metap (version 0.8)

meanp: Combine p values by the mean p method

Description

Combine \(p\) values by the mean p method

Usage

meanp(p)
# S3 method for meanp
print(x, ...)

Arguments

p

A vector of \(p\)-values

x

An object of class ‘meanp’

...

Other arguments to be passed through

Value

An object of class ‘meanp’ and ‘metap’, a list with entries

z

Value of \(z\)

p

Associated \(p\)-value

validp

The input vector with illegal values removed

Details

Defined as $$z = (0.5 - \bar{p}) \sqrt{12k}$$ which is a standard normal

The values of \(p\) should be such that \(0\le{}p\le{}1\). A warning is issued if this means that studies are omitted and an error results if, possibly after deletion of illegal values, fewer than four studies remain.

The plot method for class ‘metap’ calls schweder on the valid \(p\)-values

References

Becker, B J. Combining significance levels. In Cooper, H and Hedges, L V, editors A handbook of research synthesis, chapter 15, pages 215--230. Russell Sage, New York, 1994.

Rosenthal, R. Combining the results of independent studies. Psychological Bulletin, 85:185--193, 1978.

See Also

See also schweder

Examples

# NOT RUN {
data(rosenthal)
meanp(rosenthal$p) # 2.17, p = 0.015 one tailed
# }