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Evaluate function over a grid

Source: R/Contours.R
TernaryPointValues.Rd

Intended to facilitate coloured contour plots with ColourTernary(), TernaryPointValue() evaluates a function at points on a triangular grid; TernaryDensity() calculates the density of points in each grid cell.

Usage

TernaryPointValues(
  Func,
  resolution = 48L,
  direction = getOption("ternDirection", 1L),
  ...
)

TernaryDensity(
  coordinates,
  resolution = 48L,
  direction = getOption("ternDirection", 1L)
)

Arguments

Func

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.

resolution

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.

direction

(optional) Integer specifying the direction that the current ternary plot should point: 1, up; 2, right; 3, down; 4, left.

...

Additional parameters to Func().

coordinates

A list, matrix, data.frame or vector in which each element (or row) specifies the three coordinates of a point in ternary space. Each element (or row) will be rescaled such that its entries sum to 100.

Value

TernaryPointValues() returns a matrix whose rows correspond to:

  • x, y: co-ordinates of the centres of smaller triangles

  • z: The value of Func(a, b, c, ...), where a, b and c are the ternary coordinates of x and y.

  • down: 0 if the triangle concerned points upwards (or right), 1 otherwise

See also

Other contour plotting functions: ColourTernary(), TernaryContour(), TernaryDensityContour()

Author

Martin R. Smith (martin.smith@durham.ac.uk)

Examples

TernaryPointValues(function (a, b, c) a * b * c, resolution = 2)
#>             [,1]       [,2]       [,3]       [,4]
#> x    -0.25000000 0.00000000 0.25000000 0.00000000
#> y     0.14433757 0.28867513 0.14433757 0.57735027
#> z     0.01851852 0.03703704 0.01851852 0.01851852
#> down  0.00000000 1.00000000 0.00000000 0.00000000

TernaryPlot(grid.lines = 4)
cols <- TernaryPointValues(rgb, resolution = 4)
text(as.numeric(cols["x", ]), as.numeric(cols["y", ]),
     labels =  ifelse(cols["down", ] == "1", "v", "^"),
     col = cols["z", ])


TernaryPlot(axis.labels = seq(0, 10, by = 1))

nPoints <- 4000L
coordinates <- cbind(abs(rnorm(nPoints, 2, 3)),
                     abs(rnorm(nPoints, 1, 1.5)),
                     abs(rnorm(nPoints, 1, 0.5)))

density <- TernaryDensity(coordinates, resolution = 10L)
ColourTernary(density, legend = TRUE, bty = "n", title = "Density")
TernaryPoints(coordinates, col = "red", pch = ".")