R: Sample within rotated feasible parameter space

rotatedSampling {hydromad}

R Documentation

Sample within rotated feasible parameter space

Description

Using given feasible parameter set, rotate using eigenvectors and sample within rotated hypercube

Usage

rotatedSampling(X, samples, expand = 0, ...)

Arguments

`X`	matrix or data.frame of feasible parameters
`samples`	Number of samples to take
`expand`	Ratio with which to expand bounds in rotated parameter space, as a buffer around the original hypercube
`...`	Arguments to pass to `parameterSets`

Details

Parameters may not be in feasible parameter set

Value

data.frame of parameter values drawn from rotated hypercube

Author(s)

Joseph Guillaume

References

Karel, K. (1990). Membership-set estimation using random scanning and principal component analysis. Mathematics and Computers in Simulation 32(5-6): 535-543 DOI: http://dx.doi.org/10.1016/0378-4754(90)90009-8.

Also possibly related to Iman, R.L. and W.J. Conover (1982). A distribution-free approach to inducing rank correlation among input variables. Communications in Statistics - Simulation and Computation 11(3): 311-334 DOI: http://dx.doi.org/10.1080/03610918208812265.

Examples


 X <- matrix(c(1,4,2,5,1,2,2,3),ncol=2)
 Y <- rotatedSampling(X,1e3)
 plot(X[,1],X[,2],col="red",cex=2)
 points(Y[,1],Y[,2],pch=".")

[Package hydromad version 0.9-18 Index]