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Data:
Bins Midpoint Abs.Frequency Rel.Frequency Cumul.Rel.Freq. Density [4.6[ 5 3 0.003333 0.003333 0.001667 [6.8[ 7 1 0.001111 0.004444 0.000556 [8.10[ 9 4 0.004444 0.008889 0.002222 [10.12[ 11 17 0.018889 0.027778 0.009444 [12.14[ 13 26 0.028889 0.056667 0.014444 [14.16[ 15 78 0.086667 0.143333 0.043333 [16.18[ 17 3 0.003333 0.146667 0.001667 [18.20[ 19 28 0.031111 0.177778 0.015556 [20.22[ 21 197 0.218889 0.396667 0.109444 [22.24[ 23 99 0.11 0.506667 0.055 [24.26[ 25 300 0.333333 0.84 0.166667 [26.28[ 27 2 0.002222 0.842222 0.001111 [28.30[ 29 4 0.004444 0.846667 0.002222 [30.32[ 31 80 0.088889 0.935556 0.044444 [32.34[ 33 0 0 0.935556 0 [34.36[ 35 20 0.022222 0.957778 0.011111 [36.38[ 37 0 0 0.957778 0 [38.40[ 39 1 0.001111 0.958889 0.000556 [40.42[ 41 20 0.022222 0.981111 0.011111 [42.44[ 43 0 0 0.981111 0 [44.46[ 45 0 0 0.981111 0 [46.48[ 47 0 0 0.981111 0 [48.50[ 49 0 0 0.981111 0 [50.52[ 51 16 0.017778 0.998889 0.008889 [52.54[ 53 0 0 0.998889 0 [54.56[ 55 0 0 0.998889 0 [56.58[ 57 0 0 0.998889 0 [58.60[ 59 0 0 0.998889 0 [60.62[ 61 0 0 0.998889 0 [62.64[ 63 0 0 0.998889 0 [64.66] 65 1 0.001111 1 0.000556
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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