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Data:
84.54 84.91 84.88 85.29 85.61 85.6 85.89 86 85.75 85.58 85.79 85.91 85.95 86.41 86.42 86.81 86.71 86.7 87.07 86.96 87.04 87.5 88.32 88.56 88.92 89.56 90.21 90.42 91.23 91.73 92.21 91.65 91.8 91.63 91.09 90.89 90.98 91.29 90.77 90.96 90.89 90.72 90.66 90.94 90.7 90.74 90.98 91.13 91.54 91.93 92.27 92.59 92.96 92.95 92.99 93.05 93.34 93.47 93.59 93.96 94.49 95.04 95.52 95.75 96.07 96.37 96.48 96.4 96.66 96.81 97.19 97.23 97.94 98.52 98.73 98.8 98.77 98.54 98.72 99.15 99.32 99.5 99.39 99.4 99.37 99.69 99.83 99.79 99.94 100.11 100.21 100.15 100.21 100.13 100.2 100.36 100.5 100.66 100.72 100.41 100.3 100.38 100.55 100.17 100.09 100.22 100.09 99.98
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yes
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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') 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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