Power and Sample Size for Fisher's Exact Test for Two Proportions

Source: R/getDesignProportions.R

Obtains the power given sample size or obtains the sample size given power for Fisher's exact test for two proportions.

getDesignFisherExact(
  beta = NA_real_,
  n = NA_real_,
  pi1 = NA_real_,
  pi2 = NA_real_,
  allocationRatioPlanned = 1,
  alpha = 0.05
)

Arguments

beta

The type II error.

n

The total sample size.

pi1

The assumed probability for the active treatment group.

pi2

The assumed probability for the control group.

allocationRatioPlanned

Allocation ratio for the active treatment versus control. Defaults to 1 for equal randomization.

alpha

The two-sided significance level. Defaults to 0.05.

Value

A data frame with the following variables:

  • alpha: The two-sided significance level.

  • power: The power.

  • n: The sample size.

  • pi1: The assumed probability for the active treatment group.

  • pi2: The assumed probability for the control group.

  • allocationRatioPlanned: Allocation ratio for the active treatment versus control.

Author

Kaifeng Lu, kaifenglu@gmail.com

Examples


(design1 <- getDesignFisherExact(
  beta = 0.2, pi1 = 0.5, pi2 = 0.2, alpha = 0.05))
#>   alpha     power  n pi1 pi2 allocationRatioPlanned
#> 1  0.05 0.8168484 87 0.5 0.2                      1