicemail hotline: +1-269-849-9780
  • Get show updates via our Twitter account: @theRcast
  • Follow us on our R-Podcast Google Plus page: gplus.to/thercast
  • Provide your favorite R community links at the R-Podcast subreddit: links.r-podcast.org/

Music Credits

Apr 012013
 

This is not an April Fool’s joke … The R-Podcast is back once again! In this episode, I discuss the concept of version control and how you can get started with using the Git VCS right now with your R projects. Also I discuss a big batch of listener feedback, and highlight a couple of great visualization applications from the community using ggplot2. All of that and more on episode 12 of the R-Podcast!

Episode 12 Show Notes

The basics for version control and Git

Listener Feedback

R Community Roundup

Package pick

  • reports: An R package to assist in the workflow of writing academic articles and other reports (via TRinker’s blog)

How to interact with the show

  • Submit your questions and comments via the R-Podcast contact page, or send an email to theRcast(at)gmail.com
  • Send in an audio comment via audio attachment to theRcast(at)gmail.com, or leave a voicemail on the R-Podcast voicemail hotline: +1-269-849-9780
  • Get show updates via our Twitter account: @theRcast
  • Follow us on our R-Podcast Google Plus page: gplus.to/thercast
  • Provide your favorite R community links at the R-Podcast subreddit: links.r-podcast.org/

Music Credits

Nov 132012
 

Season 2 of the R-Podcast is up and running! This episode begins a multi-part series on reproducible analysis using R. In this episode I discuss the usage of Sweave and LaTeX for producing reproducible reports, an introduction to the capabilities of the knitr package (more episodes will be coming dedicated to this package), and my motivation for adapting reproducible analysis techniques and tools into my workflow. In our listener feedback segment I discuss a new means of providing feedback to the R-Podcast using our new sub-reddit page and introduce new segments highlighting interesting stories around the R community and useful packages. This promises to be an exciting season of the R-Podcast, and I hope you enjoy this episode!

The following resources are mentioned in this episode:

Episode 11 Time Stamps

00:00 The R-Podcast #011 Reproducible Analysis Part 1
00:40 Introduction
02:43 Reproducible Research: Introduction
08:18 Sweave overview
16:20 Knitr overview
20:20 The Duke University Research Saga
30:56 What version control can offer
38:34 Presenting results
42:18 Listener feedback
60:55 R community roundup
69:39 Package pick: plyr
72:04 Wrapping up: subscribe at www.r-podcast.org, theRcast@gmail.com, + 1-269-849-9780, Twitter @theRcast, Google Plus, links.r-podcast.org
77:21 End
Jun 202012
 

I’m happy to present this jam-packed episode of the R-Podcast dedicated to using the ggplot2 package for visualization. This episode will have a companion screencast released in the next few days. I use data from the Hockey Summary Project to demonstrate how to create a series of boxplots of NHL regular season attendance for each team. The R code used in this episode will be available via GitHub. I also extend my thanks to the Going Linux podcast for plugging the R-Podcast. If you are interested in providing a listener tip about R, please call the voicemail hotline at +1-269-849-9780 or record an audio clip and send it to theRcast(at)gmail.com. Please keep the wonderful feedback coming and hope you enjoy this episode!

The following resources are mentioned in this episode:

Episode 8 Time Stamps

00:00 The R-Podcast #008 Visualization with ggplot2
00:34 Introduction
01:45 Thank you Going Linux
05:01 Listener feedback
14:14 ggplot2 background and philosophy
23:00 Description of data 
30:20 Setting up our plot with ggplot function
38:15 Adding boxplot layer
44:31 Customizing appearance
60:35 Facet by era
67:02 Making code reproducible
73:03 Helpful ggplot2 resources
85:30 Wrapping up: subscribe to the podcast, theRcast@gmail.com, + 1-269-849-9780, Twitter @theRcast
89:29 End
May 282012
 

Hello everybody, I am finally back with a new episode! In this episode: Hardware issues, major update to RStudio, new forums, and discussion on managing your workflow for projects. I discuss useful functions for executing R scripts and saving/loading R objects for future sessions, and summarize different solutions for organizing R code based on task and via the ProjectTemplate package, along with the importance of version control. Please check out the new forums and let me know what you think! If you are interested in providing a listener tip about R, please call the voicemail hotline at +1-269-849-9780 or record a short mp3 or ogg audio clip and send it to theRcast(at)gmail.com . As always I welcome any other feedback you have. Thanks for listening!

P.S. From our Google Plus page, Darren pointed out that I switched forward slashes with backward slashes in my discussion about file paths in Episode 6. Thanks Darren!

