http://vrl.cs.brown.edu/wiki/index.php?action=history&feed=atom&title=Statistics_And_Graphs
Statistics And Graphs - Revision history
2026-04-19T19:16:57Z
Revision history for this page on the wiki
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http://vrl.cs.brown.edu/wiki/index.php?title=Statistics_And_Graphs&diff=6411&oldid=prev
Ryan Cabeen at 19:48, 29 August 2013
2013-08-29T19:48:48Z
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<td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">Revision as of 19:48, 29 August 2013</td>
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<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>==Practicals==</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>==Practicals==</div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* [http://depts.washington.edu/aimgroup/proj/ps4hci/ Practical Statistics for HCI], independent study modules by Jacob Wobbrock at UW</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* [http://depts.washington.edu/aimgroup/proj/ps4hci/ Practical Statistics for HCI], independent study modules by Jacob Wobbrock at UW</div></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>* [[<del style="font-weight: bold; text-decoration: none;">Vrl </del>Statistics Tutorial]]</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>* [[Statistics Tutorial]] <ins style="font-weight: bold; text-decoration: none;">written by Andrew Forsberg</ins></div></td></tr>
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Ryan Cabeen
http://vrl.cs.brown.edu/wiki/index.php?title=Statistics_And_Graphs&diff=6410&oldid=prev
Ryan Cabeen at 19:47, 29 August 2013
2013-08-29T19:47:39Z
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<td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">Revision as of 19:47, 29 August 2013</td>
</tr><tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l1">Line 1:</td>
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<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>Many good resources exist to help you analyze your data. Here are a few:</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>Many good resources exist to help you analyze your data. Here are a few:</div></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>* <del style="font-weight: bold; text-decoration: none;">[book] </del>"Discovering Statistics Using SPSS", available at [https://josiah.brown.edu/search/?searchtype=X&searcharg=discovering+statistics+with+spss&searchscope=07&SORT=D&SUBMIT=Search Brown libraries]. '''NOTE:''' The 2013 edition has been rebranded [http://www.amazon.com/Discovering-Statistics-using-IBM-SPSS/dp/1446249182 "Discovering Statistics with IBM SPSS Statistics"].</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">==Books==</ins></div></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>* <del style="font-weight: bold; text-decoration: none;">[book] </del>[http://www-stat.stanford.edu/~tibs/ElemStatLearn/ Elements of Statistical Learning] (downloadable pdf), recommended by Rossi Luo and Erik Sudderth</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>* "Discovering Statistics Using SPSS", available at [https://josiah.brown.edu/search/?searchtype=X&searcharg=discovering+statistics+with+spss&searchscope=07&SORT=D&SUBMIT=Search Brown libraries]. '''NOTE:''' The 2013 edition has been rebranded [http://www.amazon.com/Discovering-Statistics-using-IBM-SPSS/dp/1446249182 "Discovering Statistics with IBM SPSS Statistics"].</div></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>* <del style="font-weight: bold; text-decoration: none;">[book] </del>[http://www.amazon.com/Machine-Learning-Probabilistic-Perspective-Computation/dp/0262018020 Machine Learning: A Probabilistic Perspective], recommended by Erik Sudderth</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>* [http://www-stat.stanford.edu/~tibs/ElemStatLearn/ Elements of Statistical Learning] (downloadable pdf), recommended by Rossi Luo and Erik Sudderth</div></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>* <del style="font-weight: bold; text-decoration: none;">[book] </del>[http://www.amazon.com/The-Essence-Multivariate-Thinking-Applications/dp/0805837302/ref=sr_1_fkmr1_1?ie=UTF8&qid=1377805278&sr=8-1-fkmr1&keywords=he+Essence+of+Multivariate+Thinking Essence of Multivariate Thinking], recommended by Stephen Correia</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>* [http://www.amazon.com/Machine-Learning-Probabilistic-Perspective-Computation/dp/0262018020 Machine Learning: A Probabilistic Perspective], recommended by Erik Sudderth</div></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>* <del style="font-weight: