AFRL/AFMC R Programming Workshop

Presented by the AFIT Data Science Lab

Maj. Jason Freels, PhD & Brad Boehmke, PhD

28/29 March 2017

This training event was sparked at a Tableau User Group (10/2016)
- Dr Suman Goel & Jeff Haines expressed that many in AFRL either currently use or are interested in using R
- Users find it difficult to make traction in R due to the lack of available training resources
AFIT has received many requests for assistance in data science research and education
Goals for this training
- Serve the data science needs of AFRL/AFMC workforce
- Present AFIT’s capabilities for data science training and research
- Gain insight on what types of training are needed moving forward

The Data Science Lab is an extension of the AFIT education and research mission that focuses on promoting evidence-based decision making by developing, implementing, and teaching the art of integrating advanced analytic techniques, large and complex datasets, and computer programming.
- Cross-disciplinary research group - involvement across AFIT
- Partnered with organizations across DoD & academia

Advanced Analytic Techniques
- Supervised learning
- Clustering
- Dimensionality reduction
- Outlier detection
- Text mining
Improved Access To Complex Data
- Reducing data footprint
- Improving accessibility
- Data quality
Analytic Data Products
- Dynamic reports
- Shiny apps & gadgets
- R package development
- API development
Data Science Education
- New OPER electives
- OPER specialty in data science
- Certificate program
- CPE short courses

Assistant Professor of Systems Engineering
Department of Systems Engineering & Management (AFIT/ENV)
Adjunct Professor at Wittenberg University
Master of Science in Advanced Analytics
Published R packages
- learningCurve - An Implementation of Crawford’s and Wright’s Learning Curve Production Functions
- kraljicMatrix - A Quantified Implementation of the Kraljic Matrix
Packages in work
- teachingApps - Fast and easy development of shiny apps & gadgets
- SMRD - Statistical Methods for Reliability Data
- gonogo - Implementation of three-phase optimal designs (3pod)
- AFIT - Custom rmarkdown templates for DoD academic documents
- publicLibs - Retreive, analyze, and visualize data on U.S. public libraries

Assistant Professor of Logistics and Supply Chain Management
Department of Operational Sciences (AFIT/ENS)
Adjunct Professor at University of Cincinnati
Master of Science in Business Analytics
Author of Data Wrangling in R
Published R packages
- learningCurve
- kraljicMatrix
Packages in work
- teachingApps - Fast and easy development of shiny apps & gadgets
- gonogo - Implementation of three-phase optimal designs (3pod)
- anomalyDetection - Implementation of Augmented Network Log Anomaly Detection Procedures

AFSPC certified a collection of tools known as R Suite 1.0
- R (v3.2.5)
- RStudio IDE (v0.98.1105)
- JAGS - ‘Just Another Gibbs Sampler’ (v3.4)
Several arrangements were made to certify R
- Establishment of an R ‘Program Office’
- Required to track software installations

AFIT DSL is working with Mr. Hutto & AFSPC to certify an updated collection of tools
- R (v3.3.2+)
- RStudio IDE (v1.0.136)
- JAGS (v4.2)
- Rtools (maybe)
Each base has its own approval process
Organizations may add another layer