Deguelin applied to chrysanthemum aphis
Quantal assay data from an experiment where the insectide deguelin was applied to Macrosiphoniella sanborni.
data(deguelin)
A data frame with 6 observations on the following 4 variables.
dosea numeric vector of doses applied
log10dosea numeric vector of logarithm-transformed doses
ra numeric vector contained number of dead insects
na numeric vector contained the total number of insects
The log-logistic model provides an inadequate fit.
The dataset is used in Nottingham and Birch (2000) to illustrate a semiparametric approach to dose-response modelling.
Morgan, B. J. T. (1992) Analysis of Quantal Response Data, London: Chapman \& Hall/CRC (Table 3.9, p. 117).
Notttingham, Q. J. and Birch, J. B. (2000) A semiparametric approach to analysing dose-response data, Statist. Med., 19, 389–404.
## Log-logistic fit deguelin.m1 <- drm(r/n~dose, weights=n, data=deguelin, fct=LL.2(), type="binomial") modelFit(deguelin.m1) summary(deguelin.m1) ## Loess fit deguelin.m2 <- loess(r/n~dose, data=deguelin, degree=1) ## Plot of data with fits superimposed plot(deguelin.m1, ylim=c(0.2,1)) lines(1:60, predict(deguelin.m2, newdata=data.frame(dose=1:60)), col = 2, lty = 2) lines(1:60, 0.95*predict(deguelin.m2, newdata=data.frame(dose=1:60))+0.05*predict(deguelin.m1, newdata=data.frame(dose=1:60), se = FALSE), col = 3, lty=3)
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