matie (version 1.0)

shpd: Generates Sample HyperPlane Data.

Description

This function generates a sample hyperplane data set.

Usage

shpd(n,m=2,Rsq=0.7,Ri=0)

Value

Returns a n x m data set

Details

Scatters data around the hyperplane: Vm = sum(V1...Vm-1) + noise where noise is adjusted so that the final dataset has coefficient of determination equal to Rsq. Variables V1..Vm-1 are assumed to be independent but the user can make them dependent on each other by setting the Vi parameter away from zero.

References

coming soon

See Also

ma

Examples

d <- shpd(500,3,Rsq=0.8,Ri=0.01)
    ma(d)$A
    ma(d,partition=list(1,2))$A
    ma(d,partition=list(3,1))$A
    ma(d,partition=list(3,2))$A
    ma(d,partition=list(3,c(1,2)))$A
    cor(d)^2
    # if m=3 and if you have rgl 
    # you can view the data set in 3D 
    # library("rgl")  
    # plot3d(d)