retrodesign | R Documentation |
Calculates Power, Type S, and Type M error and returns them in a list or df, depending on whether a single true effect size or range is provided. retro_design() is faster as it uses the closed form solution from Lu et al. (2018), but this function can be used for t distributions, whereas retro_design() cannot. Function originally provided in Gelman and Carlin (2014), modified with permission.
retrodesign(A, s, alpha = 0.05, df = Inf, n.sims = 10000)
A |
a numeric or list, an estimate of the true effect size |
s |
a numeric, standard error of the estimate |
alpha |
a numeric, the statistical significance threshold |
df |
a numeric, the degrees of freedom. df=Inf is equivalent to a normal distribution. |
n.sims |
a numeric, how many times to simulate when calculating Type M error. |
either a list of length 3 containing the power, type s, and type M error, or if A is a list, a df that is 4 by length(A), with an effect size and it's corresponding power, type s, and type m errors in each row.
retrodesign(1,3.28)
retrodesign(list(.2,2,20),8.1)
retrodesign(.5,1,df=10)
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