class_trajectory: Classify Trajectory Measure for County Data

In carlbfrederick/ohiCovidMetrics: Used to calculate sub-state metrics relating to the COVID-19 pandemic

Description

This function tests to see if the count trajectory is statistically distinct from zero with a Poisson test for the ratio of two counts using poisson.test as.calculated by pval_trajectory at the two-sided p < .05 level. If it is and the percent change as calculated by score_trajectory is less than or equal to -10, the trajectory is classified as shrinking. If it is and the percent change is greater than or equal to 10, the trajectory is classified as growing. If the test fails to reject the null hypothesis, the trajectory is classified as not statistically significant.

Usage

class_trajectory(traj, pval)

Arguments

traj	trajectory as calculated by score_trajectory
pval	p-value as calculated by pval_trajectory

Value

an ordered factor "Shrinking" < "No statistically significant change" < "Growing"

Examples

traj <- score_trajectory(curr = 100L, prev = 80L)
traj_pval  <- pval_trajectory(curr = 100L, prev = 80L)

traj_class <- class_trajectory(traj, traj_pval)

carlbfrederick/ohiCovidMetrics documentation built on Jan. 10, 2022, 12:20 p.m.