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, ...)
x | A |
---|---|
... | Additional arguments. Not used. Needed to match generic
signature only. Cautionary note: Misspelled arguments will be
absorbed in |
Other bingroup tidiers:
glance.binDesign()
,
tidy.binWidth()
A tibble::tibble()
with columns:
Number of trials in given iteration.
Power achieved for given value of n.
if (requireNamespace("binGroup", quietly = TRUE)) { 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() }