panel.abline(a, b = NULL, h = numeric(0), v = numeric(0),
col, col.line, lty, lwd, ...)panel.curve(expr, from, to, n = 101,
curve.type = "l",
col = add.line$col,
lty = add.line$lty,
lwd = add.line$lwd,
type = NULL,
...)
panel.rug(x = NULL, y = NULL,
regular = TRUE,
start = if (regular) 0 else 0.97,
end = if (regular) 0.03 else 1,
x.units = rep("npc", 2),
y.units = rep("npc", 2),
col = add.line$col,
lty = add.line$lty,
lwd = add.line$lwd,
alpha = add.line$alpha,
...)
panel.linejoin(x, y, fun = mean, horizontal = TRUE, lwd = reference.line$lwd,
lty = reference.line$lty, col, col.line = reference.line$col,
...)panel.fill(col, ...)
panel.grid(h=3, v=3, col, col.line, lty, lwd, ...)
panel.lmline(x, y, ...)
panel.loess(x, y, span = 2/3, degree = 1,
family = c("symmetric", "gaussian"),
evaluation = 50,
lwd, lty, col, col.line, ...)
panel.mathdensity(dmath = dnorm, args = list(mean=0, sd=1),
n = 50, col, col.line, lwd, lty, ...)
panel.abline adds a line of the form y=a+bx or vertical
and/or horizontal lines. Graphical parameters are obtained from
reference.line for panel.grid, and add.line for the
others (can be set using trellis.par.set ) panel.curve adds a curve, similar to what curve does
with add = TRUE. Graphical parameters for the line are obtained
from the add.line setting.
panel.linejoin treats one of x and y as a factor (according to
the value of horizontal), calculates fun applied to the
subsets of the other variable determined by each unique value of the
factor, and joins them by a line. Can be used in conjunction with
panel.xyplot and more commonly with panel.superpose to produce
interaction plots. See xyplot documentation for an
example.
panel.mathdensity plots a (usually theoretical) probability
density function. This can be useful in conjunction with
histogram and densityplot to visually estimate goodness
of fit (note, however, that qqmath is more suitable for this).
panel.rug adds a rug representation of the (marginal)
data to the panel, much like rug.
panel.lmline(x, y) is equivalent to
panel.abline(lm(y~x)).
loess.smooth,
panel.axis, panel.identify
identify, trellis.par.get