| cvm.test {goftest} | R Documentation |
Performs the Cramer-von Mises test of goodness-of-fit to a specified continuous univariate probability distribution.
cvm.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
Cramer-von Mises 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.
Adrian Baddeley.
Csorgo, S. and Faraway, J.J. (1996) The exact and asymptotic distributions of Cramer-von Mises statistics. Journal of the Royal Statistical Society, Series B 58, 221–234.
pCvM for the null distribution of the test statistic.
x <- rnorm(10, mean=2, sd=1) cvm.test(x, "pnorm", mean=2, sd=1)