1335 search results for "tutorial"

R Markdown Tutorial by RStudio and DataCamp

March 1, 2015
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R Markdown Tutorial by RStudio and DataCamp

In collaboration with Garrett Grolemund, RStudio’s teaching specialist, DataCamp has developed a new interactive course to facilitate reproducible reporting of your R analyses. R Markdown enables you to generate reports straight from your R code, documenting your works as an HTML, pdf or Microsoft document. This course is part of DataCamp’s R training path, but can The post

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drat Tutorial: Publishing a package

February 22, 2015
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Introduction The drat package was released earlier this month, and described in a first blog post. I received some helpful feedback about what works and what doesn't. For example, Jenny Bryan pointed out that I was not making a clear enough distinction between the role of using drat to publish code, and using drat to...

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An R tutorial for Microsoft Excel users

February 16, 2015
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If you currently use a spreadsheet like Microsoft Excel for data analysis, you might be interested in taking a look at this tutorial on how to transition from Excel to R by Tony Ojeda. The tutorial explains how to use R functions in place of Excel formulas, including tools like =AVERAGE and =VLOOKUP. For the most part, it uses...

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drat Tutorial: First Steps towards Lightweight R Repositories

February 7, 2015
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Now that drat is on CRAN and I got a bit of feedback (or typo corrections) in three issue tickets, I thought I could show how to quickly post such an interim version in a drat repository. Now, I obviously already have a checkout of drat. If you, dear reader, wanted to play along and create your...

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Tutorial on High-Performance Computing in R

February 3, 2015
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Tutorial on High-Performance Computing in R

I wanted to call your attention to what promises to be an outstanding tutorial on High-Performance Computing (HPC) in R, presented in Web streaming format. My Rth package coauthor Drew Schmidt, who is also one of the authors of the pbdR package, will be one of the presenters.  Should very interesting and useful.

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A data.table R tutorial by DataCamp: intro to DT[i, j, by]

February 3, 2015
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A data.table R tutorial by DataCamp:  intro to DT[i, j, by]

This data.table R tutorial explains the basics of the DT command which is core to the data.table package. If you want to learn more on the data.table package, DataCamp provides an interactive R course on the data.table package. The course has more than 35 interactive R exercises – all taking place in the comfort of The post

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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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