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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 16:30:20 +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/t14186610500mxofuwjky4k4u6.htm/, Retrieved Thu, 16 May 2024 18:24:03 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=268721, Retrieved Thu, 16 May 2024 18:24:03 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact81

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Cronbach Alpha] [] [2014-12-14 22:25:21] [2b9d0c54c8c845c625e475ed5f1f3af1]
-    D  [Cronbach Alpha] [] [2014-12-14 23:28:38] [2b9d0c54c8c845c625e475ed5f1f3af1]
- RMPD    [Maximum-likelihood Fitting - Normal Distribution] [] [2014-12-15 13:26:13] [2b9d0c54c8c845c625e475ed5f1f3af1]
-    D      [Maximum-likelihood Fitting - Normal Distribution] [] [2014-12-15 14:08:02] [2b9d0c54c8c845c625e475ed5f1f3af1]
- RM          [Maximum-likelihood Fitting - Normal Distribution] [] [2014-12-15 14:08:41] [2b9d0c54c8c845c625e475ed5f1f3af1]
- RM D          [Maximum-likelihood Fitting - Normal Distribution] [] [2014-12-15 16:14:57] [2b9d0c54c8c845c625e475ed5f1f3af1]
- RMP             [Percentiles] [] [2014-12-15 16:22:39] [2b9d0c54c8c845c625e475ed5f1f3af1]
- RM                [Tukey lambda PPCC Plot] [] [2014-12-15 16:26:30] [2b9d0c54c8c845c625e475ed5f1f3af1]
- RMP                   [Kernel Density Estimation] [] [2014-12-15 16:30:20] [b22ed12f8980e34362f6926e9ebd1315] [Current]
- RMP                     [Maximum-likelihood Fitting - Normal Distribution] [] [2014-12-15 16:35:22] [2b9d0c54c8c845c625e475ed5f1f3af1]
- R  D                      [Maximum-likelihood Fitting - Normal Distribution] [] [2014-12-15 17:24:27] [2b9d0c54c8c845c625e475ed5f1f3af1]
- RMP                         [Percentiles] [] [2014-12-15 17:27:50] [2b9d0c54c8c845c625e475ed5f1f3af1]
- RM                            [Percentiles] [] [2014-12-15 17:28:11] [2b9d0c54c8c845c625e475ed5f1f3af1]
- RM                              [Tukey lambda PPCC Plot] [] [2014-12-15 17:35:55] [2b9d0c54c8c845c625e475ed5f1f3af1]
- RM                                [Kernel Density Estimation] [] [2014-12-15 17:40:21] [2b9d0c54c8c845c625e475ed5f1f3af1]
-                                     [Kernel Density Estimation] [] [2014-12-15 17:42:13] [2b9d0c54c8c845c625e475ed5f1f3af1]
- RM D                                  [Maximum-likelihood Fitting - Normal Distribution] [] [2014-12-15 17:47:00] [2b9d0c54c8c845c625e475ed5f1f3af1]
- RM                                      [Percentiles] [] [2014-12-15 17:50:51] [2b9d0c54c8c845c625e475ed5f1f3af1]
- RM                                        [Tukey lambda PPCC Plot] [] [2014-12-15 17:56:56] [2b9d0c54c8c845c625e475ed5f1f3af1]
- RM                                        [Kernel Density Estimation] [] [2014-12-15 18:08:51] [2b9d0c54c8c845c625e475ed5f1f3af1]
- RM D                                        [Maximum-likelihood Fitting - Normal Distribution] [] [2014-12-15 18:36:43] [2b9d0c54c8c845c625e475ed5f1f3af1]
- RM D                                        [Percentiles] [] [2014-12-15 18:50:26] [2b9d0c54c8c845c625e475ed5f1f3af1]
- RM D                                        [Tukey lambda PPCC Plot] [] [2014-12-15 18:51:10] [2b9d0c54c8c845c625e475ed5f1f3af1]
- RM D                                          [Notched Boxplots] [] [2014-12-15 19:44:02] [2b9d0c54c8c845c625e475ed5f1f3af1]
-    D                                        [Kernel Density Estimation] [] [2014-12-15 18:53:06] [2b9d0c54c8c845c625e475ed5f1f3af1]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
7
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28
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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=268721&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=268721&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=268721&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
Bandwidth1.28282315337581
#Observations278

\begin{tabular}{lllllllll}
\hline
Properties of Density Trace \tabularnewline
Bandwidth & 1.28282315337581 \tabularnewline
#Observations & 278 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=268721&T=1

