141 search results for "eclipse"

Bio7 2.0 for Windows Released!

December 1, 2014
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Bio7 2.0 for Windows Released!

01.12.2014 A new Windows version of Bio7 is available. Many new features have been added to Bio7 2.0 which is now based on Eclipse 4.4. Highlights are the improved R editor, the R debugging Graphical User Interface (using the standard R debugger), the integrated Java Development Tools (JDT) to create Java simulation models with a

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Plot Me Like a Hurricane (a.k.a. animating historical North Atlantic basin tropical storm tracks)

October 7, 2014
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Markus Gessman (@MarkusGesmann) did a beautiful job Visualising the seasonality of Atlantic windstorms using small multiples, which was inspired by both a post by Arthur Charpentier (@freakonometrics) on using Markov spatial processes to “generate” hurricanes—which was tweaked a bit by Robert Grant (@robertstats)—and Gaston Sanchez‘s Visualizing Hurricane Trajectories RPub. I have some history with hurricane

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EditorConfig: force unified coding style from all your contributors

September 1, 2014
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EditorConfig: force unified coding style from all your contributors

In the past 10 years since I started using R, there were a series of things that changed the way I code (in chronological sequence): my first R function, different IDEs, my first R package, roxygen, GitHub, the devtools wiki, StackOverflow, my first useR! conference, continuous integration tools and e.g. participating in the Google Summer of Code. Probably I will...

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Do Massive Workloads Equal Big Declines in Running Back Productivity?

August 25, 2014
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Do Massive Workloads Equal Big Declines in Running Back Productivity?

The popular wisdom is that “massive workloads” result in a decline in running back productivity in the following season. For example, anecdotal evidence using Corey Dillon (2004) and Jamaal Anderson The post Do Massive Workloads Equal Big Declines in Running Back Productivity? appeared first on Fantasy Football Analytics.

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Quick History: glm()

May 15, 2014
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by Joseph Rickert I recently wrote about some R resources that are available for generalized linear models (GLMs). Looking over the material, I was amazed by the amount of effort that is continuing to go into GLMs, both with with respect to new theoretical developments and also in response to practical problems such as the need to deal with...

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Following open courseware

April 13, 2014
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I love massive open online courses such as provided on Coursera and edX. So I enrolled in the Data Analysis for Genomics course on edX. I am not alone there as seen from this posting on FreshBiostats.I was shocked when I took the Pre-Course R self-asse...

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R: Free, Popular, Powerful, Flexible and Supported

March 31, 2014
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R: Free, Popular, Powerful, Flexible and Supported

Francis Smart offers five excellent reasons to use R, in a well-researched post ideal for sharing with anyone thinking about making the switch to R. (You might also share this YouTube video for a quick 90-second introduction to R.) The post also includes a novel analysis of interest in R, as tracked by Google Trends. Given its single-letter name,...

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R editor improvements for Bio7

January 31, 2014
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R editor improvements for Bio7

30.01.2014 For the next release of Bio7 based on Eclipse 4.4 an improvement of the R editor for a much better editing experience of R scripts will be available. The integrated editor itself is built bottom-up (based upon an Eclipse editor editor template) although there a great editor frameworks (DLTK) or frameworks to develop programming

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Sinterklaas and Santa Claus gave presents

December 27, 2013
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Sinterklaas and Santa Claus gave presents

In December my nice little netbook acquired a shiny new openSUSE 13.1, including all the goodies I might want to use in 2014; R, Stan, Julia and Jags. So here is what you might get when you set up a computer for statistics today.JagsI have been using J...

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Visual debugging with StatET and RStudio

November 15, 2013
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Visual debugging with StatET and RStudio

Debugging code in R R provides several built in features for stepping through code for analyzing and debugging purposes. As an example you can examine variables during the execution of a script. Amongst others you can use the function debug(): After executing lines 8 and 9 you can stepwise inspect what foo() does with the

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