Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_density.wasp
Title produced by softwareKernel Density Estimation
Date of computationMon, 16 Feb 2009 17:12:53 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Feb/17/t1234829654pr8hal9i3l2tp3h.htm/, Retrieved Mon, 06 May 2024 15:44:51 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=37782, Retrieved Mon, 06 May 2024 15:44:51 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact186
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Kernel Density Estimation] [Dichtheidsgrafiek...] [2009-02-17 00:12:53] [d41d8cd98f00b204e9800998ecf8427e] [Current]
-    D    [Kernel Density Estimation] [Dichtheidsgrafiek...] [2009-03-02 11:14:50] [74be16979710d4c4e7c6647856088456]
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Dataseries X:
18,09
18,13
18
17,72
17,62
17,13
17,39
17,09
17,14
17,38
16,8
16,51
16,01
15,05
13,56
15,22
14,91
15,13
15,25
14,61
14,87
15,1
15,22
15,46
14,96
14
14,2
13,9
13,63
13,32
13,8
14,5
14,12
13,88
14,11
14,26
14,71
14,52
14,32
14,69
15,25
15,04
14,82
14,5
14,72
14,6
14,58
14
14,75
14,41
15,19
14,96
14,83
14,25
14,32
14,93
14,65
15,65
15,65
15,61
15,95
15,83
15,77
16,7
16,69
16,4
16,77
16,78
16,84
16,68
16,67
16,3
16,37
16,6
16,72
16,82
17,5
17,2
17,29
17,2
17,2
17,32
17,16
17,41
17,31
17,3
17,34
17,19
17,05
17,07
17,07
16,81
16,81
16,96
17,05
17
16,77
16,66
16,2
16,26
15,84
15,85
15,71
15,84
15,73
15,77
15,3
15,41
15,4
15,61
15
14,12
14,01
13,46
13,85
13,92
13,59
13,67
13,05
12,87
12,28
11,88
12,49
11,9
10,8
10,99
10,15
10,07
10,05
10,31
9,94
9,65
9,74
9,85
9,96
9,63
9,43
8,77
9,53
9,5
9,78
9,9
9,93
10,35
9,79
9,63
9,02
9,25
9,11
8,95
9,3
9,13
9,75
9,65
9,27
9,59
9,58
9,98
9,57
9,6
9,64
9,46
9,19
9,02
8,9
9,12
8,86
8,94
9
9,23
9,39
9,62
9,9
9,8
9,2
9,87
9,6
9,37
9,21
9,15
8,7
8,2
8,1
6,68
7,7
8,2
7,55
7,53
7,02
6,6
6
3,95
4,91
5,15
5,7
1,93
1,36
1,1
0,98
1
1,1
1,06
1,01
0,93
0,89
0,9
0,88
0,85
0,84
0,94
1
1,1
1,15
1,05
1,06
0,99
0,93
0,84
0,9
0,86
0,78
0,77
0,6
0,57
0,62
0,62
0,58
0,6
0,73
0,75
0,63
0,71
0,68
0,64
0,66
0,69
0,72
0,92
0,85
0,95
1
1,15
1,07
1,01
0,99
0,95
0,92
0,94
0,96
1,05
1,04
1,1
1,14
1,12
1,19
1,35
1,62
1,43
1,45
1,47
1,35
1,15
1,46
1,3
1,3
1,5
1,52
1,63
1,9
1,65
1,5
1,38
1,39





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135
R Framework error message
Warning: there are blank lines in the 'Data' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.

\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 & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
R Framework error message & 
Warning: there are blank lines in the 'Data' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.
\tabularnewline \hline \end{tabular} %Source: https://freestatistics.org/blog/index.php?pk=37782&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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[ROW][C]R Framework error message[/C][C]
Warning: there are blank lines in the 'Data' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.
[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=37782&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=37782&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 time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135
R Framework error message
Warning: there are blank lines in the 'Data' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.







Properties of Density Trace
Bandwidth1.82237403328504
#Observations273

\begin{tabular}{lllllllll}
\hline
Properties of Density Trace \tabularnewline
Bandwidth & 1.82237403328504 \tabularnewline
#Observations & 273 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=37782&T=1

[TABLE]
[ROW][C]Properties of Density Trace[/C][/ROW]
[ROW][C]Bandwidth[/C][C]1.82237403328504[/C][/ROW]
[ROW][C]#Observations[/C][C]273[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=37782&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=37782&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
Bandwidth1.82237403328504
#Observations273



Parameters (Session):
par1 = 0 ;
Parameters (R input):
par1 = 0 ;
R code (references can be found in the software module):
if (par1 == '0') bw <- 'nrd0'
if (par1 != '0') bw <- as.numeric(par1)
bitmap(file='density1.png')
mydensity1<-density(x,bw=bw,kernel='gaussian',na.rm=TRUE)
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)
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)
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)
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)
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)
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)
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')