randomWalkByIterations {netSmooth} | R Documentation

## Smooth data on graph by computing iterations

### Description

Smooth data on graph by computing iterations

### Usage

    randomWalkByIterations(f0, adjMatrix, alpha,
      normalizeAjdMatrix = c("rows", "columns"), tol = 1e-06,
      max.iter = 100)

### Arguments

`f0` | initial data matrix [NxM]
`adjMatrix` | adjacency matrix of graph to network smooth on will be column-normalized.
`alpha` | smoothing coefficient (1 - restart probability of random walk)
`tol` | the tolerance (stopping criterion)
`max.iter` | the maximum number of iterations before terminating

### Value

network-smoothed gene expression

[Package netSmooth version 1.6.0 Index]