• Rhus useR meeting

    AU Library in Nobelparken, main floor, left from entrance behind glass wall

    Presentations **How we came to use R at the Royal Library — and what we use it for.** A look back at how a pure Java-shop came to adopt R. Also a bit about how we use R for analyzing multiple terabytes of data, and why not use e.g. Java or FORTRAN (did anyone say Python)? Per Møldrup-Dalum, Det Kgl. Bibliotek **2nd presentation TBA**

  • Rhus useR meeting

    AU Library in Nobelparken, main floor, left from entrance behind glass wall

    Presentations **Accessing digital cultural heritage as data – Solr and R** Digitalisation of cultural heritage is a part of almost all cultural institutions strategies. This typically results in graphic search interfaces making the cultural heritage accessible for everyone with an internet connection. But what if we want to access our digital cultural heritage as data? What options do we then have? Downloads? APIs? This presentation’s focus lies on extracting data from Solr-databases into R with the package “solrium”. Max Odsberg Pedersen, Det Kgl. Bibliotek **Predicting milk production using R** In a dairy company like Arla Foods it is crucial to know how much milk our cows will produce in order to do production planning. In this talk I will present how we have used R to build a forecasting model, and how we have taken that model from proof-of-concept to production where it is now producing weekly forecasts for our planning department. Johannes Tang Kristensen, Senior Data Scientist, Arla Foods

  • Rhus useR meeting

    AU Library in Nobelparken, main floor, left from entrance behind glass wall

    Presentations **Using R to fail fast: Driving data acceptance in industry** Using data in a traditional value based company can be taunting task. In this talk, I will present some of the approaches I used for pushing data tools to my colleagues, and why failing to produce the perfect tools is important. Stefan Høj-Edwards, Production Data Analyst, Kamstrup A/S **bigstatsr: Out-of-memory matrices** R package \\{bigstatsr\\} provides a special class of matrix that can be used to store some data in a matrix-like format __on disk__ but to access it almost as if it were in memory. It is particularly useful when you analyze large matrices and when you want to parallelize your code. Various efficient statistical and helper functions are provided for this data format.

  • UseR! 2015 - Tutorial Tuesday and Conference

    Aalborg Congress and Culture Centre

    Hi useRs :-) The summer is quickly getting closer and instead of working on your tan I encourage you to join the UseR! 2015 conference in Aalborg. Tutorial Tuesday is a great kick-off to the actual conference starting Wednesday. The list of tutorials is long and you'll have a hard time not finding anything that will get you excited. There is a great line-up at the conference too. You might remember Romain Francios from his CopenhagenR talk on Rcpp! And hey.. You don't want to miss the social programme! You may also submit an abstract for a talk, so make sure to read about the abstract submission. If you are a newbie you can do a short 5 minute talk, but there's also the possibility of doing a longer session. It's kinda like #rstat TED talks! You should do one! Make sure to register for the conference at the official conference website! Best regards, The organizers List of invited talks: • Thomas Lumley (R Core, Survey) • Adrian Baddeley (Spatstat) • Steffen Lauritzen (gRaphical models) • Di Cook (GGobi) • Romain Francois (R/C++) • Susan Holmes (phyloseq) List of turtorials: • Analysis and Visualization of Large Complex Data with Tessera (Ryan Hafen and Stephen Elston) • Applied Machine Learning and Efficient Model Selection with mlr (Bernd Bischl and Michel Lang) • Applied Spatial Data Analysis with R (Virgilio Gomez Rubio) • Bayesian Networks and Graphical Models with R (Søren Højsgaard and Therese Graversen) • Bioconductor for high-throughput sequence analysis (Martin Morgan) • Data manipulation with dplyr (Hadley Wickham) • Efficient statistical consulting using R Workflow for data analysis projects (Peter Baker) • Getting to Know Grid Graphics (Paul Murrell) • Handling missing values with a special focus on the use of principal components methods (Julie Josse and Francois Husson) • Introduction to Bayesain Data Analysis with R (Rasmus Bååth) • RHadoop (Andrie de Vries and Simon Field) • Rocker: Using R on Docker (Dirk Eddelbuettel) • spatstat: An R package for analysing spatial point patterns (Adrian Baddeley and Ege Rubak) • Statistical analysis of network data (Gabor Csardi) • Testing R Code (Richard J. Cotton) • Using Pandoc's markdown with R (Gergely Daroczi)

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  • Opening Event: R in Azure HDInsight and Azure Machine Learning

    We R happy to announce the first event in the Rhus.club! We will have a visit by Sebastian Brandes, Tech Evangelist @ Microsoft! Description: Executing R jobs in the cloud is the new ”hot drug”, and Microsoft is your pusher! In the last few years Microsoft has worked intensively on developing new services in the cloud like HDInsight and Azure Machine Learning, and R is fully supported. In this session, Sebastian Brandes will describe how to take advantage of Azure and R and show us how to do it in practice. Expect a demo intensive presentation with many tips and tricks to get started with Azure! Speaker: Sebastian Brandes is a Tech Evangelist @ Microsofts Developer Experience devision. He works with Apps, Azure, and develper tools like Visual Studio. Since 2011 he has worked intensively with the processing of large amounts of data in the cloud. He works closely together with Microsofts internal Center of Excellence for Data Insights and has given many presentations about data processing and statistics supported by a range of Microsoft products. We will meet between 17.00 and 17.15, where we will start the presentation. After the event we hope that some will join us for a drink @ some near-by cafe. We look very much forward to welcoming Sebastian and all of you to Rhus.club. We hope that you will sign up for this event, and spread the word to any- and everyone with interest in R! Remember to stay tuned @ Rhus.club for the latest information about our events.