mtk (version 1.0)

plot,mtkProcess-method: The plot method

Description

Plots graphically the results produced by the process.

Usage

plot(x, y, ...)

Arguments

x

the underlying object of class mtkProcess

y

see par for details about the graphical parameter arguments

...

see par for details about the graphical parameter arguments

Value

Details

1. The behavior of the plot depends on the sub-class where the method is implemented.
2. See the documentation of the particular sub-class for details of what is produced. Use methods("plot") to get all the methods for the plot generic.
3. See par for details about the graphical parameter arguments.

See Also

help(plot

Examples

# Create a designer and an analyser avec the method "Morris"
# to analyze the model "Ishigami":

# Specify the factors to analyze:
	x1 <- make.mtkFactor(name="x1", distribName="unif",
	 distribPara=list(min=-pi, max=pi)) 
	x2 <- make.mtkFactor(name="x2", distribName="unif",
     distribPara=list(min=-pi, max=pi)) 
	x3 <- make.mtkFactor(name="x3", distribName="unif", 
     distribPara=list(min=-pi, max=pi)) 
	factors <- mtkExpFactors(list(x1,x2,x3)) 

# Build the processes:
#   1) the experimental design process with the method "Morris".
		exp1.designer <- mtkNativeDesigner(design="Morris", 
	      information=list(r=20,type="oat",levels=4,grid.jump=2)) 

#   2) the model simulation process with the model "Ishigami".
		exp1.evaluator <- mtkNativeEvaluator(model="Ishigami") 

#   #   3) the analysis process with the default method.
#      Here, it is the Morris method.
		exp1.analyser <- mtkDefaultAnalyser()

# Build the  workflow with the processes defined previously.
		exp1 <- mtkExpWorkflow(expFactors=factors,
	   	 processesVector = c(design=exp1.designer,
			evaluate=exp1.evaluator, analyze=exp1.analyser))
# Run the workflow and plot the results.
		run(exp1)
		plot(exp1)
		
# Extract a process and report its results

		p <- getProcess(exp1, "analyze")
		plot(p)