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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 computationTue, 27 Oct 2009 05:34:27 -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/Oct/27/t12566433125mjfthmuovuocy3.htm/, Retrieved Tue, 07 May 2024 08:19:47 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=50887, Retrieved Tue, 07 May 2024 08:19:47 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsSHW WS 4 - Deel 2 - Vraag 2
Estimated Impact153
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Bivariate Data Series] [Bivariate dataset] [2008-01-05 23:51:08] [74be16979710d4c4e7c6647856088456]
- RMPD  [Bivariate Explorative Data Analysis] [WS 4 - Deel 2 - V...] [2009-10-26 08:25:43] [b103a1dc147def8132c7f643ad8c8f84]
- RMPD      [Bivariate Kernel Density Estimation] [WS 4 - Deel 2 - V...] [2009-10-27 11:34:27] [a45cc820faa25ce30779915639528ec2] [Current]
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Dataseries X:
2.740840024
2.714694744
2.459588842
2.791165108
2.815408719
2.708050201
2.701361213
2.681021529
2.727852828
2.884800713
2.797281335
2.734367509
2.884800713
2.766319109
2.63188884
2.879198457
2.884800713
2.856470206
2.815408719
2.772588722
2.809402695
2.949688335
2.879198457
2.844909384
2.923161581
2.791165108
2.714694744
2.954910279
2.87356464
2.949688335
2.890371758
2.862200881
2.879198457
3.04927304
2.844909384
2.965273066
2.985681938
2.867898902
2.785011242
2.970414466
2.990719732
2.995732274
2.850706502
2.939161922
2.923161581
3.063390922
2.923161581
2.985681938
3.034952987
2.975529566
2.87356464
2.985681938
3.100092289
3.0301337
2.884800713
3.039749159
3.054001182
3.063390922
3.135494216
3.058707073
3.173878459
3.109060959
2.90690106
3.126760536
3.104586678
2.879198457
2.797281335
2.772588722
2.797281335
2.87356464
2.809402695
2.785011242
2.90690106
Dataseries Y:
2.653241965
2.602689685
2.4765384
2.681021529
2.747270914
2.646174797
2.701361213
2.653241965
2.681021529
2.844909384
2.734367509
2.660259537
2.862200881
2.674148649
2.667228207
2.809402695
2.815408719
2.809402695
2.827313622
2.753660712
2.797281335
2.912350665
2.827313622
2.803360381
2.90690106
2.714694744
2.753660712
2.895911938
2.821378886
2.939161922
2.944438979
2.895911938
2.879198457
3.068052935
2.839078464
2.928523524
2.944438979
2.797281335
2.827313622
2.923161581
2.960105096
2.965273066
2.867898902
2.923161581
2.895911938
3.015534901
2.895911938
2.975529566
2.990719732
2.954910279
2.879198457
2.954910279
3.091042453
3.04927304
2.970414466
3.100092289
3.039749159
3.100092289
3.157000421
3.068052935
3.19047635
3.126760536
3.010620886
3.165475048
3.148453361
2.975529566
2.890371758
2.850706502
2.821378886
2.901421594
2.803360381
2.772588722
2.912350665




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'RServer@AstonUniversity' @ vre.aston.ac.uk

\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 & 'RServer@AstonUniversity' @ vre.aston.ac.uk \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=50887&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]'RServer@AstonUniversity' @ vre.aston.ac.uk[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=50887&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=50887&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 time2 seconds
R Server'RServer@AstonUniversity' @ vre.aston.ac.uk







Bandwidth
x axis0.0618534543916344
y axis0.0567246461638029
Correlation
correlation used in KDE0.94715912357189
correlation(x,y)0.94715912357189

\begin{tabular}{lllllllll}
\hline
Bandwidth \tabularnewline
x axis & 0.0618534543916344 \tabularnewline
y axis & 0.0567246461638029 \tabularnewline
Correlation \tabularnewline
correlation used in KDE & 0.94715912357189 \tabularnewline
correlation(x,y) & 0.94715912357189 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=50887&T=1

[TABLE]
[ROW][C]Bandwidth[/C][/ROW]
[ROW][C]x axis[/C][C]0.0618534543916344[/C][/ROW]
[ROW][C]y axis[/C][C]0.0567246461638029[/C][/ROW]
[ROW][C]Correlation[/C][/ROW]
[ROW][C]correlation used in KDE[/C][C]0.94715912357189[/C][/ROW]
[ROW][C]correlation(x,y)[/C][C]0.94715912357189[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=50887&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=50887&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 axis0.0618534543916344
y axis0.0567246461638029
Correlation
correlation used in KDE0.94715912357189
correlation(x,y)0.94715912357189



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')