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Last data update: 2014.03.03

R: Plot a contour view of a model, including design points

contourview.list

R Documentation

Plot a contour view of a model, including design points

Description

Plot a contour view of a model, thus providing a better understanding of its behaviour.

Usage

  contourview.list(model, center = NULL, axis = NULL,
    npoints = 20, nlevels = 10, col_points = "red",
    col_surf = "blue", filled = FALSE, bg_blend = 1,
    mfrow = NULL, Xname = NULL, yname = NULL, Xscale = 1,
    yscale = 1, xlim = NULL, ylim = NULL, title = NULL,
    add = FALSE, ...)

Arguments

`model`	a list that can be used in the `modelPredict` function of the DiceEval package.
`center`	optional coordinates (as a list or data frame) of the center of the section view if the model's dimension is > 2.
`axis`	optional matrix of 2-axis combinations to plot, one by row. The value `NULL` leads to all possible combinations i.e. `choose(D, 2)`.
`npoints`	an optional number of points to discretize plot of response surface and uncertainties.
`col_points`	color of points.
`col_surf`	color for the surface.
`filled`	use filled.contour
`nlevels`	number of contour levels to display.
`mfrow`	an optional list to force `par(mfrow = ...)` call. The default value `NULL` is automatically set for compact view.
`bg_blend`	an optional factor of alpha (color channel) blending used to plot design points outside from this section.
`xlim`	an optional list to force x range for all plots. The default value `NULL` is automatically set to include all design points.
`ylim`	an optional list to force y range for all plots. The default value `NULL` is automatically set to include all design points.
`Xname`	an optional list of string to overload names for X.
`yname`	an optional string to overload name for y.
`Xscale`	an optional factor to scale X.
`yscale`	an optional factor to scale y.
`title`	an optional overload of main title.
`add`	to print graphics on an existing window.
`...`	optional arguments passed to the first call of `plot3d`.

Details

Experimental points are plotted with fading colors. Points that fall in the specified section (if any) have the color specified col_points while points far away from the center have shaded versions of the same color. The amount of fading is determined using the Euclidean distance between the plotted point and center. The variables chosen with their number are to be found in the data$X element of the model. Thus they are original data variables but not trend variables that may have been created using the model's formula.

Author(s)

Yann Richet, IRSN

Examples

## A 2D example - Branin-Hoo function
## a 16-points factorial design, and the corresponding response
d <- 2; n <- 16
design.fact <- expand.grid(seq(0, 1, length = 4), seq(0, 1, length = 4))
design.fact <- data.frame(design.fact); names(design.fact) <-c("x1", "x2")
y <- branin(design.fact)

## linear model
m1 <- modelFit(design.fact, y$x1, type = "Linear", formula = "Y~.")

## the same as sectionview3d.list
contourview(m1)

Results


R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

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> library(DiceView)
Loading required package: DiceKriging
Loading required package: DiceEval
Loading required package: rgl
> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/DiceView/contourview.list.Rd_%03d_medium.png", width=480, height=480)
> ### Name: contourview.list
> ### Title: Plot a contour view of a model, including design points
> ### Aliases: contourview.list
> ### Keywords: models
> 
> ### ** Examples
> 
> ## A 2D example - Branin-Hoo function
> ## a 16-points factorial design, and the corresponding response
> d <- 2; n <- 16
> design.fact <- expand.grid(seq(0, 1, length = 4), seq(0, 1, length = 4))
> design.fact <- data.frame(design.fact); names(design.fact) <-c("x1", "x2")
> y <- branin(design.fact)
> 
> ## linear model
> m1 <- modelFit(design.fact, y$x1, type = "Linear", formula = "Y~.")
> 
> ## the same as sectionview3d.list
> contourview(m1)
> 
> 
> 
> 
> 
> dev.off()
null device 
          1 
>