R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

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> x <- c(2421.21,2378.63,2336.00,2250.79,3113.00,3070.38,2421.21,1990.13,2032.71,2032.71,2075.33,2165.17,1904.92,1644.25,1430.79,1430.79,2250.79,2336.00,1686.83,952.46,1340.96,1340.96,1644.25,1819.29,1776.67,1340.96,1559.04,1473.42,2207.79,2032.71,1340.96,824.25,1298.33,1430.79,1559.04,1729.46,1383.54,1084.92,1213.17,1255.75,2378.63,2378.63,1729.46,1644.25,1904.92,1776.67,2122.58,2553.67,2639.29,2032.71,1861.88,1686.83,2856.96,2942.58,2724.50,2942.58,2899.54,2553.67,2942.58,3373.67,3548.71,3027.79,2681.88,2942.58,4065.42,4411.33,4326.13,4496.50,4453.92,4022.83,4757.21,4932.25,5188.29,4411.33,4108.04,4453.92,5278.13,6012.50,5837.46,5837.46,5923.08,5624.00,6401.42,6401.42,6268.96,5534.17,5666.63,5752.25,6315.79,7050.17,6529.21,6789.92,6571.83,6444.00,7439.08,7221.00,6917.71,6486.63,6917.71,7135.79,7396.04,7741.92,7396.04,7609.50,7349.21,7306.63,8386.88,8476.71,8130.83,7524.29,8041.00,8258.67,8519.33,8907.83,8519.33,8822.63,8690.17,8216.04,9211.08,9211.08)
> par3 = '512'
> par2 = 'no'
> par1 = '0'
> ylab = 'Density'
> xlab = 'Value'
> par3 <- '512'
> par2 <- 'no'
> par1 <- '0'
> #'GNU S' R Code compiled by R2WASP v. 1.2.327 (Sat, 26 Sep 2015 10:34:04 +0100)
> #Author: root
> #To cite this work: Wessa, P. (2015), Kernel Density Estimation (v1.0.12) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_density.wasp/
> #Source of accompanying publication: http://www.xycoon.com/density_trace.htm
> #
> if (par1 == '0') bw <- 'nrd0'
> if (par1 != '0') bw <- as.numeric(par1)
> par3 <- as.numeric(par3)
> mydensity <- array(NA, dim=c(par3,8))
> postscript(file="/var/wessaorg/rcomp/tmp/1i99w1470839758.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> mydensity1<-density(x,bw=bw,kernel='gaussian',na.rm=TRUE)
> mydensity[,8] = signif(mydensity1$x,3)
> mydensity[,1] = signif(mydensity1$y,3)
> plot(mydensity1,main='Gaussian Kernel',xlab=xlab,ylab=ylab)
> grid()
> dev.off()
null device 
          1 
> mydensity1

Call:
	density.default(x = x, bw = bw, kernel = "gaussian", na.rm = TRUE)

