Generic functions to draw 3d scatter plots and surfaces. The
"formula" methods do most of the actual work.
cloud(x, data, ...) wireframe(x, data, ...) ## S3 method for class 'formula': cloud((x, data, allow.multiple = is.null(groups) || outer, outer = FALSE, auto.key = FALSE, aspect = c(1,1), panel.aspect = 1, panel = lattice.getOption("panel.cloud"), prepanel = NULL, scales = list(), strip = TRUE, groups = NULL, xlab, ylab, zlab, xlim = if (is.factor(x)) levels(x) else range(x, finite = TRUE), ylim = if (is.factor(y)) levels(y) else range(y, finite = TRUE), zlim = if (is.factor(z)) levels(z) else range(z, finite = TRUE), at, drape = FALSE, pretty = FALSE, drop.unused.levels, ..., lattice.options = NULL, default.scales = list(distance = c(1, 1, 1), arrows = TRUE, axs = axs.default), default.prepanel = lattice.getOption("prepanel.default.cloud"), colorkey, col.regions, alpha.regions, cuts = 70, subset = TRUE, axs.default = "r")) ## S3 method for class 'formula': wireframe((x, data, panel = lattice.getOption("panel.wireframe"), default.prepanel = lattice.getOption("prepanel.default.wireframe"), ...)) ## S3 method for class 'matrix': cloud((x, data = NULL, type = "h", zlab = deparse(substitute(x)), aspect, ..., xlim, ylim, row.values, column.values)) ## S3 method for class 'table': cloud((x, data = NULL, groups = FALSE, zlab = deparse(substitute(x)), type = "h", ...)) ## S3 method for class 'matrix': wireframe((x, data = NULL, zlab = deparse(substitute(x)), aspect, ..., xlim, ylim, row.values, column.values))
- The object on which method dispatch is carried out.
"formula"methods, a formula of the form
z ~ x * y | g1 * g2 * ..., where
zis a numeric response, and
yare numeric values.
g1, g2, ..., if present, are conditioning variables used for conditioning, and must be either factors or shingles. In the case of
wireframe, calculations are based on the assumption that the
yvalues are evaluated on a rectangular grid defined by their unique values. The grid points need not be equally spaced.
zmay also be matrices (of the same dimension), in which case they are taken to represent a 3-D surface parametrized on a 2-D grid (e.g., a sphere). Conditioning is not possible with this feature. See details below.
Missing values are allowed, either as
NAvalues in the
zvector, or missing rows in the data frame (note however that in that case the X and Y grids will be determined only by the available values). For a grouped display (producing multiple surfaces), missing rows are not allowed, but
cloudhave methods for
matrixobjects, in which case
zvector described above, while its rows and columns are interpreted as the
yvectors respectively. This is similar to the form used in
- for the
"formula"methods, an optional data frame in which variables in the formula (as well as
subset, if any) are to be evaluated.
datashould not be specified except when using the
- row.values, column.values
- Optional vectors of values that define the grid when
xis a matrix.
column.valuesmust have the same lengths as
ncol(x)respectively. By default, row and column numbers.
- allow.multiple, outer, auto.key, prepanel, strip, groups, xlab,
xlim, ylab, ylim, drop.unused.levels, lattice.options,
- These arguments are documented in the help page for
xyplot. For the
groupsmust be a logical indicating whether the last dimension should be used as a grouping variable as opposed to a conditioning variable. This is only relevant if the table has more than 2 dimensions.
- type of display in
panel.3dscatterfor details). Defaults to
- aspect, panel.aspect
- Unlike other high level functions,
aspectis taken to be a numeric vector of length 2, giving the relative aspects of the y-size/x-size and z-size/x-size of the enclosing cube. The usual role of the
aspectargument in determining the aspect ratio of the panel (see
xyplotfor details) is played by
panel.aspect, except that it can only be a numeric value.
- panel function used to create the display. See
panel.cloudfor (non-trivial) details.
- Fallback prepanel function. See
- a list describing the scales. As with other high level functions (see
xyplotfor details), this list can contain parameters in name=value form. It can also contain components with the special names
z, which can be similar lists with axis-specific values overriding the ones specified in
The most common use for this argument is to set
arrows=FALSE, which causes tick marks and labels to be used instead of arrows being drawn (the default). Both can be suppressed by
draw=FALSE. Another special component is
distance, which specifies the relative distance of the axis label from the bounding box. If specified as a component of
scales(as opposed to one of
scales$zetc), this can be (and is recycled if not) a vector of length 3, specifying distances for the x, y and z labels respectively.
Other components that work in the
xyplotetc. should also work here (as long as they make sense), including explicit specification of tick mark locations and labels. (Not everything is implemented yet, but if you find something that should work but does not, feel free to bug the maintainer.)
Note, however, that for these functions
scalescannot contain information that is specific to particular panels. If you really need that, consider using the
- Unlike 2-D display functions,
clouddoes not expand the bounding box to slightly beyound the range of the data, even though it should. This is primarily because this is the natural behaviour in
wireframe, which uses the same code.
axs.defaultis intended to provide a different default for
cloud. However, this feature has not yet been implemented.
