012 at 2:45 PM, Danielle Duncan wrote:
> Hello, I used the glm function in R to fit a dose-response relationship
> and then have been using dose.p to calculate the LC50, however I would like
> to calculate the NOEL (no observed effect level), ie the lowest dose above
> which responses start o
Thanks everyone for the advice, you raise interesting points. Maybe the
best thing for me to do is do an ANOVA in R with binomial data (if
possible) and find the lowest dose that gives a significant difference from
the controls.
On Mon, Apr 2, 2012 at 2:45 PM, Danielle Duncan wrote:
> Hello
= glm(Y~X,family=binomial)
> plot(1:10, predict(glmfit,newdata=data.frame(X=1:10),type="response"),
> type="l",ylim=c(0,1),xlab="X",ylab="Y")
> rug(jitter(X[Y==0]),side=1)
> rug(jitter(X[Y==1]),side=3)
>
> On Tue, Apr 3, 2012 at 3:19 PM, D
the package segmented includes the dataset down that can be useful as
> an example..
>
> data(down)
> with(down, plot(age, cases/births))
>
> There is a paper of mine on R news 2008 discussing the package..
>
> hope this helps you,
> vito
>
>
>
> On Mon, 2 A
Hello, I used the glm function in R to fit a dose-response relationship and
then have been using dose.p to calculate the LC50, however I would like to
calculate the NOEL (no observed effect level), ie the lowest dose above
which responses start occurring. Does anyone know how to do this?
[
Greetings, I have a question that I'd like to get input on. I have a
classic toxicology study where I artificially fertilized and exposed
embryos to a chemical and counted defects. In addition, I kept track of
male-female pairs that I used to artificially fertilize and generate
embryos with. I need
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