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CalculateFitDensities <-
function(shift, data) {
#
# Calculate fit for L-Mode curves.
#
# Args:
# shift: Horizontal shift (scalar).
# data: Curves for empirical and comparison data (list).
#
# Returns:
# Fit value (scalar).
#
n <- length(data$curve.x)
w <- (max(data$curve.y) - min(data$curve.y)) / (max(data$curve.x) -
min(data$curve.x))
data$curve.x <- data$curve.x * w
data$curve.comp.x <- data$curve.comp.x * w
distance <- rep(0, n)
for (i in 1:n)
distance[i] <- min(sqrt((shift + data$curve.x[i] - data$curve.comp.x) ^ 2 +
(data$curve.y[i] - data$curve.comp.y) ^ 2))
fit <- sqrt(sum(distance ^ 2) / n)
return(fit)
}
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