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.

See also

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