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← Back
SP
Silvia Pérez Fernández
Tuesday
, July 4
8:00am CEST
REGISTRATION
Wild Gallery
9:30am CEST
Data Carpentry: Open and Reproducible Research with R
2.02
11:00am CEST
COFFEE BREAK
CATERING POINTS
11:30am CEST
Data Carpentry: Open and Reproducible Research with R
2.02
1:00pm CEST
LUNCH
CATERING POINTS
2:00pm CEST
data.table for beginners
3.01
4:00pm CEST
data.table for beginners
3.01
Wednesday
, July 5
9:00am CEST
WELCOME
PLENARY
9:15am CEST
Sponsor Talk Microsoft
PLENARY
9:30am CEST
KEYNOTE: Structural Equation Modeling: models, software and stories
PLENARY
10:30am CEST
COFFEE BREAK
CATERING POINTS
11:00am CEST
How we built a Shiny App for 700 users?
4.02
11:18am CEST
bradio: Add data music widgets to your business intelligence dashboards
4.02
11:36am CEST
Interacting with databases from Shiny
4.02
11:54am CEST
ShinyProxy
4.02
12:12pm CEST
Developing and deploying large scale Shiny applications for non-life insurance
4.02
12:30pm CEST
LUNCH
CATERING POINTS
1:30pm CEST
Integrated Cluster Analysis with R in Drug Discovery Experiments using Multi-Source Data
2.01
1:48pm CEST
Clustering transformed compositional data using *coseq*
2.01
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
3:00pm CEST
COFFEE BREAK
CATERING POINTS
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
9:15am CEST
Sponsor Talk Open Analytics
PLENARY
9:30am CEST
KEYNOTE: Dose-response analysis: considering dose both as qualitative factor and quantitative covariate- using R*
PLENARY
10:30am CEST
COFFEE BREAK
CATERING POINTS
11:00am CEST
moodler: A new R package to easily fetch data from Moodle
4.02
11:18am CEST
Can you keep a secret?
4.02
11:36am CEST
Scraping data with rvest and purrr
4.02
11:54am CEST
jug: Building Web APIs for R
4.02
Show me the errors you didn't look for
2.02
12:30pm CEST
LUNCH
CATERING POINTS
1:30pm CEST
Interactive graphs for blind and print disabled people
4.02
1:48pm CEST
Package ggiraph: a ggplot2 Extension for Interactive Graphics
4.02
2:06pm CEST
Visual funnel plot inference for meta-analysis
4.02
2:24pm CEST
Computer Vision and Image Recognition algorithms for R users
3.02
2:42pm CEST
Exploring and presenting maps with **tmap**
4.02
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 and Tableau Integration: A Case approach
2.02
5:35pm CEST
The dataCompareR package
2.02
5:40pm CEST
Use of templates within an R package to create a (semi-)automated analysis workflow and/or report
2.02
5:45pm CEST
R in a Pharmaceutical Company
4.02
5:50pm CEST
Using R to Analyze Healthcare Cost of Older Patients Using Personal Emergency Response Service
4.02
5:55pm CEST
Statistics hitting the business front line
4.02
6:00pm CEST
An example of Shiny tool at Nestlé R&D, an enabler to guide product developers in designing gluten free biscuits
4.02
6:05pm CEST
Using R for optimal beer recipe selection
4.02
6:10pm CEST
Candy Crush R Saga
4.02
6:30pm CEST
Buses
Wild Gallery
7:00pm CEST
Dinner
BRUSSELS EXPO
Friday
, July 7
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
naniar: Data structures and functions for consistent exploration of missing data
2.01
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
11:54am CEST
How to deal with Missing Data in Time Series and the imputeTS package
2.01
12:12pm CEST
LUNCH
CATERING POINTS
1:15pm CEST
KEYNOTE: 20 years of CRAN
PLENARY
2:15pm CEST
CLOSING
Wild Gallery
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292
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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
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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
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1154
1156
1160
1164
1168
1175
1179
1183
1185
1189
1191
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1205
1245
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