Tag: Git

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: Planet MySQL; Author: Mark Callaghan; This has results for IO-bound Linkbench on a large server. I previously shared results for in-memory & low-concurrency Linkbench.tl;drCompression doesn't hurt MyRocks performance MyRocks matches or beats InnoDB performance with much better efficiency ConfigurationI used my Linkbench repo and helper scripts to run sysbench with maxid1=1B, loaders=4 and requestors=16 so there will be 4+1 concurrent connections doing the load (4 for link/count tables, 1 for node table) and 16 connections running transactions after the load finishes. My linkbench repo has a recent commit that changes the Linkbench workload and results with that change are labeled new config while results without the change ... 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: 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: 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

Feed: R-bloggers. Author: Chris Baker. Why care about patents? 1. Patents play a critical role in incentivizing innovation, withoutwhich we wouldn't have much of the technology we rely on everyday What does your iPhone, Google's PageRank algorithm, and a buttersubstitute called Smart Balance all have in common? …They all probably wouldn't be here if not for patents. A patentprovides its owner with the ability to make money off of something thatthey invented, without having to worry about someone else copying theirtechnology. Think Apple would spend millions of dollars developing theiPhone if Samsung could just come along and rip itoff?Probably not ... Read More

Feed: CDH – Cloudera Engineering Blog. Author: Cy Jervis. Modeling EHR Data in Healthcare In this case study, we take a look at modeling electronic health record (EHR) data with deep learning and Deeplearning4j (DL4J). We draw inspiration from recent research showing that carefully designed neural network architectures can learn effectively from the complex, messy data collected in EHRs. Specifically, we describe how to train an  long short-term memory recurrent neural network (LSTM RNN) to predict in-hospital mortality among patients hospitalized in the intensive care unit (ICU). Of particular note, we show that even for a dataset orders of magnitude ... Read More

Feed: R-bloggers. Author: business-science.io - Articles. Employee turnvover (attrition) is a major cost to an organization, and predicting turnover is at the forefront of needs of Human Resources (HR) in many organizations. Until now the mainstream approach has been to use logistic regression or survival curves to model employee attrition. However, with advancements in machine learning (ML), we can now get both better predictive performance and better explanations of what critical features are linked to employee attrition. In this post, we’ll use two cutting edge techniques. First, we’ll use the h2o package’s new FREE automatic machine learning algorithm, h2o.automl(), to ... Read More