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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 computationTue, 12 Feb 2013 10:09:40 -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/2013/Feb/12/t13606818533c5ytmcqystdigf.htm/, Retrieved Mon, 29 Apr 2024 02:13:16 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=206375, Retrieved Mon, 29 Apr 2024 02:13:16 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact68

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] [] [2013-02-12 15:09:40] [bda1405f45fc71f9cfac8f9f3e5dea22] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
120.6
119.9
119.48
117.45
118.37
117.07
114.98
112.59
111.7
112.04
110.79
109.82
109.11
109.84
109.31
108.29
107.42
106.71
105.11
104.43
105.55
106.12
105.78
105.33
104.63
104.62
105.57
107.5
107.52
107.76
106.74
106.21
105.77
105.27
104.35
103.52
102.28
100.93
101.04
99.95
99.55
99.56
99.01
98.64
98.98
100.8
100.32
100.72
280.8
280.4
280.4
280.3
281
280.9
279.7
283.1
290.6
291.6
291.7
291.8
291.7
291.5
291.7
293.4
293.1
293.1
292.6
292.1
292.2
292
292.1
293.4
292.2
292.1
291.6
290.9
290.9
290.8
290.5
290
290.2
290.1

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time6 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 & 6 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=206375&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]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=206375&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=206375&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 time6 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net






Properties of Density Trace
Bandwidth33.7070529211558
#Observations82

\begin{tabular}{lllllllll}
\hline
Properties of Density Trace \tabularnewline
Bandwidth & 33.7070529211558 \tabularnewline
#Observations & 82 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=206375&T=1

[TABLE]
[ROW][C]Properties of Density Trace[/C][/ROW]
[ROW][C]Bandwidth[/C][C]33.7070529211558[/C][/ROW]
[ROW][C]#Observations[/C][C]82[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=206375&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=206375&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
Bandwidth33.7070529211558
#Observations82






Maximum Density Values
Kernelx-valuemax. density
Gaussian107.0635120218510.00682299084758572
Epanechnikov107.0635120218510.00578869769124674
Rectangular64.33332128998930.00501321094393355
Triangular106.286599463090.00670062499816766
Biweight107.0635120218510.0060994071758836
Cosine107.0635120218510.0062159141333196
Optcosine107.0635120218510.00589349825970564

\begin{tabular}{lllllllll}
\hline
Maximum Density Values \tabularnewline
Kernel & x-value & max. density \tabularnewline
Gaussian & 107.063512021851 & 0.00682299084758572 \tabularnewline
Epanechnikov & 107.063512021851 & 0.00578869769124674 \tabularnewline
Rectangular & 64.3333212899893 & 0.00501321094393355 \tabularnewline
Triangular & 106.28659946309 & 0.00670062499816766 \tabularnewline
Biweight & 107.063512021851 & 0.0060994071758836 \tabularnewline
Cosine & 107.063512021851 & 0.0062159141333196 \tabularnewline
Optcosine & 107.063512021851 & 0.00589349825970564 \tabularnewline
 \hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=206375&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]107.063512021851[/C][C]0.00682299084758572[/C][/ROW]
[ROW][C]Epanechnikov[/C][C]107.063512021851[/C][C]0.00578869769124674[/C][/ROW]
[ROW][C]Rectangular[/C][C]64.3333212899893[/C][C]0.00501321094393355[/C][/ROW]
[ROW][C]Triangular[/C][C]106.28659946309[/C][C]0.00670062499816766[/C][/ROW]
[ROW][C]Biweight[/C][C]107.063512021851[/C][C]0.0060994071758836[/C][/ROW]
[ROW][C]Cosine[/C][C]107.063512021851[/C][C]0.0062159141333196[/C][/ROW]
[ROW][C]Optcosine[/C][C]107.063512021851[/C][C]0.00589349825970564[/C][/ROW]
 [/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=206375&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=206375&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
Gaussian107.0635120218510.00682299084758572
Epanechnikov107.0635120218510.00578869769124674
Rectangular64.33332128998930.00501321094393355
Triangular106.286599463090.00670062499816766
Biweight107.0635120218510.0060994071758836
Cosine107.0635120218510.0062159141333196
Optcosine107.0635120218510.00589349825970564






