Tidy a(n) binDesign object

Tidy summarizes information about the components of a model. A model component might be a single term in a regression, a single hypothesis, a cluster, or a class. Exactly what tidy considers to be a model component varies cross models but is usually self-evident. If a model has several distinct types of components, you will need to specify which components to return.

# S3 method for binDesign
tidy(x, ...)

Arguments

x

A binGroup::binDesign() object.

...

Additional arguments. Not used. Needed to match generic signature only. Cautionary note: Misspelled arguments will be absorbed in ..., where they will be ignored. If the misspelled argument has a default value, the default value will be used. For example, if you pass conf.lvel = 0.9, all computation will proceed using conf.level = 0.95. Additionally, if you pass newdata = my_tibble to an augment() method that does not accept a newdata argument, it will use the default value for the data argument.

Value

A one-row tibble::tibble with columns:

n

Number of trials in given iteration.

power

Power achieved for given value of n.

See also

tidy(), binGroup::binDesign()

Other bingroup tidiers: glance.binDesign, tidy.binWidth

Examples

if (require("binGroup", quietly = TRUE)) {
    des <- binDesign(nmax = 300, delta = 0.06,
                     p.hyp = 0.1, power = .8)

    glance(des)
    tidy(des)

    # the ggplot2 equivalent of plot(des)
    library(ggplot2)
    ggplot(tidy(des), aes(n, power)) +
        geom_line()
}
#> Warning: there is no package called ‘binGroup’