TOSTER (version 0.3.4)

powerTOSTr: Power analysis for TOST for correlations.

Description

Power analysis for TOST for correlations.

Usage

powerTOSTr(alpha, statistical_power, N, low_eqbound_r, high_eqbound_r)

Arguments

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_r

lower equivalence bounds (e.g., -0.3) expressed in a correlation effect size

high_eqbound_r

upper equivalence bounds (e.g., 0.3) expressed in a correlation effect size

Value

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.

Examples

# NOT RUN {
## Sample size for alpha = 0.05, 90% power, equivalence bounds of
## r = -0.1 and r = 0.1, assuming true effect = 0
powerTOSTr(alpha=0.05, statistical_power=0.9, low_eqbound_r=-0.1, high_eqbound_r=0.1)

## Sample size for alpha = 0.05, N=536, equivalence bounds of
## r = -0.1 and r = 0.1, assuming true effect = 0
powerTOSTr(alpha=0.05, N=536, low_eqbound_r=-0.1, high_eqbound_r=0.1)

## Equivalence bounds for alpha = 0.05, N=536, statistical power of
## 0.9, assuming true effect = 0
powerTOSTr(alpha=0.05, N=536, statistical_power=0.9)
# }