This is a slide set describing a NLP model used to predict most-likely next words based on a sequence of user-entered words. There is a link in the slides to an accompanying Shiny app that is a demonstration of the NLP model.

This analysis uses bayesian model averaging to create a linear regression model for predicting movie popularity based on movie characteristic data.

This report covers the exploratory analysis of a text corpus used to build a model for predicting text input based upon the sequence of words previously entered.

This analysis uses feature movie characteristics (MPAA rating, runtime length, genre, etc.) to attempt to predict the future popularity of movies prior to their release.

This report evaluates recent changes in public opinion of federal space program spending based on GSS data.

The intent of this analysis is to identify specific physical exercise activities from data acquired by wearable biometric sensors.

This is an analysis of the mtcars data set in the R datasets package exploring the research question of whether an automatic or manual transmission is better for overall vehicle miles per gallon (mpg) fuel efficiency.

This analysis makes use of data from a personal activity monitoring device to identify differences between weekday and weekend walking activity patterns.

This is a report on an analysis of the ToothGrowth data in the R datasets package exploring the research question of whether the data shows differences in tooth growth depending on supplements administered and the supplement dosage.

This is an R Presenter slideset that goes along with the pMPG shiny applet available at http://jeffspoelstra.shinyapps.io/pMPG-applet/

This report provides an analysis of the most damaging and most injurious/fatal weather events in the U.S. from 1950 to 2011 based upon the U.S. National Oceanic and Atmospheric Administration's (NOAA) storm database.