dot-residual.plot: Residual Plots
In jeksterslabds/jeksterslabRplots: Jekster's Lab Plot Utilities

Description Usage Arguments Details Author(s) See Also Examples

Displays a plot with four panels:

residuals vs. fitted values
normal qq plot of residuals
scale location
residuals vs. leverage

1	.residual.plot(yhat, epsilonhat, tepsilonhat, h)

`yhat`	Numeric vector of length `n` or `n` by `1` numeric matrix. n \times 1 vector of predicted values of \mathbf{y} ≤ft( \mathbf{\hat{y}} \right).
`epsilonhat`	Numeric vector of length `n` or `n` by 1 numeric matrix. n \times 1 vector of residuals ≤ft( \boldsymbol{\hat{ε}} \right).
`tepsilonhat`	Numeric vector of length `n` or `n` by 1 numeric matrix. n \times 1 vector of studentized residuals.
`h`	Numeric vector of length `n` or `n` by 1 numeric matrix. n \times 1 vector of leverage values.

Based on the diagnostic plots in the car package.

Ivan Jacob Agaloos Pesigan

Other plotting functions: .scatter.plot()

model <- lm(
  wages ~ gender + race + union + education + experience,
  data = jeksterslabRdatarepo::wages
)
yhat <- as.vector(predict(model))
epsilonhat <- as.vector(residuals(model))
tepsilonhat <- as.vector(rstudent(model))
h <- as.vector(hatvalues(model))
.residual.plot(
  yhat = yhat, tepsilonhat = tepsilonhat,
  epsilonhat = epsilonhat, h = h
)