Statistics using R programming - Power Analysis for ANOVA 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).
When the statistical test you will use is ANOVA(Analysis of Variance), you can use function
pwr.anova.test(k=, n=, f=, sig.level=, power=) with the pwr package
where k is the number of groups and n is the common sample size in each group.
For a one-way ANOVA, effect size is measured by f.
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