3750 search results for "gis"

Follow up to Johnson et al Post

October 20, 2013
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Follow up to Johnson et al Post

Last week I posted a comment on a paper by Neil Johnson and colleagues that I now regret. The comment amounted to a bit of statistical pedantry on my part regarding some of the wording in the paper. It was my wording in this post, and specifically the title, which would have benefited from some

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How Do You Write Your Model Definitions?

October 20, 2013
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How Do You Write Your Model Definitions?

I’m often irritated by that when a statistical method is explained, such as linear regression, it is often characterized by how it can be calculated rather than by what model is assumed and fitted. A typical example of this is that linear regression is often described as a method that uses ordinary least squares to calculate the best...

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Which are the best programming languages for a bioinformatician?

October 19, 2013
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This is a basic question when you (as a programmer or biologist or mass spectrometrist) start a career in bioinformatics. What is your favorite programming language in bioinformatics?. This pool will give you a short picture about which languages are m...

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R package for effect size calculations for psychology researchers

October 19, 2013
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Dan Gerlanc writes: I read your post the other day on helping psychologists do research and thought you might be interested in our R package, “bootES”, for robust effect size calculation and confidence interval estimation using resampling techniques. The package provides The post R...

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Subsidies, Revenues, and Expenses of NCAA Division I Public Schools Athletic Departments – Visualizations using rCharts and animint generated interactive ggplots

October 18, 2013
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Two interesting articles in recent issues of The Atlantic linked sports to tax-payer dollars. The first few lines of Gregg Easterbrook’s article, titled How the NFL Fleeces Taxpayers, were: “Taxpayers fund the stadiums, antitrust law doesn't apply to broadcast deals, the league enjoys nonprofit status, and Commissioner Roger Goodell makes $30 million a year. It's...

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Trading Strategies Performance Report with R and Knitr

October 18, 2013
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Trading Strategies Performance Report with R and Knitr

I’ve been looking for template reports using R and Knitr for a while but I didn’t find anything that suits my needs so far. I therefore decided to create them myself. What I like to see about trading strategies are basic performance charts (daily, monthly and yearly), some basic trading statistics and above all most

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Big and small daycares in Toronto by building type, mapped using RGoogleMaps and Toronto Open Data

October 17, 2013
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Big and small daycares in Toronto by building type, mapped using RGoogleMaps and Toronto Open Data

Before my daughter was born, I thought that my wife and I would have to send her to a licensed child care centre somewhere in Toronto.  I had heard over and over how long of a waiting list I should … Continue reading →

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Line Breaks Between Words in Axis Labels in ggplot in R

October 17, 2013
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Line Breaks Between Words in Axis Labels in ggplot in R

Sometimes when plotting factor variables in R, the graphics can look pretty messy thanks to long factor levels. If the level attributes have multiple words, there is an easy fix to this that often makes the axis labels look much cleaner.Without Line Br...

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Latent Gaussian Models and INLA

October 16, 2013
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Latent Gaussian Models and INLA

If you read my post about Fast Bayesian Inference with INLA you might wonder which models are included within the class of latent Gaussian models (LGM), and can therefore be fitted with INLA. Next I will give a general definition about LGM and later I will describe three completely different examples that belong to this

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A Bayesian Model for a Function Increasing by Chi-Squared Jumps (in Stan)

October 16, 2013
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A Bayesian Model for a Function Increasing by Chi-Squared Jumps (in Stan)

(This article was first published on David Chudzicki's Blog, and kindly contributed to R-bloggers) This post will describe a way I came up with of fitting a function that’s constrained to be increasing, using Stan. If you want practical help, standard statistical approaches, or expert research, this isn’t the place for you (look up “isotonic regression” or “Bayesian isotonic...

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