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10700 12400 12000 12800 11800 11900 11900 12300 11700 11900 11900 14000 11300 12600 12600 12600 11300 12200 11800 12800 11400 11600 11700 14100 11000 12800 13300 12600 10700 12600 12700 14100 11600 11300 11600 13000 10800 13800 12600 12500 9900 11800 12400 15000 11500 11100 10800 12700 10500 14900 12800 12300 9600 11000 12700 15300 12900 11200 11000 13100 10200 15100 12600 11600 9700 10200 12100 15300 13500 10700 11400 12500 9300 15100 12300 11800 9600 9600 12400 16400 13500 11000 11200 12900 8900 15600 12500 11700 9000 8600 13100 16100 14400 11300 12200 14000 9300 14900 12500 11600 9100 8800 13000 15500 14600 11200 12700 14100
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Display values
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yes
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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') }
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Raw Output
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Computing time
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R Server
Big Analytics Cloud Computing Center
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