Wrap fisher.test (test of categorical independence).

# S3 method for data.frame
wrapFisherTest(
  x,
  Column1Name,
  Column2Name,
  ...,
  na.rm = FALSE,
  workspace = 2e+05,
  hybrid = FALSE,
  control = list(),
  or = 1,
  alternative = "two.sided",
  conf.int = TRUE,
  conf.level = 0.95,
  simulate.p.value = FALSE,
  B = 2000
)

Arguments

x	data.frame
Column1Name	character column 1 name
Column2Name	character column 2 name
...	extra arguments (not used)
na.rm	logical, if TRUE remove NA values
workspace	passed to `fisher.test`
hybrid	passed to `fisher.test`
control	passed to `fisher.test`
or	passed to `fisher.test`
alternative	passed to `fisher.test`
conf.int	passed to `fisher.test`
conf.level	passed to `fisher.test`
simulate.p.value	passed to `fisher.test`
B	passed to `fisher.test`

Value

wrapped test.

Examples


d <- data.frame(x=c('b','a','a','a','b','b','b'),
                y=c('1','1','1','2','2','2','2'))
wrapFisherTest(d, 'x', 'y')
#> [1] "Fisher's Exact Test for Count Data: (odds.ratio=4.45, p=n.s.)."