Difference between revisions of "APB-Data-Correlation"

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<div style="padding:5px; border:1px solid #000000; background-color:#f2fafa; font-size:300%; font-weight:400; color: #000000; width:100%;">
 
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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<b>Abstract:</b><br />
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== Abstract ==
 
 
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<!-- included from "../components/APB-Data-Correlation.components.wtxt", 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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<b>Outcomes:</b><br />
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<b>Deliverables:</b><br />
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<li><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.</li>
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<li><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.</li>
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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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<section end=deliverables />
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<section begin=prerequisites />
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<b>Prerequisites:</b><br />
 
*[[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 ===
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=== Outcomes ===
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=== 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.
 
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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.
 
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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]].
 
  
 
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=== Evaluation ===
 
=== Evaluation ===
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<b>Evaluation: NA</b><br />
 
<b>Evaluation: NA</b><br />
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:This unit is not evaluated for course marks.
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<div style="margin-left: 2rem;">This unit is not evaluated for course marks.</div>
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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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== Further reading, links and resources ==
 
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{{#pmid: 19957275}}
 
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<div class="reference-box">[http://www.ncbi.nlm.nih.gov]</div>
 
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== Notes ==
 
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== Self-evaluation ==
 
== Self-evaluation ==
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== Further reading, links and resources ==
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<div class="reference-box">[http://www.ncbi.nlm.nih.gov]</div>
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== Notes ==
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<references />
  
 
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<b>If in doubt, ask!</b> 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.
 
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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:

  • 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:


     


    This page is not currently being maintained since it is not part of active learning sections.


     



     


    Evaluation

    Evaluation: NA

    This unit is not evaluated for course marks.

    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

    CreativeCommonsBy.png This copyrighted material is licensed under a Creative Commons Attribution 4.0 International License. Follow the link to learn more.

    This page is not currently being maintained since it is not part of active learning sections.
    Retrieved from "http://steipe.biochemistry.utoronto.ca/abc/index.php?title=APB-Data-Correlation&oldid=11591"