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Data:
1213.8 1245.6 1306.3 1255.8 1257.6 1287.8 1300.4 1320.9 1370.8 1327.3 1320 1345.3 1346.7 1395.4 1462 1491.6 1461.8 1477.9 1490.3 1521.1 1561.9 1552.6 1523.6 1548.3 1552.4 1587 1621.3 1648.7 1641.8 1650.6 1688.6 1670.7 1682.2 1678.9 1650.6 1662.4 1664.5 1683.2 1736.2 1747.6 1749 1759.7 1793.6 1817.4 1858.4 1839.9 1809.1 1877.7 1880.3 1930.9 2039.3 1992.7 1987.8 1984.4 2016.5 2016.7 2064.1 2031.5 2000.3 2057.8 2041.2 2093.2 2158.3 2128.8 2131.9 2170.3 2190.8 2217.7 2254.4 2223.3 2210.5 2250.8 2249.1 2288.6 2329.2 2313.8 2309.8 2345.9 2361.3 2372 2410.4 2398.5 2362.3 2419.1 2421.6 2465 2480.5 2506.1 2506.6 2525.8 2550 2578.3 2807.8 2815.3 2767.7 2815.4 2838.8 2864 2948.6 2922.8 2917.2 2936.8 2993.4 3007.8 3046.3 3011.5 2958.6 3019.8 2998.5 3040.4 3166 3110 3099.2 3150.3 3163.6 3182.6 3244.4 3223.2 3143.6 3217 3182.3 3217.2 3262.5 3227.9 3171.6 3219 3195.4 3221.6 3262.1 3179.5 3133.6 3219.2 3245 3265.3 3312.5 3383.6 3386.3 3411.1 3467.2 3487.7 3575.5 3571.5 3582.3 3637.1 3685
Sample Range:
(leave blank to include all observations)
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Smoothing Bandwidth (leave zero for default)
Display values
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no
yes
Number of density points
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Chart options
Label y-axis:
Label x-axis:
R Code
if (par1 == '0') bw <- 'nrd0' if (par1 != '0') bw <- as.numeric(par1) bitmap(file='density1.png') mydensity1<-density(x,bw=bw,kernel='gaussian',na.rm=TRUE) 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) 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) 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) 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) 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) 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) 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')
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Big Analytics Cloud Computing Center
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