2784 search results for "ggplot"

The Sound Of Mandelbrot Set

February 11, 2014
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The Sound Of Mandelbrot Set

Music is the pleasure the human soul experiences from counting without being aware that it is counting (Gottfried Leibniz) I like the concept of sonification: translating data into sounds. There is a huge amount of contents in the Internet about this technique and there are several packages in R to help you to sonificate your

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Unprincipled Component Analysis

February 10, 2014
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Unprincipled Component Analysis

As a data scientist I have seen variations of principal component analysis and factor analysis so often blindly misapplied and abused that I have come to think of the technique as unprincipled component analysis. PCA is a good technique often used to reduce sensitivity to overfitting. But this stated design intent leads many to (falsely) Related posts:

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Spatial autocorrelation of errors in JAGS

February 10, 2014
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Spatial autocorrelation of errors in JAGS

In the core of kriging, Generalized-Least Squares (GLS) and geostatistics lies the multivariate normal (MVN) distribution – a generalization of normal distribution to two or more dimensions, with the option of having non-independent variances (i.e. autocorrelation). In this post I will show: (i) how to use exponential decay and the … Continue reading →

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Cleaning Data and Graphing in R and Python

February 10, 2014
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Cleaning Data and Graphing in R and Python

Python has some pretty awesome data-manipulation and graphing capabilities. If you’re a heavy R-user who dabbles in Python like me, you might wonder what the equivalent commands are in Python for dataframe manipulation. Additionally, I was curious to see how … Continue reading →

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Sochi Olympic Medals

February 9, 2014
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Sochi Olympic Medals

For those who are addicted to R and haven’t the time to click the mouse on a web browser you too can still be informed about the results of the 2014 Sochi Winter Olympics. I was inspired by a SO … Continue reading →

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UofT R session went well. Thanks RStudio Server!

February 9, 2014
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UofT R session went well.  Thanks RStudio Server!

Apart from going longer than I had anticipated, very little of any significance went wrong during my R session at UofT on friday!  It took a while at the beginning for everyone to get set up.  Everyone was connecting to … Continue reading →

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Bayesian analysis of sensory profiling data, part 2

February 9, 2014
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Bayesian analysis of sensory profiling data, part 2

Last week I made the core of a Bayesian model for sensory profiling data. This week the extras need to be added. That is, there are a bunch of extra interactions and the error is dependent on panelists and descriptors.Note that where last week I pointe...

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Better living through zero-one inflated beta regression

February 6, 2014
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Better living through zero-one inflated beta regression

Dealing with proportion data on the interval $$ is tricky. I realized this while trying to explain variation in vegetation cover. Unfortunately this is a true proportion, and can’t be made into a binary response. Further, true 0’s and 1’s rule out beta regression. You could arcsine square root transform the data (but shouldn’t; Warton and Hui 2011)....

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R and the Weather

February 6, 2014
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R and the Weather

by Joseph Rickert The weather is on everybody's mind these days: too much ice and snow east of the Rockies and no rain to speak fo in California. Ram Narasimhan has made it a little easier for R users to keep track of what's going on and also get a historical perspective. His new R package weatherData makes it...

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Better living through zero-one inflated beta regression

February 6, 2014
By
Better living through zero-one inflated beta regression

Dealing with proportion data on the interval $$ is tricky. I realized this while trying to explain variation in vegetation cover. Unfortunately this is a true proportion, and can’t be made into a binary response. Further, true 0’s and 1’s rule out beta regression. You could arcsine square root transform the data (but shouldn’t; Warton and Hui 2011)....

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