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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 computationTue, 14 Dec 2010 11:43:13 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Dec/14/t1292326957sggouph0waewzhr.htm/, Retrieved Thu, 02 May 2024 20:43:34 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=109440, Retrieved Thu, 02 May 2024 20:43:34 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact90

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] [] [2010-12-14 11:43:13] [5f45e5b827d1a020c3ecc9d930121b4e] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
5
4
5
6
6
6
7
8
7
8
7
8
8
9
9
8
9
9
10
11
12
13
13
13
14
14
15
15
16
16
17
18
19
20
22
20
22
25
24
25
28
26
27
26
25
27
28
30
31
32
34
34
33
32
34
36
37
40
38
38
36
40
40
42
44
45
47
49
47
49
52
50
50
57
58
58
58
61
61
64
68
40
34
46
36
34
45
55
50
56
72
76
78
77
90
88
97
93
84
67
72
75
71
75
90
78
73
62
65
61
58
33
39
56
79
82
79
73
87
85
83
82
83
92
95
97
87
84
84
89
103
106
109
106
105
115
120
124
121
131
139
133
119
123
120
128
134
126
115
106
99
100
99
99
100
100
108
109
115
114
108
113
118
122
118
121
118
121
121
112
119
116
110
111
106
108
Dataseries Y:
Download CSV
Histogram 
8,7
10,6
9,0
9,2
8,3
7,6
9,0
8,2
9,0
8,7
9,1
8,0
7,7
9,9
8,4
9,0
8,8
8,3
8,8
9,8
8,1
8,9
7,4
8,9
9,8
8,5
9,7
7,7
8,8
9,6
9,6
7,8
9,4
9,4
8,8
10,1
9,0
8,0
7,8
10,0
8,9
8,9
8,6
9,0
9,3
8,9
7,0
9,3
8,4
9,0
8,9
9,4
8,3
8,8
7,5
7,5
8,2
8,1
8,2
8,4
9,3
9,2
8,3
8,6
9,2
9,5
9,2
9,4
8,8
8,4
9,3
9,1
8,9
9,3
8,9
8,8
8,6
9,7
10,4
9,7
10,0
9,8
9,3
9,5
8,4
9,8
8,6
9,7
10,5
8,6
9,3
9,1
9,1
9,9
9,3
9,7
8,9
10,0
9,1
9,7
9,1
10,3
9,7
9,6
9,8
9,8
9,8
8,7
9,1
8,9
10,1
9,5
10,3
9,3
10,2
10,1
10,3
9,8
9,8
9,3
9,9
9,3
9,2
8,4
10,1
9,6
10,6
10,0
10,4
8,6
8,4
9,6
9,1
10,0
10,0
9,3
9,6
9,6
9,9
9,3
9,7
10,0
9,9
10,4
9,8
9,4
9,0
9,4
9,7
10,5
10,5
9,9
8,9
9,4
9,2
10,6
11,3
11,2
10,0
10,6
10,1
11,1
10,9
9,1
10,8
10,6
11,1
11,2
10,7
11,2
11,1
10,7
11,0
11,4
11,5
10,9

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'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=109440&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]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=109440&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=109440&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'Sir Ronald Aylmer Fisher' @ 193.190.124.24






Bandwidth
x axis10.3703654788261
y axis0.310372804888886
Correlation
correlation used in KDE0.596722617684531
correlation(x,y)0.596722617684531

\begin{tabular}{lllllllll}
\hline
Bandwidth \tabularnewline
x axis & 10.3703654788261 \tabularnewline
y axis & 0.310372804888886 \tabularnewline
Correlation \tabularnewline
correlation used in KDE & 0.596722617684531 \tabularnewline
correlation(x,y) & 0.596722617684531 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=109440&T=1

[TABLE]
[ROW][C]Bandwidth[/C][/ROW]
[ROW][C]x axis[/C][C]10.3703654788261[/C][/ROW]
[ROW][C]y axis[/C][C]0.310372804888886[/C][/ROW]
[ROW][C]Correlation[/C][/ROW]
[ROW][C]correlation used in KDE[/C][C]0.596722617684531[/C][/ROW]
[ROW][C]correlation(x,y)[/C][C]0.596722617684531[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=109440&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=109440&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 axis10.3703654788261
y axis0.310372804888886
Correlation
correlation used in KDE0.596722617684531
correlation(x,y)0.596722617684531


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')