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Author's title

Author*Unverified author*
R Software Modulerwasp_density.wasp
Title produced by softwareKernel Density Estimation
Date of computationSat, 27 Sep 2014 10:06:06 +0100
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/Sep/27/t14118088208x391jmsn4tlur0.htm/, Retrieved Thu, 09 May 2024 22:33:01 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=236453, Retrieved Thu, 09 May 2024 22:33:01 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact122
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [] [2014-09-23 12:59:10] [4df2cd86c9043e1a56e9383f8c504201]
- RMP     [Kernel Density Estimation] [] [2014-09-27 09:06:06] [062c419fa600f620f2df94d64c8876ba] [Current]
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Dataseries X:
53
47
49
44
48
51
47
44
33
47
41
36
46
24
17
22
30
24
18
24
24
28
19
22
26
14
16
21
15
23
29
17
24
18
22
8
26
22
34
25
20
35
38
24
14
25
31
17
32
27
30
19
36
27
28
38
26
25
30
27
30
50
48
34
41
26
39
33
38
28
36
20
39
22
32
32
31
28
44
40
32
35
32
31
41
23
36
36
42
36
64
30
25
51
38
27




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 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 & 3 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=236453&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=236453&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=236453&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 time3 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net







Properties of Density Trace
Bandwidth3.77408346200705
#Observations96

\begin{tabular}{lllllllll}
\hline
Properties of Density Trace \tabularnewline
Bandwidth & 3.77408346200705 \tabularnewline
#Observations & 96 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=236453&T=1

[TABLE]
[ROW][C]Properties of Density Trace[/C][/ROW]
[ROW][C]Bandwidth[/C][C]3.77408346200705[/C][/ROW]
[ROW][C]#Observations[/C][C]96[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=236453&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=236453&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
Bandwidth3.77408346200705
#Observations96







Maximum Density Values
Kernelx-valuemax. density
Gaussian26.68886047610850.0371994068775799
Epanechnikov28.22789180237160.0369766427708446
Rectangular29.76692312863460.0382444025815603
Triangular26.99666674136110.0368236932835074
Biweight27.458376139240.0369857478497302
Cosine27.30447300661370.0370014233199682
Optcosine28.22789180237160.0369688090963879

\begin{tabular}{lllllllll}
\hline
Maximum Density Values \tabularnewline
Kernel & x-value & max. density \tabularnewline
Gaussian & 26.6888604761085 & 0.0371994068775799 \tabularnewline
Epanechnikov & 28.2278918023716 & 0.0369766427708446 \tabularnewline
Rectangular & 29.7669231286346 & 0.0382444025815603 \tabularnewline
Triangular & 26.9966667413611 & 0.0368236932835074 \tabularnewline
Biweight & 27.45837613924 & 0.0369857478497302 \tabularnewline
Cosine & 27.3044730066137 & 0.0370014233199682 \tabularnewline
Optcosine & 28.2278918023716 & 0.0369688090963879 \tabularnewline
 \hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=236453&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]26.6888604761085[/C][C]0.0371994068775799[/C][/ROW]
[ROW][C]Epanechnikov[/C][C]28.2278918023716[/C][C]0.0369766427708446[/C][/ROW]
[ROW][C]Rectangular[/C][C]29.7669231286346[/C][C]0.0382444025815603[/C][/ROW]
[ROW][C]Triangular[/C][C]26.9966667413611[/C][C]0.0368236932835074[/C][/ROW]
[ROW][C]Biweight[/C][C]27.45837613924[/C][C]0.0369857478497302[/C][/ROW]
[ROW][C]Cosine[/C][C]27.3044730066137[/C][C]0.0370014233199682[/C][/ROW]
[ROW][C]Optcosine[/C][C]28.2278918023716[/C][C]0.0369688090963879[/C][/ROW]
 [/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=236453&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=236453&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
Gaussian26.68886047610850.0371994068775799
Epanechnikov28.22789180237160.0369766427708446
Rectangular29.76692312863460.0382444025815603
Triangular26.99666674136110.0368236932835074
Biweight27.458376139240.0369857478497302
Cosine27.30447300661370.0370014233199682
Optcosine28.22789180237160.0369688090963879







Maximum Density Values
Kernelx-valuemax. density
Gaussian26.68886047610850.0371994068775799
Epanechnikov28.22789180237160.0369766427708446
Rectangular29.92082626126090.0382444025815603
Triangular26.99666674136110.0368236932835074
Biweight27.458376139240.0369857478497302
Cosine27.30447300661370.0370014233199682
Optcosine28.22789180237160.0369688090963879

\begin{tabular}{lllllllll}
\hline
Maximum Density Values \tabularnewline
Kernel & x-value & max. density \tabularnewline
Gaussian & 26.6888604761085 & 0.0371994068775799 \tabularnewline
Epanechnikov & 28.2278918023716 & 0.0369766427708446 \tabularnewline
Rectangular & 29.9208262612609 & 0.0382444025815603 \tabularnewline
Triangular & 26.9966667413611 & 0.0368236932835074 \tabularnewline
Biweight & 27.45837613924 & 0.0369857478497302 \tabularnewline
Cosine & 27.3044730066137 & 0.0370014233199682 \tabularnewline
Optcosine & 28.2278918023716 & 0.0369688090963879 \tabularnewline
 \hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=236453&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]26.6888604761085[/C][C]0.0371994068775799[/C][/ROW]
[ROW][C]Epanechnikov[/C][C]28.2278918023716[/C][C]0.0369766427708446[/C][/ROW]
[ROW][C]Rectangular[/C][C]29.9208262612609[/C][C]0.0382444025815603[/C][/ROW]
[ROW][C]Triangular[/C][C]26.9966667413611[/C][C]0.0368236932835074[/C][/ROW]
[ROW][C]Biweight[/C][C]27.45837613924[/C][C]0.0369857478497302[/C][/ROW]
[ROW][C]Cosine[/C][C]27.3044730066137[/C][C]0.0370014233199682[/C][/ROW]
[ROW][C]Optcosine[/C][C]28.2278918023716[/C][C]0.0369688090963879[/C][/ROW]
 [/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=236453&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=236453&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
Gaussian26.68886047610850.0371994068775799
Epanechnikov28.22789180237160.0369766427708446
Rectangular29.92082626126090.0382444025815603
Triangular26.99666674136110.0368236932835074
Biweight27.458376139240.0369857478497302
Cosine27.30447300661370.0370014233199682
Optcosine28.22789180237160.0369688090963879







