Sum of Squares Plots — SSplot • fastR2

This function creates plots showing the "consumption" of residual sum of squares resulting from adding predictors to a model.

Usage

SSplot(
  model1,
  model2,
  n = 1,
  col1 = "gray50",
  size1 = 0.6,
  col2 = "navy",
  size2 = 1,
  col3 = "red",
  size3 = 1,
  ...,
  env = parent.frame()
)

Arguments

model1: a linear model
model2: a linear model, often using rand().
n: an integer specifying how many times to regenerate model2.
col1, col2, col3: Colors for the line segments in the plot
size1, size2, size3: Sizes of the line segments in the plot
...: additional arguments (currently ignored)
env: an environment in which to evaluate the models.

Examples

  
SSplot(
  lm(strength ~ limestone + water, data = Concrete),
  lm(strength ~ limestone + rand(7), data = Concrete),
  n = 50) 

if (FALSE) {
SSplot(
  lm(strength ~ water + limestone, data = Concrete),
  lm(strength ~ water + rand(7), data = Concrete),
  n = 1000) 
}