After writing the solutions to the odd-numbered exercises in Chapter 5 of “Introducing Monte Carlo Methods with R”., I alas found the following typos, two of which are rather major (Exercise 5.3 and Example 5.16). I apologise to the readers these typos may confuse.
– Exercise 5.3 has no simple encompassing set and the constraint should 
Chapter 4 of “Introducing Monte Carlo Methods with R” has four typos (so far) in the exercises:
– In Exercise 4.5, the should not be in bold fonts (!)
– In Exercise 4.9, I commented too many lines when revising and thus the variance terms vanished. It should read
– In Exercise 4.13, following the removal of 
The Codecogs website provides an Open-source library of functions for numerical analysis. One interesting component available on the website is the LaTeX equation editor which can be used to create graphics files of equations to include on webpages. The webpage describe this component as a A web-based LaTeX equation editor that generates graphical images and HTML
Here are two more typos in the exercises of Chapter 3 of “Introducing Monte Carlo Methods with R”.
– due to the (later) inclusion of an extra-exercise in the book, the “above exercise” in Exercise 3.5 actually means Exercise 3.3.
– in Exercise 3.11, question c, a line got commented by mistake in the LaTeX file and 
When grading homeworks for my Monte Carlo graduate class, I found that my students had pointed out two typos in the exercises of Chapter 2 of “Introducing Monte Carlo Methods with R”.
– In Exercise 2.17, question d. should be “d. Show that the maximum of is attained at .“
– In Exercise 2.21, in item 
Life should be fun. I saw a post in R-help list saying Merry Christmas to other useRs, and I followed up by some R code which can produce a naive animation like this: Here is the code to generate the above Flash animation with shining Christmas: library(animation) saveSWF({ n = length(speed <- runif(angle <- runif(x
I love using TeXShop for GUI editing of LaTeX and particularly Sweave documents, but it is a pain not being able to get it to automatically generate the pdf output. Luckily I found this post which explains how to add a Sweave engine.Basically, make a f...
I love using TeXShop for GUI editing of LaTeX and particularly Sweave documents, but it is a pain not being able to get it to automatically generate the pdf output. Luckily I found this post which explains how to add a Sweave engine.Basically, make a f...
In 2006 UserR conference Jim Porzak gave a presentation on data profiling with R. He showed how to draw summary panels of the data using a combination of grid and base graphics. Unfortunately the code has not (yet) been released as a package, so when I recently needed to quickly review several datasets at the 
After recently having to think critically about the value of various R packages for social science research, I realized that others might find value in a post on “must-have” R packages for social scientists. After the immensely popular post on this topic for Python packages a follow-up seemed appropraite. If you conduct social
Zero Inflated Models and Generalized Linear Mixed Models with R.
Zuur, Saveliev, Ieno (2012).
