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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_density.wasp
Title produced by softwareKernel Density Estimation
Date of computationWed, 15 Feb 2012 08:03:15 -0500
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/Feb/15/t1329311050a55gf14rdt005g1.htm/, Retrieved Tue, 07 May 2024 22:06:44 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=162428, Retrieved Tue, 07 May 2024 22:06:44 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDG2011W2EC
Estimated Impact104

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Kernel Density Estimation] [dichtheidsgrafiek...] [2012-02-15 13:03:15] [4080e77d9380e2af46712fd05e0afa1e] [Current]
- RMPD    [Quartiles] [jens vanpachtenbe...] [2012-05-25 14:27:42] [6c12ae1bbd1f05ed2de376c80d275927]
- RMPD    [Notched Boxplots] [jens vanpachtenbe...] [2012-05-25 14:32:20] [6c12ae1bbd1f05ed2de376c80d275927]
- RMPD    [Harrell-Davis Quantiles] [jens vanpachtenbe...] [2012-05-25 14:38:16] [6c12ae1bbd1f05ed2de376c80d275927]
- RMPD    [Harrell-Davis Quantiles] [jens vanpachtenbe...] [2012-05-25 14:40:42] [6c12ae1bbd1f05ed2de376c80d275927]
- RMPD    [Mean versus Median] [jens vanpachtenbe...] [2012-05-25 14:52:19] [6c12ae1bbd1f05ed2de376c80d275927]
- RMPD    [Central Tendency] [jens vanpachtenbe...] [2012-05-25 14:54:42] [6c12ae1bbd1f05ed2de376c80d275927]
- RMPD    [Mean versus Median] [jens vanpachtenbe...] [2012-05-25 14:59:15] [6c12ae1bbd1f05ed2de376c80d275927]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
2,3
2,31
2,31
2,32
2,33
2,34
2,36
2,37
2,37
2,38
2,39
2,4
2,4
2,39
2,4
2,42
2,42
2,44
2,44
2,44
2,45
2,46
2,47
2,48
2,48
2,49
2,5
2,51
2,52
2,52
2,52
2,54
2,54
2,54
2,56
2,57
2,58
2,58
2,58
2,58
2,59
2,6
2,61
2,61
2,62
2,63
2,65
2,67
2,68
2,67
2,68
2,68
2,68
2,68
2,69
2,69
2,69
2,7
2,71
2,72
2,71
2,72
2,73
2,74
2,74
2,75
2,75
2,76
2,75
2,78
2,79
2,8
2,81
2,81
2,82
2,82
2,83
2,83
2,84
2,84
2,84
2,86
2,87

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 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 & 2 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=162428&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=162428&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=162428&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 time2 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net






Properties of Density Trace
Bandwidth0.0606973875334955
#Observations83

\begin{tabular}{lllllllll}
\hline
Properties of Density Trace \tabularnewline
Bandwidth & 0.0606973875334955 \tabularnewline
#Observations & 83 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=162428&T=1

[TABLE]
[ROW][C]Properties of Density Trace[/C][/ROW]
[ROW][C]Bandwidth[/C][C]0.0606973875334955[/C][/ROW]
[ROW][C]#Observations[/C][C]83[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=162428&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=162428&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
Bandwidth0.0606973875334955
#Observations83


Figures (Output of Computation)

Input Parameters & R Code

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')