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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