The following resources are mentioned in this episode:

Episode 7 Time Stamps

00:00 The R-Podcast #007 Best Practices for Workflow Management
00:31 Introduction
01:07 No more TV recording for now
03:40 New forums!
08:25 RStudio update v0.96
12:50 Listener feedback
19:35 Using source(), save(), save.image(), and load()
25:00 load.R, clean.R, func.R, do.R
29:50 ProjectTemplate
40:06 Version Control with Git, RStudio
46:30 Wrapping up: subscribe to the podcast, theRcast@gmail.com, + 1-269-849-9780, Twitter @theRcast
52:44 End
Apr 292012
 

In this episode: Listener feedback and importing data from external sources into R. We dive into the basics of importing delimited text files using read.table and its varients. We also discuss recommendations for importing MS Excel spreadsheet files, relational databases such as MySQL, data from HTML tables, and files produced by other statistical computing packages. If you are interested in providing a listner tip about R in audio format, please call the voicemail hotline at +1-269-849-9780 or record a short mp3 or ogg audio clip and send it to theRcast(at)gmail.com . Hope you enjoy the episode!

The following resources are mentioned in this episode:

Episode 6 Time Stamps

00:00 The R-Podcast #006 Importing Data from External Sources
00:34 Introduction
01:46 Listener Feedback
07:45 Description of delimited text files
09:18 Using read.table and key arguments
18:17 R Data Import-Export Manual
19:10 Importing spreadsheet data considerations
21:10 XLConnect package advantages
25:20 Importing HTML tables using XML package
33:55 Using RMySQL with MySQL databases
43:52 Data from other statistical software
44:18 The foreign package
45:45 sas7bdat package
49:13 Wrapping up: subscribe to the podcast, theRcast@gmail.com, + 1-269-849-9780
53:54 End
Apr 152012
 

After a brief delay here’s episode 5 of the R-Podcast. In this episode: R 2.15.0 released, listener feedback, and discussion on basic package management. I discuss helpful resources for finding packages, installation procedures, and how to determine what packages are installed in your R system, among other considerations. If you are interested in providing a listener tip about R in audio format, please call the voicemail hotline at +1-269-849-9780 or record a short mp3 or ogg audio clip and send it to theRcast(at)gmail.com . Hope you enjoy the episode!

The following resources are mentioned in this episode:

Episode 5 Time Stamps

00:00 The R-Podcast #005 Basic Package Management
00:32 Introduction
01:06 R 2.15.0 "Easter Beagle" released
02:01 Listener Feedback
09:02 What is a package?
12:00 Libraries
13:33 What packages do you have?
19:36 Finding packages
33:26 Installing packages
46:12 Using packages
51:08 Updating packages
58:12 Wrapping up: subscribe to the podcast, theRcast(at)gmail.com, + 1-269-849-9780
61:14 End
Mar 252012
 

In this episode: Site updates, additional screencasts about R from other sites, listener feedback, and discussion on the fundamental data structures for R: vectors, matrices, lists, and data frames. The R code discussed in this episode is available in our GitHub repository, see the show notes for details. Leave us a voicemail a +1-269-849-9780, or send an email or audio comment to theRcast[at]gmail.com. Thanks for listening!

The following resources are mentioned in this episode:

Episode 4 Time Stamps

00:00 The R-Podcast #004 Data Structures-Introduction
00:31 Introduction
01:56 Google Plus info
03:10 Other screencasts about R
05:23 Listener Feedback
08:57 Data Structures
10:40 Vectors
18:30 Matrices
24:17 Lists
31:30 Data Frames
41:36 R Reference Card
43:52 Wrapping up: subscribe to the podcast, theRcast@gmail.com, + 1-269-849-9780, Twitter @theRcast
49:26 End
Mar 112012
 

In this episode: New versions of R and ggplot2 available, listener feedback, and an interactive session with R. The R code discussed in this episode will be available in our GitHub repository, see the show notes for details. There will be a companion screencast to accompany this episode which will be posted shortly. As always, please provide your feedback via email or audio comment to theRcast@gmail.com or leave us a voicemail at +1-269-849-9780.

The following resources are mentioned in this episode:

Episode 3 Time Stamps

00:00 The R-Podcast #001 Introduction
00:00 The R-Podcast #003 Getting Ready to Use R
00:31 Introduction
01:17 New versions of R and ggplot2
03:17 Code on GitHub Repository
05:36 Screencast information
08:09 Listener Feedback
16:18 Basic Interaction with R
16:40 The R Console
19:51 Example R script file
55:20 Wrapping up: subscribe to the podcast, theRcast@gmail.com, + 1-269-849-9780
61:11 End
Feb 262012
 

In this episode: A couple of site updates, our first listener feedback, an overview of installing R on each major platform, and an overview of R IDEs and helpful resources for getting started with R. If you would like to provide feedback, please send an email or audio comment to theRcast@gmail.com or leave us a voicemail at +1-269-849-9780.

The following resources are mentioned in this episode:

Episode 2 Time Stamps

00:00 The R-Podcast #002 Getting Ready to Use R
00:31 Introduction
01:09 Site Updates
03:40 Listener Feedback
07:02 Downloading and Installing R
17:34 R IDEs
26:00 Additional Resources at r-podcast.org/r-resources
27:40 Wrapping up: subscribe to the podcast, theRcast@gmail.com, + 1-269-849-9780
31:34 End