********************************************************* 12th Australasian Data Mining Conference (AusDM 2014) Brisbane, Australia 27-28 November 2014 http://ausdm14.ausdm.org/ ********************************************************* Data Mining is the art and science of intelligent analysis of (usually big) data sets for meaningful insights. Data mining is actively applied across all … Continue reading → [Read more...]

Agustin Lobo has recently published some good tutorials about rasterVis: Introduction to rasterVis Overlay your raster layer on a backround …Sigue leyendo → [Read more...]

Hello everbody! Today  I want to show you how you can get deeper insights into your Twitter followers with the help of R. Because I just completed the course “Machine Learning” by Prof. Andrew Ng on Coursera I will use the k-means algorithm and cluster my Twitter followers by the ... [Read more...]

This guide presents a toolkit for writing research papers and monographs using Emacs, Org-mode and R. Org-mode allows embedding statistical code in the document to generate results that can be revised and reproduced, integration of bibliographic references with a database, and consistent formatting without any manual tweaking using excellent support ... [Read more...]

If RStudio prompts you for a username and password every time you try to push your project to Github, open the shell (Git menu: More/Shel...) and do the following:1) Set username and email (if you did not do that before)git config --global user.name "y... [Read more...]

This is an updated version of an earlier post in March. A number of talks about Rcpp are scheduled over the next couple of months: On Wednesday May 14 I will be speaking at the Chicago R Users Group meeting charmingly titled Warm Up for R... [Read more...]

For more than four years now (judging by the first post on my old blog), R has been my primary tool for market research. It has thought me a lot, and it has helped me to me advance smoothly in the field of semi-automated trading. Lately however I started realizing ... [Read more...]

Facebook is a company that deals with a lot of data — more than 500 terabytes a day — and R is widely used at Facebook to visualize and analyze that data. Applications of R at Facebook include user behaviour, content trends, human resources and even graphics for the IPO prospectus. Now, four ... [Read more...]

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The R statistical software is my preferred statistical package for many reasons. It’s mature, well-supported by communities such as Stack Overflow, has programming abilities built right in, and, most-importantly, is completely free (in both senses) so that anyone can reproduce and check your analyses. R is extremely comprehensive in ... [Read more...]

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See the update below I'll be doing a morning tutorial at useR! at the end of June in Los Angeles. I've done this same presentation at the last few conferences and this will probably be the last time for this specific workshop. The tutorial outline is: Conventions in R Data ... [Read more...]

In two previous posts in this series I have wrangled NEO orbital data into R and then solved Kepler’s Equation to get the eccentric anomaly for each NEO. The final stage in the visualisation of the NEO orbits will be the transformation of locations from the respective orbital planes ... [Read more...]

There’s a new version of my assertive package, for sanity-checking code, on its way to CRAN. The release has been delayed a while, since my previous attempt at an upload met with an error that was only generated on the CRAN machine, but not on my own. The problem ... [Read more...]

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This is a quickie post and specific to package maintainers who use roxygen2. Legal Disclaimer: This worked for me but make sure there’s not a corner case that would make it not work for you.  In other words back your … Continue reading → [Read more...]

Over the last month or so, I’ve been working a lot with Plotly to visualize data for my World Regional Geography course. Plotly is a web-based service that allows for the creation of interactive, D3-based visualizations that can be easily shared. Visualizations are deployed and hosted on Plotly’... [Read more...]

US Census 2011 (ACS) – choroplethr As a statistician, I’ve always had a soft spot in my heart for the US Census. I love the rich data sets that are made publicly available and I’ve often experimented with visualizing the results. … Continue reading → [Read more...]

It’s no secret that I enjoy basketball, but I’ve often wondered about the carbon footprint that can be caused by 30 teams each playing an 82-game season. Ultimately, that’s 2460 air flights across the whole of the USA, each carrying 30+ individuals. For these reasons, I decided to investigate the ... [Read more...]

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