3014 search results for "ggplot"

Process and observation uncertainty explained with R

March 31, 2014
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Process and observation uncertainty explained with R

Once up on a time I had grand ambitions of writing blog posts outlining all of the examples in the Ecological Detective.1 A few years ago I participated in a graduate seminar series where we went through many of the examples in this book. I am not a population biologist by trade but many of

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Moustache target distribution and Wes Anderson

March 31, 2014
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Moustache target distribution and Wes Anderson

Today I am going to introduce the moustache target distribution (moustarget distribution for brievety). Load some packages first. Let’s invoke the moustarget distribution. This defines a target distribution represented by a SVG file using RShapeTarget. The target probability density function is defined on and is proportional to on the segments described in the SVG files,

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R Training for SAS users in Singapore and online

March 28, 2014
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Revolution Analytics has just introduced a 10-module series of R courses in Singapore. If you'd like to learn how to do data analysis in R, already know data analysis in another language like SAS and want to transition to R, or just want to enhance your R skills in a specific area, one of these hands-on courses may be...

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Blurry Fractals

March 27, 2014
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Blurry Fractals

Beauty is the first test; there is no permanent place in the world for ugly mathematics (G. H. Hardy) Newton basin fractals are the result of iterating Newton’s method to find roots of a polynomial over the complex plane. It maybe sound a bit complicated but is actually quite simple to understand. Those who would

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Give your R charts that Wes Anderson style

March 26, 2014
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Give your R charts that Wes Anderson style

I'm a big fan of Wes Anderson's movies. I love the quirky characters and stories, the distinctive cinematography, and the unique visual style. Now you can bring some of that style to your own R charts, by making use of these Wes Anderson inspired palettes. Just choose your favourite Wes Anderson film or short: Install the wesanderson pallettes package,...

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Accessing iNaturalist data

March 26, 2014
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Accessing iNaturalist data

The iNaturalist project is a really cool way to both engage people in citizen science and collect species occurrence data. The premise is pretty simple, users download an app for their smartphone, and then can easily geo reference any specimen they see, uploading it to the iNaturalist website. It let's users turn casual observations into meaningful...

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Using R: quickly calculating summary statistics from a data frame

March 25, 2014
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Using R: quickly calculating summary statistics from a data frame

A colleague asked: I have a lot of data in a table and I’d like to pull out some summary statistics for different subgroups. Can R do this for me quickly? Yes, there are several pretty convenient ways. I wrote about this in the recent post on the barplot, but as this is an important

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Random Love

March 23, 2014
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Random Love

Anyone who considers arithmetical methods of producing random digits is, of course, in a state of sin (John von Newman) Ms. Positive and Mr. Negative live in a one-dimensional world and are falling in love. But beginnings are not always easy. They have a big problem: none of them like the other’s neighborhood. Ms. Positive

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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 $\boldsymbol{\beta}$...

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Stochastic search variable selection in JAGS

March 22, 2014
By
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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