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)
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