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Type 'q()' to quit R. > x <- c(20709.9,21227.3,23009.8,20416.2,20929.6,20763.9,19607.4,19419,19584.9,21878,21745.5,19206.8,21041.3,20407.1,22437,21050.3,20415.7,20220.6,20217.8,18286.4,20781.3,21619.6,20417.6,19988.6,21026.9,20128.3,21671.5,21053.2,19978.6,20572.6,20220.4,19107.6,21989.5,21701.2,19758.3,19843.9,18906.2,19071.2,22385.6,20208.5,19261.4,21470.1,19539.9,17665.1,19917.2,20399.5,19263,19026,18375.4,20165,21138.7,21414.3,20799.2,22773.6,19747.2,19910.7,22051.7,21705,22328.8,20910.3) > 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_density.wasp/ > #Source of accompanying publication: http://www.xycoon.com/density_trace.htm > # > if (par1 == '0') bw <- 'nrd0' > if (par1 != '0') bw <- as.numeric(par1) > par3 <- as.numeric(par3) > mydensity <- array(NA, dim=c(par3,8)) > postscript(file="/var/wessaorg/rcomp/tmp/1t3m11494254744.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > mydensity1<-density(x,bw=bw,kernel='gaussian',na.rm=TRUE) > mydensity[,8] = signif(mydensity1$x,3) > mydensity[,1] = signif(mydensity1$y,3) > plot(mydensity1,main='Gaussian Kernel',xlab=xlab,ylab=ylab) > grid() > dev.off() null device 1 > mydensity1 Call: density.default(x = x, bw = bw, kernel = "gaussian", na.rm = TRUE) Data: x (60 obs.); Bandwidth 'bw' = 449.7 x y Min. :16316 Min. :1.675e-07 1st Qu.:18327 1st Qu.:1.660e-05 Median :20337 Median :8.849e-05 Mean :20337 Mean :1.242e-04 3rd Qu.:22348 3rd Qu.:2.294e-04 Max. :24359 Max. :3.227e-04 > postscript(file="/var/wessaorg/rcomp/tmp/2vss61494254744.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > mydensity2<-density(x,bw=bw,kernel='epanechnikov',na.rm=TRUE) > mydensity[,2] = signif(mydensity2$y,3) > plot(mydensity2,main='Epanechnikov Kernel',xlab=xlab,ylab=ylab) > grid() > dev.off() null device 1 > postscript(file="/var/wessaorg/rcomp/tmp/375hz1494254744.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$y,3) > plot(mydensity3,main='Rectangular Kernel',xlab=xlab,ylab=ylab) > grid() > dev.off() null device 1 > postscript(file="/var/wessaorg/rcomp/tmp/4ym1z1494254744.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > mydensity4<-density(x,bw=bw,kernel='triangular',na.rm=TRUE) > mydensity[,4] = signif(mydensity4$y,3) > plot(mydensity4,main='Triangular Kernel',xlab=xlab,ylab=ylab) > grid() > dev.off() null device 1 > postscript(file="/var/wessaorg/rcomp/tmp/5ybtd1494254744.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$y,3) > plot(mydensity5,main='Biweight Kernel',xlab=xlab,ylab=ylab) > grid() > dev.off() null device 1 > postscript(file="/var/wessaorg/rcomp/tmp/695q41494254744.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > mydensity6<-density(x,bw=bw,kernel='cosine',na.rm=TRUE) > mydensity[,6] = signif(mydensity6$y,3) > plot(mydensity6,main='Cosine Kernel',xlab=xlab,ylab=ylab) > grid() > dev.off() null device 1 > postscript(file="/var/wessaorg/rcomp/tmp/7owxh1494254744.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$n) > ab<-table.row.end(ab) > ab<-table.end(ab) > a <- ab > table.save(a,file="/var/wessaorg/rcomp/tmp/833891494254744.tab") > b<-table.start() > b<-table.row.start(b) > b<-table.element(b,'Maximum Density Values',3,TRUE) > b<-table.row.end(b) > b<-table.row.start(b) > b<-table.element(b,'Kernel',1,TRUE) > b<-table.element(b,'x-value',1,TRUE) > b<-table.element(b,'max. density',1,TRUE) > b<-table.row.end(b) > b<-table.row.start(b) > b<-table.element(b,'Gaussian',1,TRUE) > b<-table.element(b,mydensity1$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/9w9uh1494254744.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/1079da1494254744.tab") > > try(system("convert tmp/1t3m11494254744.ps tmp/1t3m11494254744.png",intern=TRUE)) character(0) > try(system("convert tmp/2vss61494254744.ps tmp/2vss61494254744.png",intern=TRUE)) character(0) > try(system("convert tmp/375hz1494254744.ps tmp/375hz1494254744.png",intern=TRUE)) character(0) > try(system("convert tmp/4ym1z1494254744.ps tmp/4ym1z1494254744.png",intern=TRUE)) character(0) > try(system("convert tmp/5ybtd1494254744.ps tmp/5ybtd1494254744.png",intern=TRUE)) character(0) > try(system("convert tmp/695q41494254744.ps tmp/695q41494254744.png",intern=TRUE)) character(0) > try(system("convert tmp/7owxh1494254744.ps tmp/7owxh1494254744.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 3.605 0.432 4.200