smoothing {bnbc} | R Documentation

## Smoothing Operations

### Description

These functions apply a smoothing kernel to all contact matrices in a ContactGroup object.

### Usage

    boxSmoother(cg, h, mc.cores)
    gaussSmoother(cg, radius, sigma, mc.cores)

### Arguments

`cg` | A ContactGroup object.
`h` | The desired smoother radius. Only applies to box smoother. This is an integer.
`radius` | The desired smoother width. Only applies to Gaussian smoother. This is an integer.
`sigma` | The desired smoother standard deviation. Only applies to Gaussian smoother. This is a positive number.
`mc.cores` | The number of cores to be used.

### Details

`boxSmoother` applies a square smoothing kernel of radius `h` to all contact matrices in a ContactGroup object. Specifying radius `h` implies that the width of the kernel is 2*h + 1 matrix cells.

`gaussSmoother` applies a square Gaussain smoothing kernel of width `radius` with standard deviation `sigma` to all contact matrices in a ContactGroup object.

### Value

A ContactGroup object is returned that contains the smoothed matrices.

### See Also

ContactGroup

### Examples

    data(cgEx)
    cgEx.smooth <- boxSmoother(cgEx, h=5, mc.cores=1)
    cgEx.smooth <- gaussSmoother(cgEx, radius=3, sigma=0.5, mc.cores=1)

[Package bnbc version 1.16.0 Index]