Title This is an R Markdown document. Markdown is a simple formatting syntax for authoring web pages (click the MD toolbar button for help on Markdown). When you click the Knit HTML button a web page will be generated that includes both content as well as the output of any embedded R code chunks within
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
I’m happy to present episode 10 of the R-Podcast! Season 1 of the R-Podcast concludes with part 2 of my series on data munging, in which I discuss issues surrounding importing data sets contained in HTML tables. I share how I used the XML and RCurl packages to validate and import data from hockey-reference.com for
It’s great to be back with a new episode after an eventful break! This episode begins a series on my adventures in data munging, a.k.a data processing. I discuss three issues that demonstrate the flexibility and versatility R brings for recoding messy values, important inconsistent data files, and pinpointing problematic observations and variables. We also
Here is the second screencast episode of the R-Podcast to accompany episode 8 of the R-Podcast: Visualization with ggplot2. In this screencast I demonstrate a real-time session of using ggplot2 to create boxplots for a visualization of hockey attendance in the NHL. The R code created in this screencast is available in our GitHub repository,
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
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
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.
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
Zero Inflated Models and Generalized Linear Mixed Models with R.
Zuur, Saveliev, Ieno (2012).
