Tests whether a set of counts fit a given expected ratio. For example, a genetic cross might be expected to produce four types in the relative frequencies of 9:3:3:1. To see whether a set of observed counts fits this expectation, one can examine all possible outcomes with xmulti() or a random sample of them with xmonte() and find the probability of an observation deviating from the expectation by at least as much as the observed. As a measure of deviation from the expected, one can use the log-likelihood ratio, the multinomial probability, or the classic chi-square statistic. A histogram of the test statistic can also be plotted and compared with the asymptotic curve.
Package details |
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Author | Bill Engels <wrengels@wisc.edu> |
Maintainer | Bill Engels <wrengels@wisc.edu> |
License | GPL |
Version | 1.0.4 |
Package repository | View on CRAN |
Installation |
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