Permutation Tests to Identify Significant Constraint or Promotion Within Biological Scatterplots

ABSTRACT Scatterplots of biological datasets often have no‐data zones, which suggest constraint or promotion of dependent variables. Although methods exist to estimate boundary lines—that is, to fit lines to the edges of scatters of data points—there are, to our knowledge, none available to assess t...

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Main Authors: Anthony J. Mills, Ruan vanMazijk
Format: Article
Language:English
Published: Wiley 2024-11-01
Series:Ecology and Evolution
Subjects:
Online Access:https://doi.org/10.1002/ece3.70584
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author Anthony J. Mills
Ruan vanMazijk
author_facet Anthony J. Mills
Ruan vanMazijk
author_sort Anthony J. Mills
collection DOAJ
description ABSTRACT Scatterplots of biological datasets often have no‐data zones, which suggest constraint or promotion of dependent variables. Although methods exist to estimate boundary lines—that is, to fit lines to the edges of scatters of data points—there are, to our knowledge, none available to assess the significance of the areal extents of no‐data zones. Accordingly, we propose a flexible boundary line definition paired with a permutation test of the magnitude of no‐data zones—rather than testing the shape or slope of the line as current methods do. Our proposed permutation test can be used with any method of defining a boundary line. We demonstrate our approach with empirical datasets, find no‐data zones that methods such as quantile regressions fail to detect, and discuss how our approach can quantify constraint and promotion relationships that are not always apparent with other statistics.
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spelling doaj-art-7a3dcb98141a417c849a85f959db6ddb2024-12-20T04:20:58ZengWileyEcology and Evolution2045-77582024-11-011411n/an/a10.1002/ece3.70584Permutation Tests to Identify Significant Constraint or Promotion Within Biological ScatterplotsAnthony J. Mills0Ruan vanMazijk1Department of Soil Science Stellenbosch University Stellenbosch South AfricaC4 EcoSolutions (Pty) Ltd. Cape Town South AfricaABSTRACT Scatterplots of biological datasets often have no‐data zones, which suggest constraint or promotion of dependent variables. Although methods exist to estimate boundary lines—that is, to fit lines to the edges of scatters of data points—there are, to our knowledge, none available to assess the significance of the areal extents of no‐data zones. Accordingly, we propose a flexible boundary line definition paired with a permutation test of the magnitude of no‐data zones—rather than testing the shape or slope of the line as current methods do. Our proposed permutation test can be used with any method of defining a boundary line. We demonstrate our approach with empirical datasets, find no‐data zones that methods such as quantile regressions fail to detect, and discuss how our approach can quantify constraint and promotion relationships that are not always apparent with other statistics.https://doi.org/10.1002/ece3.70584bivariate databoundary linenon‐parametric statisticsquantile regression
spellingShingle Anthony J. Mills
Ruan vanMazijk
Permutation Tests to Identify Significant Constraint or Promotion Within Biological Scatterplots
Ecology and Evolution
bivariate data
boundary line
non‐parametric statistics
quantile regression
title Permutation Tests to Identify Significant Constraint or Promotion Within Biological Scatterplots
title_full Permutation Tests to Identify Significant Constraint or Promotion Within Biological Scatterplots
title_fullStr Permutation Tests to Identify Significant Constraint or Promotion Within Biological Scatterplots
title_full_unstemmed Permutation Tests to Identify Significant Constraint or Promotion Within Biological Scatterplots
title_short Permutation Tests to Identify Significant Constraint or Promotion Within Biological Scatterplots
title_sort permutation tests to identify significant constraint or promotion within biological scatterplots
topic bivariate data
boundary line
non‐parametric statistics
quantile regression
url https://doi.org/10.1002/ece3.70584
work_keys_str_mv AT anthonyjmills permutationteststoidentifysignificantconstraintorpromotionwithinbiologicalscatterplots
AT ruanvanmazijk permutationteststoidentifysignificantconstraintorpromotionwithinbiologicalscatterplots