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Data:
71.97 72.32 74.07 77.95 81.75 80.81 74.1 71.37 75.21 76.9 74.44 74.76 76.23 76.97 78.4 78.6 80.08 81.12 80.31 84.59 81.34 80.95 80.48 75.26 76.32 78.92 80.47 83.14 85.42 81.53 87.31 86.01 85.1 79.91 78.6 78.6 79.37 82.89 84.43 85.32 87.71 84.68 80.62 84.79 85.49 81.68 77.69 78.31 79.18 80.91 83.91 86.3 89.76 85.11 83.81 85.36 85.89 82.59 80.87 80.27 81.36 84.81 90.3 95.43 97.59 97.8 99.48 97.52 104.39 97.74 91.37 92.42 96.9 101.58 105.46 110.06 107.9 102.87 96.28 98.59 103.22 98.6 91.79 93.83 95.17 95.19 99.44 109.18 109.15 109.72 108.41 102.96 107.64 97.28 97.25 91.84 94.12 97.86 98.83 102.29 104.49 102.11 102.14 101.28 101.21 94.2 88.47 88.08 88.02 92.95 97.05 101.44 100.34 99.98 94.17 94.54 95.12 98.04 93.72 93.83 93.03 95.81 99.1 100.12 100.67 103.87 102.39 107.21 105.71 99.79 96.12 96.17 97.23 98.08 99.84 99.72 99.92 102.7 102.06 102.36 102.43 100.6 98.4 98.61 103.03 104.7 107.45 109.67 110.54 112.05 113.19 114.2 112.56 107.36 103.93 103.83 104.74 107.5 109.53 109.42 108.6 110.72 105.1 105.19 102.55 101.25 101.56 101.62 101.7 102.94 104.37 106.93 107.82 110.83 106.86 109.46 108.8 108.69 107.77 108.64 108.5 113.84 114.59 116.27 113.63 112.29 110.31 108.47 110.67 109.1 107.02 108.12 106.69 109.87 110.82 114.14 113.31 115.16 111.06 111.13 115.96 117.57 114.69 119.42 118.4 123.32 123.39 127.04 129.35 127.12 122.1 120.22 121.53 119.01 114.27 114.46
Sample Range:
(leave blank to include all observations)
From:
To:
Smoothing Bandwidth (leave zero for default)
Display values
(?)
no
no
yes
Number of density points
(?)
Chart options
Label y-axis:
Label x-axis:
R Code
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') }
Compute
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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