chisq.theo.multcomp function

Pairwise comparisons after a chi-squared test for given probabilities

Pairwise comparisons after a chi-squared test for given probabilities

Performs pairwise comparisons after a global chi-squared test for given probabilities.

chisq.theo.multcomp(x, p = rep(1/length(x), length(x)), p.method = "fdr")

Arguments

  • x: numeric vector (counts).
  • p: theoretical proportions.
  • p.method: method for p-values correction. See help of p.adjust.

Details

Since a chi-squared test is an approximate test, an exact test is preferable when the number of individuals is small (200 is a reasonable minimum). See multinomial.theo.multcomp in that case.

Returns

  • method: name of the test.

  • data.name: a character string giving the name(s) of the data.

  • observed: observed counts.

  • expected: expected counts.

  • p.adjust.method: method for p-values correction.

  • statistic: statistics of each test.

  • p.value2: corrected p-values.

  • p.value: data frame of results.

Author(s)

Maxime HERVE maxime.herve@univ-rennes1.fr

See Also

chisq.test, multinomial.test, multinomial.theo.multcomp

Examples

counts <- c(49,30,63,59) p.theo <- c(0.2,0.1,0.45,0.25) chisq.test(counts,p=p.theo) chisq.theo.multcomp(counts,p=p.theo)
  • Maintainer: Maxime HERVE
  • License: GPL-2
  • Last published: 2023-11-06

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