Monthly Archives: May 2015

Data Science: from Small to Big Data

May 29, 2015
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Data Science: from Small to Big Data

This Tuesday, I will be in Leuven (in Belgium) at the ACP meeting to give  a talk on Data Science: from Small to Big Data. The talk will take place in the Faculty Club from 6 till 8 pm. Slides could be found online (with animated pictures). As usual, comments are welcome.

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Roman dataviz and inference in complex systems

May 29, 2015
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Roman dataviz and inference in complex systems

I’m in Rome at the International Workshop on Computational Economics and Econometrics. I gave a seminar on Monday on the ever-popular subject of data visualization. Slides are here. In a few minutes, I’ll be speaking on Inference in Complex Systems, … Continue reading →

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R courses

R courses

For persons interested in advancing their knowledge on R and data science with R, BNOSAC offers a range of courses for R users. These cover courses on - R analytics (Statistical Machine Learning with R, Text mining with R, Applied Spatial modelling...

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Static and moving circles

May 29, 2015
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Static and moving circles

After the previous post on the packcircles package for R someone suggested it would be useful to be able to fix the position of selected circles. As a first attempt, I've added an optional weights argument to the circleLayout function. Weights can be in the range 0-1 inclusive, where a weight of 0 prevents a circle from moving, while...

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Analysis of gene expression timecourse data using maSigPro

May 28, 2015
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Analysis of gene expression timecourse data using maSigPro

About a year ago, I did a little work on a very interesting project which was trying to identify blood-based biomarkers for the early detection of stroke. The data included gene expression measurements using microarrays at various time points after the onset of ischemia (reduced blood supply). I had not worked with timecourse data before,

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Qualitative Text Analysis in R with RQDA

May 28, 2015
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Last Friday at the Davis R Users’ Group, Mallory Johnson gave a presentation on RQDA, an R-based GUI tool for doing coding on documents for use in qualitative text analysis. Here’s the video, and you can view the slides here Resources The RQDA home page More RQDA instructional videos

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SparkR preview by Vincent Warmerdam

May 28, 2015
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SparkR preview by Vincent Warmerdam

SparkR preview in Rstudio Apache Spark is the hip new technology on the block. It allows you to write scripts in a functional style and the technology behind it will allow you to run iterative tasks very quickly on a cluster of machines. It’s benchmarked to be quicker than hadoop for most machine learning use

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RevoScaleR’s Naive Bayes Classifier rxNaiveBayes()

May 28, 2015
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RevoScaleR’s Naive Bayes Classifier rxNaiveBayes()

by Joseph Rickert, Because of its simplicity and good performance over a wide spectrum of classification problems the Naïve Bayes classifier ought to be on everyone's short list of machine learning algorithms. Now, with version 7.4 we have a high performance Naïve Bayes classifier in Revolution R Enterprise too. Like all Parallel External Memory Algorithms (PEMAs) in the RevoScaleR...

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No THIS Is How You Dplyr and Data.Table!

May 28, 2015
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So, I got some great solutions to my dplyr mutation problem to share. Just wait until you see these things! Remember, I was having trouble reconciling two date columns into a minimum value in the presence of NA values. Here’s the fake data agai...

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An R Enthusiast Goes Pythonic!

May 28, 2015
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An R Enthusiast Goes Pythonic!

I’ve spent so many years using and broadcasting my love for R and using Python quite minimally. Having read recently about machine learning in Python, I decided to take on a fun little ML project using Python from start to … Continue reading →

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