Statistical power for t-based tests (crim shelf)

Cohen's d (equation 8.2), the noncentrality parameters for d and r (chapter 8 and equation 8.6), t_beta equals delta minus t_CV (8.3) with power from the Johnson-Kramer noncentral-t approximation, lambda equals n f squared (8.5) and R squared from f squared (8.7). Mirrors ca8e1 to ca8e7.

Usage

morie_power_ttest_crim(
  d = NA,
  n1 = NA,
  n2 = NA,
  t_cv = NA,
  df = NA,
  f = NA,
  n_total = NA,
  r = NA,
  n = NA
)

Arguments

d

Effect size.

n1, n2

Group sizes.

t_cv

Critical t.

df

Degrees of freedom.

f

Cohen's f.

n_total

Total n.

r

Correlation.

n

Sample size for the r delta.

Value

List with delta_d, t_beta, beta, power, lambda, delta_r, r2_f2.

Examples

morie_power_ttest_crim()
#> list()