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useR!2017

nick_strayer

RStudio
PhD student
Nashville, Tennessee, USA

https://nickstrayer.me

Nick is an engineer on the Shiny team working to make web applications with R easy to build, beautiful, and powerful. Nick has a Ph.D. in Biostatistics from Vanderbilt University and previously worked as a data journalist at the New York Times.

8:00am CEST

REGISTRATION Wild Gallery

9:00am CEST

WELCOME PLENARY

9:30am CEST

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

11:00am CEST

Transformation Forests 2.02

11:18am CEST

A Benchmark of Open Source Tools for Machine Learning from R 2.02

11:36am CEST

Interacting with databases from Shiny 4.02

11:54am CEST

ShinyProxy 4.02

12:12pm CEST

The R6 Class System 3.02

1:30pm CEST

**shadow**: R Package for Geometric Shade Calculations in an Urban Environment 3.01

1:48pm CEST

**RQGIS** - integrating *R* with QGIS for innovative geocomputing 3.01

2:06pm CEST

Extracting Meaningful Noisy Biclusters from a Binary Big-Data Matrix using the BiBitR R Package 2.01

2:24pm CEST

kmlShape: clustering longitudinal data according to their shapes 2.01

2:42pm CEST

We R What We Ask: The Landscape of R Users on Stack Overflow PLENARY

3:45pm CEST

KEYNOTE: Teaching data science to new useRs PLENARY

9:30am CEST

KEYNOTE: Dose-response analysis: considering dose both as qualitative factor and quantitative covariate- using R* PLENARY

11:00am CEST

Show Me Your Model: tools for visualisation of statistical models PLENARY

11:18am CEST

Can you keep a secret? 4.02

11:36am CEST

Scraping data with rvest and purrr 4.02

11:54am CEST

Estimating the Parameters of a Continuous-Time Markov Chain from Discrete-Time Data with ctmcd 3.01 jug: Building Web APIs for R 4.02

12:12pm CEST

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

1:30pm CEST

ReinforcementLearning: A package for replicating human behavior in R 3.02

1:48pm CEST

Deep Learning for Natural Language Processing in R 3.02

2:06pm CEST

R4ML: A Scalable R for Machine Learning 3.02

2:24pm CEST

mapedit - interactive manipulation of spatial objects 4.02

2:42pm CEST

Depth and depth-based classification with R package **ddalpha** 3.02

3:45pm CEST

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

5:30pm CEST

R Blogging with blogdown and GitHub 3.02

5:40pm CEST

Automatic Machine Learning in R 4.02 R in Minecraft 3.01 The current state of naming conventions in R 3.02

5:50pm CEST

**heatmaply**: an *R* package for creating interactive cluster heatmaps 2.02

5:55pm CEST

map data from **naturalearth** : aiming for sustainability through specialisation and **rOpenSci** 2.01 The R package bigstatsr: Memory- and Computation-Efficient Statistical Tools for Big Matrices 3.01

6:00pm CEST

bsplus: Using Twitter Bootstrap to extend your Shiny app 2.02 Introducing the DynNom package for the generation of dynamic nomograms 4.01

6:05pm CEST

Using R for optimal beer recipe selection 4.02

6:10pm CEST

Object-oriented markdown in R to facilitate collaboration 2.02 Shiny Apps for Maths and Stats Exercises 3.02

6:20pm CEST

Better Confidence Intervals for Quantiles 2.01