Statistical Analysis with R
and Mind Mapping
automation

Image courtesy of jscreationzs
/ FreeDigitalPhotos.net
Information overload in Statistical Analysis

• Very powerful tools to generate statistical
information (R)
• Linear visua...
Mind Mapping automation as a possible solution
•
•
•
•
•
•
•
•
•
•

Tree structure
Grouping of related elements
Links betw...
Example
• Investigating the effects of sports-related
concussion
• Simulated data are based on an online
assessment tool c...
Caution
• This is just a very simple example
• Complexity can be increased to any level
• This can be done manually or (pr...
Step 1
Presentation of the results

(C) Infoseg 2013
Overview

(C) Infoseg 2013
Description of the analysis

(C) Infoseg 2013
“Basic” analysis

(C) Infoseg 2013
Data Set used (impact)

(C) Infoseg 2013
Basic information of the Data Set

(C) Infoseg 2013
Spreadsheet containing the Data Set

(C) Infoseg 2013
Variables used

(C) Infoseg 2013
General description and description by
condition

(C) Infoseg 2013
Description

(C) Infoseg 2013
Basic analysis of the Data Set
(R describe)

(C) Infoseg 2013
R describe of the “concussed” group

(C) Infoseg 2013
R describe of the “control” group

(C) Infoseg 2013
Histograms

(C) Infoseg 2013
Control histograms at baseline

(C) Infoseg 2013
Concussed histograms at baseline

(C) Infoseg 2013
Control histograms at retest

(C) Infoseg 2013
Concussed histograms at retest

(C) Infoseg 2013
Density Plots

(C) Infoseg 2013
Concussed at retest

(C) Infoseg 2013
Control at retest

(C) Infoseg 2013
Comparison concussed versus control

(C) Infoseg 2013
Correlational Analysis

(C) Infoseg 2013
By order (baseline / retest)

(C) Infoseg 2013
By group (control / concussed)

(C) Infoseg 2013
Questions (only 1 example)

(C) Infoseg 2013
Scatterplots

(C) Infoseg 2013
3 Types

(C) Infoseg 2013
Individual Pre-injury

(C) Infoseg 2013
Pre-injury versus Post-injury

(C) Infoseg 2013
Scatterplot matrix Pre-injury basic

(C) Infoseg 2013
Scatterplot matrix Pre-injury color

(C) Infoseg 2013
Scatterplot matrix Post-injury basic
and color

(C) Infoseg 2013
3D scatterplots Pre-injury versus Post-injury

(C) Infoseg 2013
R Scripts and Data

(C) Infoseg 2013
R Script

(C) Infoseg 2013
Data

(C) Infoseg 2013
Full Mind Map as a PDF file
Download Mind Map (Step 1) - PDF version

(C) Infoseg 2013
Step 2
Comments added by the teacher
In this case
Andrew Conway
Senior Lecturer
Department of Psychology
Princeton Univers...
Type 1 Comments

(C) Infoseg 2013
Type 2 Comments

(C) Infoseg 2013
Comments about the comments
• They have to be added manually by the
teacher
• There are several possible types of comments...
Conclusion

(C) Infoseg 2013
Conclusion
• Mind Mapping is a very interesting technique to
use in the visualization of Statistical Analysis
results
• Yo...
Image courtesy of Stuart Miles
/ FreeDigitalPhotos.net
Contact Information
• José M. Guerrero
• jm@infoseg.com
• Mind Mapping automation
• http://infoseg.com/mi_01_en.shtml
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Statistical Analysis with R and Mind Mapping automation

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Using Mind Mapping automation in the visualization of Statistical Analysis done with R

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Statistical Analysis with R and Mind Mapping automation

