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, ...)
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.binDesign()
A tibble::tibble()
with columns:
Alternative hypothesis (character).
Expected width of confidence interval.
True proportion.
Total sample size
if (requireNamespace("binGroup", quietly = TRUE)) { library(binGroup) library(dplyr) library(ggplot2) bw <- binWidth(100, .1) bw tidy(bw) } #> # A tibble: 1 × 4 #> ci.width alternative p n #> <dbl> <chr> <dbl> <dbl> #> 1 0.126 two.sided 0.1 100