Description Usage Arguments Examples
The generated data Y ~ N(μ, σ) is the image intensity, where the params (μ, σ) are determined by whether the location X, given by polar coords (r,θ), is inside the boundary or not.
1  parnormobs(m, mu.in, mu.out, sd.in, sd.out, design, center, gamma.fun)

m 
m * m observations will be generated over the unit square centered at (0,0). 
mu.in 
The mean intensity for pixels inside the image boundary. 
mu.out 
The mean intensity for pixels outside the image boundary. 
sd.in 
The standard deviation of intensity for pixels inside the image boundary. 
sd.out 
The standard deviation of intensity for pixels outside the image boundary. 
design 
Taking values: 'D' for deterministic (equallyspaced grid) design, 'U' for completely uniformly random, or 'J' for jitteredly random design. 
center 
a twodimensional vector of Euclidean coordinates (x,y) of the reference point. 
gamma.fun 
The function to generate boundaries, see ellipse or triangle2. 
1 2 3 4 5 6  set.seed(2015)
# use ellipse boundary
gamma.fun = ellipse(a = 0.35, b = 0.25)
obs = parnormobs(m = 100, mu.in = 1, sd.in = 1, mu.out = 0, sd.out = 1, design = 'J',
center = c(0.5,0.5), gamma.fun)
plotBD(obs)

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