For now this is just a dump of a bunch of plots. It needs to be turned into a vignette.
mod <- lm( mpg ~ factor(cyl), data = mtcars)
plotModel(mod)# SLR
mod <- lm( mpg ~ wt, data = mtcars)
plotModel(mod, pch = 19)# parallel slopes
mod <- lm( mpg ~ wt + factor(cyl), data=mtcars)
plotModel(mod)# multiple categorical vars
mod <- lm( mpg ~ wt + factor(cyl) + factor(vs) + factor(am), data = mtcars)
plotModel(mod)plotModel(mod, mpg = ~am)# interaction
mod <- lm( mpg ~ wt + factor(cyl) + wt:factor(cyl), data = mtcars)
plotModel(mod)# polynomial terms
mod <- lm( mpg ~ wt + I(wt^2), data = mtcars)
plotModel(mod)# polynomial terms and covariate
mod <- lm( mpg ~ wt + I(wt^2) * factor(cyl), data = mtcars)
plotModel(mod)plotModel(mod, formula = mpg ~ wt | cyl)# GLM
mod <- glm(vs ~ wt, data=mtcars, family = 'binomial')
plotModel(mod)# GLM with interaction
mod <- glm(vs ~ wt + factor(cyl), data=mtcars, family = 'binomial')
plotModel(mod)# facets
mod <- lm(mpg ~ poly(wt,2) + factor(cyl) * factor(am), data=mtcars)
plotModel(mod, mpg ~ wt | factor(cyl))mod <- lm( mpg ~ factor(cyl), data = mtcars)
plotModel(mod, system="g")# SLR
mod <- lm( mpg ~ wt, data = mtcars)
plotModel(mod, system="g")# parallel slopes
mod <- lm( mpg ~ wt + factor(cyl), data=mtcars)
plotModel(mod, system = "g")# multiple categorical vars
mod <- lm( mpg ~ wt + factor(cyl) + factor(vs) + factor(am), data = mtcars)
plotModel(mod, system="g")plotModel(mod, mpg ~ am, system="g")# interaction
mod <- lm( mpg ~ wt + factor(cyl) + wt:factor(cyl) + factor(am), data = mtcars)
plotModel(mod, system="g")plotModel(mod, system="g") + facet_grid( . ~ cyl)# polynomial terms
mod <- lm( mpg ~ wt + I(wt^2), data = mtcars)
plotModel(mod, system="g")# GLM
mod <- glm(vs ~ wt, data=mtcars, family = 'binomial')
plotModel(mod, system="g")# GLM with interaction
mod <- glm(vs ~ wt + factor(cyl), data=mtcars, family = 'binomial')
plotModel(mod, system="g")plotModel(mod, system="g") + facet_grid(. ~ cyl)