This function should be used with the meta.ave.gen function when the effect size is a correlation. Use the estimated average correlation and its standard error from meta.ave.gen in this function to obtain a more accurate confidence interval for the population average correlation.
meta.ave.fisher(alpha, cor, se)
alpha value for 1-alpha confidence
estimate of average correlation
standard error of average correlation
Returns a 1-row matrix. The columns are:
Estimate - estimate of average correlation (from input)
LL - lower limit of the confidence interval
UL - lower limit of the confidence interval
meta.ave.fisher(0.05, 0.376, .054)
#> Estimate LL UL
#> 0.376 0.2656039 0.4766632
# Should return:
# Estimate LL UL
# 0.376 0.2656039 0.4766632