Holcombe:ProgrammingInR: Difference between revisions
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[http://books.google.com.au/books?id=yULf2kZSfeMC&pg=PA303&lpg=PA303&dq=r+linear+model+lm+continuous+and+discrete+factor&source=bl&ots=t82xDTuDaL&sig=EVVrHZ08lC80MGvJUQDNLg948Mc&hl=en&ei=_CO3SdOsG5mktQPZxYjsAQ&sa=X&oi=book_result&resnum=1&ct=result#PPA303,M1 R will assume factor is regressor if numeric] | [http://books.google.com.au/books?id=yULf2kZSfeMC&pg=PA303&lpg=PA303&dq=r+linear+model+lm+continuous+and+discrete+factor&source=bl&ots=t82xDTuDaL&sig=EVVrHZ08lC80MGvJUQDNLg948Mc&hl=en&ei=_CO3SdOsG5mktQPZxYjsAQ&sa=X&oi=book_result&resnum=1&ct=result#PPA303,M1 R will assume factor is regressor if numeric] | ||
I think I had [http://tolstoy.newcastle.edu.au/R/help/04/08/2136.html too many error terms] | |||
==Dealing with circular data== | ==Dealing with circular data== | ||
Revision as of 22:15, 10 March 2009
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R is a programming language for statistics. However it may have menu-driven versions maybe available R commander we haven't tried that and another one is pmg GTK maybe here
R_Statistics introduces you to R
R reference cheatsheet, also a file here Media:Matlab-python-xref.pdf that gives equivalent code for doing array operations in MATLAB, Python, and R
In the lab we have the book Using R for Introductory Statistics.
There is a wiki with some good tips here.
Examining your data matrix or object, let's say it's called datos
head(datos) str(datos)
Don't use the function attach. It seems to leave lots of data in the 'environment' that can cause problems later. Also it makes the code harder to understand.
doing ANOVAs etc
R will assume factor is regressor if numeric
I think I had too many error terms
Dealing with circular data
von Mises vs. wrapped Gaussian,
see Swindale, N. V. (1998). Orientation tuning curves: empirical description and estimation of parameters. Biol Cybern, 78(1), 45-56.
