broom (version 0.7.8)

tidy.power.htest: Tidy a(n) power.htest object

Description

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.

Usage

# S3 method for power.htest
tidy(x, ...)

Arguments

x

A power.htest object such as those returned from stats::power.t.test().

...

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 tibble::tibble() with columns:

delta

True difference in means.

n

Number of observations by component.

power

Power achieved for given value of n.

sd

Standard deviation.

sig.level

Significance level (Type I error probability).

See Also

stats::power.t.test()

Other htest tidiers: augment.htest(), tidy.htest(), tidy.pairwise.htest()

Examples

# NOT RUN {
ptt <- power.t.test(n = 2:30, delta = 1)
tidy(ptt)

library(ggplot2)

ggplot(tidy(ptt), aes(n, power)) +
  geom_line()
# }