Maximum Density Values
Kernelx-valuemax. density
Gaussian107.0635120218510.00682299084758572
Epanechnikov107.0635120218510.00578869769124674
Rectangular65.11023384875040.00501321094393355
Triangular106.286599463090.00670062499816766
Biweight107.0635120218510.0060994071758836
Cosine107.0635120218510.0062159141333196
Optcosine107.0635120218510.00589349825970564

\begin{tabular}{lllllllll}
\hline
Maximum Density Values \tabularnewline
Kernel & x-value & max. density \tabularnewline
Gaussian & 107.063512021851 & 0.00682299084758572 \tabularnewline
Epanechnikov & 107.063512021851 & 0.00578869769124674 \tabularnewline
Rectangular & 65.1102338487504 & 0.00501321094393355 \tabularnewline
Triangular & 106.28659946309 & 0.00670062499816766 \tabularnewline
Biweight & 107.063512021851 & 0.0060994071758836 \tabularnewline
Cosine & 107.063512021851 & 0.0062159141333196 \tabularnewline
Optcosine & 107.063512021851 & 0.00589349825970564 \tabularnewline
 \hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=206375&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]107.063512021851[/C][C]0.00682299084758572[/C][/ROW]
[ROW][C]Epanechnikov[/C][C]107.063512021851[/C][C]0.00578869769124674[/C][/ROW]
[ROW][C]Rectangular[/C][C]65.1102338487504[/C][C]0.00501321094393355[/C][/ROW]
[ROW][C]Triangular[/C][C]106.28659946309[/C][C]0.00670062499816766[/C][/ROW]
[ROW][C]Biweight[/C][C]107.063512021851[/C][C]0.0060994071758836[/C][/ROW]
[ROW][C]Cosine[/C][C]107.063512021851[/C][C]0.0062159141333196[/C][/ROW]
[ROW][C]Optcosine[/C][C]107.063512021851[/C][C]0.00589349825970564[/C][/ROW]
 [/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=206375&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=206375&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
Gaussian107.0635120218510.00682299084758572
Epanechnikov107.0635120218510.00578869769124674
Rectangular65.11023384875040.00501321094393355
Triangular106.286599463090.00670062499816766
Biweight107.0635120218510.0060994071758836
Cosine107.0635120218510.0062159141333196
Optcosine107.0635120218510.00589349825970564






Maximum Density Values
Kernelx-valuemax. density
Gaussian107.0635120218510.00682299084758572
Epanechnikov107.0635120218510.00578869769124674
Rectangular69.77170920131720.00501321094393355
Triangular106.286599463090.00670062499816766
Biweight107.0635120218510.0060994071758836
Cosine107.0635120218510.0062159141333196
Optcosine107.0635120218510.00589349825970564

\begin{tabular}{lllllllll}
\hline
Maximum Density Values \tabularnewline
Kernel & x-value & max. density \tabularnewline
Gaussian & 107.063512021851 & 0.00682299084758572 \tabularnewline
Epanechnikov & 107.063512021851 & 0.00578869769124674 \tabularnewline
Rectangular & 69.7717092013172 & 0.00501321094393355 \tabularnewline
Triangular & 106.28659946309 & 0.00670062499816766 \tabularnewline
Biweight & 107.063512021851 & 0.0060994071758836 \tabularnewline
Cosine & 107.063512021851 & 0.0062159141333196 \tabularnewline
Optcosine & 107.063512021851 & 0.00589349825970564 \tabularnewline
 \hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=206375&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]107.063512021851[/C][C]0.00682299084758572[/C][/ROW]
[ROW][C]Epanechnikov[/C][C]107.063512021851[/C][C]0.00578869769124674[/C][/ROW]
[ROW][C]Rectangular[/C][C]69.7717092013172[/C][C]0.00501321094393355[/C][/ROW]
[ROW][C]Triangular[/C][C]106.28659946309[/C][C]0.00670062499816766[/C][/ROW]
[ROW][C]Biweight[/C][C]107.063512021851[/C][C]0.0060994071758836[/C][/ROW]
[ROW][C]Cosine[/C][C]107.063512021851[/C][C]0.0062159141333196[/C][/ROW]
[ROW][C]Optcosine[/C][C]107.063512021851[/C][C]0.00589349825970564[/C][/ROW]
 [/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=206375&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=206375&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
Gaussian107.0635120218510.00682299084758572
Epanechnikov107.0635120218510.00578869769124674
Rectangular69.77170920131720.00501321094393355
Triangular106.286599463090.00670062499816766
Biweight107.0635120218510.0060994071758836
Cosine107.0635120218510.0062159141333196
Optcosine107.0635120218510.00589349825970564






