Compute the rate of change for a time series

Required attributes of the input time series are:

• series_type - "rate" or "level"

• method - "percentage", "diff_log", "none", or an expression

Usage

rate(x, ...)

Arguments

x

A time series object. Supported classes are ts and ets (a subclass of ts).

...

arguments passed to methods (unused for the default method).

Value

An ets object.

Examples

x <- ets(1:10, series_type = "level", method = "diff_log")
rate(x)
#> <koma_ts>
#> attributes:
#>   series_type:  chr "rate"
#>   method:  chr "diff_log"
#>   anker:  num [1:2] 1 1
#> 
#> series:
#> Time Series:
#> Start = 2 
#> End = 10 
#> Frequency = 1 
#> [1] 69.31472 40.54651 28.76821 22.31436 18.23216 15.41507 13.35314 11.77830
#> [9] 10.53605