snp.lhs.tests
and snp.rhs.tests. The class
"GlmTestsScore" extends the class
"GlmTests" and is invoked by setting the argument
score=TRUE when calling testing functions
in order to save the scores and their variances
(and covariances)
"GlmTests"
have four slots:
"GlmTestsScore" class extends this, adding a slot
score containing a list with elements which are themselves
lists with two elements:
U, stored as a vectorsignature(x = "GlmTests", i = "ANY", j =
"missing", drop = "missing"): Subsetting operatorsignature(from = "GlmTests", to = "data.frame"):
Simplify objectsignature(x = "GlmTests", df =
"missing"): Extract chi-squared test valuessignature(x = "GlmTests"): Extract
degrees of freedom for testssignature(x="GlmTests"): Extract (or generate)
a name for each testsignature(x = "GlmTests", df =
"missing"): Extract p-valuessignature(object = "GlmTests"):
Extract sample sizes for testssignature(object = "GlmTests"): Show methodsignature(object = "GlmTests"): Summary
methodsignature(x = "GlmTestsScore", i = "ANY", j =
"missing", drop = "missing"): Subsetting operatorsignature(x = "GlmTestsScore", simplify =
"logical"): Extract signs of associations. If simpify is
TRUE then a simple vector is returned if all tests are on 1dfsignature(x = "GlmTestsScore", y =
"GlmTestsScore", score = "logical"): Combine results from two
sets of testssignature(x = "GlmTestsScore", snps =
"character"): Emulate, in the score vector and its (co)variances,
the effect of switching of the alleles of specified SNPssnp.lhs.tests,snp.rhs.tests,
SingleSnpTests,
SingleSnpTestsScore