bold; text-decoration: none;">[book] </del>[http://www.amazon.com/Using-Multivariate-Statistics-Barbara-Tabachnick/dp/0205849571/ref=sr_1_1?s=books&ie=UTF8&qid=1377274046&sr=1-1&keywords=tabachnik+and+fidell Using Multivariate Statistics], recommended by Stephen Correia</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>* [http://www.amazon.com/The-Essence-Multivariate-Thinking-Applications/dp/0805837302/ref=sr_1_fkmr1_1?ie=UTF8&qid=1377805278&sr=8-1-fkmr1&keywords=he+Essence+of+Multivariate+Thinking Essence of Multivariate Thinking], recommended by Stephen Correia</div></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>* <del style="font-weight: bold; text-decoration: none;">[book] </del>[http://www.amazon.com/Pattern-Recognition-Learning-Information-Statistics/dp/0387310738 Pattern Recognition and Machine Learning], recommended by Ryan</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>* [http://www.amazon.com/Using-Multivariate-Statistics-Barbara-Tabachnick/dp/0205849571/ref=sr_1_1?s=books&ie=UTF8&qid=1377274046&sr=1-1&keywords=tabachnik+and+fidell Using Multivariate Statistics], recommended by Stephen Correia</div></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>* <del style="font-weight: bold; text-decoration: none;">[book] </del>[http://www.math.dartmouth.edu/~prob/prob/prob.pdf Grinstead and Snell's Introduction to Probability] (downloadable pdf), recommended by Ryan</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>* [http://www.amazon.com/Pattern-Recognition-Learning-Information-Statistics/dp/0387310738 Pattern Recognition and Machine Learning], recommended by Ryan</div></td></tr>
<tr><td colspan="2" class="diff-side-deleted"></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>* [http://www.math.dartmouth.edu/~prob/prob/prob.pdf Grinstead and Snell's Introduction to Probability] (downloadable pdf), recommended by Ryan</div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div><del style="font-weight: bold; text-decoration: none;"> [paper] </del>[http://dl.acm.org/citation.cfm?id=1553488 Supervised learning from multiple experts: whom to trust when everyone lies a bit], recommended by Rossi Luo</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">==Papers==</ins></div></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>* <del style="font-weight: bold; text-decoration: none;">[paper] </del>[http://statistics.berkeley.edu/sites/default/files/tech-reports/790.pdf Measuring Reproducibility of High-throughput Experiments], recommended by Rossi Luo</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">* </ins>[http://dl.acm.org/citation.cfm?id=1553488 Supervised learning from multiple experts: whom to trust when everyone lies a bit], recommended by Rossi Luo</div></td></tr>
<tr><td colspan="2" class="diff-side-deleted"></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>* [http://statistics.berkeley.edu/sites/default/files/tech-reports/790.pdf Measuring Reproducibility of High-throughput Experiments], recommended by Rossi Luo</div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>* <del style="font-weight: bold; text-decoration: none;">[practical] </del>[http://depts.washington.edu/aimgroup/proj/ps4hci/ Practical Statistics for HCI], independent study modules by Jacob Wobbrock at UW</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">==Practicals==</ins></div></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>* <del style="font-weight: bold; text-decoration: none;">[practical] </del>[[Vrl Statistics Tutorial]]</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>* [http://depts.washington.edu/aimgroup/proj/ps4hci/ Practical Statistics for HCI], independent study modules by Jacob Wobbrock at UW</div></td></tr>
<tr><td colspan="2" class="diff-side-deleted"></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>* [[Vrl Statistics Tutorial]]</div></td></tr>
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Ryan Cabeen
http://vrl.cs.brown.edu/wiki/index.php?title=Statistics_And_Graphs&diff=6409&oldid=prev
Ryan Cabeen at 19:46, 29 August 2013
2013-08-29T19:46:41Z
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<td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">Revision as of 19:46, 29 August 2013</td>
