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Last data update: 2014.03.03

R: Olkin-Pratt (OP) meta-analytical approach with correlation...

metacor.OP

R Documentation

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

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

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

`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

`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

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

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