I is for I Want to Learn More
This could have easily been a post about a function beginning with the letter I. But I wanted to take the opportunity to share some the resources that really helped...continue reading.
This could have easily been a post about a function beginning with the letter I. But I wanted to take the opportunity to share some the resources that really helped...continue reading.
The tidyverse includes many packages meant to make importing, wrangling, analyzing, and visualizing data easier. The haven package allows you to important files from other statistical software, such as SPSS,...continue reading.
For the letter G, I’d like to introduce a very useful function: group_by. This function lets you group data by one or more variables. By itself, it may not seem...continue reading.
For the letter F – filters! Filters are incredibly useful, especially when combined with the main pipe %>%. I frequently use filters along with ggplot functions, to chart a specific...continue reading.
For the letter E, I want to talk about a set of operators provided by tidyverse (specifically the magrittr package) that makes for much prettier, easier-to-read code: pipes. The main...continue reading.
For the letter D, I’m going to talk about the dummy_cols functions, which isn’t actually part of the tidyverse, but hey: my posts, my rules. This function is incredibly useful...continue reading.
For the letter C, we’ll talk about the coalesce function. If you’re familiar with SQL, you may have seen this function before. It combines two or more variables into a...continue reading.
Moving on to the letter B, today we’ll talk about merging datasets that contain the same variables but add new cases. This is easily done with bind_rows. Let’s say I...continue reading.
The arrange function allows you to sort a dataset by one or more variable, either ascending or descending. This function is especially helpful if you plan on aggregating your data...continue reading.
Announcing my theme for this year’s blogging A to Z!The tidyverse is a set of R packages for data science. The big thing about the tidyverse is making sure your...continue reading.
Via Digg:This data visualization, put together by takeasecond on Reddit, shows the tallest building in all 50 states in 2020. As the graph demonstrates, the current tallest building in America...continue reading.
As I was preparing some graphics for a presentation recently, I started digging into some of the different color palette options. My motivation was entirely about creating graphics that weren’t...continue reading.
As I conduct some analysis for a content validation study, I wanted to quickly blog about a fun plot I discovered today: ggpairs, which displays scatterplots and correlations in a...continue reading.
Stacked Bar Chart for Rank Data At work on Friday, I was trying to figure out the best way to display some rank data. What I had were rankings from...continue reading.
In my last Statistics Sunday post, I briefly mentioned the concept of regular expressions, also known as regex (though note that in some contexts, these refer to different things -...continue reading.
First Statistics Sunday in far too long! It’s going to be a short one, but it describes a great trick I learned recently while completing a time study for our...continue reading.
Two statistical indices crossed my inbox in the last week, both of which use fast food restaurants to measure a concept indirectly.First up, in the wake of recent hurricanes, is...continue reading.
Statistics Sunday: Some Psychometrics Tricks in R It’s been a long time since I’ve posted a Statistics Sunday post! Now that I’m moved out of my apartment and into my...continue reading.
When You Need a New Book to ReadI log all of my books on Goodreads. On top of that, whenever I hear about a new book I have to read,...continue reading.
Statistics Sunday: Visualizing RegressionI had some much needed downtime this weekend, after an exhausting week, along with some self-care – Saturday I had a one-hour deep tissue massage, which left...continue reading.