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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_bidensity.wasp
Title produced by softwareBivariate Kernel Density Estimation
Date of computationMon, 16 Nov 2009 11:47:09 -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/Nov/16/t1258397351o8jpxe6otlypwu2.htm/, Retrieved Fri, 02 Dec 2022 10:52:28 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=57352, Retrieved Fri, 02 Dec 2022 10:52:28 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact154
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Bivariate Kernel Density Estimation] [3/11/2009] [2009-11-02 21:54:51] [b98453cac15ba1066b407e146608df68]
- R PD    [Bivariate Kernel Density Estimation] [] [2009-11-16 18:47:09] [21edaefb91319406e70b6c03c71b58b3] [Current]
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Dataseries X:
2,6
2,3
2,3
2,6
3,1
2,8
2,5
2,9
3,1
3,1
3,2
2,5
2,6
2,9
2,6
2,4
1,7
2,0
2,2
1,9
1,6
1,6
1,2
1,2
1,5
1,6
1,7
1,8
1,8
1,8
1,3
1,3
1,4
1,1
1,5
2,2
2,9
3,1
3,5
3,6
4,4
4,2
5,2
5,8
5,9
5,4
5,5
4,7
3,1
2,6
2,3
1,9
0,6
0,6
-0,4
-1,1
-1,7
-0,8
-1,2
-1,0
Dataseries Y:
2,00
2,00
2,00
2,00
2,00
2,00
2,00
2,00
2,00
2,00
2,00
2,00
2,00
2,21
2,25
2,25
2,45
2,50
2,50
2,64
2,75
2,93
3,00
3,17
3,25
3,39
3,50
3,50
3,65
3,75
3,75
3,90
4,00
4,00
4,00
4,00
4,00
4,00
4,00
4,00
4,00
4,00
4,00
4,00
4,18
4,25
4,25
3,97
3,42
2,75
2,31
2,00
1,66
1,31
1,09
1,00
1,00
1,00
1,00
1,00




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\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 & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=57352&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]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=57352&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=57352&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 time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Bandwidth
x axis0.463084551181421
y axis0.279715810755023
Correlation
correlation used in KDE0.608093251334029
correlation(x,y)0.608093251334029

\begin{tabular}{lllllllll}
\hline
Bandwidth \tabularnewline
x axis & 0.463084551181421 \tabularnewline
y axis & 0.279715810755023 \tabularnewline
Correlation \tabularnewline
correlation used in KDE & 0.608093251334029 \tabularnewline
correlation(x,y) & 0.608093251334029 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=57352&T=1

[TABLE]
[ROW][C]Bandwidth[/C][/ROW]
[ROW][C]x axis[/C][C]0.463084551181421[/C][/ROW]
[ROW][C]y axis[/C][C]0.279715810755023[/C][/ROW]
[ROW][C]Correlation[/C][/ROW]
[ROW][C]correlation used in KDE[/C][C]0.608093251334029[/C][/ROW]
[ROW][C]correlation(x,y)[/C][C]0.608093251334029[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=57352&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=57352&T=1

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Bandwidth
x axis0.463084551181421
y axis0.279715810755023
Correlation
correlation used in KDE0.608093251334029
correlation(x,y)0.608093251334029



Parameters (Session):
par1 = 50 ; par2 = 50 ; par3 = 0 ; par4 = 0 ; par5 = 0 ; par6 = Y ; par7 = Y ;
Parameters (R input):
par1 = 50 ; par2 = 50 ; par3 = 0 ; par4 = 0 ; par5 = 0 ; par6 = Y ; par7 = Y ;
R code (references can be found in the software module):
par1 <- as(par1,'numeric')
par2 <- as(par2,'numeric')
par3 <- as(par3,'numeric')
par4 <- as(par4,'numeric')
par5 <- as(par5,'numeric')
library('GenKern')
if (par3==0) par3 <- dpik(x)
if (par4==0) par4 <- dpik(y)
if (par5==0) par5 <- cor(x,y)
if (par1 > 500) par1 <- 500
if (par2 > 500) par2 <- 500
bitmap(file='bidensity.png')
op <- KernSur(x,y, xgridsize=par1, ygridsize=par2, correlation=par5, xbandwidth=par3, ybandwidth=par4)
image(op$xords, op$yords, op$zden, col=terrain.colors(100), axes=TRUE,main=main,xlab=xlab,ylab=ylab)
if (par6=='Y') contour(op$xords, op$yords, op$zden, add=TRUE)
if (par7=='Y') points(x,y)
(r<-lm(y ~ x))
abline(r)
box()
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Bandwidth',2,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'x axis',header=TRUE)
a<-table.element(a,par3)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'y axis',header=TRUE)
a<-table.element(a,par4)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Correlation',2,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'correlation used in KDE',header=TRUE)
a<-table.element(a,par5)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'correlation(x,y)',header=TRUE)
a<-table.element(a,cor(x,y))
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable.tab')