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.
I posted a new preprint named “List-columns in data.table: Nesting and unnesting data tables and vectors” in PsyArXiv. It can be downloaded here. It has been submitted to the R Journal (Oct 2019) so updates to the manuscript may follow some feedback.
I posted a new preprint named “Six Reasons to Consider Using R in Psychological Research” in PsyArXiv. It can be downloaded here.
I get a lot of questions about how to investigate missing values in a data set. So I’m putting this short post together to help me better explain how to handle it.
I’ve been studying two main topics in depth over this summer: 1) data.table and 2) Bayesian statistics. I’ve loved learning both and, in this post, I will combine them into a single workflow.
The data.table package has been a fun thing to learn about this week.
I am really enjoying quantitative text analysis as of late, sparked by a
project I helped on regarding Autoscore.
I’ve also had the desire to use data.table more often in my work. A
post
showing data.table being used with pipes (which I tweeted about
here)
got me really going.