powerTOSTone.raw {TOSTER} | R Documentation |
Power analysis for TOST for one-sample t-test (raw scores).
powerTOSTone.raw(alpha, statistical_power, N, sd, low_eqbound, high_eqbound)
alpha |
alpha used for the test (e.g., 0.05) |
statistical_power |
desired power (e.g., 0.8) |
N |
sample size (e.g., 108) |
sd |
population standard deviation |
low_eqbound |
lower equivalence bounds (e.g., -0.5) expressed in raw scores |
high_eqbound |
upper equivalence bounds (e.g., 0.5) expressed in raw scores |
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, 90% power, equivalence bounds of -0.3 and 0.3 in ## raw units, assuming pooled standard deviation of 1, and assuming true effect = 0 powerTOSTone.raw(alpha=0.05, statistical_power=0.9, sd = 1, low_eqbound=-0.3, high_eqbound=0.3) ## Power for sample size of 121, alpha = 0.05, equivalence bounds of ## -0.3 and 0.3 in raw units, assuming pooled standard deviation of 1, and assuming true effect = 0 powerTOSTone.raw(alpha=0.05, N=121, sd = 1, low_eqbound=-0.3, high_eqbound=0.3) ## Power for sample size of 121, alpha = 0.05, statistical power of ## 0.9, and assuming true effect = 0 powerTOSTone.raw(alpha=0.05, N=121, statistical_power=.9, sd=1)