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Methods I
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← Back
CarlesCG
Reliable Dynamics
Data Scientist
Copenhagen Area, Capital Region, Denmark
ReliabilityOfThings.com
Contact Me
on Twitter
Reliability Engineering geek, Data Analyst and BlockChain enthusiast!!
See u on twitter: @carles_
Tuesday
, July 4
9:30am CEST
Introduction to parallel computing with R
3.01
11:30am CEST
Data Carpentry: Open and Reproducible Research with R
2.02
Rcpp: From Simple Examples to Machine Learning
PLENARY
2:00pm CEST
Efficient R Programming
PLENARY
Introduction to optimal changepoint detection algorithms
4.01
4:00pm CEST
Modelling the environment in R: from small-scale to global applications
2.01
5:30pm CEST
WELCOME RECEPTION
CATERING POINTS
Wednesday
, July 5
11:00am CEST
How we built a Shiny App for 700 users?
4.02
11:18am CEST
A Benchmark of Open Source Tools for Machine Learning from R
2.02
When is an Outlier an Outlier? The O3 plot
PLENARY
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
1:30pm CEST
The use of R in predictive maintenance: A use case with TRUMPF Laser GmbH
2.02
1:48pm CEST
Too good for your own good: Shiny prototypes out of control
2.02
2:06pm CEST
Beyond Prototyping: Best practices for R in critical enterprise environments
2.02
Rc$^2$: an Environment for Running R and Spark in Docker Containers
3.02
2:24pm CEST
Implementing Predictive Analytics projects in corporate environments
2.02
6:30pm CEST
Poster Reception
CATERING POINTS
Thursday
, July 6
11:00am CEST
Show Me Your Model: tools for visualisation of statistical models
PLENARY
11:18am CEST
Can you keep a secret?
4.02
Clouds, Containers and R, towards a global hub for reproducible and collaborative data science
2.02
11:36am CEST
*jamovi*: a spreadsheet for R
PLENARY
codebookr: Codebooks in *R*
2.02
11:54am CEST
jug: Building Web APIs for R
4.02
Show me the errors you didn't look for
2.02
12:12pm CEST
Automatically archiving reproducible studies with Docker
2.02
1:30pm CEST
R-based computing with big data on disk
2.01
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
Visual funnel plot inference for meta-analysis
4.02
2:42pm CEST
*implyr**: A **dplyr** Backend for a Apache Impala
2.01
Exploring and presenting maps with **tmap**
4.02
The analysis of R learning styles with R
PLENARY
5:30pm CEST
R and Tableau Integration: A Case approach
2.02
The cutpointr package: Improved and tidy estimation of optimal cutpoints
3.01
5:35pm CEST
The dataCompareR package
2.02
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
5:45pm CEST
Digital Signal Processing with R
3.01
graphiT: an interactive, user-friendly tool to produce graphics based on the grammar of graphics' principles
2.02
5:50pm CEST
Application of R and Shiny in multiomics understanding of blood cancer biology and drug response
4.01
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
6:10pm CEST
Candy Crush R Saga
4.02
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
Working with R when internet is not reliable
3.02
6:20pm CEST
Data Error! But where?
3.01
7:00pm CEST
Dinner
BRUSSELS EXPO
Friday
, July 7
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
papr: Tinder for pre-prints, a Shiny Application for collecting gut-reactions to pre-prints from the scientific community
PLENARY
11:54am CEST
Dynamic Assessment of Microbial Ecology (*DAME*): A Shiny App for Analysis and Visualization of Microbial Sequencing Data
3.02
How to deal with Missing Data in Time Series and the imputeTS package
2.01
shiny.collections: Google Docs-like live collaboration in Shiny
PLENARY
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BRUSSELS EXPO
Brussels South Train Station
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David Hay
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gstricker
Sondra M Stegenga
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