| votep {metap} | R Documentation |
Combine p-values by the vote counting method
votep(p, alpha = c(0.5, 0.5)) ## S3 method for class 'votep' print(x, ...)
p |
A vector of p-values |
alpha |
A vector of length 2 defining the significance values |
x |
An object of class ‘ |
... |
Other arguments to be passed through |
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
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 |
Michael Dewey
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
data(beckerp) votep(beckerp)