Tweeps
- Blore's Razor: Given a choice between two theories, take the one which is funnier. 1 day ago
- boy, n: A noise with dirt on it. 1 day ago
- 7 Things You Didn’t Know About Groundhogs http://t.co/lgMwEtbM 3 days ago
- drug, n: A substance that, injected into a rat, produces a scientific paper. 3 days ago
- Space Cats: http://t.co/tVV4nBhu 3 days ago
- 5th Grader Accidentally Makes Explosive in Class, Gets Co-Authorship on Subsequent Paper http://t.co/XUy4EeuR 4 days ago
- Barker's Proof: Proofreading is more effective after publication. 4 days ago
- Open peer review of our arseniclife submission please http://t.co/aNeZLdhD 4 days ago
- Miss Anne Elk's theory on the Brontosauruses: http://t.co/m4YPcEyh 5 days ago
- RT @Education_UofA 6 Ways Teachers can be Hip http://t.co/BVWafI7H 5 days ago
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Recent comments
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Top Posts
- Starting an Open Notebook Science project
- Causal basis of the ice cream-shark correlation fallacy
- The Joy of Sweave - A Beginner's Guide to Reproducible Research with Sweave
- Time to order your Darwin Day gear!
- Vanilla C code for the Stochastic Simulation Algorithm
- Imminent announcement from NSF on the National Institute for Mathematical and Biological Synthesis (NIMBioS)
- Unconventional laptop cooling
- How many espressos would it take to kill you?
- SciFoo 2008 tag cloud
- Choosing the tools of Open Notebook Science
- F1000 Biology review: The unpredictability of ecological tipping points
- Are cows an endangered species?
February 2012 M T W T F S S « Dec 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 Category Cloud
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MPK’s research notebook- Reaction norms for larval viability in Drosophila pseudoobscura November 7, 2011
- Results November 7, 2011
- LRG lab meeting (November 7, 2011) November 7, 2011
- Genotype-by-environment interaction figure November 7, 2011
- Model November 7, 2011
- Woltereck November 7, 2011
- Introduction November 7, 2011
- Questions needing answers November 7, 2011
- Daphnia November 7, 2011
- About November 7, 2011
My CiteULike- Density Dependence Slows Invader Spread in Fragmented Landscapes Jonathan Levine
- Names are key to the big new biology
- Community ecology: stasis, evolution or revolution?
- Assessing rapid evolution in a changing environment
- Adaptation genomics: the next generation
- A Bacterium That Can Grow by Using Arsenic Instead of Phosphorus
- Low-altitude airbursts and the impact threat D Crawford
- Aging in a Long-Lived Clonal Tree Sarah Otto
- Using Environmental Correlations to Identify Loci Underlying Local Adaptation Jonathan Pritchard
- Mathematics Is Biology's Next Microscope, Only Better; Biology Is Mathematics' Next Physics, Only Better Joel Cohen
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Category Archives: R
To Sweave, or not to Sweave, that is the question
I am about to start writing up the manuscript of my recent biomath seminar (Act 3: Pineda-Krch. 2011. Cycles at the edge of existence: Emergence of quasi-cycles in strongly destabilized ecosystems.). While the slides for the talk were put together using … Continue reading
Posted in manuscript, R, Sweave, writing
9 Comments
The Joy of R: A Feline Guide
Just because it’s caturday Images by Mario Pineda-Krch (CC BY-NC-SA 3.0) This is from the “Mario’s Entangled Bank” blog ( http://pineda-krch.com ) of Mario Pineda-Krch, a theoretical biologist at the University of Alberta.
Cycles in finite populations: A reproducible seminar in three acts
For this years Halloween I presented the mathematical biology seminar at the Centre for Mathematical Biology. Here is the title and the abstract… Cycles in finite populations: a reproducible seminar in three acts Many natural populations exhibit cyclic fluctuations. Explaining the underlying … Continue reading
Posted in LaTeX, Open Notebook science, open science, predator-prey model, presentation, programing, R, Sweave
11 Comments
Vanilla C code for the Stochastic Simulation Algorithm
The Gillespie stochastic simulation algorithm (SSA) is the gold standard for simulating state-based stochastic models. If you are a R buff, a SSA novice and want to get quickly up and running stochastic models (in particular ecological models) that are not … Continue reading
What is R, really?
