October 2010

Parametric Bootstrap Power Analysis of GISS Temp Data

October 24, 2010 | apeescape

Previosly, I calculated a bunch of ad-hoc power curves from GISTEMP data. Power is essentially a reframing of the p-value, to see the significance of the trend lines in the global temps. However, power calculations are inherently very noisy, hence, my ad-hoc way of aggregating the data. Another method is ... [Read more...]

Accessing R from Python using RPy2

October 24, 2010 | Ryan

This past Tuesday I had the opportunity to present a short talk (a bit long) related to text mining at the Los Angeles R Users’ Group. Since I do most of my text mining in Python, I took this opportunity to discuss RPy2, an interface to R from Python. My ... [Read more...]

Programming with R – Checking Function Arguments

October 24, 2010 | Ralph

In a previous post we considered writing a simple function to calculate the volume of a cylinder by specifying the height and radius of the cylinder. The function did not have any checking of the validity of the function arguments which we will consider in this post. R has various ... [Read more...]

Generate your own Risk Characterization Theatre

October 24, 2010 | Stubborn Mule

In the recent posts Visualizing Smoking Risk and Shades of grey I wrote about the use of “Risk Characterization Theatres” (RCTs) to communicate probabilities. I found the idea in the book The Illusion of Certainty, by Eric Rifkin and Edward Bouwer. Here is how they explain the RCTs: Most of ... [Read more...]

Le Monde puzzle [42]

October 24, 2010 | xi'an

An interesting suduko-like puzzle for this week puzzle in Le Monde thi A 10×10 grid is filled by a random permutation of {0,…,99}. The 4 largest figures in each row are coloured in yellow and the 4 largest values in each column are coloured in red. What is the range of the number of ... [Read more...]

Aquamacs customizations (auctex, ESS)

October 23, 2010 | jackman

I gave an informal talk on my Mac based “workflow” at Stanford on Friday.  I talked a lot about Aquamacs as a tool for editing LaTeX (I use MacTeX) and for working with R (thanks auctex and ess, respectively).  Skim also got a mention; I emphasized TeX-PDF synchronization. Some of ... [Read more...]

Google slides

October 22, 2010 | romain francois

Last stop on my World tour was Google headquarters in Mountain View, California, where Dirk and I presented Rcpp, RInside, RProtoBuf, etc ... for 90 minutes today. The talk was recorded, and will be broadcasted on youtube at some point. In the mean... [Read more...]

Bayesian Diabetes Projections by CDC

October 22, 2010 | Matt Shotwell

Bayesian methods are supporting decisions and news at the national level! The Centers for Disease Control and Prevention summarizes a report published in the journal Population Health Metrics. The news also made it to the national media. The report (JP Boyle, TJ Thompson, EW Gregg, LE Barker, and DF Williamson (2010) “...
[Read more...]

Help! My model fits too well!

October 22, 2010 | Tony

This is sort-of related to my sidelined study of graph algebra. I was thinking about data I could apply a first-order linear difference model to, and the stock market came to mind. After all, despite some black swan sized shocks, what better predicts a day’s closing than the previous ...
[Read more...]

A workflow for R

October 22, 2010 | David Smith

Writing an R script is one thing. Organizing your process: where to put the data, how to refer to files in scripts, how to run the scripts, and how to produce and collect and report the results; that's quite another. Every R user has their own workflow for doing data ... [Read more...]

For a wider use of R

October 22, 2010 | Shige

Two things that are crucial for a wider use of R among applied researchers. The first one is data manipulation/reshaping tool. I think the package "reshape" and "reshape2" have done good job and have largely removed the barrier. The second one is ... [Read more...]

How to avoid annoying a referee

October 22, 2010 | Rob J Hyndman

It’s not a good idea to annoy the referees of your paper. They make recommendations to the editor about your work and it is best to keep them happy. There is an interesting discussion on stats.stackexchange.com on this subject. This inspired my own list below. Explain what ... [Read more...]
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