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Author's title

Max willen te betalen prijs voor studio 100 show in euro (dichtheidsgrafiek...

Author*Unverified author*
R Software Modulerwasp_density.wasp
Title produced by softwareKernel Density Estimation
Date of computationThu, 27 Sep 2012 10:48:11 -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/2012/Sep/27/t1348757444w70f361sh20y8xm.htm/, Retrieved Mon, 29 Apr 2024 15:46:48 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=170075, Retrieved Mon, 29 Apr 2024 15:46:48 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact88
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Kernel Density Estimation] [Max willen te bet...] [2012-09-27 14:48:11] [5ebf8d45d440e2351c3182f635b9c69f] [Current]
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Dataseries X:
8
10
10
13
14
12
11
8
8
10
10
12
12
12
11
12
12
12
12
12
12
10
12
10
11
10
10
12
10
12
7
12
18
12
11
13
10
10
10
8
12
10
10
8
14
9
8
12
15
14
1
9
7
8
12
57
12
10
10
8
8
16
14
13
10
12
9
12
11
10
8
8
9
12
8
12
10
12
9
8
12
8
12
10
12
9
28
10
12
9
14
12
12
99
13
13
14
12
12
10
11
12
14
10
12
12
6
12
10
12
12
12
9
12
12
13
8
12
10
10
10
9
12
9
10
8
12
10
8
8
9
12
12
10
10
9
11
10
9
15
10
8
10
8
9
9
6
16
12
12
12
12
10
12
8
9
12
12
8
14
10
12
8
11
10
12
12
12
12
8
10
7
10
10
12
11
9
10
12
14
13
10
11
10
10
8
10
10
10
8
8
4
14
8
12
12
10
8
12
12
10
10
12
12
9
11
14
10
8
12
8
10
11
12
10
10
12
8
9
12
8
8
10
10
10
14
10
12
12
13
9
12
12
10
12
6
8
12
10
9
11
11
9
10
15
12
7
7
10
9
10
10
9
12
10
9
12
10
7
12
10
10
12
8
12
10
10
9
8
8
12
12
10
12
10
9
10
10
8
10
12
12
16
10
9
12
12
10
7
12
10
10
6
9
6
18
13
10
12
15
12
12
9
7
12
13
14
13
12
8
8
10
10
8
12
10
12
12
12
9
12
7
12
8
8
12
14
10
5
9
8
13
10
10
14
10
99
10
12
17
14
8
14
12
12
10
10
8
12
12
12
10
12
10
10
12
12
12
12
13
12
8
10
12
8
10
10
12
12
12
12
12
12
14
10
12
14
12
14
12
13
8
12
14
10
10
11
16
12
10
10
99
8
11
12
12
11
10
20
9
14
12
10
12
10
12
12
8
12
12
10
99
12
2
10
10
10
12
12
12
12
88
9
12
14
8
12
10
10
10
7
8
10
1
10
10
9
15
10
12
12
12
11
12
12
14
8
12
12
10
14
8
10
12
10
10
10
12
9
12
11
8
14
12
10
12
10
8
14
12
12
12
8
12
12
10
12
12
12
9
11
10
15
10
9
9
10
7
10
9
10
10
10
15
12
12
10
12
8
12
11
8
14
8
12
10
15
9
13
12
14
12
12
17
10
13
12
12
10
12
10
12
10
10
10
1
8
12
10
10
10
12
12
11
12
8
8
12
12
10
12
9
10
12
12
12
12
10
10
9
12
10
9
12
7
14
10
10
9
10
8
10
12
12
10
9
10
9
12
10
12
10
9
7
12
11
12
9
13
12
12
7
8
12
12
12
11
12
13
10
12
10
12
12
15
12
12
13
10
10
8
11
12
12
12
12
10
10
12
15
12
10
10
7
12
10
11
10
10
10
10
11
7
15
8
10
6
8
9
8
7
10
12
14
11
8
10
8
8
14
12
15
12
12
9
12
12
9
11
15
11
12
7
15
9
10
15
15
8
11
12
10
10
12
7
12
10
11
12
10
10
8
9
8
10
10
14
10
10
12
12
7
12
10
12
9
9
13
14
10
12
12
12
12
12
10
10
8
12
8
14
10
70
12
10
8
8
11
10
8
7
8
50
9
12
12
7
10
8
10
10
10
8
12
7
13
13
8
8
11
6
12
9
12
13
13
12
12
10
8
12
10
10
15
12
10
12
8
8
12
12
10
12
9
12
12
10
9
10
10
10
12
12
12
12
8
10
12
15
10
8
15
10
9
12
99
10
10
11
11
12
12
14
12
14
9
10
12
13
10
11
10
12
12
12
13
14
9
10
10
12
12
10
99
8
99
12
99
12
10
12
10
12
12
12
10
12
12
10
10
12
99
12
12
9
99
12
12
9
12
12
12
15
12
12
12
8
8
12
8
12
12
10
10
12
99
8
8
99
10
10
5
9
9
99
9
10
12




