Monthly Archives: July 2012

To the Basics: Bayesian Inference on A Binomial Proportion

July 4, 2012
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To the Basics: Bayesian Inference on A Binomial Proportion

Think of something observable – countable – that you care about with only one outcome or another. It could be the votes cast in a two-way election in your town, or the free throw shots the center on your favorite...

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Example of Factor Attribution

July 3, 2012
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Example of Factor Attribution

In the prior post, Factor Attribution 2, I have shown how Factor Attribution can be applied to decompose fund’s returns in to Market, Capitalization, and Value factors, the “three-factor model” of Fama and French. Today, I want to show you a different application of Factor Attribution. First, let’s run Factor Attribution on each the stocks

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RcppBDT 0.2.0

A new release of the RcppBDT package appeared on CRAN earlier today. RcppBDT uses Rcpp, and in particular the nifty Rcpp modules feature of wrapping C++ code for R just by declaring the (class or function) interfaces. It uses this to bring in some useful functions from Boost Date.Time to R so that one can do things like R> library(RcppBDT) R> sapply(2012:2016, function(year) +...

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The role of Statistics in the Higgs Boson discovery

July 3, 2012
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The role of Statistics in the Higgs Boson discovery

News is starting to leak that the Large Hadron Collider may have accomplished its primary mission of confirming the existence of the hypothesised and heretofore elusive subatomic particle, the Higgs Boson. And sure, billions of Euros worth of state-of-the-art high-energy machinery and an army of experimental and theoretical physicists probably had something to do with the discovery. But did...

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An Improvement to Coefficient Plots

July 3, 2012
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I recently posted about coefficient plots, discussing my approach and providing some example R code to create the graphs. I had the good fortune of hearing Amanda Driscoll give a talk recently, and she made a small, but really nice … Continue rea...

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Combining ggplot Images

July 3, 2012
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Combining ggplot Images

The ggplot2 package provides an excellent platform for data visualization. One (minor) drawback of this package is that combining ggplot images into one plot, like the par() function does for regular plots, is not a straightforward procedure. Fortunately, R user Stephen Turner has kindly provided a function called “arrange” that does exactly this. The function,

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Blog with Knitr and Jekyll

July 3, 2012
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Blog with Knitr and Jekyll

The knitr package provides an easy way to embed R code in a Jekyll-Bootstrap blog post. The only required input is an R Markdown source file. The name of the source file used to generate this post is 2012-07-03-knitr-jekyll.Rmd, available here. Steps taken to build this post are as follows: Step 1 Create a Jekyll-Boostrap blog if...

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Applying a function successively in R

July 3, 2012
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Applying a function successively in R

At the R in Finance conference Paul Teetor gave a fantastic talk about Fast(er) R Code. Paul mentioned the common higher-order function Reduce, which I hadn't used before. Reduce allows me to apply a function successively over a vector. What does that...

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RcppArmadillo 0.3.2.3

Conrad releaser version 3.2.3 of Armadillo a few days ago, and the corresponding RcppArmadillo package 0.3.2.3 is now CRAN. (For these keeping score 3.2.1 never was a full release, and 3.2.2 containing fixes for a build issue that did not affect the ...

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A big list of the things R can do

July 2, 2012
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R is an incredibly comprehensive statistics package. Even if you just look at the standard R distribution (the base and recommended packages), R can do pretty much everything you need for data manipulation, visualization, and statistical analysis. And for everything else, there's more than 5000 packages on CRAN and other repositories, and the big-data capabilities of Revolution R Enterprise....

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