Science & Technology
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Risk-Screening Environmental Indicators (RSEI) Methodology Version 2.3.3
the document for Risk-Screening Environmental Indicators (RSEI) Methodology Version 2.3.3, July 2015
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Risk-Screening Environmental Indicators (RSEI) Technical Appendices Version 2.3.3
Technical appendices for the Risk-Screening Environmental Indicators screening tool
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R Script: Compute Weighted-Average Tolerance Values
Links to downloadable scripts and example data to compute weighted averages.
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Exploratory Data Analysis
Intro to exploratory data analysis. Overview of variable distributions, scatter plots, correlation analysis, GIS datasets. Use of conditional probability to examine stressor levels and impairment. Exploring correlations among multiple stressors.
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Estimating Taxon-Environment Relationships: Central Tendencies
This page describes weighted average approach to estimating species optima in terms of central tendencies.
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R Script: Classify Response Shape
Steps on how to perform a graphical classification of response shape.
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R Script: Set Up Variables
Links to downloadable scripts and example data
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Using R to Estimate Central Tendencies
Script for computing a central tendency for a taxon.
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Selecting an Analysis Approach
An approach for selecting statistical analyses to inform causal analysis. Describes methods for determining whether test site conditions differ from reference expectations. Describes an approach for estimating stressor-response relationships.
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Basic Principles & Issues
Interpreting p-values and confidence intervals
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PECBO Appendix: Site Map
Site map for finding content in the PECBO Appendix, PECBO stands for "predicting environmental conditions from biological observations."
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R Script: Calculate Weighted Average Inferences
Code to calculate the weighted average inference.
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Download Software
Overview of the data analysis tools available for download on CADDIS. Provides instructions for downloading and installing CADStat, access to Microsoft Excel macro for computing SSDs, a brief overview of command line use of R, a statistical software.
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Using Taxon-Environment Relationships: Download Files and Set Up R
Step by step instructions for setting up your workspace to run statistical scripts.
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PECBO Appendix Introduction: Module Organization
Table of contents for PECBO Module
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Download R Scripts and Sample Data
Includes links to downloadable scripts and example data to illustrate the analysis methods described in this module.
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R Script: Compute Cumulative Percentiles
Links to downloadable scripts and example data for how to compute cumulative percentiles.
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Exploratory Data Analysis
Additional approaches for understanding stressor correlations: variable clustering, PCA, Biplots, collinearity, space and time,
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Using R to Compute the Area Under the ROC Curve
Script for assessing model fit
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PECBO Appendix
Overview of PECBO Module, using scripts to infer environmental conditions from biological observations, statistically estimating species-environment relationships, methods for inferring environmental conditions, statistical scripts in module.