Description Usage Arguments Value References Examples
Given an ANOVA model with r levels, we are interested in testing the pairwise mean differences (1 vs 2,...; 2 vs 3,... etc). We consider a weighted multiple hypothesis testing problem, where we allow different tests to get unequal type I errors, and in the meantime, we want to control the overall type I errors (familywise error rate; FWER) at a pre-specified level.
1 |
nr |
the sample sizes for each factor level. |
alpha |
overall significance level |
W |
the relative type I errors assigned to each comparison. |
critial values computed from Bonferroni correction
Tukey HSD approximate value (common to all)
weighted Tukey HSD critical values
overall familywise type I errors
individual test type I errors
Ling,S., Johnson,C., Ellermann,J., Eberly,L. and Wu,B. (2019) A generalized Tukey method for weighted multiple pairwise comparisons in an ANOVA model.
1 |
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