chisq.pval {corpora} | R Documentation |
P-values of Pearson's chi-squared test for frequency comparisons (corpora)
Description
This function computes the p-value of Pearsons's chi-squared test for
the comparison of corpus frequency counts (under the null hypothesis
of equal population proportions). It is based on the chi-squared
statistic X^2
implemented by the chisq
function.
Usage
chisq.pval(k1, n1, k2, n2, correct = TRUE,
alternative = c("two.sided", "less", "greater"))
Arguments
k1 |
frequency of a type in the first corpus (or an integer vector of type frequencies) |
n1 |
the sample size of the first corpus (or an integer vector specifying the sizes of different samples) |
k2 |
frequency of the type in the second corpus (or an integer
vector of type frequencies, in parallel to |
n2 |
the sample size of the second corpus (or an integer vector
specifying the sizes of different samples, in parallel to
|
correct |
if |
alternative |
a character string specifying the alternative
hypothesis; must be one of |
Details
The p-values returned by this functions are identical to those
computed by chisq.test
(two-sided only) and
prop.test
(one-sided and two-sided) for two-by-two
contingency tables.
Value
The p-value of Pearson's chi-squared test applied to the given data (or a vector of p-values).
Author(s)
Stephanie Evert (https://purl.org/stephanie.evert)
See Also
chisq
, fisher.pval
,
chisq.test
, prop.test
Examples
chisq.test(cont.table(99, 1000, 36, 1000))
chisq.pval(99, 1000, 36, 1000)