This functions computes the absolute coefficient of variation as
proposed by Pearson: standard deviation divided by the
mean. Essentially, cv reflects a normalized measure of dispersion of a
probability distribution. Distributions with cv < 1 are considered
low-variance, while those with cv > 1 high-variance.
Usage
cv(x)
Arguments
x
is a numeric vector.
Value
Will return the computation of the variation.
Details
sd(x)/mean(x) = cv, which is the inverse of signal-to-noise ratio.