OneWayANOVA.pairwise: Pairwise Comparison for Multiple-Sample One-Way ANOVA
In TrialSize: R Functions for Chapter 3,4,6,7,9,10,11,12,14,15 of Sample Size Calculation in Clinical Research
Description
Usage
Arguments
References
View source: R/OneWayANOVA.pairwise.R
Description
Ho: μ_i is equal to μ_j
Ha: μ_i is not equal to μ_j
The test is comparing the means among treatments. There are tau pair comparisons of interested. Adjusted the multiple comparison by Bonferroni method,
Usage
1
OneWayANOVA.pairwise(alpha, beta, tau, sigma, margin)
Arguments
alpha
significance level
beta
power = 1-beta
tau
there are tau pair comparisons
sigma
standard deviation
margin
margin=μ_i-μ_j
the difference between the true mean response of group i μ_i and group j μ_j
References
Chow SC, Shao J, Wang H. Sample Size Calculation in Clinical Research. New York: Marcel Dekker, 2003
TrialSize documentation built on July 8, 2020, 7:19 p.m.
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Description Usage Arguments References
View source: R/OneWayANOVA.pairwise.R
Description
Ho: μ_i is equal to μ_j Ha: μ_i is not equal to μ_j
The test is comparing the means among treatments. There are tau pair comparisons of interested. Adjusted the multiple comparison by Bonferroni method,
Usage
1 | OneWayANOVA.pairwise(alpha, beta, tau, sigma, margin)
|
Arguments
alpha |
significance level |
beta |
power = 1-beta |
tau |
there are tau pair comparisons |
sigma |
standard deviation |
margin |
margin=μ_i-μ_j the difference between the true mean response of group i μ_i and group j μ_j |
References
Chow SC, Shao J, Wang H. Sample Size Calculation in Clinical Research. New York: Marcel Dekker, 2003
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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