Get common moment-related quantities of a distribution: mean, variance, standard deviation (sd), skewness, and kurtosis.

kurtosis_raw(distribution)

kurtosis_exc(distribution)

# S3 method for dst
mean(x, ...)

# S3 method for dst
median(x, ...)

skewness(distribution)

stdev(distribution)

# S3 method for dst
stdev(distribution)

variance(distribution)

Arguments

distribution

Distribution to compute skewness from.

x

Distribution to calculate median from.

...

When calculating the mean via integration of the quantile function, arguments passed to stats::integrate().

Value

A single numeric.

Details

If there is no method associated with a subclass of x, then moments are calculated using stats::integrate() from the quantile function.

Median is calculated as the 0.5-quantile. So, when the median is non-unique, we take the smallest of the possibilities.

Examples

a <- dst_gpd(0, 1, 0.5)
b <- dst_unif(0, 1)
c <- dst_norm(3, 4)
mean(a)
#> [1] 2
variance(b)
#> [1] 0.08333333
kurtosis_raw(c)
#> [1] 3
kurtosis_exc(c)
#> [1] 0