knitr::opts_chunk$set( message = FALSE, digits = 3, collapse = TRUE, comment = "#>" ) options(digits = 3)
The Hill equation is a special dose-response model. Below we demonstrate how to specifically fit this model by hillFit()
function.
We first prepare standardized data where the response is scaled to between 0 and 1. A generic plot function is implemented for the fitted object.
library(drexplorer2) data(ryegrass) ## prepare standardized data sdat <- prepDRdat(drMat = ryegrass[, c(2, 1)], alpha = 0.01, fitCtr = FALSE, standardize = TRUE)$dat ## fit Hill equation fit_hill <- hillFit(d = sdat$dose, y = sdat$response) plot(fit_hill) fit_hill[1:length(fit_hill)]
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