power.grid: Calculate the power of t-test with unequal variances

In stefvanbuuren/RRR: Replacement, Reduction and Refinement

Description

Calculate the power of t-test with unequal variances

Usage

power.grid(
  n1 = 2:30,
  n2 = 2:30,
  mu1 = 0,
  mu2 = 1,
  sd1 = 1,
  sd2 = 1,
  alternative = c("two.sided", "less", "greater"),
  percent = 100,
  alpha = 0.05,
  power = 0.8,
  interpolate.sd2 = FALSE,
  ...
)

Arguments

n1	Vector of samples sizes for untreated, diseased group
n2	Vector of samples sizes for comparison group
mu1	Mean of outcome for untreated group
mu2	Mean of outcome for comparison group
sd1	Standard deviation of outcome for untreated group
sd2	Standard deviation of outcome for comparison group
alternative	String indicating one- or two sided test: "two.sided", "less" or "greater". Default "two.sided"
percent	vector indicating for which percentages of effect size the power curves should be calculated
alpha	Significance level of the test
power	Power of the test
interpolate.sd2	Should the sd2 parameter be interpolated along with percent?
...	Additional arguments passed to pwr.t2n.test()

Value

A data frame with rows corresponding to different designs

stefvanbuuren/RRR documentation built on Sept. 8, 2020, 12:11 a.m.