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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 computationWed, 23 Oct 2013 18:35:41 -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/2013/Oct/23/t13825677508zpi2xw7uelm9yv.htm/, Retrieved Sun, 28 Apr 2024 06:51:24 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=219223, Retrieved Sun, 28 Apr 2024 06:51:24 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact68
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Tukey lambda PPCC Plot] [Intrinsic Motivat...] [2010-10-12 12:09:04] [b98453cac15ba1066b407e146608df68]
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Dataseries X:
23
20
20
21
24
22
23
20
25
23
27
27
22
24
25
22
28
28
27
25
16
28
21
24
27
14
14
27
20
21
22
21
12
20
24
19
28
23
27
22
27
26
22
21
19
24
19
26
22
28
21
23
28
10
24
21
21
24
24
25
25
23
21
16
17
25
24
23
25
23
28
26
22
19
26
18
18
25
27
12
15
21
23
22
21
24
27
22
28
26
10
19
22
21
24
25
21
20
21
24
23
18
24
24
19
20
18
20
27
23
26
23
17
21
25
23
27
24
20
27
21
24
21
15
25
25
22
24
21
22
23
22
20
23
25
23
22
25
26
22
24
24
25
20
26
21
26
21
22
16
26
28
18
25
23
21
20
25
22
21
16
18




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time5 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 & 5 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=219223&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]5 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=219223&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=219223&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 time5 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net







Properties of Density Trace
Bandwidth0.971168750326297
#Observations162

\begin{tabular}{lllllllll}
\hline
Properties of Density Trace \tabularnewline
Bandwidth & 0.971168750326297 \tabularnewline
#Observations & 162 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=219223&T=1

[TABLE]
[ROW][C]Properties of Density Trace[/C][/ROW]
[ROW][C]Bandwidth[/C][C]0.971168750326297[/C][/ROW]
[ROW][C]#Observations[/C][C]162[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=219223&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=219223&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
Bandwidth0.971168750326297
#Observations162







Maximum Density Values
Kernelx-valuemax. density
Gaussian21.77437816803620.114228588468764
Epanechnikov22.42717303110350.116574488608823
Rectangular22.38054482659870.139448309962117
Triangular22.00751919056020.118115992001026
Biweight22.10077559956980.114814958791457
Cosine22.0541473950650.114658854281611
Optcosine22.42717303110350.11549377954715

\begin{tabular}{lllllllll}
\hline
Maximum Density Values \tabularnewline
Kernel & x-value & max. density \tabularnewline
Gaussian & 21.7743781680362 & 0.114228588468764 \tabularnewline
Epanechnikov & 22.4271730311035 & 0.116574488608823 \tabularnewline
Rectangular & 22.3805448265987 & 0.139448309962117 \tabularnewline
Triangular & 22.0075191905602 & 0.118115992001026 \tabularnewline
Biweight & 22.1007755995698 & 0.114814958791457 \tabularnewline
Cosine & 22.054147395065 & 0.114658854281611 \tabularnewline
Optcosine & 22.4271730311035 & 0.11549377954715 \tabularnewline
 \hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=219223&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]21.7743781680362[/C][C]0.114228588468764[/C][/ROW]
[ROW][C]Epanechnikov[/C][C]22.4271730311035[/C][C]0.116574488608823[/C][/ROW]
[ROW][C]Rectangular[/C][C]22.3805448265987[/C][C]0.139448309962117[/C][/ROW]
[ROW][C]Triangular[/C][C]22.0075191905602[/C][C]0.118115992001026[/C][/ROW]
[ROW][C]Biweight[/C][C]22.1007755995698[/C][C]0.114814958791457[/C][/ROW]
[ROW][C]Cosine[/C][C]22.054147395065[/C][C]0.114658854281611[/C][/ROW]
[ROW][C]Optcosine[/C][C]22.4271730311035[/C][C]0.11549377954715[/C][/ROW]
 [/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=219223&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=219223&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
Gaussian21.77437816803620.114228588468764
Epanechnikov22.42717303110350.116574488608823
Rectangular22.38054482659870.139448309962117
Triangular22.00751919056020.118115992001026
Biweight22.10077559956980.114814958791457
Cosine22.0541473950650.114658854281611
Optcosine22.42717303110350.11549377954715







Maximum Density Values
Kernelx-valuemax. density
Gaussian21.77437816803620.114228588468764
Epanechnikov22.42717303110350.116574488608823
Rectangular22.42717303110350.139448309962117
Triangular22.00751919056020.118115992001026
Biweight22.10077559956980.114814958791457
Cosine22.0541473950650.114658854281611
Optcosine22.42717303110350.11549377954715

