SSplot: Sum of Squares Plots

In rpruim/fastR2: Foundations and Applications of Statistics Using R (2nd Edition)

Sum of Squares Plots

Description

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) 
## Not run: 
SSplot(
  lm(strength ~ water + limestone, data = Concrete),
  lm(strength ~ water + rand(7), data = Concrete),
  n = 1000) 

## End(Not run)

rpruim/fastR2 documentation built on Nov. 11, 2023, 7:32 a.m.