Description Usage Arguments Value References Examples

This test is an alternative to Pearson's X^2 goodness-of-fit test. In contrast to Pearson's X^2, no ad hoc cell collapsing is needed to avoid an inflated false positive rate in situations of sparse cell frequences. The statistic rapidly converges to the Monte-Carlo estimate as the number of draws increases.

1 | ```
ptw2011.gof.test(observed, expected)
``` |

`observed` |
observed matrix |

`expected` |
expected matrix |

The P value indicating whether the two tables come from the same distribution. For example, a significant result (P < alpha level) rejects the hypothesis that the two matrices are from the same distribution.

Perkins, W., Tygert, M., & Ward, R. (2011). Computing
the confidence levels for a root-mean-square test of
goodness-of-fit. *Applied Mathematics and Computations,
217*(22), 9072-9084.

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