Monthly Archives: October 2012

R for Ecologists: Permutation Analysis – t-tests

October 24, 2012
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R for Ecologists: Permutation Analysis – t-tests

You’ve carefully designed your experiment, you’ve meticulously collected your data, and you have a hypothesis to test. Unfortunately, your data is typical of ecology data: small sample sizes, messy, and non-normal. Your ideal test, the t-test, won’t work because of the … Continue reading →

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Plotting the debate "Winner"

October 24, 2012
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Plotting the debate "Winner"

As a Political Scientist, it could not be more gauche to talk about the Presidential debate in terms of a winner and a loser, but the occasion provides the opportunity to show how to do (at least) three really useful things: Directly load price and v...

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Displaying Your Data in Google Earth Using R2G2

October 24, 2012
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Displaying Your Data in Google Earth Using R2G2

Have you ever wanted to easily visualize your ecology data in Google Earth? R2G2 is a new package for R, available via R CRAN and formally described in this Molecular Ecology Resources article, which provides a user-friendly bridge between R and the Google Earth interface. Here, we will provide a brief introduction to...

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Stan for Bayesian Analysis

October 23, 2012
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Stan for Bayesian Analysis

Bayesian analysis has been growing in popularity among ecologists recently, largely due to accessible books such as Models for Ecological Data: An Introduction, Introduction to WinBUGS for Ecologists, and Bayesian Methods for Ecology. Most ecologists with limited programming background have … Continue reading →

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RStudio training

October 23, 2012
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RStudio training

At RStudio, we want you to be effective R users. As well as creating great software, we want to make it easier for you to master R. To this end, we’re very happy to announce our new training offerings. We’re kicking off with two public courses: Effective data visualisation and reports and reproducible research in

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Machine learning for hackers

October 23, 2012
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Machine learning for hackers

Which way do you prefer to learn a new material – deep theoretical background first and practice later or do you like to break things in order to fix them? If latter is your way of learning things, then most likely you will enjoy Machine Learning for Hackers. The book has chapters on machine learning

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Two Talks on Data Science, Big Data and R

October 23, 2012
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On Thursday next week (November 1), I'll be giving a new webinar on the topic of Big Data, Data Science and R. Titled "The Rise of Data Science in the Age of Big Data Analytics: Why Data Distillation and Machine Learning Aren’t Enough", this is a provocative look at why data scientists cannot be replaced by technology, and why...

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Multiple levelplots with title and subtitle in R

October 23, 2012
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Multiple levelplots with title and subtitle in R

I had quite a fight with R to put multiple levelplots with a shared title and subtite on the same chart, so I thought I put a PoC code here: library(lattice)m col.l plot.new()par(mfrow=c(2,2), oma=c(2,0,2,0))print(levelplot(m, col.regions=col.l, main="L1"), split=c(1, 1, 2, 2)) print(levelplot(m, col.regions=col.l, main="L2"), split=c(1, 2, 2, 2), newpage=FALSE)print(levelplot(m, col.regions=col.l, main="L3"), split=c(2, 1, 2, 2), newpage=FALSE)print(levelplot(m, col.regions=col.l, main="L4"), split=c(2,...

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Bayes for President!

October 23, 2012
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Bayes for President!

I couldn't resist getting sucked into the hype associated with the US election and debates, and so I thought I had a little fun of my own and played around a bit with the numbers. [OK: you may disagree with the definition of "fun" $-$ but then again, i...

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analyze the general social survey (gss) with r

October 23, 2012
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the general social survey (gss) has served as america's mood ring since 1972.  data-driven social scientists can compare political beliefs by demography, look at attitude trends, make emile durkheim and max weber (pronounced durk-veber) proud.&nbs...

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