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<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* [book] [http://www.amazon.com/Using-Multivariate-Statistics-Barbara-Tabachnick/dp/0205849571/ref=sr_1_1?s=books&ie=UTF8&qid=1377274046&sr=1-1&keywords=tabachnik+and+fidell Using Multivariate Statistics], recommended by Stephen Correia</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* [book] [http://www.amazon.com/Using-Multivariate-Statistics-Barbara-Tabachnick/dp/0205849571/ref=sr_1_1?s=books&ie=UTF8&qid=1377274046&sr=1-1&keywords=tabachnik+and+fidell Using Multivariate Statistics], recommended by Stephen Correia</div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* [book] [http://www.amazon.com/Pattern-Recognition-Learning-Information-Statistics/dp/0387310738 Pattern Recognition and Machine Learning], recommended by Ryan</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* [book] [http://www.amazon.com/Pattern-Recognition-Learning-Information-Statistics/dp/0387310738 Pattern Recognition and Machine Learning], recommended by Ryan</div></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>* [paper] [http://dl.acm.org/citation.cfm?id=1553488 Supervised learning from multiple experts: whom to trust when everyone lies a bit], recommended by Rossi Luo</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>* <ins style="font-weight: bold; text-decoration: none;">[book] [http://www.math.dartmouth.edu/~prob/prob/prob.pdf Grinstead and Snell's Introduction to Probability] (downloadable pdf), recommended by Ryan</ins></div></td></tr>
<tr><td colspan="2" class="diff-side-deleted"></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div> </div></td></tr>
<tr><td colspan="2" class="diff-side-deleted"></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;"> </ins>[paper] [http://dl.acm.org/citation.cfm?id=1553488 Supervised learning from multiple experts: whom to trust when everyone lies a bit], recommended by Rossi Luo</div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* [paper] [http://statistics.berkeley.edu/sites/default/files/tech-reports/790.pdf Measuring Reproducibility of High-throughput Experiments], recommended by Rossi Luo</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* [paper] [http://statistics.berkeley.edu/sites/default/files/tech-reports/790.pdf Measuring Reproducibility of High-throughput Experiments], recommended by Rossi Luo</div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* [practical] [http://depts.washington.edu/aimgroup/proj/ps4hci/ Practical Statistics for HCI], independent study modules by Jacob Wobbrock at UW</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* [practical] [http://depts.washington.edu/aimgroup/proj/ps4hci/ Practical Statistics for HCI], independent study modules by Jacob Wobbrock at UW</div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* [practical] [[Vrl Statistics Tutorial]]</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* [practical] [[Vrl Statistics Tutorial]]</div></td></tr>
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Ryan Cabeen
http://vrl.cs.brown.edu/wiki/index.php?title=Statistics_And_Graphs&diff=6408&oldid=prev
Ryan Cabeen at 19:45, 29 August 2013
2013-08-29T19:45:47Z
<p></p>
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<td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">Revision as of 19:45, 29 August 2013</td>
</tr><tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l5">Line 5:</td>
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<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* [book] [http://www.amazon.com/The-Essence-Multivariate-Thinking-Applications/dp/0805837302/ref=sr_1_fkmr1_1?ie=UTF8&qid=1377805278&sr=8-1-fkmr1&keywords=he+Essence+of+Multivariate+Thinking Essence of Multivariate Thinking], recommended by Stephen Correia</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* [book] [http://www.amazon.com/The-Essence-Multivariate-Thinking-Applications/dp/0805837302/ref=sr_1_fkmr1_1?ie=UTF8&qid=1377805278&sr=8-1-fkmr1&keywords=he+Essence+of+Multivariate+Thinking Essence of Multivariate Thinking], recommended by Stephen Correia</div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* [book] [http://www.amazon.com/Using-Multivariate-Statistics-Barbara-Tabachnick/dp/0205849571/ref=sr_1_1?s=books&ie=UTF8&qid=1377274046&sr=1-1&keywords=tabachnik+and+fidell Using Multivariate Statistics], recommended by Stephen Correia</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* [book] [http://www.amazon.com/Using-Multivariate-Statistics-Barbara-Tabachnick/dp/0205849571/ref=sr_1_1?s=books&ie=UTF8&qid=1377274046&sr=1-1&keywords=tabachnik+and+fidell Using Multivariate Statistics], recommended by Stephen Correia</div></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div> </div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">* [book] [http://www.amazon.com/Pattern-Recognition-Learning-Information-Statistics/dp/0387310738 Pattern Recognition and Machine Learning], recommended by Ryan</ins></div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* [paper] [http://dl.acm.org/citation.cfm?id=1553488 