plot.cumres.Rd
plot
displays the observed cumulative residual process with
realizations under the null.
# S3 method for cumres plot( x, idx = seq_along(x$W), col = "purple", col.alpha = 0.3, legend = c("type1", "type2", "none"), xlab, ylab, vs = TRUE, ylim = NULL, title, ... )
x | Object produced by the function |
---|---|
idx | vector of numbers (or variable names) indicating which processes
from the |
col | Color of the sample processes. By setting this parameter to "none"
or |
col.alpha | Transparency-level of plotted sample processes |
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. |
Klaus K. Holst
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, legend="type2")