Understanding and Applying Basic Statistical Methods Using R

INDEX

1. adaptive kernel density estimator
2. additive model
3. adjacent values
4. analysis of covariance
5. analysis of variance
6. ANCOVA
7. ANOVA
   1. levels
8. bar plots
9. BDM
   1. relative effect
10. Beal's method
11. Benjamini– Hochberg method
12. binary
13. binomial coefficient
14. binomial probability function
15. bootstrap sample
16. bootstrap-t
17. boundaries
18. boxplot
19. boxplot rule
20. BPRM method
21. Brown– Forsythe test
22. central limit theorem
23. central tendency
24. class intervals
25. Cliff's Method
26. coefficient of determination
27. Cohen's d
    1. robust version
28. confidence coefficient
29. confidence interval
    1. equal-tailed
    2. symmetric
    3. trimmed mean
    4. Tukey– McLaughlin
30. confidence level
31. contaminated normal
32. continuity correction
33. control
    1. comparisons with
34. correlation
    1. Kendall's tau
    2. Pearson
    3. skipped
    4. Spearman
    5. Winsorized
35. covariate
36. critical region
37. critical value
38. cross-product ratio
39. CSV file
40. cumulative distribution function
41. data frame
42. density function
43. dependence
44. dependent variable
45. description
46. descriptive measures
47. descriptive statistics
48. design
49. deviation scores
50. difference scores
51. dispersion
52. distribution
    1. Gaussian
    2. normal
53. distribution free
54. distributions, marginal
55. e
56. effect size
    1. Cohen's d
    2. common language
    3. explanatory
    4. probabilistic
57. effect, relative
58. empirical cumulative distribution function
59. empirical distribution
60. error bars
61. estimate
62. estimator
    1. unbiased
63. exp
64. expected value
65. explanatory variable
66. exponential function
67. false discovery rate
68. familywise error
69. five number summary
70. formula
71. frequency
72. Friedman's test
73. FWE
74. grand mean
75. Harrell– Davis estimator
76. heavy tails
77. heteroscedasticity ...