Learn R Programming

sn (version 0.4-3)

sample.centralmoments: Sample centralmoments

Description

Computes sample central moments up to a given order and the first moment from the origin

Usage

sample.centralmoments(x, w = rep(1, length(x)), order=4)

Arguments

x
a vector of sample values
w
an optional vector of weights
order
the maximal order of the central moments to be computed; it must be a positive integer (default value 4)

Value

  • A vector containing the first sample central moments, in position [2:order], and the first moment from the origin, in the first position of the returned vector

Details

NA's are allowed but removed. Averaging of appropriate quantities is actually performed by weighted.mean

See Also

st.cumulants.inversion, weighted.mean

Examples

Run this code
data(ais, package='sn')
mom <- sample.centralmoments(ais[,"bmi"])
st.cumulants.inversion(cum=c(mom[1:3], mom[4]-3*mom[2]^2))
# parameters of the fitted ST distribution

Run the code above in your browser using DataLab