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News 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) exercise 1.pdf Solution: Lecture 2: Matrices, data frames, and reading files. notes: pdf TeXmacs Over the weekend, you should read pages 1-22, 281-291 of "Statistics. An Introduction using R" by Michael J. Crawley. I also asked you to find in your data a file and try to read it into R. Lecture 3: Functions and loops. notes: [pdf] [TeXmacs] [example file for lecture] [exercise 2](right click to save as) [exercise 2.pdf] [additional file for exercise2] solution to execise 2 Lecture 4: Statistical tests. notes: [pdf] [TeXmacs] Lecture 5: More about statistical tests. notes: [pdf] [TeXmacs] 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 6: Plots and distributions. notes: [pdf] [TeXmacs] [exercise 3](right click to save as) [exercise 3.pdf] Lecture 7: Analysis of variance 1. notes: [pdf] [TeXmacs] data for lecture [solution to exercise 3](right click to save as) [exercise3_solution.pdf] Lecture 8: Analysis of variance 2 (and regression). notes: [pdf] [TeXmacs] data for lecture data for lecture data for lecture data for lecture Lecture 9: Lists, Bootstrap and Jacknife. notes: [pdf] [TeXmacs] data for lecture data for lecture [exercise 4](right click to save as) [exercise4.pdf] data for exercise (strange.txt) data for lecture (species.txt) Lecture 10: Permutation tests and files. notes: [pdf] [TeXmacs] [solution to exercise 4](right click to save as) [exercise4_solution.pdf] sample program Lecture 11: Accessing databases: Oracle, PostgreSQL, and Access/Excel. notes: [pdf] [TeXmacs] Windows part of the lecture 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. How to install xemacs and ess on windows (This document is taken from this site) Graph gallery- a cool site that contains pictures of graphs produced by R. This can help you make just the right plot! 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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