1d:T5d6,# Select a random neighbour when the previous random neighbour is beyond the minimum or maximum value. Part of the simulated annealing algorithm. ```r Random_neighbour(f_new, Temp, chlv, N, place, S, S_weights, minF, maxF) ``` ## Arguments - `f_new`: Current F matrix of pigment ratios - `Temp`: Current temperature in the annealing process - `chlv`: Chlorophyll-a column to append to the matrix - `N`: Indices of pigment ratios to be modified - `place`: Vector of indices where values are non-zero in the F matrix - `S`: Matrix of samples (rows) and pigments (columns) - `S_weights`: Vector of weights for each pigment in NNLS - `minF`: Minimum bounds for each pigment ratio - `maxF`: Maximum bounds for each pigment ratio ## Returns A list containing: - **F matrix**: The new F matrix with randomly modified values - **RMSE**: Root mean square error of the new solution - **C matrix**: The concentration matrix from NNLS ## Examples ```r # Setup based on simulated_annealing usage Fmat <- as.matrix(phytoclass::Fm) S <- as.matrix(phytoclass::Sm) S_weights <- as.numeric(phytoclass:::Bounded_weights(S)) place <- which(Fmat[, seq(ncol(Fmat) - 2)] > 0) min_max <- phytoclass::min_max minF <- min_max[[3]][seq_along(place)] maxF <- min_max[[4]][seq_along(place)] chlv <- rep(1, nrow(Fmat)) # typical usage in simulated_annealing Temp <- 0.5 N <- place # Run Random_neighbour result <- phytoclass:::Random_neighbour(Fmat, Temp, chlv, N, place, S, S_weights, minF, maxF) ```1e:T49a,M7.49933 0.25C3.49635 0.25 0.25 3.49593 0.25 7.50024C0.25 10.703 2.32715 13.4206 5.2081 14.3797C5.57084 14.446 5.70302 14.2222 5.70302 14.0299C5.70302 13.8576 5.69679 13.4019 5.69323 12.797C3.67661 13.235 3.25112 11.825 3.25112 11.825C2.92132 10.9874 2.44599 10.7644 2.44599 10.7644C1.78773 10.3149 2.49584 10.3238 2.49584 10.3238C3.22353 10.375 3.60629 11.0711 3.60629 11.0711C4.25298 12.1788 5.30335 11.8588 5.71638 11.6732C5.78225 11.205 5.96962 10.8854 6.17658 10.7043C4.56675 10.5209 2.87415 9.89918 2.87415 7.12104C2.87415 6.32925 3

Random_neighbour function