R: Plot cumulative residuals from a 'cumres' object
plot.cumres
R Documentation
Plot cumulative residuals from a 'cumres' object
Description
plot displays the observed cumulative residual
process with realizations under the null. 95% prediction
bands
Usage
## S3 method for class 'cumres'
plot(x, idx = 1:length(x$variable),
col = c("grey"), ci = TRUE, col.ci = "darkblue",
col.alpha = 0.3, lty.ci = 0, level = 0.95,
legend = c("type1", "type2", "none"), xlab, ylab,
vs = TRUE, ylim = NULL, title, ...)
Arguments
x
Object produced by the function cumres.
idx
vector of numbers (or variable names)
indicating which processes from the x to plot.
col
Color of the sample processes. By setting this
parameter to "none" or NULL no realizations will
be drawn. The number of realizations is determined by the
cumres-object.
ci
Type of prediction bands to plot. Defaults to
none. Set to TRUE to obtain simultaneous
prediction bands under the null (pointwise can be
obtained by setting to "pointwise").
col.ci
Color of prediction band.
col.alpha
Degree of transparency (0-1) of the
prediction bands.
lty.ci
Line type of prediction band.
level
The required prediction level.
legend
Type of legend where "type1" gives p-values
of GoF-tests and "type2" gives usual type of legends.
xlab
Optional label of x-axis
ylab
Optional label of y-axis
vs
Label of predictor
ylim
Range of y axis
title
Main title
...
Additional arguments passed to the
plot-routine.
Author(s)
Klaus K. Holst <kkho@biostat.ku.dk>
See Also
cumres
Examples
n <- 500; x <- abs(rnorm(n,sd=0.2))+0.01; y <- sqrt(x) + rnorm(n,sd=0.2)
l <- lm(y ~ x)
g <- cumres(l, R=500)
plot(g, idx=1, ci="sim", col=NULL, col.ci="purple", legend="type2")
providing 
.