binom.pval {corpora} | R Documentation |
This function computes the p-value of a binomial test for frequency counts. In the two-sided case, a fast approximation is used that may be inaccurate for small samples.
binom.pval(k, n, p = 0.5,
alternative = c("two.sided", "less", "greater"))
k |
frequency of a type in the corpus (or an integer vector of frequencies) |
n |
number of tokens in the corpus, i.e. sample size (or an integer vector specifying the sizes of different samples) |
p |
null hypothesis, giving the assumed proportion of this type in the population (or a vector of proportions for different types and/or different populations) |
alternative |
a character string specifying the alternative
hypothesis; must be one of |
When alternative
is two.sided
, a fast approximation of the
two-sided p-value is used (multiplying the appropriate single-sided tail
probability by two), which may be inaccurate for small samples. Unlike
the exact algorithm of binom.test
, this implementation can
be applied to large frequencies and samples without a serious impact on
performance.
The p-value of a binomial test applied to the given data (or a vector of p-values).
Stephanie Evert (Rlhttps://purl.org/stephanie.evert)