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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 11:26:21 -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/t1256664582hbgizwz8x7qp54u.htm/, Retrieved Tue, 07 May 2024 21:44:45 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=51075, Retrieved Tue, 07 May 2024 21:44:45 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsHSWWS4Q2
Estimated Impact187
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Bivariate Kernel Density Estimation] [] [2009-10-27 17:26:21] [4563e36d4b7005634fe3557528d9fcab] [Current]
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Dataseries X:
3,971090213
3,970207359
4,006423253
3,990693961
3,989894564
3,996117476
3,974465636
3,943247125
4,008131562
4,022387126
3,996248915
3,990782692
3,983400738
3,988068203
4,024854948
3,982768577
3,972573081
3,978180517
3,986323777
3,926033597
3,993171605
4,025346835
3,997473759
4,009833179
3,972249136
3,983851719
4,050302404
3,999956568
4,003848122
4,065280871
4,022552084
3,998477303
4,063220736
4,05388479
4,067665882
4,069926969
4,025100961
4,031448862
4,086324231
4,067814511
4,040523226
4,070148736
4,034989216
4,021933166
4,085754244
4,077985291
4,092123869
4,091983332
4,085004999
4,082641778
4,156094631
4,102776615
4,141919874
4,132355762
4,104964846
4,09565744
4,126748142
4,144916527
4,148849343
4,118694508
4,127525925
4,132867788
4,187182178
4,136974096
4,166992231
4,172690482
4,145848757
4,141575183
4,157275396
4,195124423
4,201506367
4,146624089
Dataseries Y:
4,154454406
4,146531122
4,20172477
4,155032229
4,168615322
4,167937313
4,143576832
4,12264177
4,194791758
4,193931191
4,179350682
4,16214604
4,179896333
4,173419384
4,208629438
4,149896207
4,145662471
4,153387979
4,143670433
4,093211492
4,189040908
4,208064948
4,179178229
4,164144582
4,16716959
4,161757195
4,232258962
4,181243161
4,18920949
4,23484617
4,202433822
4,176178109
4,260453018
4,251565224
4,255971639
4,23756887
4,222872477
4,224014811
4,276737459
4,249516316
4,223651667
4,256741793
4,223054413
4,224507165
4,290346301
4,284453294
4,299964669
4,279940573
4,29125782
4,28064665
4,35283829
4,275403503
4,296687124
4,30847904
4,259331025
4,280737674
4,318939392
4,334493962
4,349471799
4,308222819
4,326643036
4,312388949
4,364588514
4,303930064
4,326192438
4,335016361
4,318543299
4,31160554
4,344510166
4,383420373
4,39720978
4,33485569




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=51075&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=51075&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=51075&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 axis0.0235003001585488
y axis0.0267174339536736
Correlation
correlation used in KDE0.983300425706833
correlation(x,y)0.983300425706833

\begin{tabular}{lllllllll}
\hline
Bandwidth \tabularnewline
x axis & 0.0235003001585488 \tabularnewline
y axis & 0.0267174339536736 \tabularnewline
Correlation \tabularnewline
correlation used in KDE & 0.983300425706833 \tabularnewline
correlation(x,y) & 0.983300425706833 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=51075&T=1

[TABLE]
[ROW][C]Bandwidth[/C][/ROW]
[ROW][C]x axis[/C][C]0.0235003001585488[/C][/ROW]
[ROW][C]y axis[/C][C]0.0267174339536736[/C][/ROW]
[ROW][C]Correlation[/C][/ROW]
[ROW][C]correlation used in KDE[/C][C]0.983300425706833[/C][/ROW]
[ROW][C]correlation(x,y)[/C][C]0.983300425706833[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=51075&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=51075&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 axis0.0235003001585488
y axis0.0267174339536736
Correlation
correlation used in KDE0.983300425706833
correlation(x,y)0.983300425706833



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')