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11 11 11 11 13 14 14 13 16 14 14 14 13 14 14 12 14 14 14 16 14 14 14 23 11 13 14 11 14 14 11 19 13 7 13 14 11 9 5 14 13 14 23 11 14 14 11 23 13 14 14 14 14 14 14 13 16 18 13 12 10 11 14 14 14 14 9 13 11 11 13 14 14 11 14 14 14 13 20 14 14 16 14 14 11 23 18 9 16 10 14 11 14 14 13 23 20 14 12 14 13 16 9 13 11 14 20 16 14 14 18 9 12 13 9 11 14 14 11 14 10 11 14 14 18 14 18 16 18 14 11 15 14 14 14 16 15 16 14 18 13 11 12 14 14 16 9 14 14 11 11 14 14 14 18 18 14 18 9 23 9 14 14 14 14 11 14 14 14 14 14 14 10 14 11 23 9 10 11 13 12 18 14 14 16 9 13 11 14 14 14 23 14 16 14 14 14 16 14 16 7 14 9 16 18 14 14 18 13 14 9 16 23 14 14 18 14 23 8 7 14 10 13 14 16 14 10 14 11 12 11 14 9 11 14 13 18 14 14 14 18 17 9 11 14 14 16 14 14 14 16 14 11 14 11 14 16 14 14 14 14 14 11 14 11 16 14 14 14 14 14 14 16 14 14 9 9 14 16 14 18 13 12 18 11 16 14 10 14 12 16 14 9 14 11 23 14 14 13 16 13 11 14 20 14 11 13 11 18 14 14 18 14 14 13 16 16 14 14 12 14 14 13 23 14 14 9 11 11 14 12 13 23 23 14 14 18 9 14 14 14 11 14 14 14 14 18 11 16 14 14 16 9 9 23 16 13 23 18 14 20 14 18 14 13 11 18 16 11 9 14 14 14 14 7 14 14 14 14 14 11 14 14 14 14 11 11 18 14 15 18 12 14 17 11 13 14 11 13 14 14 14 14 14 10 11 14 18 14 13 11 14 14 13 14 14 14 16 14 16 14 5 7 11 14 14 14 11 9 14 16 16 13 18 14 18 14 11 14 9 13 13 14 11 14 23 14 14 13 14 16 9 14 14 14 14 14 18 14 14 16 11 14 23 14 14 14 14 11 14 14 14 11 14 14 14 11 14 14 12 14 14 14 14 11 9 14 16 14 9 9 11 14 14 14 14 13 16 11 14 14 16 16 14 9 14 14 14 11 14 14 12 14 11 14 23 14 9 13 14 14 14 14 14 18 14 16 12 14 11 13 11 14 11 14 13 11 9 14 11 14 14 13 14 14 14 14 11 11 14 14 27 9 14 16 11 14 11 14 18 11 14 13 13 14 13 12 8 14 18 14 14 14 14 14 13 14 14 14 16 14 14 14 9 13 9 14 14 11 14 18 14 14 11 18 14 14 13 11 14 16 14 9 14 9 11 14 18 11 21 9 9 14 14 11 14 11 18 13 18 13 14 14 14 16 14 9 14 11 14 18 14 14 7 16 8 14 11 14 14 14 7 9 14 11 14 9 14 14 14 11 18 23 14 14 16 14 14 7 14 11 14 14 12 14 11 11 14 14 14 23 14 11 14 11 14 12 11 15 14 11 14 16 14 18 14 14 13 14 13 14 23 14 7 14 11 23 14 14 16 16 11 10 14 14 14 16 11 7 14 13 14 7 14 18 13 14 11 11 23 14 0 14 14 14 16 14 14 16 14 9 9 9 14 16 14 11 13 16 18 14 16 13 14 14 14 13 14 14 14 14 14 14 14 16 14 14 14 11 23 14 14 14 11 11 16 14 16 14 13 14 16 14 14 16 11 11 13 16 23 14 14 13 14 14 14 9 14 14 9 14 11 9 14 23 9 18 18 14 13 16 11 9 9 9 13 16 14 13 14 14 16 12 14 11 11 14 14 14 11 16 14 16 16 14 13 14 12 14 12 14 14 23 11 14 14 14 18 14 14 11 16 14 14 9 14 18 14 12 14 18 14 14 12 16 16 12 23 14 14 11 14 18 11 14 11 14 7 18 14 11 14 14 14 14 14 11 11 14 9 8 11 14 13 6 12 14 14 14 14 11 14 16 13 14 13 14 14 11 20 13 14 14 11 11 13 14 14 14 13 14 10 16 16 5 14 13 20 14 13 14 7 23 16 11 11 14 14 14 14 14 18 13 11 14 11 14 11 11 14 16 14 11 9 14 14 14 7 14 16 23 16 14 14 11 14 14 7 14 11 14 14 11 13 14 14 18 11 14 14 11 16 13 14 11 14 14 11 14 14 14 11 16 11 13 11 14 14 23 14 14 0 14 14 14 9 11 11 16 11 14 11 23 9 20 11 16 14 18 16 14 14 14 14 10 14 11 14 7
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') 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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0 seconds
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Big Analytics Cloud Computing Center
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