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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 computationThu, 25 Nov 2010 09:30:36 +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/Nov/25/t1290680191gd4g5r96qd5bdbz.htm/, Retrieved Fri, 29 Mar 2024 15:36:21 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=100709, Retrieved Fri, 29 Mar 2024 15:36:21 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact107
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]
F RMPD  [Mean Plot] [Colombia Coffee] [2008-01-07 13:38:24] [74be16979710d4c4e7c6647856088456]
- RMPD      [Bivariate Kernel Density Estimation] [mean plot - Retai...] [2010-11-25 09:30:36] [03bcd8c83ef1a42b4029a16ba47a4880] [Current]
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Dataseries X:
2.2
1.4
3.4
2
2.4
2.4
2.2
2.2
2.4
2.6
2.8
3.2
2.2
2
2.2
3
1.8
2.2
3.4
3.4
2.2
3.6
2.8
2
2.2
3
3
2.6
3.2
2.6
1.8
3.6
3.6
2.4
3.4
1.8
1.8
2.4
3.6
2.4
3.6
2.8
3
3.2
2
2.2
2.8
1.8
2.4
3.4
1
2.4
2.4
1.2
4.8
2.4
2.4
2.8
1.4
2.6
2.4
2.6
2.8
1.6
2.2
1.8
2.2
2.6
2
2.2
2.4
1.8
3
3.6
3
2.4
2.6
2.8
2
2.6
2.6
2.2
2.6
3.2
1.6
3.2
2.2
1.8
3.2
2.4
2.8
1.6
1.8
3
2.2
4.2
2.8
3.6
2.4
2.6
3
2.4
3.8
3
2.2
2.2
2
2.6
3
2.4
2.4
3.2
1.8
3.6
1.6
2.6
3.4
1.8
3
1.6
1.4
2.4
2.8
1.2
1.6
3.4
2
2.2
2.8
2.2
2.6
2.4
2.2
1.8
2.4
4
2.4
2.6
2.4
2.4
1.8
3
4.8
1.4
3.4
2.2
3.4
2.2
2.4
2.8
2.2
3.2
4.2
2.8
4
2.6
2.2
3
3.8
Dataseries Y:
3.43
3.57
4.29
2.71
3.14
3.14
3.57
3.29
2.43
3.00
2.71
2.71
2.14
2.29
3.29
3.86
3.14
2.00
3.14
3.29
3.29
3.00
2.71
2.57
2.86
3.29
3.57
2.71
3.43
3.14
3.57
3.71
4.14
4.57
3.57
4.14
4.00
2.43
4.00
4.14
3.71
3.57
2.00
3.57
3.71
2.86
2.57
4.57
3.57
3.57
3.29
3.00
2.86
2.14
4.29
3.43
3.71
3.43
3.14
2.00
3.43
3.43
3.43
3.43
2.71
4.43
3.14
3.86
2.71
3.57
2.86
3.00
3.86
3.29
3.57
2.86
3.00
3.14
3.29
3.57
3.57
2.43
2.71
3.57
2.71
2.86
3.71
3.29
3.86
2.43
2.43
2.71
2.43
3.14
3.00
4.57
3.00
3.00
2.57
2.57
3.29
2.71
2.86
3.00
2.86
2.43
2.57
2.71
3.14
2.14
2.00
2.57
3.43
5.00
4.14
3.00
3.57
2.86
3.14
1.86
3.71
2.43
3.57
2.86
2.71
3.00
3.14
3.43
3.00
3.71
3.43
2.29
3.29
2.57
2.29
3.71
2.71
3.00
3.00
3.14
3.29
4.14
3.00
3.00
3.29
3.86
3.57
3.00
1.43
2.86
3.71
3.43
4.14
2.71
3.43
2.71
3.43
3.14
2.43




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=100709&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=100709&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=100709&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 axis0.203185379526244
y axis0.228011560661493
Correlation
correlation used in KDE0.243811120194403
correlation(x,y)0.243811120194403

\begin{tabular}{lllllllll}
\hline
Bandwidth \tabularnewline
x axis & 0.203185379526244 \tabularnewline
y axis & 0.228011560661493 \tabularnewline
Correlation \tabularnewline
correlation used in KDE & 0.243811120194403 \tabularnewline
correlation(x,y) & 0.243811120194403 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=100709&T=1

[TABLE]
[ROW][C]Bandwidth[/C][/ROW]
[ROW][C]x axis[/C][C]0.203185379526244[/C][/ROW]
[ROW][C]y axis[/C][C]0.228011560661493[/C][/ROW]
[ROW][C]Correlation[/C][/ROW]
[ROW][C]correlation used in KDE[/C][C]0.243811120194403[/C][/ROW]
[ROW][C]correlation(x,y)[/C][C]0.243811120194403[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=100709&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=100709&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 axis0.203185379526244
y axis0.228011560661493
Correlation
correlation used in KDE0.243811120194403
correlation(x,y)0.243811120194403



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')