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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_density.wasp
Title produced by softwareKernel Density Estimation
Date of computationMon, 07 Oct 2013 08:00:25 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2013/Oct/07/t1381147352028pbl5zrgzzx1r.htm/, Retrieved Fri, 03 May 2024 09:17:25 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=213640, Retrieved Fri, 03 May 2024 09:17:25 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact97

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Histogram] [] [2013-09-30 18:00:15] [f1b4e037718d22c2d53dadc64c29fc43]
- RMP     [Kernel Density Estimation] [] [2013-10-07 12:00:25] [3c7daf9c150a57900c7784703a011e78] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
102.78
102.78
102.78
102.78
102.78
102.78
102.78
101.67
101.67
101.67
101.67
101.67
101.67
101.67
101.67
101.67
101.67
101.67
101.67
105.79
105.79
105.79
105.79
105.79
105.79
105.79
105.79
105.79
105.79
105.79
105.79
104.47
104.47
104.47
104.47
104.47
104.47
104.47
104.47
105.5
105.5
105.5
105.5
106.61
106.61
106.61
106.61
106.61
106.61
106.61
106.61
112.06
112.06
112.06
112.06
111.18
111.18
111.18
111.18
111.18
111.18
111.18
111.18
117.21
117.21
117.21
117.21
107.98
107.98
107.98
107.98
107.98

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time7 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 7 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=213640&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]7 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=213640&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=213640&T=0

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time7 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net






Properties of Density Trace
Bandwidth1.48482255296734
#Observations72

\begin{tabular}{lllllllll}
\hline
Properties of Density Trace \tabularnewline
Bandwidth & 1.48482255296734 \tabularnewline
#Observations & 72 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=213640&T=1

[TABLE]
[ROW][C]Properties of Density Trace[/C][/ROW]
[ROW][C]Bandwidth[/C][C]1.48482255296734[/C][/ROW]
[ROW][C]#Observations[/C][C]72[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=213640&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=213640&T=1

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Properties of Density Trace
Bandwidth1.48482255296734
#Observations72






Maximum Density Values
Kernelx-valuemax. density
Gaussian105.6363006697350.116230016578211
Epanechnikov104.2966329810880.110418288618417
Rectangular104.105251882710.137712226911797
Triangular105.7798364935190.11517711290655
Biweight105.3013837475730.110574849313352
Cosine105.3492290221680.111534301395642
Optcosine105.4927648459510.109587584988853

\begin{tabular}{lllllllll}
\hline
Maximum Density Values \tabularnewline
Kernel & x-value & max. density \tabularnewline
Gaussian & 105.636300669735 & 0.116230016578211 \tabularnewline
Epanechnikov & 104.296632981088 & 0.110418288618417 \tabularnewline
Rectangular & 104.10525188271 & 0.137712226911797 \tabularnewline
Triangular & 105.779836493519 & 0.11517711290655 \tabularnewline
Biweight & 105.301383747573 & 0.110574849313352 \tabularnewline
Cosine & 105.349229022168 & 0.111534301395642 \tabularnewline
Optcosine & 105.492764845951 & 0.109587584988853 \tabularnewline
 \hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=213640&T=2

[TABLE]
[ROW][C]Maximum Density Values[/C][/ROW]
[ROW][C]Kernel[/C][C]x-value[/C][C]max. density[/C][/ROW]
[ROW][C]Gaussian[/C][C]105.636300669735[/C][C]0.116230016578211[/C][/ROW]
[ROW][C]Epanechnikov[/C][C]104.296632981088[/C][C]0.110418288618417[/C][/ROW]
[ROW][C]Rectangular[/C][C]104.10525188271[/C][C]0.137712226911797[/C][/ROW]
[ROW][C]Triangular[/C][C]105.779836493519[/C][C]0.11517711290655[/C][/ROW]
[ROW][C]Biweight[/C][C]105.301383747573[/C][C]0.110574849313352[/C][/ROW]
[ROW][C]Cosine[/C][C]105.349229022168[/C][C]0.111534301395642[/C][/ROW]
[ROW][C]Optcosine[/C][C]105.492764845951[/C][C]0.109587584988853[/C][/ROW]
 [/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=213640&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=213640&T=2

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Maximum Density Values
Kernelx-valuemax. density
Gaussian105.6363006697350.116230016578211
Epanechnikov104.2966329810880.110418288618417
Rectangular104.105251882710.137712226911797
Triangular105.7798364935190.11517711290655
Biweight105.3013837475730.110574849313352
Cosine105.3492290221680.111534301395642
Optcosine105.4927648459510.109587584988853






