242 search results for "PCA"

Machine learning for hackers

October 23, 2012
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Machine learning for hackers

Which way do you prefer to learn a new material – deep theoretical background first and practice later or do you like to break things in order to fix them? If latter is your way of learning things, then most likely you will enjoy Machine Learning for Hackers. The book has chapters on machine learning

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Color Palettes in HCL Space

October 12, 2012
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Color Palettes in HCL Space

This is a quick follow-up to my previous post about Color Palettes in RGB Space. Achim Zeileis had commented that, perhaps, it would be more informative to evaluate the color palettes in HCL (polar LUV) space, as that spectrum more accurately describes how humans perceive color. Perhaps more clear trends would emerge in HCL space,

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Long-term precipitation data for your location from the US Historical Climatology Network using R

September 19, 2012
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Long-term precipitation data for your location from the US Historical Climatology Network using R

AbstractLong-term daily precipitation records from the US Historical Climatology Network (USHCN) are processed and summarized using R. Below is R code which examines the data from Livermore, CA, the closest available USHCN station to my present home ...

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DESeq vs edgeR Comparison

September 18, 2012
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DESeq vs edgeR Comparison

Update (Dec 18, 2012): Please see this related post I wrote about differential isoform expression analysis with Cuffdiff 2.DESeq and edgeR are two methods and R packages for analyzing quantitative readouts (in the form of counts) from high-throughput e...

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What’s the smallest amount you can’t make with 5 coins ?

September 16, 2012
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What’s the smallest amount you can’t make with 5 coins ?

My amazing, awesome wife often comes up with the little puzzles for our amazing children, and this one seemed destined to be solved in R. So, using up to 5 coins (1p, 2p, 5p, 10p, 20p and 50p) first she asked our kids whether they could make every val...

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Comparing Stan to JAGS for Bayesian Inference (Part 1?)

September 5, 2012
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Comparing Stan to JAGS for Bayesian Inference (Part 1?)

Stan is a new, open source, Bayesian inference tool. Stan is based on the the No-U-Turn sampler, a variant of Hamiltonian Monte Carlo. In order to compare Stan with JAGS, a gibbs sampler approach to Bayesian inference, I used the classic WinBUGS rats example. The rats example uses a hierarchical model to look at...

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Plotting model fits

August 29, 2012
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Plotting model fits

We all know that it is important to plot your data and explore the data visually to make sure you understand it. The same is true for your model fits. First, you want to make sure that the model is fitting...

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Why R for Mass Spectrometrist and Computational Proteomics

August 25, 2012
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Why R for Mass Spectrometrist and Computational Proteomics

Why R:Actually, It is a common practice the integration of the statistical analysis of the resulted data and in silico predictions of the data generated in your manuscript and your daily research. Mass spectrometrist, biologist and bioinformaticians c...

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2014 Winter Olympics: Home Court Advantage – Russia

August 22, 2012
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2014 Winter Olympics: Home Court Advantage – Russia

"Russia is a riddle wrapped in a mystery inside an enigma."  -- Winston Churchill, radio address in 1939 A couple of weeks ago, Graph of the Week published an article describing the significant improvement in medals won by the host...

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ARMA Models for Trading

August 21, 2012
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ARMA Models for Trading

In this tutorial I am going to share my R&D and trading experience using the well-known from statistics Autoregressive Moving Average Model (ARMA). There is a lot written about these models, however, I strongly recommend Introductory Time Series with R, which I find is a perfect combination between light theoretical background and practical implementations in

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