\begin{tabular}{lllllllll}
\hline
Maximum Density Values \tabularnewline
Kernel & x-value & max. density \tabularnewline
Gaussian & 21.7743781680362 & 0.114228588468764 \tabularnewline
Epanechnikov & 22.4271730311035 & 0.116574488608823 \tabularnewline
Rectangular & 22.4271730311035 & 0.139448309962117 \tabularnewline
Triangular & 22.0075191905602 & 0.118115992001026 \tabularnewline
Biweight & 22.1007755995698 & 0.114814958791457 \tabularnewline
Cosine & 22.054147395065 & 0.114658854281611 \tabularnewline
Optcosine & 22.4271730311035 & 0.11549377954715 \tabularnewline
 \hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=219223&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]21.7743781680362[/C][C]0.114228588468764[/C][/ROW]
[ROW][C]Epanechnikov[/C][C]22.4271730311035[/C][C]0.116574488608823[/C][/ROW]
[ROW][C]Rectangular[/C][C]22.4271730311035[/C][C]0.139448309962117[/C][/ROW]
[ROW][C]Triangular[/C][C]22.0075191905602[/C][C]0.118115992001026[/C][/ROW]
[ROW][C]Biweight[/C][C]22.1007755995698[/C][C]0.114814958791457[/C][/ROW]
[ROW][C]Cosine[/C][C]22.054147395065[/C][C]0.114658854281611[/C][/ROW]
[ROW][C]Optcosine[/C][C]22.4271730311035[/C][C]0.11549377954715[/C][/ROW]
 [/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=219223&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=219223&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
Gaussian21.77437816803620.114228588468764
Epanechnikov22.42717303110350.116574488608823
Rectangular22.42717303110350.139448309962117
Triangular22.00751919056020.118115992001026
Biweight22.10077559956980.114814958791457
Cosine22.0541473950650.114658854281611
Optcosine22.42717303110350.11549377954715







Maximum Density Values
Kernelx-valuemax. density
Gaussian21.77437816803620.114228588468764
Epanechnikov22.42717303110350.116574488608823
Rectangular22.56705764461790.139448309962117
Triangular22.00751919056020.118115992001026
Biweight22.10077559956980.114814958791457
Cosine22.0541473950650.114658854281611
Optcosine22.42717303110350.11549377954715

\begin{tabular}{lllllllll}
\hline
Maximum Density Values \tabularnewline
Kernel & x-value & max. density \tabularnewline
Gaussian & 21.7743781680362 & 0.114228588468764 \tabularnewline
Epanechnikov & 22.4271730311035 & 0.116574488608823 \tabularnewline
Rectangular & 22.5670576446179 & 0.139448309962117 \tabularnewline
Triangular & 22.0075191905602 & 0.118115992001026 \tabularnewline
Biweight & 22.1007755995698 & 0.114814958791457 \tabularnewline
Cosine & 22.054147395065 & 0.114658854281611 \tabularnewline
Optcosine & 22.4271730311035 & 0.11549377954715 \tabularnewline
 \hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=219223&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]21.7743781680362[/C][C]0.114228588468764[/C][/ROW]
[ROW][C]Epanechnikov[/C][C]22.4271730311035[/C][C]0.116574488608823[/C][/ROW]
[ROW][C]Rectangular[/C][C]22.5670576446179[/C][C]0.139448309962117[/C][/ROW]
[ROW][C]Triangular[/C][C]22.0075191905602[/C][C]0.118115992001026[/C][/ROW]
[ROW][C]Biweight[/C][C]22.1007755995698[/C][C]0.114814958791457[/C][/ROW]
[ROW][C]Cosine[/C][C]22.054147395065[/C][C]0.114658854281611[/C][/ROW]
[ROW][C]Optcosine[/C][C]22.4271730311035[/C][C]0.11549377954715[/C][/ROW]
 [/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=219223&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=219223&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
Gaussian21.77437816803620.114228588468764
Epanechnikov22.42717303110350.116574488608823
Rectangular22.56705764461790.139448309962117
Triangular22.00751919056020.118115992001026
Biweight22.10077559956980.114814958791457
Cosine22.0541473950650.114658854281611
Optcosine22.42717303110350.11549377954715







Maximum Density Values
Kernelx-valuemax. density
Gaussian21.77437816803620.114228588468764
Epanechnikov22.42717303110350.116574488608823
Rectangular22.61368584912280.139448309962117
Triangular22.00751919056020.118115992001026
Biweight22.10077559956980.114814958791457
Cosine22.0541473950650.114658854281611
Optcosine22.42717303110350.11549377954715

\begin{tabular}{lllllllll}
\hline
Maximum Density Values \tabularnewline
Kernel & x-value & max. density \tabularnewline
Gaussian & 21.7743781680362 & 0.114228588468764 \tabularnewline
Epanechnikov & 22.4271730311035 & 0.116574488608823 \tabularnewline
Rectangular & 22.6136858491228 & 0.139448309962117 \tabularnewline
Triangular & 22.0075191905602 & 0.118115992001026 \tabularnewline
Biweight & 22.1007755995698 & 0.114814958791457 \tabularnewline
Cosine & 22.054147395065 & 0.114658854281611 \tabularnewline
Optcosine & 22.4271730311035 & 0.11549377954715 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=219223&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]21.7743781680362[/C][C]0.114228588468764[/C][/ROW]
[ROW][C]Epanechnikov[/C][C]22.4271730311035[/C][C]0.116574488608823[/C][/ROW]
[ROW][C]Rectangular[/C][C]22.6136858491228[/C][C]0.139448309962117[/C][/ROW]
[ROW][C]Triangular[/C][C]22.0075191905602[/C][C]0.118115992001026[/C][/ROW]
[ROW][C]Biweight[/C][C]22.1007755995698[/C][C]0.114814958791457[/C][/ROW]
[ROW][C]Cosine[/C][C]22.054147395065[/C][C]0.114658854281611[/C][/ROW]
[ROW][C]Optcosine[/C][C]22.4271730311035[/C][C]0.11549377954715[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=219223&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=219223&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
Gaussian21.77437816803620.114228588468764
Epanechnikov22.42717303110350.116574488608823
Rectangular22.61368584912280.139448309962117
Triangular22.00751919056020.118115992001026
Biweight22.10077559956980.114814958791457
Cosine22.0541473950650.114658854281611
Optcosine22.42717303110350.11549377954715



Parameters (Session):
par1 = 8 ; par2 = 0 ;
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')
}