regressors: Regress vectors

In FredHasselman/invctr: Infix Functions For Vector Operations

Regress vectors

Description

Regress vectors

Correlate x and y: ⁠%/r%⁠

Polynomial regression of degree 1: ⁠%/1%⁠

Polynomial regression of degree 2: ⁠%/2%⁠

Polynomial regression of degree 3: ⁠%/3%⁠

Polynomial regression of degree 4: ⁠%/4%⁠

⁠%/n%⁠ Polynomial regression of degree n: ⁠%/n%⁠

Usage

x %/r% y

x %/1% y

x %/2% y

x %/3% y

x %/4% y

x %/n% yn

Arguments

x	Numeric vectors
y	Numeric vector
yn	List of length 2, first element is a vector y, the second element an integer denoting the order of the polynomial regression.

Examples

x <- rnorm(100)
y <- x + x^2 + x^3

# Correlate x with y
x%/r%y

# Polynomial regression degree 1 .. 4
x%/1%y
x%/2%y
x%/3%y
x%/4%y

anova(x%/1%y,x%/2%y,x%/3%y,x%/4%y)

# Order n

x%/n%list(y,10)

FredHasselman/invctr documentation built on Feb. 19, 2025, 5:12 a.m.