Monthly Archives: March 2016

Version 2.1.1 Released

March 31, 2016
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Version 2.1.1 Released

Hi Folks, ggtern v2.1.1 has just been submitted to CRAN. This includes a number of minor bug fixes, and an additional annotation, permitting the rendering of raster data, say for the inclusion of images. This post will demonstrate the use of this requested feature. Demonstration of Raster Annotation Several people have asked me how they The post

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RStudio addins manager

March 31, 2016
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RStudio addins manager

RStudio addins let you execute a bit of R code or a Shiny app through the RStudio IDE, either via the Addins dropdown menu or with a keyboard shortcut. This package is an RStudio addin for managing other addins. To run these addins, you need the latest version of RStudio. Installation The package can be

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The monetizr package: make money on your open source R packages

March 31, 2016
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I’ve had the great privilege to be a small part of the R open source community, contributing packages like broom, gganimate, fuzzyjoin, and ggfreehand. In the process I’ve become friends and colleagues with brilliant statisticians and data scientists and learned to engage with data in powerful ways. But there’s one thing that my colleagues and I...

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Bring on the ROpenSci #auunconf 2016!

March 31, 2016
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Bring on the ROpenSci #auunconf 2016!

I'll be heading to the 2016 ROpenSci un-conference (hackathon) in Brisbane later this month to smash out a heap of open-science R code. Ideas are already flowing quite nicely, and I'm confident that any ideas we don't end up officially...Continue Reading →

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densratio: New R Package for Density Ratio Estimation

March 31, 2016
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densratio: New R Package for Density Ratio Estimation

1. OverviewDensity ratio estimation is described as follows: for given two data samples $x$ and $y$ from unknown distributions $p(x)$ and $q(y)$ respectively, estimate $$ w(x) = frac{p(x)}{q(x)} $$ where $x$ and $y$ are $d$-dimensional real numbers.The estimated density ratio function $w(x)$ can be used in many applications such as the inlier-based outlier detection and...

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What’s new on CRAN: March 2016

March 31, 2016
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What’s new on CRAN: March 2016

by Joseph Rickert Packages continue to flood into CRAN at a rate the challenges the sanity of anyone trying to keep up with what's new. So far this month, more than 190 packages have been added. Here is a my view of what's interesting in this March madness. The launch_tutorial() function from the RtutoR package by Anup Nair launches...

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Another Route to Jupyter Notebooks – Azure Machine Learning

March 31, 2016
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Another Route to Jupyter Notebooks – Azure Machine Learning

In much the same way that the IBM DataScientist Workbench seeks to provide some level of integration between analysis tools such as Jupyter notebooks and data access and storage, Azure Machine Learning studio also provides a suite of tools for accessing and working with data in one location. Microsoft’s offering is new to me, but

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Updated R & BLAS Timings

March 30, 2016
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Updated R & BLAS Timings

With the recent releases of R 3.2.4 and OpenBLAS 2.17, I decided it was time to re-benchmark R speed. I’ve settled on a particular set of tests, based on my experience as well as some of Simon Urbanek’s work which I separated into two groups: those focusing on BLAS-heavy operations and those which do not. Read the full...

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Real-time model scoring for streaming data – a prototype based on Oracle Stream Explorer and Oracle R Enterprise

March 30, 2016
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Real-time model scoring for streaming data – a prototype based on Oracle Stream Explorer and Oracle R Enterprise

Whether applied to manufacturing, financial services, energy, transportation, retail, government, security or other domains, real-time analytics is an umbrella term which covers a broad spectrum of capabilities (data integration, analytics, business intelligence) built on streaming input from multiple channels. Examples of such channels are: sensor data, log data, market data, click streams, social media and monitoring imagery. Key metrics...

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pacman Ver 0.4.1 Release

March 30, 2016
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pacman Ver 0.4.1 Release

It was just over a year ago that Dason Kurkiewicz and I released pacman to CRAN.  We have been developing the package on GitHub in the past 14 months and are pleased to announce these changes have made their way … Continue reading →

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