I am an #rstats and open science enthusiast. I currently work at Highmark Health, managing a team of researchers. Outside of my day job, I serve as a methodologist on several research teams, and develop accessible data tools. This site contains my blog and other open resources for learning data analysis.
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.
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.
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).
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.
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.
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.