Description Usage Format Details Source Examples
The number of immobile daphnids –in contrast to mobile daphnids– out of a total of 20 daphnids was counted for several concentrations of a toxic substance.
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A data frame with 16 observations on the following 4 variables.
dosea numeric vector
noa numeric vector
totala numeric vector
timea factor with levels 24h 48h
The same daphnids were counted at 24h and later again at 48h.
Nina Cedergreen, Faculty of Life Sciences, University of Copenhagen, Denmark.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | ## Fitting a model with different parameters
## for different curves
daphnids.m1 <- drm(no/total~dose, time, weights = total,
data = daphnids, fct = LL.2(), type = "binomial")
## Goodness-of-fit test
modelFit(daphnids.m1)
## Summary of the data
summary(daphnids.m1)
## Fitting a model with a common intercept parameter
daphnids.m2 <- drm(no/total~dose, time, weights = total,
data = daphnids, fct = LL.2(), type = "binomial",
pmodels = list(~1, ~time))
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