Kansas Voting Data Dashboard

Voting information is publicly available, but often hard to access. This dashboard is aimed at making this information easier for people who are trying to promote civic health and engagement in Kansas get the information they need. You can visit the dashboard here. In the coming weeks, there will be an accompanying website with blog posts and deeper analyses using these data.


Social and personality psychologists often use Andrew Hayes's user-friendly PROCESS macro for SPSS to easily run moderation and mediation analyses. The University of Kansas psychology graduate program (rightly so) teaches students how to do analyses in R, so I wrote R code to run the equivalent of PROCESS macro analyses for some of the more popular models, including: moderation (and simple slope analyses), simple mediation, and moderated mediation (calculating Hayes's index of moderated mediation statistic). An introduction is found on RPubs, and you can also install the package from GitHub.


People monitoring diseases need high quality emergency room data to make high quality inferences. At the Kansas Department of Health and Environment, I wrote a series of R functions to help with tracking data quality from the National Syndromic Surveillance Program's BioSense platform. I put all of these into a package in hopes that it might be of use to syndromic surveillance departments in other states. An introduction and installation instructions for the package can be found on GitHub.


This is a simple package of miscellaneous functions I wrote that I wanted to be able to easily access. The name was supposed to be "miscellaneous" with all of the vowels removed, but I forgot to take one "e" out and only kept one "l" in the name. Oh well. You can find this package at GitHub. I think it has a really handy function if you are doing a bunch of t-tests—it will give you means, standard deviations, the t-statistic, degrees of freedom, the p-value, and a Cohen's d with it's 95% confidence interval. Download the package using the instructions at the GitHub page and check out that function by typing in ?t_table().