regression.Vector: Vectorization, regression

View source: R/cdtRegression_functions.R

regression.VectorR Documentation

Vectorization, regression

Description

Regression with a matrix and a vector performed by column lm(Y~X).

Usage

regression.Vector(X, Y, min.len)

Arguments

X

A vector of length N.

Y

A numeric NxK matrix.

min.len

An integer specify the minimum length of non missing data.

Value

Returns a numeric 10xK matrix.

Examples

library(CDT)

set.seed(1)
X <- rnorm(20)
Y <- matrix(rnorm(200), nrow = 20, ncol = 10)
res <- regression.Vector(X, Y, 10)


rijaf-iri/CDT documentation built on July 3, 2024, 2:54 a.m.