- Specifies a label describing the z variable in ways similar to
ylab(i.e. “grob”, character string, expression or list) in other high level functions. Additionally, if
ylab) is a list, it can contain a component called
rot, controlling the rotation for the label
- limits for the z-axis. Similar to
ylimin other high level functions
- logical, whether the wireframe is to be draped in color. If
TRUE, the height of a facet is used to determine its color in a manner similar to the coloring scheme used in
levelplot. Otherwise, the background color is used to color the facets. This argument is ignored if
shade = TRUE(see
- at, col.regions, alpha.regions
- these arguments are analogous to those in
atgives the vector of cutpoints where the colors change, and
col.regionsthe vector of colors to be used in that case.
alpha.regionsdetermines the alpha-transparency on supporting devices. These are passed down to the panel function, and also used in the colorkey if appropriate. The default for
alpha.regionsis derived from the Trellis setting
atis unspecified, the approximate number of cutpoints if
- whether automatic choice of cutpoints should be prettfied
- logical indicating whether a color key should be drawn alongside, or a list describing such a key. See
- Any number of other arguments can be specified, and are passed to the panel function. In particular, the arguments
R.matare very important in determining the 3-D display. The argument
shadecan be useful for
wireframecalls, and controls shading of the rendered surface. These arguments are described in detail in the help page for
Additionally, an argument called
zoommay be specified, which should be a numeric scalar to be interpreted as a scale factor by which the projection is magnified. This can be useful to get the variable names into the plot. This argument is actually only used by the default prepanel function.
These functions produce three dimensional plots in each panel (as long as the default panel functions are used). The orientation is obtained as follows: the data are scaled to fall within a bounding box that is contained in the [-0.5, 0.5] cube (even smaller for non-default values of
aspect). The viewing direction is given by a sequence of rotations specified by the
screen argument, starting from the positive Z-axis. The viewing point (camera) is located at a distance of
1/distance from the origin. If
distance is set to 0 (i.e., the viewing point is at an infinite distance).
cloud draws a 3-D Scatter Plot, while
wireframe draws a 3-D surface (usually evaluated on a grid). Multiple surfaces can be drawn by
wireframe using the
groups argument (although this is of limited use because the display is incorrect when the surfaces intersect). Specifying
cloud results in a
panel.superpose-like effect (via
wireframe can optionally render the surface as being illuminated by a light source (no shadows though). Details can be found in the help page for
panel.3dwire. Note that although arguments controlling these are actually arguments for the panel function, they can be supplied to
For single panel plots,
wireframe can also plot parametrized 3-D surfaces (i.e., functions of the form f(u,v) = (x(u,v), y(u,v), z(u,v)), where values of (u,v) lie on a rectangle. The simplest example of this sort of surface is a sphere parametrized by latitude and longitude. This can be achieved by calling
wireframe with a formula
x of the form
z are all matrices of the same dimension, representing the values of x(u,v), y(u,v) and z(u,v) evaluated on a discrete rectangular grid (the actual values of (u,v) are irrelevant).
When this feature is used, the heights used to calculate
drape colors or shading colors are no longer the
z values, but the distances of
(x,y,z) from the origin.
Note that this feature does not work with
subset, etc. Conditioning variables are also not supported in this case.
The algorithm for identifying which edges of the bounding box are ‘behind’ the points doesn't work in some extreme situations. Also,
panel.cloud tries to figure out the optimal location of the arrows and axis labels automatically, but can fail on occasion (especially when the view is from ‘below’ the data). This can be manually controlled by the
scpos argument in
These and all other high level Trellis functions have several other arguments in common. These are extensively documented only in the help page for
xyplot, which should be consulted to learn more detailed usage.
Sarkar, Deepayan (2008) Lattice: Multivariate Data Visualization with R, Springer. http://lmdvr.r-forge.r-project.org/
There is a known problem with grouped
wireframe displays when the (x, y) coordinates represented in the data do not represent the full evaluation grid. The problem occurs whether the grouping is specified through the
groups argument or through the formula interface, and currently causes memory access violations. Depending on the circumstances, this is manifested either as a meaningless plot or a crash. To work around the problem, it should be enough to have a row in the data frame for each grid point, with an
NA response (
z) in rows that were previously missing.
For interaction, see
## volcano ## 87 x 61 matrix wireframe(volcano, shade = TRUE, aspect = c(61/87, 0.4), light.source = c(10,0,10)) g <- expand.grid(x = 1:10, y = 5:15, gr = 1:2) g$z <- log((g$x^g$gr + g$y^2) * g$gr) wireframe(z ~ x * y, data = g, groups = gr, scales = list(arrows = FALSE), drape = TRUE, colorkey = TRUE, screen = list(z = 30, x = -60)) cloud(Sepal.Length ~ Petal.Length * Petal.Width | Species, data = iris, screen = list(x = -90, y = 70), distance = .4, zoom = .6) ## cloud.table cloud(prop.table(Titanic, margin = 1:3), type = c("p", "h"), strip = strip.custom(strip.names = TRUE), scales = list(arrows = FALSE, distance = 2), panel.aspect = 0.7, zlab = "Proportion")[, 1] ## transparent axes par.set <- list(axis.line = list(col = "transparent"), clip = list(panel = "off")) print(cloud(Sepal.Length ~ Petal.Length * Petal.Width, data = iris, cex = .8, groups = Species, main = "Stereo", screen = list(z = 20, x = -70, y = 3), par.settings = par.set, scales = list(col = "black")), split = c(1,1,2,1), more = TRUE) print(cloud(Sepal.Length ~ Petal.Length * Petal.Width, data = iris, cex = .8, groups = Species, main = "Stereo", screen = list(z = 20, x = -70, y = 0), par.settings = par.set, scales = list(col = "black")), split = c(2,1,2,1))
Documentation reproduced from package lattice, version 0.20-24. License: GPL (>= 2)