gMCP: bonferroni.test – R documentation

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bonferroni.test

Weighted Bonferroni-test

Weighted Bonferroni-test

bonferroni.test(pvalues, weights, alpha = 0.05, adjPValues = TRUE,
  verbose = FALSE, ...)

`pvalues`	A numeric vector specifying the p-values.
`weights`	A numeric vector of weights.
`alpha`	A numeric specifying the maximal allowed type one error rate. If `adjPValues==TRUE` (default) the parameter `alpha` is not used.
`adjPValues`	Logical scalar. If `TRUE` (the default) an adjusted p-value for the weighted Bonferroni-test is returned. Otherwise if `adjPValues==FALSE` a logical value is returned whether the null hypothesis can be rejected.
`verbose`	Logical scalar. If `TRUE` verbose output is generated.
`...`	Further arguments possibly passed by `gMCP` which will be used by other test procedures but not this one.

bonferroni.test(pvalues=c(0.1,0.2,0.05), weights=c(0.5,0.5,0))
bonferroni.test(pvalues=c(0.1,0.2,0.05), weights=c(0.5,0.5,0), adjPValues=FALSE)

Graph Based Multiple Comparison Procedures

v0.8-15

GPL (>= 2)

Authors

Kornelius Rohmeyer [aut, cre], Florian Klinglmueller [aut]

Initial release