389 search results for "Sweave"

Olimpic predictions – from an R web service provider’s point of view

September 17, 2012
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Olimpic predictions – from an R web service provider’s point of view

Hello, world!Back in July we have read Markus Gesmann’s great blogpost about a prediction for the 100m final in London. Soon we decided to create similar estimates about the forthcoming events and started to post our results on Facebook.We would like to emphasise again that these kind of extrapolated estimates are rather just for fun and we also think...

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Integrate data and reporting on the Web with knitr

September 11, 2012
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Today's guest post comes from Yihui Xie, author of the knitr package — ed. Hi, this is Yihui Xie, and I'm guest posting on the Revolutions blog to talk about one aspect of the knitr package: how we can integrate data analysis and reporting in R with the Web. This post includes both the work that has been done...

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R Package Vignettes with Markdown

September 10, 2012
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What is the best resource to learn an R package? Many R users know the almighty question mark ? in R. For example, type ?lm and you will see the documentation of the function lm. If you know nothing about a package, you can take a look at the HTML help...

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R-Studio

August 28, 2012
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R-Studio

A post over on Dang, another error (show me yours and I’ll show you mine) has a method of working with R which uses an IDE called Eclipse in conjunction with a plugin called StatET. Eclipse is one of a number of IDEs that I’m aware of (Tinn-R being another, but this Sciviews pages has

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Heatmap tables with ggplot2, sort-of

August 27, 2012
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Heatmap tables with ggplot2, sort-of

I wrote before about heatmap tables as a better way of producing frequency or other tables, with a solution which works nicely in latex. It is possible to do them much more easily in ggplot2, like this library(Hmisc) library(ggplot2) library(reshape) data(HairEyeColor) P=t(HairEyeColor) Pm=melt(P) ggfluctuation(Pm,type="heatmap")+geom_text(aes(label=Pm$value),colour="white")+ opts(axis.text.x=theme_text(size = 15),axis.text.y=theme_text(size = 15)) Note that ggfluctuation will also take

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Custom CSS for HTML generated using RStudio

August 26, 2012
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Custom CSS for HTML generated using RStudio

People have been telling me for a while that the latest version of RStudio, the IDE for R, is a great way to generate reports. I finally got around to trying it out and for once, the hype is justified. Start with this excellent tutorial from Jeremy Anglim. Briefly: the process is not so different

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Open Research Data Processes: KMi Crunch – Hosted RStudio Analytics Environment

August 23, 2012
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Open Research Data Processes: KMi Crunch – Hosted RStudio Analytics Environment

One of the possible barriers to widespread adoption of open notebook science is knowing where to start. Video reports of lab experiments hosted on Youtube can be easily embedded in a hosted WordPress blog; a MediaWiki wiki can be used to provide one page per experiment, with change tracking/history on each page and a shadow

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Creating beautiful reports from R with knitr

August 21, 2012
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Creating beautiful reports from R with knitr

People use the R language every day to create the elements of reports: tables, charts, analyses, and forecasts. But assembling all of that information into a print-ready document laid out with text can a hassle. You can cut-and-paste all of the elements into Word, but then what do you do when the data file gets updated at the last...

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Heatmap tables with ggplot2

August 20, 2012
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Heatmap tables with ggplot2

I wrote before about heatmap tables as a better way of producing frequency or other tables, with a solution which works nicely in latex. It is possible to do them much more easily in ggplot2, like this library(Hmisc) library(ggplot2) library(reshape) data(HairEyeColor) P=t(HairEyeColor) Pm=melt(P) ggfluctuation(Pm,type="heatmap")+geom_text(aes(label=Pm$value),colour="white")+ opts(axis.text.x=theme_text(size = 15),axis.text.y=theme_text(size = 15)) Note that ggfluctuation will also take … Continue reading...

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The Setup (Part 1)

August 16, 2012
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The Setup (Part 1)

One of the more challenging things about beginning graduate school was learning what tools and software I needed in order to work efficiently. Unlike college where software requirements were laid out in front of me and everyone seemed to use … Continue reading →

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