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, ...)

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.

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. Two exceptions here are:

tidy() methods will warn when supplied an exponentiate argument if it will be ignored.
augment() methods will warn when supplied a newdata argument if it will be ignored.

Details

series column is only present for multivariate ts objects.

Examples

Run this code


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)