Nothing
## calculates the array with the power, stores it into powCalc
setGeneric(name = "powCalc",
def = function(object, statistic, n.iter = NA, cluster = FALSE){
standardGeneric("powCalc")
})
## for generating the example object in one step (replacing powEx and
## merge that are kept for back compatibility (and internal usage))
setGeneric(name = "powEx",
def = function(x, theta,
xi = NA,
endpoint = NA,
power = 0.9,
drop = 0,
method = c("default", "lm", "step"),
lm.range = NA,
forceDivisor = FALSE){
standardGeneric("powEx")
})
setGeneric(name = "powFunGen",
def = function(object, ...){
standardGeneric("powFunGen")
})
setGeneric(
name = "workhorse",
def = function(object, ...){
standardGeneric("workhorse")
})
## for programming on powPar parameters
setGeneric(name = "pp",
def = function(x, name){
standardGeneric("pp")
})
## for programming on powPar parameters
setGeneric(name = "n",
def = function(x){
standardGeneric("n")
}
#,
# useAsDefault = function(object = pow, ...){object@n.act}
)
setGeneric(name = "refine",
def = function(object, factor = 10){
standardGeneric("refine")
})
## for programming on powPar parameters
setGeneric(name = "theta",
def = function(x){
standardGeneric("theta")
})
## for programming on powPar parameters
setGeneric(name = "xi",
def = function(x){
standardGeneric("xi")
})
## estimats n from objects of class "power"
setGeneric(name = "sampleSize",
def = function(x, ...) {
standardGeneric("sampleSize")
})
## estimats n from power
setGeneric(name = "exDat",
def = function(x, y, ...) {
standardGeneric("exDat")
})
## estimats n from power
setGeneric(name = "inspect",
def = function(object) {
standardGeneric("inspect")
})
## for reporting the sampling schema
setGeneric(name = "tex",
def = function(x, type, ...){
standardGeneric("tex")
})
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