Statistics Links: Difference between revisions
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Small Sample Size stats |
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*[http://www.graphpad.com/www/Book/Choose.htm Choosing a statistical test] This is chapter 37 of Intuitive Biostatistics (ISBN 0-19-508607-4) by Harvey Motulsky. | *[http://www.graphpad.com/www/Book/Choose.htm Choosing a statistical test] This is chapter 37 of Intuitive Biostatistics (ISBN 0-19-508607-4) by Harvey Motulsky. | ||
*[http://www.parliament.uk/topics/Statistics-policyArchive.htm Basic statistical concepts] by UK parliament. | *[http://www.parliament.uk/topics/Statistics-policyArchive.htm Basic statistical concepts] by UK parliament. | ||
*[http://www.robertniles.com/stats/ Statistics Every Writer Should Know] by Robert Niles | |||
*[http://www.stats.org/faq.htm Stats simplified] Statistical Assessment Service | |||
*[http://www-stat.stanford.edu/~tibs/ElemStatLearn/ The Elements of Statistical Learning: Data Mining, Inference, and Prediction] Free e-book by Trevor Hastie, Robert Tibshirani, Jerome Friedman | |||
*[https://measuringu.com/small-n/ Best Practices for Using Statistics on Small Sample Sizes] by Jeff Sauro | August 13, 2013 | |||
== Statistics for HCI Research == | == Statistics for HCI Research == | ||
*[http://yatani.jp/HCIstats/HomePage Statistics for HCI Research] by Koji Yatani | *[http://yatani.jp/HCIstats/HomePage Statistics for HCI Research] by Koji Yatani | ||
*[http://webword.com/moving/cochransq.html Statistically Analyzing Success Rates in Web Usability Testing: The Cochran's Q Test] by Jamie Griffith | *[http://webword.com/moving/cochransq.html Statistically Analyzing Success Rates in Web Usability Testing: The Cochran's Q Test] by Jamie Griffith | ||
*[https://hci.rwth-aachen.de/statsplorer Statsplorer] by RWTH Aachen – ''Statsplorer (formerly known as VisiStat) is a software tool that allows users to do statistical analysis by interacting with visualizations. It guides the user to select appropriate statistical analysis tasks based on her research questions.'' | |||
*[http://link.springer.com/book/10.1007%2F978-3-319-26633-6 Modern Statistical Methods for HCI] by Judy Robertson and Maurits Kaptein (Editors) | |||
== Statistics with R == | == Statistics with R == | ||
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*[http://www.his.sunderland.ac.uk/~cs0her/Statistics/UsingGraphicsInR.htm Using Graphics in R] | *[http://www.his.sunderland.ac.uk/~cs0her/Statistics/UsingGraphicsInR.htm Using Graphics in R] | ||
*[http://www.rdatamining.com./ RDataMining.com] R and Data Mining | *[http://www.rdatamining.com./ RDataMining.com] R and Data Mining | ||
*[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 | |||
*[http://rddj.info .Rddj] Resources for doing data journalism with R. | |||
[[Category:Web resources]] | [[Category:Web resources]] | ||
Latest revision as of 15:55, 29 January 2018
- 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
- Best Practices for Using Statistics on Small Sample Sizes by Jeff Sauro | August 13, 2013
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
- Statsplorer by RWTH Aachen – Statsplorer (formerly known as VisiStat) is a software tool that allows users to do statistical analysis by interacting with visualizations. It guides the user to select appropriate statistical analysis tasks based on her research questions.
- Modern Statistical Methods for HCI by Judy Robertson and Maurits Kaptein (Editors)
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
- .Rddj Resources for doing data journalism with R.