2955 search results for "ggplot"

Stochastic search variable selection in JAGS

March 22, 2014
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Stochastic search variable selection in JAGS

Stochastic search variable selection (SSVS) identifies promising subsets of multiple regression covariates via Gibbs sampling (George and McCulloch 1993). Here’s a short SSVS demo with JAGS and R. Assume we have a multiple regression problem: We suspect only a subset of the elements of $boldsymbol{beta}$ are non-zero, i.e. some of the covariates have no effect. Assume $boldsymbol{beta}$ arises from...

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Normality and Testing for Normality

March 21, 2014
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Normality and Testing for Normality

How do we test for normality, and are normality tests really sensitive in the tails?

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Frequentist German Tank Problem

March 20, 2014
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Frequentist German Tank Problem

The German Tank Problem: The Frequentist Way Many things are given a serial number and often that serial number, logically, starts at 1 and for each new unit is increased by 1. For example, German tanks in World War II had several parts with serial numbers. By collecting...

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Frequentist German Tank Problem

March 20, 2014
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Frequentist German Tank Problem

The German Tank Problem: The Frequentist Way Many things are given a serial number and often that serial number, logically, starts at 1 and for each new unit is increased by 1. For example, German tanks in World War II had several parts with serial numbers. By collecting...

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Stop using bivariate correlations for variable selection

March 19, 2014
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Stop using bivariate correlations for variable selection

Stop using bivariate correlations for variable selection Something I've never understood is the widespread calculation and reporting of univariate and bivariate statistics in applied work, especially when it comes to model selection. Bivariate statistics are, at best, useless for multi-variate model selection and, at worst, harmful. Since nearly all...

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Stop using bivariate correlations for variable selection

March 19, 2014
By
Stop using bivariate correlations for variable selection

Stop using bivariate correlations for variable selection Something I've never understood is the widespread calculation and reporting of univariate and bivariate statistics in applied work, especially when it comes to model selection. Bivariate statistics are, at best, useless for multi-variate model selection and, at worst, harmful. Since nearly all...

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Guardian data blog — UK general election analysis in R

March 18, 2014
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Guardian data blog — UK general election analysis in R

The Guardian newspaper has for a few years been running a data blog and has built up a massive repository of (often) well-curated datasets on a huge number of topics. They even have an indexed list of all data sets they’ve put … Continue reading →

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MoneyPuck – Best subsets regression of NHL teams

March 17, 2014
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MoneyPuck – Best subsets regression of NHL teams

Spring is at hand and it is a time of renewal, March Madness and to settle scores in the NHL.  There are many scores to be settled: Flyers vs. Penguins, Blackhawks vs. Red Wings, Leafs vs. Habs and pretty much everyone else vs. the Bruins.  L...

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Species occurrence data

March 17, 2014
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Species occurrence data

The rOpenSci projects aims to provide programmatic access to scientific data repositories on the web. A vast majority of the packages in our current suite retrieve some form of biodiversity or taxonomic data. Since several of these datasets have been georeferenced, it provides numerous opportunities for visualizing species distributions, building species distribution maps, and for using it analyses such...

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Above Average: Analyzing Self-Rated Qualities in R

March 16, 2014
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Above Average: Analyzing Self-Rated Qualities in R

Numerous psychological studies have demonstrated that people often have an inflated perception of their personal qualities. From work performance to driving skills, people report being above average in relation to others when it comes to many arenas. This extends to how people perceive their own physical attractiveness and intelligence levels. This begs the important question: Are

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