I am a Clinical Data Scientist and #Rstats Enthusiast. I am a Research Assistant Professor at Utah State University. In addition to my own research, I consult on data science issues for the college (including public health, education, psychology, and other social sciences).

# rinstalled for Keeping Your Packages When Updating R

When we update R to a new version, the packages you downloaded for the previous version won’t get loaded. Some code has been dispersed to take care of this, but there are so notably shortcomings to this.

# Using Jamovi: Chi Square

This post is part of a series–demonstrating the use of Jamovi–mainly because some of my students asked for it. Notably, this is using version 0.8.6.0. Today’s topic is correlation and linear regression.

# Using Jamovi: Logistic Regression

This post is part of a series–demonstrating the use of Jamovi–mainly because some of my students asked for it. Notably, this is using version 0.8.6.0. Today’s topic is logistic regression (with a binary outcome).

# Using Jamovi: Correlation and Regression

This post is part of a series–demonstrating the use of Jamovi–mainly because some of my students asked for it. Notably, this is using version 0.8.6.0. Today’s topic is correlation and linear regression.

# Using Jamovi: Introduction

Jamovi is a new piece of software that makes running most basic analyses quicker, easier, and better. Shockingly, this is a free program based on the R programming language. It has the goal of “free and open software to bridge the gap between researcher and statistician.” Needless to say, it is worth taking a look if you are doing some basic analyses and don’t want to pay for SPSS or SAS, or learn how to use R. It provides informative tables and neat visuals.

# Using the afex R package for ANOVA (factorial and repeated measures)

We recently switched our graduate statistics courses to R from SPSS (yay!). It has gone fairly well. However, once we get into ANOVA-type methods, particularly the repeated measures flavor of ANOVA, R isn’t as seamless as almost every other statistical approach. As such, my colleague Sarah Schwartz found the afex package that looks like it can be helpful in simplifying the code and increasing the amount of useful information obtained.