Posts Tagged ‘ packages ’

Create elegant, interactive presentations from R with Slidify

November 15, 2012
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Create elegant, interactive presentations from R with Slidify

If you often find yourself cutting-and-pasting charts or tables generated in R into PowerPoint or Keynote, you might want to take a look at Slidify. Created by R user Ramnath Vaidyanathan, Slidify is an R package that allows you to use R Markdown to define the slide content and automatically embed R output. This is especially useful if the...

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Benchmarking bigglm

November 13, 2012
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By Joseph Rickert In a recent blog post, David Smith reported on a talk that Steve Yun and I gave at STRATA in NYC about building and benchmarking Poisson GLM models on various platforms. The results presented showed that the rxGlm function from Revolution Analytics’ RevoScaleR package running on a five node cluster outperformed a Map Reduce/ Hadoop implementation...

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RStudio releases Shiny

November 12, 2012
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RStudio has released a new package for R. Shiny allows R developers to build simple interactive Web-based interfaces for R scripts, using only R code (no JavaScript development required!). You can see some examples of Shiny in action in this blog post, and there are more details about Shiny's capabilities in this tutorial. Shiny was first announced to beta...

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New version of httr: 0.2

October 14, 2012
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New version of httr: 0.2

We’re happy to announce a new version of httr, a package designed to make it easy to work with web APIs. Httr is a wrapper around RCurl, and provides: functions for the most important http verbs: GET, HEAD, PATCH, PUT, DELETE and POST. automatic cookie handing across requests, connection sharing, and standard SSL config. a

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lubridate 1.2.0 now on CRAN

October 8, 2012
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lubridate 1.2.0 now on CRAN

The latest version of lubridate offers some powerful new features and huge speed improvements. Some areas, such as date parsing are more than 50 times faster. lubridate 1.2.0 also fixes those pesky NA bugs in 1.1.0. Here’s some of what you’ll find: Parsers can now handle a wider variety date formats, even within the same

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Style your R charts like the Economist, Tableau … or XKCD

October 5, 2012
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Style your R charts like the Economist, Tableau … or XKCD

As we noted last month, the new Themes feature in ggplot2 helps you customize the design of R charts to your liking. Now, R user Jeffrey Arnold has built on this feature to create standardized themes to make R graphics looks like those from major publications and other software systems. You can use his ggthemes package to make your...

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Improving the integration between R and Hadoop: rmr 2.0 released

October 4, 2012
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The RHadoop project, the open-source project supported by Revolution Analytics to integrate R and Hadoop, continues to evolve. Now available is version 2 of the rmr package, which makes it possible for R programmers to write map-reduce tasks in the R language, and have them run within the Hadoop cluster. This update is the "simplest and fastest rmr yet",...

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3-D animation of the changing Antarctic ice sheet

September 27, 2012
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Last month we shared an visualization showing the changing extent of Arctic sea-ice. This visualization by the multinational Commission for the Conservation of Antarctic Marine Living Resources (CCAMLR) switches the view to the Southern pole and takes the visualization to a whole new level, by animating it in 3-D: The amount of sea ice in the Southern Ocean surrounding...

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New version of devtools: 0.8

September 16, 2012
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New version of devtools: 0.8

We’re pleased to announce a new version of devtools, the package that makes R package development easy. The main features in this version are: A complete rewrite of the code loading system which simulates namespace loading much more accurately – this means using load_all is much closer to installing and loading the package. It also

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Visualize complex data with subplots

September 14, 2012
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Visualize complex data with subplots

Today's guest post comes from Garrett Grolemund, a software developer at RStudio — ed. I think of graphs as a type of visual summary for data. Yet I rarely see graphs used this way within visualizations. Consider tile plots. They group data into 2d bins and then summarize each group with a number. This approach is a go-to tool...

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