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broman (version 0.72-4)

fisher: Fisher's exact test for a two-way table

Description

Performs a sampling version of Fisher's exact test for a two-way contingency table.

Usage

fisher(tab, n.sim = 1000)

Arguments

tab

A matrix of counts.

n.sim

Number of samples of permuted tables to consider.

Value

A single number: the P-value testing independence of rows and columns in the table.

Details

This is like the function stats::fisher.test(), but calculates an approximate P-value rather than performing a complete enumeration. This will be better for large, sparse tables.

See Also

stats::chisq.test(), stats::fisher.test(), chisq()

Examples

Run this code
# NOT RUN {
TeaTasting <- matrix(c(3,1,1,3),nrow=2)
fisher(TeaTasting,1000)

# }

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