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R has many ways to store information. Most of the time, our data comes in the form of a dataset, which we bring into R as a data.frame object. However, there are times when we want to use matrices as well. This post will show you how matrices can...

One of the big differences between a language like Stata compared to R is the ability in R to handle many different types of objects at once, and combine them together or pull them apart. I had a post about objects last year, but I thought I'd sh...

Ah, the Central Limit Theorem. The basis of much of statistical inference and how we get those 95% confidence intervals. It's just so beautiful! Lately, I have found myself looking up the normal distribution functions in R. They...

I recently had to convert a dataset that I was working with from a wide format to a long format for my analysis. I struggled with this a bit, but finally found the right sources and the right package to do it, so I thought I'd share my practical ...

I love R. I think it's intuitive and clever and overall a great language. But I do get really annoyed sometimes at the completely ridiculous, cryptic error messages it often gives me. This post will go over some of those seemingly nonsensical err...

My experience when starting out in R was trying to clean and recode data using for() loops, usually with a few if() statements in the loop as well, and finding the whole thing complicated and frustrating.In this post, I'll go over how you can avoi...