Difference between revisions of "APB-Data-Correlation"

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Correlation
 
Correlation
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(Correlation: measurement, significance, Pearson. MIC as alternative.)
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<b>Keywords:</b>&nbsp;
 
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Correlation: measurement, significance, Pearson. MIC as alternative.
 
 
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__TOC__
 
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<b>Abstract:</b><br />
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== Abstract ==
 
 
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<!-- included from "./components/APB-Data-Correlation.components.txt", section: "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 <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 ... ==
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=== Prerequisites ===
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<b>Objectives:</b><br />
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*[[APB-Data-Exploration|APB-Data-Exploration (Milestone Unit: Exploratory Data Analysis)]]
 
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=== Objectives ===
 
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<b>Outcomes:</b><br />
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=== Outcomes ===
 
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=== Deliverables ===
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<b>Deliverables:</b><br />
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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>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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<b>Prerequisites:</b><br />
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*[[APB-Data-Exploration|APB-Data-Exploration (Milestone Unit: Exploratory Data Analysis)]]
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== Contents ==
 
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See also https://www.r-bloggers.com/maximal-information-coefficient-part-ii/
 
  
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== Further reading, links and resources ==
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== Notes ==
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== Contents ==
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See also https://www.r-bloggers.com/maximal-information-coefficient-part-ii/
 
== Self-evaluation ==
 
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== Further reading, links and resources ==
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Revision as of 19:31, 26 January 2018

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:

  • 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.

Prerequisites:


 


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.


 



 


Contents

See also https://www.r-bloggers.com/maximal-information-coefficient-part-ii/

Self-evaluation

Notes

Further reading, links and resources

 



 

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

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