KKSAPvalue: Kharrati-Kopaei and Sadooghi-Alvandi's test for...
In hiddenf: The All-Configurations, Maximum-Interaction F-Test for Hidden Additivity
Description
Usage
Arguments
Details
Value
Author(s)
References
See Also
Examples
Description
Reports the p-value from Kharrati-Kopaei and Sadooghi-Alvandi's test for non-additivity. This procedure searches over all configurations of
rows of the input matrix into two non-empty sets, each having at least
two elements. Separate linear models in which row and column effects
are additive are fit to each set, and the configuration with maximum
ratio of error mean squares is reported, along with a p-value.
Usage
1
KKSAPvalue(hfobj)
Arguments
hfobj
An object of class HiddenF created by the HiddenF function
Details
Requires that data matrix has more than four rows (r > 4)
Value
A list containing the input data matrix converted to list form,
a numeric p-value from a test of the hypothesis of additivity,
and a vector giving the corresponding configuration of rows into
two groups.
Author(s)
Jason A. Osborne, Christopher T. Franck and Bongseog Choi
References
Kharrati-Kopaei, M. and Sadooghi-Alvandi, SM. (2007).
A New Method for Testing Interaction in Unreplicated
Two-Way Analysis of Variance, Communications in Statistics - Theory
and Methods, 36:2787-2803.
See Also
HiddenF, additivityPvalues
Examples
1
2
3
4
5
library(hiddenf)
data(cjejuni.mtx)
cjejuni.out <- HiddenF(cjejuni.mtx)
KKSA.out <- KKSAPvalue(cjejuni.out)
print(KKSA.out$pvalue)
hiddenf documentation built on May 2, 2019, 2:47 p.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Description Usage Arguments Details Value Author(s) References See Also Examples
Description
Reports the p-value from Kharrati-Kopaei and Sadooghi-Alvandi's test for non-additivity. This procedure searches over all configurations of rows of the input matrix into two non-empty sets, each having at least two elements. Separate linear models in which row and column effects are additive are fit to each set, and the configuration with maximum ratio of error mean squares is reported, along with a p-value.
Usage
1 | KKSAPvalue(hfobj)
|
Arguments
hfobj |
An object of class |
Details
Requires that data matrix has more than four rows (r > 4)
Value
A list containing the input data matrix converted to list form, a numeric p-value from a test of the hypothesis of additivity, and a vector giving the corresponding configuration of rows into two groups.
Author(s)
Jason A. Osborne, Christopher T. Franck and Bongseog Choi
References
Kharrati-Kopaei, M. and Sadooghi-Alvandi, SM. (2007). A New Method for Testing Interaction in Unreplicated Two-Way Analysis of Variance, Communications in Statistics - Theory and Methods, 36:2787-2803.
See Also
HiddenF, additivityPvalues
Examples
1 2 3 4 5 | library(hiddenf)
data(cjejuni.mtx)
cjejuni.out <- HiddenF(cjejuni.mtx)
KKSA.out <- KKSAPvalue(cjejuni.out)
print(KKSA.out$pvalue)
|
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.