Holcombe:ProgrammingInR: Difference between revisions

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[http://www.rpad.org/Rpad/R-refcard.pdf R reference cheatsheet], also
[http://www.rpad.org/Rpad/R-refcard.pdf 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
a file here [[Media:Matlab-python-xref.pdf‎]] that gives equivalent code for doing array operations in MATLAB, Python, and R
[http://www.statmethods.net/advgraphs/axes.html plot parameters]


In the lab we have the book ''Using R for Introductory Statistics''.
In the lab we have the book ''Using R for Introductory Statistics''.

Revision as of 02:16, 14 March 2009

Recent members

Alex Holcombe
• Ryo Nakayama



Technical

Skills Checklist
Python Programming
Psychopy/VisionEgg Installation Notes
R analysis,plot,stats
Statistics
Buttonbox
Buttonbox with photocell
Programming Cheat Sheets


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 plot parameters

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

some aov (ANOVA) explanation

R will assume factor is regressor if numeric

I think I had too many error terms reducing 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.