Monthly Archives: July 2014

The Pay-for-Performance Myth

July 28, 2014
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The Pay-for-Performance Myth

Last week, Eric Chemi and Ariana Giorgi published an interesting article on “The Pay-for-Performance Myth” With all the public chatter about exorbitant executive compensation and income inequality, it’s useful to look at the relationship between chief executive officer pay and corporate performance. Typically, when the subject of their big pay packages arises, CEOs—usually through their spokespeople—say they are paid for...

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EARL and other upcoming events

July 28, 2014
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EARL and other upcoming events

Highlighted EARL As in “Effective Applications of the R Language”. 2014 September 15-17, London. Somehow they gave higher billing to Ben Goldacre than to Pat Burns.  If Obama were coming, they’d probably bill him above me too — and what does he know about R?  In spite of that little glitch, I’m sure it will … Continue reading...

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Pie Charts. Are they worth the Fight?

July 28, 2014
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Pie Charts. Are they worth the Fight?

Like Rob, I recently got back from ICOTS. What a great conference. Kudos to everyone who worked hard to organize and pull it off. In one of the sessions I was at, Amelia McNamara (@AmeliaMN) gave a nice presentation about how … Continue reading →

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Reuters uses R to report on surge in coastal flooding in US

July 28, 2014
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Reuters uses R to report on surge in coastal flooding in US

As global warming causes sea levels to rise, the risk of flooding for coastal settlements also rises over time. A recent analysis by Reuters find that incidents of coastal flooding along the Eastern seaboard of the United States have surged in recent years as the sea level steadily rises. Flood levels have been exceeded in six eastern cities by...

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Analyses as Packages

Analyses as Packages TL;DR Instead of writing an analysis as a single or set of R scripts, use a package and include the analysis as a vignette of the package. Read below for the why, the how is in the next post. Analyses and Reports As data science or statistical researchers, we tend to do a lot of analyses, whether for our...

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a:class <- b

July 28, 2014
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Usually in strongly typed languages, like C++, the type of a variable comes before the variable, e.g.: int x = 23 ; So x is declared of type int and assignd the value 23. Now, some languages do things differently, e.g. in julia: x::Int8 = 10...

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Cigarette and life expectancy

July 28, 2014
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Cigarette and life expectancy

Yesterday evening, I uploaded a graph, with the labor productivity as a function of coffee consumption. Of course, it was for fun ! With this kind of regression, base on aggregated data, we can say almost anything, since most of them are correlated because of some (hidden) common factor, such as the wealth of the country. For instance, with...

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Analyzing package dependencies and download logs from Rstudio, and a start towards building an R recommendation engine

July 27, 2014
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Analyzing package dependencies and download logs from Rstudio, and a start towards building an R recommendation engine

In this post, I will focus on the analysis of available R packages and the behavior of its users. In essence, this involves looking at the data in two different ways (1) relationships among available R packages in CRAN and (2) tracking the behavior of R users through download logs on CRAN mirrors. I will

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Calculating VaR with R

July 27, 2014
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Calculating VaR with R

Simulations can be useful in an unimaginably large number of scenarios. Finance in particular is a field of study where maths and statistics have made led to great advances (sometimes for the good, sometimes for the bad). Value at Risk is just another example of subject where a simulation approach could be handy. But, what is VaR? VaR is...

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Coffee and Productivity

July 27, 2014
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Coffee and Productivity

On Twitter, I was asked if there were serious research papers published on coffee consumption and labour productivity. There are some papers on coffee breaks and productivity, e.g. Productivity Through Coffee Breaks, but I could not find anything on coffee consumptions. Since I could not find any dataset with personal consumption (maybe I should start keeping tracks of my own consumption...

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