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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, 08 Nov 2008 04:46:03 -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/2008/Nov/08/t1226144848x9b4dz46y3rdbqv.htm/, Retrieved Sun, 19 May 2024 12:14:01 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=22580, Retrieved Sun, 19 May 2024 12:14:01 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsreeks 1; reeks 2
Estimated Impact216
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [Kendall tau Correlation Matrix] [Hypothesis Testin...] [2008-11-03 18:32:17] [6743688719638b0cb1c0a6e0bf433315]
- RMPD    [Bivariate Kernel Density Estimation] [Various EDA topic...] [2008-11-08 11:46:03] [9b05d7ef5dbcfba4217d280d9092f628] [Current]
-    D      [Bivariate Kernel Density Estimation] [Various EDA topic...] [2008-11-09 08:03:36] [6743688719638b0cb1c0a6e0bf433315]
-    D      [Bivariate Kernel Density Estimation] [Various EDA topics] [2008-11-09 08:06:01] [6743688719638b0cb1c0a6e0bf433315]
F    D      [Bivariate Kernel Density Estimation] [Various EDA topic...] [2008-11-09 08:10:12] [6743688719638b0cb1c0a6e0bf433315]
F RMP         [Box-Cox Linearity Plot] [Verious EDA topic...] [2008-11-09 20:18:21] [6743688719638b0cb1c0a6e0bf433315]
-    D      [Bivariate Kernel Density Estimation] [Various EDA topic...] [2008-11-09 08:13:05] [6743688719638b0cb1c0a6e0bf433315]
-    D      [Bivariate Kernel Density Estimation] [Various EDA topics] [2008-11-09 08:16:08] [6743688719638b0cb1c0a6e0bf433315]
- RMPD      [Partial Correlation] [Various EDA topic...] [2008-11-09 08:24:31] [6743688719638b0cb1c0a6e0bf433315]
F RMPD      [Hierarchical Clustering] [Various EDA metho...] [2008-11-09 08:56:48] [6743688719638b0cb1c0a6e0bf433315]
F RMPD        [Box-Cox Normality Plot] [Various EDA Q4] [2008-11-09 20:31:09] [6743688719638b0cb1c0a6e0bf433315]
- RMPD        [Maximum-likelihood Fitting - Normal Distribution] [Various eda q5] [2008-11-09 20:36:57] [6743688719638b0cb1c0a6e0bf433315]
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Dataseries X:
569
580
578
565
547
555
562
561
555
544
537
543
594
611
613
611
594
595
591
589
584
573
567
569
621
629
628
612
595
597
593
590
580
574
573
573
620
626
620
588
566
557
561
549
532
526
511
499
555
565
542
527
510
514
517
508
493
490
469
478
528
Dataseries Y:
117,8
113,5
121,2
130,4
115,2
117,9
110,7
107,6
124,3
115,1
112,5
127,9
117,4
119,3
130,4
126
125,4
130,5
115,9
108,7
124
119,4
118,6
131,3
111,1
124,8
132,3
126,7
131,7
130,9
122,1
113,2
133,6
119,2
129,4
131,4
117,1
130,5
132,3
140,8
137,5
128,6
126,7
120,8
139,3
128,6
131,3
136,3
128,8
133,2
136,3
151,1
145
134,4
135,7
128,7
129,2
138,6
132,7
132,5
135,2




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\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 & 3 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ 193.190.124.10:1001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=22580&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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ 193.190.124.10:1001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=22580&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=22580&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 time3 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001







Bandwidth
x axis18.8470195108673
y axis3.35389063780494
Correlation
correlation used in KDE-0.35199178667831
correlation(x,y)-0.35199178667831

\begin{tabular}{lllllllll}
\hline
Bandwidth \tabularnewline
x axis & 18.8470195108673 \tabularnewline
y axis & 3.35389063780494 \tabularnewline
Correlation \tabularnewline
correlation used in KDE & -0.35199178667831 \tabularnewline
correlation(x,y) & -0.35199178667831 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=22580&T=1

[TABLE]
[ROW][C]Bandwidth[/C][/ROW]
[ROW][C]x axis[/C][C]18.8470195108673[/C][/ROW]
[ROW][C]y axis[/C][C]3.35389063780494[/C][/ROW]
[ROW][C]Correlation[/C][/ROW]
[ROW][C]correlation used in KDE[/C][C]-0.35199178667831[/C][/ROW]
[ROW][C]correlation(x,y)[/C][C]-0.35199178667831[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=22580&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=22580&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 axis18.8470195108673
y axis3.35389063780494
Correlation
correlation used in KDE-0.35199178667831
correlation(x,y)-0.35199178667831



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')