\name{F_2_panel.functions} \alias{panel.functions} %% Not data-dependent \alias{panel.abline} \alias{panel.refline} \alias{panel.curve} \alias{panel.fill} \alias{panel.grid} \alias{panel.mathdensity} %% Data-dependent \alias{panel.rug} \alias{panel.lmline} \alias{panel.average} \alias{panel.linejoin} \title{Useful Panel Function Components} \description{ These are predefined panel functions available in lattice for use in constructing new panel functions (often 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, \dots, reference = FALSE, identifier = "abline") panel.refline(\dots) panel.curve(expr, from, to, n = 101, curve.type = "l", col, lty, lwd, type, \dots, identifier = "curve") 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, col.line, lty, lwd, alpha, \dots, identifier = "rug") panel.average(x, y, fun = mean, horizontal = TRUE, lwd, lty, col, col.line, type, \dots, identifier = "linejoin") panel.linejoin(x, y, fun = mean, horizontal = TRUE, lwd, lty, col, col.line, type, \dots, identifier = "linejoin") % panel.abline(a, b, \dots) % panel.abline(coef, \dots) % panel.abline(reg, \dots) % panel.abline(h= ,v= , \dots) panel.fill(col, border, \dots, identifier = "fill") panel.grid(h=3, v=3, col, col.line, lty, lwd, x, y, \dots, identifier = "grid") panel.lmline(x, y, \dots, identifier = "lmline") panel.mathdensity(dmath = dnorm, args = list(mean=0, sd=1), n = 50, col, col.line, lwd, lty, type, \dots, identifier = "mathdensity") } \arguments{ \item{x, y}{ Variables defining the contents of the panel. In \code{panel.grid} these are optional and are used only to choose an appropriate method of \code{\link{pretty}}. } \item{a, b}{ Coefficients of the line to be added by \code{panel.abline}. \code{a} can be a vector of length 2, representing the coefficients of the line to be added, in which case \code{b} should be missing. \code{a} can also be an appropriate \sQuote{regression} object, i.e., an object which has a \code{\link{coef}} method that returns a length 2 numeric vector. The corresponding line will be plotted. The \code{reg} argument overrides \code{a} if specified. } \item{coef}{ Coefficients of the line to be added as a vector of length 2. } \item{reg}{ A (linear) regression object, with a \code{\link{coef}} method that gives the coefficints of the corresponding regression line. } \item{h, v}{ For \code{panel.abline}, these are numeric vectors giving locations respectively of horizontal and vertical lines to be added to the plot, in native coordinates. For \code{panel.grid}, these usually specify the number of horizontal and vertical reference lines to be added to the plot. Alternatively, they can be negative numbers. \code{h=-1} and \code{v=-1} are intended to make the grids aligned with the axis labels. This doesn't always work; all that actually happens is that the locations are chosen using \code{pretty}, which is also how the label positions are chosen in the most common cases (but not for factor variables, for instance). \code{h} and \code{v} can be negative numbers other than \code{-1}, in which case \code{-h} and \code{-v} (as appropriate) is supplied as the \code{n} argument to \code{\link{pretty}}. If \code{x} and/or \code{y} are specified in \code{panel.grid}, they will be used to select an appropriate method for \code{\link{pretty}}. This is particularly useful while plotting date-time objects. } \item{reference}{ A logical flag determining whether the default graphical parameters for \code{panel.abline} should be taken from the \dQuote{reference.line} parameter settings. The default is to take them from the \dQuote{add.line} settings. The \code{panel.refline} function is a wrapper around \code{panel.abline} that calls it with \code{reference = TRUE}. } \item{expr}{ An expression considered as a function of \code{x}, or a function, to be plotted as a curve. } \item{n}{ The number of points to use for drawing the curve. } \item{from, to}{ optional lower and upper x-limits of curve. If missing, limits of current panel are used } \item{curve.type}{ Type of curve (\code{"p"} for points, etc), passed to \code{\link{llines}} } \item{regular}{ A logical flag indicating whether the \sQuote{rug} is to be drawn on the \sQuote{regular} side (left / bottom) or not (right / top). } \item{start, end}{ endpoints