power.prop.test        package:stats        R Documentation(latin1)

Power calculations two sample test for proportions

Description:

     Compute power of test, or determine parameters to obtain target
     power.

Usage:

     power.prop.test(n = NULL, p1 = NULL, p2 = NULL, sig.level = 0.05,
                     power = NULL,
                     alternative = c("two.sided", "one.sided"),
                     strict = FALSE)

Arguments:

       n: Number of observations (per group)

      p1: probability in one group

      p2: probability in other group

sig.level: Significance level (Type I error probability)

   power: Power of test (1 minus Type II error probability)

alternative: One- or two-sided test

  strict: Use strict interpretation in two-sided case

Details:

     Exactly one of the parameters 'n', 'p1', 'p2', 'power', and
     'sig.level' must be passed as NULL, and that parameter is
     determined from the others. Notice that 'sig.level' has a non-NULL
     default so NULL must be explicitly passed if you want it 
     computed.

     If 'strict = TRUE' is used, the power will include the probability
     of rejection in the opposite direction of the true effect, in the
     two-sided  case. Without this the power will be half the
     significance level if the  true difference is zero.

Value:

     Object of class '"power.htest"', a list of the arguments
     (including the computed one) augmented with 'method' and 'note'
     elements.

Note:

     'uniroot' is used to solve power equation for unknowns, so you may
     see errors from it, notably about inability to bracket the root
     when invalid arguments are given. If one of them is computed 'p1 <
     p2' will hold, although this is not enforced when both are
     specified.

Author(s):

     Peter Dalgaard.  Based on previous work by Claus Ekstroem

See Also:

     'prop.test', 'uniroot'

Examples:

      power.prop.test(n = 50, p1 = .50, p2 = .75)
      power.prop.test(p1 = .50, p2 = .75, power = .90)
      power.prop.test(n = 50, p1 = .5, power = .90)

