2433 search results for "gis"

Who will be the next President of the US ?

May 5, 2011
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Who will be the next President of the US ?

A lot of weird facts (?) can be found on the internet. For instance, about the height of the winner of Presidential elections in the US: the taller always win... "Still, being short does, on average, hurt a person's prospects...The tall guy gets th...

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Whassup with glm()?

May 4, 2011
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We're having problem with starting values in glm(). A very simple logistic regression with just an intercept with a very simple starting value (beta=5) blows up....

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bigkmeans also works well for ordinary matrix objects: The biganalytics package

May 4, 2011
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bigkmeans also works well for ordinary matrix objects: The biganalytics package

The bigmemory is an excellent package for handling big matrix in R. There are several sister packages provided by "The Bigmemory Project": biganalytics for analysis, bigtabulate for tabulation, bigalgebra for linear algebra functionality, synchronicity...

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bigkmeans also works well for ordinary matrix objects: The biganalytics package

May 4, 2011
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bigkmeans also works well for ordinary matrix objects: The biganalytics package

The bigmemory is an excellent package for handling big matrix in R. There are several sister packages provided by "The Bigmemory Project": biganalytics for analysis, bigtabulate for tabulation, bigalgebra for linear algebra functionality, synchronicity for synchronization via mutexes and interprocess communication and message passing.biganalytics provides a few functions for analysis: linear regression model, generalized linear regression model, and...

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Putting Robust Standard Errors into LaTeX Tables: An Extension of mtable

May 3, 2011
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Putting Robust Standard Errors into LaTeX Tables: An Extension of mtable

I recently discovered the mtable() command in the memisc library and its use with toLatex() to produce nice summary output for lm and glm objects in a nicely formatted table like this:Once you have your linear model objects, all you need is one command...

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Putting Robust Standard Errors into LaTeX Tables: An Extension of mtable

May 3, 2011
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Putting Robust Standard Errors into LaTeX Tables: An Extension of mtable

I recently discovered the mtable() command in the memisc library and its use with toLatex() to produce nice summary output for lm and glm objects in a nicely formatted table like this:Once you have your linear model objects, all you need is one command...

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Treebase trees from R

May 3, 2011
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Treebase trees from R

Treebase is a great resource for phylogenetic trees, and has a nice interface for searching for certain types of trees. However, if you want to simply download a lot of trees for analyses (like that in Davies et al.), then you want to be able to access...

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Kaggle Competition Walkthrough: Introduction

May 3, 2011
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Kaggle Competition Walkthrough: Introduction

Kaggle is a site for participating in predictive analytics competitions. It is also a great resource for learning how to build powerful predictive models, and the Overfitting competition provides a good introduction to the common tools used by a predic...

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Ecological SEMs and Composite Variables: What, Why, and How

May 2, 2011
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Ecological SEMs and Composite Variables: What, Why, and How

I’m a HUGE fan of Structural Equation Modeling. Heck, I’ve even begun teaching short SEM workshops. (seriously, if you want, email me and we’ll talk). For those of you unfamiliar with the technique, it’s awesome for three main reasons. It’s a method of teasing apart direct and indirect interactions in your data. It allows you

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Parallelizing and cross-validating feature selection in R

April 29, 2011
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Parallelizing and cross-validating feature selection in R

This is an example piece of code for the Overfitting competition at kaggle.com. This method has an AUC score of ~.91, which is currently good enough for about 38th place on the leaderboard. If you read the completion forums closely, you will find code...

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