3543 search results for "git"

Shiny is the new Cool

November 29, 2012
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Shiny is the new Cool

Several of you will probably have tried out the new Shiny package brought to the table by the RStudio guys This is just what I have been looking for and to my mind could provide a quantum leap in the use of R. There have been other packages addressing the need for web user interactivity

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Sorting Within Lattice Graphics in R

November 29, 2012
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Sorting Within Lattice Graphics in R

DefaultBy default, lattice sorts the observations by the axis values, starting at the bottom left.For example,library(lattice)colors = c("#1B9E77", "#D95F02", "#7570B3")dotplot(rownames(mtcars) ~ mpg, data = mtcars, col = colors, pch = 1)produc...

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Confident package releases in R with crant

November 29, 2012
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Confident package releases in R with crant

I recently released the new lambda.r package on CRAN for functional programming. This was my first new package in quite some …Continue reading »

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Hadley’s guide to high-performance R with Rcpp

November 28, 2012
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Hadley Wickham has written a comprehensive tutorial for the Rcpp package, which makes it easy to create C++ code embedded in R programs. Hadley explains why you might want to do this in the introduction: Sometimes R code just isn't fast enough - you've used profiling to find the bottleneck, but there's simply no way to make the code...

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Hurricane Sandy Land Wind Speed and Kriging

November 28, 2012
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Hurricane Sandy Land Wind Speed and Kriging

NJ Hurricane Sandy Landfall Data These data come from the National Climatic Data Center (NCDC).  Using the above link will download all of the data collected by the NCDC on the day of Hurricane Sandy.  The data can also be obtained directly from the source at http://cdo.ncdc.noaa.gov/qclcd/QCLCD. The purpose of this post is not a discussion

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Picking Lotto Numbers

November 28, 2012
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There's not a lot you can do to increase your odds of winning the lottery tonight. With the PowerBall at $500 million though, a lot of otherwise rational folks might be tempted into playing. For those of you newly tempted, it is important to remember a...

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Images as Voronoi tesselations

November 28, 2012
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Images as Voronoi tesselations

This is probably the coolest-looking thing I’ve figured out how to do with raster images in R. Similar to (although not quite as impressive as) these images by Jeff Clark, I alter the simple k-means approach described in the previous post to...

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Quick Shiny Demo – Exploring NHS Winter Sit Rep Data

November 28, 2012
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Quick Shiny Demo – Exploring NHS Winter Sit Rep Data

Having spent a chink of the weekend and a piece of yesterday trying to pull NHS Winter sitrep data into some sort of shape in Scraperwiki, (described, in part, here: When Machine Readable Data Still Causes “Issues” – Wrangling Dates…), I couldn’t but help myself last night and had a quick go at using RStudio’s

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Why [Not] Simulate?

November 27, 2012
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Why [Not] Simulate?

Since we are in the “big data” Era, which means that a massive amount of data are made daily available by governments, institutions, and ordinary people like you and me—the importance of simulate data for “frequentists”, like myself, seems to fade. After all, once we have access to “real data”, why bother with non-real data,

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Spatial Data visualization with R

November 27, 2012
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Spatial Data visualization with R

I have published the first version of the code and main figures of the “Spatial Data” chapter of the forthcoming …Continuar leyendo »

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