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Main Function to Optimize Parallelogram

Source: R/optimize_parallelogram.R
optimize_parallelogram.Rd

Optimize Parallelogram to Fit Input Data

Usage

optimize_parallelogram(x, y)

Arguments

x

A numeric vector representing x-coordinates (e.g., time in decimal hours).

y

A numeric vector representing y-coordinates (e.g., melatonin concentration).

Value

A list containing optimized parameters for the parallelogram, including corner points.

Details

This function fits the smallest possible parallelogram that fully encloses all input points. It minimizes the area while ensuring that all points remain within the defined region. The stochastic optimizer is run with a local fixed seed and restores the user's random-number generator state afterward, so the diagnostic fit is reproducible without changing the surrounding R session's RNG state. Non-positive slopes are penalized by the objective function because this diagnostic is intended for ascending segments.

Examples

optimize_parallelogram(c(18.56, 20.05), c(1.84, 9.203))
#> [1] 18.556336 18.564758  4.930782