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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 computationTue, 09 Dec 2014 09:46:36 +0000
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/Dec/09/t1418118410f0g1y1ua7thllwo.htm/, Retrieved Sun, 19 May 2024 10:10:09 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=264365, Retrieved Sun, 19 May 2024 10:10:09 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact86
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Percentiles] [Intrinsic Motivat...] [2010-10-12 12:10:58] [b98453cac15ba1066b407e146608df68]
- RMPD  [Kernel Density Estimation] [] [2011-10-18 22:42:23] [b98453cac15ba1066b407e146608df68]
- RMPD      [Kernel Density Estimation] [E3 Kernel] [2014-12-09 09:46:36] [0eaac0c325f91461a250342d6072f4e0] [Current]
-  M          [Kernel Density Estimation] [] [2014-12-18 19:25:21] [d69b52d23ca73e15a0c741afa583703c]
-  M          [Kernel Density Estimation] [] [2014-12-18 19:46:26] [d69b52d23ca73e15a0c741afa583703c]
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Dataseries X:
20
25
19
18
24
20
20
24
21
28
10
22
19
27
23
24
24
25
24
21
28
28
22
26
26
21
26
23
20
24
25
24
20
24
25
23
21
23
21
18
24
18
21
23
25
22
22
23
24
25
22
24
21
24
25
23
27
27
23
18
20
23
24
26
20
23
22
23
17
20
22
18
19
19
16
26
14
25
23
18
22
26
25
26
26
24
22
21
22
28
22
26
20
24
21
23
23
23
22
23
21
27
23
26
27
27
23
23
23
28
24
20
23
22
15
27
23
23
20
18
22
20
21
25
19
25
24
22
28
22
21
23
19
21
25
23
28
14
23
24
25
15
23
26
21
26
15
23
15
16
20
20
20
21
28
19
21
22
27
20
17
26
21
24
21
25
22
17
14
23
28
24
22
24
25
21
22
16
18
27
17
25
24
21
21
19
27
28
19
23
25
26
25
25
24
24
24
22
21
17
23
17
25
19
8
14
22
25
28
25
24
15
25
24
28
24
25
23
26
26
22
25
20
22
26
20
26
26
21
21
24
21
18
23
26
23
25
20
25
26
19
21
23
24
6
22
21
28
24
14
17
20
28
19
24
21
21
26
24
26
25
23
24
24
26
23
20
16
24
20
23
23
18
21
25
23
26
26
24
23
21
23
20
23
24




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 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 & 3 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=264365&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]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=264365&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=264365&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'Gwilym Jenkins' @ jenkins.wessa.net







Properties of Density Trace
Bandwidth0.867418599880505
#Observations285

\begin{tabular}{lllllllll}
\hline
Properties of Density Trace \tabularnewline
Bandwidth & 0.867418599880505 \tabularnewline
#Observations & 285 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=264365&T=1

[TABLE]
[ROW][C]Properties of Density Trace[/C][/ROW]
[ROW][C]Bandwidth[/C][C]0.867418599880505[/C][/ROW]
[ROW][C]#Observations[/C][C]285[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=264365&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=264365&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
Bandwidth0.867418599880505
#Observations285



Parameters (Session):
par1 = 1 2 3 4 5 6 7 ;
Parameters (R input):
par1 = 0 ; par2 = no ; par3 = ;
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')