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Data:
9969 9692 8943 8802 8250 8515 13973 13905 12467 9490 8483 7610 7839 7107 6584 6053 5725 6480 11663 11628 9203 7781 7020 6908 6912 6668 6189 6007 5148 6685 11044 11034 8986 8146 7818 8176 8935 8929 8835 8455 7924 8973 13575 13844 11738 10467 10145 10833 10179 10107 9533 9165 8382 9018 13911 13761 11316 9855 9034 8932 9278 8876 8298 7733 7226 7688 12226 12081 10439 9008 8377 8346 9167 8945 8428 7973 7446 7785 10561 12791 11583 10112 9597 9332
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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') 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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Summary of computational transaction
Raw Input
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Raw Output
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Computing time
1 seconds
R Server
Big Analytics Cloud Computing Center
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