443 search results for "knitr"

Shiny released to CRAN; Shiny Server coming soon

December 5, 2012
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The shiny package, the R package from RStudio that makes it easy to build simple interactive interfaces for R scripts, is now available on CRAN. This will make it easier for R programmers to install and use shiny, and to run the interfaces they create from a local web browser. The next step is to be able to publish...

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Italian Bio R Day 2012 – Slides on Reproducible Research using R and Bioconductor

December 3, 2012
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Italian Bio R Day 2012 – Slides on Reproducible Research using R and Bioconductor

Thanks to Parco Tecnologico Padano (PTP), I was invited to speak at the first Italian Bio R Day that was held in Lodi on 30 November 2012. It was a nice opportunity to talk and listen about different aspects of R from practitioners with different backg...

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The tools in an R package developer’s toolbox

November 29, 2012
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The tools in an R package developer’s toolbox

Yihui Xie is the creator of several popular R packages, including knitr, animation and cranvas. In an interview with The Setup, he shares some of the software and hardware he uses in his data-to-day work, including (of course) R: For programming and data analysis, I primarily use R since I'm a statistician. I have created a bunch of R...

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We NEED more data

November 22, 2012
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We NEED more data

Email One of the historic difficulties of doing research on urban energy systems has been the limited availability of data at sufficiently detailed spatial resolutions. Without this data, you might end up relying on aggregate information about the built environment, building occupants, and local geography that doesn't apply to the specifics of a particular neighbourhood

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Video: SimpleR tricks and tools: Help, debugging, git, LaTeX, and workflow with R by Prof Rob Hyndman

November 21, 2012
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Video: SimpleR tricks and tools: Help, debugging, git, LaTeX, and workflow with R by Prof Rob Hyndman

This post shares the video from a talk presented on 20th November 2012 by Professor Rob Hyndman at Melbourne R Users. The talk provides an introduction to: Getting R help Debugging R functions R style guides Making good use of … Continue reading →

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Innovation in Statistical Computing

November 15, 2012
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In A Capitalist’s Dilemma, Whoever Wins on Tuesday, Clayton Christensen lays out three kinds of innovations through which an industry cycles: Empowering Innovations - those that offer products and services to a new customer base. The classic empowering (or disruptive) innovation is Ford Motor Company’s introduction of the low-cost Model T coupled with the ability of Ford’s own...

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The R-Podcast Episode 11: Reproducible Analysis Part 1 (Introduction)

November 13, 2012
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Season 2 of the R-Podcast is up and running! This episode begins a multi-part series on reproducible analysis using R. In this episode I discuss the usage of Sweave and LaTeX for producing reproducible reports, an introduction to the capabilities of the knitr package (more episodes will be coming dedicated to this package), and my

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Gradient Word Clouds

November 12, 2012
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Gradient Word Clouds

I like word clouds because they are visually appealing and provide a ton of information in a small space. Ever since I saw Drew Conway’s post (LINK) I have been looking for ways to improve word clouds. One of the … Continue reading →

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Introduction to R and Biostatistics (2012 version): presentation

November 12, 2012
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Introduction to R and Biostatistics (2012 version): presentation

To follow my Introducing R and Biostatistics to first year LCG students (2012 version) post,  you can now find the presentation online from my site either in presentation format, in a single webpage format, or the raw Rmd file. To prove the point that publishing to RPubs is super easy, you can also find the single...

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Unbelievable and Amazing R Shiny–Web Parameter Test in 1.5 Hours

November 9, 2012
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Unbelievable and Amazing R Shiny–Web Parameter Test in 1.5 Hours

Life keeps getting better and better.  Yesterday, I discovered the absolutely unbelievable and amazing work RStudio has done with Shiny employing one of my favorite R packages websockets.  As proof of the ease and quality, within a couple of ...

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