averageParallelStats {metapod} | R Documentation

## Average parallel statistics

### Description

Average parallel statistics with consideration of weights and protection from missing values.

### Usage

    averageParallelStats(values, weights = NULL)

### Arguments

`values` | A list of numeric vectors of the same length, containing statistics from parallel tests.
`weights` | A numeric vector of positive weights, with one value per vector in `...`. Each weight is applied to all entries of itscorresponding vector, i.e., all p-values in that vector receive the same weight. Alternatively, a list of numeric vectors of weights with the same structure as `p.values`. Each p-value is then assigned the weight in the corresponding entry of `weights`. Alternatively `NULL`, in which case all p-values are assigned equal weight.

### Details

If `weights` is supplied, a weighted average is computed for each parallel set of tests. If `values` contains missing values, they are ignored and will not contribute to the average.

### Value

A numeric vector of (weighted) averages, of length equal to the lengths of the vectors in `values`.

### Author(s)

Aaron Lun

### See Also

`averageParallelStats`, for the parallel counterpart.

### Examples

    averageParallelStats(list(1:10, 2:11))
    averageParallelStats(list(1:10, 2:11), weights=c(2:1))
    averageParallelStats(list(1:10, rep(NA, 10)))

[Package metapod version 1.2.0 Index]