getNetworkParameters-methods: Get Network parameters

Description Usage Arguments Details Value Author(s) Examples

Description

Get basic network parameters : Total root mean square Roughness or Total Rrms or totalRMSRoughness_TotalRrms
Mean roughness or Ra or MeanRoughness_Ra

Usage

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Arguments

AFMImageNetworksAnalysis

an AFMImageNetworksAnalysis

AFMImage

an AFMImage

Details

getNetworkParameters returns a data.table of network parameters

Value

a data.table of network parameters:

Author(s)

M.Beauvais

Examples

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## Not run: 
library(AFM)
library(parallel)

data(AFMImageCollagenNetwork)
AFMImage<-AFMImageCollagenNetwork
AFMIA = new("AFMImageNetworksAnalysis")
AFMIA@heightNetworksslider=10
AFMIA@filterNetworkssliderMin=150
AFMIA@filterNetworkssliderMax=300
AFMIA@smallBranchesTreatment=TRUE
clExist<-TRUE
cl <- makeCluster(2,outfile="")
AFMIA<-transformAFMImageForNetworkAnalysis(AFMImageNetworksAnalysis=AFMIA,AFMImage= AFMImage)
AFMIA<-identifyNodesAndEdges(cl=cl,AFMImageNetworksAnalysis= AFMIA,maxHeight= 300)
AFMIA<-identifyEdgesFromCircles(cl=cl,AFMImageNetworksAnalysis= AFMIA, MAX_DISTANCE = 75)
AFMIA<-identifyIsolatedNodes(AFMIA)
AFMIA<-createGraph(AFMIA)
AFMIA<-calculateShortestPaths(cl=cl, AFMImageNetworksAnalysis=AFMIA)
AFMIA<-calculateNetworkParameters(AFMImageNetworksAnalysis=AFMIA, AFMImage=AFMImage)
AFMIA<-calculateHolesCharacteristics(AFMImageNetworksAnalysis=AFMIA)
stopCluster(cl)

## End(Not run)

AFM documentation built on Oct. 23, 2020, 5:23 p.m.