It obtains the coefficient of variation of the experiment obtained by models lm() or aov()

cv.model(x)

Arguments

x

object of model lm() or AOV()

Value

Returns the coefficient of variation of the experiment according to the applied statistical model

Details

sqrt(MSerror)*100/mean(x)

See also

Examples

# see examples from LSD , Waller-Duncan or HSD and complete with it: library(agricolae) # not run # cv<-cv.model(model)