modeMean-methods {DelayedTensor} | R Documentation

## Tensor Mean Across Single Mode of DelayedArray

### Description

Given a mode for a K-tensor, this returns the K-1 tensor resulting from taking the mean across that particular mode.

### Usage

    modeMean(darr, m = NULL, drop = FALSE)

    ## S4 method for signature 'DelayedArray'
    modeMean(darr, m, drop)

### Arguments

`darr` | DelayedArray object
`m` | the index of the mode to average across
`drop` | whether or not mode m should be dropped

### Details

This function is an extension of the `modeMean` by DelayedArray.

NOTE: Sparse mode of modeMean is not available for now.

`modeMean(darr, m=NULL, drop=FALSE)`

### Value

K-1 or K Tensor, where `K = length(dim(darr))`

### See Also

`modeSum`

### Examples

    library("DelayedRandomArray")
    darr <- RandomUnifArray(c(1,2,3))
    modeMean(darr, 1, drop=FALSE)
    modeMean(darr, 1, drop=TRUE)
    modeMean(darr, 2)
    modeMean(darr, 3)

[Package DelayedTensor version 1.0.0 Index]