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MESS (version 0.5.12)

ks_cumtest: Kolmogorov-Smirnov goodness of fit test for cumulative discrete data

Description

Kolmogorov-Smirnov goodness of fit test for cumulative discrete data.

Usage

ks_cumtest(x, B = 10000L, prob = NULL)

Value

A list of class "htest" giving the simulation results.

Arguments

x

A vector representing the contingency table.

B

The number of simulations used to compute the p-value.

prob

A positive vector of the same length as x representing the distribution under the null hypothesis. It will be scaled to sum to 1. If NULL (the default) then a uniform distribution is assumed.

Author

Claus Ekstrom <claus@rprimer.dk>

Details

The name of the function might change in the future so keep that in mind!

Simulation is done by random sampling from the null hypothesis.

Examples

Run this code

x <- 1:6
ks_cumtest(x)

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