residuals_for: Calculate residuals for a model excluding one of the...

In mathesong/granviller: Does the Things That Granville Does

Description

Allows access to residuals without the influence of a particular predictor

Usage

residuals_for(model, predictor)

Arguments

model	The input model, e.g. lm(a ~ b + c)
predictor	The name of the predictor to be excluded

Value

A tibble containing true value, predicted values without the predictor, and the residuals without the predictor

Examples

data(mtcars)
model1 <- lm(mpg ~ cyl + disp + gear, data=mtcars)
resout <- residuals_for(model1, "cyl")

model2 <- lm(residuals ~ cyl + 0, data=resout)

coef(model1)
coef(model2)

mathesong/granviller documentation built on April 20, 2020, 7:28 p.m.