CEx: Effect Calculation for All Ninteen Curves

In mixtox: Dose Response Curve Fitting and Mixture Toxicity Assessment

Effect Calculation for All Ninteen Curves

Description

Calculating responses at particular concentrations.

Usage

CEx(model, param, conc, sav = FALSE)

Arguments

model	a character vector of equation names
param	a numeric matrix of fitting coefficients with rownames (equation selected) and colnames (ALpha, Beta, and Gamma). For equations with two parameters, Gamma can be set as zero or any other numeric value.
conc	a numeric vector with single or multiple concentrations.
sav	TRUE: save output to a default file; FALSE: output will not be saved; a custom file directory: save output to the custom file directory.

Details

Responses will be calculated with provided equations (model), associated fitting parameters (param), and concentrations.

Value

effv	a numeric vector of effect(s)

References

Zhu X-W, et.al. 2013. Modeling non-monotonic dose-response relationships: Model evaluation and hormetic quantities exploration. Ecotoxicol. Environ. Saf. 89:130-136.
Hill equation (biochemistry) http://en.wikipedia.org/wiki/Hill_equation_(biochemistry)
Scholze, M. et al. 2001. A General Best-Fit Method for Concentration-Response Curves and the Estimation of Low-Effect Concentrations. Environmental Toxicology and Chemistry 20(2):448-457.

Examples

## example 1
# calculate the responses of hormesis curves at the concentration of 0.1 and 0.02 mol/L
model <- hormesis$sgl$model
param <- hormesis$sgl$param
CEx(model, param, conc = c(0.1, 0.02)) 

## example 2
# calculate the effect caused by four heavy metals and four ionic liquids at the concentration of
# 0.00001 and 0.00002 mol/L on the MCF-7 cells
model <- cytotox$sgl$model
param <- cytotox$sgl$param
CEx(model, param, conc = c(0.00001, 0.00002)) 

## example 3
# calculate the response ranges
model <- hormesis$sgl$model
param <- hormesis$sgl$param
CEx(model, param, conc = c(0, 1e20))

mixtox documentation built on June 20, 2022, 5:05 p.m.