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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 06:16:25 -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/t1257945452vimqytvs0j5o96f.htm/, Retrieved Fri, 19 Apr 2024 14:06:34 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=55567, Retrieved Fri, 19 Apr 2024 14:06:34 +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] [3/11/2009] [2009-11-02 21:54:51] [b98453cac15ba1066b407e146608df68]
-   PD    [Bivariate Kernel Density Estimation] [WS6: bivariate Ke...] [2009-11-11 13:16:25] [b8ce264f75295a954feffaf60221d1b0] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
100,00
106,54
127,63
141,72
147,95
142,16
147,95
155,82
164,13
159,16
147,14
159,16
178,85
200,44
189,43
160,16
157,02
168,91
173,19
175,83
158,78
166,96
171,24
179,55
191,00
196,41
206,80
208,94
224,86
217,31
229,96
252,36
255,25
290,37
269,67
240,53
252,86
265,51
299,31
297,42
277,09
313,59
335,75
370,67
375,33
358,65
334,80
335,05
364,07
350,47
350,16
393,46
405,29
406,86
426,12
422,97
373,63
335,18
329,89
346,32
100,00
106,54
127,63
141,72
147,95
142,16
147,95
155,82
164,13
159,16
147,14
159,16
178,85
200,44
189,43
160,16
157,02
168,91
173,19
175,83
158,78
166,96
171,24
179,55
191,00
196,41
206,80
208,94
224,86
217,31
229,96
252,36
255,25
290,37
269,67
240,53
252,86
265,51
299,31
297,42
277,09
313,59
335,75
370,67
375,33
358,65
334,80
335,05
364,07
350,47
350,16
393,46
405,29
406,86
426,12
422,97
373,63
335,18
329,89
346,32
Dataseries Y:
Download CSV
Histogram 
100,00
100,28
100,00
98,62
98,35
98,35
104,68
104,13
103,58
104,68
104,41
105,79
107,99
108,54
107,99
109,09
107,99
109,09
115,43
115,98
115,70
115,15
112,95
115,15
117,36
117,91
118,46
116,80
116,53
117,63
121,49
123,69
124,52
127,27
125,34
127,00
127,00
127,55
127,27
125,62
125,34
125,62
130,03
130,03
129,75
128,10
126,45
128,10
128,93
128,65
127,55
126,72
127,27
127,00
131,13
131,13
129,75
124,79
122,04
121,76
100,00
100,28
100,00
98,62
98,35
98,35
104,68
104,13
103,58
104,68
104,41
105,79
107,99
108,54
107,99
109,09
107,99
109,09
115,43
115,98
115,70
115,15
112,95
115,15
117,36
117,91
118,46
116,80
116,53
117,63
121,49
123,69
124,52
127,27
125,34
127,00
127,00
127,55
127,27
125,62
125,34
125,62
130,03
130,03
129,75
128,10
126,45
128,10
128,93
128,65
127,55
126,72
127,27
127,00
131,13
131,13
129,75
124,79
122,04
121,76

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=55567&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=55567&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=55567&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 axis22.4763022967402
y axis2.19770085018632
Correlation
correlation used in KDE0.887065592698539
correlation(x,y)0.887065592698539

\begin{tabular}{lllllllll}
\hline
Bandwidth \tabularnewline
x axis & 22.4763022967402 \tabularnewline
y axis & 2.19770085018632 \tabularnewline
Correlation \tabularnewline
correlation used in KDE & 0.887065592698539 \tabularnewline
correlation(x,y) & 0.887065592698539 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=55567&T=1

[TABLE]
[ROW][C]Bandwidth[/C][/ROW]
[ROW][C]x axis[/C][C]22.4763022967402[/C][/ROW]
[ROW][C]y axis[/C][C]2.19770085018632[/C][/ROW]
[ROW][C]Correlation[/C][/ROW]
[ROW][C]correlation used in KDE[/C][C]0.887065592698539[/C][/ROW]
[ROW][C]correlation(x,y)[/C][C]0.887065592698539[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=55567&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=55567&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 axis22.4763022967402
y axis2.19770085018632
Correlation
correlation used in KDE0.887065592698539
correlation(x,y)0.887065592698539


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')