This event has ended. View the official site or create your own event → Check it out

This event has ended. Create your own

useR!2017

View analytic

Andrew Reilly

iQor
Business and Product Analyst
St. Petersburg, FL

8:00am

REGISTRATION Wild Gallery

9:30am

Rcpp: From Simple Examples to Machine Learning PLENARY

11:00am

COFFEE BREAK CATERING POINTS

11:30am

Data Carpentry: Open and Reproducible Research with R 2.02

1:00pm

LUNCH CATERING POINTS

2:00pm

Introduction to Natural Language Processing with R 3.02

3:30pm

COFFEE BREAK CATERING POINTS

4:00pm

OpenML: Connecting R to the Machine Learning Platform OpenML 4.02

5:30pm

WELCOME RECEPTION CATERING POINTS

9:00am

WELCOME PLENARY

9:30am

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

10:30am

COFFEE BREAK CATERING POINTS

11:18am

When is an Outlier an Outlier? The O3 plot PLENARY

11:36am

Interacting with databases from Shiny 4.02

12:12pm

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

12:30pm

LUNCH CATERING POINTS

1:30pm

Text mining, the tidy way 4.02

1:48pm

Architectural Elements Enabling R for Big Data 3.02

2:06pm

A Tidy Data Model for Natural Language Processing 4.02

2:24pm

Implementing Predictive Analytics projects in corporate environments 2.02 Text Analysis and Text Mining Using R 4.02

2:42pm

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

3:00pm

COFFEE BREAK CATERING POINTS

3:45pm

KEYNOTE: Teaching data science to new useRs PLENARY

4:45pm

COFFEE BREAK CATERING POINTS

5:00pm

Navigating the R package universe PLENARY

6:30pm

Poster Reception CATERING POINTS

11:00am

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

11:18am

Can you keep a secret? 4.02

11:36am

codebookr: Codebooks in *R* 2.02

11:54am

The growing popularity of R in data journalism PLENARY

12:30pm

LUNCH CATERING POINTS

1:30pm

R-based computing with big data on disk 2.01

1:48pm

Deep Learning for Natural Language Processing in R 3.02

2:06pm

R4ML: A Scalable R for Machine Learning 3.02

3:00pm

COFFEE BREAK CATERING POINTS

3:45pm

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

5:15pm

COFFEE BREAK CATERING POINTS

5:35pm

Preparing Datetime Data with Padr 3.01

5:40pm

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

6:05pm

Graduate from plot to ggplot2: Using R to visualize the story of Ebola survivors in the PREVAIL III Ebola Natural History Study 4.01

6:20pm

Data Error! But where? 3.01

9:30am

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

10:30am

COFFEE BREAK CATERING POINTS

11:00am

naniar: Data structures and functions for consistent exploration of missing data 2.01

11:18am

Easy imputation with the simputation package 2.01

12:12pm

LUNCH CATERING POINTS

1:15pm

KEYNOTE: 20 years of CRAN PLENARY

2:15pm

CLOSING Wild Gallery