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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 computationSun, 09 Oct 2011 13:49:33 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Oct/09/t1318182588f8rh77v2j1vuy4d.htm/, Retrieved Sun, 10 Nov 2024 18:09:20 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=127463, Retrieved Sun, 10 Nov 2024 18:09:20 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact167

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [Bivariate Kernel Density Estimation] [Connected vs Sepa...] [2010-10-04 07:40:49] [b98453cac15ba1066b407e146608df68]
- R P     [Bivariate Kernel Density Estimation] [Task 7.2] [2011-10-09 17:49:33] [204816f6f70a8d342ddc2b9d4f4a80d3] [Current]
-           [Bivariate Kernel Density Estimation] [Bivariate Kernel ...] [2012-12-05 15:47:08] [f8da7216ca6ab56f40bda6dd57b36742]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
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33
29
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41
27
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36
40
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32
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36
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37
27
33
42
33
33
33
38
37
35
33
39
38
39
38
30
43
34
39
36
32
37
42
40
35
39
34
28
30
36
31
34
33
37
40
39
42
47
38
38
40
37
29
37
37
33
31
36
37
39
35
33
37
42
31
32
36
32
40
32
30
37
42
37
47
37
31
41
44
40
37
33
35
40
38
36
36
35
30
37
43
33
39
38
40
29
35
37
26
28
38
29
35
38
39
44
33
35
42
30
36
40
39
36
37
37
37
36
30
32
35
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35
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39
41
34
30
29
33
40
32
37
37
36
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40
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32
40
38
35
34
38
24
39
42
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35
37
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33
42
30
30
40
49
39
29
39
35
35
34
24
47
24
30
34
41
32
32
35
37
40
45
35
39
46
33
40
35
38
36
34
30
44
37
36
37
34
43
31
34
38
38
34
26
36
35
37
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43
29
30
36
38
43
41
31
36
44
35
42
31
38
34
40
41
30
43
Dataseries Y:
Download CSV
Histogram 
30
28
31
35
35
37
39
31
38
37
37
35
37
42
28
37
36
37
33
40
30
36
33
40
37
37
39
35
36
34
36
32
33
27
37
32
31
31
32
37
25
30
37
37
40
35
35
43
32
42
35
27
30
31
36
36
41
34
36
33
35
28
33
38
37
39
34
32
36
36
35
33
42
36
33
36
32
35
38
33
32
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30
38
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31
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31
34
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28
36
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35
35
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34
36
35
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33
37
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32
37
27
35
37
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31
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30
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27
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35
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36
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31
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48
33
36
40
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34
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39
28
26
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30
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40
38
35
33
34
33
41
36
27
33
38
31
31
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34
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36
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32
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34
37
37
41
27
31
38
30
36
30
34
32
29
29
39
32
30
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30
40
41
38
37
33
34
36
39
41
42
38
40
32
40
37
36
28
36
35
32
38
32
39
39
31
33
46
38
24
28
35
39
37
38
38
32
36
28
38
28
37
28
40
34
33
32
30
33
37
39
42
36
35
32
35
33
36
31
32
38
46
39
31
39
36
37
33
22
42
28
28
31
36
37
35
31
37
38
46
40
43
49
39
37
36
31
32
38
37
36
21
32
36
35
39
28
42
36
41
30
18
37
28
39
40
44
26
34
37
37
32
29
31
32
44
39
39
35
36
33
35
35
30
38

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'AstonUniversity' @ aston.wessa.net

\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 & 'AstonUniversity' @ aston.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=127463&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]'AstonUniversity' @ aston.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=127463&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=127463&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'AstonUniversity' @ aston.wessa.net






Bandwidth
x axis1.49671962080113
y axis1.30492764651663
Correlation
correlation used in KDE0.52595026181494
correlation(x,y)0.52595026181494

\begin{tabular}{lllllllll}
\hline
Bandwidth \tabularnewline
x axis & 1.49671962080113 \tabularnewline
y axis & 1.30492764651663 \tabularnewline
Correlation \tabularnewline
correlation used in KDE & 0.52595026181494 \tabularnewline
correlation(x,y) & 0.52595026181494 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=127463&T=1

[TABLE]
[ROW][C]Bandwidth[/C][/ROW]
[ROW][C]x axis[/C][C]1.49671962080113[/C][/ROW]
[ROW][C]y axis[/C][C]1.30492764651663[/C][/ROW]
[ROW][C]Correlation[/C][/ROW]
[ROW][C]correlation used in KDE[/C][C]0.52595026181494[/C][/ROW]
[ROW][C]correlation(x,y)[/C][C]0.52595026181494[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=127463&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=127463&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 axis1.49671962080113
y axis1.30492764651663
Correlation
correlation used in KDE0.52595026181494
correlation(x,y)0.52595026181494


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 50 ; par2 = 50 ; par3 = 0 ; par4 = 0 ; par5 = 0 ; par6 = Y ; par7 = Y ; par8 = terrain.colors ;
Parameters (R input):
par1 = 50 ; par2 = 50 ; par3 = 0 ; par4 = 0 ; par5 = 0 ; par6 = Y ; par7 = Y ; par8 = terrain.colors ;
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')