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Statistical Analysis with R and Mind Mapping automation
This document discusses using mind mapping to visualize statistical analysis results from R. Mind mapping creates a tree structure that groups related elements and links information for improved visualization over linear formats. An example analyzes sports-related concussion data using R and presents the results in an automatically generated mind map containing histograms, density plots, correlations, scatterplots and other analyses. The mind map can then be commented on by teachers or researchers. The document concludes that while mind maps can be created manually, automated mind mapping is preferable for visualizing complex statistical analyses.
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Statistical Analysis with R and Mind Mapping automation
- 1. Statistical Analysis withR and Mind Mapping automation Image courtesy of jscreationzs / FreeDigitalPhotos.net
- 2. Information overload inStatistical 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. Mind Mapping automationas 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. Example • Investigating theeffects 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. Caution • This isjust 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. Step 1 Presentation ofthe results (C) Infoseg 2013
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- 8. Description of theanalysis (C) Infoseg 2013
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- 10. Data Set used(impact) (C) Infoseg 2013
- 11. Basic information ofthe Data Set (C) Infoseg 2013
- 12. Spreadsheet containing theData Set (C) Infoseg 2013
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- 14. General description anddescription by condition (C) Infoseg 2013
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- 16. Basic analysis ofthe Data Set (R describe) (C) Infoseg 2013
- 17. R describe ofthe “concussed” group (C) Infoseg 2013
- 18. R describe ofthe “control” group (C) Infoseg 2013
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- 20. Control histograms atbaseline (C) Infoseg 2013
- 21. Concussed histograms atbaseline (C) Infoseg 2013
- 22. Control histograms atretest (C) Infoseg 2013
- 23. Concussed histograms atretest (C) Infoseg 2013
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- 25. Concussed at retest (C)Infoseg 2013
- 26. Control at retest (C)Infoseg 2013
- 27. Comparison concussed versuscontrol (C) Infoseg 2013
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- 29. By order (baseline/ retest) (C) Infoseg 2013
- 30. By group (control/ concussed) (C) Infoseg 2013
- 31. Questions (only 1example) (C) Infoseg 2013
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- 35. Pre-injury versus Post-injury (C)Infoseg 2013
- 36. Scatterplot matrix Pre-injurybasic (C) Infoseg 2013
- 37. Scatterplot matrix Pre-injurycolor (C) Infoseg 2013
- 38. Scatterplot matrix Post-injurybasic and color (C) Infoseg 2013
- 39. 3D scatterplots Pre-injuryversus Post-injury (C) Infoseg 2013
- 40. R Scripts andData (C) Infoseg 2013
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- 43. Full Mind Mapas a PDF file Download Mind Map (Step 1) - PDF version (C) Infoseg 2013
- 44. Step 2 Comments addedby the teacher In this case Andrew Conway Senior Lecturer Department of Psychology Princeton University (C) Infoseg 2013
- 45. Type 1 Comments (C)Infoseg 2013
- 46. Type 2 Comments (C)Infoseg 2013
- 47. Comments about thecomments • 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
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- 49. Conclusion • Mind Mappingis 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. Image courtesy ofStuart Miles / FreeDigitalPhotos.net
- 51. Contact Information • JoséM. Guerrero • jm@infoseg.com • Mind Mapping automation • http://infoseg.com/mi_01_en.shtml