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Name:

Description:

Estimation of the degradation profile of an agrochemical based on soil samples at depth 0-10cm from a calibration experiment.

Variables:

A data frame with 42 observations on the following 3 variables.

conc

a numeric vector of concentrations (g/ha)

weight

a numeric vector of plant weight (mg) after 3 weeks' growth

 

Details

It is an experiment with seven concentrations and six replicates per concentration. Nasturtium is sensitive and its weight reduces noticeable at low concentrations.

Racine-Poon (1988) suggests using a three-parameter log-logistic model.

Link To Google Sheets:

Rows:

Columns:

License Type:

References/Notes/Attributions:

Source

Racine-Poon, A. (1988) A Bayesian Approach to Nonlinear Calibration Problems, J. Am. Statist. Ass., 83, 650–656.

R Dataset Upload:

Use the following R code to directly access this dataset in R.

d <- read.csv("https://www.key2stats.com/Dose-response_profile_of_degradation_of_agrochemical_using_nasturtium_487_84.csv")

R Coding Interface:


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