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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 computationMon, 14 Nov 2011 14:08:14 -0500
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/Nov/14/t13212977220ysxh98png2cimp.htm/, Retrieved Fri, 26 Apr 2024 06:48:02 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=142288, Retrieved Fri, 26 Apr 2024 06:48:02 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact104

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Pearson Correlation] [Connected vs Sepa...] [2010-10-04 07:35:56] [b98453cac15ba1066b407e146608df68]
- RMPD    [Bivariate Kernel Density Estimation] [] [2011-11-14 19:08:14] [87b6e955a128bfb8d1e350b3ce0d281e] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
14.69
20.15
11.78
21.47
17.54
21.47
18.55
14.33
8.78
17.66
19.64
13.25
16.17
9.66
20.45
24.21
19.65
21.33
14.47
16.22
16.66
19.87
14.55
19.41
20.63
9.12
8.36
19.36
25.78
14.66
27.55
22.63
30.33
22.22
11.99
9.47
10.33
15.36
14.99
17.31
18.94
16.54
18.21
11.74
17.41
9.99
21.14
19.70
14.87
19.65
27.65
13.45
20.00
13.47
18.54
20.00
11.47
28.65
24.14
19.87
17.65
13.69
15.47
11.63
10.24
13.54
11.00
19.74
21.25
29.54
11.41
10.87
8.47
12.69
10.14
18.63
22.54
17.65
16.41
17.65
19.87
21.45
22.65
20.69
23.74
20.96
18.35
17.84
20.54
21.63
27.61
19.47
23.52
25.64
19.33
20.64
18.98
15.67
23.74
22.89
24.66
29.40
19.87
17.55
15.94
21.74
23.51
24.84
18.47
21.01
16.74
27.45
19.54
17.74
21.65
24.74
26.89
23.22
20.16
21.88
Dataseries Y:
Download CSV
Histogram 
11.54
25.47
34.78
29.21
43.9
33.47
55.10
48.13
33.25
25.33
26.98
88.74
36.54
11.78
29.11
32.47
36.99
27.55
18.55
14.33
8.78
40.55
22.63
20.47
60.03
50.14
30.63
36.99
27.55
18.55
14.33
21.63
36.12
23.69
54.12
45.16
69.41
41.96
13.25
26.98
88.74
36.54
11.78
29.11
32.47
55.17
17.66
19.64
44.47
50.17
21.63
36.12
23.69
33.25
25.33
26.98
14.33
8.78
17.66
19.64
13.25
16.17
9.66
20.45
24.21
19.65
21.25
33.64
25.44
60.74
71.33
55.21
66.23
19.65
23.52
25.64
19.33
20.64
18.98
15.67
20.00
11.47
28.65
24.14
19.87
17.65
30.54
28.57
29.65
31.22
32.00
19.64
41.88
45.98
34.12
30.88
25.96
20.33
26.98
27.12
21.66
27.96
28.63
29.10
34.25
39.77
41.23
14.10
19.54
8.78
24.55
34.87
31.47
21.65
19.77
9.23
7.55
22.44
16.89
47.55

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time5 seconds
R Server'Gertrude Mary Cox' @ cox.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 & 5 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=142288&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]5 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=142288&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=142288&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 time5 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net






Bandwidth
x axis1.64470561816586
y axis4.58704220247907
Correlation
correlation used in KDE-0.206488083663184
correlation(x,y)-0.206488083663184

\begin{tabular}{lllllllll}
\hline
Bandwidth \tabularnewline
x axis & 1.64470561816586 \tabularnewline
y axis & 4.58704220247907 \tabularnewline
Correlation \tabularnewline
correlation used in KDE & -0.206488083663184 \tabularnewline
correlation(x,y) & -0.206488083663184 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=142288&T=1

[TABLE]
[ROW][C]Bandwidth[/C][/ROW]
[ROW][C]x axis[/C][C]1.64470561816586[/C][/ROW]
[ROW][C]y axis[/C][C]4.58704220247907[/C][/ROW]
[ROW][C]Correlation[/C][/ROW]
[ROW][C]correlation used in KDE[/C][C]-0.206488083663184[/C][/ROW]
[ROW][C]correlation(x,y)[/C][C]-0.206488083663184[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=142288&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=142288&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 axis1.64470561816586
y axis4.58704220247907
Correlation
correlation used in KDE-0.206488083663184
correlation(x,y)-0.206488083663184


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
if (par8 == 'terrain.colors') mycol <- terrain.colors(100)
if (par8 == 'rainbow') mycol <- rainbow(100)
if (par8 == 'heat.colors') mycol <- heat.colors(100)
if (par8 == 'topo.colors') mycol <- topo.colors(100)
if (par8 == 'cm.colors') mycol <- cm.colors(100)
bitmap(file='bidensity.png')
op <- KernSur(x,y, xgridsize=par1, ygridsize=par2, correlation=par5, xbandwidth=par3, ybandwidth=par4)
image(op$xords, op$yords, op$zden, col=mycol, axes=TRUE,main=main,xlab=xlab,ylab=ylab)
if (par6=='Y') contour(op$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')