| ad.test {goftest} | R Documentation |
Performs the Anderson-Darling test of goodness-of-fit to a specified continuous univariate probability distribution.
ad.test(x, null = "punif", ..., nullname)
x |
Numeric vector of data values. |
null |
A function, or a character string giving the name of a function, to compute the cumulative distribution function for the null distribution. |
... |
Additional arguments for the cumulative distribution function. |
nullname |
Optional character string describing the null distribution.
The default is |
This command performs the Anderson-Darling test
of goodness-of-fit to the distribution specified by the argument
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.
An object of class "htest" representing the result of
the hypothesis test.
Original C code by George Marsaglia and John Marsaglia. R interface by Adrian Baddeley.
Anderson, T.W. and Darling, D.A. (1952) Asymptotic theory of certain 'goodness-of-fit' criteria based on stochastic processes. Annals of Mathematical Statistics 23, 193–212.
Anderson, T.W. and Darling, D.A. (1954) A test of goodness of fit. Journal of the American Statistical Association 49, 765–769.
Marsaglia, G. and Marsaglia, J. (2004) Evaluating the Anderson-Darling Distribution. Journal of Statistical Software 9 (2), 1–5. February 2004. http://www.jstatsoft.org/v09/i02
pAD for the null distribution of the test statistic.
x <- rnorm(10, mean=2, sd=1) ad.test(x, "pnorm", mean=2, sd=1)