Last data update: 2014.03.03

R: Combine p-values by the vote counting method
votepR Documentation

Combine p-values by the vote counting method

Description

Combine p-values by the vote counting method

Usage

votep(p, alpha = c(0.5, 0.5))
## S3 method for class 'votep'
print(x, ...)

Arguments

p

A vector of p-values

alpha

A vector of length 2 defining the significance values

x

An object of class ‘votep

...

Other arguments to be passed through

Details

By default splits the p-values at 0.5 with those below counting as positive and those above counting as negative. However setting alpha allows for a different choice of cut-off and also by specifying two different values for a neutral zone. If either value of alpha is greater than unity it is assumed to be a percentage.

The values of p should be such that 0<=p<=1 and a warning is issued if this is not true An error occurs if possibly as a result of deletion fewer than two studies remain.

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

Value

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

p

p value

pos

Number of positives

neg

Number of negatives

alpha

A vector of length 2 defining the significance values and lying in the range 0 to 1

validp

The input vector with illegal values removed

Author(s)

Michael Dewey

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.

See Also

See also schweder

Examples

data(beckerp)
votep(beckerp)

Results