Model selection is a process of seeking the model in a set of candidate models that gives the best balance between model fit and complexity (Burnham & Anderson 2002). I have always used AIC for that. But you can also…
714 search results for "latex"
LaTeX in R graphs
A nice post was recently published on the rsnippets blog, about the tikzDevice R package. This package is – indeed – awesome. Even if it has been removed from the CRAN website. Of course, it can be download from the archive folder, on http://cran.r-project.org/…, but also (for a more recent version) on http://download.r-forge.r-project.org/…. But first, it is necessary to install...
Animation, from R to LaTeX
Just a short post, to share some codes used to generate animated graphs, with R. Assume that we would like to illustrate the law of large number, and the convergence of the average value from binomial sample. We can generate samples using > n=200 > k=1000 > set.seed(1) > X=matrix(sample(0:1,size=n*k,replace=TRUE),n,k) Each row will be a trajectory of heads and...
All you need is text – Markdown (via pandoc) for academia
Many students struggle to find an adequte format for their thesis. Ironically the advent of “modern” WYSIWYG programms seems to make it harder to consistently format a text. While learning LaTeX may be a bit too much to ask for, markdown is a very minimal language that together with pandoc affords all typesetting needs for
Missing tikzDevice
I love using tikzDevice. When preparing LaTeX documents I switched to prepare all graphs in GNU R and then port them to TeX using tikzDevice. Recently I have moved to GNU R 3.0.0 and was shocked to find that this package is no longer available on CRAN....
Poor man’s integration – a simulated visualization approach
Every once in a while I encounter a problem that requires the use of calculus. This can be quite bothersome since my brain has refused over the years to retain any useful information related to calculus. Most of my formal training in the dark arts was completed in high school and has not been covered 
FasteR! HigheR! StongeR! – A Guide to Speeding Up R Code for Busy People
This is an overview of tools for speeding up your R code that I wrote for the Davis R Users’ Group.
First, Ask “Why?”
It’s customary to quote Donald Knuth at this point, but instead I’ll quote my twitter buddy Ted Hart to illustrate a point:
I’m just going to say it.I like for loops in #Rstats,...
Bank of England Fan Charts in R
I managed to catch David Spiegelhalter’s Tails You Win on BBC iplayer last week. I missed it the first time round, only for my parents on my last visit home to tell me about a Statistician jumping out of a … Continue reading →
In three months, I’ll be in Vegas (trying to win against the house)
In fact, I’m going there with my family and some friends, including two probabilists (I mean professionals, I am merely an amateur), with this incredible challenge: will I be able to convince probabilists to go to play at the Casino? Actually, I also want to study them carefully, to understand how we should play optimally. For example, I hope...
Le Monde puzzle [#817]
The weekly Le Monde puzzle is (again) a permutation problem that can be rephrased as follows: Find where denotes the set of permutations on {0,…,10} and is defined modulo 11 . Same question for and for This is rather straightforward to code if one adopts a brute-force approach:: (where I 
Zero Inflated Models and Generalized Linear Mixed Models with R.
Zuur, Saveliev, Ieno (2012).
