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useR!2017

Darrin Speegle

Saint Louis University
Professor
St Louis, MO

stat.slu.edu/~speegle

I am interested in wavelets, frames and topological data analysis. I also enjoy using R in the classroom when teaching statistics, and am interested in learning more about that.

Non-professionally, I like to play ultimate frisbee en ek praat Afrikaans.

6:30pm CEST

Sessions for useR! Newbies PLENARY

9:30am CEST

Introduction to parallel computing with R 3.01 Rcpp: From Simple Examples to Machine Learning PLENARY

11:30am CEST

Introduction to parallel computing with R 3.01 Rcpp: From Simple Examples to Machine Learning PLENARY

2:00pm CEST

Introduction to Natural Language Processing with R 3.02 Introduction to optimal changepoint detection algorithms 4.01

4:00pm CEST

Introduction to Natural Language Processing with R 3.02 Introduction to optimal changepoint detection algorithms 4.01

9:30am CEST

KEYNOTE: Structural Equation Modeling: models, software and stories PLENARY

10:30am CEST

COFFEE BREAK CATERING POINTS

11:00am CEST

Transformation Forests 2.02

11:18am CEST

When is an Outlier an Outlier? The O3 plot PLENARY

11:36am CEST

Curve Linear Regression with **clr** 2.01 Distributional Trees and Forests 2.02 Sports Betting and R: How R is changing the sports betting world PLENARY

12:12pm CEST

Maps are data, so why plot data on a map? PLENARY

12:30pm CEST

LUNCH CATERING POINTS

1:30pm CEST

Text mining, the tidy way 4.02

1:48pm CEST

manifestoR - a tool for data journalists, a source for text miners and a prototype for reproducibility software 4.02 We R a Community-making high quality courses for high education accessible for all:The >eR-Biostat initiative PLENARY

2:06pm CEST

A Tidy Data Model for Natural Language Processing 4.02

2:24pm CEST

Text Analysis and Text Mining Using R 4.02

2:42pm CEST

Neural Embeddings and NLP with R and Spark 4.02

3:00pm CEST

COFFEE BREAK CATERING POINTS

3:30pm CEST

Sponsor Talk Data Camp PLENARY

3:45pm CEST

KEYNOTE: Teaching data science to new useRs PLENARY

4:45pm CEST

COFFEE BREAK CATERING POINTS

5:00pm CEST

Navigating the R package universe PLENARY

6:30pm CEST

Poster Reception CATERING POINTS

11:00am CEST

**rags2ridges**: A One-Stop-Go for Network Modeling of Precision Matrices 3.01

11:18am CEST

Differentiation of brain tumor tissue using hierarchical non-negative matrix factorization 2.01

11:36am CEST

factorMerger: a set of tools to support results from post hoc testing 3.01 Scraping data with rvest and purrr 4.02

11:54am CEST

The growing popularity of R in data journalism PLENARY

12:12pm CEST

FFTrees: An R package to create, visualise and use fast and frugal decision trees PLENARY

12:30pm CEST

LUNCH CATERING POINTS

1:30pm CEST

R-based computing with big data on disk 2.01

1:48pm CEST

Deep Learning for Natural Language Processing in R 3.02

2:06pm CEST

Statistics in Action with R: an educative platform PLENARY

2:24pm CEST

Computer Vision and Image Recognition algorithms for R users 3.02

2:42pm CEST

The analysis of R learning styles with R PLENARY

3:00pm CEST

COFFEE BREAK CATERING POINTS

3:30pm CEST

Sponsor Talk Rstudio PLENARY

3:45pm CEST

KEYNOTE: Parallel Computation in R: What We Want, and How We (Might) Get It PLENARY

5:15pm CEST

COFFEE BREAK CATERING POINTS

5:30pm CEST

R Blogging with blogdown and GitHub 3.02

5:35pm CEST

**redmineR** and the story of automating *useR!2017* abstract review process 3.02

5:40pm CEST

The current state of naming conventions in R 3.02

5:55pm CEST

Plot Colour Helper – Finally an easy way to pick colours for your R plots! 2.02

6:10pm CEST

Candy Crush R Saga 4.02

9:15am CEST

Sponsor Talk Rconsortium PLENARY

9:30am CEST

KEYNOTE: R tools for the analysis of complex heterogeneous data PLENARY

10:30am CEST

COFFEE BREAK CATERING POINTS

11:00am CEST

Change Point Detection in Persistence Diagrams 3.01

11:36am CEST

papr: Tinder for pre-prints, a Shiny Application for collecting gut-reactions to pre-prints from the scientific community PLENARY

11:54am CEST

How to deal with Missing Data in Time Series and the imputeTS package 2.01 R and Haskell: Combining the best of two worlds 2.02