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R code to analyze SSDs based on the EqP theory and spiked-sediment tests

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KyoHiki/EqP_vs_Spiked_sediment_test

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What is this page?

This page shows the R code for analysis to compare sediment risk assessments based on two diffeent approaches: the equilibrium partitioning (EqP) theory and spiked-sediment toxicity tests. See Hiki et al. (2002, Environmental Toxicology and Chemistry; doi: 10.1002/etc.5270) for more details.

Introduction

Sediment quality guidelines for nonionic hydrophobic chemicals have been developed through two different methods: the EqP theory and spiked-sediment tests. It is still not conclusive whether using the EqP approach or spiked-sediment test is more appropriate to develop sediment quality guidelines. Here we show the R code and dataset to analyze the relationship SSDs between based on the EqP approach and spiked-sediment tests, which can reproduce the results in Hiki et al. (2022, Environmental Toxicology and Chemistry; doi: 10.1002/etc.5270).

Files

  1. Rcode.md
    An example R code for analysis and visualization. This code requires an input dataset (i.e., "TablesS1_S3.xlsx").

  2. TablesS1_S3.xlsx
    Data for R analysis.

  3. figures
    Figures generated from the R code.

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R code to analyze SSDs based on the EqP theory and spiked-sediment tests

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