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(425.25,417.75,410.25,395.25,546.75,539.25,425.25,349.50,357.00,357.00,364.50,380.25,334.50,288.75,251.25,251.25,395.25,410.25,296.25,167.25,235.50,235.50,288.75,319.50,312.00,235.50,273.75,258.75,387.75,357.00,235.50,144.75,228.00,251.25,273.75,303.75,243.00,190.50,213.00,220.50,417.75,417.75,303.75,288.75,334.50,312.00,372.75,448.50,463.50,357.00,327.00,296.25,501.75,516.75,478.50,516.75,509.25,448.50,516.75,592.50,623.25,531.75,471.00,516.75,714.00,774.75,759.75,789.75,782.25,706.50,835.50,866.25,911.25,774.75,721.50,782.25,927.00,1056.00,1025.25,1025.25,1040.25,987.75,1124.25,1124.25,1101.00,972.00,995.25,1010.25,1109.25,1238.25,1146.75,1192.50,1154.25,1131.75,1306.50,1268.25,1215.00,1139.25,1215.00,1253.25,1299.00,1359.75,1299.00,1336.50,1290.75,1283.25,1473.00,1488.75,1428.00,1321.50,1412.25,1450.50,1496.25,1564.50,1496.25,1549.50,1526.25,1443.00,1617.75,1617.75)
> par3 = '512'
> par2 = 'no'
> par1 = '0'
> ylab = 'Dichtheid'
> xlab = 'Omzet (in euro)'
> 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_density.wasp/
> #Source of accompanying publication: http://www.xycoon.com/density_trace.htm
> #
> if (par1 == '0') bw <- 'nrd0'
> if (par1 != '0') bw <- as.numeric(par1)
> par3 <- as.numeric(par3)
> mydensity <- array(NA, dim=c(par3,8))
> postscript(file="/var/wessaorg/rcomp/tmp/1fway1470999941.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> mydensity1<-density(x,bw=bw,kernel='gaussian',na.rm=TRUE)
> mydensity[,8] = signif(mydensity1$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' = 153.8

       x                y            
 Min.   :-316.8   Min.   :7.321e-07  
 1st Qu.: 282.2   1st Qu.:9.615e-05  
 Median : 881.2   Median :4.395e-04  
 Mean   : 881.2   Mean   :4.169e-04  
 3rd Qu.:1480.3   3rd Qu.:5.558e-04  
 Max.   :2079.3   Max.   :1.116e-03  
> postscript(file="/var/wessaorg/rcomp/tmp/2yfnx1470999941.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$y,3)
> plot(mydensity2,main='Epanechnikov Kernel',xlab=xlab,ylab=ylab)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/3fqha1470999941.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> mydensity3<-density(x,bw=bw,kernel='rectangular',na.rm=TRUE)
> mydensity[,3] = signif(mydensity3$y,3)
> plot(mydensity3,main='Rectangular Kernel',xlab=xlab,ylab=ylab)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/44k9c1470999941.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$y,3)
> plot(mydensity4,main='Triangular Kernel',xlab=xlab,ylab=ylab)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/5wi7r1470999941.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> mydensity5<-density(x,bw=bw,kernel='biweight',na.rm=TRUE)
> mydensity[,5] = signif(mydensity5$y,3)
> plot(mydensity5,main='Biweight Kernel',xlab=xlab,ylab=ylab)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/6ab191470999941.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$y,3)
> plot(mydensity6,main='Cosine Kernel',xlab=xlab,ylab=ylab)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/79atq1470999941.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> mydensity7<-density(x,bw=bw,kernel='optcosine',na.rm=TRUE)
> mydensity[,7] = signif(mydensity7$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/8nsls1470999942.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/9o3791470999942.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/10zztq1470999942.tab") 
> 
> try(system("convert tmp/1fway1470999941.ps tmp/1fway1470999941.png",intern=TRUE))
character(0)
> try(system("convert tmp/2yfnx1470999941.ps tmp/2yfnx1470999941.png",intern=TRUE))
character(0)
> try(system("convert tmp/3fqha1470999941.ps tmp/3fqha1470999941.png",intern=TRUE))
character(0)
> try(system("convert tmp/44k9c1470999941.ps tmp/44k9c1470999941.png",intern=TRUE))
character(0)
> try(system("convert tmp/5wi7r1470999941.ps tmp/5wi7r1470999941.png",intern=TRUE))
character(0)
> try(system("convert tmp/6ab191470999941.ps tmp/6ab191470999941.png",intern=TRUE))
character(0)
> try(system("convert tmp/79atq1470999941.ps tmp/79atq1470999941.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  2.785   0.239   3.086