2328 search results for "git"

sab-R-metrics: Basics of LOESS Regression

May 11, 2011
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sab-R-metrics: Basics of LOESS Regression

Last week, I left you off at logistic regression. This week, I'll be pushing the limits of regression analysis a bit more with a smoothing technique called LOESS regression. There are a number of smoothing methods that can be used, such as Smoothing ...

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sab-R-metrics: Basics of LOESS Regression

May 11, 2011
By
sab-R-metrics: Basics of LOESS Regression

Last week, I left you off at logistic regression. This week, I'll be pushing the limits of regression analysis a bit more with a smoothing technique called LOESS regression. There are a number of smoothing methods that can be used, such as Smoothing ...

Read more »

Multivariate probit regression using (direct) maximum likelihood estimators

May 11, 2011
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Multivariate probit regression using (direct) maximum likelihood estimators

Consider a random pair of binary responses, i.e. with taking values 1 or 2. Assume that probability can be function of some covariates . The Gaussian vector latent structure A standard model is based a latent Gaussian structure, i.e. there exi...

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EC2 Trials and Tribulations, Part 1 (Web Crawling)

May 11, 2011
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EC2 Trials and Tribulations, Part 1 (Web Crawling)

Elastic Compute Cloud (EC2) is a service provided a Amazon Web Services that allows users to leverage computing power without the need to build and maintain servers, or spend money on special hardware. The idea is simple, the user “boots” up one or more machines and then accesses those machines as if they were logged into any other machine...

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An essential vocabulary for the R language

May 11, 2011
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The Oxford English Dictionary includes more than 600,000 words, yet most of us get by in our day-to-day lives with a vocabulary of just a few thousand. In a similar vein, the R language includes thousands of functions: when you start up R 2.13, you have 2832 functions at your disposal: > length(apropos(".", mode="function")) 2382 This includes only...

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Publishing in Veterinary Academic Journals

May 10, 2011
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Publishing in Veterinary Academic Journals

Following the post by Arthur Charpentier (Freakonometrics), I wondered what would be the outcome considering my current engagement (veterinary medicine, epidemiology, bovine mastitis). Briefly, Arthur Charpentier’s post looked at clusters of journals publishing the same kind of papers. So I looked at 25 journals (Journal of Dairy Science, Canadian Journal of Veterinary Medicine, Preventive Veterinary

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Extending mtable() to ivreg, gls and robust standard errors

May 9, 2011
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Extending mtable() to ivreg, gls and robust standard errors

I have written several extensions of the mtable() command in the memisc library that may come in handy. The methods are available in a package I have written called tonymisc (now, available on CRAN). A zipped folder with my package files is available...

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Extending mtable() to ivreg, gls and robust standard errors

May 9, 2011
By
Extending mtable() to ivreg, gls and robust standard errors

I have written several extensions of the mtable() command in the memisc library that may come in handy. The methods are available in a package I have written called tonymisc (now, available on CRAN). A zipped folder with my package files is available...

Read more »

making meat shares more efficient with R and Symphony

May 9, 2011
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making meat shares more efficient with R and Symphony

In my previous post, I motivated a web application that would allow small-scale sustainable meat producers to sell directly to consumers using a meat share approach, using constrained optimization techniques to maximize utility for everyone involved. In this post, I’ll walk through some R code that I wrote to demonstrate the technique on a small

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Corresponding

May 7, 2011
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(The examples here work with the version of insidefunctor tagged as "v2")

Unfortunately I couldn't do this cleanly outside the library. So the changes are made in insidefunctor.

Levels are no longer used to "line up" eaches. So, for example,

> library(insidefunctor)

> `%+.%` = fmap(`+`)

> `%/.%` = fmap(`/`)

> x = c(1,...

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