Data: x (120 obs.);	Bandwidth 'bw' = 875.9

       x               y            
 Min.   :-1804   Min.   :1.286e-07  
 1st Qu.: 1607   1st Qu.:1.688e-05  
 Median : 5018   Median :7.720e-05  
 Mean   : 5018   Mean   :7.322e-05  
 3rd Qu.: 8428   3rd Qu.:9.761e-05  
 Max.   :11839   Max.   :1.960e-04  
> postscript(file="/var/wessaorg/rcomp/tmp/2q0re1470839758.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> mydensity2<-density(x,bw=bw,kernel='epanechnikov',na.rm=TRUE)
> mydensity[,2] = signif(mydensity2$y,3)
> plot(mydensity2,main='Epanechnikov Kernel',xlab=xlab,ylab=ylab)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/3haj51470839758.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> mydensity3<-density(x,bw=bw,kernel='rectangular',na.rm=TRUE)
> mydensity[,3] = signif(mydensity3$y,3)
> plot(mydensity3,main='Rectangular Kernel',xlab=xlab,ylab=ylab)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/4neln1470839758.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> mydensity4<-density(x,bw=bw,kernel='triangular',na.rm=TRUE)
> mydensity[,4] = signif(mydensity4$y,3)
> plot(mydensity4,main='Triangular Kernel',xlab=xlab,ylab=ylab)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/5do7c1470839758.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> mydensity5<-density(x,bw=bw,kernel='biweight',na.rm=TRUE)
> mydensity[,5] = signif(mydensity5$y,3)
> plot(mydensity5,main='Biweight Kernel',xlab=xlab,ylab=ylab)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/6r0k01470839758.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> mydensity6<-density(x,bw=bw,kernel='cosine',na.rm=TRUE)
> mydensity[,6] = signif(mydensity6$y,3)
> plot(mydensity6,main='Cosine Kernel',xlab=xlab,ylab=ylab)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/7ti101470839758.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> mydensity7<-density(x,bw=bw,kernel='optcosine',na.rm=TRUE)
> mydensity[,7] = signif(mydensity7$y,3)
> plot(mydensity7,main='Optcosine Kernel',xlab=xlab,ylab=ylab)
> grid()
> dev.off()
null device 
          1 
> 
> #Note: the /var/wessaorg/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/wessaorg/rcomp/createtable")
> 
> ab<-table.start()
> ab<-table.row.start(ab)
> ab<-table.element(ab,'Properties of Density Trace',2,TRUE)
> ab<-table.row.end(ab)
> ab<-table.row.start(ab)
> ab<-table.element(ab,'Bandwidth',header=TRUE)
> ab<-table.element(ab,mydensity1$bw)
> ab<-table.row.end(ab)
> ab<-table.row.start(ab)
> ab<-table.element(ab,'#Observations',header=TRUE)
> ab<-table.element(ab,mydensity1$n)
> ab<-table.row.end(ab)
> ab<-table.end(ab)
> a <- ab
> table.save(a,file="/var/wessaorg/rcomp/tmp/8o4km1470839758.tab") 
> b<-table.start()
> b<-table.row.start(b)
> b<-table.element(b,'Maximum Density Values',3,TRUE)
> b<-table.row.end(b)
> b<-table.row.start(b)
> b<-table.element(b,'Kernel',1,TRUE)
> b<-table.element(b,'x-value',1,TRUE)
> b<-table.element(b,'max. density',1,TRUE)
> b<-table.row.end(b)
> b<-table.row.start(b)
> b<-table.element(b,'Gaussian',1,TRUE)
> b<-table.element(b,mydensity1$x[mydensity1$y==max(mydensity1$y)],1)
> b<-table.element(b,mydensity1$y[mydensity1$y==max(mydensity1$y)],1)
> b<-table.row.end(b)
> b<-table.row.start(b)
> b<-table.element(b,'Epanechnikov',1,TRUE)
> b<-table.element(b,mydensity2$x[mydensity2$y==max(mydensity2$y)],1)
> b<-table.element(b,mydensity2$y[mydensity2$y==max(mydensity2$y)],1)
> b<-table.row.end(b)
> b<-table.row.start(b)
> b<-table.element(b,'Rectangular',1,TRUE)
> b<-table.element(b,mydensity3$x[mydensity3$y==max(mydensity3$y)],1)
> b<-table.element(b,mydensity3$y[mydensity3$y==max(mydensity3$y)],1)
> b<-table.row.end(b)
> b<-table.row.start(b)
> b<-table.element(b,'Triangular',1,TRUE)
> b<-table.element(b,mydensity4$x[mydensity4$y==max(mydensity4$y)],1)
> b<-table.element(b,mydensity4$y[mydensity4$y==max(mydensity4$y)],1)
> b<-table.row.end(b)
> b<-table.row.start(b)
> b<-table.element(b,'Biweight',1,TRUE)
> b<-table.element(b,mydensity5$x[mydensity5$y==max(mydensity5$y)],1)
> b<-table.element(b,mydensity5$y[mydensity5$y==max(mydensity5$y)],1)
> b<-table.row.end(b)
> b<-table.row.start(b)
> b<-table.element(b,'Cosine',1,TRUE)
> b<-table.element(b,mydensity6$x[mydensity6$y==max(mydensity6$y)],1)
> b<-table.element(b,mydensity6$y[mydensity6$y==max(mydensity6$y)],1)
> b<-table.row.end(b)
> b<-table.row.start(b)
> b<-table.element(b,'Optcosine',1,TRUE)
> b<-table.element(b,mydensity7$x[mydensity7$y==max(mydensity7$y)],1)
> b<-table.element(b,mydensity7$y[mydensity7$y==max(mydensity7$y)],1)
> b<-table.row.end(b)
> b<-table.end(b)
> a <- b[1]
> table.save(a,file="/var/wessaorg/rcomp/tmp/9h3s71470839758.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Kernel Density Values',8,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'x-value',1,TRUE)
> a<-table.element(a,'Gaussian',1,TRUE)
> a<-table.element(a,'Epanechnikov',1,TRUE)
> a<-table.element(a,'Rectangular',1,TRUE)
> a<-table.element(a,'Triangular',1,TRUE)
> a<-table.element(a,'Biweight',1,TRUE)
> a<-table.element(a,'Cosine',1,TRUE)
> a<-table.element(a,'Optcosine',1,TRUE)
> a<-table.row.end(a)
> if (par2=='yes') {
+ for(i in 1:par3) {
+ a<-table.row.start(a)
+ a<-table.element(a,mydensity[i,8],1,TRUE)
+ for(j in 1:7) {
+ a<-table.element(a,mydensity[i,j],1)
+ }
+ a<-table.row.end(a)
+ }
+ } else {
+ a<-table.row.start(a)
+ a<-table.element(a,'Kernel Density Values are not shown',8)
+ a<-table.row.end(a)
+ }
> a<-table.end(a)
> table.save(a,file="/var/wessaorg/rcomp/tmp/108rj81470839758.tab") 
> 
> try(system("convert tmp/1i99w1470839758.ps tmp/1i99w1470839758.png",intern=TRUE))
character(0)
> try(system("convert tmp/2q0re1470839758.ps tmp/2q0re1470839758.png",intern=TRUE))
character(0)
> try(system("convert tmp/3haj51470839758.ps tmp/3haj51470839758.png",intern=TRUE))
character(0)
> try(system("convert tmp/4neln1470839758.ps tmp/4neln1470839758.png",intern=TRUE))
character(0)
> try(system("convert tmp/5do7c1470839758.ps tmp/5do7c1470839758.png",intern=TRUE))
character(0)
> try(system("convert tmp/6r0k01470839758.ps tmp/6r0k01470839758.png",intern=TRUE))
character(0)
> try(system("convert tmp/7ti101470839758.ps tmp/7ti101470839758.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  2.599   0.258   2.902