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G.test: G-test

Description

Perfom a G-test on a contingency table or a vector of counts.

Usage

G.test(x, p = rep(1/length(x), length(x)))

Arguments

x
a numeric vector or matrix (see Details).
p
theoretical proportions (optional).

Value

  • methodname of the test.
  • statistictest statistics.
  • parametertest degrees of freedom
  • p.valuep-value.
  • data.namea character string giving the name(s) of the data.
  • observedthe observed counts.
  • expectedthe expected counts under the null hypothesis.

Details

If x is matrix, it must be constructed like this: - 2 columns giving number of successes (left) and fails (right) - 1 row per population. The function works as chisq.test : - if x is a vector and theoretical proportions are not given, equality of counts is tested - if x is a vector and theoretical proportions are given, equality of counts to theoretical counts (given by theoretical proportions) is tested - if x is a matrix, equality of proportion of successes between populations is tested.

See Also

chisq.test, G.multcomp, G.theo.multcomp, pairwise.G.test

Examples

Run this code
counts <- c(5,15,23,8,14)
G.test(counts)

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