chisq_pval: P-values of Pearson's chi-squared test for frequency...

Description Usage Arguments Details Value Author(s) See Also

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

1
2
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 k1)

n2

the sample size of the second corpus (or an integer vector specifying the sizes of different samples, in parallel to n1)

correct

if TRUE, apply Yates' continuity correction (default)

alternative

a character string specifying the alternative hypothesis; must be one of two.sided (default), less or greater

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)

Stefan Evert

See Also

chisq, fisher.pval, chisq.test, prop.test


corpora documentation built on May 2, 2019, 4:56 p.m.

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