Supervised learning from multiple experts: whom to trust when everyone lies a bit], recommended by Rossi Luo</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* [paper] [http://dl.acm.org/citation.cfm?id=1553488 Supervised learning from multiple experts: whom to trust when everyone lies a bit], recommended by Rossi Luo</div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* [paper] [http://statistics.berkeley.edu/sites/default/files/tech-reports/790.pdf Measuring Reproducibility of High-throughput Experiments], recommended by Rossi Luo</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* [paper] [http://statistics.berkeley.edu/sites/default/files/tech-reports/790.pdf Measuring Reproducibility of High-throughput Experiments], recommended by Rossi Luo</div></td></tr>
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Ryan Cabeen
http://vrl.cs.brown.edu/wiki/index.php?title=Statistics_And_Graphs&diff=6407&oldid=prev
Ryan Cabeen at 19:44, 29 August 2013
2013-08-29T19:44:34Z
<p></p>
<table style="background-color: #fff; color: #202122;" data-mw="interface">
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<td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">Revision as of 19:44, 29 August 2013</td>
</tr><tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l1">Line 1:</td>
<td colspan="2" class="diff-lineno">Line 1:</td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>Many good resources exist to help you analyze your data. Here are a few:</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>Many good resources exist to help you analyze your data. Here are a few:</div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* [book] "Discovering Statistics Using SPSS", available at [https://josiah.brown.edu/search/?searchtype=X&searcharg=discovering+statistics+with+spss&searchscope=07&SORT=D&SUBMIT=Search Brown libraries]. '''NOTE:''' The 2013 edition has been rebranded [http://www.amazon.com/Discovering-Statistics-using-IBM-SPSS/dp/1446249182 "Discovering Statistics with IBM SPSS Statistics"].</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* [book] "Discovering Statistics Using SPSS", available at [https://josiah.brown.edu/search/?searchtype=X&searcharg=discovering+statistics+with+spss&searchscope=07&SORT=D&SUBMIT=Search Brown libraries]. '''NOTE:''' The 2013 edition has been rebranded [http://www.amazon.com/Discovering-Statistics-using-IBM-SPSS/dp/1446249182 "Discovering Statistics with IBM SPSS Statistics"].</div></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>* [book] [http://www-stat.stanford.edu/~tibs/ElemStatLearn/ Elements of Statistical Learning], recommended by Rossi Luo and Erik Sudderth</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>* [book] [http://www-stat.stanford.edu/~tibs/ElemStatLearn/ Elements of Statistical Learning] <ins style="font-weight: bold; text-decoration: none;">(downloadable pdf)</ins>, recommended by Rossi Luo and Erik Sudderth</div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* [book] [http://www.amazon.com/Machine-Learning-Probabilistic-Perspective-Computation/dp/0262018020 Machine Learning: A Probabilistic Perspective], recommended by Erik Sudderth</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* [book] [http://www.amazon.com/Machine-Learning-Probabilistic-Perspective-Computation/dp/0262018020 Machine Learning: A Probabilistic Perspective], recommended by Erik Sudderth</div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* [book] [http://www.amazon.com/The-Essence-Multivariate-Thinking-Applications/dp/0805837302/ref=sr_1_fkmr1_1?ie=UTF8&qid=1377805278&sr=8-1-fkmr1&keywords=he+Essence+of+Multivariate+Thinking Essence of Multivariate Thinking], recommended by Stephen Correia</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* [book] [http://www.amazon.com/The-Essence-Multivariate-Thinking-Applications/dp/0805837302/ref=sr_1_fkmr1_1?ie=UTF8&qid=1377805278&sr=8-1-fkmr1&keywords=he+Essence+of+Multivariate+Thinking Essence of Multivariate Thinking], recommended by Stephen Correia</div></td></tr>
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Ryan Cabeen
http://vrl.cs.brown.edu/wiki/index.php?title=Statistics_And_Graphs&diff=6406&oldid=prev
Ryan Cabeen at 19:44, 29 August 2013
2013-08-29T19:44:02Z
<p></p>
<table style="background-color: #fff; color: #202122;" data-mw="interface">
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<td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">← Older revision</td>
<td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">Revision as of 19:44, 29 August 2013</td>
</tr><tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l1">Line 1:</td>
