prepanel.lmline(x, y, ...)
prepanel.qqmathline(x, y = x, distribution = qnorm, probs = c(0.25, 0.75), qtype = 7, groups, subscripts, ...)
prepanel.loess(x, y, span, degree, family, evaluation, horizontal = FALSE, ...)
prepanel.spline(x, y, npoints = 101, horizontal = FALSE, ..., keep.data = FALSE)
qqmath
.
quantile
aspect="xy"
, the aspect ratio will be chosen to make the
line passing through the corresponding quantile pairs as close to 45
degrees as possible.
loess
smooth. smooth.spline
. xyplot
. Whenever
appropriate, calculations are done separately for each group and
then combined. smooth.spline
), and
ignored otherwise. xlim
, ylim
, dx
and
dy
, the first two being used to calculate panel axes limits,
the last two for banking computations. The form of these components
are described under xyplot
. There are also several
prepanel functions that serve as the default for high level functions,
see prepanel.default.xyplot
All these prepanel functions compute the limits to be large enough to contain all points as well as the relevant smooth.
In addition, prepanel.lmline
computes the dx
and
dy
such that it reflects the slope of the linear regression
line; for prepanel.qqmathline
, this is the slope of the line
passing through the quantile pairs specified by probs
. For
prepanel.loess
and prepanel.spline
, dx
and
dy
reflect the piecewise slopes of the nonlinear smooth.