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 zoo
tidy(x, ...)

Arguments

x

A zoo object such as those created by zoo::zoo().

...

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

tidy(), zoo::zoo()

Other time series tidiers: tidy.acf, tidy.spec, tidy.ts

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

Needs custom desciption.

Examples

library(zoo) library(ggplot2) set.seed(1071) # data generated as shown in the zoo vignette Z.index <- as.Date(sample(12450:12500, 10)) Z.data <- matrix(rnorm(30), ncol = 3) colnames(Z.data) <- c("Aa", "Bb", "Cc") Z <- zoo(Z.data, Z.index) tidy(Z)
#> # A tibble: 30 x 3 #> index series value #> <date> <chr> <dbl> #> 1 2004-02-10 Aa 0.747 #> 2 2004-02-15 Aa 1.27 #> 3 2004-02-27 Aa 0.222 #> 4 2004-03-01 Aa 0.0211 #> 5 2004-03-05 Aa -0.298 #> 6 2004-03-06 Aa -2.08 #> 7 2004-03-11 Aa -1.78 #> 8 2004-03-13 Aa 0.686 #> 9 2004-03-17 Aa -0.195 #> 10 2004-03-19 Aa 1.94 #> # ... with 20 more rows
ggplot(tidy(Z), aes(index, value, color = series)) + geom_line()
ggplot(tidy(Z), aes(index, value)) + geom_line() + facet_wrap(~ series, ncol = 1)
Zrolled <- rollmean(Z, 5) ggplot(tidy(Zrolled), aes(index, value, color = series)) + geom_line()