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Description of Statistical Computation

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 computationMon, 15 Dec 2014 16:02:01 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2014/Dec/15/t141865957255cln5ot22fcdy3.htm/, Retrieved Thu, 16 May 2024 17:20:23 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=268689, Retrieved Thu, 16 May 2024 17:20:23 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact42

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Kernel Density Estimation] [] [2014-12-15 16:02:01] [b22ed12f8980e34362f6926e9ebd1315] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
8
18
12
24
16
19
16
15
28
21
18
22
19
22
25
20
16
19
18
26
24
20
19
19
23
18
16
18
21
20
15
19
19
7
20
20
19
19
20
18
14
17
17
8
9
22
20
20
22
22
22
16
14
24
21
20
20
18
14
19
24
19
16
16
16
14
22
21
15
14
15
14
20
21
14
16
13
26
13
18
15
18
21
17
18
20
18
25
20
19
18
12
22
16
18
23
20
20
16
22
19
23
6
19
24
19
15
18
18
22
23
18
17
6
22
20
16
16
17
20
23
18
13
22
20
20
13
16
25
16
15
19
19
24
9
22
15
22
22
24
12
21
25
26
21
14
28
21
16
16
25
21
22
9
20
19
24
22
22
12
17
18
10
22
24
18
18
23
21
21
28
17
21
21
20
18
17
7
17
14
18
14
23
20
14
17
21
23
24
21
14
24
16
21
8
17
18
17
16
22
17
21
20
20
19
8
19
11
13
18
19
23
20
22
19
16
11
21
14
21
20
21
20
19
19
18
20
21
22
19
23
16
23
18
23
20
20
23
13
21
26
18
19
18
18
19
13
10
21
24
21
23
18
11
16
20
20
26
21
12
15
18
14
18
16
19
7
21
24
21
20
22
17
19
20
16
20
16

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Sir Ronald Aylmer Fisher' @ fisher.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 & 3 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=268689&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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=268689&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=268689&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 time3 seconds
R Server'Sir Ronald Aylmer Fisher' @ fisher.wessa.net






Properties of Density Trace
Bandwidth1.089679438726
#Observations278

\begin{tabular}{lllllllll}
\hline
Properties of Density Trace \tabularnewline
Bandwidth & 1.089679438726 \tabularnewline
#Observations & 278 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=268689&T=1

[TABLE]
[ROW][C]Properties of Density Trace[/C][/ROW]
[ROW][C]Bandwidth[/C][C]1.089679438726[/C][/ROW]
[ROW][C]#Observations[/C][C]278[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=268689&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=268689&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
Bandwidth1.089679438726
#Observations278






Maximum Density Values
Kernelx-valuemax. density
Gaussian19.65275663412310.110545047541379
Epanechnikov19.87614666647030.111629103803418
Rectangular19.37351909368910.118164632873136
Triangular19.98784168264390.113280864961984
Biweight19.65275663412310.110701611255821
Cosine19.65275663412310.110708046253376
Optcosine19.87614666647030.111387505507797

\begin{tabular}{lllllllll}
\hline
Maximum Density Values \tabularnewline
Kernel & x-value & max. density \tabularnewline
Gaussian & 19.6527566341231 & 0.110545047541379 \tabularnewline
Epanechnikov & 19.8761466664703 & 0.111629103803418 \tabularnewline
Rectangular & 19.3735190936891 & 0.118164632873136 \tabularnewline
Triangular & 19.9878416826439 & 0.113280864961984 \tabularnewline
Biweight & 19.6527566341231 & 0.110701611255821 \tabularnewline
Cosine & 19.6527566341231 & 0.110708046253376 \tabularnewline
Optcosine & 19.8761466664703 & 0.111387505507797 \tabularnewline
 \hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=268689&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]19.6527566341231[/C][C]0.110545047541379[/C][/ROW]
[ROW][C]Epanechnikov[/C][C]19.8761466664703[/C][C]0.111629103803418[/C][/ROW]
[ROW][C]Rectangular[/C][C]19.3735190936891[/C][C]0.118164632873136[/C][/ROW]
[ROW][C]Triangular[/C][C]19.9878416826439[/C][C]0.113280864961984[/C][/ROW]
[ROW][C]Biweight[/C][C]19.6527566341231[/C][C]0.110701611255821[/C][/ROW]
[ROW][C]Cosine[/C][C]19.6527566341231[/C][C]0.110708046253376[/C][/ROW]
[ROW][C]Optcosine[/C][C]19.8761466664703[/C][C]0.111387505507797[/C][/ROW]
 [/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=268689&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=268689&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
Gaussian19.65275663412310.110545047541379
Epanechnikov19.87614666647030.111629103803418
Rectangular19.37351909368910.118164632873136
Triangular19.98784168264390.113280864961984
Biweight19.65275663412310.110701611255821
Cosine19.65275663412310.110708046253376
Optcosine19.87614666647030.111387505507797






