# Difference between revisions of "Statistics Links"

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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://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://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]] | [[Category:Web resources]] |

## Revision as of 11:45, 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

## Statistics for HCI Research

- Statistics for HCI Research by Koji Yatani
- Statistically Analyzing Success Rates in Web Usability Testing: The Cochran's Q Test by Jamie Griffith

## Statistics with R

- 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