Hi,
I'm currently doing some analyses on time of failure of a product.
I found on the internet some article about the Arrhenius equation, and I can
calculate the results with R.
Equation:
k=A*exp(-Ea/R*T)
I can fit a model with lm for this purpose, so far no problem.
But for the confidence interval, how can I use the Weibull distribution?
Or should I use the weibull distribution at all? Or can I safely use the
predict.lm method to predict my time of failure at a certain temperature?
Is there anyone who has experience with this kind of calculations?
Kind regards
Bart
[[alternative HTML version deleted]]
______________________________________________
[email protected] 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.
