calc_percent_change: Convert a count variable into percent change relative to...

In mrc-ide/pika: Evaluate Correlation Between Time Series

Description

This function converts a count variable over time into a percent change based on the average value in the specified baseline period. This function was written for application to mobility data, where the percent change in mobility over time relative to baseline is of interest. However, this function can be applied to any count type time series.

Usage

calc_percent_change(
  dat,
  date_var = "date",
  grp_var,
  count_var,
  n_baseline_periods = 7,
  start_date = NULL
)

Arguments

dat	data frame with columns that correspond to count variable and grouping variable
date_var	character string of the name of the date column (should be of class "Date")
grp_var	character string of column name in dat to be used as grouping variable
count_var	character string of the name of the count column, such as number of trips
n_baseline_periods	Number of periods to calculate baseline average over. For example, if the time series is days, n_baseline_periods = 7 for a baseline week.
start_date	start date of baseline period (character string)

Value

data frame of with an additional column of the percent change relative to baseline

mrc-ide/pika documentation built on May 18, 2020, 8:55 p.m.