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Author's title

Author*Unverified author*
R Software Modulerwasp_density.wasp
Title produced by softwareKernel Density Estimation
Date of computationSun, 07 Oct 2012 15:35:10 -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/2012/Oct/07/t13496386084kbbw45f5ddth0j.htm/, Retrieved Sat, 04 May 2024 20:12:27 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=173123, Retrieved Sat, 04 May 2024 20:12:27 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact75
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [] [2012-09-21 06:01:46] [478cd0ef71f88c3e9752da2ce7feecb2]
- RMPD    [Kernel Density Estimation] [] [2012-10-07 19:35:10] [f5bff74a98e4b5678f7389b9304cab6d] [Current]
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Dataseries X:
369.82
373.1
374.55
375.01
374.81
375.31
375.31
375.39
375.59
376.26
377.18
377.26
377.26
381.87
387.09
387.14
388.78
389.16
389.16
389.42
389.49
388.97
388.97
389.09
389.09
391.76
390.96
391.76
392.8
393.06
393.06
393.26
393.87
394.47
394.57
394.57
394.57
399.57
406.13
407.03
409.46
409.9
409.9
410.14
410.54
410.69
410.79
410.97
410.97
413.8
423.31
423.85
426.6
426.26
426.26
426.32
427.14
427.55
428.29
428.8
428.8
434.87
435.66
440.75
440.99
441.04
441.04
441.88
441.92
442.48
442.81
442.81
442.81
447.19
446.52
448.57
448.71




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time6 seconds
R Server'Gertrude Mary Cox' @ cox.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 & 6 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=173123&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]6 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=173123&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=173123&T=0

As an alternative you can also use a 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 time6 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net







Properties of Density Trace
Bandwidth9.15746910940529
#Observations77

\begin{tabular}{lllllllll}
\hline
Properties of Density Trace \tabularnewline
Bandwidth & 9.15746910940529 \tabularnewline
#Observations & 77 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=173123&T=1

[TABLE]
[ROW][C]Properties of Density Trace[/C][/ROW]
[ROW][C]Bandwidth[/C][C]9.15746910940529[/C][/ROW]
[ROW][C]#Observations[/C][C]77[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=173123&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=173123&T=1

As an alternative you can also use a QR Code:  

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

Properties of Density Trace
Bandwidth9.15746910940529
#Observations77







Maximum Density Values
Kernelx-valuemax. density
Gaussian389.2290639506520.0159214084859135
Epanechnikov386.0861720213420.0152419818435837
Rectangular384.2528183959110.0155570334700974
Triangular389.7528792722030.0160060272609097
Biweight387.9195256467730.0153556300580097
Cosine388.4433409683240.0154539968376583
Optcosine386.6099873428940.0152596962089412

\begin{tabular}{lllllllll}
\hline
Maximum Density Values \tabularnewline
Kernel & x-value & max. density \tabularnewline
Gaussian & 389.229063950652 & 0.0159214084859135 \tabularnewline
Epanechnikov & 386.086172021342 & 0.0152419818435837 \tabularnewline
Rectangular & 384.252818395911 & 0.0155570334700974 \tabularnewline
Triangular & 389.752879272203 & 0.0160060272609097 \tabularnewline
Biweight & 387.919525646773 & 0.0153556300580097 \tabularnewline
Cosine & 388.443340968324 & 0.0154539968376583 \tabularnewline
Optcosine & 386.609987342894 & 0.0152596962089412 \tabularnewline
 \hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=173123&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]389.229063950652[/C][C]0.0159214084859135[/C][/ROW]
[ROW][C]Epanechnikov[/C][C]386.086172021342[/C][C]0.0152419818435837[/C][/ROW]
[ROW][C]Rectangular[/C][C]384.252818395911[/C][C]0.0155570334700974[/C][/ROW]
[ROW][C]Triangular[/C][C]389.752879272203[/C][C]0.0160060272609097[/C][/ROW]
[ROW][C]Biweight[/C][C]387.919525646773[/C][C]0.0153556300580097[/C][/ROW]
[ROW][C]Cosine[/C][C]388.443340968324[/C][C]0.0154539968376583[/C][/ROW]
[ROW][C]Optcosine[/C][C]386.609987342894[/C][C]0.0152596962089412[/C][/ROW]
 [/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=173123&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=173123&T=2

As an alternative you can also use a QR Code:  

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

Maximum Density Values
Kernelx-valuemax. density
Gaussian389.2290639506520.0159214084859135
Epanechnikov386.0861720213420.0152419818435837
Rectangular384.2528183959110.0155570334700974
Triangular389.7528792722030.0160060272609097
Biweight387.9195256467730.0153556300580097
Cosine388.4433409683240.0154539968376583
Optcosine386.6099873428940.0152596962089412







