MixturePlot: This function makes contour plots in the simplex mixture...

In mixexp: Design and Analysis of Mixture Experiments

This function makes contour plots in the simplex mixture space.

Description

This function makes contour plots in the simplex mixture space, it also can draw constraint lines and show design points.

Usage

MixturePlot(x=NULL,y=NULL,z=NULL,w=NULL,des=NULL,
                       res=400,lims=c(rep(0,6)),color.palette = heat.colors,
                       constrts=FALSE,contrs=TRUE,n.breaks=10,levels=NULL,
                       cols=FALSE, despts=TRUE, mod=NA,x3lab="Fraction X3",
                       x2lab="Fraction X2", x1lab="Fraction X1", 
                       corner.labs = NULL,
                       colorkey=list(dx=0.04,x0=0.95,y0=0.45,y1=0.90,add=TRUE,mode="all"),
                       pseudo=FALSE)

Arguments

x	x3 locations for known points
y	x2 locations for known points
z	x1 locations for known points
w	y locations for known points
des	data frame with x1,x2,x3, and y locations for known points
res	number of color blocks between 0 and 1 of x
lims	vector of lower and upper constraints for x1,x2,x3
color.palette	is the color palette to use
constrts	if TRUE constraints found in lines will be added to the graph
contrs	if TRUE contour lines will be added to the graph
n.breaks	number of breaks between levels, this is used if levels is not specified
levels	vector of contour levels to be plotted
cols	if TRUE regions between contour lines will be colored
despts	if TRUE plots the design points in data frame des
mod	is an indicator for the model 1=linear, 2=quadratic, 4=special cubic. for other Models use the ModelEff function.
x3lab	label for the x3 axis
x2lab	label for the x2 axis
x1lab	label for the x1 axis
corner.labs	labels for x3, x2 and x1 vertices
colorkey	a list with the location of the color key
pseudo	if pseudo=TRUE uses pseudo components to zoom in on constrained region. By default pseudo=FALSE

Author(s)

John S. Lawson [e-mail]

References

1. Cornell, J. A. Experiments with Mixtures: Models and Analysis of Mixture Data, John Wiley & Sons, New York, third edition, 2002.

2. See R Ternary Level Plot Function http://www.siftp.net/index.shtml

3. "John Lawson, Cameron Willden (2016).", "Mixture Experiments in R Using mixexp.", "Journal of Statistical Software, Code Snippets, 72(2), 1-20." "doi:10.18637/jss.v072.c02"

Examples

##Usage and Examples - Example from page 458 DAE with SAS
dat = data.frame(
          "x1"=c(1,.8,.6,.5,.5,.33333,.3,.3,.1,.1,0,0,0),
          "x2"=c(0,.1,.2,0,.5,.33333,.2,.5,.1,.8,0,.5,1),
          "x3"=c(0,.1,.2,.5,0,.33333,.5,.2,.8,.1,1.0,.5,0),
          "y"=c(48.7,49.5,50.2,52.8,49.3,51.1,52.7,50.3,60.7,49.9,64.9,53.5,50.6) 
                 )
MixturePlot(dat$x3,dat$x2,dat$x1,dat$y, x3lab="Fraction x3",
  x2lab="Fraction x2", x1lab="Fraction x1", corner.labs=c("x3","x2","x1"),
  constrts=FALSE,contrs=TRUE,cols=TRUE, mod=2,n.breaks=9)

# Weed control example from Lawson & Erjavec
x1<-c(1,0,0,.5,.5,0,.33333,.33333,.33333)
x2<-c(0,1,0,.5,0,.5,.33333,.33333,.33333)
x3<-c(0,0,1,0,.5,.5,.33333,.33333,.33333)
y<-c(73,68,80,77,86,75,92,93,88)
des<-data.frame(x1,x2,x3,y)
MixturePlot(des=des,x3lab="Fraction C",x2lab="Fraction B",
   x1lab="Fraction A",corner.labs=c("C","B","A"),mod=4,n.breaks=5,cols=TRUE)
   

mixexp documentation built on May 28, 2022, 3:01 a.m.