Nonpara.Independ: Test for independence for nonparametric study
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
Examples
View source: R/Nonpara.Independ.R
Description
Ho: P(x ≤ a ~and~ y ≤ b) = P( x ≤ a ) P(y ≤ b) for all a and b.
Ha: not equal
Usage
1
Nonpara.Independ(alpha, beta, p1, p2)
Arguments
alpha
significance level
beta
power = 1-beta
p1
p1=P((x1-x2)(y1-y2)>0)
p2
p2=P((x1-x2)(y1-y2)(x1-x3)(y1-y3)>0)
References
Chow SC, Shao J, Wang H. Sample Size Calculation in Clinical Research. New York: Marcel Dekker, 2003
Examples
1
2
3
Example.14.4<-Nonpara.Independ(0.05,0.2,0.6,0.7)
Example.14.4
# 135
TrialSize documentation built on July 8, 2020, 7:19 p.m.
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.
Description Usage Arguments References Examples
View source: R/Nonpara.Independ.R
Description
Ho: P(x ≤ a ~and~ y ≤ b) = P( x ≤ a ) P(y ≤ b) for all a and b. Ha: not equal
Usage
1 | Nonpara.Independ(alpha, beta, p1, p2)
|
Arguments
alpha |
significance level |
beta |
power = 1-beta |
p1 |
p1=P((x1-x2)(y1-y2)>0) |
p2 |
p2=P((x1-x2)(y1-y2)(x1-x3)(y1-y3)>0) |
References
Chow SC, Shao J, Wang H. Sample Size Calculation in Clinical Research. New York: Marcel Dekker, 2003
Examples
1 2 3 | Example.14.4<-Nonpara.Independ(0.05,0.2,0.6,0.7)
Example.14.4
# 135
|
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.