A collection of presentations, tutorials, announcements, and guest posts for the Omaha R Community

NCAA College Bowl Pick'em Predictions

Thomas Roh

*Please read the Terms of Use if you are going to use the data This is the code from my presentation last week at the Omaha R User Group Meeting. A fun competition every year is to pick the winners for each college football bowl. I wanted to build a data-driven model to help me make this year’s picks. This post will walk through the process of obtaining data for predictions, building a couple predictive models, and then compare the results of the models. [Read More]

Omaha R User Group Meeting

January 18th, 2018 3:00-4:30 pm

Do Space

7205 Dodge St

Omaha, NE 68114

The January R User Group Meeting will include presentations from Branden Collingsworth on using the Spotify API in R to analyze song characteristics, Thomas Roh will show predictive modeling for College Football Bowl Predictions, and Kelly Pook will present on College Football Graph Theory.


Garth Highland

Visualizing Data Using the Functional Boxplot library(fda) data(growth) girls=growth$hgtf age=growth$age The Berkley growth data found in the fda package is an excellent example of functional data. Here we consider each growth curve to be one observation. With data of this type there are a couple of plotting avenues we might take: over plotting or sequential boxplots. These methods aren’t inherently “incorrect”, but limitations to their interpretability exist especially when encountered with larger data sets. [Read More]

Omaha R User Group Meeting

Omaha R User Group Meeting October 24th, 2017 3:00-4:30 pm Do Space 7205 Dodge St Omaha, NE 68114 Please join us for the first R Omaha User Group Meeting on Tuesday October 24th. We will have an introduction for the group, open discussion on the current state of R as well as two featured presentations. Branden Collingsworth will introduce the purrr package from the tidyverse and Garth Highland will showcase the use of functional boxplots. [Read More]

Submitting a Post with Blogdown

Thomas Roh

Set up You will first need to set up an account on github and install git. Next, make a copy of the repository into your desired workspace. I like to keep all of my version controlled projects under one directory. Open up a command terminal of your choosing and use the following: cd #[working directory] git clone https://github.com/omahar/omahar.git git branch #[new branch] git checkout #[new branch] git push --set-upstream origin #[new branch] After the initial set up you can open the R Project in Rstudio and use the IDE to handle most of the work you will need to do in git. [Read More]