R for statistical research

• QuikStart R
• Using R for cross-cultural Research
• Learn QuikStart_R fast in a worked out example for Single Factor_Analysis using anthropological data on external warfare.
• Factor Analysis in R http://stat.ethz.ch/R-manual/R-patched/library/stats/html/factanal.html http://dataninja.wordpress.com/2006/02/18/basic-factor-analysis-in-r/
• Factor Analysis in R http://rss.acs.unt.edu/Rdoc/library/stats/html/factanal.html
• Probabilistic Factor Analysis in R http://72.14.253.104/search?q=cache:4ELZ4Ol7GecJ:www.cs.utoronto.ca/~radford/csc411.F06/17-fa.ps+%22Factor+analysis+in+R%22&hl=en&ct=clnk&cd=6&gl=us (see also QuikStart R).

• Multiple regression http://cran.r-project.org/doc/manuals/R-intro.html#Linear-models

• Multivariate autoregressive models http://cran.r-project.org/src/contrib/Descriptions/mAr.html

Textbook: simpleR – Using R for Introductory Statistics http://cran.r-project.org/doc/contrib/Verzani-SimpleR.pdf

These notes are an introduction to using the statistical software package R for an introductory statistics course. They are meant to accompany an introductory statistics book such as Kitchens Exploring Statistics. A 900+ page book but many Amazon used booksellers have this for under $1.00! The goals are not to show all the features of R, or to replace a standard textbook, but rather to be used with a textbook to illustrate the features of R that can be learned in a one-semester, introductory statistics course.

The notes were written to take advantage of R version 1.5.0 or later. For pedagogical reasons the equals sign, =, is used as an assignment operator and not the traditional arrow combination <--.

Using R for Introductory Statistics http://wiener.math.csi.cuny.edu/UsingR/

R Introductions

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