Variable names in SAS and R are subject to different “rules and regulations”, and these can be leveraged to your advantage, as I describe in this blog post.
Category Archives: Data Science
Posts about data science topics.
28
Jan
Jan
Referring to variables in processing is different conceptually when thinking about SAS compared to R. I explain the differences in my blog post.
14
Jan
Jan
Counting rows in SAS and R is approached differently, because the two programs process data in different ways. Read my blog post where I describe both ways.
07
Jan
Jan
Native formats in SAS and R of data objects have different qualities – and there are reasons behind these differences. Learn about them in this blog post!
26
Dec
Dec
Looking for a SAS-R integration example that uses the best of both worlds? I show you a use-case where I was in a hurry, and did transformation in R with the analysis in SAS!
Data Science
Dumbbell Plot for Comparison of Rated Items: Which is Rated More Highly – Harvard or the U of MN?
20
Sep
Sep
Want to compare multiple rankings on two competing items – like hotels, restaurants, or colleges? I show you an example of using a dumbbell plot for comparison in R with the ggalt package for this exact use-case!
30
Jul
Jul
Getting data for meta-analysis together can be challenging, so I walk you through the simple steps I take, starting with the scientific literature, and ending with a gorgeous and evidence-based Forrest plot!
26
Nov
Nov
Get to know three of my favorite SAS documentation pages: the one with sort order, the one that lists all the SAS formats, and the one that explains all the SAS operators and expressions!
14
Oct
Oct
I use the datasets from the Behavioral Risk Factor Surveillance Survey (BRFSS) to demonstrate in a lot of my data science tutorials. The BRFSS are free and available to the public – but they are kind of buried on the web site. This blog post serves as a “map” to help you find them!
11
Oct
Oct
I love the Likert package in R, and use it often to visualize data. The problem is that sometimes, I have sparse data, and this can cause problems with the package. This blog post shows you a workaround, and also, a way to format the final plot that I think looks really great!
