broom (version 0.7.8)

tidy.ts: Tidy a(n) ts 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 ts
tidy(x, ...)

Arguments

x

A univariate or multivariate ts times series 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 tibble::tibble() with columns:

index

Index (i.e. date or time) for a `ts` or `zoo` object.

series

Name of the series (present only for multivariate time series).

value

The value/estimate of the component. Results from data reshaping.

Details

series column is only present for multivariate ts objects.

See Also

tidy(), stats::ts()

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

Examples

# NOT RUN {
set.seed(678)

tidy(ts(1:10, frequency = 4, start = c(1959, 2)))

z <- ts(matrix(rnorm(300), 100, 3), start = c(1961, 1), frequency = 12)
colnames(z) <- c("Aa", "Bb", "Cc")
tidy(z)
# }