test.chisq: Computing the chi-square test statistic
In HW.pval: Testing Hardy-Weinberg Equilibrium for Multiallelic Genes
Description
Usage
Arguments
Details
Author(s)
References
See Also
Description
Calculates the Chi-Square test statistic between a lower-triangular matrix of genotypic counts and associated Hardy-Weinberg equilibrium model counts
Usage
1
test.chisq(observed, expected)
Arguments
observed
Matrix of observed genotypic counts
expected
Matrix of model genotypic counts
Details
Called on by HW.pval(), HW.plain(), and HW.cond().
Author(s)
Shubhodeep Mukherji <deep.mukherji@utexas.edu>
References
"Testing Hardy-Weinberg equilibrium with a simple root-mean-square statistic," by Rachel Ward
See Also
HW.pval, HW.plain, and HW.cond.
HW.pval documentation built on May 2, 2019, 1:44 p.m.
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Description Usage Arguments Details Author(s) References See Also
Description
Calculates the Chi-Square test statistic between a lower-triangular matrix of genotypic counts and associated Hardy-Weinberg equilibrium model counts
Usage
1 | test.chisq(observed, expected)
|
Arguments
observed |
Matrix of observed genotypic counts |
expected |
Matrix of model genotypic counts |
Details
Called on by HW.pval(), HW.plain(), and HW.cond().
Author(s)
Shubhodeep Mukherji <deep.mukherji@utexas.edu>
References
"Testing Hardy-Weinberg equilibrium with a simple root-mean-square statistic," by Rachel Ward
See Also
HW.pval, HW.plain, and HW.cond.
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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