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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 computationFri, 13 Nov 2009 07:45:51 -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/13/t1258123614oc4twlzczqvy2yg.htm/, Retrieved Sun, 05 May 2024 10:54:50 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=56729, Retrieved Sun, 05 May 2024 10:54:50 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact122

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]
- R PD    [Bivariate Kernel Density Estimation] [Bivariate Kernel ...] [2009-11-13 14:45:51] [d1856923bab8a0db5ebd860815c7444f] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
2.67
2.72
2.84
3
3.08
3.21
3.44
3.74
4.08
4.79
5.44
6.02
6.01
5.85
5.93
5.85
5.74
5.75
5.78
5.62
5.67
5.89
5.67
5.64
5.64
5.64
5.54
5.52
5.28
5.25
5.23
5.09
5
5.02
4.8
4.71
4.51
4.51
4.42
4.4
4.25
4.18
4.09
3.97
3.89
4.02
3.81
3.67
3.68
3.66
3.66
3.65
3.67
3.66
3.7
3.77
3.74
3.8
3.79
3.75
Dataseries Y:
Download CSV
Histogram 
1.74
1.75
1.83
2.09
2.12
2.29
2.4
2.82
3.18
4
4.8
5.28
5.37
5.27
5.33
5.23
5.08
5.11
5.1
4.97
5
5.2
4.9
4.82
5.04
4.82
4.77
4.79
4.58
4.59
4.57
4.35
4.27
4.39
3.97
3.84
3.73
3.58
3.45
3.44
3.25
3.25
3.02
2.87
2.92
2.95
2.75
2.7
2.75
2.72
2.71
2.76
2.68
2.78
2.86
2.75
2.87
2.91
2.79
2.77

Tables (Output of Computation)





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=56729&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=56729&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=56729&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 time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Bandwidth
x axis0.288730491445663
y axis0.304019795550464
Correlation
correlation used in KDE0.997232832625014
correlation(x,y)0.997232832625014

\begin{tabular}{lllllllll}
\hline
Bandwidth \tabularnewline
x axis & 0.288730491445663 \tabularnewline
y axis & 0.304019795550464 \tabularnewline
Correlation \tabularnewline
correlation used in KDE & 0.997232832625014 \tabularnewline
correlation(x,y) & 0.997232832625014 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=56729&T=1

[TABLE]
[ROW][C]Bandwidth[/C][/ROW]
[ROW][C]x axis[/C][C]0.288730491445663[/C][/ROW]
[ROW][C]y axis[/C][C]0.304019795550464[/C][/ROW]
[ROW][C]Correlation[/C][/ROW]
[ROW][C]correlation used in KDE[/C][C]0.997232832625014[/C][/ROW]
[ROW][C]correlation(x,y)[/C][C]0.997232832625014[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=56729&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=56729&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 axis0.288730491445663
y axis0.304019795550464
Correlation
correlation used in KDE0.997232832625014
correlation(x,y)0.997232832625014


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')