R: Smooth Signal on Graph

smoothSignalOnGraph {sccore} | R Documentation

## Smooth Signal on Graph

### Description

Smooth Signal on Graph

### Usage

    smoothSignalOnGraph(
      signal,
      filter,
      graph = NULL,
      lap = NULL,
      l.max = NULL,
      m = 50,
      ...
    )

### Arguments

`signal` | signal to be smoothed
`filter` | function that accepts signal 'x' and the maximal Laplacian eigenvalue 'l.max'. See `heatFilter` as an example.
`graph` | igraph object with the graph (default=NULL)
`lap` | graph laplacian (default=NULL). If NULL, 'lap' estimated from graph.
`l.max` | maximal eigenvalue of 'lap' (default=NULL). If NULL, estimated from 'lap'.
`m` | numeric Maximum order of Chebyshev coeff to compute (default=50)
`...` | Arguments passed on to `smoothChebyshev` `n.cores` numeric Number of cores for parallel run (default=1) `progress.chunks` numeric Number of chunks per core for estimating progress (default=5). Large values are not suggested, as it may bring overhead. `progress` boolean Flag on whether progress must be shown (default=TRUE, i.e. 'progress.chunks > 1')

### See Also

Other graph smoothing: `computeChebyshevCoeffs()`, `heatFilter()`, `smoothChebyshev()`

[Package sccore version 1.0.1 Index]