ibr_index: IBR (Integrated Biomarker Response) index

In annaresende/IBRtools: Integrating Biomarker-Based Assessments and Radarchart Creation

IBR (Integrated Biomarker Response) index

Description

This function calculates de Integrated Biomarker Response index proposed by Beliaeff and Burgeot, 2002 and revisited by Devin et al. 2014.

Usage

ibr_index(df)

Arguments

df	The data frame output of the function ibr_std of this package.

Details

Gives a list of two dataframes, the first data frame is IBR_total and it can be used for statistical analysis (such as ANOVA, t-test) to verify the differences between each level of the independent variable(s). The second data frame is IBR_mean_sd, it gives the mean values and standard deviation for each independent variable, which is usually presented next to a radarplot.

Value

Returns a list with two dataframes, the IBR index value per treatment and its mean and standard deviation

Warnings

You must have at least 3 biomarkers and a maximum of 9 biomarkers to perform this index correctly.

References

Beliaeff, B., & Burgeot, T. (2002). Integrated biomarker response: A useful tool for ecological risk assessment. Environmental Toxicology and Chemistry, 21(6), 1316–1322.

Devin, S., Burgeot, T., Giambérini, L., Minguez, L., & Pain-Devin, S. (2014). The integrated biomarker response revisited: Optimization to avoid misuse. Environmental Science and Pollution Research, 21(4), 2448–2454. https://doi.org/10.1007/s11356-013-2169-9

Examples

data(enzact)

outstd<- ibr_std(enzact)

ibr_index(outstd)

annaresende/IBRtools documentation built on Aug. 23, 2023, 1:55 p.m.