When I started graduate school, I thought Microsoft Excel and TurboTax were essentially the same programs, and if I needed to make tables of any kind, I created them in Microsoft Word. So I come from a place of understanding when I meet language scientists who are hesitant to familiarize themselves with R. But R is amazing, and I have become somewhat of a proselytizer to fellow humanities-majors-who-somewhat-accidentally-became-scientists about using R.
With my colleague Jason Gullifer, I created, designed, and taught a course at Penn State University entitled "Data Processing and Analysis for Language Scientists Using the R Statistical Package." The goal of this course was primarily to familiarize the smart and talented group of graduate students in Penn State's Department of Psychology and Center for Language Science who had little to no programming knowledge with the capabilities and functions of R as applied to their research programs.
With my colleague Jason Gullifer, I created, designed, and taught a course at Penn State University entitled "Data Processing and Analysis for Language Scientists Using the R Statistical Package." The goal of this course was primarily to familiarize the smart and talented group of graduate students in Penn State's Department of Psychology and Center for Language Science who had little to no programming knowledge with the capabilities and functions of R as applied to their research programs.
Here are some of the resources Jason and I pulled together for our class: