satRday location voting now open

May 11, 2016
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satRdays, free R conferences, are a project being supported by the R Consortium. When Gergely and I submitted our proposal, we said we’d be supporting three conferences: Budapest, Hungary (Gergely’s home turf) Somewhere in the US Somewhere else in the world We’ve had an overwhelming response with 40 submitted conferences but for the fully-funded ones, The post

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Plotting App for ggplot2 (Part 2)

May 11, 2016
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Plotting App for ggplot2 (Part 2)

Through this post, I would like to provide an update to my plotting app, which I first blogged about here. The app is available as part of my package RtutoR, which is published on CRAN.(The app is also hosted at shinyapps.io. However, unlike the package version, you would not be able to use your own Plotting App for...

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Gantt Charts in R using Plotly

May 10, 2016
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2016-05-11 18_55_17-Clipboard

Gantt Charts are a great way to keep track of timelines, progress of specific aspects of the project and resource utilization. Project Managers and anyone familiar with Microsoft Project would be familiar with Gantt Charts. Here’s how to make one in R using Plotly’s R API.

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Faster arrays and matrices in jsonlite 0.9.20

May 10, 2016
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Faster arrays and matrices in jsonlite 0.9.20

Yesterday a new version of the jsonlite package was released to CRAN. This update includes no new features, it only introduces performance optimizations. Large Matrices The jsonlite package was already highly optimized for converting vect...

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AISTATS 2016 [#1]

May 10, 2016
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AISTATS 2016 [#1]

Travelling through Seville, I arrived in Càdiz on Sunday night, along with a massive depression . Walking through the city from the station was nonetheless pleasant as this is an town full of small streets and nice houses. If with less churches than Seville! Richard Samworth gave the first plenary talk of AISTATS 2016  with

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Bike Rental Demand Estimation with Microsoft R Server

May 10, 2016
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Bike Rental Demand Estimation with Microsoft R Server

by Katherine Zhao, Hong Lu, Zhongmou Li, Data Scientists at Microsoft Bicycle rental has become popular as a convenient and environmentally friendly transportation option. Accurate estimation of bike demand at different locations and different times would help bicycle-sharing systems better meet rental demand and allocate bikes to locations. In this blog post, we walk through how to use Microsoft...

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Beaten by sheer pace! Cricket analytics with yorkr in paperback and Kindle versions

May 10, 2016
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Beaten by sheer pace! Cricket analytics with yorkr in paperback and Kindle versions

My book “Beaten by sheer pace! Cricket analytics with yorkr” is now available in paperback and Kindle versions. The paperback is available from Amazon (US, UK and Europe) for $ 54.95. The Kindle version can be downloaded from the Kindle store for $4.99 (Rs 332/-). Do pick up your copy. It should be a good

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New #rstats Podcast – R World News

May 10, 2016
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Keeping up with R-related news on Twitter, GitHub, CRAN & even R-Bloggers (et al) can be an all-encompassing task that may be fun, but doesn’t always make it easy to get work done. There is so much going on in the R community that we (myself and @jayjacobs) felt there was room for another podcast... Continue reading →

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Intro to Statistics with R Series

May 9, 2016
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Intro to Statistics with R Series

We are proud to announce we have made some huge updates to our Intro to Statistics with R series. Over 100 challenges and more than 30 videos are redesigned from scratch. Our intro to statistics with R courses have always been some of our most popular. Over 30,000 (!) students have taken this series and provided...

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The Mad Hatter Explains Support Vector Machines

May 9, 2016
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The Mad Hatter Explains Support Vector Machines

"Hatter?" asked Alice, "Why are support vector machines so hard to understand?" Suddenly, before you can ask yourself why Alice is studying machine learning in the middle of the 19th century, the Hatter disappeared. "Where did he go?" thought Alice as ...

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In case you missed it: April 2016 roundup

May 9, 2016
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In case you missed them, here are some articles from April of particular interest to R users. Lukasz Piwek recreates classic graphs from Tufte's 'The Visual Display of Quantitative Information' in R. A preview of upcoming R conferences in Europe. Andrie de Vries updates the data on R package growth on CRAN, and finds a segmented regression model with...

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addinslist package: An RStudio addin to discover and install RStudio addins

May 9, 2016
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addinslist package: An RStudio addin to discover and install RStudio addins

RStudio addins were released in early 2016 to provide anyone with the ability to add “extensions” to RStudio. This feature has quickly become popular, but discoverability was a problem: there was just no easy way to know what addins exist. To address that issue, one month ago I created a GitHub repo with a list of RStudio addins...

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Adobe: Give Credit. You DID NOT Write RSiteCatalyst.

May 9, 2016
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Adobe: Give Credit. You DID NOT Write RSiteCatalyst.

As an author of several open-source software projects, I’ve taken for granted that people using the software share the same community values as I do. Open-source authors provide their code “free” to the community so that others may benefit without having to re-invent the wheel. The only expectation (but not an actual requirement per se), is

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Preparing the data for modelling with R

May 9, 2016
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Preparing the data for modelling with R

Detect sentinel values, recode factor variables, replace missing values: a tutorial on various steps in data preparation using R. The post Preparing the data for modelling with R appeared first on MilanoR.

