lattice (version 0.11-8)

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, b, ...)
panel.abline(coef, ...)
panel.abline(reg, ...)
panel.abline(h= ,v= , ...)
panel.curve(expr, from, to, n = 101,
            curve.type = "l", ...)
panel.rug(x = NULL, y = NULL,
          regular = TRUE, start, end, ...)
panel.fill(col="grey", ...)
panel.grid(h=3, v=3, ...)
panel.lmline(x,y,...) = panel.abline(lm(y~x), ...)
panel.loess(x, y, span = 2/3, degree = 1,
            family = c("symmetric", "gaussian"),
            evaluation = 50, ...)
panel.linejoin(x, y, fun = mean, horizontal = TRUE, ...)
panel.mathdensity(dmath = dnorm, args = list(mean=0, sd=1))

synopsis

panel.abline(a, b = NULL, h = numeric(0), v = numeric(0), col, col.line = add.line$col, lty = add.line$lty, lwd = add.line$lwd, ...) panel.curve(expr, from, to, n = 101, curve.type = "l", col = add.line$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, col, ...) panel.linejoin(x, y, fun = mean, horizontal = TRUE, lwd = reference.line$lwd, lty = reference.line$lty, col, col.line = reference.line$col, ...)

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.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. Can be useful in conjunction with histogram and densityplot to visually estimate goodness of fit.

See Also

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