cxplot can not draw true 3D surfaces, but you can use geom_contour(), geom_contour_filled(), and geom_tile() to visualise 3D surfaces in 2D. To specify a valid surface, the data must contain x, y, and z coordinates, and each unique combination of x and y can appear at most once. Contouring requires that the points can be rearranged so that the z values form a matrix, with rows corresponding to unique x values, and columns corresponding to unique y values. Missing entries are allowed, but contouring will only be done on cells of the grid with all four z values present. If your data is irregular, you can interpolate to a grid before visualising using the interp::interp() function from the interp package (or one of the interpolating functions from the akima package.)
geom_contour({
"mapping" = null,
"data" = null,
"stat" = "contour",
"position" = "identity",
"...",
"bins" = null,
"binwidth" = null,
"breaks" = null,
"lineend" = "butt",
"linejoin" = "round",
"linemitre" = 10,
"na.rm" = false,
"show.legend" = NA,
"inherit.aes" = true
})
geom_contour_filled({
"mapping" = null,
"data" = null,
"stat" = "contour_filled",
"position" = "identity",
"...",
"bins" = null,
"binwidth" = null,
"breaks" = null,
"na.rm" = false,
"show.legend" = NA,
"inherit.aes" = true
})
stat_contour({
"mapping" = null,
"data" = null,
"geom" = "contour",
"position" = "identity",
"...",
"bins" = null,
"binwidth" = null,
"breaks" = null,
"na.rm" = false,
"show.legend" = NA,
"inherit.aes" = true
})
stat_contour_filled({
"mapping" = null,
"data" = null,
"geom" = "contour_filled",
"position" = "identity",
"...",
"bins" = null,
"binwidth" = null,
"breaks" = null,
"na.rm" = false,
"show.legend" = NA,
"inherit.aes" = true
})
| mapping |
Set of aesthetic mappings created by | |
|---|---|---|
| data |
The data to be displayed in this layer. There are three options: If NULL, the default, the data is inherited from the plot data as specified in the call to A data.frame, or other object, will override the plot data. All objects will be fortified to produce a data frame. See fortify() for which variables will be created. A function will be called with a single argument, the plot data. The return value must be a data.frame, and will be used as the layer data. A function can be created from a formula (e.g. ~ head(.x, 10)). | |
| stat |
The statistical transformation to use on the data for this layer, as a string. | |
| position |
Position adjustment, either as a string, or the result of a call to a position adjustment function. | |
| ... |
Other arguments passed on to | |
| bins |
Number of contour bins. Overridden by binwidth. | |
| binwidth |
The width of the contour bins. Overridden by breaks. | |
| breaks |
Numeric vector to set the contour breaks. Overrides binwidth and bins. By default, this is a vector of length ten with pretty() breaks. | |
| lineend |
Line end style (round, butt, square). | |
| linejoin |
Line join style (round, mitre, bevel). | |
| linemitre |
Line mitre limit (number greater than 1). | |
| na.rm |
If FALSE, the default, missing values are removed with a warning. If TRUE, missing values are silently removed. | |
| show.legend |
logical. Should this layer be included in the legends? NA, the default, includes if any aesthetics are mapped. FALSE never includes, and TRUE always includes. It can also be a named logical vector to finely select the aesthetics to display. | |
| inherit.aes |
If FALSE, overrides the default aesthetics, rather than combining with them. This is most useful for helper functions that define both data and aesthetics and shouldn't inherit behaviour from the default plot specification, e.g. borders(). | |
| geom |
The geometric object to use display the data |
geom_contour() understands the following aesthetics (required aesthetics are in bold):
x
y
alpha
color
group
linetype
size
weight
Learn more about setting these aesthetics in vignette("cxplot-specs").
geom_contour_filled() understands the following aesthetics (required aesthetics are in bold):
x
y
alpha
color
fill
group
linetype
size
subgroup
Learn more about setting these aesthetics in vignette("cxplot-specs").
stat_contour() understands the following aesthetics (required aesthetics are in bold):
x
y
z
group
order
Learn more about setting these aesthetics in vignette("cxplot-specs").
stat_contour_filled() understands the following aesthetics (required aesthetics are in bold):
x
y
z
fill
group
order
Learn more about setting these aesthetics in vignette("cxplot-specs").
The computed variables differ somewhat for contour lines (computed by stat_contour()) and contour bands (filled contours, computed by stat_contour_filled()). The variables nlevel and piece are available for both, whereas level_low, level_high, and level_mid are only available for bands. The variable level is a numeric or a factor depending on whether lines or bands are calculated.
level
(contour bands only) Lower and upper bin boundaries for each band, as well the mid point between the boundaries.
nlevel
Contour piece (an integer).
// Basic plot
var cxp = new cxplot("canvas1", faithfuld, aes("waiting", "eruptions", {"z": "density"}));
cxp.geom_contour();
// Or compute from raw data
var cxp = new cxplot("canvas2", faithful, aes("waiting", "eruptions"));
cxp.geom_density_2d();
// use geom_contour_filled() for filled contours
var cxp = new cxplot("canvas3", faithfuld, aes("waiting", "eruptions", {"z": "density"}));
cxp.geom_contour_filled();
// Setting bins creates evenly spaced contours in the range of the data
var cxp = new cxplot("canvas4", faithfuld, aes("waiting", "eruptions", {"z": "density"}));
cxp.geom_contour({"bins": 3});
// Setting bins creates evenly spaced contours in the range of the data
var cxp = new cxplot("canvas5", faithfuld, aes("waiting", "eruptions", {"z": "density"}));
cxp.geom_contour({"binwidth": 0.001});
// Other parameters
var cxp = new cxplot("canvas6", faithfuld, aes("waiting", "eruptions", {"z": "density"}));
cxp.geom_contour({"color": "red"});
// Irregular data
var cxp = new cxplot("canvas7", griddf, aes("x", "y", "z"));
cxp.geom_contour_filled();
cxp.geom_point({"data": origdata})