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Counts of the number of best fit models for different predictor variables and functional diversity metrics calculated using Gower and Euclidean distances.

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NIAID Data Ecosystem2026-05-02 收录
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https://figshare.com/articles/dataset/Counts_of_the_number_of_best_fit_models_for_different_predictor_variables_and_functional_diversity_metrics_calculated_using_Gower_and_Euclidean_distances_/27090525
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For six communities, each of eight metrics was calculated across a range of the four predictor variables using both Gower and Euclidean dissimilarity matrices. Three functional forms of models were tested: intercept only, linear, and quadratic. In this table, counts underneath those functional form columns display the number of communities (out of six) for which that functional form was the best model. For example, FRich predicted by trait number and calculated with Gower dissimilarity was best predicted by a linear model for three communities and best predicted by a quadratic model for three communities. In total, this table summarizes the results of 384 models.
创建时间:
2024-09-23
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