Difference between revisions of "APB-Data-Correlation"
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Correlation | Correlation | ||
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(Correlation: measurement, significance, Pearson. MIC as alternative.) | (Correlation: measurement, significance, Pearson. MIC as alternative.) | ||
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<b>Abstract:</b><br /> | <b>Abstract:</b><br /> | ||
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<b>Deliverables:</b><br /> | <b>Deliverables:</b><br /> | ||
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− | < | + | <li><b>Insights</b>: If you find something particularly noteworthy about this unit, make a note in your [[ABC-Insights|'''insights!''' page]].</li> |
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+ | === Evaluation === | ||
+ | <b>Evaluation: NA</b><br /> | ||
+ | <div style="margin-left: 2rem;">This unit is not evaluated for course marks.</div> | ||
== Contents == | == Contents == | ||
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See also https://www.r-bloggers.com/maximal-information-coefficient-part-ii/ | See also https://www.r-bloggers.com/maximal-information-coefficient-part-ii/ | ||
== Self-evaluation == | == Self-evaluation == | ||
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== Further reading, links and resources == | == Further reading, links and resources == | ||
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<div class="reference-box">[http://www.ncbi.nlm.nih.gov]</div> | <div class="reference-box">[http://www.ncbi.nlm.nih.gov]</div> | ||
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+ | == Notes == | ||
+ | <references /> | ||
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*0.1 First stub | *0.1 First stub | ||
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Latest revision as of 01:41, 23 September 2020
Correlation
(Correlation: measurement, significance, Pearson. MIC as alternative.)
Abstract:
This unit discusses correlation between data points in 2 and higher dimensions. Calculation, significance and interpretation of Pearson correlation coefficiants are discussed. As an alternative, the unit presents the Maximum Information Coefficient (MIC) as made available in the minerva
package.
Objectives: |
Outcomes: |
Deliverables:
Prerequisites:
Evaluation
Evaluation: NA
Contents
See also https://www.r-bloggers.com/maximal-information-coefficient-part-ii/
Self-evaluation
Further reading, links and resources
Notes
About ...
Author:
- Boris Steipe <boris.steipe@utoronto.ca>
Created:
- 2017-09-17
Modified:
- 2017-09-18
Version:
- 0.1
Version history:
- 0.1 First stub
This copyrighted material is licensed under a Creative Commons Attribution 4.0 International License. Follow the link to learn more.