2641 search results for "map"

Ce que je sais sur les séries temporelles (1/5)

September 9, 2013
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Ce que je sais sur les séries temporelles (1/5)

Ce que je sais sur les séries temporelles (1/5) En lisant la préface de Flore Vasseur à l'essai “le monde en 2030 vu par la CIA”, j'ai été très frappé par mon manque de culture macroéconomique. En effet, un essaiqui parle de...

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Maximum Likelihood Estimation and the Origin of Life

September 8, 2013
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Maximum Likelihood Estimation and the Origin of Life

# Maximum likelihood Estimation (MLE) is a powerful tool in econometrics which allows for the consistent and asymptotically efficient estimation of parameters given a correct identification (in terms of distribution) of the random variable. # It i...

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The Problem with Percentiles

September 8, 2013
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The Problem with Percentiles

The Problem with Percentiles Percentiles (or, more accurately, quantiles) are deeply embedded in the psyche of actuaries, statisticians and similar beasts. They are referred to implicitly in the Solvency 2 directive (Article 100, Value at Risk) without explanation. They are so ingrained...

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R User Groups Update

September 5, 2013
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R User Groups Update

by Joseph Rickert R user groups continue to thrive worldwide. The map below plots the locations of the 127 R user groups listed in the directory we maintain at Revolution Analytics. i It includes 7 new groups that sprang up since we last highlighted user groups in July: Budapest, Hungary Burlington, Vermont Cairo, Egypt Gainesville, Florida Hong Kong, China...

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Text Mining the Complete Works of William Shakespeare

September 5, 2013
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Text Mining the Complete Works of William Shakespeare

I am starting a new project that will require some serious text mining. So, in the interests of bringing myself up to speed on the tm package, I thought I would apply it to the Complete Works of William Shakespeare and just see what falls out. The first order of business was getting my hands

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How to build a single-node Hadoop/R system

September 3, 2013
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The best way to learn any software is to use it, and if you're new to Hadoop and want to try using Hadoop with R the process of setting up your own Hadoop cluster can be daunting (to say the least). But if learning is the goal, the key is that you don't need to install a full cluster....

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Fun With Just-In-Time Compiling: Julia, Python, R and pqR

September 2, 2013
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Fun With Just-In-Time Compiling: Julia, Python, R and pqR

Recently I’ve been spending a lot of time trying to learn Julia by doing the problems at Project Euler. What’s great about these problems is that it gets me out of my normal design patterns, since I don’t generally think about prime numbers, factorials and other number theory problems during my normal workday. These problems Fun With Just-In-Time...

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Latent Variable Analysis with R: Getting Setup with lavaan

September 1, 2013
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Latent Variable Analysis with R: Getting Setup with lavaan

Getting Started with Structural Equation Modeling Part 1Getting Started with Structural Equation Modeling: Part 1 Introduction For the analyst familiar with linear regression fitting structural equation models can at first feel strange. In the R environment, fitting structural equation models involves learning new modeling syntax, new plotting...

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Fair weather fans, redux

September 1, 2013
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Fair weather fans, redux

Fair weather fans, redux Or, A little larger small sample On August 11 the Victoria HarbourCats closed out their 2013 West Coast League season with a 4-3 win over the Bellingham Bells. In an earlier...

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MLB Rankings Using the Bradley-Terry Model

August 31, 2013
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MLB Rankings Using the Bradley-Terry Model

Today, I take my first shots at ranking Major League Baseball (MLB) teams. I see my efforts at prediction and ranking an ongoing process so that my models improve, the data I incorporate are more meaningful, and ultimately my predictions are largely accurate. For the first attempt, let’s rank MLB teams using the Bradley-Terry (BT) model. Before we discuss the rankings, we need...

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