[TABLE]
[ROW][C]Properties of Density Trace[/C][/ROW]
[ROW][C]Bandwidth[/C][C]1.28282315337581[/C][/ROW]
[ROW][C]#Observations[/C][C]278[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=268721&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=268721&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
Bandwidth1.28282315337581
#Observations278






Maximum Density Values
Kernelx-valuemax. density
Gaussian16.21710232137160.0855637442987662
Epanechnikov16.4652192600820.0834167019858972
Rectangular14.85245915846440.0898505562373587
Triangular16.03101461733880.0851261011576229
Biweight16.27913155604920.0836739134628506
Cosine16.21710232137160.0840285701204999
Optcosine16.4652192600820.0836098642244018

\begin{tabular}{lllllllll}
\hline
Maximum Density Values \tabularnewline
Kernel & x-value & max. density \tabularnewline
Gaussian & 16.2171023213716 & 0.0855637442987662 \tabularnewline
Epanechnikov & 16.465219260082 & 0.0834167019858972 \tabularnewline
Rectangular & 14.8524591584644 & 0.0898505562373587 \tabularnewline
Triangular & 16.0310146173388 & 0.0851261011576229 \tabularnewline
Biweight & 16.2791315560492 & 0.0836739134628506 \tabularnewline
Cosine & 16.2171023213716 & 0.0840285701204999 \tabularnewline
Optcosine & 16.465219260082 & 0.0836098642244018 \tabularnewline
 \hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=268721&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]16.2171023213716[/C][C]0.0855637442987662[/C][/ROW]
[ROW][C]Epanechnikov[/C][C]16.465219260082[/C][C]0.0834167019858972[/C][/ROW]
[ROW][C]Rectangular[/C][C]14.8524591584644[/C][C]0.0898505562373587[/C][/ROW]
[ROW][C]Triangular[/C][C]16.0310146173388[/C][C]0.0851261011576229[/C][/ROW]
[ROW][C]Biweight[/C][C]16.2791315560492[/C][C]0.0836739134628506[/C][/ROW]
[ROW][C]Cosine[/C][C]16.2171023213716[/C][C]0.0840285701204999[/C][/ROW]
[ROW][C]Optcosine[/C][C]16.465219260082[/C][C]0.0836098642244018[/C][/ROW]
 [/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=268721&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=268721&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
Gaussian16.21710232137160.0855637442987662
Epanechnikov16.4652192600820.0834167019858972
Rectangular14.85245915846440.0898505562373587
Triangular16.03101461733880.0851261011576229
Biweight16.27913155604920.0836739134628506
Cosine16.21710232137160.0840285701204999
Optcosine16.4652192600820.0836098642244018






Maximum Density Values
Kernelx-valuemax. density
Gaussian16.21710232137160.0855637442987662
Epanechnikov16.4652192600820.0834167019858972
Rectangular14.9144883931420.0898505562373587
Triangular16.03101461733880.0851261011576229
Biweight16.27913155604920.0836739134628506
Cosine16.21710232137160.0840285701204999
Optcosine16.4652192600820.0836098642244018

