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 binWidth
tidy(x, ...)
A binGroup::binWidth()
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.
Other bingroup tidiers:
glance.binDesign()
,
tidy.binDesign()
A tibble::tibble()
with columns:
Alternative hypothesis (character).
Expected width of confidence interval.
True proportion.
Total sample size
if (requireNamespace("binGroup", quietly = TRUE)) {
# load libraries
library(binGroup)
# fit model
bw <- binWidth(100, .1)
bw
# summarize model fit with tidiers
tidy(bw)
}
#> # A tibble: 1 × 4
#> ci.width alternative p n
#> <dbl> <chr> <dbl> <dbl>
#> 1 0.126 two.sided 0.1 100