fisher.sum {metaseqR} | R Documentation

## A function to calculate Fisher's sum for a set of p-values

### Description

This method combines a set of p-values using Fisher's method:

S = -2 ∑ \log p

### Usage

    fisher.sum(p, zero.sub=0.00001, na.rm=FALSE)

### Arguments

`p` | A vector of p-values
`zero.sub` | Replacement for 0 values.
`na.rm` | Should NA values be removed before calculating the sum

### Details

As `log(0)` results in `Inf` we replace p-values of 0 by default with a small float. If you want to keep them as 0 you have to provide 0 as a parameter in `zero.sub`.

Note that only p-values between 0 and 1 are allowed to be passed to this method.

### Value

Fisher's sum as described above.

### Note

This function was copied from the CRAN package MADAM which is no longer maintained. Recognition goes to the original author(s) below.

### Author(s)

Karl Kugler <karl@eigenlab.net>

### References

Fisher, R.A. (1925). Statistical Methods for Research Workers. Oliver and Boyd (Edinburgh).

### See Also

`fisher.method`

### Examples

    fisher.sum(c(0.2,0.05,0.05))
    fisher.sum(c(0.2,0.05,0.05, NA), na.rm=TRUE)

[Package metaseqR version 1.26.0 Index]