data_budworm | R Documentation |
Experiment on the toxicity to the tobacco budworm Heliothis virescens of doses of the pyrethroid trans-cypermethrin to which the moths were beginning to show resistance. Batches of 20 moths of each sex were exposed for three days to the pyrethroid and the number in each batch that were dead or knocked down was recorded. Data is reported in Collett (1991, p. 75).
budworm
This data frame contains 12 rows and 4 columns:
sex of the budworm.
dose of the insecticide trans-cypermethrin (in micro grams)
.
budworms killed in a trial.
total number of budworms exposed per trial.
Collett, D. (1991) Modelling Binary Data, Chapman & Hall, London, Example 3.7
Venables, W.N; Ripley, B.D.(1999) Modern Applied Statistics with S-Plus, Heidelberg, Springer, 3rd edition, chapter 7.2
data(budworm)
## function to caclulate the empirical logits
empirical.logit<- function(nevent,ntotal) {
y <- log((nevent + 0.5) / (ntotal - nevent + 0.5))
y
}
# plot the empirical logits against log-dose
log.dose <- log(budworm$dose)
emp.logit <- empirical.logit(budworm$ndead, budworm$ntotal)
plot(log.dose, emp.logit, type='n', xlab='log-dose',ylab='emprirical logit')
title('budworm: emprirical logits of probability to die ')
male <- budworm$sex=='male'
female <- budworm$sex=='female'
lines(log.dose[male], emp.logit[male], type='b', lty=1, col=1)
lines(log.dose[female], emp.logit[female], type='b', lty=2, col=2)
legend(0.5, 2, legend=c('male', 'female'), lty=c(1,2), col=c(1,2))
## Not run:
* SAS example;
data budworm;
infile 'budworm.txt' firstobs=2;
input sex dose ndead ntotal;
run;
## End(Not run)
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