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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, 11 Nov 2009 05:17:07 -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/Nov/11/t1257941914ubg5co79qlh30hy.htm/, Retrieved Fri, 26 Apr 2024 09:20:35 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=55521, Retrieved Fri, 26 Apr 2024 09:20:35 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact194

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] [3/11/2009] [2009-11-02 21:54:51] [b98453cac15ba1066b407e146608df68]
-   PD    [Bivariate Kernel Density Estimation] [Bivariate Kernel ...] [2009-11-11 12:17:07] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
103.5
103.2
103.1
102.9
102.9
102.9
103.2
103
103.7
104.2
104.7
104.8
104.9
104.8
104.6
104.6
105.2
105.2
105.4
106.1
107.6
107.9
107.9
108.8
109.6
109.5
109.4
109.9
110.7
110
110.4
110.7
110.9
111.2
111.9
112.7
114.1
114.3
114.6
115
115.6
115.6
116.2
116
116.2
116.3
116.1
116.6
116.5
115.7
114.8
114.3
115.2
115.2
114.7
113.8
114.2
114.2
114.1
113.8
113.9
Dataseries Y:
Download CSV
Histogram 
97.9
96.6
96.2
95.8
96
96.2
96.5
95.4
96.2
96.8
97
97.1
96.6
95.8
96.2
96
95.9
95.8
96
96.2
96.8
96.9
97.2
98.9
98.9
98.8
99
99.6
99.9
100.1
99.9
100.5
100.7
101.3
101.3
101.7
103
104.7
104.5
104.6
104.2
104.5
104.8
104.7
104.6
104.5
104.7
104.8
106.2
105.6
104.5
104.2
104.1
103.3
103.8
103.3
103.7
103.5
103.7
103.4
102.8

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'RServer@AstonUniversity' @ vre.aston.ac.uk

\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 & 'RServer@AstonUniversity' @ vre.aston.ac.uk \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=55521&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]'RServer@AstonUniversity' @ vre.aston.ac.uk[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=55521&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=55521&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'RServer@AstonUniversity' @ vre.aston.ac.uk






Bandwidth
x axis1.31724760033274
y axis0.886683629953045
Correlation
correlation used in KDE0.97302670561649
correlation(x,y)0.97302670561649

\begin{tabular}{lllllllll}
\hline
Bandwidth \tabularnewline
x axis & 1.31724760033274 \tabularnewline
y axis & 0.886683629953045 \tabularnewline
Correlation \tabularnewline
correlation used in KDE & 0.97302670561649 \tabularnewline
correlation(x,y) & 0.97302670561649 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=55521&T=1

[TABLE]
[ROW][C]Bandwidth[/C][/ROW]
[ROW][C]x axis[/C][C]1.31724760033274[/C][/ROW]
[ROW][C]y axis[/C][C]0.886683629953045[/C][/ROW]
[ROW][C]Correlation[/C][/ROW]
[ROW][C]correlation used in KDE[/C][C]0.97302670561649[/C][/ROW]
[ROW][C]correlation(x,y)[/C][C]0.97302670561649[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=55521&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=55521&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 axis1.31724760033274
y axis0.886683629953045
Correlation
correlation used in KDE0.97302670561649
correlation(x,y)0.97302670561649


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')