fisher: Fisher's exact test
In twoxtwo: Work with Two-by-Two Tables

This function conducts a Fisher's exact test using specified exposure and outcome. Internally the function uses fisher.test to test independence of twoxtwo rows and columns. The output of the function includes the odds ratio, the lower/upper bounds for the confidence interval around the estimate, and the p-value from the test.

fisher(
  .data,
  exposure,
  outcome,
  alternative = "two.sided",
  conf_level = 0.95,
  or = 1,
  ...
)

`.data`	Either a data frame with observation-level exposure and outcome data or a twoxtwo object
`exposure`	Name of exposure variable; ignored if input to `.data` is a `twoxtwo` object
`outcome`	Name of outcome variable; ignored if input to `.data` is a `twoxtwo` object
`alternative`	Alternative hypothesis for test; must be one of "two.sided", "greater", or "less"; default is `"two.sided"`
`conf_level`	Confidence level for the confidence interval; default is `0.95`
`or`	Hypothesized odds ratio; default is `1`
`...`	Additional arguments passed to twoxtwo function; ignored if input to `.data` is a `twoxtwo` object

A tibble with the following columns:

test: Name of the test conducted
estimate: Point estimate from the test
ci_lower: The lower bound of the confidence interval for the estimate
ci_upper: The upper bound of the confidence interval for the estimate
statistic: Test statistic from the test (NA for fisher())
df: Degrees of freedom parameter for the test statistic (NA for fisher())
pvalue: P-value from the test
exposure: Name of the exposure variable followed by +/- levels (e.g. smoking::yes/no)
outcome: Name of the outcome variable followed by +/- levels (e.g. heart_disease::yes/no)