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Webinar Recap: Shapefiles for R Programmers

May 9, 2016
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Webinar Recap: Shapefiles for R Programmers

Last week I ran two webinars on my new course, Shapefiles for R Programmers. If you were interested in watching, but unable attend, you can watch a replay below: Some thoughts on webinars I ran my first webinar about 6 months ago. Before running it I was unsure what to expect. However, it immediately became clear The post

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Introduction to R for Data Science :: Session 2

May 9, 2016
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Introduction to R for Data Science :: Session 2

Welcome to Introduction to R for Data Science Session 2! The course is co-organized by Data Science Serbia and Startit. You will find all course material (R scripts, data sets, SlideShare presentations, readings) on these pages. Lecturers dipl. ing Branko Kovač, Data Analyst at CUBE, Data Science Mentor at Springboard, 

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How to be Bayesian and spare yourself a dreadful afternoon with your stupid football team losing the derby

May 9, 2016
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How to be Bayesian and spare yourself a dreadful afternoon with your stupid football team losing the derby

Yesterday was the second-last game of the Italian Serie A; I've been a Sampdoria supported since I was 12 $-$ at that time, they were starting to become one of the best clubs in Serie A (and that was back in the 80's when Serie A was arguably the best ...

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What’s the difference between machine learning, statistics, and data mining?

May 9, 2016
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What’s the difference between machine learning, statistics, and data mining?

Over the last few blog posts, I’ve discussed some of the basics of what machine learning is and why it’s important: – Why machine learning will reshape software engineering – What is the core task of machine learning – How to get started in machine learning in R Throughout those posts, I’ve been using the The post

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“Data Mining with R” Course | May 17-18

May 9, 2016
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Discover Data Mining with R: find patterns in large data sets using the R tools for Dimensionality Reduction, Clustering, Classification and Prediction. The post "Data Mining with R" Course | May 17-18 appeared first on MilanoR.

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feedbackr ⤌ R-devs + useRs

May 9, 2016
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feedbackr  ⤌  R-devs  + useRs

from Wikimedia In my last post I explained why I added a feedback function to googleformr. Since googleformr is an API for collecting data programmatically, I figured I’d leverage it for package development and accessibility. Below I’ll show how you can add your own feedback function to your package. Create your own feedback function First, make sure to...

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R for Deep Learning (III): CUDA and MultiGPUs Acceleration

May 8, 2016
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R for Deep Learning (III): CUDA and MultiGPUs Acceleration

Notes: 1. The entire source code of this post in here 2. The PDF version of this post in here In previous two blogs (here and here), we illustrated several skills to build and optimize artificial neural network (ANN) with R and speed up by parallel BLAS libraries in modern hardware platform including Intel Xeon

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Rblpapi 0.3.4

A new release of Rblpapi is now on CRAN. It provides a direct interface between R and the Bloomberg Terminal via the C++ API provided by Bloomberg Labs (but note that a valid Bloomberg license and installation is required). This marks the fifth release since the package first appeared on CRAN last year. Continued...

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Introducing DohaR – A new R User Group in Doha, Qatar

May 8, 2016
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Introducing DohaR – A new R User Group in Doha, Qatar

I’m starting a new R User Group in Doha, Qatar.  Our first meetup is on 26th May, at the HBKU Student Center in Education City.  I’ll be talking about run-time testing with my assertive package, and there will be two other speakers who I need to find pretty sharpish.  (If you want to talk, get

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Beaten by sheer pace – Cricket analytics with yorkr

May 8, 2016
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Beaten by sheer pace – Cricket analytics with yorkr

My ebook “Beaten by sheer pace – Cricket analytics with yorkr’  has been published in Leanpub.  You can now download the book (hot off the press!)  for all formats to your favorite device (mobile, iPad, tablet, Kindle)  from the Leanpub  “Beaten by sheer pace!”. The book has been published in the following formats namely PDF

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Too Much Parallelism is as Bad

May 7, 2016
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Too Much Parallelism is as Bad

The other day I run a machine learning backtest on a new data set. Once I got through the LDA and QDA initial run, I decided to try xgboost. The first thing I observed was a really bad performance. The results from the following debugging session were quite surprising to me. I have been using The post

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FSA v0.8.7 Released

May 7, 2016
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A new minor version (0.8.7) of the FSA (Fisheries Stock Assessment) package was recently released and is now on CRAN. A full description of changes is here. Three major changes are described below. Removed the dynamicPlot=TRUE option fr...

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Box Plot as Goal Post

May 7, 2016
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Box Plot as Goal Post

For as long as I have been working with water data, I wanted to construct a line graph superimposed on a box and whisker plot where the boxes show the distribution of values and the line shows some current condition.  One of my favorite things abo...

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Shiny Apps Gallery using Plotly in R

May 7, 2016
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Shiny Apps Gallery using Plotly in R

Announcing the new shiny apps gallery that showcases the use of Plotly’s R API in Shiny Applications. You can visit the gallery here: https://plot.ly/r/shiny-gallery/ Apps showcase the use of a variety of plotly features including: Adding interactive plotly graphs using plotlyOutput() Embedding ggplot style visualizations using ggplotly() Accessing click, hover and zoom events using event_data()

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Coming up: principal components analysis

May 7, 2016
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Coming up: principal components analysis

Just a “heads-up.” I’ve been editing a two-part series Nina Zumel is writing on some of the pitfalls of improperly applied principal components analysis/regression and how to avoid them (we are using the plural spelling as used in following Everitt The Cambridge Dictionary of Statistics). The series is looking absolutely fantastic and I think it … Continue reading...

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