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time7 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 & 7 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=170075&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]7 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=170075&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=170075&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 time7 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net







Properties of Density Trace
Bandwidth0.347912673485396
#Observations858

\begin{tabular}{lllllllll}
\hline
Properties of Density Trace \tabularnewline
Bandwidth & 0.347912673485396 \tabularnewline
#Observations & 858 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=170075&T=1

[TABLE]
[ROW][C]Properties of Density Trace[/C][/ROW]
[ROW][C]Bandwidth[/C][C]0.347912673485396[/C][/ROW]
[ROW][C]#Observations[/C][C]858[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=170075&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=170075&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
Bandwidth0.347912673485396
#Observations858







Maximum Density Values
Kernelx-valuemax. density
Gaussian12.09994791797150.351055230614338
Epanechnikov12.09994791797150.308857036739766
Rectangular11.70821611350610.276578153652621
Triangular12.09994791797150.346808457290725
Biweight12.09994791797150.321833464329221
Cosine12.09994791797150.326449275089886
Optcosine12.09994791797150.312884967070061

\begin{tabular}{lllllllll}
\hline
Maximum Density Values \tabularnewline
Kernel & x-value & max. density \tabularnewline
Gaussian & 12.0999479179715 & 0.351055230614338 \tabularnewline
Epanechnikov & 12.0999479179715 & 0.308857036739766 \tabularnewline
Rectangular & 11.7082161135061 & 0.276578153652621 \tabularnewline
Triangular & 12.0999479179715 & 0.346808457290725 \tabularnewline
Biweight & 12.0999479179715 & 0.321833464329221 \tabularnewline
Cosine & 12.0999479179715 & 0.326449275089886 \tabularnewline
Optcosine & 12.0999479179715 & 0.312884967070061 \tabularnewline
 \hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=170075&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]12.0999479179715[/C][C]0.351055230614338[/C][/ROW]
[ROW][C]Epanechnikov[/C][C]12.0999479179715[/C][C]0.308857036739766[/C][/ROW]
[ROW][C]Rectangular[/C][C]11.7082161135061[/C][C]0.276578153652621[/C][/ROW]
[ROW][C]Triangular[/C][C]12.0999479179715[/C][C]0.346808457290725[/C][/ROW]
[ROW][C]Biweight[/C][C]12.0999479179715[/C][C]0.321833464329221[/C][/ROW]
[ROW][C]Cosine[/C][C]12.0999479179715[/C][C]0.326449275089886[/C][/ROW]
[ROW][C]Optcosine[/C][C]12.0999479179715[/C][C]0.312884967070061[/C][/ROW]
 [/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=170075&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=170075&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
Gaussian12.09994791797150.351055230614338
Epanechnikov12.09994791797150.308857036739766
Rectangular11.70821611350610.276578153652621
Triangular12.09994791797150.346808457290725
Biweight12.09994791797150.321833464329221
Cosine12.09994791797150.326449275089886
Optcosine12.09994791797150.312884967070061







