Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_density.wasp
Title produced by softwareKernel Density Estimation
Date of computationWed, 12 Aug 2009 03:26:08 -0600
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/Aug/12/t1250069205gxww5gl0xsyfh5h.htm/, Retrieved Sun, 28 Apr 2024 11:53:11 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=42572, Retrieved Sun, 28 Apr 2024 11:53:11 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact229
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [Evolutie prijs ho...] [2009-08-11 17:29:10] [74be16979710d4c4e7c6647856088456]
- RMPD  [Histogram] [Frequentietabel P...] [2009-08-11 19:27:44] [f85cc8f00ef4b762f0a6fdfddc793773]
- RMP       [Kernel Density Estimation] [Dichtheidsgrafiek...] [2009-08-12 09:26:08] [768ad88abce8b6ce0be22cfe8ac9beaf] [Current]
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Dataseries X:
613.20
614.70
618.40
628.20
629.00
629.70
630.40
630.40
639.30
639.40
640.90
640.80
642.10
645.30
647.60
648.40
648.80
648.90
648.90
648.90
650.30
650.30
650.00
650.00
650.50
658.40
666.00
675.50
680.70
690.60
690.60
691.10
692.90
693.80
692.80
697.50
699.00
702.10
704.80
715.50
721.80
726.40
727.70
727.40
731.30
734.40
733.40
733.40
738.10
742.60
747.20
751.10
752.60
758.90
759.10
764.30
765.60
767.60
767.60
765.60
768.20
770.90
775.10
777.60
778.60
778.90
779.40
779.90
781.70
789.10
788.70
788.80
790.80
794.10
795.10
797.30
803.80
805.60
804.60
804.50
805.80
806.80
805.20
814.90
816.60
819.50
823.00
824.00
831.40
831.70
831.10
832.10
833.30
838.80
838.00
837.30
994.20
994.20
994.20
994.20
994.20
1092.60
1100.00
1100.00
1092.60
1000.70
1000.70
1000.50
1000.50
1000.50
1000.50
1000.50
1000.50
1087.70
1113.20
1116.00
1085.20
1031.30
1028.70
1027.50
1027.50
1027.50
1027.50
1027.50
1027.50
1152.20
1155.30
1154.00
1119.90
1079.30
1074.30
1069.80




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time4 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 4 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=42572&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]4 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=42572&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=42572&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 time4 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24







Properties of Density Trace
Bandwidth53.0918745997673
#Observations132

\begin{tabular}{lllllllll}
\hline
Properties of Density Trace \tabularnewline
Bandwidth & 53.0918745997673 \tabularnewline
#Observations & 132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=42572&T=1

[TABLE]
[ROW][C]Properties of Density Trace[/C][/ROW]
[ROW][C]Bandwidth[/C][C]53.0918745997673[/C][/ROW]
[ROW][C]#Observations[/C][C]132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=42572&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=42572&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
Bandwidth53.0918745997673
#Observations132



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')