Description Usage Arguments Details Author(s) References See Also Examples

Plotting function for MNS objects. This function implements plotting for either population networks, high variable networks or subject-specific networks.

1 2 |

`x` |
MNS object |

`view` |
Plotting view. This argument defines which networks are plotted. Three options are "pop": plot population network, "var": plot network of variable edges, "sub": plot subject-specific networks |

`subID` |
If view="sub", subID indicates which subjects networks should be plotted. |

`...` |
Additional arguments to pass to plot function |

Plotting function for MNS objects. Can be used to plot simulated networks or results obtained from running
MNS algorithm.
Note that if networks are simulated using the `"Danaher"`

method then only subject-specific networks can be plotted (i.e., we require `view="sub"`

)

Ricardo Pio monti

Monti, R., Anagnostopolus, C., Montana, G. "Inferring brain connectivity networks from functional MRI data via mixed neighbourhood selection", arXiv, 2015

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 | ```
set.seed(1)
N=4
Net = gen.Network(method = "cohort", p = 10,
Nsub = N, sparsity = .2,
REsize = 20, REprob = .5,
REnoise = 1, Nobs = 10)
## Not run:
# can plot simulated networks:
plot.MNS(Net, view="pop")
# can also plot results from MNS algorithm:
mns = MNS(dat = Net$Data, lambda_pop = .1, lambda_random = .1, parallel = TRUE)
plot.MNS(mns) # plot population network
plot.MNS(mns, view="var") # plot variance network
plot.MNS(mns, view="sub") # plot subject networks (note red edges here are variable edges!)
## End(Not run)
``` |

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