October 2016

R’s Testing Predicament

October 10, 2016 | Mango Blogger

Joe Russell If you were to ask any R-user for the reason for R’s success, you’re almost guaranteed to hear the words “open source”.  As the second most popular open source language (behind Python) R has exploded in popularity in … Continue reading → [Read more...]

Cartograms with R

October 9, 2016 | Theory meets practice...

Abstract We show how to create cartograms with R by illustrating the population and age-distribution of the planning regions of Berlin by static plots and animations. This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License. The markdown+Rknitr source code of this blog is available under a GNU ... [Read more...]

A set of #rstats #AdventureTime themed #openscience slide decks

October 9, 2016 | lortie

Purpose I recently completed a set of data science for biostatistics training exercises for graduate students. I extensively used R for Data Science and Efficient R programming to develop a set of Adventure Time R-statistics slide decks. Whilst I recognize that they are very minimal in terms of text, I ... [Read more...]

Let’s (briefly) revisit the Nobel API

October 9, 2016 | nsaunders

It’s always nice when 12-month old code runs without a hitch. Not sure why this did not become a Github repo first time around, but now it is: my RMarkdown code to generate a report using data from the Nobel Prize API. Now you too can generate a “gee, ... [Read more...]

How can we improve R-exercises?

October 9, 2016 | Onno Dijt

Hey there! We’ve been sharing R exercise sets for about a year, and think this is a good moment to reflect and ask for your feedback. So here is your opportunity to have a say in where we take R-exercises next! We’d like to hone in a bit ... [Read more...]

Map of Middle Earth in R

October 8, 2016 | C

Map of Middle EarthThe map above was created using ggplot2, ggmaps, and maptools in R.  These are just a few of the great R packages available for cartography and geographic applications.  Many readers of this blog will be familiar with these packages and more recent R package additions like leaflet.  ...
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Creating Sample Datasets – Exercises

October 7, 2016 | Avi Blinder

Creating sample data is a common task performed in many different scenarios. R has several base functions that make the sampling process quite easy and fast. Below is an explanation of the main functions used in the current set of exercices: 1. set.seed() – Although R executes a random mechanism of ... [Read more...]

On calculating AUC

October 7, 2016 | John Mount

Recently Microsoft Data Scientist Bob Horton wrote a very nice article on ROC plots. We expand on this a bit and discuss some of the issues in computing “area under the curve” (AUC). R has a number of ROC/AUC packages; for example ROCR, pROC, and plotROC. But it is ... [Read more...]

Shiny happy people in the land of the Czar

October 7, 2016 | Gianluca Baio

During the summer, we've worked silently but relentlessly to set up a departmental server that could run R-Shiny applications. There's a bunch of us in the department doing work on R and producing packages and so we thought it'd be a good idea to disseminate our research. Which is just ...
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In case you missed it: Septemer 2016 roundup

October 7, 2016 | David Smith

In case you missed them, here are some articles from September of particular interest to R users. The R-Ladies meetups and the Women in R Taskforce support gender diversity in the R community. Highlights from the Microsoft Data Science Summit include recordings of many presentations about R, and the keynote "... [Read more...]

tint 0.0.2: Tint Is Not Tufte

October 7, 2016 | Thinking inside the box

The tint package is now on CRAN. Its name stands for Tint Is Not Tufte and it offers a fresh take on the excellent Tufte-style html (and now also pdf) presentations. As a little teaser, here is what the html variant looks like: and the full under... [Read more...]
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