F_3_prepanel.functions | R Documentation |
These are predefined prepanel functions available in Lattice.
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)
x, y |
x and y values, numeric or factor |
distribution |
quantile function for theoretical
distribution. This is automatically passed in when this is used as a
prepanel function in |
qtype |
type of |
probs |
numeric vector of length two, representing probabilities. If used
with |
span, degree, family, evaluation |
Arguments controlling the
underlying |
horizontal, npoints |
See documentation for corresponding panel function. |
keep.data |
Ignored. Present to capture argument of the same
name in |
groups, subscripts |
See |
... |
Other arguments. These are passed on to other functions
if appropriate (in particular, |
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.
usually a list with components 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
Deepayan Sarkar Deepayan.Sarkar@R-project.org
Lattice, xyplot
, banking
,
panel.loess
, panel.spline
.
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