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### Copyright (C) 2001-2006 Deepayan Sarkar <Deepayan.Sarkar@R-project.org>
###
### This file is part of the lattice package for R.
### It is made available under the terms of the GNU General Public
### License, version 2, or at your option, any later version,
### incorporated herein by reference.
###
### This program is distributed in the hope that it will be
### useful, but WITHOUT ANY WARRANTY; without even the implied
### warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
### PURPOSE. See the GNU General Public License for more
### details.
###
### You should have received a copy of the GNU General Public
### License along with this program; if not, write to the Free
### Software Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston,
### MA 02110-1301, USA
prepanel.default.xyplot <-
function(x, y, type, subscripts, groups = NULL, ...)
{
## Note: shingles satisfy is.numeric()
if (any(!is.na(x)) && any(!is.na(y)))
{
ord <- order(as.numeric(x))
if (!is.null(groups))
{
gg <- groups[subscripts]
dx <- unlist(lapply(split(as.numeric(x)[ord], gg[ord]), diff))
dy <- unlist(lapply(split(as.numeric(y)[ord], gg[ord]), diff))
## ok <- !is.na(gg)
## One may argue that points with is.na(gg) should be
## excluded from the data rectangle since they are not
## plotted. For now I'm going to take the other view,
## namely that the points are there, they just happen to
## be invisible because the value of the variable defining
## their graphical parameters is unknown.
}
else
{
dx <- diff(as.numeric(x[ord]))
dy <- diff(as.numeric(y[ord]))
## ok <- TRUE
}
list(xlim = scale_limits(x), ylim = scale_limits(y), dx = dx, dy = dy,
xat = if (is.factor(x)) sort(unique(as.numeric(x))) else NULL,
yat = if (is.factor(y)) sort(unique(as.numeric(y))) else NULL)
}
else prepanel.null()
}
panel.xyplot <-
function(x, y, type = "p",
groups = NULL,
pch = if (is.null(groups)) plot.symbol$pch else superpose.symbol$pch,
col,
col.line = if (is.null(groups)) plot.line$col else superpose.line$col,
col.symbol = if (is.null(groups)) plot.symbol$col else superpose.symbol$col,
font = if (is.null(groups)) plot.symbol$font else superpose.symbol$font,
fontfamily = if (is.null(groups)) plot.symbol$fontfamily else superpose.symbol$fontfamily,
fontface = if (is.null(groups)) plot.symbol$fontface else superpose.symbol$fontface,
lty = if (is.null(groups)) plot.line$lty else superpose.line$lty,
cex = if (is.null(groups)) plot.symbol$cex else superpose.symbol$cex,
fill = if (is.null(groups)) plot.symbol$fill else superpose.symbol$fill,
lwd = if (is.null(groups)) plot.line$lwd else superpose.line$lwd,
horizontal = FALSE,
...,
smooth = NULL,
grid = lattice.getOption("default.args")$grid,
abline = NULL,
jitter.x = FALSE, jitter.y = FALSE,
factor = 0.5, amount = NULL,
identifier = "xyplot")
{
plot.symbol <- trellis.par.get("plot.symbol")
plot.line <- trellis.par.get("plot.line")
superpose.symbol <- trellis.par.get("superpose.symbol")
superpose.line <- trellis.par.get("superpose.line")
if (!missing(col))
{
if (missing(col.line)) col.line <- col
if (missing(col.symbol)) col.symbol <- col
}
if (missing(grid) && ("g" %in% type)) grid <- TRUE ## FIXME: what if list?
if (!isFALSE(grid))
{
if (!is.list(grid))
grid <- switch(as.character(grid),
"TRUE" = list(h = -1, v = -1, x = x, y = y),
"h" = list(h = -1, v = 0, y = y),
"v" = list(h = 0, v = -1, x = x),
list(h = 0, v = 0))
do.call(panel.grid, grid)
}
if (!is.null(abline))
{
if (is.numeric(abline)) abline <- list(abline)
do.call(panel.abline, abline)
}
if (all(is.na(x) | is.na(y))) return()
if (!is.null(groups))
panel.superpose(x, y,
type = type,
groups = groups,
pch = pch,
col.line = col.line,
col.symbol = col.symbol,
font = font,
fontfamily = fontfamily,
fontface = fontface,
lty = lty,
cex = cex,
fill = fill,
lwd = lwd,
horizontal = horizontal,
panel.groups = panel.xyplot,
jitter.x = jitter.x,
jitter.y = jitter.y,
factor = factor,
amount = amount,
grid = FALSE, ## grid=TRUE/type="g" already handled
...)