  1. 1. Statistical Analysis with R and Mind Mapping automation Image courtesy of jscreationzs / FreeDigitalPhotos.net
  2. 2. Information overload in Statistical Analysis • Very powerful tools to generate statistical information (R) • Linear visualization of the information • Lots of information in numerical and graphical form • No links between information elements (C) Infoseg 2013
  3. 3. Mind Mapping automation as a possible solution • • • • • • • • • • Tree structure Grouping of related elements Links between elements Visual elements to improve display Hyperlinks Automatic generation of the Maps Easy presentation of the information Multimedia capabilities A single compressed file Free viewer (C) Infoseg 2013
  4. 4. Example • Investigating the effects of sports-related concussion • Simulated data are based on an online assessment tool called IMPACT (http://www.impacttest.com) • Example taken from Coursera Statistics 1 course Princeton University (C) Infoseg 2013
  5. 5. Caution • This is just a very simple example • Complexity can be increased to any level • This can be done manually or (preferably) using Mind Mapping automation • The system can be used by teachers, students or researchers (C) Infoseg 2013
  6. 6. Step 1 Presentation of the results (C) Infoseg 2013
  7. 7. Overview (C) Infoseg 2013
  8. 8. Description of the analysis (C) Infoseg 2013
  9. 9. “Basic” analysis (C) Infoseg 2013
  10. 10. Data Set used (impact) (C) Infoseg 2013
  11. 11. Basic information of the Data Set (C) Infoseg 2013
  12. 12. Spreadsheet containing the Data Set (C) Infoseg 2013
  13. 13. Variables used (C) Infoseg 2013
  14. 14. General description and description by condition (C) Infoseg 2013
  15. 15. Description (C) Infoseg 2013
  16. 16. Basic analysis of the Data Set (R describe) (C) Infoseg 2013
  17. 17. R describe of the “concussed” group (C) Infoseg 2013
  18. 18. R describe of the “control” group (C) Infoseg 2013
  19. 19. Histograms (C) Infoseg 2013
  20. 20. Control histograms at baseline (C) Infoseg 2013
  21. 21. Concussed histograms at baseline (C) Infoseg 2013
  22. 22. Control histograms at retest (C) Infoseg 2013
  23. 23. Concussed histograms at retest (C) Infoseg 2013
  24. 24. Density Plots (C) Infoseg 2013
  25. 25. Concussed at retest (C) Infoseg 2013
  26. 26. Control at retest (C) Infoseg 2013
  27. 27. Comparison concussed versus control (C) Infoseg 2013
  28. 28. Correlational Analysis (C) Infoseg 2013
  29. 29. By order (baseline / retest) (C) Infoseg 2013
  30. 30. By group (control / concussed) (C) Infoseg 2013
  31. 31. Questions (only 1 example) (C) Infoseg 2013
  32. 32. Scatterplots (C) Infoseg 2013
  33. 33. 3 Types (C) Infoseg 2013
  34. 34. Individual Pre-injury (C) Infoseg 2013
  35. 35. Pre-injury versus Post-injury (C) Infoseg 2013
  36. 36. Scatterplot matrix Pre-injury basic (C) Infoseg 2013
  37. 37. Scatterplot matrix Pre-injury color (C) Infoseg 2013
  38. 38. Scatterplot matrix Post-injury basic and color (C) Infoseg 2013
  39. 39. 3D scatterplots Pre-injury versus Post-injury (C) Infoseg 2013
  40. 40. R Scripts and Data (C) Infoseg 2013
  41. 41. R Script (C) Infoseg 2013
  42. 42. Data (C) Infoseg 2013
  43. 43. Full Mind Map as a PDF file Download Mind Map (Step 1) - PDF version (C) Infoseg 2013
  44. 44. Step 2 Comments added by the teacher In this case Andrew Conway Senior Lecturer Department of Psychology Princeton University (C) Infoseg 2013
  45. 45. Type 1 Comments (C) Infoseg 2013
  46. 46. Type 2 Comments (C) Infoseg 2013
  47. 47. Comments about the comments • They have to be added manually by the teacher • There are several possible types of comments • All types can be used in a Mind Map (C) Infoseg 2013
  48. 48. Conclusion (C) Infoseg 2013
  49. 49. Conclusion • Mind Mapping is a very interesting technique to use in the visualization of Statistical Analysis results • You can do it manually (In case you have a lot of free time) • It is better to do it using Mind Mapping automation  (C) Infoseg 2013
  50. 50. Image courtesy of Stuart Miles / FreeDigitalPhotos.net
  51. 51. Contact Information • José M. Guerrero • jm@infoseg.com • Mind Mapping automation • http://infoseg.com/mi_01_en.shtml

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