The following code is giving me problems. I want to export densities of a distribution to a csv file. At the bottom of the code I use the hist function to generate the densities. But hist is returning values greater than 1. I don't understand, why. Any help you can supply is greatly appreciated.

# Set word path
dir<-"~/Research/MR Distribution Analysis/"
setwd(dir)
getwd()

# Define Objects
Max.Shots=3
Max.Groups=5000
hist.brks <- pretty(range(c(0,4)), 200)

for(sim in (2:Max.Shots)){
  x.Data<-matrix(nrow=Max.Groups,ncol=sim,byrow=TRUE)
  y.Data<-matrix(nrow=Max.Groups,ncol=sim,byrow=TRUE)
  shot2mean.x<-matrix(nrow=Max.Groups,ncol=sim,byrow=TRUE)
  shot2mean.y<-matrix(nrow=Max.Groups,ncol=sim,byrow=TRUE)
  Euclid.Dist<-matrix(nrow=Max.Groups,ncol=sim,byrow=TRUE)
  mean.radius<-vector(mode="numeric",length=Max.Groups)
  # Generate the Simulation Data
  ###################################################################
  # Number of Groups
  for(Groups in (1:Max.Groups)) {
    # Number of Shots per Group
    for(Shots in (1:sim)) {
      # Populate the Simulation Data
      x.Data[Groups,Shots]<-rnorm(n=1,mean=0,sd=1)
      y.Data[Groups,Shots]<-rnorm(n=1,mean=0,sd=1)
    }
  }
  # Calculate the Component Distances from the Shots to the Group Mean
  # Calculate the Euclidean Distance from the Shots to the Group Mean
  # Calculate the Group Mean Radius
  ###################################################################
  # Number of Groups
  for(Groups in (1:Max.Groups)){
    # Number of Shots per Group
    for(Shots in (1:sim)){
shot2mean.x[Groups,Shots]<-(x.Data[Groups,Shots]- mean(x.Data[Groups,]))^2 shot2mean.y[Groups,Shots]<-(y.Data[Groups,Shots]- mean(y.Data[Groups,]))^2 Euclid.Dist[Groups,Shots]<-sqrt(shot2mean.x[Groups,Shots] +shot2mean.y[Groups,Shots])
    }
    mean.radius[Groups]<-mean(Euclid.Dist[Groups,])
  }

  f<-hist(mean.radius,breaks=hist.brks,plot=FALSE)
  density.data<-cbind(sim,f$mids,f$density)
  colnames(density.data)<-c("Simulation","MidPoint","Density")
if (sim==2) {Simulation.Data<-density.data} else {Simulation.Data<- rbind(Simulation.Data,density.data)}

  rm(x.Data)
  rm(y.Data)
  rm(shot2mean.x)
  rm(shot2mean.y)
  rm(Euclid.Dist)
  rm(mean.radius)

}

write.table(
  Simulation.Data,
  file=paste(dir,"/DATA/Simulation_Data.csv",sep=''),
  sep=",",
  quote=FALSE,
  row.names=FALSE,
  qmethod="double")



Steven Matthew Anderson

Anderson Research, LLC
Statistical Programming and Analysis
SAS (R) Certified Professional
adastr...@mac.com

Ad Astra per Aspera

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