fisher {broman} | R Documentation |
Performs a sampling version of Fisher's exact test for a two-way contingency table.
fisher(tab, n.sim = 1000)
tab |
A matrix of counts. |
n.sim |
Number of samples of permuted tables to consider. |
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.
A single number: the P-value testing independence of rows and columns in the table.
stats::chisq.test()
, stats::fisher.test()
, chisq()
TeaTasting <- matrix(c(3,1,1,3),nrow=2)
fisher(TeaTasting,1000)