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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_density.wasp
Title produced by softwareKernel Density Estimation
Date of computationSun, 16 Dec 2012 16:39:14 -0500
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/Dec/16/t1355693986vy2n1wn2ig891lw.htm/, Retrieved Sun, 28 Apr 2024 12:12:51 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=200617, Retrieved Sun, 28 Apr 2024 12:12:51 +0000
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IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact104
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Central Tendency] [Arabica Price in ...] [2008-01-19 12:03:37] [74be16979710d4c4e7c6647856088456]
- RM D  [Percentiles] [] [2010-11-16 19:22:04] [b98453cac15ba1066b407e146608df68]
- RMPD      [Kernel Density Estimation] [Paper 2012, Deel ...] [2012-12-16 21:39:14] [e4c351aee2a0bb2c047702ea90f356fa] [Current]
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Dataseries X:
14
18
11
12
16
18
14
14
15
15
17
19
10
16
18
14
14
17
14
16
18
11
14
12
17
9
16
14
15
11
16
13
17
15
14
16
9
15
17
13
15
16
16
12
12
11
15
15
17
13
16
14
11
12
12
15
16
15
12
12
8
13
11
14
15
10
11
12
15
15
14
16
15
15
13
12
17
13
15
13
15
16
15
16
15
14
15
14
13
7
17
13
15
14
13
16
12
14
17
15
17
12
16
11
15
9
16
15
10
10
15
11
13
14
18
16
14
14
14
14
12
14
15
15
15
13
17
17
19
15
13
9
15
15
15
16
11
14
11
15
13
15
16
14
15
16
16
11
12
9
16
13
16
12
9
13
13
14
19
13
12
13




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time6 seconds
R Server'Herman Ole Andreas Wold' @ wold.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 & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=200617&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=200617&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=200617&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'Herman Ole Andreas Wold' @ wold.wessa.net







Properties of Density Trace
Bandwidth0.728376562744723
#Observations162

\begin{tabular}{lllllllll}
\hline
Properties of Density Trace \tabularnewline
Bandwidth & 0.728376562744723 \tabularnewline
#Observations & 162 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=200617&T=1

[TABLE]
[ROW][C]Properties of Density Trace[/C][/ROW]
[ROW][C]Bandwidth[/C][C]0.728376562744723[/C][/ROW]
[ROW][C]#Observations[/C][C]162[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=200617&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=200617&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
Bandwidth0.728376562744723
#Observations162







Maximum Density Values
Kernelx-valuemax. density
Gaussian14.90612609178060.184380834655541
Epanechnikov14.97019755705050.184581340956449
Rectangular14.81001889387570.203056310997469
Triangular15.00223328968550.192716064008066
Biweight14.97019755705050.182210271075518
Cosine14.90612609178060.181988098605344
Optcosine14.97019755705050.18366677435057

\begin{tabular}{lllllllll}
\hline
Maximum Density Values \tabularnewline
Kernel & x-value & max. density \tabularnewline
Gaussian & 14.9061260917806 & 0.184380834655541 \tabularnewline
Epanechnikov & 14.9701975570505 & 0.184581340956449 \tabularnewline
Rectangular & 14.8100188938757 & 0.203056310997469 \tabularnewline
Triangular & 15.0022332896855 & 0.192716064008066 \tabularnewline
Biweight & 14.9701975570505 & 0.182210271075518 \tabularnewline
Cosine & 14.9061260917806 & 0.181988098605344 \tabularnewline
Optcosine & 14.9701975570505 & 0.18366677435057 \tabularnewline
 \hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=200617&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]14.9061260917806[/C][C]0.184380834655541[/C][/ROW]
[ROW][C]Epanechnikov[/C][C]14.9701975570505[/C][C]0.184581340956449[/C][/ROW]
[ROW][C]Rectangular[/C][C]14.8100188938757[/C][C]0.203056310997469[/C][/ROW]
[ROW][C]Triangular[/C][C]15.0022332896855[/C][C]0.192716064008066[/C][/ROW]
[ROW][C]Biweight[/C][C]14.9701975570505[/C][C]0.182210271075518[/C][/ROW]
[ROW][C]Cosine[/C][C]14.9061260917806[/C][C]0.181988098605344[/C][/ROW]
[ROW][C]Optcosine[/C][C]14.9701975570505[/C][C]0.18366677435057[/C][/ROW]
 [/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=200617&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=200617&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
Gaussian14.90612609178060.184380834655541
Epanechnikov14.97019755705050.184581340956449
Rectangular14.81001889387570.203056310997469
Triangular15.00223328968550.192716064008066
Biweight14.97019755705050.182210271075518
Cosine14.90612609178060.181988098605344
Optcosine14.97019755705050.18366677435057







