Best sedimentation rate per eCOCO window — ecoco_best_per

Row of maximum finite score in every window (bestPerWindowSummary in Acycle ecoco.m).

Usage

ecoco_best_per_window(sr, depth, rho, p, norbit, score)

sr: Sedimentation-rate grid of the score map, in cm/kyr (numeric vector, one value per row of the matrices). Required, no default.
depth: Depths of the window centres, in metres (numeric vector, one value per column of the matrices). Required, no default.
rho: Correlation coefficients (numeric matrix, rates in rows, windows in columns), e.g. element rho of the output of ecoco_adaptive; the value at the best rate is returned. Required, no default.
p: Global Monte Carlo p-values (numeric matrix of the same size as rho), e.g. element p_global; the value at the best rate is returned. Required, no default.
norbit: Number of contributing orbital periods (numeric matrix of the same size as rho). Required, no default.
score: Score used to choose the best rate in each window, the rate with the highest finite score (numeric matrix of the same size as rho), e.g. element score (pCOCO times the fraction of contributing periods). Windows without a finite score give NA. Required, no default.

data.frame with depth, sr, rho, p_global, norbit, score, sr_low, sr_high