dist_sc: Score-based distance matrix

In saskiaotto/INDperform: Evaluation of Indicator Performances for Assessing Ecosystem States

Description

The function computes a distance matrix based on the scoring output tibble (or the output tibble from the expect_resp function).

Usage

dist_sc(scores_mat, scores_tbl, method_dist = "euclidean", ...)

Arguments

scores_mat	A data frame or matrix containing the scores. This could be the $scores_matrix output of the summary_sc function.
scores_tbl	Deprecated argument from earlier version (0.1.0); scores_tbl represented the output tibble from the scoring function.
method_dist	Dissimilarity index used in the vegdist function to calculate the dissimilarity matrix based on the scores. Default is 'euclidean', for alternatives see vegdist.
...	Further arguments to be passed to the method vegdist.

Value

The function returns a dist object.

See Also

vegdist for the computation of the dissimilarity index

Other score-based IND performance functions: clust_sc(), dist_sc_group(), expect_resp(), plot_clust_sc(), plot_spiechart(), scoring(), summary_sc()

Examples

# Using the Baltic Sea demo data
scores_tbl <- scoring(trend_tbl = model_trend_ex,
  mod_tbl = all_results_ex, press_type = press_type_ex)
scores_mat <- summary_sc(scores_tbl)$scores_matrix
dist_matrix <- dist_sc(scores_mat, method_dist = "euclidean")

saskiaotto/INDperform documentation built on Oct. 27, 2021, 10:33 p.m.