Maximum Density Values
Kernelx-valuemax. density
Gaussian14.90612609178060.184380834655541
Epanechnikov14.97019755705050.184581340956449
Rectangular14.97019755705050.203056310997469
Triangular15.00223328968550.192716064008066
Biweight14.97019755705050.182210271075518
Cosine14.90612609178060.181988098605344
Optcosine14.97019755705050.18366677435057

\begin{tabular}{lllllllll}
\hline
Maximum Density Values \tabularnewline
Kernel & x-value & max. density \tabularnewline
Gaussian & 14.9061260917806 & 0.184380834655541 \tabularnewline
Epanechnikov & 14.9701975570505 & 0.184581340956449 \tabularnewline
Rectangular & 14.9701975570505 & 0.203056310997469 \tabularnewline
Triangular & 15.0022332896855 & 0.192716064008066 \tabularnewline
Biweight & 14.9701975570505 & 0.182210271075518 \tabularnewline
Cosine & 14.9061260917806 & 0.181988098605344 \tabularnewline
Optcosine & 14.9701975570505 & 0.18366677435057 \tabularnewline
 \hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=200617&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]14.9061260917806[/C][C]0.184380834655541[/C][/ROW]
[ROW][C]Epanechnikov[/C][C]14.9701975570505[/C][C]0.184581340956449[/C][/ROW]
[ROW][C]Rectangular[/C][C]14.9701975570505[/C][C]0.203056310997469[/C][/ROW]
[ROW][C]Triangular[/C][C]15.0022332896855[/C][C]0.192716064008066[/C][/ROW]
[ROW][C]Biweight[/C][C]14.9701975570505[/C][C]0.182210271075518[/C][/ROW]
[ROW][C]Cosine[/C][C]14.9061260917806[/C][C]0.181988098605344[/C][/ROW]
[ROW][C]Optcosine[/C][C]14.9701975570505[/C][C]0.18366677435057[/C][/ROW]
 [/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=200617&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=200617&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
Gaussian14.90612609178060.184380834655541
Epanechnikov14.97019755705050.184581340956449
Rectangular14.97019755705050.203056310997469
Triangular15.00223328968550.192716064008066
Biweight14.97019755705050.182210271075518
Cosine14.90612609178060.181988098605344
Optcosine14.97019755705050.18366677435057







Maximum Density Values
Kernelx-valuemax. density
Gaussian14.90612609178060.184380834655541
Epanechnikov14.97019755705050.184581340956449
Rectangular15.00223328968550.203056310997469
Triangular15.00223328968550.192716064008066
Biweight14.97019755705050.182210271075518
Cosine14.90612609178060.181988098605344
Optcosine14.97019755705050.18366677435057

