What is rrricanes Why Write rrricanes? There is a tremendous amount of weather data available on the internet. Much of it is in raw format and not very easy to obtain. Hurricane data is no different. When one thinks of this data they may be inclined to think it is ... [Read more...]

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In part one, I provided an initial walk through of some nice features that are available within the data.table package. In particular, we saw how to filter data and get a count of rows by the date. Let us now add a few columns to our dataset on reported ... [Read more...]

A few short weeks after the more substantial 0.0.9 release of RcppAnnoy, we have a quick bug-fix update. RcppAnnoy is our Rcpp-based R integration of the nifty Annoy library by Erik. Annoy is a small and lightweight C++ template header library for ve... [Read more...]

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What is rrricanes Why Write rrricanes? There is a tremendous amount of weather data available on the internet. Much of it is in raw format and not very easy to obtain. Hurricane data is no different. When one thinks of this data they may be inclined to... [Read more...]

Microsoft R Server has received a new name and a major update: Microsoft ML Server 9.2 is now available. ML Server provides a scalable production platform for R — and now Python — programs. The basic idea is that a local client can push R or Python code and have it operationalized on ... [Read more...]

regexSelect is a small package that uses Shiny modules to solve a problem in Shiny selectize objects - regular expression (regex) searching. You can quickly filter the values in the selectize object, while being able to add that new regex que... [Read more...]

[social4i size=”large” align=”float-right”] To post your R job on the next post Just visit  this link and  post  a new R job  to the R [Read more...]

Atmospheric air pollution is one of the most important environmental concerns in many countries around the world, and it is strongly affected by meteorological conditions. Accordingly, in this set of exercises we use openair package to work and analyze air quality and meteorological data. This packages provides tools to directly ... [Read more...]

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R’s Inf keyword – Have you’ve ever wondered what to do with it? If so, this is the first in series of posts that explore how we can exploit the keyword’s interesting properties to get the answers we need and improve code robustness. For those unfamiliar with R’... [Read more...]

In the second part of the course on graphs and networks, we will focus on economic applications, and flows. The first series of slides are on the traveling salesman problem. Slides are available online. [Read more...]

For R users interested in Machine Learning, you can attend our upcoming course on Machine Learning with R which is scheduled on 16-17 October 2017 in Leuven, Belgium. This is now the 4th year this course is given at the university of Leuven so we made quite some updates since the ... [Read more...]

R for Data Science is our first course of the autumn term. It takes place in October 4-5 in a location close to Milano Lima. If you want to deepen your data analysis knowledge using the most modern R tools, or you want to figure out if R is the ... [Read more...]

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Every day in New York City, millions of commuters take part in a giant race to determine transportation supremacy. Cars, bikes, subways, buses, ferries, and more all compete against one another, but we never get much explicit feedback as to who “wins.” I’ve previously written about NYC’s public ... [Read more...]

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regexSelect is a small package that uses Shiny modules to solve a problem in Shiny selectize objects - regular expression (regex) searching. You can quickly filter the values in the selectize object, while being able to add that new regex query to the selectize list. This is great for long ... [Read more...]