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Description of Statistical Computation

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 computationWed, 21 Oct 2009 13:02:21 -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/21/t1256151793q0j706bexcs7eso.htm/, Retrieved Thu, 02 May 2024 00:22:02 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=49593, Retrieved Thu, 02 May 2024 00:22:02 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact134

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Bivariate Kernel Density Estimation] [] [2009-10-21 19:02:21] [48076ccf082563ab8a2c81e57fdb5364] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
10723,8	
13938,9	
13979,8	
13807,4	
12973,9	
12509,8	
12934,1	
14908,3	
13772,1	
13012,6	
14049,9	
11816,5	
11593,2	
14466,2	
13615,9	
14733,9	
13880,7	
13527,5	
13584	
16170,2	
13260,6	
14741,9	
15486,5	
13154,5	
12621,2	
15031,6	
15452,4	
15428	
13105,9	
14716,8	
14180	
16202,2	
14392,4	
15140,6	
15960,1	
14351,3	
13230,2	
15202,1	
17056	
16077,7	
13348,2	
16402,4	
16559,1	
16579	
17561,2	
16129,6	
18484,3	
16402,6	
14032,3	
17109,1	
17157,2	
13879,8	
12362,4	
12683,5	
12608,8	
13583,7	
12846,3	
12347,1	
13967	
13114,3
Dataseries Y:
Download CSV
Histogram 
10414,9	
12476,8	
12384,6	
12266,7	
12919,9	
11497,3	
12142	
13919,4	
12656,8	
12034,1	
13199,7	
10881,3	
11301,2	
13643,9	
12517	
13981,1	
14275,7	
13435	
13565,7	
16216,3	
12970	
14079,9	
14235	
12213,4	
12581	
14130,4	
14210,8	
14378,5	
13142,8	
13714,7	
13621,9	
15379,8	
13306,3	
14391,2	
14909,9	
14025,4	
12951,2	
14344,3	
16093,4	
15413,6	
14705,7	
15972,8	
16241,4	
16626,4	
17136,2	
15622,9	
18003,9	
16136,1	
14423,7	
16789,4	
16782,2	
14133,8	
12607	
12004,5	
12175,4	
13268	
12299,3	
11800,6	
13873,3	
12269,6

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 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 & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=49593&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=49593&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=49593&T=0

As an alternative you can also use a QR Code:  
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'Gwilym Jenkins' @ 72.249.127.135






Bandwidth
x axis660.446272755212
y axis609.836169175384
Correlation
correlation used in KDE0.94789261083603
correlation(x,y)0.94789261083603

\begin{tabular}{lllllllll}
\hline
Bandwidth \tabularnewline
x axis & 660.446272755212 \tabularnewline
y axis & 609.836169175384 \tabularnewline
Correlation \tabularnewline
correlation used in KDE & 0.94789261083603 \tabularnewline
correlation(x,y) & 0.94789261083603 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=49593&T=1

[TABLE]
[ROW][C]Bandwidth[/C][/ROW]
[ROW][C]x axis[/C][C]660.446272755212[/C][/ROW]
[ROW][C]y axis[/C][C]609.836169175384[/C][/ROW]
[ROW][C]Correlation[/C][/ROW]
[ROW][C]correlation used in KDE[/C][C]0.94789261083603[/C][/ROW]
[ROW][C]correlation(x,y)[/C][C]0.94789261083603[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=49593&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=49593&T=1

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Bandwidth
x axis660.446272755212
y axis609.836169175384
Correlation
correlation used in KDE0.94789261083603
correlation(x,y)0.94789261083603


Figures (Output of Computation)

Input Parameters & R Code

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')