Maximum Density Values
Kernelx-valuemax. density
Gaussian12.09994791797150.351055230614338
Epanechnikov12.09994791797150.308857036739766
Rectangular11.90408201573880.276578153652621
Triangular12.09994791797150.346808457290725
Biweight12.09994791797150.321833464329221
Cosine12.09994791797150.326449275089886
Optcosine12.09994791797150.312884967070061

\begin{tabular}{lllllllll}
\hline
Maximum Density Values \tabularnewline
Kernel & x-value & max. density \tabularnewline
Gaussian & 12.0999479179715 & 0.351055230614338 \tabularnewline
Epanechnikov & 12.0999479179715 & 0.308857036739766 \tabularnewline
Rectangular & 11.9040820157388 & 0.276578153652621 \tabularnewline
Triangular & 12.0999479179715 & 0.346808457290725 \tabularnewline
Biweight & 12.0999479179715 & 0.321833464329221 \tabularnewline
Cosine & 12.0999479179715 & 0.326449275089886 \tabularnewline
Optcosine & 12.0999479179715 & 0.312884967070061 \tabularnewline
 \hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=170075&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]12.0999479179715[/C][C]0.351055230614338[/C][/ROW]
[ROW][C]Epanechnikov[/C][C]12.0999479179715[/C][C]0.308857036739766[/C][/ROW]
[ROW][C]Rectangular[/C][C]11.9040820157388[/C][C]0.276578153652621[/C][/ROW]
[ROW][C]Triangular[/C][C]12.0999479179715[/C][C]0.346808457290725[/C][/ROW]
[ROW][C]Biweight[/C][C]12.0999479179715[/C][C]0.321833464329221[/C][/ROW]
[ROW][C]Cosine[/C][C]12.0999479179715[/C][C]0.326449275089886[/C][/ROW]
[ROW][C]Optcosine[/C][C]12.0999479179715[/C][C]0.312884967070061[/C][/ROW]
 [/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=170075&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=170075&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
Gaussian12.09994791797150.351055230614338
Epanechnikov12.09994791797150.308857036739766
Rectangular11.90408201573880.276578153652621
Triangular12.09994791797150.346808457290725
Biweight12.09994791797150.321833464329221
Cosine12.09994791797150.326449275089886
Optcosine12.09994791797150.312884967070061







Maximum Density Values
Kernelx-valuemax. density
Gaussian12.09994791797150.351055230614338
Epanechnikov12.09994791797150.308857036739766
Rectangular12.09994791797150.276578153652621
Triangular12.09994791797150.346808457290725
Biweight12.09994791797150.321833464329221
Cosine12.09994791797150.326449275089886
Optcosine12.09994791797150.312884967070061

\begin{tabular}{lllllllll}
\hline
Maximum Density Values \tabularnewline
Kernel & x-value & max. density \tabularnewline
Gaussian & 12.0999479179715 & 0.351055230614338 \tabularnewline
Epanechnikov & 12.0999479179715 & 0.308857036739766 \tabularnewline
Rectangular & 12.0999479179715 & 0.276578153652621 \tabularnewline
Triangular & 12.0999479179715 & 0.346808457290725 \tabularnewline
Biweight & 12.0999479179715 & 0.321833464329221 \tabularnewline
Cosine & 12.0999479179715 & 0.326449275089886 \tabularnewline
Optcosine & 12.0999479179715 & 0.312884967070061 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=170075&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]12.0999479179715[/C][C]0.351055230614338[/C][/ROW]
[ROW][C]Epanechnikov[/C][C]12.0999479179715[/C][C]0.308857036739766[/C][/ROW]
[ROW][C]Rectangular[/C][C]12.0999479179715[/C][C]0.276578153652621[/C][/ROW]
[ROW][C]Triangular[/C][C]12.0999479179715[/C][C]0.346808457290725[/C][/ROW]
[ROW][C]Biweight[/C][C]12.0999479179715[/C][C]0.321833464329221[/C][/ROW]
[ROW][C]Cosine[/C][C]12.0999479179715[/C][C]0.326449275089886[/C][/ROW]
[ROW][C]Optcosine[/C][C]12.0999479179715[/C][C]0.312884967070061[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=170075&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=170075&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
Gaussian12.09994791797150.351055230614338
Epanechnikov12.09994791797150.308857036739766
Rectangular12.09994791797150.276578153652621
Triangular12.09994791797150.346808457290725
Biweight12.09994791797150.321833464329221
Cosine12.09994791797150.326449275089886
Optcosine12.09994791797150.312884967070061



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')
}