else
{
x <- as.numeric(x)
y <- as.numeric(y)
id <- identifier
if ("o" %in% type || "b" %in% type) type <- c(type, "p", "l")
if ("p" %in% type)
panel.points(x = if (jitter.x) jitter(x, factor = factor, amount = amount) else x,
y = if (jitter.y) jitter(y, factor = factor, amount = amount) else y,
cex = cex,
fill = fill,
font = font,
fontfamily = fontfamily,
fontface = fontface,
col = col.symbol,
pch = pch, ...,
identifier = id)
if ("l" %in% type)
panel.lines(x = x, y = y, lty = lty, col = col.line, lwd = lwd,
..., identifier = id)
if ("h" %in% type)
{
if (horizontal)
panel.lines(x = x, y = y, type = "H",
lty = lty, col = col.line, lwd = lwd,
..., identifier = id)
else
panel.lines(x = x, y = y, type = "h",
lty = lty, col = col.line, lwd = lwd,
..., identifier = id)
}
## FIXME: should this be delegated to llines with type='s'?
if ("s" %in% type)
{
ord <- if (horizontal) sort.list(y) else sort.list(x)
n <- length(x)
xx <- numeric(2*n-1)
yy <- numeric(2*n-1)
xx[2*1:n-1] <- x[ord]
yy[2*1:n-1] <- y[ord]
xx[2*1:(n-1)] <- x[ord][-1]
yy[2*1:(n-1)] <- y[ord][-n]
panel.lines(x = xx, y = yy,
lty = lty, col = col.line, lwd = lwd, ...,
identifier = id)
}
if ("S" %in% type)
{
ord <- if (horizontal) sort.list(y) else sort.list(x)
n <- length(x)
xx <- numeric(2*n-1)
yy <- numeric(2*n-1)
xx[2*1:n-1] <- x[ord]
yy[2*1:n-1] <- y[ord]
xx[2*1:(n-1)] <- x[ord][-n]
yy[2*1:(n-1)] <- y[ord][-1]
panel.lines(x = xx, y = yy,
lty = lty, col = col.line, lwd = lwd,
..., identifier = id)
}
smooth <- if (!is.null(smooth) && isTRUE(smooth)) "loess"
else as.character(smooth)
if ("r" %in% type || "lm" %in% smooth)
panel.lmline(x, y, col = col.line, lty = lty, lwd = lwd, ...)
if ("smooth" %in% type || "loess" %in% smooth)
panel.loess(x, y, horizontal = horizontal,
col = col.line, lty = lty, lwd = lwd, ...)
if ("spline" %in% type || "spline" %in% smooth)
panel.spline(x, y, horizontal = horizontal,
col = col.line, lty = lty, lwd = lwd, ...)
if ("a" %in% type || "average" %in% smooth)
panel.average(x, y,
horizontal = horizontal,
lwd = lwd,
lty = lty,
col.line = col.line,
...)
}
}
xyplot <- function(x, data, ...) UseMethod("xyplot")
## xyplot.default <-
## function(x, data = NULL,
## formula = try(stats::formula(x), silent = TRUE),
## ...)
## {
## ocall <- sys.call(); ocall[[1]] <- quote(xyplot)
## ccall <- match.call()
## if (!is.null(ccall$data))
## warning("explicit 'data' specification ignored")
## if (!inherits(formula, "formula")) formula = y ~ x
## ccall$data <- x
## ccall$x <- formula
## ccall$formula <- NULL
## ccall[[1]] <- quote(lattice::xyplot)
## ans <- eval.parent(ccall)
## ans$call <- ocall
## ans
## }
xyplot.formula <-
function(x,
data = NULL,
allow.multiple = is.null(groups) || outer,
outer = !is.null(groups),
auto.key = lattice.getOption("default.args")$auto.key,
aspect = "fill",
panel = lattice.getOption("panel.xyplot"),
prepanel = NULL,
scales = list(),
strip = TRUE,
groups = NULL,
xlab,
xlim,
ylab,
ylim,
drop.unused.levels = lattice.getOption("drop.unused.levels"),
...,
lattice.options = NULL,
default.scales = list(),
default.prepanel = lattice.getOption("prepanel.default.xyplot"),
subscripts = !is.null(groups),
subset = TRUE)
{
formula <- x
dots <- list(...)
groups <- eval(substitute(groups), data, environment(x))
subset <- eval(substitute(subset), data, environment(x))
if (!is.null(lattice.options))
{
oopt <- lattice.options(lattice.options)
on.exit(lattice.options(oopt), add = TRUE)
}
## Step 1: Evaluate x, y, etc. and do some preprocessing
form <-
latticeParseFormula(formula, data, subset = subset,
groups = groups, multiple = allow.multiple,
outer = outer, subscripts = TRUE,
drop = drop.unused.levels)
groups <- form$groups
if (!is.function(panel)) panel <- eval(panel)
if (!is.function(strip)) strip <- eval(strip)
if ("subscripts" %in% names(formals(panel))) subscripts <- TRUE
if (subscripts) subscr <- form$subscr
cond <- form$condition
y <- form$left
x <- form$right
if (length(cond) == 0)
{
strip <- FALSE
cond <- list(gl(1, length(x)))
