get.l.opt: Identify optimum weight transformation value

Description

This function returns for a series of input vaules that weight transformation value, which yielded the highest measure of model quality.#'

Usage

get.l.opt(X, l, quality = "mRt", Vqn, rotation, plot = TRUE, ...)

Arguments

Numeric matrix with m samples (rows) and n variables (columns).

Numeric vector of weight transformation values to test.

quality

Charcter scalar, qualtiy measure for against which to test the influence of l. One out of "mRm", "mRn", "mRt", "mEm", "mEn" and "mEt". Default is "mRt".

Vqn

Numeric matrix specifying optional unscaled user-defined end-member loadings.

rotation

Character scalar, rotation type, default is "Varimax" (cf. Dietze et al., 2012). One out of the rotations provided in GPArotation is possible (cf. rotations).

plot

Logical scalar, optional graphical output of the result.

…

Further arguments passed to the function.

Value

Numeric scalar, weight tranformation value with optimal EMMA result.

References

Dietze E, Hartmann K, Diekmann B, IJmker J, Lehmkuhl F, Opitz S, Stauch G, Wuennemann B, Borchers A. 2012. An end-member algorithm for deciphering modern detrital processes from lake sediments of Lake Donggi Cona, NE Tibetan Plateau, China. Sedimentary Geology 243-244: 169-180.

Examples

Run this code

# NOT RUN {
## load example data set
data(X, envir = environment())

## TO BE DONE!!!
# }