of rug segments, in normalized parent coordinates (between 0 and 1). Defaults depend on value of \code{regular}, and cover 3\% of the panel width and height. } \item{x.units, y.units}{ Character vectors, replicated to be of length two. Specifies the (grid) units associated with \code{start} and \code{end} above. \code{x.units} and \code{y.units} are for the rug on the x-axis and y-axis respectively (and thus are associated with \code{start} and \code{end} values on the y and x scales respectively). } \item{col, col.line, lty, lwd, alpha, border}{ Graphical parameters. } \item{type}{ Usually ignored by the panel functions documented here; the argument is present only to make sure an explicitly specified \code{type} argument (perhaps meant for another function) does not affect the display. } \item{fun}{ The function that will be applied to the subset of \code{x} values (or \code{y} if \code{horizontal} is \code{FALSE}) determined by the unique values of \code{y} (\code{x}). } \item{horizontal}{ A logical flag. If \code{FALSE}, the plot is \sQuote{transposed} in the sense that the roles of \code{x} and \code{y} are switched; \code{x} is now the \sQuote{factor}. Interpretation of other arguments change accordingly. See documentation of \code{\link{bwplot}} for a fuller explanation. } \item{dmath}{ A vectorized function that produces density values given a numeric vector named \code{x}, e.g., \code{\link{dnorm}}. } \item{args}{ A list giving additional arguments to be passed to \code{dmath}. } \item{\dots}{ Further arguments, typically graphical parameters, passed on to other low-level functions as appropriate. Color can usually be specified by \code{col}, \code{col.line}, and \code{col.symbol}, the last two overriding the first for lines and points respectively. } \item{identifier}{ A character string that is prepended to the names of grobs that are created by this panel function. } } \details{ \code{panel.abline} adds a line of the form \code{y = a + b * x}, or vertical and/or horizontal lines. Graphical parameters are obtained from the \dQuote{add.line} settings by default. \code{panel.refline} is similar, but uses the \dQuote{reference.line} settings for the defaults. \code{panel.grid} draws a reference grid. \code{panel.curve} adds a curve, similar to what \code{\link{curve}} does with \code{add = TRUE}. Graphical parameters for the curve are obtained from the \dQuote{add.line} setting. \code{panel.average} treats one of \code{x} and \code{y} as a factor (according to the value of \code{horizontal}), calculates \code{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 \code{panel.xyplot}, and more commonly with \code{\link{panel.superpose}} to produce interaction plots. \code{panel.linejoin} is an alias for \code{panel.average}. It is retained for back-compatibility, and may go away in future. \code{panel.mathdensity} plots a (usually theoretical) probability density function. This can be useful in conjunction with \code{histogram} and \code{densityplot} to visually assess goodness of fit (note, however, that \code{qqmath} is more suitable for this). \code{panel.rug} adds a \emph{rug} representation of the (marginal) data to the panel, much like \code{\link{rug}}. \code{panel.lmline(x, y)} is equivalent to \code{panel.abline(lm(y ~ x))}. } \seealso{ \link{Lattice}, \code{\link{panel.axis}}, \code{\link{panel.identify}} \code{\link{identify}}, \code{\link{trellis.par.set}}. } \examples{ ## Interaction Plot bwplot(yield ~ site, barley, groups = year, panel = function(x, y, groups, subscripts, ...) { panel.grid(h = -1, v = 0) panel.stripplot(x, y, ..., jitter.data = TRUE, groups = groups, subscripts = subscripts) panel.superpose(x, y, ..., panel.groups = panel.average, groups = groups, subscripts = subscripts) }, auto.key = list(points = FALSE, lines = TRUE, columns = 2)) ## Superposing a fitted normal density on a Histogram histogram( ~ height | voice.part, data = singer, layout = c(2, 4), type = "density", border = "transparent", col.line = "grey60", xlab = "Height (inches)", ylab = "Density Histogram\n with Normal Fit", panel = function(x, ...) { panel.histogram(x, ...) panel.mathdensity(dmath = dnorm, args = list(mean=mean(x),sd=sd(x)), ...) } ) } \author{ Deepayan Sarkar \email{Deepayan.Sarkar@R-project.org}} \keyword{dplot}