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 across 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, ...)A tibble::tibble() with columns:
Number of trials in given iteration.
Power achieved for given value of n.
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. Two exceptions here are:
tidy() methods will warn when supplied an exponentiate argument if
it will be ignored.
augment() methods will warn when supplied a newdata argument if it
will be ignored.
tidy(), binGroup::binDesign()
Other bingroup tidiers:
glance.binDesign(),
tidy.binWidth()
if (FALSE) { # rlang::is_installed(c("binGroup", "ggplot2"))
library(binGroup)
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()
}
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