# 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

 ```1 2 3 4 5 6 7``` ```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.

`graph.strength`
`density`
 ``` 1 2 3 4 5 6 7 8 9 10 11 12``` ```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") ```