Difference between revisions of "APB-Data-Correlation"
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== Abstract == | == Abstract == | ||
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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 <code>minerva</code> package. | 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 <code>minerva</code> package. | ||
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== This unit ... == | == This unit ... == | ||
=== Prerequisites === | === Prerequisites === | ||
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*[[APB-Data-Exploration|APB-Data-Exploration (Milestone Unit: Exploratory Data Analysis)]] | *[[APB-Data-Exploration|APB-Data-Exploration (Milestone Unit: Exploratory Data Analysis)]] | ||
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=== Objectives === | === Objectives === | ||
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=== Outcomes === | === Outcomes === | ||
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=== Deliverables === | === Deliverables === | ||
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*<b>Time management</b>: Before you begin, estimate how long it will take you to complete this unit. Then, record in your course journal: the number of hours you estimated, the number of hours you worked on the unit, and the amount of time that passed between start and completion of this unit. | *<b>Time management</b>: Before you begin, estimate how long it will take you to complete this unit. Then, record in your course journal: the number of hours you estimated, the number of hours you worked on the unit, and the amount of time that passed between start and completion of this unit. | ||
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*<b>Journal</b>: Document your progress in your [[FND-Journal|Course Journal]]. Some tasks may ask you to include specific items in your journal. Don't overlook these. | *<b>Journal</b>: Document your progress in your [[FND-Journal|Course Journal]]. Some tasks may ask you to include specific items in your journal. Don't overlook these. | ||
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*<b>Insights</b>: If you find something particularly noteworthy about this unit, make a note in your [[ABC-Insights|'''insights!''' page]]. | *<b>Insights</b>: If you find something particularly noteworthy about this unit, make a note in your [[ABC-Insights|'''insights!''' page]]. | ||
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== 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/ | ||
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== Notes == | == Notes == | ||
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== Self-evaluation == | == Self-evaluation == | ||
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=== Question 1=== | === Question 1=== | ||
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[[Category:BCB410-units]] | [[Category:BCB410-units]] | ||
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{{CC-BY}} | {{CC-BY}} | ||
Revision as of 01:02, 6 January 2018
Correlation
Keywords: Correlation: measurement, significance, Pearson. MIC as alternative.
Contents
Caution!
This unit is under development. There is some contents here but it is incomplete and/or may change significantly: links may lead to nowhere, the contents is likely going to be rearranged, and objectives, deliverables etc. may be incomplete or missing. Do not work with this material until it is updated to "live" status.
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.
This unit ...
Prerequisites
Objectives
...
Outcomes
...
Deliverables
- Time management: Before you begin, estimate how long it will take you to complete this unit. Then, record in your course journal: the number of hours you estimated, the number of hours you worked on the unit, and the amount of time that passed between start and completion of this unit.
- Journal: Document your progress in your Course Journal. Some tasks may ask you to include specific items in your journal. Don't overlook these.
- Insights: If you find something particularly noteworthy about this unit, make a note in your insights! page.
Contents
See also https://www.r-bloggers.com/maximal-information-coefficient-part-ii/
Further reading, links and resources
Notes
Self-evaluation
If in doubt, ask! If anything about this learning unit is not clear to you, do not proceed blindly but ask for clarification. Post your question on the course mailing list: others are likely to have similar problems. Or send an email to your instructor.
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.
