lattice (version 0.17-12)

panel.functions: Useful Panel Functions

Description

These are predefined panel functions available in lattice for use in constructing new panel functions (usually on-the-fly).

Usage

panel.abline(a = NULL, b = 0,
             h = NULL, v = NULL,
             reg = NULL, coef = NULL,
             col, col.line, lty, lwd, alpha, type,
             ...)

panel.curve(expr, from, to, n = 101, curve.type = "l", col, lty, lwd, type, ...) 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, lty, lwd, alpha, ...) panel.average(x, y, fun = mean, horizontal = TRUE, lwd, lty, col, col.line, type, ...) panel.linejoin(x, y, fun = mean, horizontal = TRUE, lwd, lty, col, col.line, type, ...)panel.fill(col, border, ...) 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, type, horizontal = FALSE, ...) panel.mathdensity(dmath = dnorm, args = list(mean=0, sd=1), n = 50, col, col.line, lwd, lty, type, ...)

Arguments

x, y
variables defining the contents of the panel
a, b
Coefficients of the line to be added by panel.abline. a can be a vector of length 2, representing the coefficients of the line to be added, in which case b should be missing. a can also be
coef
Coefficients of the line to be added as a length 2 vector
reg
A regression object. The corresponding fitted line will be drawn
h, v
For panel.abline, these are numeric vectors giving locations respectively of horizontal and vertical lines to be added to the plot, in native coordinates. For panel.grid, these usually specify the number of horizonta
expr
expression as a function of x or a function to plot as a curve
n
the number of points to use for drawing the curve
regular
logical indicating whether the rug is to be drawn on the regular side (left / bottom) or not (right / top)
start, end
endpoints of rug segments, in normalized parent coordinates (between 0 and 1). Defaults depend on value of regular, and cover 3% of the panel width and height
x.units, y.units
character vector, replicated to be of length two. Specifies the (grid) units associated with start and end above. x.units and y.units are for the rug on the x-axis and y-axis respectively (a
from, to
optional lower and upper x-limits of curve. If missing, limits of current panel are used
curve.type
type of curve ("p" for points, etc), passed to llines
col, col.line, lty, lwd, alpha, border
graphical parameters
type
passed on to panel.points by panel.average, but is usually ignored by the other panel functions documented here. In such cases, the argument is present only to make sure an ex
span, degree, family, evaluation
arguments to loess.smooth, for which panel.loess is essentially a wrapper.
fun
the function that will be applied to the subset of x(y) determined by the unique values of y(x)
horizontal
logical. If FALSE, the plot is transposed in the sense that the behaviours of x and y are switched. x is now the factor. Interpretation of other arguments change accordingly. See documentation of
dmath
A vectorized function that produces density values given a numeric vector named x, e.g., dnorm
args
list giving additional arguments to be passed to dmath
...
graphical parameters can be supplied. see function definition for details. Color can usually be specified by col, col.line and col.symbol, the last two overriding the first for lines and points respective

Details

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.average 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.linejoin is an alias for panel.average retained for back-compatibility and may go away in future.

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)).

See Also

loess.smooth, panel.axis, panel.identify identify, trellis.par.get