powerTOSTpaired {TOSTER} | R Documentation |
Power analysis for TOST for dependent t-test (Cohen's dz).
powerTOSTpaired(alpha, statistical_power, N, low_eqbound_dz, high_eqbound_dz)
alpha |
alpha used for the test (e.g., 0.05) |
statistical_power |
desired power (e.g., 0.8) |
N |
number of pairs (e.g., 96) |
low_eqbound_dz |
lower equivalence bounds (e.g., -0.5) expressed in standardized mean difference (Cohen's dz) |
high_eqbound_dz |
upper equivalence bounds (e.g., 0.5) expressed in standardized mean difference (Cohen's dz) |
Calculate either achieved power, equivalence bounds, or required N, assuming a true effect size of 0. Returns a string summarizing the power analysis, and a numeric variable for number of observations, equivalence bounds, or power.
Chow, S.-C., Wang, H., & Shao, J. (2007). Sample Size Calculations in Clinical Research, Second Edition - CRC Press Book. Formula 3.1.9
## Sample size for alpha = 0.05, 80% power, equivalence bounds of ## Cohen's dz = -0.3 and Cohen's d = 0.3, and assuming true effect = 0 powerTOSTpaired(alpha=0.05,statistical_power=0.8,low_eqbound_dz=-0.3,high_eqbound_dz=0.3) ## Sample size for alpha = 0.05, N = 96 pairs, equivalence bounds of ## Cohen's dz = -0.3 and Cohen's d = 0.3, and assuming true effect = 0 powerTOSTpaired(alpha=0.05,N=96,low_eqbound_dz=-0.3,high_eqbound_dz=0.3) ## Equivalence bounds for alpha = 0.05, N = 96 pairs, statistical power of ## 0.8, and assuming true effect = 0 powerTOSTpaired(alpha=0.05,N=96,statistical_power=0.8)