2318 search results for "map"

Course: Analysing Palaeolimnological Data with R

April 8, 2012
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16th — 20th August 2012, University Marine Biological Station Millport, Isle of Cumbrae, Scotland. Steve Juggins and I will be running a 4-day residential R course to coincide with the International Paleolimnology Symposium 2012 this August. The course will be held at the University Marine Biological Station Millport on the Isle of Cumbrae, within easy...

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RNA-Seq Methods & March Twitter Roundup

April 6, 2012
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There were lots of interesting developments this month that didn't work their way into a full blog post. Here is an incomplete list of what I've been tweeting about over the last few weeks. But first I want to draw your attention to the latest manuscri...

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Nonconvexity, and playing indoor paintball

April 6, 2012
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Nonconvexity, and playing indoor paintball

Following the two previous posts (here and there), on the number of people that don't get wet while playing with water pistols, consider now an indoor version, in a non-convex room (i.e. player behind wall are now, somehow, protected). In the previ...

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Dynamite plots in R

April 6, 2012
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Dynamite plots in R

For some time I've contemplated creating a function for creating the dynamite plots beloved by many of the applied sciences. There's a lot of criticism regarding their utility, and there are several ways that present data in a more intelligible way. A search on the subject brings up pages with such emotive titles as "Dynamite plots: unmitigated evil?"...

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How R finds objects (or, what that :: operator is for)

April 4, 2012
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How R finds objects (or, what that :: operator is for)

Most of the time when we're programming in R, we don't think about how R gets from an object name (say, "stdev") to what it represents (a function to calculate standard deviation, perhaps). If you're writing functions, you've probably know about R's lexical scoping. And if you use a lot of packages, you probably know about the search list,...

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Simulated Annealing in Julia

April 4, 2012
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Simulated Annealing in Julia

Building Optimization Functions for Julia In hopes of adding enough statistical functionality to Julia to make it usable for my day-to-day modeling projects, I’ve written a very basic implementation of the simulated annealing (SA) algorithm, which I’ve placed in the same JuliaVsR GitHub repository that I used for the code for my previous post about

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How R Searches and Finds Stuff

April 4, 2012
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How R Searches and Finds Stuff

Or… How to push oneself down the rabbit hole of environments, namespaces, exports, imports, frames, enclosures, parents, and function evaluation? Motivation There are a few reasons to bother reading this post: Rabbit hole avoida...

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Rudd, the last one standing?: Federal implications of QLD state election results

April 4, 2012
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Rudd, the last one standing?: Federal implications of QLD state election results

Labor won 15 of Queensland’s 29 House of Reps seats in the 2007 Federal election (AEC details here). Yet just three years later, in the 2010 Federal election, Labor won only 8 of 30 Queensland Reps seats, with 33.6% of 1st preferences (a swing of -9.3 percentage points). Labor’s best performance on 1st preferences in

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CLIWOC (British, Spanish and Dutch shipping 1750-1855): Getting the data into R

April 3, 2012
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on the Spatial analysis blog a nice visualisation of the major shipping route of the British, Dutch and Spanish fleet in 1750-1850 was presented recently. based on the Climatological Databases for the World's Oceans (CLIWOC). another even nicer visuali...

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Exploring Pollen Data

April 2, 2012
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Exploring Pollen Data

I wrote a few functions to grab data and from the Global Pollen Database: source("~/code/_Pollen/pollendatafuntions.R") ## Loading required package: stratigraph ## Loading required package: grid ## Loading required package: graphics ## Loading required package: stats billys <- getpctAP("billys", plot = TRUE) ## Number of taxa: 105 ## Number of levels: 77 Arboreal Pollen over time at Billy’s...</p><p><a href=Read more »