| B_06_levelplot {lattice} | R Documentation |
Draws false color level plots and contour plots.
levelplot(x, data, ...)
contourplot(x, data, ...)
## S3 method for class 'formula'
levelplot(x,
data,
allow.multiple = is.null(groups) || outer,
outer = TRUE,
aspect = "fill",
panel = if (useRaster) lattice.getOption("panel.levelplot.raster")
else lattice.getOption("panel.levelplot"),
prepanel = NULL,
scales = list(),
strip = TRUE,
groups = NULL,
xlab,
xlim,
ylab,
ylim,
at,
cuts = 15,
pretty = FALSE,
region = TRUE,
drop.unused.levels =
lattice.getOption("drop.unused.levels"),
...,
useRaster = FALSE,
lattice.options = NULL,
default.scales = list(),
default.prepanel =
lattice.getOption("prepanel.default.levelplot"),
colorkey = region,
col.regions,
alpha.regions,
subset = TRUE)
## S3 method for class 'formula'
contourplot(x,
data,
panel = lattice.getOption("panel.contourplot"),
default.prepanel =
lattice.getOption("prepanel.default.contourplot"),
cuts = 7,
labels = TRUE,
contour = TRUE,
pretty = TRUE,
region = FALSE,
...)
## S3 method for class 'table'
levelplot(x, data = NULL, aspect = "iso", ..., xlim, ylim)
## S3 method for class 'table'
contourplot(x, data = NULL, aspect = "iso", ..., xlim, ylim)
## S3 method for class 'matrix'
levelplot(x, data = NULL, aspect = "iso",
..., xlim, ylim,
row.values = seq_len(nrow(x)),
column.values = seq_len(ncol(x)))
## S3 method for class 'matrix'
contourplot(x, data = NULL, aspect = "iso",
..., xlim, ylim,
row.values = seq_len(nrow(x)),
column.values = seq_len(ncol(x)))
## S3 method for class 'array'
levelplot(x, data = NULL, ...)
## S3 method for class 'array'
contourplot(x, data = NULL, ...)
x |
for the Calculations are based on the assumption that all x and y values are evaluated on a grid (defined by their unique values). The function will not return an error if this is not true, but the display might not be meaningful. However, the x and y values need not be equally spaced. Both |
data |
For the |
row.values, column.values |
Optional vectors of values that
define the grid when |
panel |
panel function used to create the display, as described in
|
aspect |
For the |
at |
A numeric vector giving breakpoints along the range of
|
col.regions |
color vector to be used if regions is TRUE. The
general idea is that this should be a color vector of moderately
large length (longer than the number of regions. By default this is
100). It is expected that this vector would be gradually varying in
color (so that nearby colors would be similar). When the colors are
actually chosen, they are chosen to be equally spaced along this
vector. When there are more regions than colors in
|
alpha.regions |
numeric, specifying alpha transparency (works only on some devices) |
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:
|
contour |
A logical flag, indicating whether to draw contour lines. |
cuts |
The number of levels the range of |
labels |
Typically a logical indicating whether contour lines should be
labelled, but other possibilities for more sophisticated control
exists. Details are documented in the help page for
|
pretty |
A logical flag, indicating whether to use pretty cut locations and labels. |
region |
A logical flag, indicating whether regions between contour lines should be filled as in a level plot. |
allow.multiple, outer, prepanel, scales, strip, groups, xlab,
xlim, ylab, ylim, drop.unused.levels, lattice.options,
default.scales, subset |
These arguments are described in the help page for
|
default.prepanel |
Fallback prepanel function. See |
... |
Further arguments may be supplied. Some are processed by
|
useRaster |
A logical flag indicating whether raster representations should be
used, both for the false color image and the color key (if present).
Effectively, setting this to Note that Not all devices support raster images. For devices that appear to
lack support, |
These and all other high level Trellis functions have several
arguments in common. These are extensively documented only in the
help page for xyplot, which should be consulted to learn more
detailed usage.
Other useful arguments are mentioned in the help page for the default
panel function panel.levelplot (these are formally
arguments to the panel function, but can be specified in the high
level calls directly).
An object of class "trellis". The
update method can be used to
update components of the object and the
print method (usually called by
default) will plot it on an appropriate plotting device.
Deepayan Sarkar Deepayan.Sarkar@R-project.org
Sarkar, Deepayan (2008) Lattice: Multivariate Data Visualization with R, Springer. http://lmdvr.r-forge.r-project.org/
xyplot, Lattice,
panel.levelplot
x <- seq(pi/4, 5 * pi, length.out = 100)
y <- seq(pi/4, 5 * pi, length.out = 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, scales=list(log="e"), xlab="",
ylab="", main="Weird Function", sub="with log scales",
colorkey = FALSE, region = TRUE)
#S-PLUS example
require(stats)
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.out = 50)
t.marginal <- seq(min(temperature), max(temperature), length.out = 50)
r.marginal <- seq(min(radiation), max(radiation), length.out = 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)")
detach()