The highlight package has been missing from CRAN for quite some time Now it is back, with fewer dependencies. It used to depend on Rcpp and parser, but since the code logic from parser has been brought to R, highlight … Continue reading → [Read more...]

The R Graph Gallery has been a popular website for many years now. The number of graphics keeps growing as people send me their code. When browsing the website with a mobile device the experience was frustrating, as too much … Continue reading → [Read more...]

April 18, 2013 - 18:00 - 21:00 Fiori Oscuri Bistrot & Bar (www.fiorioscuri.it) Via Fiori Oscuri, 3 - Milano (Zona Brera) 18.00 - 18.15 Registration 18.15 - 18.30 Welcome presentation Andrea Spanò, Partner at Quantide 18.30 - 19.00 Digit recognition Machine … Continue reading → [Read more...]

This is a brief description on one way to determine the distribution of given data. There are several ways to accomplish this in R especially if one is trying to determine if the data comes from a normal distribution. Rather than focusing on hypothesis testing and determining if a distribution ... [Read more...]

This article discusses the importance of providing structure and labelling within SVG code, particularly when the SVG code is generated indirectly by a high-level system and when the SVG code describes a complex image such as a statistical plot. We … Continue reading → [Read more...]

The second edition of Michael Cawley's The R Book is available from Wiley. According to the publisher, the new edition boasts the following features:"Features full colour text and extensive graphics throughout.Introduces a clear structure with numbered... [Read more...]

by Joseph Rickert I am beginning to get excited about going to Spain for useR 2013 which will be held at the University of Castilla-La Mancha, so I have been using the links on the Revolution's local user directory webpage to see what the European R user groups are doing. Here ... [Read more...]

Rodrigo Zamith's NCAA Tournament Visualizer is a great example of an interactive data visualization. If you want to create something similar, Rodrigo has shared detailed behind-the-scenes information on how it was created. He used a mix of tools: Python was used to scrape team statistics fromt the NCAA website R ... [Read more...]

Compressive sampling (CS) is revolutionizing the way we process analog to digital conversion, our understanding of linear systems and the limits of information theory. One of the key concept in CS is that a signal can be represented in a sparse bases o... [Read more...]

The first post (found here) we downloaded the data and imported it to R using the gdata package. This post we will be changing the column names to make them more reasonable, and adding a quarter variable. The reason for changing the column names is bec... [Read more...]

Today is my birthday. It’s also the birthday of a close friend. What an incredible coincidence! Or wait, may be is just expected. One more time R comes into our help, because it has a built-in function to answer our question. … Continue reading → [Read more...]

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I wrote already about changing figure options mid-chunk in reproducible research. This can be important  e.g. if you are looping through a dataset to produce a graphic for each variable but the figure width or height need to depend on properties of the variables, e.g. if you are ... [Read more...]

An old 5.75% CD of mine recently matured and seeing that those interest rates are gone forever, I figured I’d take a statistical look at LendingClub’s data. Lending Club is the first peer-to-peer lending company to register its offerings as securities with the Securities and Exchange Commission (SEC). Their ... [Read more...]

R is popular free and open-source software for graphics and data analytics. The Knoxville R Users Group is being formed to help people learn R and improve their skills with it. Three departments of The University of Tennessee are working together … Continue reading → [Read more...]

It’s often beneficial to have a variable shared between all the functions in an R package. One obvious example would be the maintenance of a package-wide cache for all of your functions. I’ve encountered this situation multiple times and always forget at least one important step in the ... [Read more...]

As I wanted to simulate truncated normals in a hurry, I coded the inverse cdf approach: instead of using my own accept-reject algorithm. Poor shortcut as the method fails when a and b are too far from μ So I introduced a control (and ended up wasting more time than if ... [Read more...]

If you’re an R user, you’ve surely heard all the hype around ‘big data’ and how R is commonly used to analyze these volumes of data. One thing that’s often missing from the discussion is HOW to work around issues using big data and R, specifically how ... [Read more...]

I've been doing some work with Twitter data. In much of this work, my life would be so much easier if we could geographically locate the origin of the tweets. There are some ways to do this using the twitter APIs. For example, if a user has geo-locatio... [Read more...]

Creating visualizations of large data sets is a tough problem: with a limited number of pixels available on the screen (or just with the limited visual acuity of the human eye), massive numbers of symbols on the page can easily result in an uninterpretable mess. On Friday we shared one ... [Read more...]