October 2013

Analysis of #ASHG2013 Tweets

October 28, 2013 | Stephen Turner

I archived and anlayzed all Tweets with the hashtag #ASHG2013 using my previously mentioned code.Number of Tweets by date shows Wednesday was the most Tweeted day:The top used hashtags other than #ASHG2013:The most prolific users:And what Twitter analy... [Read more...]

Alternative to Grouped Bar Charts in R

October 27, 2013 | hrbrmstr

The #spiffy @dseverski gave me this posit the other day: Hey, @hrbrmstr, doughnut chart aside, how would you approach the first graph at http://t.co/zjHoHRVOeo? Bump chart? Trend line? Leave as is?— David F. Severski (@dseverski) October 25, 2013 and, I...
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Symmetry in Williams designs

October 27, 2013 | Wingfeet

Based on some comments I am looking at using symmetry to obtain Williams style designs. Symmetry allows reduction of the number of combinations examined hence faster calculation times. Two avenues are examined. Both work for a low number of treatments.... [Read more...]

Practical Data Science with R October 2013 update

October 26, 2013 | John Mount

A quick status update on our upcoming book “Practical Data Science with R” by Nina Zumel and John Mount. We are really happy with how the book is coming out. We were able to cover most everything we hoped to. Part 1 (especially chapter 3) is already being used in courses, and ... [Read more...]

How to switch from spreadsheets to R for data analysis

October 25, 2013 | David Smith

To take a spreadsheet beyond what it's designed for — data presentation, summarization and simple calculations — into the world of complex data analysis can be an alluring prospect. But it can also be dangerous: consider these examples of spreadsheet errors that led to monumental financial losses, mistaken government policies, and even ... [Read more...]

Post 9: Tuning the complete sampler

October 25, 2013 | Nathan VanHoudnos

This post demonstrates how to tune the sampler for optimal acceptance probabilities and demonstrates that the whole sampler works. Tuning the complete sampler for acceptance rate Tuning the sampler's acceptance rates consists of running the sampler several times while tweaking … Continue reading → [Read more...]

Equity Market Risk Premium Around the World

October 25, 2013 | klr

Over the years I have really enjoyed this very thorough IESE Business School survey of market risk premium around the world. Market Risk Premium and Risk Free Rate Used for 51 Countries in 2013A Survey with 6,237 Answers Fernandez, Pablo and Aguirream... [Read more...]

Another Rcpp/RcppArmadillo success story

October 25, 2013 | Pete

I finally had an excuse to try out RcppArmadillo and was amazed at just how well it worked out.The exact details are a bit beyond a blog post, but basically I had a matrix of roughly 80,000x2 double valued samples (call it A) and needed to fi... [Read more...]

The case for data snooping

October 25, 2013 | Pete

When we are backtesting automated trading systems, accidental data snooping or look forward errors are an easy mistake to make. The nature of the error in this context is making our predictions using the data we are trying to predict. Typically, it comes from a mistake with our calculations of ... [Read more...]

Pricing Reinsurance Contracts

October 24, 2013 | arthur charpentier

In order to illustrate the next section of the non-life insurance course, consider the following example1, inspired from http://sciencepolicy.colorado.edu/…. This is the so-called “Normalized Hurricane Damages in the United States” dataset, for the period 1900-2005, from Pielke et al. (2008). The dataset is available in xls format, so ... [Read more...]
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