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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 computationFri, 03 Dec 2010 09:26:33 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Dec/03/t1291368272x6cabt35hvxmau2.htm/, Retrieved Tue, 07 May 2024 09:51:57 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=104552, Retrieved Tue, 07 May 2024 09:51:57 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact151
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Mean Plot] [Gilliam Schoorel] [2008-11-06 14:07:56] [666bda00bbd072dde5655a1423b1377b]
- RMPD  [Bivariate Kernel Density Estimation] [correlatie suiker...] [2008-12-09 15:39:30] [f77c9ab3b413812d7baee6b7ec69a15d]
-  M D      [Bivariate Kernel Density Estimation] [Bakmeel en groot ...] [2010-12-03 09:26:33] [2fa539864aa87c5da4977c85c6885fac] [Current]
-             [Bivariate Kernel Density Estimation] [Bakmeel en groot ...] [2010-12-03 09:29:49] [ff7c1e95cf99a1dae07ec89975494dde]
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Dataseries X:
0.81
0.81
0.81
0.79
0.78
0.78
0.77
0.78
0.77
0.78
0.79
0.79
0.79
0.79
0.79
0.8
0.8
0.8
0.8
0.81
0.8
0.82
0.85
0.85
0.86
0.85
0.83
0.81
0.82
0.82
0.78
0.78
0.73
0.68
0.65
0.62
0.6
0.6
0.59
0.6
0.6
0.6
0.59
0.58
0.56
0.55
0.54
0.55
0.55
0.54
0.54
0.54
0.53
0.53
0.53
0.53
Dataseries Y:
1.88
1.87
1.88
1.87
1.88
1.87
1.87
1.87
1.87
1.87
1.87
1.87
1.87
1.87
1.87
1.87
1.87
1.87
1.87
1.87
1.88
1.88
1.87
1.87
1.87
1.87
1.87
1.87
1.87
1.86
1.86
1.85
1.84
1.83
1.82
1.78
1.75
1.74
1.74
1.74
1.73
1.73
1.73
1.71
1.7
1.7
1.69
1.68
1.68
1.68
1.68
1.67
1.66
1.65
1.65
1.65




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=104552&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]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=104552&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=104552&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'Sir Ronald Aylmer Fisher' @ 193.190.124.24







Bandwidth
x axis0.0255852939347273
y axis0.0162492943866242
Correlation
correlation used in KDE0.972570264315245
correlation(x,y)0.972570264315245

\begin{tabular}{lllllllll}
\hline
Bandwidth \tabularnewline
x axis & 0.0255852939347273 \tabularnewline
y axis & 0.0162492943866242 \tabularnewline
Correlation \tabularnewline
correlation used in KDE & 0.972570264315245 \tabularnewline
correlation(x,y) & 0.972570264315245 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=104552&T=1

[TABLE]
[ROW][C]Bandwidth[/C][/ROW]
[ROW][C]x axis[/C][C]0.0255852939347273[/C][/ROW]
[ROW][C]y axis[/C][C]0.0162492943866242[/C][/ROW]
[ROW][C]Correlation[/C][/ROW]
[ROW][C]correlation used in KDE[/C][C]0.972570264315245[/C][/ROW]
[ROW][C]correlation(x,y)[/C][C]0.972570264315245[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=104552&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=104552&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 axis0.0255852939347273
y axis0.0162492943866242
Correlation
correlation used in KDE0.972570264315245
correlation(x,y)0.972570264315245



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')