Category: R

Feed: R-bloggers. Author: matloff. The above title was the title of my talk this evening at our Bay Area R Users Group. I had been asked to talk about my new book, and I presented four of the myths that are dispelled in the book. Hadley also gave an interesting talk, “An introduction to tidy evaluation,” involving some library functions that are aimed at writing clearer, more readable R. The talk came complete with audience participation, very engaging and informative. The venue was GRAIL, a highly-impressive startup. We will be hearing a lot more about this company, I am sure ... Read More

Feed: R-bloggers. Author: Tim Bock. Infographics, dashboards, and reports often need to highlight or visualize a single number. But how do you highlight a single number so that it has an impact and looks good? It can be a big challenge to make a lonely, single number look great. In this post, I show 12 different ways of representing a single number. Most of these visualizations have been created automatically using R. When to create a visualization to represent a single number There are a number of situations in which it can be advantageous to create a visualization to represent ... Read More

Feed: R-bloggers. Author: hrbrmstr. International Code Talk Like A Pirate Day almost slipped by without me noticing (September has been a crazy busy month), but it popped up in the calendar notifications today and I was glad that I had prepped the meat of a post a few weeks back. There will be no ‘rrrrrr’ abuse in this post, I’m afraid, but there will be plenty of R code. We’re going to combine pirate day with “pirating” data, in the sense that I’m going to show one way on how to use the web scraping powers of R responsibly to ... Read More

Feed: R-bloggers. Author: Mango Solutions. Mango Solutions are delighted to announce the full EARL Boston agenda for this coming November! As always, we received more abstracts than we could accept and all were of excellent quality. Because of this, the decision-making process was not easy; however, we believe we’ve put together a great agenda that showcases how a range of industries are solving business problems with R. We’re confident that R users of all levels and from all industries will find the EARL Boston Conference useful. On to the speakers! Joining David, Mara and Tareef, are speakers from companies such ... Read More

Feed: R-bloggers. Author: Shirin's playgRound. I have written a blog post about why I love R and prefer it to other languages. The post is on my new site, but since it isn’t on R-bloggers yet I am also posting the link here: Working in Data Science, I often feel like I have to justify using R over Python. And while I do use Python for running scripts in production, I am much more comfortable with the R environment. Basically, whenever I can, I use R for prototyping, testing, visualizing and teaching. But because personal gut-feeling preference isn’t a very ... Read More

Feed: R-bloggers. Author: Sharp Sight. Last week’s blog post about Amazon’s search for a location for a second headquarters left me thinking about the company’s growth. After looking at the long term growth of the stock price, it occurred to me that visualizing the stock price data would be a great example of how to create a line chart in R using ggplot2. So in this blog post, I’ll show you how to make a line chart with ggplot2, step by step. Let’s jump in. First, we’ll load several packages: we’ll load readr, which we’ll use to read in the ... Read More

Feed: R-bloggers. Author: David Smith. Related To leave a comment for the author, please follow the link and comment on their blog: Revolutions. R-bloggers.com offers daily e-mail updates about R news and tutorials on topics such as: Data science, Big Data, R jobs, visualization (ggplot2, Boxplots, maps, animation), programming (RStudio, Sweave, LaTeX, SQL, Eclipse, git, hadoop, Web Scraping) statistics (regression, PCA, time series, trading) and more... If you got this far, why not subscribe for updates from the site? Choose your flavor: e-mail, twitter, RSS, or facebook ... Read More

Feed: R-bloggers. Author: Troy Walters. Many of the methods used in time series analysis and forecasting have been around for quite some time but have taken a back seat to machine learning techniques in recent years. Nevertheless, time series analysis and forecasting are useful tools in any data scientist’s toolkit. Some recent time series-based competitions have recently appeared on kaggle, such as one hosted by Wikipedia where competitors are asked to forecast web traffic to various pages of the site. As an economist, I have been working with time series data for many years; however, I was largely unfamiliar with ... Read More

Feed: R-bloggers. Author: Christoph Safferling. Q: What has 8 legs, 8 arms and 8 eyes?A: 8 pirates. Avast, ye scurvy scum! Today be September 19, the International Talk Like A Pirate Day. While it’s a silly “holiday”, it’s a great chance to switch your Facebook to Pirate English (“Arr, this be pleasing to me eye!”). Also, it’s as good a reason as any to go sailing the Internet Main, scouring for booty (data)! Well, any excuse, y’know… What is today known (more or less) as “Pirate English” (the bit with all the “arrr!”, “ahoy, ye matey!”, etc) is in fact ... Read More

Feed: R-bloggers. Author: Jonathan Sidi's R Blog. Take the mystery out of CRAN level package maintenance – Thinking of creating a new package? Dread the task of function documentation? Afraid to run devtools::check(build_args = '--as-cran') and get bombarded by Errors, Warnings, and Notes (oh my!) ? Wait…. breathe! After feeling all that anxiety and following all of Hadley’s directions online, I felt I was doing a lot of manual labour, and that a package should be doing all lot of this for me. So we wrote one – sinew (sin-yu). tl;dr: sinew is an automatic roxygen2 documentation creator Quick example, ... Read More