ts_acceleration_augment: Augment Function Acceleration

In spsanderson/healthyR.ts: The Time Series Modeling Companion to 'healthyR'

Augment Function Acceleration

Description

Takes a numeric vector and will return the acceleration of that vector.

Usage

ts_acceleration_augment(.data, .value, .names = "auto")

Arguments

.data	The data being passed that will be augmented by the function.
.value	This is passed rlang::enquo() to capture the vectors you want to augment.
.names	The default is "auto"

Details

Takes a numeric vector and will return the acceleration of that vector. The acceleration of a time series is computed by taking the second difference, so

(x_t - x_t1) - (x_t - x_t1)_t1

This function is intended to be used on its own in order to add columns to a tibble.

Value

A augmented tibble

Author(s)

Steven P. Sanderson II, MPH

See Also

Other Augment Function: ts_growth_rate_augment(), ts_velocity_augment()

Examples

suppressPackageStartupMessages(library(dplyr))

len_out    = 10
by_unit    = "month"
start_date = as.Date("2021-01-01")

data_tbl <- tibble(
  date_col = seq.Date(from = start_date, length.out = len_out, by = by_unit),
  a    = rnorm(len_out),
  b    = runif(len_out)
)

ts_acceleration_augment(data_tbl, b)

spsanderson/healthyR.ts documentation built on Jan. 19, 2024, 10:02 p.m.