Compute model quality — cv • sjstats

Compute the coefficient of variation.

cv(x, ...)

Arguments

x: Fitted linear model of class lm, merMod (lme4) or lme (nlme).
...: More fitted model objects, to compute multiple coefficients of variation at once.

Value

Numeric, the coefficient of variation.

Details

The advantage of the cv is that it is unitless. This allows coefficient of variation to be compared to each other in ways that other measures, like standard deviations or root mean squared residuals, cannot be.

Examples

data(efc)
fit <- lm(barthtot ~ c160age + c12hour, data = efc)
cv(fit)
#> [1] 0.3948098