Tidyverse

haven 1.1.0

2017-07-13 Hadley Wickham
I’m pleased to announce the release of haven 1.1.0. Haven is designed to faciliate the transfer of data between R and SAS, SPSS, and Stata. It makes it easy to read SAS, SPSS, and Stata file formats in to R data frames, and makes it easy to save your R data frames in to SPSS and Stata if you need to collaborate with others using closed source statistical software. Install the latest version by running: Read more →

dbplyr 1.1.0

2017-06-27 Hadley Wickham
I’m pleased to announce the release of the dbplyr package, which now contains all dplyr code related to connecting to databases. This shouldn’t affect you-as-a-user much, but it makes dplyr simpler, and makes it easier to release improvements just for database related code. You can install the latest version of dbplyr with: install.packages("dbplyr") DBI and dplyr alignment The biggest change in this release is that dplyr/dbplyr works much more directly with DBI database connections. 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 →

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 →

The schedule is out - rstudio:conf 2017

2016-10-13 Roger Oberg
rstudio::conf 2017, the conference on all things R and RStudio, is only 90 days away. Now is the time to claim your spot or grab one of the few remaining seats at Training Days - including the new Tidyverse workshop. REGISTER NOW Whether you’re already registered or still working on it, we’re delighted today to announce the full conference schedule, so that you can plan your days in Florida. rstudio::conf 2017 takes place January 12-14 at the Gaylord Resorts in Kissimmee, Florida. Read more →

haven 1.0.0

2016-10-04 Hadley Wickham
I’m pleased to announce the release of haven. Haven is designed to faciliate the transfer of data between R and SAS, SPSS, and Stata. It makes it easy to read SAS, SPSS, and Stata file formats in to R data frames, and makes it easy to save your R data frames in to SAS, SPSS, and Stata if you need to collaborate with others using closed source statistical software. Install haven by running: Read more →

ggplot2 2.2.0 coming soon!

2016-09-30 Hadley Wickham
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I’m planning to release ggplot2 2.2.0 in early November. In preparation, I’d like to announce that a release candidate is now available: version 2.1.0.9001. Please try it out, and file an issue on GitHub if you discover any problems. I hope we can find and fix any major issues before the official release. Install the pre-release version with: # install.packages("devtools") devtools::install_github("hadley/ggplot2") If you discover a major bug that breaks your plots, please file a minimal reprex, and then roll back to the released version with: Read more →

lubridate 1.6.0

2016-09-15 Hadley Wickham
I am pleased to announced lubridate 1.6.0. Lubridate is designed to make working with dates and times as pleasant as possible, and is maintained by Vitalie Spinu. You can install the latest version with: install.packages("lubridate") This release includes a range of bug fixes and minor improvements. Some highlights from this release include: period() and duration() constructors now accept character strings and allow a very flexible specification of timespans: period("3H 2M 1S") #> [1] "3H 2M 1S" duration("3 hours, 2 mins, 1 secs") #> [1] "10921s (~3. Read more →

tidyverse 1.0.0

2016-09-15 Hadley Wickham
The tidyverse is a set of packages that work in harmony because they share common data representations and API design. The tidyverse package is designed to make it easy to install and load core packages from the tidyverse in a single command. The best place to learn about all the packages in the tidyverse and how they fit together is R for Data Science. Expect to hear more about the tidyverse in the coming months as I work on improved package websites, making citation easier, and providing a common home for discussions about data analysis with the tidyverse. Read more →

forcats 0.1.0

2016-08-31 Hadley Wickham
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I’m excited to announce forcats, a new package for categorical variables, or factors. Factors have a bad rap in R because they often turn up when you don’t want them. That’s because historically, factors were more convenient than character vectors, as discussed in stringsAsFactors: An unauthorized biography by Roger Peng, and stringsAsFactors = by Thomas Lumley. If you use packages from the tidyverse (like tibble and readr) you don’t need to worry about getting factors when you don’t want them. Read more →