plot of LSVM
Description
Make a plot of the data and the LSVM classifier
Usage
1 2 3 4 5 6 
Arguments
X 
a matrix containing the data sets 
Y 
a vector containing 1 or +1 that reprensents the class of each elements of X. 
A.model.lsvm 
a matrix containing the parameters of all hyperplanes. 
hyperplanes 
A boolean. If TRUE, plot the hyperplanes obtained. 
limit.state.estimate 
A boolean. If TRUE, plot the estimate of the limit state. 
convexity 
Either 1 if the set of data associated to the label "1" is convex or +1 otherwise. 
Details
plotLSVM makes a plot of the data as well as the estimate limit state and the hyperplanes involved in this construction.
Note
This function is useful only in dimension 2.
Author(s)
Vincent Moutoussamy
References

R.T. Rockafellar:
Convex analysis
Princeton university press, 2015.

N. Bousquet, T. Klein and V. Moutoussamy :
Approximation of limit state surfaces in monotonic Monte Carlo settings
Submitted .
See Also
LSVM
modelLSVM
Examples
1 2 3 4 5 6 7 8 9 10 11 12 13 14  # A limit state function
f < function(x){ sqrt(sum(x^2))  sqrt(2)/2 }
# Creation of the data sets
n < 200
X < matrix(runif(2*n), nrow = n)
Y < apply(X, MARGIN = 1, function(w){sign(f(w))})
## Not run:
model.A < modelLSVM(X,Y, convexity = 1)
plotLSVM(X, Y, model.A, hyperplanes = FALSE, limit.state.estimate = TRUE, convexity = 1)
## End(Not run)
