[R] 95% confidence intercal with glm

Hi I had to use a glm instead of my basic lm on some data due to unconstant variance. now, when I plot the model over the data, how can I easily get the 95% confidence interval that sormally coming from: yv - predict(modelVar,list(aveLength=xv),int=c)

Re: [R] help interpreting a model summary

David Winsemius wrote: On Sep 19, 2010, at 5:59 PM, zozio32 wrote: Thanks for you're long answer. I have to say, I am not fully sure of what you're meaning everywhere. As I said, I am merely following a recipe book, and when things depart from it I am a bit lost. I'll try

[R] help interpreting a model summary

Hello, I am all new here. Thanks for the job done, R really helped me in my thesis lately. However, I am kind of new in statistics, coming from mecanical engineering, and I mostly teached myself with The R Book, so I may do silly things some time. PLease tell me if you think so. Anyway, I've

Re: [R] help interpreting a model summary

Thanks for you're long answer. I have to say, I am not fully sure of what you're meaning everywhere. As I said, I am merely following a recipe book, and when things depart from it I am a bit lost. I'll try to answer to each of your paragraphs: 3: I was not wanting to include 3-way

Re: [R] help interpreting a model summary

Actually, rereading trough my post, I think I understood a bit better now. I have now fit a much simpler to each part of the data, and things looks a bit easier to understand. for the part were reflection break[xmin], i now have: Call: lm(formula = weightedDiff ~ angleNoise * reflection, data