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News (13/2) Course done! Lecture notes 9 are below. R course - Michael Lachmann The planned timetable: Week 2: Statistical tests and bootstrapping using R Week 3: Bioconductor and database access Lecture notes and exercises Lecture 1: Basics of R, TeXmacs, statistics, and bootstrapping. notes: pdf TeXmacs exercise 1(right click to save as) Solution: TeXmacs pdf The exercise will ask you to read pages 1-8 from "simpleR - Using R for Introductory Statistics". Lecture 2: Matrices notes: pdf TeXmacs (right click to save as) I asked you to read pages 11-29 from the book "Statistical Computing" by Michael J. Crawley. Lecture 3: Programing notes: pdf TeXmacs (right click to save as) exercise 2, supplementary material: speeding.csv Solution: TeXmacs pdf Lecture 4: Statistical tests notes: pdf TeXmacs (right click to save as) I asked you to read pages 131-167 from "Statistical Computing". The following zip file contains the data that is used. You'll need to read it into R. data.zip Lecture 5: Plotting and lines notes: pdf TeXmacs (right click to save as) Lecture 6: Linear models and analysis of variance notes: pdf TeXmacs (right click to save as) exercise3. You will need data files from data.zip, and strange.txt Solution: TeXmacs Lecture 7: Bootstrap notes: pdf TeXmacs (right click to save as) Lecture 8: Access to databases notes: pdf TeXmacs (right click to save as) Lecture 9: Bioconductor notes: pdf TeXmacs (right click to save as) R Documentation: "simpleR - Using R for Introductory Statistics" by John Verzani This is a very nice introduction to R. Pages 1-18 cover most of what we'll learn in the first class. "R for Beginners" by Emmanuel Paradis This is a good introduction to the internals of R, more from a programmers direction. I will go some into the internals of R, but if you want to learn more about how to multiply matrices, more about how to read files, etc., read this. "Using R for Data Analysis and Graphics" by J. H. Maindonald This document mainly talks about doing graphics in R. It has a nice introduction to the windows interface. Function finder - a web page that groups functions in R by what they do. R Data Import/Export - explains how to export data from R to files, and to different database formats. The DBI interface on page 14 is what ROracle also uses, so that section explains some of what we learned in class. The ROracle Package - explains more about interfacing an oracle database from R. It is fairly technical and is a manual of the different functions rather than a tutorial. barney is our internal server, which points to some SQL documentation. Links: Main
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