Yesterday, Jörg has written a blog post on Data Storytelling with Smartphone sensor data. Here’s a practical approach on how to analyze smartphone sensor data with R. In this example I will be using the accelerometer smartphone data that Datarella provided in its Data Fiction competition. The dataset ... [Read more...]

As access to the GIS and mapping is becoming easier every year the more people and companies create maps. Unfortunately often they just do not know what they are actually showing at their maps. This issue is being mentioned over and over again.  Here is the example that I discovered ... [Read more...]

I just wrapped up a course introducing R and RStudio with Pluralsight!  RStudio: Get Started covers  a range of topics on R itself and RStudio.  My fellow Pluralsight author Abhishek Kumar recently produced an introductory cour... [Read more...]

One of the things I wanted to explore in the production of the Wrangling F1 Data With R book was the extent to which I could draw on published academic papers for inspiration in exploring the the various results and timing datasets. In a chapter published earlier this week, I ... [Read more...]

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Interactive visualization allows deeper exploration of data than static plots. Javascript libraries such as d3 have made possible wonderful new ways to show data. Luckily the R community has been active in developing R interfaces to some popular javascript libraries to enable R users to create interactive visualizations without knowing ... [Read more...]

Bioconductor is a project to develop and curate a collection of R packages used for analysis of genetic data (specifically, analysis and comprehension of high-throughput genomic data). With the wealth of genetic data on humans and animals now available, Bioconductor is widely used in medical research to understand how genes ... [Read more...]

First off, before beginning this post, I’d like to make my readers aware of the release of a book that … Continue reading → [Read more...]

In case you missed them, here are some articles from November of particular interest to R users. R was featured in recent articles in Nature News and Mashable. A recap of the 6th Spanish R Users Conference. R was the recipient of a 2014 "Bossie" award for best open-source big data ... [Read more...]

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A new release of my random package for truly (hardware-based) random numbers as provided by random.org is now on CRAN. The main change is a switch to the curl() function from the eponymous package by Jeroen Ooms. This was caused by random.org now usi... [Read more...]

Today, the Twitter engineering team released another very interesting Open Source R package for working with time series data: “AnomalyDetection“. This package uses the Seasonal Hybrid ESD (S-H-ESD) algorithm to identify local anomalies (= variations inside seasonal patterns) and global anomalies (= variations that cannot be explained with seasonal patterns). As a [...] [Read more...]

Mozilla released the MetricsGraphics.js library back in November of 2014 (gh repo) and was greeted with great fanfare. It’s primary focus is on crisp, clean layouts for interactive time-series data, but they have support for other chart types as well (though said support is far from comprehensive). I had ... [Read more...]

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The github page for the APM exercises has been updated with three new files for Chapters 6-8 (the section on regression). The classifications section is in-progress. Here's one of our fancy-pants graphs: [Read more...]

Plotly’s interactive 3D graphs have new capabilities: multiple scenes, streaming graphs, and contour lines. Plot from our web app, Excel, Google Docs, Python, MATLAB, and R. Contact us if you’re interested in running Plotly on-premise to integrate your own applications. Click any image to go to the full-screen ... [Read more...]

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 ... [Read more...]

I recently had the need to scrape a table from wikipedia. Normally, I'd probably cut and paste it into a spreadsheet, but I figured I'd give Hadley's rvest package a go. The first thing I needed to do was browse to the desired page and locate the table. In this ... [Read more...]

Continuing progress with the vignettes mean bug fixes in the code. Plus I’m presenting the regression random forest vignette to the stats group here tomorrow. http://cran.r-project.org/web/packages/ggRandomForests/index.html I’ve got another blog post percolating that will detail the biggest change in this… ... [Read more...]

“Behind every great point estimate stands a minimized loss function.” – Me, just now This is a continuation of Probable Points and Credible Intervals, a series of posts on Bayesian point and interval estimates. In Part 1 we looked at these estimates as graphical summaries, useful when it’s difficult to plot ... [Read more...]