PROPs: Proportions
In multiColl: Collinearity Detection in a Multiple Linear Regression Model

PROPs

R Documentation

Proportions

Description

The functions returns the proportion of ones in the dummy variables existing in a matrix.

Usage

PROPs(X, dummy = TRUE, pos = NULL)

Arguments

`X`	A numeric matrix that should contain more than one regressor (intercept included).
`dummy`	A logical value that indicates if there are dummy variables in the matrix `X`. By default `dummy=TRUE`.
`pos`	A numeric vector that indicates the position of the dummy variables, if these exist, in the matrix `X`. By default `pos=NULL`.

Author(s)

R. Salmerón (romansg@ugr.es) and C. García (cbgarcia@ugr.es).

Examples

# random
x1 = sample(1:50, 25)
x2 = sample(1:50, 25)
x3 = sample(cbind(array(1,25), array(0,25)), 25)
x4 = sample(cbind(array(1,25), array(0,25)), 25)
x = cbind(x1, x2, x3, x4)
head(x)
PROPs(x, TRUE, pos = c(3,4))

multiColl documentation built on July 21, 2022, 9:06 a.m.