Draws contour lines to depict the value of a function in ternary space.
TernaryContour(
Func,
resolution = 96L,
direction = getOption("ternDirection", 1L),
region = getOption("ternRegion", ternRegionDefault),
within = NULL,
filled = FALSE,
legend,
legend... = list(),
nlevels = 10,
levels = pretty(zlim, nlevels),
zlim,
color.palette = function(n) hcl.colors(n, palette = "viridis", alpha = 0.6),
fill.col = color.palette(length(levels) - 1),
func... = list(),
...
)
Function that takes three arguments named a
, b
and c
, and
returns a numeric vector of length n.
a
, b
and c
will each be a vector of length n. Together, they
specify the series of coordinates at which the function should be evaluated.
The number of triangles whose base should lie on the longest axis of the triangle. Higher numbers will result in smaller subdivisions and smoother colour gradients, but at a computational cost.
(optional) Integer specifying the direction that the current ternary plot should point: 1, up; 2, right; 3, down; 4, left.
(optional) Named list of length two specifying the the
min
imum and max
imum values of each ternary axis to be drawn
(e.g. list(min = c(40, 0, 0), max = c(100, 60, 60)
);
or a set of coordinates in a format accepted by TernaryPoints()
.
The plotted region will correspond to the smallest equilateral triangle
that encompasses the specified ranges or coordinates.
List or matrix of x, y coordinates within which contours
should be evaluated, in any format supported by
xy.coords(x = within)
.
If NULL
, defaults to a region slightly smaller than the ternary plot.
The $hull
entry generated by TriangleInHull()
may also be used.
Logical; if TRUE
, contours will be filled
(using .filled.contour()
.).
Character vector specifying annotations for colour scale.
If not provided, no colour legend is displayed.
Specify TRUE
to generate automatically, or a single integer to generate
legend
annotations.
List of additional parameters to send to
SpectrumLegend()
.
parameters to pass to
contour()
.
parameters to pass to
.filled.contour()
.
Sent as col
parameter to
.filled.contour()
.
Computed from color.palette
if not specified.
List of additional parameters to send to Func()
.
TernaryContour()
is called for its side effect – adding contours
to a Ternary plot according to the value of Func(a, b, c)
at each
coordinate.
It invisibly returns a list containing:
x
,y
: the Cartesian coordinates of each evaluated point;
z
: The value of Func()
at each coordinate.
Other contour plotting functions:
ColourTernary()
,
TernaryDensityContour()
,
TernaryPointValues()
FunctionToContour <- function (a, b, c) {
a - c + (4 * a * b) + (27 * a * b * c)
}
# Set up plot
originalPar <- par(mar = rep(0, 4))
TernaryPlot(alab = "a", blab = "b", clab = "c")
values <- TernaryPointValues(FunctionToContour, resolution = 24L)
ColourTernary(
values,
legend = signif(seq(max(values), min(values), length.out = 4), 2),
bty = "n"
)
TernaryContour(FunctionToContour, resolution = 36L)
# Note that FunctionToContour() is sent vectors of all values of a, b and
# c at which it will be evaluated.
# Instead of
BadMax <- function (a, b, c) {
max(a, b, c) # Not vectorized
# Will return the single maximum of ALL a, b and c coordinates
}
# Use
GoodMax <- function (a, b, c) {
pmax(a, b, c) # Vectorized
# Will return the maximum of each trio of a, b and c coordinates
}
TernaryPlot(alab = "a", blab = "b", clab = "c")
ColourTernary(TernaryPointValues(GoodMax))
TernaryContour(GoodMax)
# When a vectorized version of a function is not available, you will need to
# apply the function to each combination of a, b and c in turn:
GeneralMax <- function (a, b, c) {
abc.matrix <- rbind(a, b, c) # Matrix where each column gives an a,b,c trio
apply(abc.matrix, 2, max) # Apply non-vectorized function to each trio
# Returns a vector with the maximum value of a,b,c at each coordinate.
}
TernaryPlot(alab = "a", blab = "b", clab = "c")
# Fill the contour areas, rather than using tiles
TernaryContour(GeneralMax, filled = TRUE,
legend = c("Max", "...", "Min"),
legend... = list(bty = "n", xpd = NA), # Tweak legend display
fill.col = hcl.colors(14, palette = "viridis", alpha = 0.6))
# Re-draw edges of plot triangle over fill
TernaryPolygon(diag(3))
# Restore plotting parameters
par(originalPar)