Tag: packages

Feed: Featured Blog Posts - Data Science Central. Author: Ayush Srivastava. “What you see is what you buy” It is believed that 95% of the purchase decisions happen in the subconscious (let’s call it the reptile brain). The decisions taken by the reptile brain are strongly influenced by what we see. When walking across a supermarket aisle, we see hundreds of packs of different products. But then, there are some products that capture our attention. When we see such products, the reptile brain kicks into action, it fixates its attention on that packaging that looks interesting (“ooh shiny!!!”) and before ... Read More

Feed: R-bloggers. Author: pmur002. This report describes several R packages that allow HTML content to be rendered as part of an R plot. The core package is called ‘layoutEngine’, but that package requires a “backend” package to perform HTML layout calculations. Three example backends are demonstrated: ‘layoutEngineCSSBox’, ‘layoutEnginePhantomJS’, and ‘layoutEngineDOM’. We also introduce two new font packages, ‘gyre’ and ‘courier’. Paul Murrell Download Related To leave a comment for the author, please follow the link and comment on their blog: R – Stat Tech. R-bloggers.com offers daily e-mail updates about R news and tutorials on topics such as: Data science, ... Read More

Feed: R-bloggers. Author: John Mount. In our last note we used wrapr::qe() to help quote expressions. In this note we will discuss quoting and code-capturing interfaces (interfaces that capture user source code) a bit more. My position on code-capturing interfaces (or non-standard-evaluation/NSE) is: if poorly handled, they can be a large interface price/risk to pay for the minor convenience of eliding a few quotation marks. Computation is meant to be over values. In fact one can think of computation as transforming code plus initial values to resulting values. Our wrapr R package has the sensible design principle: NSE can be ... Read More

Feed: R-bloggers. Author: Econometrics and Free Software. This blog post is an excerpt of my ebook Modern R with the tidyverse that you can read forfree here. This is taken from Chapter 5, which presentsthe {tidyverse} packages and how to use them to compute descriptive statistics and manipulate data.In the text below, I scrape a table from Wikipedia, which shows when African countries gainedindependence from other countries. Then, using {lubridate} functions I show you how you cananswers questions such as Which countries gained independence before 1960?. Set-up: scraping some data from Wikipedia {lubridate} is yet another tidyverse package, that makes ... Read More

Feed: R-bloggers. Author: R on YIHAN WU. The knitr and rmarkdown packages are used in conjunction with pandoc to convert R code and figures to a variety of formats including PDF, and word. Here, I’m exploring how to convert HTML back to markdown format. This post came about when I was searching how to convert XML to markdown, which I still haven’t found an easy way to do. Pandoc is not the only way to convert HTML to markdown (see turndown, html2text) Pandoc is packaged within RStudio and on Windows, the executables are located within Program Files/RStudio/bin/pandoc. The rmarkdown package ... Read More

Feed: R-bloggers. Author: Brian Lee Yung Rowe. I will be pushing a new version of futile.logger (version 1.5) to CRAN in January. This version introduces a number of enhancements and fixes some bugs. It will also contain at least one breaking change. I am making the release process public, since the package is now used in a number of other packages. If you use futile.logger, this is your opportunity to influence the direction of the package and prepare for changes. Please use the github issue tracker for discussion. There are two main themes for enhancements: 1) integration with the signal ... Read More

Feed: AWS Partner Network (APN) Blog. Author: AWS Admin. By Michael Moussa, APN Ambassador at RackspaceThis year’s AWS re:Invent was a nonstop, high-powered firehose of exciting new features and products. Native PHP support on Lambda wasn’t one of those features, but the new AWS Lambda runtime API and layers capabilities give us the ability to build a clean, supportable implementation of PHP on Lambda of our own. In this post, we’ll take a brief look at the overall workflow and runtime lifecycle, and then I’ll show you one way to build a PHP runtime to start powering your PHP applications on AWS Lambda ... Read More

Feed: Planet big data. Author: David Smith. In case you missed them, here are some articles from November of particular interest to R users. David Gerard assesses the plausibility of a key plot point in 'Jurassic Park' with simulations in R. In-database R is available in Azure SQL Database for private preview.  Introducing AzureR, a new suite of R packages for managing Azure resources in R. The AzureRMR package provides an interface for Resource Manager. Roundup of AI, Machine Learning and Data Science news from November 2018. You can now use the AI capabilities of Microsoft Cognitive Services within a container ... Read More

Feed: AWS Big Data Blog. Whatever your industry, data is central to how organizations function. When we discuss data strategy with customers, it’s often in the context of how do they ingest, store, process, analyze, distribute, and ultimately secure data.Amazon EMR is a managed Hadoop framework that you use to process vast amounts of data. One of the reasons that customers choose Amazon EMR is its security features. For example, customers like FINRA in regulated industries such as financial services, and in healthcare, choose Amazon EMR as part of their data strategy. They do so to adhere to strict regulatory ... Read More

Feed: R-bloggers. Author: John Mount. Pipelines in R are popular, the most popular one being magrittr as used by dplyr. This note will discuss the advanced re-usable piping systems: rquery/rqdatatable operator trees and wrapr function object pipelines. In each case we have a set of objects designed to extract extra power from the wrapr dot-arrow pipe %.>%. Piping Piping is not much more than having a system that lets one treat “x %.>% f(.)” as a near synonym for “f(x)”. For the wrapr dot arrow pipe the semantics are intentionally closer to (x %.>% f(.)) ~ {. . The pipe ... Read More