We've written about BIG data before and while some reckon it's sexy, you better roll up your sleeves because you'll invariably need to do a lot of 'janitorial' (a.k.a. shit) work first!
Ron Sandland recently wrote about the new phenomenon of 'big data' - weighing up the benefits and concerns. Terry Speed reflected on the same issue in a talk earlier this year inGothenburg, Sweeden noting that this is nothing new to statisticians. So what's all the fuss about? Here's another take on the 'big data' bandwagon.
Bayesian Statistical Methods in Ecotoxicology, May 15, 2011
INSTRUCTIONS
You should download items 1-5.
You only need to download 6
or 7 if you've not already installed OpenBUGS;
You only need to download 8
or 9
or 10 if you've not already installed R.
Items 11 and 12 arerequired but they are best installed using the Packages->Install package(s) menu in the R graphical interface. Note, that this method requires that you have already installed R and that you have an internet connection (see page 67 of the Course Notes). For those who do not have a graphical interface (eg. Linux users) you will have to use R commands such as install.packages("coda") and
install.packages("fitdistrplus"). After installing, load the packages using the commands
library(coda) and library(fitdistrplus) or
require(coda) and require(fitdistrplus).
If you require further assistance fill in the contact form at the bottom of this page.
1. Course
Brochure (308Kb) pdf 2. Course
Notes (7Mb) pdf 3. OpenBUGS
scripts (zip file 775Kb) 4. R
scripts and data (zip file 39Kb) 5. Excel spreadsheet for gamma priors (Excel 7Kb)
Download and Install OpenBUGS
6. Windows - starts download of EXE file
7. Linux and Mac - go to the OpenBUGS site for detailed installation instructions
Download and Install R
Precompiled binary distributions of the base system and contributed packages, Windows and Mac users most likely want one of these versions of R: 8. Linux 9. MacOS X 10. Windows
