cochranq.test: Cochran's Q Test for Dependent Samples
In bencuben/nparametric: Non-parametric basic functions
Description
Usage
Arguments
Value
References
Examples
Description
A mean difference test for depending samples proposed by Marascuilo & McSweeny (1967).
Usage
1
Arguments
x
A matrix or data.frame
Value
A list with class "htest" containing the following components:
statistic: the value of the Cochran's Q statistic.
df: Degree of freedom of the Chi squared distribution corresponding to the test.
p.value: an approximate p-value for the test.
References
Conover, W. J. (1999) "Practical Nonparametric Statistics", 3rd Edition, Jhon Wiley & Sons.Inc
Examples
1
2
3
x = as.table(matrix(c(1,1,0,1,0,1,1,1,0,0,1,1,1,1,1,1,0,
1,1,1,0,1,1,1,1,1,0,0,0,1,1,0,1,0,1,1),ncol=3))
cochranq.test(x)
bencuben/nparametric documentation built on July 15, 2020, 2:54 a.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 Value References Examples
Description
A mean difference test for depending samples proposed by Marascuilo & McSweeny (1967).
Usage
1 |
Arguments
x |
A matrix or data.frame |
Value
A list with class "htest" containing the following components:
statistic: the value of the Cochran's Q statistic.
df: Degree of freedom of the Chi squared distribution corresponding to the test.
p.value: an approximate p-value for the test.
References
Conover, W. J. (1999) "Practical Nonparametric Statistics", 3rd Edition, Jhon Wiley & Sons.Inc
Examples
1 2 3 | x = as.table(matrix(c(1,1,0,1,0,1,1,1,0,0,1,1,1,1,1,1,0,
1,1,1,0,1,1,1,1,1,0,0,0,1,1,0,1,0,1,1),ncol=3))
cochranq.test(x)
|
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.