EMMAgeo (version 0.9.7)

get.l.opt: Identify optimum weight transformation value

Description

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

Usage

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

Arguments

X

Numeric matrix, input data set with m samples (rows) and n variables (columns).

l

Numeric vector, weight transformation values to test.

quality

Character scalar, quality measure for against which to test the influence of l. See details for a list of the a vailable keywords. Default is "mRt".

Vqn

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

rotation

Character scalar, rotation type, default is "Varimax" (cf. EMMA for further information).

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.

Details

The parameter quality can be one out of the following keywords: "mRm", "mRn", "mRt", "mEm", "mEn" and "mEt". See EMMA for definition of these keywords.

See Also

EMMA

Examples

# NOT RUN {
## load example data set
data(example_X)
data(example_EMpot)

## get optimal l-value, uncomment to run
# get.l.opt(X = X, 
#           l = seq(from = 0, to = 0.1, by = 0.01), 
#           Vqn = EMpot$Vqn, 
#           quality = "mRt")

# }