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.

tidy(), binGroup::binWidth()

Other bingroup tidiers: glance.binDesign, tidy.binDesign

## Value

A tibble::tibble() with columns:

alternative

Alternative hypothesis (character).

ci.width

Expected width of confidence interval.

p

True proportion.

n

Total sample size

## Examples


library(binGroup)
library(dplyr)
library(ggplot2)

bw <- binWidth(100, .1)
bw#> $expCIWidth #> [1] 0.1256172 #> #>$alternative
#> [1] "two.sided"
#>
#> $p #> [1] 0.1 #> #>$n
#> [1] 100
#>
#> attr(,"class")
#> [1] "binWidth"tidy(bw)#> # A tibble: 1 x 4
#>   ci.width alternative     p     n
#>      <dbl> <chr>       <dbl> <dbl>
#> 1    0.126 two.sided     0.1   100