scaleFreePlot: Visual check of scale-free topology
In nosarcasm/WGCNA: Weighted Correlation Network Analysis

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

A simple visula check of scale-free network ropology.

scaleFreePlot(
  connectivity, 
  nBreaks = 10, 
  truncated = FALSE,  
  removeFirst = FALSE, 
  main = "", ...)

`connectivity`	vector containing network connectivities.
`nBreaks`	number of breaks in the connectivity dendrogram.
`truncated`	logical: should a truncated exponential fit be calculated and plotted in addition to the linear one?
`removeFirst`	logical: should the first bin be removed from the fit?
`main`	main title for the plot.
`...`	other graphical parameter to the `plot` function.

The function plots a log-log plot of a histogram of the given connectivities, and fits a linear model plus optionally a truncated exponential model. The R^2 of the fit can be considered an index of the scale freedom of the network topology.

None.

Steve Horvath

Bin Zhang and Steve Horvath (2005) "A General Framework for Weighted Gene Co-Expression Network Analysis", Statistical Applications in Genetics and Molecular Biology: Vol. 4: No. 1, Article 17

softConnectivity for connectivity calculation in weigheted networks.

nosarcasm/WGCNA documentation built on May 28, 2019, 1:01 p.m.