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.
# S3 method for zoo tidy(x, ...)
x | A |
---|---|
... | Additional arguments. Not used. Needed to match generic
signature only. Cautionary note: Misspelled arguments will be
absorbed in |
A tibble::tibble()
with columns:
Index (i.e. date or time) for a `ts` or `zoo` object.
Name of the series (present only for multivariate time series).
The value/estimate of the component. Results from data reshaping.
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 2004-02-02 Aa -0.537 #> 2 2004-02-02 Bb 0.746 #> 3 2004-02-02 Cc -0.634 #> 4 2004-02-06 Aa -0.586 #> 5 2004-02-06 Bb -0.0779 #> 6 2004-02-06 Cc 0.0397 #> 7 2004-02-08 Aa -0.289 #> 8 2004-02-08 Bb -1.11 #> 9 2004-02-08 Cc -0.341 #> 10 2004-02-12 Aa 1.85 #> # … with 20 more rows