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Data:
71.83 71.39 73.71 74.13 74.45 74.95 75.09 75.23 76.11 76.64 76.97 78.23 77.15 76.33 70.19 68.42 66.49 63.41 62.92 65.53 65.26 68.25 74.39 78.71 82.15 86.05 89.46 89.32 88.94 93.35 94.72 96.11 104.06 104.11 103.9 110.75 110.82 107.59 96.03 95.69 90.63 75.87 75.57 78.78 74.93 75.85 75.49 76.87 78.18 79.37 80.59 81.18 81.02 82.75 83.63 85.35 90.52 90.66 90.69 92.56 92.87 93.82 96.32 96.03 96.53 102.96 102.38 102.66 106.83 106.5 106.78 108.49 108.77 110.43 110.84 110.52 110.11 109.42 109.06 108.98 108.36 108.11 108.44 107.76 106.27 101.07 100.79 100.97 99.33 99.35 99.23 98.14 98.17 98.48 99 99.19 99.1 100.13 100.07 95.26 94.72 94.25 89.46 88.38 88.57 93.82 93.94 93.92
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Display values
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no
yes
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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') 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(ab,file='mytable123.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(b,file='mytable2a.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='mytable1.tab')
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Big Analytics Cloud Computing Center
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