Combine p-values by the vote counting method
votep(p, alpha = 0.5)
# S3 method for votep
print(x, ...)A vector of significance values
A value defining the significance value limits, see Details
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
The cut--off significance value 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 specifying a neutral zone. In that case values between alpha and 1 - alpha will be assumed to be neutral and only those outside the zone counted as positive or negative. If the value of alpha is greater than unity it is assumed to be a percentage.
The values of p_i should be such that 0 < p_i < 1 and a warning is given if that is not true. A warning is given if, possibly as a result of removing illegal values, fewer than two values remain and the return values are set to NA.
The plot method for class ‘metap’ calls plotp on the valid \(p\)-values.
becker94metap
See also plotp
# NOT RUN {
data(beckerp)
votep(beckerp)
# }
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