\begin{tabular}{lllllllll}
\hline
Maximum Density Values \tabularnewline
Kernel & x-value & max. density \tabularnewline
Gaussian & 14.9061260917806 & 0.184380834655541 \tabularnewline
Epanechnikov & 14.9701975570505 & 0.184581340956449 \tabularnewline
Rectangular & 15.0022332896855 & 0.203056310997469 \tabularnewline
Triangular & 15.0022332896855 & 0.192716064008066 \tabularnewline
Biweight & 14.9701975570505 & 0.182210271075518 \tabularnewline
Cosine & 14.9061260917806 & 0.181988098605344 \tabularnewline
Optcosine & 14.9701975570505 & 0.18366677435057 \tabularnewline
 \hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=200617&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]14.9061260917806[/C][C]0.184380834655541[/C][/ROW]
[ROW][C]Epanechnikov[/C][C]14.9701975570505[/C][C]0.184581340956449[/C][/ROW]
[ROW][C]Rectangular[/C][C]15.0022332896855[/C][C]0.203056310997469[/C][/ROW]
[ROW][C]Triangular[/C][C]15.0022332896855[/C][C]0.192716064008066[/C][/ROW]
[ROW][C]Biweight[/C][C]14.9701975570505[/C][C]0.182210271075518[/C][/ROW]
[ROW][C]Cosine[/C][C]14.9061260917806[/C][C]0.181988098605344[/C][/ROW]
[ROW][C]Optcosine[/C][C]14.9701975570505[/C][C]0.18366677435057[/C][/ROW]
 [/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=200617&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=200617&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
Gaussian14.90612609178060.184380834655541
Epanechnikov14.97019755705050.184581340956449
Rectangular15.00223328968550.203056310997469
Triangular15.00223328968550.192716064008066
Biweight14.97019755705050.182210271075518
Cosine14.90612609178060.181988098605344
Optcosine14.97019755705050.18366677435057







Maximum Density Values
Kernelx-valuemax. density
Gaussian14.90612609178060.184380834655541
Epanechnikov14.97019755705050.184581340956449
Rectangular15.03426902232040.203056310997469
Triangular15.00223328968550.192716064008066
Biweight14.97019755705050.182210271075518
Cosine14.90612609178060.181988098605344
Optcosine14.97019755705050.18366677435057

\begin{tabular}{lllllllll}
\hline
Maximum Density Values \tabularnewline
Kernel & x-value & max. density \tabularnewline
Gaussian & 14.9061260917806 & 0.184380834655541 \tabularnewline
Epanechnikov & 14.9701975570505 & 0.184581340956449 \tabularnewline
Rectangular & 15.0342690223204 & 0.203056310997469 \tabularnewline
Triangular & 15.0022332896855 & 0.192716064008066 \tabularnewline
Biweight & 14.9701975570505 & 0.182210271075518 \tabularnewline
Cosine & 14.9061260917806 & 0.181988098605344 \tabularnewline
Optcosine & 14.9701975570505 & 0.18366677435057 \tabularnewline
 \hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=200617&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]14.9061260917806[/C][C]0.184380834655541[/C][/ROW]
[ROW][C]Epanechnikov[/C][C]14.9701975570505[/C][C]0.184581340956449[/C][/ROW]
[ROW][C]Rectangular[/C][C]15.0342690223204[/C][C]0.203056310997469[/C][/ROW]
[ROW][C]Triangular[/C][C]15.0022332896855[/C][C]0.192716064008066[/C][/ROW]
[ROW][C]Biweight[/C][C]14.9701975570505[/C][C]0.182210271075518[/C][/ROW]
[ROW][C]Cosine[/C][C]14.9061260917806[/C][C]0.181988098605344[/C][/ROW]
[ROW][C]Optcosine[/C][C]14.9701975570505[/C][C]0.18366677435057[/C][/ROW]
 [/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=200617&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=200617&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
Gaussian14.90612609178060.184380834655541
Epanechnikov14.97019755705050.184581340956449
Rectangular15.03426902232040.203056310997469
Triangular15.00223328968550.192716064008066
Biweight14.97019755705050.182210271075518
Cosine14.90612609178060.181988098605344
Optcosine14.97019755705050.18366677435057







