Send output to:
Browser Blue - Charts White
Browser Black/White
CSV
Data:
78.7 75.7 77.1 86.1 86.8 86.3 91.5 90.7 78.2 73 73.7 77.3 67.5 72.7 76.6 82.4 82.3 86.3 93 88.8 96.9 103.9 115.7 112.8 114.7 118 129.3 137 156 166.2 167.8 144.3 126 90.4 67.5 52.4 54.6 52.9 59.1 63.3 73.8 87.6 81.8 90.7 86.3 93.6 98 94.3 97.6 94.2 100.2 106.7 95.7 94.6 94.7 96.2 96.3 103.3 106.8 113.7 117.4 123.6 137.6 147.4 137.2 133.8 136.7 127.3 128.7 127 133.7 132 135.1 142.6 149.3 143.5 131.4 114.7 122.3 133.4 134.6 130.9 127.9 128
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') 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') }
Compute
Summary of computational transaction
Raw Input
view raw input (R code)
Raw Output
view raw output of R engine
Computing time
0 seconds
R Server
Big Analytics Cloud Computing Center
Click here to blog (archive) this computation