Blog Archives

ggplot2 updates

January 9, 2015
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ggplot2 updates

ggplot2 1.0.0 As you might have noticed, ggplot2 recently turned 1.0.0. This release incorporated a handful of new features and bug fixes, but most importantly reflects that ggplot2 is now a mature plotting system and it will not change significantly in the future. This does not mean ggplot2 is dead! The ggplot2 community is rich

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httr 0.6.0

December 14, 2014
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httr 0.6.0

httr 0.6.0 is now available on CRAN. The httr packages makes it easy to talk to web APIs from R. Learn more in the quick start vignette. This release is mostly bug fixes and minor improvements. The most important are: handle_reset(), which allows you to reset the default handle if you get the error “easy

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tidyr 0.2.0 (and reshape2 1.4.1)

December 8, 2014
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tidyr 0.2.0 (and reshape2 1.4.1)

tidyr 0.2.0 is now available on CRAN. 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 variables in columns and observations in rows, and is described in more detail in the tidy data vignette. Install tidyr with: install.packages("tidyr")

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magrittr 1.5

December 1, 2014
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2014-12-02 22_48_10-Clipboard

(Posted on behalf of Stefan Milton Bache) Sometimes it’s the small things that make a big difference. For me, the introduction of our awkward looking friend, %>%, was one such little thing. I’d never suspected that it would have such an impact on the way quite a few people think and write R (including my

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rvest: easy web scraping with R

November 24, 2014
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rvest: easy web scraping with R

rvest is new package that makes it easy to scrape (or harvest) data from html web pages, by libraries like beautiful soup. It is designed to work with magrittr so that you can express complex operations as elegant pipelines composed of simple, easily understood pieces. Install it with: install.packages("rvest") rvest in action To see rvest

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RSQLite 1.0.0

October 25, 2014
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RSQLite 1.0.0

I’m very pleased to announce a new version of RSQLite 1.0.0. RSQLite is the easiest way to use SQL database from R: library(DBI) # Create an ephemeral in-memory RSQLite database con <- dbConnect(RSQLite::SQLite(), ":memory:") # Copy in the buit-in mtcars data frame dbWriteTable(con, "mtcars", mtcars, row.names = FALSE) #> TRUE # Fetch all results

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dplyr 0.3

October 13, 2014
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dplyr 0.3

I’m very pleased to announce that dplyr 0.3 is now available from CRAN. Get the latest version by running: install.packages("dplyr") There are four major new features: Four new high-level verbs: distinct(), slice(), rename(), and transmute(). Three new helper functions between, count(), and data_frame(). More flexible join specifications. Support for row-based set operations. There are two

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devtools 1.6

October 2, 2014
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devtools 1.6

Devtools 1.6 is now available on CRAN. Devtools makes it so easy to build a package that it becomes your default way to organise code, data and documentation. Learn more at http://r-pkgs.had.co.nz/. You can get the latest version with: install.packages("devtools") We’ve made a lot of improvements to the install and release process: Installation functions now

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testthat 0.9

September 23, 2014
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testthat 0.9

testthat 0.9 is now available on CRAN. Testthat makes it easy to turn the informal testing that you’re already doing into formal automated tests. Learn more at http://r-pkgs.had.co.nz/tests.html This version of testthat has four important new features that bring testthat up to speed with unit testing frameworks in other languages: You can skip() tests with

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httr 0.5

September 3, 2014
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httr 0.5

httr 0.5 is now available on CRAN. The httr packages makes it easy to talk to web APIs from R. Learn more in the quick start vignette. This release is mostly bug fixes and minor improvements, but there is one major new feature: you can now save response bodies directly to disk. library(httr) # Download

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