\begin{tabular}{lllllllll}
\hline
Maximum Density Values \tabularnewline
Kernel & x-value & max. density \tabularnewline
Gaussian & 16.2171023213716 & 0.0855637442987662 \tabularnewline
Epanechnikov & 16.465219260082 & 0.0834167019858972 \tabularnewline
Rectangular & 14.914488393142 & 0.0898505562373587 \tabularnewline
Triangular & 16.0310146173388 & 0.0851261011576229 \tabularnewline
Biweight & 16.2791315560492 & 0.0836739134628506 \tabularnewline
Cosine & 16.2171023213716 & 0.0840285701204999 \tabularnewline
Optcosine & 16.465219260082 & 0.0836098642244018 \tabularnewline
 \hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=268721&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]16.2171023213716[/C][C]0.0855637442987662[/C][/ROW]
[ROW][C]Epanechnikov[/C][C]16.465219260082[/C][C]0.0834167019858972[/C][/ROW]
[ROW][C]Rectangular[/C][C]14.914488393142[/C][C]0.0898505562373587[/C][/ROW]
[ROW][C]Triangular[/C][C]16.0310146173388[/C][C]0.0851261011576229[/C][/ROW]
[ROW][C]Biweight[/C][C]16.2791315560492[/C][C]0.0836739134628506[/C][/ROW]
[ROW][C]Cosine[/C][C]16.2171023213716[/C][C]0.0840285701204999[/C][/ROW]
[ROW][C]Optcosine[/C][C]16.465219260082[/C][C]0.0836098642244018[/C][/ROW]
 [/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=268721&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=268721&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
Gaussian16.21710232137160.0855637442987662
Epanechnikov16.4652192600820.0834167019858972
Rectangular14.9144883931420.0898505562373587
Triangular16.03101461733880.0851261011576229
Biweight16.27913155604920.0836739134628506
Cosine16.21710232137160.0840285701204999
Optcosine16.4652192600820.0836098642244018






Maximum Density Values
Kernelx-valuemax. density
Gaussian16.21710232137160.0855637442987662
Epanechnikov16.4652192600820.0834167019858972
Rectangular14.97651762781960.0898505562373587
Triangular16.03101461733880.0851261011576229
Biweight16.27913155604920.0836739134628506
Cosine16.21710232137160.0840285701204999
Optcosine16.4652192600820.0836098642244018

\begin{tabular}{lllllllll}
\hline
Maximum Density Values \tabularnewline
Kernel & x-value & max. density \tabularnewline
Gaussian & 16.2171023213716 & 0.0855637442987662 \tabularnewline
Epanechnikov & 16.465219260082 & 0.0834167019858972 \tabularnewline
Rectangular & 14.9765176278196 & 0.0898505562373587 \tabularnewline
Triangular & 16.0310146173388 & 0.0851261011576229 \tabularnewline
Biweight & 16.2791315560492 & 0.0836739134628506 \tabularnewline
Cosine & 16.2171023213716 & 0.0840285701204999 \tabularnewline
Optcosine & 16.465219260082 & 0.0836098642244018 \tabularnewline
 \hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=268721&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]16.2171023213716[/C][C]0.0855637442987662[/C][/ROW]
[ROW][C]Epanechnikov[/C][C]16.465219260082[/C][C]0.0834167019858972[/C][/ROW]
[ROW][C]Rectangular[/C][C]14.9765176278196[/C][C]0.0898505562373587[/C][/ROW]
[ROW][C]Triangular[/C][C]16.0310146173388[/C][C]0.0851261011576229[/C][/ROW]
[ROW][C]Biweight[/C][C]16.2791315560492[/C][C]0.0836739134628506[/C][/ROW]
[ROW][C]Cosine[/C][C]16.2171023213716[/C][C]0.0840285701204999[/C][/ROW]
[ROW][C]Optcosine[/C][C]16.465219260082[/C][C]0.0836098642244018[/C][/ROW]
 [/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=268721&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=268721&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
Gaussian16.21710232137160.0855637442987662
Epanechnikov16.4652192600820.0834167019858972
Rectangular14.97651762781960.0898505562373587
Triangular16.03101461733880.0851261011576229
Biweight16.27913155604920.0836739134628506
Cosine16.21710232137160.0840285701204999
Optcosine16.4652192600820.0836098642244018






