University of Arizona
Mathematics and Data Science 363
Introduction to Statistical Methods
Resources
Course Textbook
Downloads
and web interfaces
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The R Project for Statistical Computing. R, free statistical analysis package developed by Robert
Gentleman and Ross Ihaka, is a language and environment for statistical
computing and graphics. It is a GNU project
which is similar to the S language and environment which was developed at Bell
Laboratories (formerly AT&T, now Lucent Technologies) by John Chambers and
colleagues. R can be considered as a different implementation of S.
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Tinn-R is a Windows-based free, simple but
efficient replacement for the basic code editor provided by R-gui.
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Rstudio is an integrated development environment
for R.
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knitr integrates
R code into a latex document.
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R FAQ Frequently
Asked Questions on R
Ethics
_ Declaration on Profession Ethics in several languages from the International
Statistical Institute
_ Ethical
Guidelines for Statistical Practice from the American Statistical
Association
Manuals
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SimpleR: Using R for
Introductory Statistics by John Verzani.
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R for Beginners by Emmanuel Paradis.
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Introductory
Statistics with R (first edition) by Peter Dalgaard
from the Springer Link.
Handouts
and Guides
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R as a basic statistical calculator for obtaining p-values and plotting probability distributions (6 page pdf file) by Bruce Walsh.
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R reference card by Jonathan Baron.
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R reference card by Tom Short.
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R for Matlab users by Mathesaurus
Textbooks
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Investigating
Statistical Concepts, Applications, and Methods by Beth L. Chance and
Allan J. Rossman
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Stat 2
by Ann R. Cannon, George W. Cobb,
Bradley A. Hartlaub, Julie M. Legler, Robin H. Lock,
Thomas L. Moore, Allan J. Rossman , Jeffrey A. Witmer
_ Probability and Statistics by Morris H. DeGroot
and Mark J. Schervish
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Stats:
Data and Models by
Richard D. DeVeaux, Paul F. Velleman,
David E. Bock
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Practicing Statistics:
Guided Investigations for the Second Course by Shonda Kuiper and Jeff Sklar
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Stat
Labs: Mathematical Statistics Through Applications by Deborah Nolan and Terry
P. Speed
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Mathematical
Statistics and Data Analysis
by John A. Rice
On-line
Resources
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Correlation
and Regression by Philip B. Stark
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Java applets for power and sample
size by Russ Lenth
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Receiver operator
characteristic curve
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Links to online resources
Tables