2973 search results for "gis"

Veterinary Epidemiologic Research: Count and Rate Data – Poisson & Negative Binomial Regressions

April 22, 2013
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Veterinary Epidemiologic Research: Count and Rate Data – Poisson & Negative Binomial Regressions

Still going through the book Veterinary Epidemiologic Research and today it’s chapter 18, modelling count and rate data. I’ll have a look at Poisson and negative binomial regressions in R. We use count regression when the outcome we are measuring is a count of number of times an event occurs in an individual or group

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R et Twitter

April 22, 2013
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R et Twitter

(This article was first published on Learning Data Science , and kindly contributed to R-bloggers) On va dans ce post, illustrer une utilisation simple des packages twitteR, StreamR, tm qui permettent faire du textmining. En réalité, les deux premiers permettent de récuperer les tweets et de faire des comptages simples et complexes et le dernier permet de faire du...

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2D plot with histograms for each dimension (2013 edition)

April 22, 2013
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2D plot with histograms for each dimension (2013 edition)

In 2009, I wrote about a way to show density plots along both dimensions of a plot. When I ran the code again to adapt it to a new project, it didn't work because ggplot2 has become better in the meantime. Below is the updated code. Using the gridExtra...

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Using data.table for binning

Using data.table for binning

I discovered the impressive data.table package more than a year ago. In order to learn how to use it, I …Continuar leyendo »

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Programmatically Download CORINE Land Cover Seamless Vector Data with R

April 21, 2013
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Programmatically Download CORINE Land Cover Seamless Vector Data with R

Thanks to a helpful SO-Answer I was able to download all CLC vector data (43 zip-files) programmatically:require(XML)path_to_files dir.create(path_to_files)setwd(path_to_files)doc urls # function to get zip file namesget_zip_name # function to plug into sapplydl_urls # download all zip-filessapply(urls, dl_urls)# function for unzippingtry_unzip # unzip all files in dir and delete them afterwardssapply(list.files(pattern = "*.zip"),...

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What Is the Probability of a 16 Seed Beating a 1 Seed?

April 21, 2013
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What Is the Probability of a 16 Seed Beating a 1 Seed?

Note: I started this post way back when the NCAA men's basketball tournament was going on, but didn't finish it until now. Since the NCAA Men's Basketball Tournament has moved to 64 teams, a 16 seed as never upset a 1 seed. You might be tempted to say ...

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What Is the Probability of a 16 Seed Beating a 1 Seed?

April 20, 2013
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What Is the Probability of a 16 Seed Beating a 1 Seed?

Note: I started this post way back when the NCAA men's basketball tournament was going on, but didn't finish it until now. Since the NCAA Men's Basketball Tournament has moved to 64 teams, a 16 seed as never upset a 1 seed. You might be tempted to say...

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R: Streets of France

April 19, 2013
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R: Streets of France

I was Inspired from Ben Frys all Streets project. There he plotted all streets of the United States of America (about 240 million segments). I tried this first for the countries in Europe, France has about 22 million segments, with the goal to get an all street map of Europe. My data source originate from the OpenStreetMap project and was...

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Using multilevel models to get accurate inferences for repeated measures ANOVA designs

April 18, 2013
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Using multilevel models to get accurate inferences for repeated measures ANOVA designs

It is now increasingly common for experimental psychologists (among others) to use multilevel models (also known as linear mixed models) to analyze data that used to be shoe-horned into a repeated measures ANOVA design. Chapter 18 of Serious Stats introduces multilevel models by considering them as an extension of repeated measures ANOVA models that can

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Using multilevel models to get accurate inferences for repeated measures ANOVA designs

April 18, 2013
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Using multilevel models to get accurate inferences for repeated measures ANOVA designs

It is now increasingly common for experimental psychologists (among others) to use multilevel models (also known as linear mixed models) to analyze data that used to be shoe-horned into a repeated measures ANOVA design. Chapter 18 of Serious Stats introduces multilevel models by considering them as an extension of repeated measures ANOVA models that can

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