The Gaussian vector is extremely interesting since it remains Gaussian when conditioning. More precisely, if is a Gaussian random vector, then the conditional distribution of is also Gaussian. Further, it is possible to derive explicitly the cova...
Monthly Archives: November 2011
"Applications of R" contest submissions online
Thanks to everyone for participating in the "Applications of R in Business" contest. R users submitted more than 25 entries, describing how R is used in industries including life sciences, finance, manufacturing, sentiment analysis, and even sports. Some entries are just outlines for now (competitors have until November 30 to finalize their entries), but already there are some quite...
Using Sweave with Beamer: A note on fonts
Recently, I've been preparing a poster using the LaTeX packages Beamer and beamerposter. The poster discusses a bunch of R stuff that I've been doing lately, so I successfully used Sweave to incorporate R code into the poster. However, I had some troub...
Cycles in finite populations: A reproducible seminar in three acts
For this years Halloween I presented the mathematical biology seminar at the Centre for Mathematical Biology. Here is the title and the abstract… Cycles in finite populations: a reproducible seminar in three acts Many natural populations exhibit cyclic fluctuations. Explaining the underlying … Continue reading →
Generating PPC Keywords in R
Paid search marketing refers to the process of driving traffic to a website by purchasing ads on search engines. Advertisers bid on certain keywords that users might search for, and that determines when and where their ads appear. For example, an individual who owns an auto dealership would want to bid on keywords relating to automobiles
Selecting statistics for ABC model choice [R code]
![Selecting statistics for ABC model choice [R code]](http://feeds.wordpress.com/1.0/comments/xianblog.wordpress.com/13140/)
As supplementary material to the ABC paper we just arXived, here is the R code I used to produce the Bayes factor comparisons between summary statistics in the normal versus Laplace example. (Warning: running the R code takes a while!) Filed under: R, Statistics, University life Tagged: ABC, Bayesian model choice, Laplace distribution, R, summary 
How much does "Beta" change depending on time?
You may often use "Beta" to measure the market exposure of your portfolio because it's easy to calculate.Since I have been wondering how much "Beta" change depending on time, more precisely writing, data-set and the period of return time series, I...
R 2.14 for Windows: now with SVG support
One additional new feature in the latest release of R: the standard binaries of R 2.14 from the R Project now include Cairo support. For Windows users, this means that you can now create SVG graphics in R -- the best format for displaying R graphics on the web -- without having to compile R yourself. Note that if...
Evolving Domestic Frontier
When we learn the efficient frontier, most are misled to believe that the frontier is static and unchanging. However, we should have all learned by recent experience that the frontier is as volatile as the assets that construct it. If we lo...
Use case: combining taxize and rgbif
Sure thing….this is just the sort of thing for which rOpenSci is being built. A colleague of mine recently saw our packages in development and thought, “Hey, that could totally make my life easier.” What was made easier you ask? This was his situation: He had a list of ca. 1200 species of
Zero Inflated Models and Generalized Linear Mixed Models with R.
Zuur, Saveliev, Ieno (2012).
