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contourPlot3: Ternary plot

Source: R/4.3_Mix_designs_Functions.R
contourPlot3.Rd

This function creates a ternary plot (contour plot) for mixture designs (i.e. object of class mixDesign).

Usage

contourPlot3(
  x,
  y,
  z,
  response,
  data = NULL,
  main,
  xlab,
  ylab,
  zlab,
  form = "linear",
  col = 1,
  col.text,
  axes = TRUE,
  steps,
  plot = TRUE,
  show.scale = TRUE
)

Arguments

x

Factor 1 of the mixDesign object.

y

Factor 2 of the mixDesign object.

z

Factor 3 of the mixDesign object.

response

the response of the mixDesign object.

data

The mixDesign object from which x,y,z and the response are taken.

main

Character string specifying the main title of the plot.

xlab

Character string specifying the label for the x-axis.

ylab

Character string specifying the label for the y-axis.

zlab

Character string specifying the label for the z-axis.

form

A character string or a formula with the syntax `y ~ A + B + C`. If form is a character string, it has to be one of the following:

  • `linear`

  • `quadratic`

How the form influences the output is described in the reference listed below. By default, form is set to `linear`.

col

A predefined value (1, 2, 3, or 4) or a self-defined colorRampPalette specifying the colors to be used in the plot.

col.text

A character string specifying the color of the axis labels. The default value col.text is '1'.

axes

A logical value specifying whether the axes should be plotted. By default, axes is set to TRUE.

steps

A numeric value specifying the resolution of the plot, i.e., the number of rows for the square matrix, which also represents the number of grid points per factor. By default, steps is set to 25.

plot

Logical value indicating whether to display the plot. Default is TRUE.

show.scale

Logical value indicating whether to display the color scale on the plot. Default is TRUE.

Value

The function contourPlot3 returns an invisible list containing:

  • mat - A matrix containing the response values as NA's and numerics.

  • plot - The generated plot.

See also

mixDesign.c, mixDesign, wirePlot3.

Examples

mdo = mixDesign(3,2, center = FALSE, axial = FALSE, randomize = FALSE,
                replicates  = c(1,1,2,3))
mdo$names(c("polyethylene", "polystyrene", "polypropylene"))
mdo$units("percent")
elongation = c(11.0, 12.4, 15.0, 14.8, 16.1, 17.7, 16.4, 16.6, 8.8, 10.0, 10.0,
               9.7, 11.8, 16.8, 16.0)
mdo$.response(elongation)
contourPlot3(A, B, C, elongation, data = mdo, form = "linear")
contourPlot3(A, B, C, elongation, data = mdo, form = "quadratic", col = 2)
contourPlot3(A, B, C, elongation, data = mdo,
             form = "elongation ~ I(A^2) - B:A + I(C^2)",
             col = 3, axes = FALSE)
contourPlot3(A, B, C, elongation, data = mdo,
             form = "quadratic",
             col = c("yellow", "white", "red"),
             axes = FALSE)