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.
|Depends:||R (≥ 2.14)|
|Maintainer:||Bill Engels <wrengels at wisc.edu>|
|License:||GPL-2 | GPL-3 [expanded from: GPL]|
|CRAN checks:||XNomial results|
|Windows binaries:||r-devel: XNomial_1.0.4.zip, r-release: XNomial_1.0.4.zip, r-oldrel: XNomial_1.0.4.zip|
|OS X El Capitan binaries:||r-release: XNomial_1.0.4.tgz|
|OS X Mavericks binaries:||r-oldrel: XNomial_1.0.4.tgz|
|Old sources:||XNomial archive|
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