nDegreeDensities: Density functions of the degrees of n graphs

In BioNetStat: Biological Network Analysis

Description

'nDegreeDensities' estimates the density functions of the degrees for n graphs at the same coordinates

Usage

nDegreeDensities(
  Gs,
  npoints = 1024,
  bandwidth = "Sturges",
  from = NULL,
  to = NULL
)

Arguments

Gs	a list of n igraph graphs objects
npoints	number of points used in density function estimation
bandwidth	a parameters. It can be set to either "Sturges" or "Silverman".
from	the lower value used to build the distribution
to	the higher value used to build the distribution

Value

a list containing the components 'x' and 'densities'. The first element is the vector 'x' of 'npoints' coordinates of the points where the density function i estimated, and the second is a vector 'y' of the estimated density values.

See Also

graph.strength

density

Examples

G<-list()                                   
G[[1]]<-erdos.renyi.game(30,0.6)
G[[2]]<-barabasi.game(30,power = 1)
G[[3]]<-watts.strogatz.game(2,30,2,0.3)
d<-nDegreeDensities(G, npoints=1024, bandwidth="Sturges")
par(mfrow=c(1,3))
plot(d$x,d$densities[,1],main="Erdos-Renyi\n Degree distribution",
xlab="Degree",ylab="Frequency")
plot(d$x,d$densities[,2],main="Barabasi\n Degree distribution",
xlab="Degree",ylab="Frequency")
plot(d$x,d$densities[,3],main="Watts-Strogatz\n Degree distribution",
xlab="Degree",ylab="Frequency")

BioNetStat documentation built on Feb. 3, 2021, 2:01 a.m.