Maximum Density Values
Kernelx-valuemax. density
Gaussian389.2290639506520.0159214084859135
Epanechnikov386.0861720213420.0152419818435837
Rectangular384.5147260566870.0155570334700974
Triangular389.7528792722030.0160060272609097
Biweight387.9195256467730.0153556300580097
Cosine388.4433409683240.0154539968376583
Optcosine386.6099873428940.0152596962089412

\begin{tabular}{lllllllll}
\hline
Maximum Density Values \tabularnewline
Kernel & x-value & max. density \tabularnewline
Gaussian & 389.229063950652 & 0.0159214084859135 \tabularnewline
Epanechnikov & 386.086172021342 & 0.0152419818435837 \tabularnewline
Rectangular & 384.514726056687 & 0.0155570334700974 \tabularnewline
Triangular & 389.752879272203 & 0.0160060272609097 \tabularnewline
Biweight & 387.919525646773 & 0.0153556300580097 \tabularnewline
Cosine & 388.443340968324 & 0.0154539968376583 \tabularnewline
Optcosine & 386.609987342894 & 0.0152596962089412 \tabularnewline
 \hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=173123&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]389.229063950652[/C][C]0.0159214084859135[/C][/ROW]
[ROW][C]Epanechnikov[/C][C]386.086172021342[/C][C]0.0152419818435837[/C][/ROW]
[ROW][C]Rectangular[/C][C]384.514726056687[/C][C]0.0155570334700974[/C][/ROW]
[ROW][C]Triangular[/C][C]389.752879272203[/C][C]0.0160060272609097[/C][/ROW]
[ROW][C]Biweight[/C][C]387.919525646773[/C][C]0.0153556300580097[/C][/ROW]
[ROW][C]Cosine[/C][C]388.443340968324[/C][C]0.0154539968376583[/C][/ROW]
[ROW][C]Optcosine[/C][C]386.609987342894[/C][C]0.0152596962089412[/C][/ROW]
 [/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=173123&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=173123&T=3

As an alternative you can also use a QR Code:  

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

Maximum Density Values
Kernelx-valuemax. density
Gaussian389.2290639506520.0159214084859135
Epanechnikov386.0861720213420.0152419818435837
Rectangular384.5147260566870.0155570334700974
Triangular389.7528792722030.0160060272609097
Biweight387.9195256467730.0153556300580097
Cosine388.4433409683240.0154539968376583
Optcosine386.6099873428940.0152596962089412







Maximum Density Values
Kernelx-valuemax. density
Gaussian389.2290639506520.0159214084859135
Epanechnikov386.0861720213420.0152419818435837
Rectangular384.7766337174630.0155570334700974
Triangular389.7528792722030.0160060272609097
Biweight387.9195256467730.0153556300580097
Cosine388.4433409683240.0154539968376583
Optcosine386.6099873428940.0152596962089412

\begin{tabular}{lllllllll}
\hline
Maximum Density Values \tabularnewline
Kernel & x-value & max. density \tabularnewline
Gaussian & 389.229063950652 & 0.0159214084859135 \tabularnewline
Epanechnikov & 386.086172021342 & 0.0152419818435837 \tabularnewline
Rectangular & 384.776633717463 & 0.0155570334700974 \tabularnewline
Triangular & 389.752879272203 & 0.0160060272609097 \tabularnewline
Biweight & 387.919525646773 & 0.0153556300580097 \tabularnewline
Cosine & 388.443340968324 & 0.0154539968376583 \tabularnewline
Optcosine & 386.609987342894 & 0.0152596962089412 \tabularnewline
 \hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=173123&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]389.229063950652[/C][C]0.0159214084859135[/C][/ROW]
[ROW][C]Epanechnikov[/C][C]386.086172021342[/C][C]0.0152419818435837[/C][/ROW]
[ROW][C]Rectangular[/C][C]384.776633717463[/C][C]0.0155570334700974[/C][/ROW]
[ROW][C]Triangular[/C][C]389.752879272203[/C][C]0.0160060272609097[/C][/ROW]
[ROW][C]Biweight[/C][C]387.919525646773[/C][C]0.0153556300580097[/C][/ROW]
[ROW][C]Cosine[/C][C]388.443340968324[/C][C]0.0154539968376583[/C][/ROW]
[ROW][C]Optcosine[/C][C]386.609987342894[/C][C]0.0152596962089412[/C][/ROW]
 [/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=173123&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=173123&T=4

As an alternative you can also use a QR Code:  

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

Maximum Density Values
Kernelx-valuemax. density
Gaussian389.2290639506520.0159214084859135
Epanechnikov386.0861720213420.0152419818435837
Rectangular384.7766337174630.0155570334700974
Triangular389.7528792722030.0160060272609097
Biweight387.9195256467730.0153556300580097
Cosine388.4433409683240.0154539968376583
Optcosine386.6099873428940.0152596962089412