Maximum Density Values
Kernelx-valuemax. density
Gaussian14.90612609178060.184380834655541
Epanechnikov14.97019755705050.184581340956449
Rectangular15.06630475495540.203056310997469
Triangular15.00223328968550.192716064008066
Biweight14.97019755705050.182210271075518
Cosine14.90612609178060.181988098605344
Optcosine14.97019755705050.18366677435057

\begin{tabular}{lllllllll}
\hline
Maximum Density Values \tabularnewline
Kernel & x-value & max. density \tabularnewline
Gaussian & 14.9061260917806 & 0.184380834655541 \tabularnewline
Epanechnikov & 14.9701975570505 & 0.184581340956449 \tabularnewline
Rectangular & 15.0663047549554 & 0.203056310997469 \tabularnewline
Triangular & 15.0022332896855 & 0.192716064008066 \tabularnewline
Biweight & 14.9701975570505 & 0.182210271075518 \tabularnewline
Cosine & 14.9061260917806 & 0.181988098605344 \tabularnewline
Optcosine & 14.9701975570505 & 0.18366677435057 \tabularnewline
 \hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=200617&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]14.9061260917806[/C][C]0.184380834655541[/C][/ROW]
[ROW][C]Epanechnikov[/C][C]14.9701975570505[/C][C]0.184581340956449[/C][/ROW]
[ROW][C]Rectangular[/C][C]15.0663047549554[/C][C]0.203056310997469[/C][/ROW]
[ROW][C]Triangular[/C][C]15.0022332896855[/C][C]0.192716064008066[/C][/ROW]
[ROW][C]Biweight[/C][C]14.9701975570505[/C][C]0.182210271075518[/C][/ROW]
[ROW][C]Cosine[/C][C]14.9061260917806[/C][C]0.181988098605344[/C][/ROW]
[ROW][C]Optcosine[/C][C]14.9701975570505[/C][C]0.18366677435057[/C][/ROW]
 [/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=200617&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=200617&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
Gaussian14.90612609178060.184380834655541
Epanechnikov14.97019755705050.184581340956449
Rectangular15.06630475495540.203056310997469
Triangular15.00223328968550.192716064008066
Biweight14.97019755705050.182210271075518
Cosine14.90612609178060.181988098605344
Optcosine14.97019755705050.18366677435057







Maximum Density Values
Kernelx-valuemax. density
Gaussian14.90612609178060.184380834655541
Epanechnikov14.97019755705050.184581340956449
Rectangular15.22648341813020.203056310997469
Triangular15.00223328968550.192716064008066
Biweight14.97019755705050.182210271075518
Cosine14.90612609178060.181988098605344
Optcosine14.97019755705050.18366677435057

\begin{tabular}{lllllllll}
\hline
Maximum Density Values \tabularnewline
Kernel & x-value & max. density \tabularnewline
Gaussian & 14.9061260917806 & 0.184380834655541 \tabularnewline
Epanechnikov & 14.9701975570505 & 0.184581340956449 \tabularnewline
Rectangular & 15.2264834181302 & 0.203056310997469 \tabularnewline
Triangular & 15.0022332896855 & 0.192716064008066 \tabularnewline
Biweight & 14.9701975570505 & 0.182210271075518 \tabularnewline
Cosine & 14.9061260917806 & 0.181988098605344 \tabularnewline
Optcosine & 14.9701975570505 & 0.18366677435057 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=200617&T=7

[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]14.9061260917806[/C][C]0.184380834655541[/C][/ROW]
[ROW][C]Epanechnikov[/C][C]14.9701975570505[/C][C]0.184581340956449[/C][/ROW]
[ROW][C]Rectangular[/C][C]15.2264834181302[/C][C]0.203056310997469[/C][/ROW]
[ROW][C]Triangular[/C][C]15.0022332896855[/C][C]0.192716064008066[/C][/ROW]
[ROW][C]Biweight[/C][C]14.9701975570505[/C][C]0.182210271075518[/C][/ROW]
[ROW][C]Cosine[/C][C]14.9061260917806[/C][C]0.181988098605344[/C][/ROW]
[ROW][C]Optcosine[/C][C]14.9701975570505[/C][C]0.18366677435057[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=200617&T=7

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=200617&T=7

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
Gaussian14.90612609178060.184380834655541
Epanechnikov14.97019755705050.184581340956449
Rectangular15.22648341813020.203056310997469
Triangular15.00223328968550.192716064008066
Biweight14.97019755705050.182210271075518
Cosine14.90612609178060.181988098605344
Optcosine14.97019755705050.18366677435057



Parameters (Session):
par1 = 12 ;
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')
}