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Data:
37.43 38.39 38.99 39.83 41.21 41.72 42.12 43.18 43.43 43.77 44.19 44.38 44.57 45.13 45.84 46.11 46.35 46.41 46.78 47.09 47.34 47.64 48.17 48.24 48.59 49.29 50.44 52.42 52.9 53.19 53.19 53.38 54.17 54.69 55.39 55.64 55.64 56.57 57.16 57.87 58.89 59.28 59.94 60.35 60.59 61.2 61.62 62.07 62.38 62.62 64.15 64.97 66.12 67.08 68.66 69.04 70.8 73.2 74.19 75.36 75.54 76.81 77.69 79.34 80.36 80.74 81.12 82.95 87.31 88.93 90.8 91.29 91.36 92.72 95.75 97.19 98.73 99.03 99.4 99.66 100.5 101.21 101.26 101.44 101.97 102.23 102.58 101.91 101.63 101.1 100.71 100.75 100.14 97.72 94.91 94.34 97.11 96.51 95.8 95.25 95.09 94.97 95.21 95.46 95.33 95.14 95.6 95.66 95.66 96.33 97.66 98.27 99.53 100.86 101.26 101.29 101.38 101.49 101.29 101.26
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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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