plot.cumres {gof}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"), ylim=NULL,
                        ...)

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.
ylim Range of y axis.
... 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=1000)
plot(g, idx=1, ci="sim", col=NULL, col.ci="purple", legend="type2")

[Package gof version 0.6-2 Index]