Nothing
## histogram method reusing flexmix's plot() method
histogram.mptmix <- function(x, data, root = TRUE, ...) {
if(!missing(data)) warning("argument 'data' is ignored")
## just calling plot() within an S3 method does not seem to do the right dispatch
getMethod("plot", c(x = "flexmix", y = "missing"))(as(x, "flexmix"), root = root, ...)
}
## xyplot method
xyplot.mptmix <- function(x, data,
component = NULL, plot.type = c("multiple", "single"),
auto.key = NULL, type = "b", lty = NULL, xlab = "MPT model parameter",
ylab = "Maximum likelihood estimate",
panel = NULL, scales = NULL, index = NULL, ...)
{
## process data
y <- parameters(x)
if(!missing(data)) warning("'data' argument is ignored")
npars <- nrow(y)
yref <- 0.5 # mean(y[, 1L])
# lab <- labels(x)
lab <- gsub("coef\\.", "", rownames(y))
if(is.character(index)) {
rownames(y) <- lab
lab <- index # reorder labels
y <- y[index, ]
}
## select items/components
if(is.null(component)) component <- 1:NCOL(y)
y <- y[, component, drop = FALSE]
## set up auxiliary data.frame
d <- data.frame(
y = as.vector(y),
x = rep(1:npars, length(component)),
z = factor(rep(component, each = npars),
levels = component, labels = paste("Comp.", component))
)
## graphical arguments
plot.type <- match.arg(plot.type)
if(plot.type == "single") {
f <- y ~ x
groups <- ~ z
if(is.null(lty)) lty <- trellis.par.get("superpose.line")$lty
} else {
f <- y ~ x | z
groups <- NULL
if(is.null(lty)) lty <- trellis.par.get("superpose.line")$lty[2]
}
if(is.null(auto.key)) auto.key <- plot.type == "single"
if(is.null(scales)) scales <- list(x = list(at = 1:npars, alternating = 1,
labels = lab))
if(is.null(panel)) panel <- function(x, y, ...) {
panel.xyplot(x, y, ...)
panel.abline(h = yref, reference = TRUE)
}
## call xyplot() formula method
xyplot(f, groups = groups, data = d,
type = type, lty = lty, xlab = xlab, ylab = ylab,
auto.key = auto.key, scales = scales, panel = panel, ...)
}
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