Maximum Density Values
Kernelx-valuemax. density
Gaussian107.0635120218510.00682299084758572
Epanechnikov107.0635120218510.00578869769124674
Rectangular70.54862176007830.00501321094393355
Triangular106.286599463090.00670062499816766
Biweight107.0635120218510.0060994071758836
Cosine107.0635120218510.0062159141333196
Optcosine107.0635120218510.00589349825970564

\begin{tabular}{lllllllll}
\hline
Maximum Density Values \tabularnewline
Kernel & x-value & max. density \tabularnewline
Gaussian & 107.063512021851 & 0.00682299084758572 \tabularnewline
Epanechnikov & 107.063512021851 & 0.00578869769124674 \tabularnewline
Rectangular & 70.5486217600783 & 0.00501321094393355 \tabularnewline
Triangular & 106.28659946309 & 0.00670062499816766 \tabularnewline
Biweight & 107.063512021851 & 0.0060994071758836 \tabularnewline
Cosine & 107.063512021851 & 0.0062159141333196 \tabularnewline
Optcosine & 107.063512021851 & 0.00589349825970564 \tabularnewline
 \hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=206375&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]107.063512021851[/C][C]0.00682299084758572[/C][/ROW]
[ROW][C]Epanechnikov[/C][C]107.063512021851[/C][C]0.00578869769124674[/C][/ROW]
[ROW][C]Rectangular[/C][C]70.5486217600783[/C][C]0.00501321094393355[/C][/ROW]
[ROW][C]Triangular[/C][C]106.28659946309[/C][C]0.00670062499816766[/C][/ROW]
[ROW][C]Biweight[/C][C]107.063512021851[/C][C]0.0060994071758836[/C][/ROW]
[ROW][C]Cosine[/C][C]107.063512021851[/C][C]0.0062159141333196[/C][/ROW]
[ROW][C]Optcosine[/C][C]107.063512021851[/C][C]0.00589349825970564[/C][/ROW]
 [/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=206375&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=206375&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
Gaussian107.0635120218510.00682299084758572
Epanechnikov107.0635120218510.00578869769124674
Rectangular70.54862176007830.00501321094393355
Triangular106.286599463090.00670062499816766
Biweight107.0635120218510.0060994071758836
Cosine107.0635120218510.0062159141333196
Optcosine107.0635120218510.00589349825970564






Maximum Density Values
Kernelx-valuemax. density
Gaussian107.0635120218510.00682299084758572
Epanechnikov107.0635120218510.00578869769124674
Rectangular90.74834828786760.00501321094393355
Triangular106.286599463090.00670062499816766
Biweight107.0635120218510.0060994071758836
Cosine107.0635120218510.0062159141333196
Optcosine107.0635120218510.00589349825970564