<td colspan="2" class="diff-lineno">Line 1:</td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>Many good resources exist to help you analyze your data. Here are a few:</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>Many good resources exist to help you analyze your data. Here are a few:</div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* [book] "Discovering Statistics Using SPSS", available at [https://josiah.brown.edu/search/?searchtype=X&searcharg=discovering+statistics+with+spss&searchscope=07&SORT=D&SUBMIT=Search Brown libraries]. '''NOTE:''' The 2013 edition has been rebranded [http://www.amazon.com/Discovering-Statistics-using-IBM-SPSS/dp/1446249182 "Discovering Statistics with IBM SPSS Statistics"].</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* [book] "Discovering Statistics Using SPSS", available at [https://josiah.brown.edu/search/?searchtype=X&searcharg=discovering+statistics+with+spss&searchscope=07&SORT=D&SUBMIT=Search Brown libraries]. '''NOTE:''' The 2013 edition has been rebranded [http://www.amazon.com/Discovering-Statistics-using-IBM-SPSS/dp/1446249182 "Discovering Statistics with IBM SPSS Statistics"].</div></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>* [book] [http://www-stat.stanford.edu/~tibs/ElemStatLearn/ Elements of Statistical Learning], recommended by <del style="font-weight: bold; text-decoration: none;">ROssi </del>Luo and Erik Sudderth</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>* [book] [http://www-stat.stanford.edu/~tibs/ElemStatLearn/ Elements of Statistical Learning], recommended by <ins style="font-weight: bold; text-decoration: none;">Rossi </ins>Luo and Erik Sudderth</div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* [book] [http://www.amazon.com/Machine-Learning-Probabilistic-Perspective-Computation/dp/0262018020 Machine Learning: A Probabilistic Perspective], recommended by Erik Sudderth</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* [book] [http://www.amazon.com/Machine-Learning-Probabilistic-Perspective-Computation/dp/0262018020 Machine Learning: A Probabilistic Perspective], recommended by Erik Sudderth</div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* [book] [http://www.amazon.com/The-Essence-Multivariate-Thinking-Applications/dp/0805837302/ref=sr_1_fkmr1_1?ie=UTF8&qid=1377805278&sr=8-1-fkmr1&keywords=he+Essence+of+Multivariate+Thinking Essence of Multivariate Thinking], recommended by Stephen Correia</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* [book] [http://www.amazon.com/The-Essence-Multivariate-Thinking-Applications/dp/0805837302/ref=sr_1_fkmr1_1?ie=UTF8&qid=1377805278&sr=8-1-fkmr1&keywords=he+Essence+of+Multivariate+Thinking Essence of Multivariate Thinking], recommended by Stephen Correia</div></td></tr>
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Ryan Cabeen
http://vrl.cs.brown.edu/wiki/index.php?title=Statistics_And_Graphs&diff=6405&oldid=prev
Ryan Cabeen at 19:43, 29 August 2013
2013-08-29T19:43:46Z
<p></p>
<table style="background-color: #fff; color: #202122;" data-mw="interface">
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<tr class="diff-title" lang="en">
<td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">← Older revision</td>
<td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">Revision as of 19:43, 29 August 2013</td>
</tr><tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l1">Line 1:</td>
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<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>Many good resources exist to help you analyze your data. Here are a few:</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>Many good resources exist to help you analyze your data. Here are a few:</div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* [book] "Discovering Statistics Using SPSS", available at [https://josiah.brown.edu/search/?searchtype=X&searcharg=discovering+statistics+with+spss&searchscope=07&SORT=D&SUBMIT=Search Brown libraries]. '''NOTE:''' The 2013 edition has been rebranded [http://www.amazon.com/Discovering-Statistics-using-IBM-SPSS/dp/1446249182 "Discovering Statistics with IBM SPSS Statistics"].</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* [book] "Discovering Statistics Using SPSS", available at [https://josiah.brown.edu/search/?searchtype=X&searcharg=discovering+statistics+with+spss&searchscope=07&SORT=D&SUBMIT=Search Brown libraries]. '''NOTE:''' The 2013 edition has been rebranded [http://www.amazon.com/Discovering-Statistics-using-IBM-SPSS/dp/1446249182 "Discovering Statistics with IBM SPSS Statistics"].