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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, 17 Dec 2014 23:47:51 +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/2014/Dec/17/t1418860098xgbqg5vr7go76dj.htm/, Retrieved Thu, 16 May 2024 07:07:45 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=270740, Retrieved Thu, 16 May 2024 07:07:45 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact50

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] [Connected vs Sepa...] [2010-10-04 07:42:21] [b98453cac15ba1066b407e146608df68]
- RMP   [Bivariate Kernel Density Estimation] [] [2014-10-08 20:36:04] [5efa6717cfe6505454df834acc87b53b]
-    D      [Bivariate Kernel Density Estimation] [] [2014-12-17 23:47:51] [4621f922aed0297f88122271e88ec2ef] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
86
70
71
108
64
119
97
129
153
78
80
99
68
147
40
57
120
71
84
68
137
79
101
111
189
66
81
63
69
71
64
143
85
86
55
69
120
96
60
95
100
68
57
105
85
103
57
51
69
41
49
50
93
58
54
74
15
69
107
65
58
107
70
53
136
126
95
69
136
58
118
82
50
102
65
90
64
83
70
50
77
37
81
101
79
71
60
55
44
40
56
43
45
32
56
40
34
89
50
56
76
64
74
57
30
62
51
36
Dataseries Y:
Download CSV
Histogram 
68
39
32
62
33
52
62
77
76
41
48
63
30
78
19
31
66
35
42
45
25
44
54
74
80
42
61
41
46
39
34
51
42
31
39
20
49
53
31
39
54
49
34
46
55
42
50
13
37
25
30
28
45
35
28
41
6
45
73
17
40
64
37
25
65
100
28
35
56
29
59
50
3
59
27
61
28
51
35
29
48
25
44
64
32
20
28
34
31
26
58
23
21
21
33
16
20
37
35
33
41
40
35
28
22
44
27
17

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'Sir Maurice George Kendall' @ kendall.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 & 1 seconds \tabularnewline
R Server & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=270740&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]'Sir Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=270740&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=270740&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'Sir Maurice George Kendall' @ kendall.wessa.net






Bandwidth
x axis9.83409262629508
y axis6.35337877081182
Correlation
correlation used in KDE0.781440723768047
correlation(x,y)0.781440723768047

\begin{tabular}{lllllllll}
\hline
Bandwidth \tabularnewline
x axis & 9.83409262629508 \tabularnewline
y axis & 6.35337877081182 \tabularnewline
Correlation \tabularnewline
correlation used in KDE & 0.781440723768047 \tabularnewline
correlation(x,y) & 0.781440723768047 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=270740&T=1

[TABLE]
[ROW][C]Bandwidth[/C][/ROW]
[ROW][C]x axis[/C][C]9.83409262629508[/C][/ROW]
[ROW][C]y axis[/C][C]6.35337877081182[/C][/ROW]
[ROW][C]Correlation[/C][/ROW]
[ROW][C]correlation used in KDE[/C][C]0.781440723768047[/C][/ROW]
[ROW][C]correlation(x,y)[/C][C]0.781440723768047[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=270740&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=270740&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 axis9.83409262629508
y axis6.35337877081182
Correlation
correlation used in KDE0.781440723768047
correlation(x,y)0.781440723768047


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')