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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 08:05:45 -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/qqi6u2bq1vb6ekp1194102524.htm/, Retrieved Sun, 05 May 2024 05:37:07 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=239, Retrieved Sun, 05 May 2024 05:37:07 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsTaak4.1G19
Estimated Impact187

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 15:05:45] [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 
106,22
106,31
107,38
109,31
110,82
111,22
110,66
110,76
110,69
111,08
110,97
110,24
112,51
111,52
112,13
112,23
112,92
111,89
111,99
111,51
112,33
112,04
112,09
111,41
112,61
113,14
113,65
114,26
114,4
114,93
114,86
114,95
116,17
114,6
114,62
113,82
115,02
115,18
115,59
116,6
117,07
116,96
116,66
116,07
116,04
115,81
116,22
115,85
116,43
117,39
119,17
119,24
120,03
119,34
118,49
118,59
117,5
117,56
118,25
118,01

Tables (Output of Computation)





Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\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 & 3 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ 193.190.124.10:1001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=239&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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ 193.190.124.10:1001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=239&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=239&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 time3 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001






Bandwidth
x axis1.32591847434039
y axis1.26382285443307
Correlation
correlation used in KDE0.967983925213816
correlation(x,y)0.967983925213816

\begin{tabular}{lllllllll}
\hline
Bandwidth \tabularnewline
x axis & 1.32591847434039 \tabularnewline
y axis & 1.26382285443307 \tabularnewline
Correlation \tabularnewline
correlation used in KDE & 0.967983925213816 \tabularnewline
correlation(x,y) & 0.967983925213816 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=239&T=1

[TABLE]
[ROW][C]Bandwidth[/C][/ROW]
[ROW][C]x axis[/C][C]1.32591847434039[/C][/ROW]
[ROW][C]y axis[/C][C]1.26382285443307[/C][/ROW]
[ROW][C]Correlation[/C][/ROW]
[ROW][C]correlation used in KDE[/C][C]0.967983925213816[/C][/ROW]
[ROW][C]correlation(x,y)[/C][C]0.967983925213816[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=239&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=239&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 axis1.26382285443307
Correlation
correlation used in KDE0.967983925213816
correlation(x,y)0.967983925213816


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')