# NOT RUN {
#######################################
## cell transformation assay example ##
#######################################
str(cta)
## change class of cta$conc into factor
cta$concf <- factor(cta$conc, levels=unique(cta$conc))
ggplot(cta, aes(y=foci, x=concf)) +
geom_boxplot() +
geom_dotplot(binaxis = "y", stackdir = "center", binwidth = 0.2) +
xlab("concentration")
# glm fit assuming a Poisson distribution for foci counts
# parameter estimation on the log link
# removing the intercept
fm <- glm(foci ~ concf-1, data=cta, family=poisson(link="log"))
### Comparing each dose to the control by Dunnett-type comparisons
# Constructing contrast matrix
library(multcomp)
CM <- contrMat(table(cta$concf), type="Dunnett")
# calculating signed root deviance profiles
(dmcp <- mcprofile(fm, CM))
# computing profiles for the modified likelihood root
hp <- hoa(dmcp)
plot(hp)
# comparing confidence intervals
confint(hp)
confint(dmcp)
# }
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