</div></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div><del style="font-weight: bold; text-decoration: none;">* [practical] [http://depts.washington.edu/aimgroup/proj/ps4hci/ Practical Statistics for HCI], independent study modules by Jacob Wobbrock at UW</del></div></td><td colspan="2" class="diff-side-added"></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div><del style="font-weight: bold; text-decoration: none;">* [practical] [[Vrl Statistics Tutorial]]</del></div></td><td colspan="2" class="diff-side-added"></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div><del style="font-weight: bold; text-decoration: none;">* [paper] [http://dl.acm.org/citation.cfm?id=1553488 Supervised learning from multiple experts: whom to trust when everyone lies a bit], recommended by Rossi Luo</del></div></td><td colspan="2" class="diff-side-added"></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div><del style="font-weight: bold; text-decoration: none;">* [paper] [http://statistics.berkeley.edu/sites/default/files/tech-reports/790.pdf Measuring Reproducibility of High-throughput Experiments], recommended by Rossi Luo</del></div></td><td colspan="2" class="diff-side-added"></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* [book] [http://www-stat.stanford.edu/~tibs/ElemStatLearn/ Elements of Statistical Learning], recommended by ROssi Luo and Erik Sudderth</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* [book] [http://www-stat.stanford.edu/~tibs/ElemStatLearn/ Elements of Statistical Learning], recommended by ROssi Luo and Erik Sudderth</div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* [book] [http://www.amazon.com/Machine-Learning-Probabilistic-Perspective-Computation/dp/0262018020 Machine Learning: A Probabilistic Perspective], recommended by Erik Sudderth</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* [book] [http://www.amazon.com/Machine-Learning-Probabilistic-Perspective-Computation/dp/0262018020 Machine Learning: A Probabilistic Perspective], recommended by Erik Sudderth</div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* [book] [http://www.amazon.com/The-Essence-Multivariate-Thinking-Applications/dp/0805837302/ref=sr_1_fkmr1_1?ie=UTF8&qid=1377805278&sr=8-1-fkmr1&keywords=he+Essence+of+Multivariate+Thinking Essence of Multivariate Thinking], recommended by Stephen Correia</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* [book] [http://www.amazon.com/The-Essence-Multivariate-Thinking-Applications/dp/0805837302/ref=sr_1_fkmr1_1?ie=UTF8&qid=1377805278&sr=8-1-fkmr1&keywords=he+Essence+of+Multivariate+Thinking Essence of Multivariate Thinking], recommended by Stephen Correia</div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* [book] [http://www.amazon.com/Using-Multivariate-Statistics-Barbara-Tabachnick/dp/0205849571/ref=sr_1_1?s=books&ie=UTF8&qid=1377274046&sr=1-1&keywords=tabachnik+and+fidell Using Multivariate Statistics], recommended by Stephen Correia</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* [book] [http://www.amazon.com/Using-Multivariate-Statistics-Barbara-Tabachnick/dp/0205849571/ref=sr_1_1?s=books&ie=UTF8&qid=1377274046&sr=1-1&keywords=tabachnik+and+fidell Using Multivariate Statistics], recommended by Stephen Correia</div></td></tr>
<tr><td colspan="2" class="diff-side-deleted"></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;"></ins></div></td></tr>
<tr><td colspan="2" class="diff-side-deleted"></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">* [paper] [http://dl.acm.org/citation.cfm?id=1553488 Supervised learning from multiple experts: whom to trust when everyone lies a bit], recommended by Rossi Luo</ins></div></td></tr>
<tr><td colspan="2" class="diff-side-deleted"></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">* [paper] [http://statistics.berkeley.edu/sites/default/files/tech-reports/790.pdf Measuring Reproducibility of High-throughput Experiments], recommended by Rossi Luo</ins></div></td></tr>
<tr><td colspan="2" class="diff-side-deleted"></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;"></ins></div></td></tr>
<tr><td colspan="2" class="diff-side-deleted"></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">* [practical] [http://depts.washington.edu/aimgroup/proj/ps4hci/ Practical Statistics for HCI], independent study modules by Jacob Wobbrock at UW</ins></div></td></tr>
<tr><td colspan="2" class="diff-side-deleted"></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">* [practical] [[Vrl Statistics Tutorial]]</ins></div></td></tr>
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Ryan Cabeen
http://vrl.cs.brown.edu/wiki/index.php?title=Statistics_And_Graphs&diff=6404&oldid=prev
