# 1502 search results for "tutorial"

## 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

## In case you missed it: September 2013 Roundup

October 11, 2013
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In case you missed them, here are some articles from September of particular interest to R users: Todd Schneider wrote an algorithm in R to find the "most concave" US state (it's NY), and created an animation to show how it works. Rob Hyndman (of the "forecast" package) describes how R-based forecasting saved the Australian government millions, in a...

## Custom Legend in R

October 10, 2013
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This particular custom legend was designed with three purposes: To effectively bin values based on a theoretical minimum and maximum value for that variable (e.g. -1 and 1 or 0 and 100) To use a different interval notation than the default To handle NA values Even though this particular legend was designed with those needs, it should be simple to extrapolate from...

## analyze the panel study of income dynamics (psid) with r

October 7, 2013
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the panel study of income dynamics (psid) is a one-trick pony.  better than anything else out there, this survey allows you to answer the question, "where are they now?"  after tracking the same nationally-representative cohort of americans (...

## Simplicity Explained by The Author

October 4, 2013
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Source is usually best explained by the source.  Ramnath Vaidyanathan provides an excellent look under the hood in his tutorial on rCharts explaining how he integrates the new d3 library uvCharts. If you want to explore further, here is a list of...

## Post 0: Getting Started with R

October 4, 2013
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R is an interpreted programming language that makes it easy to think about statistics instead of thinking about programming. Unlike other programming languages, R is commonly used by typing commands one-at-a-time in an interactive session. RStudio is a program that … Continue reading →

## Questions on my online forecasting course

October 3, 2013
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I’ve been getting emails asking questions about my upcoming course on Forecasting using R. Here are some answers. Do I need to use the Revolution Enterprise version of R, or can I use open-source R? Open source R is fine. Revolution Analytics is organizing the course, but there is no requirement to use their software. I will be using...

## Classification with O-PLS-DA

September 29, 2013
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Partial least squares (PLS) is a versatile algorithm which can be used to predict either continuous or discrete/categorical variables. Classification with PLS is termed PLS-DA, where the DA stands for discriminant analysis.  The PLS-DA algorithm has many favorable properties for dealing with multivariate data; one of the most important of which is how variable collinearity is

## Introducing imagemetrics

September 25, 2013
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References In my recent projects, I had the opportunity to work with the professor Raphaël Proulx who introduced me to several metrics commonly used in landscape ecology for quantifying image texture. In order to make my life easier, I decided to implement...