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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_bidensity.wasp
Title produced by softwareBivariate Kernel Density Estimation
Date of computationSat, 03 Nov 2007 08:13:01 -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/2007/Nov/03/ox5wjh11brrkudk1194102775.htm/, Retrieved Sun, 05 May 2024 07:57:19 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=232, Retrieved Sun, 05 May 2024 07:57:19 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsTaak4.1G19
Estimated Impact211

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] [Bivariate Kernel ...] [2007-11-03 15:13:01] [6b5c00822e2ce0f7cf73539c28d95782] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
106.48
106.83
107.14
107.94
108.46
108.81
108.92
108.99
109.16
109.22
109.43
109.23
109.93
110.09
110.33
110.11
110.35
110.09
110.44
110.39
110.62
110.43
110.46
110.55
110.94
111.56
111.82
111.73
111.57
111.85
112.06
112.2
112.47
112.15
112.36
112.32
112.67
113.02
113.05
113.5
113.67
113.65
114
114.03
114.08
114.49
114.48
114.25
114.68
115.28
115.9
115.87
116.09
116.29
116.76
116.78
116.65
116.46
116.82
116.91
Dataseries Y:
Download CSV
Histogram 
103,7
103,75
103,85
104,02
104,13
104,17
104,18
104,2
104,5
104,78
104,88
104,89
104,9
104,95
105,24
105,35
105,44
105,46
105,47
105,48
105,75
106,1
106,19
106,23
106,24
106,25
106,35
106,48
106,52
106,55
106,55
106,56
106,89
107,09
107,24
107,28
107,3
107,31
107,47
107,35
107,31
107,32
107,32
107,34
107,53
107,72
107,75
107,79
107,81
107,9
107,8
107,86
107,8
107,74
107,75
107,83
107,8
107,81
107,86
107,83

Tables (Output of Computation)





Summary of compuational 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 compuational 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=232&T=0

[TABLE]
[ROW][C]Summary of compuational 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=232&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=232&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 compuational 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 axis1.32591847434039
y axis0.405609620030527
Correlation
correlation used in KDE0.9438938146598
correlation(x,y)0.9438938146598

\begin{tabular}{lllllllll}
\hline
Bandwidth \tabularnewline
x axis & 1.32591847434039 \tabularnewline
y axis & 0.405609620030527 \tabularnewline
Correlation \tabularnewline
correlation used in KDE & 0.9438938146598 \tabularnewline
correlation(x,y) & 0.9438938146598 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=232&T=1

[TABLE]
[ROW][C]Bandwidth[/C][/ROW]
[ROW][C]x axis[/C][C]1.32591847434039[/C][/ROW]
[ROW][C]y axis[/C][C]0.405609620030527[/C][/ROW]
[ROW][C]Correlation[/C][/ROW]
[ROW][C]correlation used in KDE[/C][C]0.9438938146598[/C][/ROW]
[ROW][C]correlation(x,y)[/C][C]0.9438938146598[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=232&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=232&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 axis1.32591847434039
y axis0.405609620030527
Correlation
correlation used in KDE0.9438938146598
correlation(x,y)0.9438938146598


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')