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NeuralNetTools 1.0.0 now on CRAN

December 20, 2014
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NeuralNetTools 1.0.0 now on CRAN

After successfully navigating the perilous path of CRAN submission, I’m pleased to announce that NeuralNetTools is now available!  From the description file, the package provides visualization and analysis tools to aid in the interpretation of neural networks, including functions for plotting, variable importance, and sensitivity analyses. I’ve written at length about each of these functions (see

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A small introduction to the ROCR package

December 19, 2014
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A small introduction to the ROCR package

I've been doing some classification with logistic regression in brain imaging recently. I have been using the ROCR package, which is helpful at estimating performance measures and plotting these measures over a range of cutoffs. The prediction and performance functions are the workhorses of most of the analyses in ROCR I've been doing. For those

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Introduction to R Chapter for IFSWR Book

December 19, 2014
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Introduction to R Chapter for IFSWR Book

I have uploaded a draft of Chapter 1 — A Very Brief Introduction to R — to Introduction to Fisheries Science with R book.  This chapter is very bare bones as there are many great introductions to R on the … Continue reading →

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Create a Google Analytics implementation doc using R

December 19, 2014
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Create a Google Analytics implementation doc using R

  One of most frustrating things that you can face during a day is someone to ask you to give her the definitions of the funnel that someone configured a couple of years ago for 10 product categories. The only thing that can help you in this is to have an Implementation document. Oh, you betKeep reading

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Rocker is now the official R image for Docker

December 19, 2014
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Rocker is now the official R image for Docker

Something happened a little while ago which we did not have time to commensurate properly. Our Rocker image for R is now the official R image for Docker itself. So getting R (via Docker) is now as simple as saying docker pull r-base. This particular...

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The Geometry of Classifiers

December 18, 2014
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The Geometry of Classifiers

As John mentioned in his last post, we have been quite interested in the recent study by Fernandez-Delgado, et.al., “Do we Need Hundreds of Classifiers to Solve Real World Classification Problems?” (the “DWN study” for short), which evaluated 179 popular implementations of common classification algorithms over 120 or so data sets, mostly from the UCI … Continue reading...

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My Commonly Done ggplot2 graphs: Part 2

December 18, 2014
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My Commonly Done ggplot2 graphs: Part 2

In my last post I described some of my commonly done ggplot2 graphs. It seems as though some people are interested in these, so I was going to follow this up with other plots I make frequently. Scatterplot colored by continuous variable The setup of the data for the scatterplots will be the same as

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Revolution Analytics’ 2015 R User Group Support Program is underway!

December 18, 2014
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Revolution Analytics’ 2015 R User Group Support Program is underway!

by Joseph Rickert Revolution Analytics's 2015 R User Group Support Program (RevoRUGS) begins today. Last year we provided financial support to 51 groups worldwide. That works out to be about one third of the total number of R active user groups listed in our Local User Group Directory. R User Groups Supported by Revolution Analytics in 2014 (Download RevoRUGS_2014...

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htmlwidgets: JavaScript data visualization for R

December 18, 2014
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htmlwidgets: JavaScript data visualization for R

Today we’re excited to announce htmlwidgets, a new framework that brings the best of JavaScript data visualization libraries to R. There are already several packages that take advantage of the framework (leaflet, dygraphs, networkD3, DataTables, and rthreejs) with hopefully many more to come. An htmlwidget works just like an R plot except it produces an interactive web

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Sketching Scatterplots to Demonstrate Different Correlations

December 17, 2014
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Sketching Scatterplots to Demonstrate Different Correlations

Looking just now for an openly licensed graphic showing a set of scatterplots that demonstrate different correlations between X and Y values, I couldn’t find one. So here’s a quick R script for constructing one, based on a Cross Validated question/answer (Generate two variables with precise pre-specified correlation): And here’s an example of the result:

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