| z.score {corpora} | R Documentation |
This function computes a z-score statistic for frequency counts, based on a normal approximation to the correct binomial distribution under the random sampling model.
z.score(k, n, p = 0.5, correct = TRUE)
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) |
correct |
if |
The z statistic is given by
%
z := \frac{k - np}{\sqrt{n p (1-p)}}
When Yates' continuity correction is enabled, the absolute
value of the numerator d := k - np is reduced by 1/2,
but clamped to a non-negative value.
The z-score corresponding to the specified data (or a vector of
z-scores).
Stephanie Evert (Rlhttps://purl.org/stephanie.evert)