Blog Archives

tibble 1.1

July 5, 2016
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tibble 1.1

We’re proud to announce version 1.1 of the tibble package. Tibbles are a modern reimagining of the data frame, keeping what time has shown to be effective, and throwing out what is not. Grab the latest version with: install.packages("tibble") There are three major new features: A more consistent naming scheme Changes to how columns are

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httr 1.2.0

July 5, 2016
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httr 1.2.0

httr 1.2.0 is now available on CRAN. The httr package makes it easy to talk to web APIs from R. Learn more in the quick start vignette. Install the latest version with: install.packages("httr") There are a few small new features: New RETRY() function allows you to retry a request multiple times until it succeeds, if

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xml2 1.0.0

July 5, 2016
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xml2 1.0.0

We are pleased to announced that xml2 1.0.0 is now available on CRAN. Xml2 is a wrapper around the comprehensive libxml2 C library, and makes it easy to work with XML and HTML files in R. Install the latest version with: install.packages("xml2") There are three major improvements in 1.0.0: You can now modify and create

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dplyr 0.5.0

June 27, 2016
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dplyr 0.5.0

I’m very pleased to announce that dplyr 0.5.0 is now available from CRAN. Get the latest version with: install.packages("dplyr") dplyr 0.5.0 is a big release with a heap of new features, a whole bunch of minor improvements, and many bug fixes, both from me and from the broader dplyr community. In this blog post, I’ll

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tidyr 0.5.0

June 13, 2016
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tidyr 0.5.0

I’m pleased to announce tidyr 0.5.0. tidyr makes it easy to “tidy” your data, storing it in a consistent form so that it’s easy to manipulate, visualise and model. Tidy data has a simple convention: put variables in the columns and observations in the rows. You can learn more about it in the tidy data

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testthat 1.0.0

April 28, 2016
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testthat 1.0.0

testthat 1.0.0 is now available on CRAN. Testthat makes it easy to turn your existing informal tests into formal automated tests that you can rerun quickly and easily. Learn more at http://r-pkgs.had.co.nz/tests.html. Install the latest version with: install.packages("testthat") This version of testthat saw a major behind the scenes overhaul. This is the reason for the

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Feather: A Fast On-Disk Format for Data Frames for R and Python, powered by Apache Arrow

March 29, 2016
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Feather: A Fast On-Disk Format for Data Frames for R and Python, powered by Apache Arrow

Wes McKinney, Software Engineer, Cloudera Hadley Wickham, Chief Scientist, RStudio This past January, we (Hadley and Wes) met and discussed some of the systems challenges facing the Python and R open source communities. In particular, we wanted to see if there were some opportunities to collaborate on tools for improving interoperability between Python, R, and

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tibble 1.0.0

March 24, 2016
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tibble 1.0.0

I’m pleased to announce tibble, a new package for manipulating and printing data frames in R. Tibbles are a modern reimagining of the data.frame, keeping what time has proven to be effective, and throwing out what is not. The name comes from dplyr: originally you created these objects with tbl_df(), which was most easily pronounced

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ggplot2 2.1.0

March 4, 2016
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ggplot2 2.1.0

I’m very pleased to announce the release of ggplot2 2.1.0, scales 0.4.0, and gtable 0.2.0. These are set of relatively minor updates that fix a whole bunch of little problems that crept in during the last big update. The most important changes are described below. When mapping an aesthetic to a constant the default guide

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tidyr 0.4.0

February 2, 2016
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tidyr 0.4.0

I’m pleased to announce tidyr 0.4.0. tidyr makes it easy to “tidy” your data, storing it in a consistent form so that it’s easy to manipulate, visualise and model. Tidy data has a simple convention: put variables in the columns and observations in the rows. You can learn more about it in the tidy data

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