How to do Biostatistics (with R
and Rcmdr)
A short course brought to you by Lane Library and SPCTRM
Morning slides are here:
https://www.stanford.edu/~balise/SPCTRM/HowToDay1morning20070902.ppt
Afternoon slides are here:
https://www.stanford.edu/~balise/SPCTRM/HowToDay1afternoon20070902.ppt
https://www.stanford.edu/~balise/SPCTRM/jitterSunflower.ppt
The datasets are here:
https://www.stanford.edu/~balise/SPCTRM/diabetic.xls
https://www.stanford.edu/~balise/SPCTRM/gad.xls
https://www.stanford.edu/~balise/SPCTRM/obese.xls
The code is here:
https://www.stanford.edu/~balise/SPCTRM/assignment.r
Morning slides are here:
https://www.stanford.edu/~balise/SPCTRM/HowToDay2Morning20070910.ppt
Afternoon slides are here:
https://www.stanford.edu/~balise/SPCTRM/HowToDay2Afternoon20070910.ppt
The datasets are here:
https://www.stanford.edu/~balise/SPCTRM/worms.txt
https://www.stanford.edu/~balise/SPCTRM/worms.missing.txt
https://www.stanford.edu/~balise/SPCTRM/angina.xls
https://www.stanford.edu/~balise/SPCTRM/asymptotic.txt
https://www.stanford.edu/~balise/SPCTRM/diabetic.xls
https://www.stanford.edu/~balise/SPCTRM/fev.xls
https://www.stanford.edu/~balise/SPCTRM/anemia.xls
https://www.stanford.edu/~balise/SPCTRM/memory.xls
https://www.stanford.edu/~balise/SPCTRM/eye.xls
https://www.stanford.edu/~balise/SPCTRM/pain.xls
https://www.stanford.edu/~balise/SPCTRM/lesion.xls
or as one zip archive
https://www.stanford.edu/~balise/SPCTRM/day2data.zip
The code is here:
https://www.stanford.edu/~balise/SPCTRM/day2.r
Slides are here:
https://www.stanford.edu/~balise/SPCTRM/HowToDay3from20070916a.ppt
The datasets are here:
https://www.stanford.edu/~balise/SPCTRM/gi.xls
https://www.stanford.edu/~balise/SPCTRM/response.xls
https://www.stanford.edu/~balise/SPCTRM/aml.xls
The code is here:
https://www.stanford.edu/~balise/SPCTRM/day3.r
Mac Users read how to install Rcmdr here:
http://socserv.mcmaster.ca/jfox/Misc/Rcmdr/installation-notes.html
I think the trick is to just start X11 before you type library(Rcmdr).
If you don not have X11 installed… This comes from Dr. Markus Britschgi. (Thank you!)