Maximum Density Values
Kernelx-valuemax. density
Gaussian19.65275663412310.110545047541379
Epanechnikov19.87614666647030.111629103803418
Rectangular19.42936660177590.118164632873136
Triangular19.98784168264390.113280864961984
Biweight19.65275663412310.110701611255821
Cosine19.65275663412310.110708046253376
Optcosine19.87614666647030.111387505507797

\begin{tabular}{lllllllll}
\hline
Maximum Density Values \tabularnewline
Kernel & x-value & max. density \tabularnewline
Gaussian & 19.6527566341231 & 0.110545047541379 \tabularnewline
Epanechnikov & 19.8761466664703 & 0.111629103803418 \tabularnewline
Rectangular & 19.4293666017759 & 0.118164632873136 \tabularnewline
Triangular & 19.9878416826439 & 0.113280864961984 \tabularnewline
Biweight & 19.6527566341231 & 0.110701611255821 \tabularnewline
Cosine & 19.6527566341231 & 0.110708046253376 \tabularnewline
Optcosine & 19.8761466664703 & 0.111387505507797 \tabularnewline
 \hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=268689&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]19.6527566341231[/C][C]0.110545047541379[/C][/ROW]
[ROW][C]Epanechnikov[/C][C]19.8761466664703[/C][C]0.111629103803418[/C][/ROW]
[ROW][C]Rectangular[/C][C]19.4293666017759[/C][C]0.118164632873136[/C][/ROW]
[ROW][C]Triangular[/C][C]19.9878416826439[/C][C]0.113280864961984[/C][/ROW]
[ROW][C]Biweight[/C][C]19.6527566341231[/C][C]0.110701611255821[/C][/ROW]
[ROW][C]Cosine[/C][C]19.6527566341231[/C][C]0.110708046253376[/C][/ROW]
[ROW][C]Optcosine[/C][C]19.8761466664703[/C][C]0.111387505507797[/C][/ROW]
 [/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=268689&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=268689&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
Gaussian19.65275663412310.110545047541379
Epanechnikov19.87614666647030.111629103803418
Rectangular19.42936660177590.118164632873136
Triangular19.98784168264390.113280864961984
Biweight19.65275663412310.110701611255821
Cosine19.65275663412310.110708046253376
Optcosine19.87614666647030.111387505507797






Maximum Density Values
Kernelx-valuemax. density
Gaussian19.65275663412310.110545047541379
Epanechnikov19.87614666647030.111629103803418
Rectangular19.48521410986270.118164632873136
Triangular19.98784168264390.113280864961984
Biweight19.65275663412310.110701611255821
Cosine19.65275663412310.110708046253376
Optcosine19.87614666647030.111387505507797

\begin{tabular}{lllllllll}
\hline
Maximum Density Values \tabularnewline
Kernel & x-value & max. density \tabularnewline
Gaussian & 19.6527566341231 & 0.110545047541379 \tabularnewline
Epanechnikov & 19.8761466664703 & 0.111629103803418 \tabularnewline
Rectangular & 19.4852141098627 & 0.118164632873136 \tabularnewline
Triangular & 19.9878416826439 & 0.113280864961984 \tabularnewline
Biweight & 19.6527566341231 & 0.110701611255821 \tabularnewline
Cosine & 19.6527566341231 & 0.110708046253376 \tabularnewline
Optcosine & 19.8761466664703 & 0.111387505507797 \tabularnewline
 \hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=268689&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]19.6527566341231[/C][C]0.110545047541379[/C][/ROW]
[ROW][C]Epanechnikov[/C][C]19.8761466664703[/C][C]0.111629103803418[/C][/ROW]
[ROW][C]Rectangular[/C][C]19.4852141098627[/C][C]0.118164632873136[/C][/ROW]
[ROW][C]Triangular[/C][C]19.9878416826439[/C][C]0.113280864961984[/C][/ROW]
[ROW][C]Biweight[/C][C]19.6527566341231[/C][C]0.110701611255821[/C][/ROW]
[ROW][C]Cosine[/C][C]19.6527566341231[/C][C]0.110708046253376[/C][/ROW]
[ROW][C]Optcosine[/C][C]19.8761466664703[/C][C]0.111387505507797[/C][/ROW]
 [/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=268689&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=268689&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
Gaussian19.65275663412310.110545047541379
Epanechnikov19.87614666647030.111629103803418
Rectangular19.48521410986270.118164632873136
Triangular19.98784168264390.113280864961984
Biweight19.65275663412310.110701611255821
Cosine19.65275663412310.110708046253376
Optcosine19.87614666647030.111387505507797