\begin{tabular}{lllllllll}
\hline
Maximum Density Values \tabularnewline
Kernel & x-value & max. density \tabularnewline
Gaussian & 107.063512021851 & 0.00682299084758572 \tabularnewline
Epanechnikov & 107.063512021851 & 0.00578869769124674 \tabularnewline
Rectangular & 90.7483482878676 & 0.00501321094393355 \tabularnewline
Triangular & 106.28659946309 & 0.00670062499816766 \tabularnewline
Biweight & 107.063512021851 & 0.0060994071758836 \tabularnewline
Cosine & 107.063512021851 & 0.0062159141333196 \tabularnewline
Optcosine & 107.063512021851 & 0.00589349825970564 \tabularnewline
 \hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=206375&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]107.063512021851[/C][C]0.00682299084758572[/C][/ROW]
[ROW][C]Epanechnikov[/C][C]107.063512021851[/C][C]0.00578869769124674[/C][/ROW]
[ROW][C]Rectangular[/C][C]90.7483482878676[/C][C]0.00501321094393355[/C][/ROW]
[ROW][C]Triangular[/C][C]106.28659946309[/C][C]0.00670062499816766[/C][/ROW]
[ROW][C]Biweight[/C][C]107.063512021851[/C][C]0.0060994071758836[/C][/ROW]
[ROW][C]Cosine[/C][C]107.063512021851[/C][C]0.0062159141333196[/C][/ROW]
[ROW][C]Optcosine[/C][C]107.063512021851[/C][C]0.00589349825970564[/C][/ROW]
 [/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=206375&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=206375&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
Gaussian107.0635120218510.00682299084758572
Epanechnikov107.0635120218510.00578869769124674
Rectangular90.74834828786760.00501321094393355
Triangular106.286599463090.00670062499816766
Biweight107.0635120218510.0060994071758836
Cosine107.0635120218510.0062159141333196
Optcosine107.0635120218510.00589349825970564






Maximum Density Values
Kernelx-valuemax. density
Gaussian107.0635120218510.00682299084758572
Epanechnikov107.0635120218510.00578869769124674
Rectangular91.52526084662870.00501321094393355
Triangular106.286599463090.00670062499816766
Biweight107.0635120218510.0060994071758836
Cosine107.0635120218510.0062159141333196
Optcosine107.0635120218510.00589349825970564

\begin{tabular}{lllllllll}
\hline
Maximum Density Values \tabularnewline
Kernel & x-value & max. density \tabularnewline
Gaussian & 107.063512021851 & 0.00682299084758572 \tabularnewline
Epanechnikov & 107.063512021851 & 0.00578869769124674 \tabularnewline
Rectangular & 91.5252608466287 & 0.00501321094393355 \tabularnewline
Triangular & 106.28659946309 & 0.00670062499816766 \tabularnewline
Biweight & 107.063512021851 & 0.0060994071758836 \tabularnewline
Cosine & 107.063512021851 & 0.0062159141333196 \tabularnewline
Optcosine & 107.063512021851 & 0.00589349825970564 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=206375&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]107.063512021851[/C][C]0.00682299084758572[/C][/ROW]
[ROW][C]Epanechnikov[/C][C]107.063512021851[/C][C]0.00578869769124674[/C][/ROW]
[ROW][C]Rectangular[/C][C]91.5252608466287[/C][C]0.00501321094393355[/C][/ROW]
[ROW][C]Triangular[/C][C]106.28659946309[/C][C]0.00670062499816766[/C][/ROW]
[ROW][C]Biweight[/C][C]107.063512021851[/C][C]0.0060994071758836[/C][/ROW]
[ROW][C]Cosine[/C][C]107.063512021851[/C][C]0.0062159141333196[/C][/ROW]
[ROW][C]Optcosine[/C][C]107.063512021851[/C][C]0.00589349825970564[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=206375&T=7

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=206375&T=7

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
Gaussian107.0635120218510.00682299084758572
Epanechnikov107.0635120218510.00578869769124674
Rectangular91.52526084662870.00501321094393355
Triangular106.286599463090.00670062499816766
Biweight107.0635120218510.0060994071758836
Cosine107.0635120218510.0062159141333196
Optcosine107.0635120218510.00589349825970564


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')
}