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Machine Learning II
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Methods I
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← Back
Nick
Monash University
Research Fellow
Melbourne, Australia
njtierney.com
Talk to me about R, Missing Data, Visualisation, Bayesian Statistics, and Decision Trees!
Monday
, July 3
6:30pm CEST
Sessions for useR! Newbies
PLENARY
Tuesday
, July 4
9:30am CEST
Rcpp: From Simple Examples to Machine Learning
PLENARY
Solving iteration problems with purrr
3.02
11:30am CEST
Rcpp: From Simple Examples to Machine Learning
PLENARY
Solving iteration problems with purrr
3.02
2:00pm CEST
R package development with R-hub
2.02
4:00pm CEST
R package development with R-hub
2.02
Wednesday
, July 5
11:00am CEST
Updates to the Documentation System for R
3.02
11:18am CEST
When is an Outlier an Outlier? The O3 plot
PLENARY
11:54am CEST
metawRite: Review, write and update meta-analysis results
3.01
12:12pm CEST
Maps are data, so why plot data on a map?
PLENARY
The R6 Class System
3.02
1:30pm CEST
R-Ladies Global Community
PLENARY
Text mining, the tidy way
4.02
1:48pm CEST
**RQGIS** - integrating *R* with QGIS for innovative geocomputing
3.01
2:06pm CEST
How the R Consortium is Supporting the R Community
PLENARY
2:24pm CEST
Text Analysis and Text Mining Using R
4.02
2:42pm CEST
Scalable, Spatiotemporal Tidy Arrays for R (stars)
3.01
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
4:45pm CEST
COFFEE BREAK
CATERING POINTS
5:00pm CEST
Navigating the R package universe
PLENARY
6:30pm CEST
Poster Reception
CATERING POINTS
Thursday
, July 6
9:30am CEST
KEYNOTE: Dose-response analysis: considering dose both as qualitative factor and quantitative covariate- using R*
PLENARY
11:00am CEST
Hosting Data Packages via `drat`: A Case Study with Hurricane Exposure Data
2.02
Show Me Your Model: tools for visualisation of statistical models
PLENARY
11:18am CEST
Clouds, Containers and R, towards a global hub for reproducible and collaborative data science
2.02
11:36am CEST
Scraping data with rvest and purrr
4.02
11:54am CEST
jug: Building Web APIs for R
4.02
The growing popularity of R in data journalism
PLENARY
12:12pm CEST
Automatically archiving reproducible studies with Docker
2.02
FFTrees: An R package to create, visualise and use fast and frugal decision trees
PLENARY
1:30pm CEST
Interactive graphs for blind and print disabled people
4.02
1:48pm CEST
Data Carpentry: Teaching Reproducible Data Driven Discovery
PLENARY
Package ggiraph: a ggplot2 Extension for Interactive Graphics
4.02
2:06pm CEST
odbc - A modern database interface
2.01
2:24pm CEST
Improving DBI
2.01
mapedit - interactive manipulation of spatial objects
4.02
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
5:35pm CEST
**redmineR** and the story of automating *useR!2017* abstract review process
3.02
Preparing Datetime Data with Padr
3.01
5:40pm CEST
Automatic Machine Learning in R
4.02
The current state of naming conventions in R
3.02
Use of templates within an R package to create a (semi-)automated analysis workflow and/or report
2.02
5:50pm CEST
**heatmaply**: an *R* package for creating interactive cluster heatmaps
2.02
rOpenGov: community project for open government data
3.02
Using an R package as platform for harmonized cleaning of data from RTI MicroPEM air quality sensors
2.01
5:55pm CEST
map data from **naturalearth** : aiming for sustainability through specialisation and **rOpenSci**
2.01
R.gov: making R work for government
3.02
6:00pm CEST
Advanced R Solutions -- A Bookdown Project
3.01
bsplus: Using Twitter Bootstrap to extend your Shiny app
2.02
6:05pm CEST
Using R for optimal beer recipe selection
4.02
6:10pm CEST
Candy Crush R Saga
4.02
Object-oriented markdown in R to facilitate collaboration
2.02
ROI - R Optimization Infrastructure
3.01
6:15pm CEST
Gamifyr: Transforming Machine Learning Tasks into Games with Shiny
4.02
simmer: Discrete-Event Simulation for R
3.01
Strategies for Reproducible Research with Packrat
2.02
What is missing from the meta-analysis landscape?
4.01
Working with R when internet is not reliable
3.02
6:20pm CEST
Data Error! But where?
3.01
6:30pm CEST
Buses
Wild Gallery
7:00pm CEST
Dinner
BRUSSELS EXPO
Friday
, July 7
9:30am CEST
KEYNOTE: R tools for the analysis of complex heterogeneous data
PLENARY
11:00am CEST
naniar: Data structures and functions for consistent exploration of missing data
2.01
Programming with tidyverse grammars
4.02
11:18am CEST
Easy imputation with the simputation package
2.01
11:36am CEST
Generating Missing Values for Simulation Purposes: A Multivariate Amputation Procedure
2.01
ompr: an alternative way to model mixed-integer linear programs
3.01
papr: Tinder for pre-prints, a Shiny Application for collecting gut-reactions to pre-prints from the scientific community
PLENARY
Taking Advantage of the Byte Code Compiler
4.02
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
12:12pm CEST
LUNCH
CATERING POINTS
1:15pm CEST
KEYNOTE: 20 years of CRAN
PLENARY
Timezone
useR!2017
Europe/Brussels
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Brussels South Train Station
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Machine Learning I
Machine Learning II
Medical statistics
Methods I
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Missing Data
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Psychometrics and social statistics
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43
58
74
105
106
107
108
110
111
112
117
143
164
174
175
177
182
186
189
191
193
195
197
203
204
205
206
207
209
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238
239
260
264
272
274
292
303
307
309
321
323
331
333
341
345
347
370
377
381
383
387
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395
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440
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458
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723
725
727
729
735
738
740
743
745
747
757
761
770
772
774
776
778
786
790
794
798
800
802
804
806
813
831
839
841
843
845
855
859
867
869
871
873
875
879
881
898
902
904
906
910
912
917
920
922
928
936
938
940
942
955
970
972
974
978
980
997
1008
1027
1029
1035
1037
1043
1046
1058
1060
1062
1066
1068
1072
1087
1102
1111
1119
1131
1144
1152
1154
1156
1160
1164
1168
1175
1179
1183
1185
1189
1191
1201
1205
1245
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Sondra M Stegenga
Steven A. Rodriguez
Derek Sollberger
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