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datac
2012 May 16
2
confidence intervals for nls or nls2 model
...55090 1.563609934 0.001570796 2.291579783 0.841891853
[6] 6.553951324 14.243274230 14.519899320 15.066473610 21.728809880
[11] 18.553054450 23.722637370
The model fitted is:
modellogis<-nls(y~SSlogis(x,a,b,c))
It runs OK. Then I calculate confidence intervals for the actual data using:
dataci<-predict(as.lm(modellogis), interval = "confidence")
BUt I don?t get smooth curves when plotting it, so I want to get other "confidence
vectors" based on a new x vector by defining a new data to do predictions:
x0 <- seq(0,15,1)
dataci<-predict(as.lm(modellogis), ne...