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.