Maximum Density Values
Kernelx-valuemax. density
Gaussian389.2290639506520.0159214084859135
Epanechnikov386.0861720213420.0152419818435837
Rectangular385.0385413782390.0155570334700974
Triangular389.7528792722030.0160060272609097
Biweight387.9195256467730.0153556300580097
Cosine388.4433409683240.0154539968376583
Optcosine386.6099873428940.0152596962089412

\begin{tabular}{lllllllll}
\hline
Maximum Density Values \tabularnewline
Kernel & x-value & max. density \tabularnewline
Gaussian & 389.229063950652 & 0.0159214084859135 \tabularnewline
Epanechnikov & 386.086172021342 & 0.0152419818435837 \tabularnewline
Rectangular & 385.038541378239 & 0.0155570334700974 \tabularnewline
Triangular & 389.752879272203 & 0.0160060272609097 \tabularnewline
Biweight & 387.919525646773 & 0.0153556300580097 \tabularnewline
Cosine & 388.443340968324 & 0.0154539968376583 \tabularnewline
Optcosine & 386.609987342894 & 0.0152596962089412 \tabularnewline
 \hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=173123&T=5

[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]389.229063950652[/C][C]0.0159214084859135[/C][/ROW]
[ROW][C]Epanechnikov[/C][C]386.086172021342[/C][C]0.0152419818435837[/C][/ROW]
[ROW][C]Rectangular[/C][C]385.038541378239[/C][C]0.0155570334700974[/C][/ROW]
[ROW][C]Triangular[/C][C]389.752879272203[/C][C]0.0160060272609097[/C][/ROW]
[ROW][C]Biweight[/C][C]387.919525646773[/C][C]0.0153556300580097[/C][/ROW]
[ROW][C]Cosine[/C][C]388.443340968324[/C][C]0.0154539968376583[/C][/ROW]
[ROW][C]Optcosine[/C][C]386.609987342894[/C][C]0.0152596962089412[/C][/ROW]
 [/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=173123&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=173123&T=5

As an alternative you can also use a QR Code:  

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

Maximum Density Values
Kernelx-valuemax. density
Gaussian389.2290639506520.0159214084859135
Epanechnikov386.0861720213420.0152419818435837
Rectangular385.0385413782390.0155570334700974
Triangular389.7528792722030.0160060272609097
Biweight387.9195256467730.0153556300580097
Cosine388.4433409683240.0154539968376583
Optcosine386.6099873428940.0152596962089412







Maximum Density Values
Kernelx-valuemax. density
Gaussian389.2290639506520.0159214084859135
Epanechnikov386.0861720213420.0152419818435837
Rectangular385.3004490390150.0155570334700974
Triangular389.7528792722030.0160060272609097
Biweight387.9195256467730.0153556300580097
Cosine388.4433409683240.0154539968376583
Optcosine386.6099873428940.0152596962089412

\begin{tabular}{lllllllll}
\hline
Maximum Density Values \tabularnewline
Kernel & x-value & max. density \tabularnewline
Gaussian & 389.229063950652 & 0.0159214084859135 \tabularnewline
Epanechnikov & 386.086172021342 & 0.0152419818435837 \tabularnewline
Rectangular & 385.300449039015 & 0.0155570334700974 \tabularnewline
Triangular & 389.752879272203 & 0.0160060272609097 \tabularnewline
Biweight & 387.919525646773 & 0.0153556300580097 \tabularnewline
Cosine & 388.443340968324 & 0.0154539968376583 \tabularnewline
Optcosine & 386.609987342894 & 0.0152596962089412 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=173123&T=6

[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]389.229063950652[/C][C]0.0159214084859135[/C][/ROW]
[ROW][C]Epanechnikov[/C][C]386.086172021342[/C][C]0.0152419818435837[/C][/ROW]
[ROW][C]Rectangular[/C][C]385.300449039015[/C][C]0.0155570334700974[/C][/ROW]
[ROW][C]Triangular[/C][C]389.752879272203[/C][C]0.0160060272609097[/C][/ROW]
[ROW][C]Biweight[/C][C]387.919525646773[/C][C]0.0153556300580097[/C][/ROW]
[ROW][C]Cosine[/C][C]388.443340968324[/C][C]0.0154539968376583[/C][/ROW]
[ROW][C]Optcosine[/C][C]386.609987342894[/C][C]0.0152596962089412[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=173123&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=173123&T=6

As an alternative you can also use a QR Code:  

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

Maximum Density Values
Kernelx-valuemax. density
Gaussian389.2290639506520.0159214084859135
Epanechnikov386.0861720213420.0152419818435837
Rectangular385.3004490390150.0155570334700974
Triangular389.7528792722030.0160060272609097
Biweight387.9195256467730.0153556300580097
Cosine388.4433409683240.0154539968376583
Optcosine386.6099873428940.0152596962089412



Parameters (Session):
par1 = 31 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;
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')
}