metacor.OP {metacor}R Documentation

Olkin-Pratt (OP) meta-analytical approach with correlation coefficients as effect sizes

Description

Implements the Olkin-Pratt (DSL) fixed-effect meta-analytical approach with correlation coefficients as effect sizes, as described by Schulze (2004).

Usage

metacor.OP(r, n, labels, alpha = 0.05, plot = TRUE, xlim = c(-1, 1))

Arguments

r vector of correlations
n vector of sample sizes
labels vector of the study names
alpha alpha-level for the main test and for the confidence intervals
plot logical; should a forest plot be returned?
xlim range of the x-axis of the forest plot

Value

G vector of the G-values
G.var vector of the variances of each G
G.lower the lower limits of the confidence intervals for G
G.upper the upper limits of the confidence intervals for G
G.mean the mean effect size G
G.se the standard error of G.mean
G.mean.lower the lower limit of the confidence interval for G.mean
G.mean.upper the upper limit of the confidence interval for G.mean
p the p-value for the null hypothesis H0 -> G.mean = 0

Author(s)

Etienne Laliberte etiennelaliberte@gmail.com http://www.elaliberte.info/

References

Schulze, R. (2004) Meta-analysis: a comparison of approaches. Hogrefe & Huber, Gottingen, Germany.

See Also

metacor.DSL

Examples

data(lui)
lui <- lui[order(lui$r.FDis),]
test <- metacor.OP(lui$r.FDis, lui$n, lui$label)
test

[Package metacor version 1.0 Index]