Hello,
I am trying to determine LD50 and LD95 using dose.p in MASS however some of the
Residual variance is larger than the degrees of freedom. Please can anyone help
with any advice as to how i can correct for this?
Here is the model as inputted into R
y<-cbind(dead,n-dead)
model<-glm(y~log(conc),binomial)
summary(model)
xv<-seq(min(log(conc)-1),max(log(conc)+1),0.01)
lines(xv,predict(model,list(conc=exp(xv)),type="response"))
dose.p(model,p=c(0.10,0.25,0.5,0.75,0.90,0.95))
Thanks
Adaku
[[alternative HTML version deleted]]
______________________________________________
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.
