xyplot() draws zeta diagrams, also visualizing
confidence intervals and their asymmetry.
densityplot() draws the profile densities.
splom() draws profile pairs plots. Contours are for the
marginal two-dimensional regions (i.e. using df = 2).
"xyplot"(x, data = NULL, levels = sqrt(qchisq(pmax.int(0, pmin.int(1, conf)), df = 1)), conf = c(50, 80, 90, 95, 99)/100, absVal = FALSE, scales=NULL, which = 1:nptot, ...)
"densityplot"(x, data, ...)
"splom"(x, data, levels = sqrt(qchisq(pmax.int(0, pmin.int(1, conf)), 2)), conf = c(50, 80, 90, 95, 99)/100, which = 1:nptot, draw.lower = TRUE, draw.upper = TRUE, ...)conf.abs(.)olute values
should be plotted, often preferred for confidence interval
visualization.xyplotprofile-methods
for details).xyplot,
densityplot, or splom from package
lattice, respectively."trellis" object (lattice package)
which when print()ed produces plots on the current
graphic device."trellis" object, see above."trellis" object, see above.profile, notably for an
example.
## see example("profile.merMod")
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