Given a vector (or a matrix) representing a curve (or set of
curves, columnwise),
the area (or set of areas) is calculated using the trapezoidal rule.
     
    
    
    Arguments
- x
- vector of samples for the dependent variable. 
- y
- vector or matrix of samples for the independent variable.
In the case of the latter, curves are organized column-wise. 
 
    
    Value
    area (areas) under the sampled curve (curves).
     
    
    
    Examples
    
x <- seq(0, 1, by = 0.0001)
y <- exp(x)
# Compare with true area of exp( 1 ) - 1 = 1.718282...
areaEstimate <- trapz(x, y)