Nothing
# generate ludata
# observed data locations
n1 = 60
n2 = 80
x = seq_len(n1)/n1 - 1/2/n1
z = seq_len(n2)/n2 - 1/2/n2
# construct "true" data
lutruef1 = matrix(0, nrow = 60, ncol = 80)
for (i in seq_len(60)) {
for (j in seq_len(80)) {
lutruef1[i, j] = sin(2 * pi * (x[i] - .5) ^ 3) *
cos(4 * pi * z[j])
}
}
# add noise to "true" data
set.seed(3)
lunoisyf1 = lutruef1 + stats::rnorm(60 * 80)
rm(n1)
rm(n2)
rm(i)
rm(j)
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