https://github.com/cran/lattice
Tip revision: b4c0d4f8b10e5f3b5037f294baacdc78d72b26e3 authored by Deepayan Sarkar on 01 September 2002, 00:00:00 UTC
version 0.5-6
version 0.5-6
Tip revision: b4c0d4f
levelplot.Rd
% $Id: levelplot.Rd,v 1.11 2002/04/15 15:57:24 deepayan Exp $
\name{levelplot}
\title{Level Plots}
\synopsis{
levelplot(formula, data = parent.frame(), aspect = "fill", layout = NULL,
panel = "panel.levelplot", prepanel = NULL, scales = list(),
strip = TRUE, groups = NULL, xlab, xlim, ylab, ylim, at,
col.regions = terrain.colors(length(at) - 1), colorkey = NULL,
contour = FALSE, cuts = 15, labels = format(at), pretty = FALSE,
region = TRUE, ..., subscripts = TRUE, subset = TRUE)
contourplot(formula,
data = parent.frame(),
aspect = "fill",
layout = NULL,
panel = "panel.levelplot",
prepanel = NULL,
scales = list(),
strip = TRUE,
groups = NULL,
xlab,
xlim,
ylab,
ylim,
cuts = 7,
contour = TRUE,
pretty = TRUE,
region = FALSE,
...,
subscripts = TRUE,
subset = TRUE)
}
\usage{
levelplot(formula, data,
at,
col.regions = trellis.par.get("regions")$col,
colorkey = region,
contour = FALSE,
cuts = 15,
labels = format(at),
pretty = FALSE,
region = TRUE,
...)
contourplot(formula, data, at,
contour = TRUE,
cuts = 7,
pretty = TRUE,
...)
}
\description{
Draw Level Plots and Contour plots.
}
\alias{levelplot}
\alias{contourplot}
\arguments{
\item{formula}{a formula of the form \code{z ~ x * y | g1 * g2 * ...},
where \code{z} is a numeric response, and \code{x, y} are numeric
values evaluated on a rectangular grid.
\code{g1,g2,...}, if present, must be either factors or shingles.
Calculations are based on the assumption that all x and y values are
evaluated on a grid (defined by \code{(unique(x))} and
\code{(unique(y))}. The function will not return an error if this is
not true, but the display might be nonsense.
However, the x and y values need not be equally spaced. See example
below with log scales.
As an extension to partially support the form used in
\code{filled.contour} and \code{image}, \code{formula} can be a
matrix.
}
\item{data}{
optional data frame in which variables are to be evaluated
}
\item{at}{
numeric vector giving breaks along the range of \code{z}. Contours
(if any) will be drawn at these heights, and the regions in between
would be colored using \code{col.regions}.
}
\item{col.regions}{color vector to be used if regions is TRUE}
\item{colorkey}{logical specifying whether a color key is to be drawn
alongside the plot, or a list describing the color key. The list may
contain the following components:
\code{space} location of the colorkey, can be one of ``left'',
``right'', ``top'' and ``bottom''. Defaults to ``right''.
\code{x,y} location, unused
\code{col} vector of colors
\code{at} numeric vector specifying where the colors change. must be
of length 1 more than the col vector.
\code{labels} a character vector for labelling the \code{at} values,
or more commonly, a list of components \code{labels, at, cex, col,
font} describing label positions.
\code{tick.number} approximate number of ticks.
\code{corner} interacts with x, y; unimplemented
\code{width} width of the key in terms of character widths
\code{height} length of key w.r.t side of plot.
}
\item{contour}{ logical, whether to draw contour lines.
}
\item{cuts}{ number of levels the range of \code{z} would be divided into}
\item{labels}{ character vector of labels for contour lines, not
implemented yet.}
\item{pretty}{ logical, whether to use pretty labels}
\item{region}{ logical, whether regions between contour lines should
be filled
}
\item{\dots}{other arguments}
}
\details{
These and all other high level Trellis functions have several
arguments in common. These are extensively documented only in the
help page for \code{xyplot}, which should be consulted to learn more
detailed usage.
}
\seealso{
\code{\link{xyplot}}, \code{\link{Lattice}}, \code{\link{panel.levelplot}}
}
\author{Deepayan Sarkar \email{deepayan@stat.wisc.edu}}
\examples{
x <- seq(pi/4, 5*pi, length = 100)
y <- seq(pi/4, 5*pi, length = 100)
r <- as.vector(sqrt(outer(x^2, y^2, "+")))
grid <- expand.grid(x=x, y=y)
grid$z <- cos(r^2) * exp(-r/(pi^3))
levelplot(z~x*y, grid, cuts = 50, xlab="", ylab="",
main="Weird Function", colorkey = FALSE)
levelplot(z~x*y, grid, cuts = 50, scales=list(log="e"), xlab="",
ylab="", main="Weird Function", sub="with log scales",
colorkey = FALSE, region = TRUE)
#S+ example
data(environmental)
attach(environmental)
ozo.m <- loess((ozone^(1/3)) ~ wind * temperature * radiation,
parametric = c("radiation", "wind"), span = 1, degree = 2)
w.marginal <- seq(min(wind), max(wind), length = 50)
t.marginal <- seq(min(temperature), max(temperature), length = 50)
r.marginal <- seq(min(radiation), max(radiation), length = 4)
wtr.marginal <- list(wind = w.marginal, temperature = t.marginal,
radiation = r.marginal)
grid <- expand.grid(wtr.marginal)
grid[, "fit"] <- c(predict(ozo.m, grid))
contourplot(fit ~ wind * temperature | radiation, data = grid,
cuts = 10, region = TRUE,
xlab = "Wind Speed (mph)",
ylab = "Temperature (F)",
main = "Cube Root Ozone (cube root ppb)",
col.regions = trellis.par.get("regions")$col)
detach()
}
\keyword{hplot}