| Lcomoment.matrix | R Documentation |
Compute the L-comoments from a rectangular data.frame containing arrays of random variables. The order of the L-comoments is specified.
Lcomoment.matrix(DATAFRAME, k=1)
DATAFRAME |
A convential |
k |
The order of the L-comoments to compute. Default is |
L-comoments are computed for each item in the data.frame. L-comoments of order k = 1 are means and co-means. L-comoments of order k = 2 are L-scale and L-coscale values. L-comoments of order k = 3 are L-skew and L-coskews. L-comoments of order k = 4 are L-kurtosis and L-cokurtosis, and so on. The usual univariate L-moments of order k as seen from lmom.ub or lmoms are along the diagonal. This function does not make use of lmom.ub or lmoms. The function Lcomoment.matrix calls Lcomoment.Lk12 for each cell in the matrix. The L-comoment matrix for d-random variables is
\mathbf{\Lambda}_k = (\hat{\lambda}_{k[ij]})
computed over the pairs (X^{(i)},X^{(j)}) where 1 \le i \le j \le d.
An R list is returned.
type |
The type of L-comoment representation in the matrix: “Lcomoments”. |
order |
The order of the matrix—specified by k in the argument list. |
matrix |
A kth order L-comoment matrix. |
The function begins with a capital letter. This is intentionally done so that lower case namespace is preserved. By using a capital letter now, then lcomoment.matrix remains an available name in future releases.
W.H. Asquith
Asquith, W.H., 2011, Distributional analysis with L-moment statistics using the R environment for statistical computing: Createspace Independent Publishing Platform, ISBN 978–146350841–8.
Serfling, R., and Xiao, P., 2007, A contribution to multivariate L-moments—L-comoment matrices: Journal of Multivariate Analysis, v. 98, pp. 1765–1781.
Lcomoment.Lk12, Lcomoment.coefficients
D <- data.frame(X1=rnorm(30), X2=rnorm(30), X3=rnorm(30))
L1 <- Lcomoment.matrix(D, k=1)
L2 <- Lcomoment.matrix(D, k=2)
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