Combine \(p\)-values by the vote counting method
votep(p, alpha = c(0.5, 0.5))
# S3 method for votep
print(x, ...)A vector of \(p\)-values
A vector of length 2 defining the significance values
An object of class ‘votep’
Other arguments to be passed through
An object of class ‘votep’
and ‘votep’, a list with entries
\(p\) value
Number of positives
Number of negatives
A vector of length 2 defining the significance values and lying in the range 0 to 1
The input vector with illegal values removed
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 \(0\le{}p\le{}1\) 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
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 schweder
# NOT RUN {
data(beckerp)
votep(beckerp)
# }
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