meta.ave.fisher: Fisher confidence interval for an average correlation.

In dgbonett/vcmeta: Varying Coefficient Meta-Analysis

Fisher confidence interval for an average correlation.

Description

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.

Usage

meta.ave.fisher(alpha, cor, se)

Arguments

alpha	alpha value for 1-alpha confidence
cor	estimate of average correlation
se	standard error of average correlation

Value

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

Examples

meta.ave.fisher(0.05, 0.376, .054)

# Should return:
# Estimate        LL        UL
#    0.376 0.2656039 0.4766632

dgbonett/vcmeta documentation built on July 12, 2024, 3:12 p.m.