reg_dist: Distance based on the regression parameters

In nullabor: Tools for Graphical Inference

Description

Dataset X is binned into 5 bins in x-direction. A regression line is fitted to the data in each bin and the regression coefficients are noted. Same is done for dataset PX. An euclidean distance is calculated between the two sets of regression parameters. If the relationship between X and PX looks linear, number of bins should be equal to 1.

Usage

reg_dist(X, PX, nbins = 1, intercept = TRUE, scale = TRUE)

Arguments

X	a data.frame with two variables, the first column giving the explanatory variable and the second column giving the response variable
PX	another data.frame with two variables, the first column giving the explanatory variable and the second column giving the response variable
nbins	number of bins on the x-direction, by default nbins = 1
intercept	include the distances between intercepts?
scale	logical value: should the variables be scaled before computing regression coefficients?

Value

distance between X and PX

Examples

with(mtcars, reg_dist(data.frame(wt, mpg), data.frame(sample(wt), mpg)))

nullabor documentation built on Feb. 26, 2020, 1:07 a.m.