residual.plot: residual plot for the observed values

In arm: Data Analysis Using Regression and Multilevel/Hierarchical Models

residual plot for the observed values

Description

Plots the residual of observed variable.

Usage

residual.plot(Expected, Residuals, sigma, main = deparse(substitute(Expected)), 
  col.pts = "blue", col.ctr = "red", col.sgm = "black", cex = 0.5, 
  gray.scale = FALSE, xlab = "Predicted", ylab = "Residuals", ...)

Arguments

Expected	Expected value.
Residuals	Residual value.
sigma	Standard error.
main	main for the plot. See plot for detail.
col.pts	Color of the points.
col.ctr	Color of the line at zero.
col.sgm	Color of standard error line.
cex	A numerical value giving the amount by which plotting text and symbols should be magnified relative to the default. See par for detail.
gray.scale	If TRUE, makes the plot into black and white. This option overwrites the color specification. Default is FALSE.
xlab	Label for x axis.
ylab	Label for y axis.
...	Additional parameters passed to plot function.

Value

Plot to visualize pattern of residulal value for the expected value.

Author(s)

Masanao Yajima [e-mail], M.Grazia Pittau [e-mail]

Examples

old.par <- par(no.readonly = TRUE)

x <- rnorm(100)
y <- rnorm(100)
fit <- lm(y~x)
y.hat <- fitted(fit)
u <- resid(fit)
sigma <- sigma.hat(fit)
residual.plot(y.hat, u, sigma)

par(old.par)

arm documentation built on June 25, 2024, 1:14 a.m.