On Apr 3, 2012, at 9:25 PM, Melrose2012 wrote:
I am trying to plot the logistic regression of a dataset (# of
living flies
vs days the flies are alive) and then fit a best-fit line to this
data.
Here is my code:
plot(fflies$living~fflies$day,xlab="Number of Days",ylab="Number of
Fruit
Flies",main="Number of Living Fruit Flies vs Day",pch=16)
alive <- (fflies$living)
dead <- (fflies$living[1]-alive)
glm.fit <- glm(cbind(alive,dead)~fflies$day,family="binomial")
summary(glm.fit)
lines(sort(fflies$day),fitted(glm.fit) [order (fflies$day)],col =
"red",lwd=2)
lines(glm.fit,col = "red",lwd=2)
Is this homework?
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
--
David Winsemius, MD
West Hartford, CT
______________________________________________
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
