1296 search results for "Tutorial"

GPU Tutorial, with R Interfacing

January 24, 2015
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GPU Tutorial, with R Interfacing

You’ve heard that graphics processing units — GPUs — can bring big increases in computational speed.  While GPUs cannot speed up work in every application, the fact is that in many cases it can indeed provide very rapid computation.  In this tutorial, we’ll see how this is done, both in passive ways (you write only … Continue reading...

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OpenMP Tutorial, with R Interface

January 17, 2015
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OpenMP Tutorial, with R Interface

Almost any PC today is multicore.  Dual-core is standard, quad-core is easily attainable for the home, and larger systems, say 16-core, are easily within reach of even smaller research projects. In addition, large multicore systems can be “rented” on Amazon EC2 and so on. The most popular way to program on multicore machines is to … Continue reading...

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Spatial visualization with R – Tutorial

December 10, 2014
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Spatial visualization with R – Tutorial

The visualization of spatial data is one of the most popular applications when using R. This tutorial is an introduction to the visualization of spatial data and map making in R. The following issues will be addressed: Import anduse of shapefiles in R (shapefile is a file format designed for spatial data). Data management and

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Revolution R Enterprise tutorial: Free 8h interactive tutorial on Big Data Analytics

December 8, 2014
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Revolution R Enterprise tutorial: Free 8h interactive tutorial on Big Data Analytics

In need for better ways to handle large data sets? Interested in manipulating, visualizing, and analysing large datasets with RevoScaleR? Then make sure to have a look at this free hands-on Revolution R Enterprise tutorial on Big Data Analytics by Revolution Analytics and DataCamp. Everything takes place in the online interactive learning interface of DataCamp, so no The post

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ggvis tutorial: become a data visualization expert with RStudio

December 4, 2014
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ggvis tutorial: become a data visualization expert with RStudio

The latest interactive course in the RStudio track is now available on DataCamp: ggvis tutorial. The first part of the tutorial is available for  free, so everyone can now learn interactively how to start creating stunning ggvis data visualizations in R. All courses in the RStudio track are self-paced, and combine challenging interactive exercises with to the point videos. Garrett The post

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YATORP — Yet Another Tutorial on R Packaging

November 24, 2014
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What the world needs right now is yet another tutorial on R packages and their creation. Luckily, this last Friday and Saturday, I had the opportunity to present in a workshop organized by Frank DiTraglia at Penn's shiny new Warren Center, and held a...

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Slides of keynote speeches, tutorials and panelist presentations at IEEE Big Data 2014

November 23, 2014
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Slides of keynote speeches, tutorials and panelist presentations at IEEE Big Data 2014

Slides of keynote speeches, tutorials and panelist presentations at the 2014 IEEE International Conference on Big Data can be found at the conference website at links below. (1) Keynote speech http://cci.drexel.edu/bigdata/bigdata2014/keynotespeech.htm - Never-Ending Language Learning, Tom Mitchell – E. Fredkin … Continue reading →

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Hadley Wickham’s dplyr tutorial at useR! 2014, Part 2

November 3, 2014
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Part 2 of the dplyr tutorial is now available! Hadley will be covering Grouped Mutate/Filter, Joins,...

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Hadley Wickham’s dplyr tutorial at useR! 2014, Part 1

October 13, 2014
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Hadley Wickham (perhaps you’ve heard of his work) presented a 2 hour workshop on dplyr...

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2014 Metabolomic Data Analysis and Visualization Workshop and Tutorials

October 11, 2014
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2014 Metabolomic Data Analysis and Visualization Workshop and Tutorials

Recently I had the pleasure of teaching statistical and multivariate data analysis and visualization at the annual Summer Sessions in Metabolomics 2014, organized by the NIH West Coast Metabolomics Center. Similar to last year, I’ve posted all the content (lectures, labs and software) for any one to follow along with at their own pace. I also

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