lcomoms2 | R Documentation |
Compute the sample L-moments for the R two variable data.frame
. The “2” in the function name is to refer to fact that this function operates on only two variables. The length of the variables must be greater than the number of L-comoments requested.
lcomoms2(DATAFRAME, nmom=3, asdiag=FALSE, opdiag=FALSE, ...)
DATAFRAME |
An R |
nmom |
The number of L-comoments to compute. Default is 3. |
asdiag |
Return the |
opdiag |
Return the opposing diagonal of the matrices. Default is |
... |
Additional arguments to pass. |
An R list
is returned of the first
L1 |
Matrix or diagonals of first L-comoment. |
L2 |
Matrix or diagonals of second L-comoment. |
T2 |
Matrix or diagonals of L-comoment correlation. |
T3 |
Matrix or diagonals of L-comoment skew. |
T4 |
Matrix or diagonals of L-comoment kurtosis. |
T5 |
Matrix or diagonals of L-comoment Tau5. |
source |
An attribute identifying the computational source of the L-comoments: “lcomoms2”. |
This function computes the L-comoments through the generalization of the Lcomoment.matrix
and Lcomoment.coefficients
functions.
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.
Lcomoment.matrix
and Lcomoment.coefficients
## Not run:
# Random simulation of standard normal and then combine with
# a random standard exponential distribution
X <- rnorm(200); Y <- X + rexp(200)
z <- lcomoms2(data.frame(X=X, Y=Y))
print(z)
z <- lcomoms2(data.frame(X=X, Y=Y), diag=TRUE)
print(z$T3) # the L-skew values of the margins
z <- lcomoms2(data.frame(X=X, Y=Y), opdiag=TRUE)
print(z$T3) # the L-coskew values
## End(Not run)
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