Author: David Smith

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: 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: David Smith. I’m a big fan using R to simulate data. When I’m trying to understand a data set, my first step is sometimes to simulate data from a model and compare the results to the data, before I go down the path of fitting an analytical model directly. Simulations are easy to code in R, but they can sometimes take a while to run — especially if there are a bunch of parameters you want to explore, which in turn requires a bunch of simulations. When your pc only has four core processors and your parallel ... Read More

Feed: R-bloggers. Author: David Smith. In what is rapidly becoming a series — cool things you can do with R in a tweet — Julia Silge demonstrates scraping the list of members of the US house of representatives on Wikipedia in just 5 R statements: library(rvest)library(tidyverse) h https://t.co/gloY1eErBn") reps %html_node("#mw-content-text > div > table:nth-child(18)") %>%html_table() reps %as_tibble() pic.twitter.com/25ANm7BHkj — Julia Silge (@juliasilge) January 12, 2018 Since Twitter munges the URL in the third line when you cut-and-paste, here's a plain-text version of Julia's code: library(rvest) library(tidyverse) h read_html("https://en.wikipedia.org/wiki/Current_members_of_the_United_States_House_of_Representatives") reps h %>% html_node("#mw-content-text > div > table:nth-child(18)") %>% html_table() reps reps[,c(1:2,4:9)] ... 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: David Smith. Registration is now open for useR! 2018, the official R user conference to be held in Brisbane, Australia July 10-13. If you haven't been to a useR! conference before, it's a fantastic opportunity to meet and mingle with other R users from around the world, see talks on R packages and applications, and attend tutorials for deep dives on R-related topics. This year's conference will also feature keynotes from Jenny Bryan, Steph De Silva, Heike Hofmann, Thomas Lin Pedersen, Roger Peng and Bill Venables. It's my favourite conference of the year, and I'm particularly looking forward ... Read More

Feed: R-bloggers. Author: David Smith. Microsoft R Open (MRO), Microsoft's enhanced distribution of open source R, has been upgraded to version 3.4.3 and is now available for download for Windows, Mac, and Linux. This update upgrades the R language engine to the latest R (version 3.4.3) and updates the bundled packages (specifically: checkpoint, curl, doParallel, foreach, and iterators) to new versions.  MRO is 100% compatible with all R packages. MRO 3.4.3 points to a fixed CRAN snapshot taken on January 1 2018, and you can see some highlights of new packages released since the prior version of MRO on the Spotlights page. As always, you ... Read More

Feed: R-bloggers. Author: David Smith. The SparklyR package from RStudio provides a high-level interface to Spark from R. This means you can create R objects that point to data frames stored in the Spark cluster and apply some familiar R paradigms (like dplyr) to the data, all the while leveraging Spark's distributed architecture without having to worry about memory limitations in R. You can also access the distributed machine-learning algorithms included in Spark directly from R functions.  If you don't happen to have a cluster of Spark-enabled machines set up in a nearby well-ventilated closet, you can easily set one ... 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: 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