AndersonDarlingTest(x, null = "punif", ..., nullname)"uniform distribution"."htest" representing the result of
the hypothesis test.null. It is assumed that the values in x are
independent and identically distributed random values, with some
cumulative distribution function $F$.
The null hypothesis is that $F$ is the function
specified by the argument null, while the alternative
hypothesis is that $F$ is some other function.shapiro.test and all other tests for normality.x <- rnorm(10, mean=2, sd=1)
AndersonDarlingTest(x, "pnorm", mean=2, sd=1)Run the code above in your browser using DataLab