ci.etasqr {statpsych} | R Documentation |
Computes a confidence interval for a population eta-squared, partial eta-squared, or generalized eta-squared in a fixed-factor between-subjects design. An approximate bias adjusted estimate is also computed.
ci.etasqr(alpha, etasqr, df1, df2)
alpha |
alpha value for 1-alpha confidence |
etasqr |
estimated eta-squared |
df1 |
degrees of freedom for effect |
df2 |
error degrees of freedom |
Returns a 1-row matrix. The columns are:
Eta-squared - estimate of eta-squared
adj Eta-squared - bias adjusted eta-squared estimate
LL - lower limit of the confidence interval
UL - upper limit of the confidence interval
ci.etasqr(.05, .241, 3, 116) # Should return: # Eta-squared adj Eta-squared LL UL # [1,] 0.241 0.2213707 0.1040229 0.3493431