View source: R/multinomial.test.R
multinomial.test | R Documentation |
Perfoms an exact multinomial test on a vector of counts.
multinomial.test(x, p = rep(1/length(x), length(x)))
x |
numeric vector (counts). Can also be a factor; in that case |
p |
theoretical proportions (optional). |
The function works as chisq.test
or G.test
:
- if theoretical proportions are not given, equality of counts is tested
- if theoretical proportions are given, equality of counts to theoretical counts (given by theoretical proportions) is tested.
Since chi-squared and G tests are approximate tests, exact tests are preferable when the number of individuals is small (200 is a reasonable minimum).
Be aware that the calculation time increases with the number of individuals (i.e. the sum of x
) and the number of groups (i.e. the length of x
).
An exact multinomial test with two groups is strictly the same as an exact binomial test.
method |
name of the test. |
p.value |
p-value. |
data.name |
a character string giving the name(s) of the data. |
observed |
the observed counts. |
expected |
the expected counts under the null hypothesis. |
Maxime HERVE <maxime.herve@univ-rennes1.fr> based on multinomial.test
chisq.test
, G.test
, binom.test
, multinomial.multcomp
, multinomial.theo.multcomp
counts <- c(5,15,23)
multinomial.test(counts)
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