Tidy a(n) binWidth 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 binWidth
tidy(x, ...)

Arguments

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.

Value

A one-row tibble::tibble with columns:

ci.width

Expected width of confidence interval.

alternative

Alternative hypothesis.

p

True proportion.

n

Total sample size.

See also

tidy(), binGroup::binWidth()

Other bingroup tidiers: glance.binDesign, tidy.binDesign

Examples

if (require("binGroup", quietly = TRUE)) {
    bw <- binWidth(100, .1)
    bw
    tidy(bw)

    library(dplyr)
    d <- expand.grid(n = seq(100, 800, 100),
                     p = .5,
                     method = c("CP", "Blaker", "Score", "Wald"),
                     stringsAsFactors = FALSE) %>%
        group_by(n, p, method) %>%
        do(tidy(binWidth(.$n, .$p, method = .$method)))

    library(ggplot2)
    ggplot(d, aes(n, ci.width, color = method)) +
        geom_line() +
        xlab("Total Observations") +
        ylab("Expected CI Width")
}
#> Warning: there is no package called ‘binGroup’