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Type 'q()' to quit R. > x <- c(97.78,97.73,97.61,97.69,97.68,97.67,97.67,97.96,98.27,99.52,99.59,99.75,99.75,99.8,99.99,100.25,100.08,100.08,100.08,100.06,101,101.81,101.82,101.96,101.96,101.93,102.03,102.11,102.07,102.34,102.34,102.33,102.77,103.08,103.38,103.44,99.1,99.15,99.21,99.01,99.08,99.11,100.11,100.31,100.55,101.38,101.49,101.5,100.69,100.8,100.58,100.34,100.38,100.33,101.06,101.15,101.36,101.98,102.24,102.34,101.91,101.8,101.8,101.73,101.8,101.81,102.28,101.7,101.7,102.37,102.43,102.41) > par3 = '512' > par2 = 'no' > par1 = '0' > ylab = 'Density' > xlab = 'Value' > par3 <- '512' > par2 <- 'no' > par1 <- '0' > #'GNU S' R Code compiled by R2WASP v. 1.2.327 (Sat, 26 Sep 2015 10:34:04 +0100) > #Author: root > #To cite this work: Wessa, P. (2015), Kernel Density Estimation (v1.0.12) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_density.wasp/ > #Source of accompanying publication: http://www.xycoon.com/density_trace.htm > # > if (par1 == '0') bw <- 'nrd0' > if (par1 != '0') bw <- as.numeric(par1) > par3 <- as.numeric(par3) > mydensity <- array(NA, dim=c(par3,8)) > postscript(file="/var/wessaorg/rcomp/tmp/1ff1n1495014845.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > mydensity1<-density(x,bw=bw,kernel='gaussian',na.rm=TRUE) > mydensity[,8] = signif(mydensity1$x,3) > mydensity[,1] = signif(mydensity1$y,3) > plot(mydensity1,main='Gaussian Kernel',xlab=xlab,ylab=ylab) > grid() > dev.off() null device 1 > mydensity1 Call: density.default(x = x, bw = bw, kernel = "gaussian", na.rm = TRUE) Data: x (72 obs.); Bandwidth 'bw' = 0.602 x y Min. : 95.80 Min. :0.0001971 1st Qu.: 98.16 1st Qu.:0.0230736 Median :100.53 Median :0.0851757 Mean :100.53 Mean :0.1057915 3rd Qu.:102.89 3rd Qu.:0.1858667 Max. :105.25 Max. :0.2662726 > postscript(file="/var/wessaorg/rcomp/tmp/214kx1495014845.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > mydensity2<-density(x,bw=bw,kernel='epanechnikov',na.rm=TRUE) > mydensity[,2] = signif(mydensity2$y,3) > plot(mydensity2,main='Epanechnikov Kernel',xlab=xlab,ylab=ylab) > grid() > dev.off() null device 1 > postscript(file="/var/wessaorg/rcomp/tmp/3msmv1495014845.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > mydensity3<-density(x,bw=bw,kernel='rectangular',na.rm=TRUE) > mydensity[,3] = signif(mydensity3$y,3) > plot(mydensity3,main='Rectangular Kernel',xlab=xlab,ylab=ylab) > grid() > dev.off() null device 1 > postscript(file="/var/wessaorg/rcomp/tmp/49hcv1495014845.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > mydensity4<-density(x,bw=bw,kernel='triangular',na.rm=TRUE) > mydensity[,4] = signif(mydensity4$y,3) > plot(mydensity4,main='Triangular Kernel',xlab=xlab,ylab=ylab) > grid() > dev.off() null device 1 > postscript(file="/var/wessaorg/rcomp/tmp/5sjmf1495014845.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > mydensity5<-density(x,bw=bw,kernel='biweight',na.rm=TRUE) > mydensity[,5] = signif(mydensity5$y,3) > plot(mydensity5,main='Biweight Kernel',xlab=xlab,ylab=ylab) > grid() > dev.off() null device 1 > postscript(file="/var/wessaorg/rcomp/tmp/6yftr1495014845.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > mydensity6<-density(x,bw=bw,kernel='cosine',na.rm=TRUE) > mydensity[,6] = signif(mydensity6$y,3) > plot(mydensity6,main='Cosine Kernel',xlab=xlab,ylab=ylab) > grid() > dev.off() null device 1 > postscript(file="/var/wessaorg/rcomp/tmp/769c51495014845.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > mydensity7<-density(x,bw=bw,kernel='optcosine',na.rm=TRUE) > mydensity[,7] = signif(mydensity7$y,3) > plot(mydensity7,main='Optcosine Kernel',xlab=xlab,ylab=ylab) > grid() > dev.off() null device 1 > > #Note: the /var/wessaorg/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab > load(file="/var/wessaorg/rcomp/createtable") > > ab<-table.start() > ab<-table.row.start(ab) > ab<-table.element(ab,'Properties of Density Trace',2,TRUE) > ab<-table.row.end(ab) > ab<-table.row.start(ab) > ab<-table.element(ab,'Bandwidth',header=TRUE) > ab<-table.element(ab,mydensity1$bw) > ab<-table.row.end(ab) > ab<-table.row.start(ab) > ab<-table.element(ab,'#Observations',header=TRUE) > ab<-table.element(ab,mydensity1$n) > ab<-table.row.end(ab) > ab<-table.end(ab) > a <- ab > table.save(a,file="/var/wessaorg/rcomp/tmp/8829c1495014845.tab") > b<-table.start() > b<-table.row.start(b) > b<-table.element(b,'Maximum Density Values',3,TRUE) > b<-table.row.end(b) > b<-table.row.start(b) > b<-table.element(b,'Kernel',1,TRUE) > b<-table.element(b,'x-value',1,TRUE) > b<-table.element(b,'max. density',1,TRUE) > b<-table.row.end(b) > b<-table.row.start(b) > b<-table.element(b,'Gaussian',1,TRUE) > b<-table.element(b,mydensity1$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(a,file="/var/wessaorg/rcomp/tmp/9twy41495014845.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="/var/wessaorg/rcomp/tmp/10j9581495014845.tab") > > try(system("convert tmp/1ff1n1495014845.ps tmp/1ff1n1495014845.png",intern=TRUE)) character(0) > try(system("convert tmp/214kx1495014845.ps tmp/214kx1495014845.png",intern=TRUE)) character(0) > try(system("convert tmp/3msmv1495014845.ps tmp/3msmv1495014845.png",intern=TRUE)) character(0) > try(system("convert tmp/49hcv1495014845.ps tmp/49hcv1495014845.png",intern=TRUE)) character(0) > try(system("convert tmp/5sjmf1495014845.ps tmp/5sjmf1495014845.png",intern=TRUE)) character(0) > try(system("convert tmp/6yftr1495014845.ps tmp/6yftr1495014845.png",intern=TRUE)) character(0) > try(system("convert tmp/769c51495014845.ps tmp/769c51495014845.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 4.242 0.872 5.533