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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 computationSat, 12 Dec 2009 06:34:31 -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/Dec/12/t1260624938wl8ayngaw5zshfb.htm/, Retrieved Thu, 31 Oct 2024 23:23:32 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=66947, Retrieved Thu, 31 Oct 2024 23:23:32 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact183
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Bivariate Kernel Density Estimation] [Paper] [2009-12-12 13:34:31] [852eae237d08746109043531619a60c9] [Current]
-    D    [Bivariate Kernel Density Estimation] [Paper.1] [2009-12-12 13:38:38] [d31db4f83c6a129f6d3e47077769e868]
- RMPD      [Standard Deviation-Mean Plot] [Paper. Mean Plot ...] [2009-12-12 14:46:45] [d31db4f83c6a129f6d3e47077769e868]
-    D        [Standard Deviation-Mean Plot] [Paper] [2009-12-12 14:54:21] [d31db4f83c6a129f6d3e47077769e868]
-    D          [Standard Deviation-Mean Plot] [Paper. Ingeschrev...] [2009-12-12 15:28:35] [d31db4f83c6a129f6d3e47077769e868]
-    D            [Standard Deviation-Mean Plot] [Paper. achtergest...] [2009-12-12 15:31:03] [d31db4f83c6a129f6d3e47077769e868]
- RM D              [(Partial) Autocorrelation Function] [Paper, Partiële ...] [2009-12-12 15:59:27] [d31db4f83c6a129f6d3e47077769e868]
- RM D              [Spectral Analysis] [Paper. Spectral A...] [2009-12-12 16:10:11] [d31db4f83c6a129f6d3e47077769e868]
-   P                 [Spectral Analysis] [Paper. Spectral A...] [2009-12-18 15:52:57] [d31db4f83c6a129f6d3e47077769e868]
-   P                   [Spectral Analysis] [Paper. Spectral A...] [2009-12-18 17:24:57] [d31db4f83c6a129f6d3e47077769e868]
-   P                     [Spectral Analysis] [Paper] [2010-01-07 15:25:28] [309ee52d0058ff0a6f7eec15e07b2d9f]
- RM D              [Mean Plot] [Paper. Mean plot] [2009-12-12 16:13:07] [d31db4f83c6a129f6d3e47077769e868]
-    D                [Mean Plot] [Paper. Mean plot ...] [2009-12-12 16:15:50] [d31db4f83c6a129f6d3e47077769e868]
-    D                [Mean Plot] [Paper. Inschrijvi...] [2009-12-12 16:18:27] [d31db4f83c6a129f6d3e47077769e868]
-    D                  [Mean Plot] [Paper. Mean plot ...] [2009-12-12 16:20:40] [d31db4f83c6a129f6d3e47077769e868]
- RM D                  [ARIMA Backward Selection] [Paper. Arima back...] [2009-12-12 17:23:23] [d31db4f83c6a129f6d3e47077769e868]
-   PD      [Bivariate Kernel Density Estimation] [Paper. Kernel Den...] [2009-12-12 15:35:40] [d31db4f83c6a129f6d3e47077769e868]
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Dataseries X:
593530
610763
612613
611324
594167
595454
590865
589379
584428
573100
567456
569028
620735
628884
628232
612117
595404
597141
593408
590072
579799
574205
572775
572942
619567
625809
619916
587625
565742
557274
560576
548854
531673
525919
511038
498662
555362
564591
541657
527070
509846
514258
516922
507561
492622
490243
469357
477580
528379
533590
517945
506174
501866
516141
528222
532638
536322
536535
523597
536214
586570
Dataseries Y:
3922
3759
4138
4634
3996
4308
4143
4429
5219
4929
5761
5592
4163
4962
5208
4755
4491
5732
5731
5040
6102
4904
5369
5578
4619
4731
5011
5299
4146
4625
4736
4219
5116
4205
4121
5103
4300
4578
3809
5526
4248
3830
4428
4834
4406
4565
4104
4798
3935
3792
4387
4006
4078
4724
3157
3558
3899
4118
3790
4278
4035




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=66947&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=66947&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=66947&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 axis17351.0028277797
y axis260.126554296008
Correlation
correlation used in KDE0.278868325236875
correlation(x,y)0.278868325236875

\begin{tabular}{lllllllll}
\hline
Bandwidth \tabularnewline
x axis & 17351.0028277797 \tabularnewline
y axis & 260.126554296008 \tabularnewline
Correlation \tabularnewline
correlation used in KDE & 0.278868325236875 \tabularnewline
correlation(x,y) & 0.278868325236875 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=66947&T=1

[TABLE]
[ROW][C]Bandwidth[/C][/ROW]
[ROW][C]x axis[/C][C]17351.0028277797[/C][/ROW]
[ROW][C]y axis[/C][C]260.126554296008[/C][/ROW]
[ROW][C]Correlation[/C][/ROW]
[ROW][C]correlation used in KDE[/C][C]0.278868325236875[/C][/ROW]
[ROW][C]correlation(x,y)[/C][C]0.278868325236875[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=66947&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=66947&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 axis17351.0028277797
y axis260.126554296008
Correlation
correlation used in KDE0.278868325236875
correlation(x,y)0.278868325236875



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')