multisensi (version 2.1-1)

basis.poly: A function to decompose multivariate data on a polynomial basis

Description

The basis.poly function decomposes a multivariate data set on a polynomial basis.

Usage

basis.poly(simuls, basis.args = list(degree = 3))

Arguments

simuls

a data.frame of size N x T, typically a set of N simulation outputs of length T.

basis.args

a list of arguments for the polynomial decomposition. The degree argument is the maximum degree of the polynomial basis. For the optional x.coord argument, see the Details section.

Value

H

a data.frame of size N x (d+1), where d is the degree of the polynomial decomposition. It contains the coefficients of the decomposition for each row of the simuls data.frame.

L

a matrix of size T x (d+1). It contains the vectors of the polynomial basis.

call.info

list with the element reduction="polynomial"

Details

This function uses poly. The optional x.coord element of the list in basis.args can be used to specify the support of the polynomial decomposition, if different from 1:T. It must be a vector of length T.

See Also

poly

Examples

# NOT RUN {
data(biomasseY)

res <- basis.poly(biomasseY,basis.args=list(degree=3))

# }