April 2016

Data Exploration with Tables exercises

April 20, 2016 | John Akwei

The table() function is intended for use during the Data Exploration phase of Data Analysis. The table() function performs categorical tabulation of data. In the R programming language, “categorical” variables are also called “factor” variables. The tabulation of data categories allows for Cross-Validation of data. Thereby, finding possible flaws within ... [Read more...]

Creating an Infographic with infogram

April 19, 2016 | Paul Oldham's Analytics Blog

In this article we will use RStudio to prepare patent data for visualisation in an infographic using the online software tool infogram. Infographics are a popular way of presenting data in a way that is easy for a reader to understand without reading a long report. Infographics are well suited ...

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Improve your shiny dashboard with Disqus panel

April 19, 2016 | Marcin Kosiński

Getting users feedback is always a pleasant moment. In most cases in World of Open Source we are creating tools and applications for people and we love to hear that someone thinks our (generally pet) project is useful. Mostly this moment is nicer than any paycheck. But how author can ... [Read more...]

Le Monde puzzle [#959]

April 19, 2016 | xi'an

Another of those arithmetic Le Monde mathematical puzzle: Find an integer A such that A is the sum of the squares of its four smallest dividers (including1) and an integer B such that B is the sum of the third poser of its four smallest factors. Are there such integers ...

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Notes from 2nd Bayesian Mixer Meetup

April 19, 2016 | R on mages' blog

Last Friday the 2nd Bayesian Mixer Meetup (@BayesianMixer) took place at Cass Business School, thanks to Pietro Millossovich and Andreas Tsanakas, who helped to organise the event. Bayesian Mixer at Cass First up was Davide De March talking about the c... [Read more...]

Notes from 2nd Bayesian Mixer Meetup

April 19, 2016 | Markus Gesmann

Last Friday the 2nd Bayesian Mixer Meetup (@BayesianMixer) took place at Cass Business School, thanks to Pietro Millossovich and Andreas Tsanakas, who helped to organise the event.Bayesian Mixer at CassFirst up was Davide De March talking about the challenges in biochemistry experimentation, which are often characterised by complex and ...

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R’s Growth Continues to Accelerate

April 19, 2016 | [email protected]

Each year I update the growth in R’s capability on The Popularity of Data Analysis Software. And each year, I think R’s incredible rate of growth will finally slow down. Below is a graph of the latest data, and as … Continue reading →

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Exploring NYC Taxi Data with Microsoft R Server and HDInsight

April 19, 2016 | David Smith

As I mentioned yesterday, Microsoft R Server now available for HDInsight, which means that you can now run R code (including the big-data algorithms of Microsoft R Server) on a managed, cloud-based Hadoop instance. Debraj GuhaThakurta, Senior Data Scientist, and Shauheen Zahirazami, Senior Machine Learning Engineer at Microsoft, demonstrate some ... [Read more...]

Shiny module design patterns: Pass module inputs to other modules

April 19, 2016 | Steph

Continuing in the series of shiny module design patterns, this post covers how to pass all the inputs from one module to another. TL;DR Return input from within the server call. Store the callModule() result in a variable. Pass the variable into arguments for other modules. Access the variable ...

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Display element ids for debugging Shiny apps

April 19, 2016 | Michael Kuhn

My current Shiny project contains at least five tables and I constantly forget how they are called. So I whipped up a little bookmarklet that uses jQuery to show the id of each div and input. Some of those can be ignored as they are internal names set by Shiny, ...

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Display element ids for debugging Shiny apps

April 19, 2016 | Michael Kuhn

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Tufte style visualizations in R using Plotly

April 19, 2016 | Riddhiman

This post is inspired by Lukasz Piwek’s awesome Tufte in R post. We’ll try to replicate Tufte’s visualization practices in R using Plotly. You can read more about Edward Tufte here. One easy way to replicate the graphs showcased on Lukasz’s blog would be to simply ... [Read more...]

The Eurovision 2016 song contest in an R Shiny app

April 18, 2016 | Longhow Lam

Introduction In just a few weeks the Eurovision 2016 song contest will be held again. There are 43 participants, two semi-finals on the 10th and 12th of May and a final on the 14th of May. It’s going to be a … Continue reading →

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A scalable data science platform with Microsoft R Server and Spark

April 18, 2016 | David Smith

If you want to train a statistical model on very large amounts of data, you'll need three things: a storage platform capable of holding all of the training data, a computational platform capable of efficently performing the heavy-duty mathematical computations required, and a statistical computing language with algorithms that can ... [Read more...]

R and GIS – working with shapefiles

April 18, 2016 | R – StudyTrails

R has some very useful libraries for working with spatial data. In this blog we will look at some of the libraries and demonstrate few basic functionalities. Lets start with reading a shapefile. How to read a shapefile : We will use the maptools package to read the shape file. Along ... [Read more...]

R Election Analysis Contest Results

April 18, 2016 | Ari Lamstein

On March 28th I announced the R Election Analysis Contest. The quantity and quality of submissions was amazing! If you have not been following along, here is a complete list of submissions, with links, in order of submission. I encourage you to read them all! A Behind the Scenes Look… ...

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7 new R jobs from around the world (2016-04-18)

April 18, 2016 | Tal Galili

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EARL2016, London – Deadline for Abstracts – 29th April

April 18, 2016 | Liz Matthews

Just two weeks remain until the deadline for the submission of abstracts for EARL2016. If you have a story to tell about the commercial use and business benefits of R, we want to hear from you! Submissions should be made online. We … Continue reading → [Read more...]

The Hype Bubble Map for Dog Breeds

April 18, 2016 | aschinchon

In the whole history of the world there is but one thing that money can not buy… to wit the wag of a dog’s tail (Josh Billings) In this post I combine several things: Simple webscraping to read the list of companion dogs from Wikipedia. I love rvest package ...