Publications by Joseph Rickert
Video: H2O Talks by Trevor Hastie and John Chambers
by Joseph Rickert In a recent post, where I presented some R related highlights of November's H20 World conference, I singled out and described talks by Trevor Hastie and John Chambers and remarked that it would be nice if the videos would be made available. Well, thanks to the generosity of the folks at H2O I got my wish. Here is the video of ...
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Creating a custom soil attribute plot using ggmap
Cusby Ryan GarnerSenior Data Scientist, Revolution Analytics I love creating spatial data visualizations in R. With the ggmap package, I can easily download satellite imagery which serves as a base layer for the data I want to represent. In the code below, I show you how to visualize sampled soil attributes among 16 different rice fields in Urugu...
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What’s your KatRisk Score?
by Joseph Rickert KatRisk, a Berkeley based catastrophe modeling company specializing in wind and flood risk, has put three R and Shiny powered interactive demos on their website. Together these provide a nice introduction to the practical aspects of weather based risk modeling and give a good indication of the kinds of data that are important. T...
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Interactive R Notebooks on powerful cloud hardware
by Nick ElprinCo-Founder Domino Data Lab “R Notebooks” use the IPython Notebook UI to run R (rather than Python) in notebook cells, giving you an interactive R environment hosted on scalable servers, accessible through a web browser. This post describes how and why we built our “R Notebooks” feature. Our product, Domino, is a platform tha...
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Some basics for base graphics
by Joseph Rickert One of the greatest strengths of the R language is surely the base graphics capabilities. Grid graphics, lattice, ggplot2, bigvis and the many R packages that interface with javascript D3 graphics have added astounding capabilities, well beyond what can be achieved with base graphics alone. Nevertheless, the quick, one line, bas...
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New Introductory R Course for Health Analytics
by Bob Horton, Data Scientist, Revolution Analytics From electronic medical records to genomic sequences, the data deluge is affecting all aspects of health care. The Masters of Science in Health Informatics (MSHI) program at the University of San Francisco, now in its second year, is designed to help students develop the practical computing sk...
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A first look at Spark
by Joseph Rickert Apache Spark, the open-source, cluster computing framework originally developed in the AMPLab at UC Berkeley and now championed by Databricks is rapidly moving from the bleeding edge of data science to the mainstream. Interest in Spark, demand for training and overall hype is on a trajectory to match the frenzy surrounding Hado...
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Parallel Programming with GPUs and R
by Norman Matloff 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 R), and in...
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An R User Group Mini Conference
by Joseph Rickert With a membership that spans the entire Bay Area and the ability to hold meetings from San Jose to San Francisco, the Bay Area useR Group is in the very fortunate position of being able to attract world-class R speakers on a regular basis. Meetings that feature multiple speakers often attract 80 to a 100 or more attendees and ge...
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Sharing Your Shiny Apps
by Siddarth RameshR Programmer, Revolution Analytics A couple of months ago, I worked on a customer engagement involving Shiny. Shiny is a package created by RStudio that is intended to make plots dynamic and interactive. One advantage of Shiny is that an app would completely be written in R, without needing to know any other programming language...
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