Power & Sample Size in R

Power & Sample Size in R

Learn to calculate power and sample size for various statistical tests using R in this comprehensive tutorial. Explore one-sample and two-sample t-tests, paired t-tests, variance comparisons, ANOVA, binomial tests, McNemar's test, multiple correlation coefficients, multivariate sign tests, and Hotelling's T^2. Master the techniques for both balanced and unbalanced designs, and understand the derivation of sample size formulas. Gain insights into assumptions and practical applications of power analysis across different statistical scenarios.