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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 computationSun, 15 Feb 2009 14:46:29 -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/15/t1234734623vusadfildjxk8v2.htm/, Retrieved Sun, 12 May 2024 01:05:05 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=37601, Retrieved Sun, 12 May 2024 01:05:05 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact166

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [BNP USA 1889-1960] [2009-02-15 14:00:36] [74be16979710d4c4e7c6647856088456]
- RMP   [Histogram] [] [2009-02-15 21:36:45] [74be16979710d4c4e7c6647856088456]
- RMP       [Kernel Density Estimation] [] [2009-02-15 21:46:29] [d41d8cd98f00b204e9800998ecf8427e] [Current]
-             [Kernel Density Estimation] [Dichtheidsgrafiek...] [2009-02-16 07:26:59] [74be16979710d4c4e7c6647856088456]
-   PD          [Kernel Density Estimation] [Duncan Huysmans O...] [2009-06-05 21:26:48] [3ccda03dddd60e52bd63ea4afd424344]
- RMPD          [Quartiles] [Opgave 3 opdracht...] [2009-06-05 21:34:48] [3ccda03dddd60e52bd63ea4afd424344]
- RMPD          [Notched Boxplots] [Duncan Huysmans O...] [2009-06-05 21:42:30] [3ccda03dddd60e52bd63ea4afd424344]
- RMP             [Harrell-Davis Quantiles] [Duncan Huysmans O...] [2009-06-05 22:08:50] [3ccda03dddd60e52bd63ea4afd424344]
- RMP             [Harrell-Davis Quantiles] [Duncan Huysmans O...] [2009-06-05 22:15:49] [3ccda03dddd60e52bd63ea4afd424344]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
49.1
52.7
55.1
60.4
57.5
55.9
62.6
61.3
67.1
68.6
74.8
76.9
85.7
86.5
90.8
89.7
96.3
107.5
109.2
100.2
116.8
120.1
123.3
130.2
131.4
125.6
124.5
134.3
135.2
151.8
146.4
140.0
127.8
148.0
165.9
165.5
179.9
190.0
189.8
190.9
203.6
183.5
169.3
144.2
141.5
154.3
169.5
194.0
203.2
192.9
209.4
227.2
263.7
297.8
337.1
361.3
355.2
312.6
309.9
323.7
324.1
355.3
383.4
395.1
412.8
407.0
438.0
446.1
452.5
447.3
475.9
487.7

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'George Udny Yule' @ 72.249.76.132

\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 & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=37601&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=37601&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=37601&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'George Udny Yule' @ 72.249.76.132






Properties of Density Trace
Bandwidth48.0558663300892
#Observations72

\begin{tabular}{lllllllll}
\hline
Properties of Density Trace \tabularnewline
Bandwidth & 48.0558663300892 \tabularnewline
#Observations & 72 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=37601&T=1

[TABLE]
[ROW][C]Properties of Density Trace[/C][/ROW]
[ROW][C]Bandwidth[/C][C]48.0558663300892[/C][/ROW]
[ROW][C]#Observations[/C][C]72[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=37601&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=37601&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
Bandwidth48.0558663300892
#Observations72


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')