se's and CI's for fitted lines in multivariate regression analysis
?predict Have you read An Inrtroduction to R? -- Bert
On Wed, Oct 10, 2012 at 6:49 AM, Sigrid <s.stenerud at gmail.com> wrote:
I?m entirely stumped on this particular issue and really hoping someone has some advice for me. I am running a covariant model in lm I would like to give the standard errors or the confidence intervals for the fitted lines. I?ve been using the dataset OrangeSprays where I want lines for each level of treatment over the covariant ?colpos?. I?ve been able to calculate intercepts and slopes for each lines by adding up the parameters, but this does not make sense when the comes to the se?s. I?ve run the summary (model) function, but only get the differences in standard error between lines. Also by running confint(model), I have the same problem. How can I get standard error per or the CI-interval for each fitted line? I?ve attached the coding underneath. Thank you, Sigrid
data(OrchardSprays) model<-lm(decrease~rowpos+colpos+treatment+treatment:colpos) summary(model)
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Bert Gunter Genentech Nonclinical Biostatistics Internal Contact Info: Phone: 467-7374 Website: http://pharmadevelopment.roche.com/index/pdb/pdb-functional-groups/pdb-biostatistics/pdb-ncb-home.htm