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Data:
5947968.00 5925816.00 5903352.00 5856864.00 6316752.00 6292416.00 5947968.00 5718960.00 5741112.00 5741112.00 5765760.00 5810064.00 5879016.00 5879016.00 5834712.00 5718960.00 6316752.00 6407856.00 6270264.00 5947968.00 6085872.00 5879016.00 5972304.00 6016920.00 6063408.00 5947968.00 5972304.00 5810064.00 6316752.00 6476808.00 6339216.00 6085872.00 6361368.00 6063408.00 6339216.00 6316752.00 6385704.00 6132360.00 6407856.00 6385704.00 6799104.00 6705816.00 6339216.00 6154512.00 6407856.00 6063408.00 6316752.00 6361368.00 6454656.00 6248112.00 6361368.00 6430320.00 6683664.00 6476808.00 6201312.00 5903352.00 6179160.00 5421000.00 5787912.00 5994456.00 6201312.00 5903352.00 5903352.00 5903352.00 6063408.00 5834712.00 5534568.00 5283408.00 5465616.00 4754256.00 5190120.00 5443464.00 5489952.00 5236608.00 5258760.00 5190120.00 5421000.00 5258760.00 4938960.00 4707768.00 5098704.00 4249752.00 4801056.00 5052216.00 5052216.00 4754256.00 4478760.00 4456608.00 4707768.00 4478760.00 4043208.00 3743064.00 4065360.00 3307512.00 3996408.00 4363008.00 4478760.00 4225416.00 3905304.00 4134312.00 4225416.00 4156464.00 3467256.00 3147456.00 3376152.00 2687256.00 3398616.00 3651960.00 3858504.00 3514056.00 3191760.00 3376152.00 3467256.00 3285048.00 2596152.00 2296008.00 2571504.00 1813656.00 2640456.00 3147456.00
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Smoothing Bandwidth (leave zero for default)
Display values
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grey
no
yes
Number of density points
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Chart options
Label y-axis:
Label x-axis:
R Code
par3 <- '512' par2 <- 'no' par1 <- '0' if (par1 == '0') bw <- 'nrd0' if (par1 != '0') bw <- as.numeric(par1) par3 <- as.numeric(par3) mydensity <- array(NA, dim=c(par3,8)) bitmap(file='density1.png') 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() mydensity1 bitmap(file='density2.png') mydensity2<-density(x,bw=bw,kernel='epanechnikov',na.rm=TRUE) mydensity[,2] = signif(mydensity2$y,3) plot(mydensity2,main='Epanechnikov Kernel',xlab=xlab,ylab=ylab) grid() dev.off() bitmap(file='density3.png') mydensity3<-density(x,bw=bw,kernel='rectangular',na.rm=TRUE) mydensity[,3] = signif(mydensity3$y,3) plot(mydensity3,main='Rectangular Kernel',xlab=xlab,ylab=ylab) grid() dev.off() bitmap(file='density4.png') mydensity4<-density(x,bw=bw,kernel='triangular',na.rm=TRUE) mydensity[,4] = signif(mydensity4$y,3) plot(mydensity4,main='Triangular Kernel',xlab=xlab,ylab=ylab) grid() dev.off() bitmap(file='density5.png') mydensity5<-density(x,bw=bw,kernel='biweight',na.rm=TRUE) mydensity[,5] = signif(mydensity5$y,3) plot(mydensity5,main='Biweight Kernel',xlab=xlab,ylab=ylab) grid() dev.off() bitmap(file='density6.png') mydensity6<-density(x,bw=bw,kernel='cosine',na.rm=TRUE) mydensity[,6] = signif(mydensity6$y,3) plot(mydensity6,main='Cosine Kernel',xlab=xlab,ylab=ylab) grid() dev.off() bitmap(file='density7.png') mydensity7<-density(x,bw=bw,kernel='optcosine',na.rm=TRUE) mydensity[,7] = signif(mydensity7$y,3) plot(mydensity7,main='Optcosine Kernel',xlab=xlab,ylab=ylab) grid() dev.off() load(file='createtable') a<-table.start() a<-table.row.start(a) a<-table.element(a,'Properties of Density Trace',2,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Bandwidth',header=TRUE) a<-table.element(a,mydensity1$bw) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'#Observations',header=TRUE) a<-table.element(a,mydensity1$n) a<-table.row.end(a) a<-table.end(a) table.save(a,file='mytable.tab') a<-table.start() a<-table.row.start(a) a<-table.element(a,'Maximum Density Values',3,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Kernel',1,TRUE) a<-table.element(a,'x-value',1,TRUE) a<-table.element(a,'max. density',1,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Gaussian',1,TRUE) a<-table.element(a,mydensity1$x[mydensity1$y==max(mydensity1$y)],1) a<-table.element(a,mydensity1$y[mydensity1$y==max(mydensity1$y)],1) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Epanechnikov',1,TRUE) a<-table.element(a,mydensity2$x[mydensity2$y==max(mydensity2$y)],1) a<-table.element(a,mydensity2$y[mydensity2$y==max(mydensity2$y)],1) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Rectangular',1,TRUE) a<-table.element(a,mydensity3$x[mydensity3$y==max(mydensity3$y)],1) a<-table.element(a,mydensity3$y[mydensity3$y==max(mydensity3$y)],1) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Triangular',1,TRUE) a<-table.element(a,mydensity4$x[mydensity4$y==max(mydensity4$y)],1) a<-table.element(a,mydensity4$y[mydensity4$y==max(mydensity4$y)],1) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Biweight',1,TRUE) a<-table.element(a,mydensity5$x[mydensity5$y==max(mydensity5$y)],1) a<-table.element(a,mydensity5$y[mydensity5$y==max(mydensity5$y)],1) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Cosine',1,TRUE) a<-table.element(a,mydensity6$x[mydensity6$y==max(mydensity6$y)],1) a<-table.element(a,mydensity6$y[mydensity6$y==max(mydensity6$y)],1) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Optcosine',1,TRUE) a<-table.element(a,mydensity7$x[mydensity7$y==max(mydensity7$y)],1) a<-table.element(a,mydensity7$y[mydensity7$y==max(mydensity7$y)],1) a<-table.row.end(a) a<-table.end(a) table.save(a,file='mytable2.tab') if (par2=='yes') { 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) 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) } a<-table.end(a) table.save(a,file='mytable1.tab') }
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Summary of computational transaction
Raw Input
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Raw Output
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Computing time
1 seconds
R Server
Big Analytics Cloud Computing Center
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