Blog Archives

Introduction of the pdfsearch package

December 2, 2016
By

I'm happy to introduce an add-on package, pdfsearch, that adds the ability to do keyword searches on pdf files. This add-on package uses the excellent pdftools package from the ropensci project to read in pdf files and perform keyword searches based ch...

Read more »

Extending accessibility of open-source statistical software to the masses A shiny case study

October 6, 2016
By

Extending accessibility of open-source statistical software to the masses: A shiny case study Brandon LeBeau University of Iowa R R is an open source statistical programming language. Pros: Common statistical procedures are found...

Read more »

Simulation and power analysis of generalized linear mixed models

June 28, 2016
By
Simulation and power analysis of generalized linear mixed models

Simulation and power analysis of generalized linear mixed models Brandon LeBeau University of Iowa Overview (G)LMMs Power simglm package Demo Shiny App! Linear Mixed Model (LMM) Power Power is the ability to statistica...

Read more »

Interactively building test forms from an IRT perspective An application of R and Shiny

February 18, 2016
By
Interactively building test forms from an IRT perspective An application of R and Shiny

Interactively building test forms from an IRT perspective: An application of R and Shiny Brandon LeBeau University of Iowa Overview R R is an open source statistical programming language. Pros: Common statistical procedures...

Read more »

Web Scraping to Item Response Theory – A College Football Adventure

December 4, 2015
By
Web Scraping to Item Response Theory – A College Football Adventure

Web Scraping to Item Response Theory: A College Football Adventure Brandon LeBeau, Andrew Zieffler, and Kyle Nickodem University of Iowa & University of Minnesota Background Began after Tim Brewster was fired Wanted to try to predict next great coach Data Available Data is available at three levels Coach Game by Game Team Coach Data Overall record Team history Not Available Coordinator history Example Coach Data ## Year...

Read more »

Speed test of sequence generation for unbalanced simulation

March 30, 2015
By

I have a simulation package that allows for the simulation of regression models including nested data structures. You can see the package on github here: simReg. Over the weekend I updated the package to allow for the simulation of unbalanced designs. ...

Read more »

Remove leading 0 with ggplot2.

March 22, 2015
By
Remove leading 0 with ggplot2.

I recently had an occasion while working on a three variable interaction plot for a paper where I wanted to remove the leading 0's in the x-axis text labels using ggplot2. This was primarily due to some space concerns I had for the x-axis labels. Unfor...

Read more »

Structured simulation of regression models – simReg package.

September 30, 2014
By

I'd like to introduce a package that simulates regression models. This includes both single level and multilevel (i.e. hierarchical or linear mixed) models up to two levels of nesting. The package produces a unified framework to simulate all types of c...

Read more »

Google location data — Where I’ve been.

September 25, 2014
By
Google location data — Where I’ve been.

I was emailed by a friend that was looking into their google location data and had asked if I had ever used a json file before in R. I said I had not, but I knew there were packages to do such things. The things I sent were things he had already tried,...

Read more »

Offense or defense improve likelihood of becoming bowl eligible?

September 4, 2014
By
Offense or defense improve likelihood of becoming bowl eligible?

I saw a post recently about the likelihood of a baseball team winning based on how many runs, hits, and other baseball statistics. I liked the idea and thought of applying that to college football. Particularly, I'm interested in knowing whether scorin...

Read more »

Sponsors

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)