Maximum Density Values
Kernelx-valuemax. density
Gaussian16.21710232137160.0855637442987662
Epanechnikov16.4652192600820.0834167019858972
Rectangular15.03854686249720.0898505562373587
Triangular16.03101461733880.0851261011576229
Biweight16.27913155604920.0836739134628506
Cosine16.21710232137160.0840285701204999
Optcosine16.4652192600820.0836098642244018

\begin{tabular}{lllllllll}
\hline
Maximum Density Values \tabularnewline
Kernel & x-value & max. density \tabularnewline
Gaussian & 16.2171023213716 & 0.0855637442987662 \tabularnewline
Epanechnikov & 16.465219260082 & 0.0834167019858972 \tabularnewline
Rectangular & 15.0385468624972 & 0.0898505562373587 \tabularnewline
Triangular & 16.0310146173388 & 0.0851261011576229 \tabularnewline
Biweight & 16.2791315560492 & 0.0836739134628506 \tabularnewline
Cosine & 16.2171023213716 & 0.0840285701204999 \tabularnewline
Optcosine & 16.465219260082 & 0.0836098642244018 \tabularnewline
 \hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=268721&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]16.2171023213716[/C][C]0.0855637442987662[/C][/ROW]
[ROW][C]Epanechnikov[/C][C]16.465219260082[/C][C]0.0834167019858972[/C][/ROW]
[ROW][C]Rectangular[/C][C]15.0385468624972[/C][C]0.0898505562373587[/C][/ROW]
[ROW][C]Triangular[/C][C]16.0310146173388[/C][C]0.0851261011576229[/C][/ROW]
[ROW][C]Biweight[/C][C]16.2791315560492[/C][C]0.0836739134628506[/C][/ROW]
[ROW][C]Cosine[/C][C]16.2171023213716[/C][C]0.0840285701204999[/C][/ROW]
[ROW][C]Optcosine[/C][C]16.465219260082[/C][C]0.0836098642244018[/C][/ROW]
 [/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=268721&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=268721&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
Gaussian16.21710232137160.0855637442987662
Epanechnikov16.4652192600820.0834167019858972
Rectangular15.03854686249720.0898505562373587
Triangular16.03101461733880.0851261011576229
Biweight16.27913155604920.0836739134628506
Cosine16.21710232137160.0840285701204999
Optcosine16.4652192600820.0836098642244018






Maximum Density Values
Kernelx-valuemax. density
Gaussian16.21710232137160.0855637442987662
Epanechnikov16.4652192600820.0834167019858972
Rectangular15.10057609717480.0898505562373587
Triangular16.03101461733880.0851261011576229
Biweight16.27913155604920.0836739134628506
Cosine16.21710232137160.0840285701204999
Optcosine16.4652192600820.0836098642244018

\begin{tabular}{lllllllll}
\hline
Maximum Density Values \tabularnewline
Kernel & x-value & max. density \tabularnewline
Gaussian & 16.2171023213716 & 0.0855637442987662 \tabularnewline
Epanechnikov & 16.465219260082 & 0.0834167019858972 \tabularnewline
Rectangular & 15.1005760971748 & 0.0898505562373587 \tabularnewline
Triangular & 16.0310146173388 & 0.0851261011576229 \tabularnewline
Biweight & 16.2791315560492 & 0.0836739134628506 \tabularnewline
Cosine & 16.2171023213716 & 0.0840285701204999 \tabularnewline
Optcosine & 16.465219260082 & 0.0836098642244018 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=268721&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]16.2171023213716[/C][C]0.0855637442987662[/C][/ROW]
[ROW][C]Epanechnikov[/C][C]16.465219260082[/C][C]0.0834167019858972[/C][/ROW]
[ROW][C]Rectangular[/C][C]15.1005760971748[/C][C]0.0898505562373587[/C][/ROW]
[ROW][C]Triangular[/C][C]16.0310146173388[/C][C]0.0851261011576229[/C][/ROW]
[ROW][C]Biweight[/C][C]16.2791315560492[/C][C]0.0836739134628506[/C][/ROW]
[ROW][C]Cosine[/C][C]16.2171023213716[/C][C]0.0840285701204999[/C][/ROW]
[ROW][C]Optcosine[/C][C]16.465219260082[/C][C]0.0836098642244018[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=268721&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=268721&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
Gaussian16.21710232137160.0855637442987662
Epanechnikov16.4652192600820.0834167019858972
Rectangular15.10057609717480.0898505562373587
Triangular16.03101461733880.0851261011576229
Biweight16.27913155604920.0836739134628506
Cosine16.21710232137160.0840285701204999
Optcosine16.4652192600820.0836098642244018


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')
}