zmodel.matrix: Generate a Model Matrix (Design Matrix) Using Complex...

In complexlm: Linear Fitting for Complex Valued Data

Generate a Model Matrix (Design Matrix) Using Complex Variables

Description

A function that somewhat replicates model.matrix(), but accepts complex valued data. It will probably be slower and less efficient, but mostly functional. It cannot handle algebraic expressions in formula.

Usage

zmodel.matrix(trms, data, contrasts.arg = NULL)

Arguments

trms	A "terms" object as generated by stats::terms().
data	A data frame containing the data referenced by the symbolic formula / model in trms.
contrasts.arg	a list, default is NULL. Not currently supported. See stats::model.matrix() for details.

Value

A model matrix, AKA a design matrix for a regression, containing the relevant information from data.

See Also

stats::model.matrix, lm

Examples

set.seed(4242)
slop <- complex(real = 4.23, imaginary = 2.323)
interc <- complex(real = 1.4, imaginary = 1.804)
tframe <- expand.grid(-3:3,-3:3)
Xt <- complex(real = tframe[[1]], imaginary = tframe[[2]])
tframe <- data.frame(Xt=Xt, Yt= Xt * slop + interc + complex(real=rnorm(length(Xt)),
 imaginary=rnorm(length(Xt))))
testterms <- terms(Yt ~ Xt)
zmodel.matrix(testterms, tframe)

complexlm documentation built on May 29, 2024, 2:08 a.m.