Maximum Density Values
Kernelx-valuemax. density
Gaussian26.68886047610850.0371994068775799
Epanechnikov28.22789180237160.0369766427708446
Rectangular30.07472939388720.0382444025815603
Triangular26.99666674136110.0368236932835074
Biweight27.458376139240.0369857478497302
Cosine27.30447300661370.0370014233199682
Optcosine28.22789180237160.0369688090963879

\begin{tabular}{lllllllll}
\hline
Maximum Density Values \tabularnewline
Kernel & x-value & max. density \tabularnewline
Gaussian & 26.6888604761085 & 0.0371994068775799 \tabularnewline
Epanechnikov & 28.2278918023716 & 0.0369766427708446 \tabularnewline
Rectangular & 30.0747293938872 & 0.0382444025815603 \tabularnewline
Triangular & 26.9966667413611 & 0.0368236932835074 \tabularnewline
Biweight & 27.45837613924 & 0.0369857478497302 \tabularnewline
Cosine & 27.3044730066137 & 0.0370014233199682 \tabularnewline
Optcosine & 28.2278918023716 & 0.0369688090963879 \tabularnewline
 \hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=236453&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]26.6888604761085[/C][C]0.0371994068775799[/C][/ROW]
[ROW][C]Epanechnikov[/C][C]28.2278918023716[/C][C]0.0369766427708446[/C][/ROW]
[ROW][C]Rectangular[/C][C]30.0747293938872[/C][C]0.0382444025815603[/C][/ROW]
[ROW][C]Triangular[/C][C]26.9966667413611[/C][C]0.0368236932835074[/C][/ROW]
[ROW][C]Biweight[/C][C]27.45837613924[/C][C]0.0369857478497302[/C][/ROW]
[ROW][C]Cosine[/C][C]27.3044730066137[/C][C]0.0370014233199682[/C][/ROW]
[ROW][C]Optcosine[/C][C]28.2278918023716[/C][C]0.0369688090963879[/C][/ROW]
 [/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=236453&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=236453&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
Gaussian26.68886047610850.0371994068775799
Epanechnikov28.22789180237160.0369766427708446
Rectangular30.07472939388720.0382444025815603
Triangular26.99666674136110.0368236932835074
Biweight27.458376139240.0369857478497302
Cosine27.30447300661370.0370014233199682
Optcosine28.22789180237160.0369688090963879







Maximum Density Values
Kernelx-valuemax. density
Gaussian26.68886047610850.0371994068775799
Epanechnikov28.22789180237160.0369766427708446
Rectangular30.22863252651350.0382444025815603
Triangular26.99666674136110.0368236932835074
Biweight27.458376139240.0369857478497302
Cosine27.30447300661370.0370014233199682
Optcosine28.22789180237160.0369688090963879

\begin{tabular}{lllllllll}
\hline
Maximum Density Values \tabularnewline
Kernel & x-value & max. density \tabularnewline
Gaussian & 26.6888604761085 & 0.0371994068775799 \tabularnewline
Epanechnikov & 28.2278918023716 & 0.0369766427708446 \tabularnewline
Rectangular & 30.2286325265135 & 0.0382444025815603 \tabularnewline
Triangular & 26.9966667413611 & 0.0368236932835074 \tabularnewline
Biweight & 27.45837613924 & 0.0369857478497302 \tabularnewline
Cosine & 27.3044730066137 & 0.0370014233199682 \tabularnewline
Optcosine & 28.2278918023716 & 0.0369688090963879 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=236453&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]26.6888604761085[/C][C]0.0371994068775799[/C][/ROW]
[ROW][C]Epanechnikov[/C][C]28.2278918023716[/C][C]0.0369766427708446[/C][/ROW]
[ROW][C]Rectangular[/C][C]30.2286325265135[/C][C]0.0382444025815603[/C][/ROW]
[ROW][C]Triangular[/C][C]26.9966667413611[/C][C]0.0368236932835074[/C][/ROW]
[ROW][C]Biweight[/C][C]27.45837613924[/C][C]0.0369857478497302[/C][/ROW]
[ROW][C]Cosine[/C][C]27.3044730066137[/C][C]0.0370014233199682[/C][/ROW]
[ROW][C]Optcosine[/C][C]28.2278918023716[/C][C]0.0369688090963879[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=236453&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=236453&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
Gaussian26.68886047610850.0371994068775799
Epanechnikov28.22789180237160.0369766427708446
Rectangular30.22863252651350.0382444025815603
Triangular26.99666674136110.0368236932835074
Biweight27.458376139240.0369857478497302
Cosine27.30447300661370.0370014233199682
Optcosine28.22789180237160.0369688090963879



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')
}