standResidPlot: Create a Standardized Residual Plot

In MichaelJMahometa/SDSRegressionR: Helper functions for Applied Regression Analysis

Description

Produce a Standardized Residual plot. NOT recommended. Use Studentized Deleted Residuals instead.

Usage

standResidPlot(
  obj,
  key.variable = NULL,
  print.obs = FALSE,
  print.plot = TRUE,
  sort.obs = TRUE,
  all.obs = FALSE
)

Arguments

obj	Object from an lm() fiitted equation.
key.variable	Required if lm() data object is of tibble class. Name of the unique key variable (identifier variable). If data object is of data.frame class, this is optional and row.names will be used instead.
print.obs	Logical: Should observations outside the specified sigma level be printed to the console?
print.plot	Logical: Should plot be created?
sort.obs	Logical: Should observations (if print.obs=TRUE) be sorted?
all.obs	Logical: Should all observations be printed?

Details

This functions creates Standardized Residual values for an observation within an lm() model based on the following: (e_i / S_e)

See Also

studResidPlot

Examples

mod <- lm(hp ~ disp, data=mtcars)
summary(mod)
standResidPlot(mod)

MichaelJMahometa/SDSRegressionR documentation built on March 3, 2021, 10:51 p.m.