Ryan Cabeen at 19:43, 29 August 2013
2013-08-29T19:43:13Z
<p></p>
<table style="background-color: #fff; color: #202122;" data-mw="interface">
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<td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">← Older revision</td>
<td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">Revision as of 19:43, 29 August 2013</td>
</tr><tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l1">Line 1:</td>
<td colspan="2" class="diff-lineno">Line 1:</td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>Many good resources exist to help you analyze your data. Here are a few:</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>Many good resources exist to help you analyze your data. Here are a few:</div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* [book] "Discovering Statistics Using SPSS", available at [https://josiah.brown.edu/search/?searchtype=X&searcharg=discovering+statistics+with+spss&searchscope=07&SORT=D&SUBMIT=Search Brown libraries]. '''NOTE:''' The 2013 edition has been rebranded [http://www.amazon.com/Discovering-Statistics-using-IBM-SPSS/dp/1446249182 "Discovering Statistics with IBM SPSS Statistics"].</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* [book] "Discovering Statistics Using SPSS", available at [https://josiah.brown.edu/search/?searchtype=X&searcharg=discovering+statistics+with+spss&searchscope=07&SORT=D&SUBMIT=Search Brown libraries]. '''NOTE:''' The 2013 edition has been rebranded [http://www.amazon.com/Discovering-Statistics-using-IBM-SPSS/dp/1446249182 "Discovering Statistics with IBM SPSS Statistics"].</div></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>* [<del style="font-weight: bold; text-decoration: none;">online</del>] [http://depts.washington.edu/aimgroup/proj/ps4hci/ Practical Statistics for HCI], independent study modules by Jacob Wobbrock at UW</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>* [<ins style="font-weight: bold; text-decoration: none;">practical</ins>] [http://depts.washington.edu/aimgroup/proj/ps4hci/ Practical Statistics for HCI], independent study modules by Jacob Wobbrock at UW</div></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>* [<del style="font-weight: bold; text-decoration: none;">tutorial</del>] [[Vrl Statistics Tutorial]]</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>* [<ins style="font-weight: bold; text-decoration: none;">practical</ins>] [[Vrl Statistics Tutorial]]</div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* [paper] [http://dl.acm.org/citation.cfm?id=1553488 Supervised learning from multiple experts: whom to trust when everyone lies a bit], recommended by Rossi Luo</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* [paper] [http://dl.acm.org/citation.cfm?id=1553488 Supervised learning from multiple experts: whom to trust when everyone lies a bit], recommended by Rossi Luo</div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* [paper] [http://statistics.berkeley.edu/sites/default/files/tech-reports/790.pdf Measuring Reproducibility of High-throughput Experiments], recommended by Rossi Luo</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* [paper] [http://statistics.berkeley.edu/sites/default/files/tech-reports/790.pdf Measuring Reproducibility of High-throughput Experiments], recommended by Rossi Luo</div></td></tr>
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Ryan Cabeen
http://vrl.cs.brown.edu/wiki/index.php?title=Statistics_And_Graphs&diff=6403&oldid=prev
Ryan Cabeen at 19:42, 29 August 2013
2013-08-29T19:42:40Z
<p></p>
<table style="background-color: #fff; color: #202122;" data-mw="interface">
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<td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">Revision as of 19:42, 29 August 2013</td>
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<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* [book] "Discovering Statistics Using SPSS", available at [https://josiah.brown.edu/search/?searchtype=X&searcharg=discovering+statistics+with+spss&searchscope=07&SORT=D&SUBMIT=Search Brown libraries]. '''NOTE:''' The 2013 edition has been rebranded [http://www.amazon.com/Discovering-Statistics-using-IBM-SPSS/dp/1446249182 "Discovering Statistics with IBM SPSS Statistics"].</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* [book] "Discovering Statistics Using SPSS", available at [https://josiah.brown.edu/search/?searchtype=X&searcharg=discovering+statistics+with+spss&searchscope=07&SORT=D&SUBMIT=Search Brown libraries]. '''NOTE:''' The 2013 edition has been rebranded [http://www.amazon.com/Discovering-Statistics-using-IBM-SPSS/dp/1446249182 "Discovering Statistics with IBM SPSS Statistics"].