This function is used to augment a data frame or tibble with time series
growth rates of selected columns. You can provide a data frame or tibble as
the first argument, the column(s) for which you want to calculate the growth
rates using the .value parameter, and optionally specify custom names for
the new columns using the .names parameter.
Arguments
- .data
A data frame or tibble containing the data to be augmented.
- .value
A quosure specifying the column(s) for which you want to calculate growth rates.
- .names
Optional. A character vector specifying the names of the new columns to be created. Use "auto" for automatic naming.
Value
A tibble that includes the original data and additional columns representing
the growth rates of the selected columns. The column names are either
automatically generated or as specified in the .names parameter.
See also
Other Augment Function:
ts_acceleration_augment(),
ts_velocity_augment()
Examples
data <- data.frame(
Year = 1:5,
Income = c(100, 120, 150, 180, 200),
Expenses = c(50, 60, 75, 90, 100)
)
ts_growth_rate_augment(data, .value = c(Income, Expenses))
#> # A tibble: 5 × 5
#> Year Income Expenses growth_rate_Income growth_rate_Expenses
#> <int> <dbl> <dbl> <dbl> <dbl>
#> 1 1 100 50 NA NA
#> 2 2 120 60 20 20
#> 3 3 150 75 25 25
#> 4 4 180 90 20 20
#> 5 5 200 100 11.1 11.1