| vec2TLmom {lmomco} | R Documentation |
Convert a Vector of TL-moments to a TL-moment Object
Description
This function converts a vector of trimmed L-moments (TL-moments) to a TL-moment object of lmomco by dispatch to vec2lmom. The object is an R list. This function is intended to facilitate the use of TL-moments that the user might have from other sources. The trimming on the left-tail is denoted by t and the trimming on the right-tail is denoted as s. The first five TL-moments are \lambda^{(t,s)}_1, \lambda^{(t,s)}_2, \lambda^{(t,s)}_3, \lambda^{(t,s)}_4, \lambda^{(t,s)}_5, \tau^{(t,s)}, \tau^{(t,s)}_3, \tau^{(t,s)}_4, and \tau^{(t,s)}_5. The function supports TL-moments and TL-moment ratios of arbitrary length. Because in typical practice the k \ge 3 order L-moments are dimensionless ratios (\tau^{(t,s)}_3, \tau^{(t,s)}_4, and \tau^{(t,s)}_5), this function computes \lambda^{(t,s)}_3, \lambda^{(t,s)}_4, \lambda^{(t,s)}_5 from \lambda^{(t,s)}_2 and the ratios. However, typical practice is not set on the use of \lambda^{(t,s)}_2 or \tau^{(t,s)} as measure of dispersion. Therefore, this function takes an lscale optional logical argument—if \lambda^{(t,s)}_2 is provided and lscale=TRUE, then \tau is computed by the function and if \tau is provided, then \lambda^{(t,s)}_2 is computed by the function. The trim level of the TL-moment is required. Lastly, it might be common for t=s and hence symmetrical trimming is used.
Usage
vec2TLmom(vec, ...)
Arguments
vec |
A vector of L-moment values in |
... |
The arguments used by |
Value
An R list is returned where t represents the trim level.
lambdas |
Vector of the TL-moments. First element is |
ratios |
Vector of the L-moment ratios. Second element is |
trim |
Level of symmetrical trimming, which should equal |
leftrim |
Level of trimming of the left-tail of the sample. |
rightrim |
Level of trimming of the right-tail of the sample. |
source |
An attribute identifying the computational source of the L-moments: “TLmoms”. |
Note
The motiviation for this function that arrange trivial arguments for vec2lmom is that it is uncertain how TL-moments will grow in the research community and there might someday be a needed for alternative support without having to touch vec2lmom. Plus there is nice function name parallelism in having a dedicated function for the TL-moments as there is for L-moments and probability-weighted moments.
Author(s)
W.H. Asquith
See Also
Examples
TL <- vec2TLmom(c(12,0.6,0.34,0.20,0.05),lscale=FALSE,trim=1)