On CRAN, the official web home of all things R it says, R is a free software environment for statistical computing and graphics. Well, that sounds all hunky dory. But let’s take a close look at what this statement really … Continue reading
Posted in computing, open science, R
7 Comments
The Joy of Sweave – A Beginner’s Guide to Reproducible Research with Sweave
Just wrapped up the slides for the first version of the The Joy of Sweave – A Beginner’s Guide to Reproducible Research with Sweave which I presented today in our lab. I am making the slides available under a Creative Commons … Continue reading
Posted in presentation, R, Sweave
4 Comments
Top 10 things that suck about Sweave
People rave about Sweave and the literate programing paradigm and I am guilty as charged. I speak Sweave, I think Sweave, I dream Sweave. As a matter of fact my default mode of operation is Sweave and anything else is an … Continue reading
Posted in humour, R, Sweave
24 Comments
Computational efficiency of great-circle distance calculations in R
An obvious omission in my previous post on Great-circle distance calculations in R was a lack of discussion on the computational efficiency of the various methods, and in particular comparing different implementations of the same method. One of the comments … Continue reading
Posted in cookbook, R
4 Comments
Great-circle distance calculations in R
Recently I found myself needing to calculate the distance between a large number of longitude and latitude locations. As it turns out, because the earth is a three-dimensional object, you cannot simply pretend that you are in Flatland, albeit some … Continue reading
Posted in cookbook, R
9 Comments
Making R growl
Spending the day churning through large data set or doing some heavy-duty number crunching? What is one to do while the computer is running in overdrive? We’ll, for one, you could get a steaming cup of joe and write a … Continue reading
Posted in cookbook, R
6 Comments
GillespieSSA 0.5-4 is released
I just uploaded GillespieSSA 0.5-4 to CRAN. It should be just a matter of days before it has propagated itself across all mirrors. This release consists of minor revisions with no (intended) changes in functionality. The main change (and it is … Continue reading
Posted in computer simulations, GillespieSSA, Git, Linus Torvalds, R
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High-performance computing in R at useR! 2008
The useR! 2008 meeting is about to commence. Although I am not able to go this year I will be keeping a close eye on the talks and slides that (I assume) will be posted. Last years useR! meeting (which … Continue reading
Posted in computer cluster, computer simulations, computing, R, useR!
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Paper on GillespieSSA now published
My paper on the GillespieSSA package has now been published in the latest volume of Journal of Statistical Software. Check it out.
Paper on the Gillespie Stochastic Simulation Algorithm in press
Just got news that my revisions to the reviewer’s comments on my paper GillespieSSA: Implementing the Gillespie Stochastic Simulation Algorithm in R were accepted. Hence, this paper is not officially in press in the Journal of Statistical Software. Here’s the … Continue reading
Posted in computer simulations, Gillespie algorithm, GillespieSSA, R
5 Comments
GillespieSSA 0.5-1 is released
I just uploaded GillespieSSA 0.5-1 to CRAN. Now it’s just a matter of days before it has propagated itself across all CRAN mirrors. This version consists primarily of revisions I made in response to the reviewer comments on the paper … Continue reading
Posted in computer simulations, GillespieSSA, programing, R
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GillespieSSA 0.3-1 released
I recently rolled up the new version of the GillespieSSA package, version 0.3-1. The tar ball of the new version is posted on its web page (here). I also submitted it to CRAN so in (due time) it should appear … Continue reading
Posted in computer simulations, GillespieSSA, R
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Special Volume of JSS on Ecology and Ecological Modelling in R
The latest issue Journal of Statistical Software is a special volume on Ecology and Ecological Modelling in R. This has been in the woodwork for quite some time now and it is nice to finally to see this out “in … Continue reading
Posted in ecology, programing, R
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GillespieSSA on CRAN
So it’s official – my R package GillespieSSA has been posted to the official list of packages on CRAN (The Comprehensive R Archive Network). Check it out. Now back to my manuscript. Over the last few days I have been … Continue reading
Posted in Gillespie algorithm, GillespieSSA, manuscript, R
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GillespieSSA 0.2-0 is released
Just finished the new version of the GillespieSSA package. The tar ball of the new version is posted on its web page (here). I also submitted it to CRAN so in (due time) it should appear on the official R … Continue reading
Posted in Gillespie algorithm, GillespieSSA, R
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119 days of number crunching…
Just checked on the 70000+ simulations I submitted to the Cow last night. The purpose of these runs is to explore a given system (the logistic growth model in this case) using different implementations of the stochastic simulation algorithm (aka … Continue reading
Cow chewing on GillespieSSA
Sorry blog for the long silence. Lately I have been juggling several time critical projects and there hardly seems to be time for such mundane activities such as sleeping, eating, never mind shaving (someone pointed out that I am starting … Continue reading
Posted in computer simulations, computing, GillespieSSA, R
1 Comment
GillespieSSA 0.1-0 is released
I just submitted the first release of the GillespieSSA package to CRAN. After much debating I finally decided to adhere to the unwritten R version numbering policy of starting really really low (and asymptotically approaching 1.0-0) . Thus, the first … Continue reading
Posted in GillespieSSA, R
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Open Source/Science – drilling down to unknown depths in unexpected places
Yet another point John Chambers addressed in his key note speech (see previous post Programing as a higher craft) was the virtue of Open Source software. According to John there are two principles for programing (with R) Enable effective and … Continue reading
Posted in meeting, open science, R, useR 2007, useR!
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Programing as a higher craft
In his keynote speech at the useR! meeting John Chambers of Statistics research at Bell Labs (one of the founders of the S System, which subsequently gave rise to the R project) asked the question what is programing? As it … Continue reading


