cvv_manual: Coefficient of variance variation from manual input sample...

In multid: Multivariate Difference Between Two Groups

Coefficient of variance variation from manual input sample sizes and variance estimates

Description

Calculates three different indices for variation between two or more variance estimates. VR = Variance ratio between the largest and the smallest variance. CVV = Coefficient of variance variation (Box, 1954). SVH = Standardized variance heterogeneity (Ruscio & Roche, 2012).

Usage

cvv_manual(sample_sizes, variances)

Arguments

sample_sizes	Numeric vector of length > 1. Sample sizes used for each variance estimate.
variances	Numeric vector of length > 1. Variance estimates.

Value

A vector including VR, CVV, and SVH.

References

Box, G. E. P. (1954). Some Theorems on Quadratic Forms Applied in the Study of Analysis of Variance Problems, I. Effect of Inequality of Variance in the One-Way Classification. The Annals of Mathematical Statistics, 25(2), 290–302.

Ruscio, J., & Roche, B. (2012). Variance Heterogeneity in Published Psychological Research: A Review and a New Index. Methodology, 8(1), 1–11. https://doi.org/10.1027/1614-2241/a000034

Examples

cvv_manual(sample_sizes=c(10,100,1000,75,3),
variances=c(1.5,2,2.5,3,3.5))

multid documentation built on June 22, 2024, 11:33 a.m.