| cvv_manual {multid} | R Documentation |
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))