1831 search results for "Ggplot2"

The State of Statistics in Julia

December 2, 2012
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Updated 12.2.2012: Added sample output based on a suggestion from Stefan Karpinski. Introduction Over the last few weeks, the Julia core team has rolled out a demo version of Julia’s package management system. While the Julia package system is still very much in beta, it nevertheless provides the first plausible way for non-expert users to

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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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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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Fifty Shades of Grey in R

November 27, 2012
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Fifty Shades of Grey in R

My wife went out to her book group tonight and their book of the month was 50 Shades of Grey. Sadly, I could think of is that plotting 50 shades in R would be a neat exercise. require(ggplot2) grey50 <- data.frame( x = rep(1:10, 5), y = rep(1:5, ...

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nice ggplot intro tutorial. Just run the commands, about 6 pages…

November 22, 2012
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nice ggplot intro tutorial. Just run the commands, about 6 pages = flexible 1-3 hours of learning, depending how much reading you want to pair it with by Ramon Saccilotto

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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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Representing density in two dimensions

November 21, 2012
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Representing density in two dimensions

I’ll be subbing today for Chris, as we continue to explore some ggplot2 basics. Today, imagine that you have data distributed in two dimensions, and that you would like to convey differences in point density over space. As with many things, this...

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Matching clustering solutions using the ‘Hungarian method’

November 19, 2012
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Matching clustering solutions using the ‘Hungarian method’

Some time ago I stumbled upon a problem connected with the labels of a clustering. The partition an instance belongs to, is mostly labeled through an integer ranging from 1 to K, where k is the number of clusters. The task at that time was to plot a map of the results from the clustering of spatial polygons...

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Interactive Scenarios With Shiny – The Race to the F1 2012 Drivers’ Championship

November 18, 2012
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Interactive Scenarios With Shiny – The Race to the F1 2012 Drivers’ Championship

In Paths to the F1 2012 Championship Based on How They Might Finish in the US Grand Prix I posted a quick hack to calculate the finishing positions that would determine the F1 2012 Drivers’ Championship in today’s United States Grand Prix, leaving a tease dangling around the possibility of working out what combinations would

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More sense of random effects

November 17, 2012
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More sense of random effects

I can’t exactly remember how I arrived to Making sense of random effects, a good post in the Distributed Ecology blog (go over there and read it). Incidentally, my working theory is that I follow Scott Chamberlain (@recology_), who follows … Continue reading →

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