Statistics Links: Difference between revisions

Revision as of 10:45, 17 August 2015

Electronic Statistics Textbook The Electronic Statistics Textbook offers training in the understanding and application of statistics.
Choosing a statistical test This is chapter 37 of Intuitive Biostatistics (ISBN 0-19-508607-4) by Harvey Motulsky.
Basic statistical concepts by UK parliament.
Statistics Every Writer Should Know by Robert Niles
Stats simplified Statistical Assessment Service
The Elements of Statistical Learning: Data Mining, Inference, and Prediction Free e-book by Trevor Hastie, Robert Tibshirani, Jerome Friedman

Examples of the book "Statistical Data Analysis Explained" by Clemens Reimann, Peter Filzmoser, Robert Garrett, Rudolf Dutter
Quick-R by Robert I. Kabacoff
ANOVA with R by William Revelle
Using R for psychological research: A simple guide to an elegant package by William Revelle
Using Graphics in R
RDataMining.com R and Data Mining
Time Series Analysis and Its Applications: With R Examples Website for the book
Hot Metal Color Table
Tufte in R ("The idea behind Tufte in R is to use R - the most powerful open-source statistical programming language - to replicate excellent visualisation practices developed by Edward Tufte.") by Lukasz Piwek

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 *[http://www.stat.pitt.edu/stoffer/tsa2/ Time Series Analysis and Its Applications: With R Examples] Website for the book
 *[http://rgm2.lab.nig.ac.jp/RGM2/func.php?rd_id=oro.nifti:hotmetal Hot Metal Color Table]
+*[http://motioninsocial.com/tufte/ Tufte in R] ("The idea behind Tufte in R is to use R - the most powerful open-source statistical programming language - to replicate excellent visualisation practices developed by Edward Tufte.") by Lukasz Piwek
 [[Category:Web resources]]