}
if (missing(xlab)) xlab <- form$right.name
if (missing(ylab)) ylab <- form$left.name
## S-PLUS requires both x and y to be numeric, but we
## don't. Question is, should we give a warning ? Nope.
##if (!(is.numeric(x) && is.numeric(y)))
## warning("x and y are not both numeric")
## create a skeleton trellis object with the
## less complicated components:
foo <-
do.call("trellis.skeleton",
c(list(formula = formula,
cond = cond,
aspect = aspect,
strip = strip,
panel = panel,
xlab = xlab,
ylab = ylab,
xlab.default = form$right.name,
ylab.default = form$left.name,
lattice.options = lattice.options), dots),
quote = TRUE)
dots <- foo$dots # arguments not processed by trellis.skeleton
foo <- foo$foo
### FIXME: For a long time, lattice has used
## foo$call <- sys.call(sys.parent()); foo$call[[1]] <- quote(xyplot)
### But this doesn't work in all contexts; e.g.,
### with(cars, xyplot(speed ~ dist))$call
### This works better, but is NOT OK for other methods that call
### xyplot.formula(). So EVERY METHOD must include this line of code
### to get the correct call component
foo$call <- sys.call(); foo$call[[1]] <- quote(xyplot)
## Step 2: Compute scales.common (leaving out limits for now)
if (is.character(scales)) scales <- list(relation = scales)
scales <- updateList(default.scales, scales)
foo <- c(foo, do.call("construct.scales", scales))
## Step 3: Decide if limits were specified in call:
have.xlim <- !missing(xlim)
if (!is.null(foo$x.scales$limits)) # override xlim
{
have.xlim <- TRUE
xlim <- foo$x.scales$limits
}
have.ylim <- !missing(ylim)
if (!is.null(foo$y.scales$limits))
{
have.ylim <- TRUE
ylim <- foo$y.scales$limits
}
## Step 4: Decide if log scales are being used:
have.xlog <- !is.logical(foo$x.scales$log) || foo$x.scales$log
have.ylog <- !is.logical(foo$y.scales$log) || foo$y.scales$log
if (have.xlog)
{
xlog <- foo$x.scales$log
xbase <-
if (is.logical(xlog)) 10
else if (is.numeric(xlog)) xlog
else if (xlog == "e") exp(1)
x <- log(x, xbase)
if (have.xlim) xlim <- logLimits(xlim, xbase)
}
if (have.ylog)
{
ylog <- foo$y.scales$log
ybase <-
if (is.logical(ylog)) 10
else if (is.numeric(ylog)) ylog
else if (ylog == "e") exp(1)
y <- log(y, ybase)
if (have.ylim) ylim <- logLimits(ylim, ybase)
}
## Step 5: Process cond
cond.max.level <- unlist(lapply(cond, nlevels))
## Step 6: Determine packets
foo$panel.args.common <- dots
if (subscripts) foo$panel.args.common$groups <- groups
npackets <- prod(cond.max.level)
if (npackets != prod(sapply(foo$condlevels, length)))
stop("mismatch in number of packets")
foo$panel.args <- vector(mode = "list", length = npackets)
foo$packet.sizes <- numeric(npackets)
if (npackets > 1)
{
dim(foo$packet.sizes) <- sapply(foo$condlevels, length)
dimnames(foo$packet.sizes) <- lapply(foo$condlevels, as.character)
}
##
cond.current.level <- rep(1, length(cond))
for (packet.number in seq_len(npackets))
{
id <- compute.packet(cond, cond.current.level)
foo$packet.sizes[packet.number] <- sum(id)
foo$panel.args[[packet.number]] <-
list(x = x[id], y = y[id])
if (subscripts)
foo$panel.args[[packet.number]]$subscripts <-
subscr[id]
cond.current.level <-
cupdate(cond.current.level,
cond.max.level)
}
## FIXME: make this adjustment everywhere else
more.comp <-
c(limits.and.aspect(default.prepanel,
prepanel = prepanel,
have.xlim = have.xlim, xlim = xlim,
have.ylim = have.ylim, ylim = ylim,
x.relation = foo$x.scales$relation,
y.relation = foo$y.scales$relation,
panel.args.common = foo$panel.args.common,
panel.args = foo$panel.args,
aspect = aspect,
npackets = npackets,
x.axs = foo$x.scales$axs,
y.axs = foo$y.scales$axs),
cond.orders(foo))
foo[names(more.comp)] <- more.comp
if (is.null(foo$legend) && needAutoKey(auto.key, groups))
{
# provide smart defaults for auto key based on 'type'
type <- dots$type
if (is.character(type) && length(type) > 0)
{
points <- any(type %in% "p")
lines <- any(type %in% c("l", "b", "o", "h", "s", "S", "a",
"smooth", "spline", "r"))
keytype <- if (any(type %in% c("b", "o"))) "o" else "l"
}
else
{
points <- TRUE
lines <- FALSE
keytype <- "l"
}
foo$legend <-
autoKeyLegend(list(text = levels(as.factor(groups)),
points = points,
rectangles = FALSE,
lines = lines,
type = keytype),
auto.key)
}
class(foo) <- "trellis"
foo
}
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