metacor (version 1.0-2.1)

metacor.OP: 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

References

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

See Also

metacor.DSL

Examples

# NOT RUN {
data(lui)
lui <- lui[order(lui$r.FDis),]
test <- metacor.OP(lui$r.FDis, lui$n, lui$label)
test
# }