Maximum Density Values
Kernelx-valuemax. density
Gaussian19.65275663412310.110545047541379
Epanechnikov19.87614666647030.111629103803418
Rectangular19.54106161794950.118164632873136
Triangular19.98784168264390.113280864961984
Biweight19.65275663412310.110701611255821
Cosine19.65275663412310.110708046253376
Optcosine19.87614666647030.111387505507797

\begin{tabular}{lllllllll}
\hline
Maximum Density Values \tabularnewline
Kernel & x-value & max. density \tabularnewline
Gaussian & 19.6527566341231 & 0.110545047541379 \tabularnewline
Epanechnikov & 19.8761466664703 & 0.111629103803418 \tabularnewline
Rectangular & 19.5410616179495 & 0.118164632873136 \tabularnewline
Triangular & 19.9878416826439 & 0.113280864961984 \tabularnewline
Biweight & 19.6527566341231 & 0.110701611255821 \tabularnewline
Cosine & 19.6527566341231 & 0.110708046253376 \tabularnewline
Optcosine & 19.8761466664703 & 0.111387505507797 \tabularnewline
 \hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=268689&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]19.6527566341231[/C][C]0.110545047541379[/C][/ROW]
[ROW][C]Epanechnikov[/C][C]19.8761466664703[/C][C]0.111629103803418[/C][/ROW]
[ROW][C]Rectangular[/C][C]19.5410616179495[/C][C]0.118164632873136[/C][/ROW]
[ROW][C]Triangular[/C][C]19.9878416826439[/C][C]0.113280864961984[/C][/ROW]
[ROW][C]Biweight[/C][C]19.6527566341231[/C][C]0.110701611255821[/C][/ROW]
[ROW][C]Cosine[/C][C]19.6527566341231[/C][C]0.110708046253376[/C][/ROW]
[ROW][C]Optcosine[/C][C]19.8761466664703[/C][C]0.111387505507797[/C][/ROW]
 [/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=268689&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=268689&T=5

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
Gaussian19.65275663412310.110545047541379
Epanechnikov19.87614666647030.111629103803418
Rectangular19.54106161794950.118164632873136
Triangular19.98784168264390.113280864961984
Biweight19.65275663412310.110701611255821
Cosine19.65275663412310.110708046253376
Optcosine19.87614666647030.111387505507797






Maximum Density Values
Kernelx-valuemax. density
Gaussian19.65275663412310.110545047541379
Epanechnikov19.87614666647030.111629103803418
Rectangular19.65275663412310.118164632873136
Triangular19.98784168264390.113280864961984
Biweight19.65275663412310.110701611255821
Cosine19.65275663412310.110708046253376
Optcosine19.87614666647030.111387505507797

\begin{tabular}{lllllllll}
\hline
Maximum Density Values \tabularnewline
Kernel & x-value & max. density \tabularnewline
Gaussian & 19.6527566341231 & 0.110545047541379 \tabularnewline
Epanechnikov & 19.8761466664703 & 0.111629103803418 \tabularnewline
Rectangular & 19.6527566341231 & 0.118164632873136 \tabularnewline
Triangular & 19.9878416826439 & 0.113280864961984 \tabularnewline
Biweight & 19.6527566341231 & 0.110701611255821 \tabularnewline
Cosine & 19.6527566341231 & 0.110708046253376 \tabularnewline
Optcosine & 19.8761466664703 & 0.111387505507797 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=268689&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]19.6527566341231[/C][C]0.110545047541379[/C][/ROW]
[ROW][C]Epanechnikov[/C][C]19.8761466664703[/C][C]0.111629103803418[/C][/ROW]
[ROW][C]Rectangular[/C][C]19.6527566341231[/C][C]0.118164632873136[/C][/ROW]
[ROW][C]Triangular[/C][C]19.9878416826439[/C][C]0.113280864961984[/C][/ROW]
[ROW][C]Biweight[/C][C]19.6527566341231[/C][C]0.110701611255821[/C][/ROW]
[ROW][C]Cosine[/C][C]19.6527566341231[/C][C]0.110708046253376[/C][/ROW]
[ROW][C]Optcosine[/C][C]19.8761466664703[/C][C]0.111387505507797[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=268689&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=268689&T=6

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
Gaussian19.65275663412310.110545047541379
Epanechnikov19.87614666647030.111629103803418
Rectangular19.65275663412310.118164632873136
Triangular19.98784168264390.113280864961984
Biweight19.65275663412310.110701611255821
Cosine19.65275663412310.110708046253376
Optcosine19.87614666647030.111387505507797


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')
}