When I was an R newbie, I was taught to load packages by using the command library(package). In my Linear Models class, the instructor likes to use require(package). This made me wonder, are the commands interchangeable? What’s the difference, and […] [Read more...]

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This week, we return to our “Getting Started With R” series. Today we are going to look at some tools from the “dplyr” package. Hadley Wickham, the creator of dplyr, calls it “A Grammar of Data Manipulation.” filter() Use filter() for […] [Read more...]

Today we are going to digress from our ongoing “Intro to R” series, and talk about a subject that’s been on my mind lately: sample sizes. An important question when designing an experiment is “How big a sample do I […] [Read more...]

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This is Part 3 of our “Getting Started with R Programming” series. For previous articles in the series, click here: Part 1, Part 2. This week, we are going to talk about using git and GitHub with RStudio to manage […] [Read more...]

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