Tidy a(n) spec object

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 spec
tidy(x, ...)

Arguments

x

A spec object created by stats::spectrum().

...

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 two columns: freq and spec.

See also

tidy(), stats::spectrum()

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

Examples

spc <- spectrum(lh)
tidy(spc)
#> # A tibble: 24 x 2
#>      freq   spec
#>     <dbl>  <dbl>
#>  1 0.0208 0.0912
#>  2 0.0417 0.331 
#>  3 0.0625 0.836 
#>  4 0.0833 1.17  
#>  5 0.104  0.350 
#>  6 0.125  1.51  
#>  7 0.146  0.328 
#>  8 0.167  0.618 
#>  9 0.188  0.320 
#> 10 0.208  0.0675
#> # … with 14 more rows

library(ggplot2)
ggplot(tidy(spc), aes(freq, spec)) +
  geom_line()