>I would like to calculate and plot a Weibull distribution (Weibull best-fit
>line, accuracy curves left and right beside the best-fit line) for a simple
>set
>of data points. I need the shape and the scale parameter for the best-fit and
>values like B5, B10, B50, B90, B95.
You can use the survreg routine, which fits a Weibull distribution to censored
data. You simply don't have censoring.
> library(survival)
> fit <- survreg(Surv(time) ~ 1, data=lung)
> fit
Coefficients:
(Intercept)
5.819191
Scale= 0.681689
Loglik(model)= -1509.6 Loglik(intercept only)= -1509.6
n= 228
> predict(fit, type='quantile', p=c(.05, .1, .5, .9, .95))[1,]
[1] 44.45340 72.61274 262.26181 594.51261 711.32731
There are many ways to parameterize the Weibull. Assume we have
F(x) = 1- exp((-lambda*x)^gamma)
Survreg fits a number of distributions by transforming the problem to a
location/scale form, for the Weibull intercept = -log(lambda) and scale =
1/gamma.
Terry Therneau
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