</div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* [online] [http://depts.washington.edu/aimgroup/proj/ps4hci/ Practical Statistics for HCI], independent study modules by Jacob Wobbrock at UW</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* [online] [http://depts.washington.edu/aimgroup/proj/ps4hci/ Practical Statistics for HCI], independent study modules by Jacob Wobbrock at UW</div></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div> </div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>* [tutorial] [[<ins style="font-weight: bold; text-decoration: none;">Vrl </ins>Statistics Tutorial]]</div></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>* [tutorial] [[Statistics Tutorial]]</div></td><td colspan="2" class="diff-side-added"></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* [paper] [http://dl.acm.org/citation.cfm?id=1553488 Supervised learning from multiple experts: whom to trust when everyone lies a bit], recommended by Rossi Luo</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* [paper] [http://dl.acm.org/citation.cfm?id=1553488 Supervised learning from multiple experts: whom to trust when everyone lies a bit], recommended by Rossi Luo</div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* [paper] [http://statistics.berkeley.edu/sites/default/files/tech-reports/790.pdf Measuring Reproducibility of High-throughput Experiments], recommended by Rossi Luo</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* [paper] [http://statistics.berkeley.edu/sites/default/files/tech-reports/790.pdf Measuring Reproducibility of High-throughput Experiments], recommended by Rossi Luo</div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* [book] [http://www-stat.stanford.edu/~tibs/ElemStatLearn/ Elements of Statistical Learning], recommended by ROssi Luo and Erik Sudderth</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* [book] [http://www-stat.stanford.edu/~tibs/ElemStatLearn/ Elements of Statistical Learning], recommended by ROssi Luo and Erik Sudderth</div></td></tr>
<tr><td colspan="2" class="diff-side-deleted"></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">* [book] [http://www.amazon.com/Machine-Learning-Probabilistic-Perspective-Computation/dp/0262018020 Machine Learning: A Probabilistic Perspective], recommended by Erik Sudderth</ins></div></td></tr>
<tr><td colspan="2" class="diff-side-deleted"></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">* [book] [http://www.amazon.com/The-Essence-Multivariate-Thinking-Applications/dp/0805837302/ref=sr_1_fkmr1_1?ie=UTF8&qid=1377805278&sr=8-1-fkmr1&keywords=he+Essence+of+Multivariate+Thinking Essence of Multivariate Thinking], recommended by Stephen Correia</ins></div></td></tr>
<tr><td colspan="2" class="diff-side-deleted"></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">* [book] [http://www.amazon.com/Using-Multivariate-Statistics-Barbara-Tabachnick/dp/0205849571/ref=sr_1_1?s=books&ie=UTF8&qid=1377274046&sr=1-1&keywords=tabachnik+and+fidell Using Multivariate Statistics], recommended by Stephen Correia</ins></div></td></tr>
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Ryan Cabeen
http://vrl.cs.brown.edu/wiki/index.php?title=Statistics_And_Graphs&diff=6402&oldid=prev
Ryan Cabeen at 19:39, 29 August 2013
2013-08-29T19:39:14Z
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<td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">Revision as of 19:39, 29 August 2013</td>
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<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* [tutorial] [[Statistics Tutorial]]</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* [tutorial] [[Statistics Tutorial]]</div></td></tr>
<tr><td colspan="2" class="diff-side-deleted"></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">* [paper] [http://dl.acm.org/citation.cfm?id=1553488 Supervised learning from multiple experts: whom to trust when everyone lies a bit], recommended by Rossi Luo</ins></div></td></tr>
<tr><td colspan="2" class="diff-side-deleted"></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">* [paper] [http://statistics.berkeley.edu/sites/default/files/tech-reports/790.pdf Measuring Reproducibility of High-throughput Experiments], recommended by Rossi Luo</ins></div></td></tr>
<tr><td colspan="2" class="diff-side-deleted"></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">* [book] [http://www-stat.stanford.edu/~tibs/ElemStatLearn/ Elements of Statistical Learning], recommended by ROssi Luo and Erik Sudderth</ins></div></td></tr>
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Ryan Cabeen