Categorical Data Analysis with Graphics
Michael Friendly
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Figures
- 1. von Bortkiewicz's data
- 2. Mosteller & Wallace data
- 3. Poissonness plots for two discrete
distributions
- 4. Ord plots for four discrete
distributions
- 5. General association (sieve
diagram)
- 6. Linear association (sieve diagram)
- 7. Expected frequencies under
independence
- 8. Sieve diagram for hair-eye data
- 9. Vision classification data for 7477
women
- 10. Data from the US Draft Lottery
- 11. Association plot for hair-color, eye-
color
- 12. Agreement chart for husbands and wives
sexual fun
- 13. Weighted agreement chart.
- 14. Weighted agreement chart.
- 15. Four-fold display for Berkeley
admissions
- 16. Fourfold display of Berkeley
admissions, by department
- 17. Condensed mosaic for Hair-color, Eye-
color data
- 18. Condensed mosaic, reordered and
shaded
- 19. Mosaic display for hair color, eye
color, and sex
- 20. Mosaic display for hair color, eye
color, and sex
- 21. Correspondence analysis solution for
Hair color, Eye color data
- 22. Two-dimensional correspondence
analysis solution for the [SA] [M] multiple table
- 23. Mosaic display for sex and age
- 24. Mosaic display showing deviations
from model [SA] [M]
- 25. Predicted probabilities of
improvement
- 26. Quantitative predictor: Linear and
Logit regression on age
- 27. Logit regression on age and
treatment
- 28. Estimated effects of age, treatment
and sex
- 29. Proportional odds model
- 30. Predicted probabilities for the
proportional odds model
- 31. Log odds of working vs. not working,
and of fulltime work vs. parttime work
- 32. Influence plot for arthritis data
- 33. Changes in chi-square vs. predicted
probability
- 34. Observed log odds
- 35. Fitted logits for main effects
model
- 36. Fitted logits for linear effect of
Conservativism
- 37. Fitting separate slopes
- 38. Influence plot for loglinear model
[AD, GD]
- 39. Standard errors of residuals decrease
with expected frequency
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© 1995
Michael Friendly
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