In anticipation of the upcoming Introduction to R workshop in New York on October 22, there will be a special webinar.
R is incredibly powerful software, but getting started with it can be confusing. In this presentation, I will discuss reasons why R is worth the effort it takes to learn. These include fast, efficient, and reproducible data analysis, high-quality data visualization, and doing everything from data importing to final reporting in a single tool. The presentation will include an overview of what R is, how it works, and what it can do for you.
Video of Webinar
Here are a few resources mentioned on the webinar. First, check out the resources page, which has resources from multiple websites. In addition, the free Getting Started course is a great place to take your first steps with R.
Once you’re on the R train, there are lots of places you can get help, including:
- Check out the R for Data Science learning community. They organize the Tidy Tuesday project, which is where people get a new dataset each week to analyze and visualize.
- The #rstats hashtag is where people ask and get questions answered on Twitter.
On the webinar, there was a question about social network analysis in R. While I haven’t done that type of work myself, there are several packages for it. This article from Jesse Sadler mentions a few of them.
Another question was about qualitative analysis in R. The package that I mentioned that’s in development is qcoder. The other option I suggested is called tidytext. It does more automated analyses of text data. The best place to learn about it is the Text Mining with R book.
If you have any further questions, please contact me!
Hi, I’m David.
Think you know what an R user looks like? I’m probably not what you have in mind.
I started R for the Rest of Us to be that guide. Yes, you can learn R on your own. But working with me will help you go from novice to expert much, much faster than you could on your own.
I’m not a hardcore quant (my PhD is in anthropology). I’m not a coder ready to jump on you for any small mistake.
I want to help others avoid the pain that I went through learning R.
A teacher at heart (shoutout to my former second grade students), I make R less scary and more fun (yes, fun).
Want to see how I use R? Take a look at some of the data visualizations I’ve created for organizations looking to increase their social impact.