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  • Posts
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    • R Tip – Directly Access the REDCap API from R
    • Optical Mark Recognition – On The Cheap
    • Using match() to recode in R
    • Optical Mark Recognition – Example for the Udai OMR Tool
    • Write your own! On having better habits as an R programmer
    • Intro to Shiny – Talk for the Greater Cleveland R Group
    • Docker and R – Talk for the Greater Cleveland R Group
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    • We stopped dreaming – Neil deGrasse Tyson
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    • This One Chart Perfectly Sums Up Why Most Posts That Start This Way Are Total Lies!!!
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Docker and R – Talk for the Greater Cleveland R Group

I was able to give a talk recently to the Greater Cleveland R Group about using Docker and R together. Docker is a virtualization platform that uses OS-level virtualization to provide containers. It’s pretty neat, so I wanted to share the talk here. Big thanks to Tim Hoolihan for both organizing the R User Group in Cleveland, and also filming and nicely editing my video when part of the presentation unexpectedly did not work.

September 4, 2017 Read
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Intro to Shiny – Talk for the Greater Cleveland R Group

I was able to give a talk recently to the Greater Cleveland R Group about Shiny, the R package that lets you build web apps for data visualization and analysis using R. It’s a pretty neat package, and I wanted to share my slides, code, and presentation here. My thanks to Gaurav Narain Saxena for recording the presentation for me! Code Slides

June 27, 2015 Read
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Write your own! On having better habits as an R programmer

I contribute responses to Stack Overflow pretty frequently. I like answering well-written questions and enjoy that it keeps my skills sharp. However, one area of annoyance for me on Stack Overflow is that many answers start with something like: “You can do this using the <package name> package” - even when the task at hand can be handled in base R. For many posters, that’s probably not a big deal, but I find myself getting those answers occasionally on my questions, even when I explicitly ask for base R solutions.

June 9, 2015 Read
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Optical Mark Recognition – Example for the Udai OMR Tool

On Google+, a user recently hit up one of my older posts about using an open-source, Java-based optical mark recognition (OMR) tool that I found and played with awhile back. I promised that I would dig and see if I had any working templates, etc, left, and I do! I’ve linked a public Google Drive folder where I’ve put this stuff. Basically, what you get here are: my notes from when I was using this before a batch script I wrote to connect it all the asc, config, and fields files for the template_trial the original Word documents and PNG files used to create the template (/projects/trial) six PNG files created from this template you can use to test the script (/trial_pg1) I just ran the script again and it seemed to work fine on my system (Windows 7, 64-bit), and this was initially developed on an x86 Windows XP box.

November 26, 2012 Read
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Using match() to recode in R

Nice and simple write-up on how to do this; reposting because I happen to be doing it tonight!

October 25, 2012 Read
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Optical Mark Recognition – On The Cheap

At my job about a year ago, my coordinator asked me to look into using some kind of optical mark recognition (OMR) program to read surveys that we were administering, to cut down on the burden of data entry. There are a lot of commercial programs for OMR, but we wanted to avoid spending any money, so I did a little research and stumbled across this gem, the Udai OMR tool.

July 15, 2011 Read
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R Tip – Directly Access the REDCap API from R

Note: As will be obvious, this example comes from a Windows XP platform. I stumbled across this earlier and thought it would be a useful statistics tip to share with the world. Those of you working in health care research may already know about REDCap, which stands for Research Electronic Data Capture. It’s a project out of Vanderbilt University that’s designed to improve research by allowing easy creation of “databases”. I say that loosely because each project is basically a single table, with little in the way of relational structures.

July 14, 2011 Read
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