tidy.acf: Tidy a(n) acf object

Description Usage Arguments Value See Also Examples

View source: R/stats-time-series-tidiers.R

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

1
2
## S3 method for class 'acf'
tidy(x, ...)

Arguments

x

An acf object created by stats::acf(), stats::pacf() or stats::ccf().

...

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:

acf

Autocorrelation.

lag

Lag values.

See Also

tidy(), stats::acf(), stats::pacf(), stats::ccf()

Other time series tidiers: tidy.spec(), tidy.ts(), tidy.zoo()

Examples

1
2
3

broom documentation built on June 13, 2021, 9:06 a.m.