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Calculates the monotonic relationship between simulated and observed values using Spearman's rank correlation. It is more robust to outliers than Pearson.

Usage

r_spearman(obs, sim, na.rm = TRUE)

Arguments

obs

Numeric vector of observed values.

sim

Numeric vector of simulated (modelled) values.

na.rm

Logical; should missing values (NA) in either vector be removed pairwise before computation? Default is TRUE.

Value

numeric; Spearman correlation coefficient ranging from -1 to 1.