March 2016

Version 2.1.1 Released

March 31, 2016 | 0 Comments

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 ... [Read more...]

RStudio addins manager

March 31, 2016 | 0 Comments

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

March 31, 2016 | 0 Comments

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 ... [Read more...]

Bring on the ROpenSci #auunconf 2016!

March 31, 2016 | 0 Comments

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 | 0 Comments

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 ...
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What’s new on CRAN: March 2016

March 31, 2016 | 0 Comments

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() ... [Read more...]

Another Route to Jupyter Notebooks – Azure Machine Learning

March 31, 2016 | 0 Comments

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 ...
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Updated R & BLAS Timings

March 30, 2016 | 0 Comments

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 ...
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Updated R & BLAS Timings

March 30, 2016 | 0 Comments

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 ... [Read more...]

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

March 30, 2016 | 0 Comments

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, ...
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pacman Ver 0.4.1 Release

March 30, 2016 | 0 Comments

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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Unit testing with R

March 30, 2016 | 0 Comments

I've been introduced to unit testing while working with colleagues on quite a big project for which we use Python. At first I was a bit skeptical about the need of writing unit tests, but now I must admit that I am seduced by the idea and by the huge ... [Read more...]

Careful with tryCatch

March 30, 2016 | 0 Comments

tryCatch is one of the functions that allows the users to handle errors in a simple way. With it, you can do things like: if(error), then(do this). Take the following example: sqrt("a") Error in sqrt("a") : non-numeric argument to mathematical function Now maybe you’d want something ... [Read more...]

Unit testing with R

March 30, 2016 | 0 Comments

I've been introduced to unit testing while working with colleagues on quite a big project for which we use Python. At first I was a bit skeptical about the need of writing unit tests, but now I must admit that I am seduced by the idea and by the huge ... [Read more...]

List of useful RStudio addins made by useRs

March 30, 2016 | 0 Comments

RStudio’s new feature of supporting addins is great. It’s about 2 months old now, and I think one of the main problems right now is discoverability: there’s just no easy way to find addins or publish your own. As a first attempt at making addins more discoverable, I ... [Read more...]

Jupyter Notebooks with R in Azure Machine Learning Studio

March 30, 2016 | 0 Comments

by Andrie de Vries Earlier today Microsoft announced that Jupyter Notebooks are now available with the R Kernel as a service in Azure Machine Learning (ML) Studio. I wrote about Jupyter Notebooks in September 2015 (Using R with Jupyter Notebooks), where I noted some of the great benefits of using notebooks: ... [Read more...]
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