cox.stuart.test: Cox-Stuart test for trend analysis The Cox-Stuart test is...

In webr: Data and Functions for Web-Based Analysis

Cox-Stuart test for trend analysis The Cox-Stuart test is defined as a little powerful test (power equal to 0.78), but very robust for the trend analysis. It is therefore applicable to a wide variety of situations, to get an idea of the evolution of values obtained. The proposed method is based on the binomial distribution. This function was written by Tommaso Martino<[e-mail]>

Description

Cox-Stuart test for trend analysis The Cox-Stuart test is defined as a little powerful test (power equal to 0.78), but very robust for the trend analysis. It is therefore applicable to a wide variety of situations, to get an idea of the evolution of values obtained. The proposed method is based on the binomial distribution. This function was written by Tommaso Martino<[e-mail]>

Usage

cox.stuart.test(x)

Arguments

x	A numeric vector

Value

A list with class "htest"

Examples

customers = c(5, 9, 12, 18, 17, 16, 19, 20, 4, 3, 18, 16, 17, 15, 14)
cox.stuart.test(customers)

webr documentation built on June 21, 2026, 9:06 a.m.