Statistics using R programming - Power Analysis for T-Test in R
Power analysis let you find the minimum required sample size for an experimental design, from given effect size, significant level (type 1 error) and confidence power (1 - type 2 error).
In R, you can use functions from pwr package to implement power analysis.
For t-test, the function is pwr.t.test(n=, d=, sig.level=, power=, alternative=).
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