arm: residual.plot – R documentation

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arm

residual.plot

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 yajima@stat.columbia.edu, M.Grazia Pittau grazia@stat.columbia.edu

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

Data Analysis Using Regression and Multilevel/Hierarchical Models

v1.11-2

GPL (> 2)

Authors

Andrew Gelman [aut], Yu-Sung Su [aut, cre], Masanao Yajima [ctb], Jennifer Hill [ctb], Maria Grazia Pittau [ctb], Jouni Kerman [ctb], Tian Zheng [ctb], Vincent Dorie [ctb]

Initial release

2020-7-27