useR!2017 has ended

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useR!2017

#1

KEYNOTE: Structural Equation Modeling: models, software and stories

#2

KEYNOTE: Teaching data science to new useRs

#3

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

#4

Show Me Your Model: tools for visualisation of statistical models

#5

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

#6

KEYNOTE: R tools for the analysis of complex heterogeneous data

#7

KEYNOTE: 20 years of CRAN

#8

WELCOME RECEPTION

#9

Navigating the R package universe

#10

REGISTRATION

#11

LUNCH

#12

COFFEE BREAK

#13

WELCOME

#14

COFFEE BREAK

#15

Scraping data with rvest and purrr

#16

LUNCH

#17

LUNCH

#18

Poster Reception

#19

Sponsor Talk Rstudio

#20

Text mining, the tidy way

#21

Programming with tidyverse grammars

#22

Sponsor Talk Microsoft

#23

Sponsor Talk Data Camp

#24

COFFEE BREAK

#25

COFFEE BREAK

#26

COFFEE BREAK

#27

How we built a Shiny App for 700 users?

#28

LUNCH

#29

COFFEE BREAK

#30

Package ggiraph: a ggplot2 Extension for Interactive Graphics

#31

Interacting with databases from Shiny

#32

ShinyProxy

#33

Dinner

#34

COFFEE BREAK

#35

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

#36

A Benchmark of Open Source Tools for Machine Learning from R

#37

COFFEE BREAK

#38

COFFEE BREAK

#39

Sponsor Talk Open Analytics

#40

Automatically archiving reproducible studies with Docker

#41

When is an Outlier an Outlier? The O3 plot

#42

Text Analysis and Text Mining Using R

#43

Can you keep a secret?

#44

Deep Learning for Natural Language Processing in R

#45

CLOSING

#46

Buses

#47

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

#48

R-based computing with big data on disk

#49

Sponsor Talk Rconsortium

#50

Show me the errors you didn't look for