Maximum Density Values
Kernelx-valuemax. density
Gaussian105.6363006697350.116230016578211
Epanechnikov104.2966329810880.110418288618417
Rectangular104.1530971573050.137712226911797
Triangular105.7798364935190.11517711290655
Biweight105.3013837475730.110574849313352
Cosine105.3492290221680.111534301395642
Optcosine105.4927648459510.109587584988853

\begin{tabular}{lllllllll}
\hline
Maximum Density Values \tabularnewline
Kernel & x-value & max. density \tabularnewline
Gaussian & 105.636300669735 & 0.116230016578211 \tabularnewline
Epanechnikov & 104.296632981088 & 0.110418288618417 \tabularnewline
Rectangular & 104.153097157305 & 0.137712226911797 \tabularnewline
Triangular & 105.779836493519 & 0.11517711290655 \tabularnewline
Biweight & 105.301383747573 & 0.110574849313352 \tabularnewline
Cosine & 105.349229022168 & 0.111534301395642 \tabularnewline
Optcosine & 105.492764845951 & 0.109587584988853 \tabularnewline
 \hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=213640&T=3

[TABLE]
[ROW][C]Maximum Density Values[/C][/ROW]
[ROW][C]Kernel[/C][C]x-value[/C][C]max. density[/C][/ROW]
[ROW][C]Gaussian[/C][C]105.636300669735[/C][C]0.116230016578211[/C][/ROW]
[ROW][C]Epanechnikov[/C][C]104.296632981088[/C][C]0.110418288618417[/C][/ROW]
[ROW][C]Rectangular[/C][C]104.153097157305[/C][C]0.137712226911797[/C][/ROW]
[ROW][C]Triangular[/C][C]105.779836493519[/C][C]0.11517711290655[/C][/ROW]
[ROW][C]Biweight[/C][C]105.301383747573[/C][C]0.110574849313352[/C][/ROW]
[ROW][C]Cosine[/C][C]105.349229022168[/C][C]0.111534301395642[/C][/ROW]
[ROW][C]Optcosine[/C][C]105.492764845951[/C][C]0.109587584988853[/C][/ROW]
 [/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=213640&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=213640&T=3

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Maximum Density Values
Kernelx-valuemax. density
Gaussian105.6363006697350.116230016578211
Epanechnikov104.2966329810880.110418288618417
Rectangular104.1530971573050.137712226911797
Triangular105.7798364935190.11517711290655
Biweight105.3013837475730.110574849313352
Cosine105.3492290221680.111534301395642
Optcosine105.4927648459510.109587584988853






Maximum Density Values
Kernelx-valuemax. density
Gaussian105.6363006697350.116230016578211
Epanechnikov104.2966329810880.110418288618417
Rectangular104.2009424318990.137712226911797
Triangular105.7798364935190.11517711290655
Biweight105.3013837475730.110574849313352
Cosine105.3492290221680.111534301395642
Optcosine105.4927648459510.109587584988853

\begin{tabular}{lllllllll}
\hline
Maximum Density Values \tabularnewline
Kernel & x-value & max. density \tabularnewline
Gaussian & 105.636300669735 & 0.116230016578211 \tabularnewline
Epanechnikov & 104.296632981088 & 0.110418288618417 \tabularnewline
Rectangular & 104.200942431899 & 0.137712226911797 \tabularnewline
Triangular & 105.779836493519 & 0.11517711290655 \tabularnewline
Biweight & 105.301383747573 & 0.110574849313352 \tabularnewline
Cosine & 105.349229022168 & 0.111534301395642 \tabularnewline
Optcosine & 105.492764845951 & 0.109587584988853 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=213640&T=4

[TABLE]
[ROW][C]Maximum Density Values[/C][/ROW]
[ROW][C]Kernel[/C][C]x-value[/C][C]max. density[/C][/ROW]
[ROW][C]Gaussian[/C][C]105.636300669735[/C][C]0.116230016578211[/C][/ROW]
[ROW][C]Epanechnikov[/C][C]104.296632981088[/C][C]0.110418288618417[/C][/ROW]
[ROW][C]Rectangular[/C][C]104.200942431899[/C][C]0.137712226911797[/C][/ROW]
[ROW][C]Triangular[/C][C]105.779836493519[/C][C]0.11517711290655[/C][/ROW]
[ROW][C]Biweight[/C][C]105.301383747573[/C][C]0.110574849313352[/C][/ROW]
[ROW][C]Cosine[/C][C]105.349229022168[/C][C]0.111534301395642[/C][/ROW]
[ROW][C]Optcosine[/C][C]105.492764845951[/C][C]0.109587584988853[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=213640&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=213640&T=4

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Maximum Density Values
Kernelx-valuemax. density
Gaussian105.6363006697350.116230016578211
Epanechnikov104.2966329810880.110418288618417
Rectangular104.2009424318990.137712226911797
Triangular105.7798364935190.11517711290655
Biweight105.3013837475730.110574849313352
Cosine105.3492290221680.111534301395642
Optcosine105.4927648459510.109587584988853


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0 ; par2 = no ; par3 = 512 ;
Parameters (R input):
par1 = 0 ; par2 = no ; par3 = 512 ;
R code (references can be found in the software module):
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')
}