Packages

bigrquery 0.4.0

2017-06-26 Hadley Wickham
I’m pleased to announce that bigrquery 0.4.0 is now on CRAN. bigrquery makes it possible to talk to Google’s BigQuery cloud database. It provides both DBI and dplyr backends so you can interact with BigQuery using either low-level SQL or high-level dplyr verbs. Install the latest version of bigrquery with: install.packages("bigrquery") Basic usage Connect to a bigquery database using DBI: library(dplyr) con <- DBI::dbConnect(dbi_driver(), project = "publicdata", dataset = "samples", billing = "887175176791" ) DBI::dbListTables(con) #> [1] "github_nested" "github_timeline" "gsod" "natality" #> [5] "shakespeare" "trigrams" "wikipedia" (You’ll be prompted to authenticate interactively, or you can use a service token with set_service_token(). Read more →

dplyr 0.7.0

2017-06-13 Hadley Wickham
I’m pleased to announce that dplyr 0.7.0 is now on CRAN! (This was dplyr 0.6.0 previously; more on that below.) dplyr provides a “grammar” of data transformation, making it easy and elegant to solve the most common data manipulation challenges. dplyr supports multiple backends: as well as in-memory data frames, you can also use it with remote SQL databases. If you haven’t heard of dplyr before, the best place to start is the Data transformation chapter in R for Data Science. Read more →

shinydashboard 0.6.0

2017-05-18 Bárbara Borges
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Shinydashboard 0.6.0 is now on CRAN! This release of shinydashboard was aimed at both fixing bugs and also bringing the package up to speed with users’ requests and Shiny itself (especially fully bringing bookmarkable state to shinydashboard’s sidebar). In addition to bug fixes and new features, we also added a new “Behavior” section to the shinydashboard website to explain this release’s two biggest new features, and also to provide users with more material about shinydashboard-specific behavior. Read more →

readxl 1.0.0

2017-04-19 Jenny Bryan
I’m pleased to announce that readxl 1.0.0 is available on CRAN. readxl makes it easy to bring tabular data out of Excel and into R, for modern .xlsx files and the legacy .xls format. readxl does not have any tricky external dependencies, such as Java or Perl, and is easy to install and use on Mac, Windows, and Linux. You can install it with: install.packages("readxl") As well as fixing many bugs, this release: Read more →

dplyr 0.6.0 coming soon!

2017-04-13 Hadley Wickham
I’m planning to submit dplyr 0.6.0 to CRAN on May 11 (in four weeks time). In preparation, I’d like to announce that the release candidate, dplyr 0.5.0.9002 is now available. I would really appreciate it if you’d try it out and report any problems. This will ensure that the official release has as few bugs as possible. Installation Install the pre-release version with: # install.packages("devtools") devtools::install_github("tidyverse/dplyr") If you discover any problems, please file a minimal reprex on GitHub. Read more →

tidyverse updates

2017-04-12 Hadley Wickham
Over the couple of months there have been a bunch of smaller releases to packages in the tidyverse. This includes: forcats 0.2.0, for working with factors. readr 1.1.0, for reading flat-files from disk. stringr 1.2.0, for manipulating strings. tibble 1.3.0, a modern re-imagining of the data frame. This blog post summarises the most important new features, and points to the full release notes where you can learn more. Read more →

Shiny 1.0.1

2017-04-05 Bárbara Borges
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Shiny 1.0.1 is now available on CRAN! This release primarily includes bug fixes and minor new features. The most notable additions in this version of Shiny are the introduction of the reactiveVal() function (like reactiveValues(), but it only stores a single value), and that the choices of radioButtons() and checkboxGroupInput() can now contain HTML content instead of just plain text. We’ve also added compatibility for the development version of ggplot2. Read more →

leaflet 1.1.0

2017-02-22 Joe Cheng
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Leaflet 1.1.0 is now available on CRAN! The Leaflet package is a tidy wrapper for the Leaflet.js mapping library, and makes it incredibly easy to generate interactive maps based on spatial data you have in R. This release was nearly a year in the making, and includes many important new features. Easily add textual labels on markers, polygons, etc., either on hover or statically Highlight polygons, lines, circles, and rectangles on hover Read more →

See RStudio + sparklyr for big data at Strata + Hadoop World

2017-02-13 Roger Oberg
If big data is your thing, you use R, and you’re headed to Strata + Hadoop World in San Jose March 13 & 14th, you can experience in person how easy and practical it is to analyze big data with R and Spark. In a beginner level talk by RStudio’s Edgar Ruiz and an intermediate level workshop by Win-Vector’s John Mount, we cover the spectrum: What R is, what Spark is, how Sparklyr works, and what is required to set up and tune a Spark cluster. Read more →

roxygen2 6.0.0

2017-02-01 Hadley Wickham
roxygen2 6.0.0 is now available on CRAN. roxygen2 helps you document your packages by turning specially formatted inline comments into R’s standard Rd format. It automates everything that can be automated, and provides helpers for sharing documentation between topics. Learn more at http://r-pkgs.had.co.nz/man.html. Install the latest version with: install.packages("roxygen2") There are two headline features in this version of roxygen2: Markdown support. Improved documentation inheritance. These are described in detail below. Read more →