FreeStatistics.org

Free Statistics

of Irreproducible Research!

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 computationFri, 24 Dec 2010 13:27:15 +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/24/t12931971309ek53s83eb5bu2j.htm/, Retrieved Tue, 30 Apr 2024 01:27:08 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=114920, Retrieved Tue, 30 Apr 2024 01:27:08 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact129

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] [p_Stress_BKD1] [2010-12-18 02:33:53] [19f9551d4d95750ef21e9f3cf8fe2131]
-    D  [Bivariate Kernel Density Estimation] [p_stress_BKD2] [2010-12-18 11:24:48] [19f9551d4d95750ef21e9f3cf8fe2131]
-    D      [Bivariate Kernel Density Estimation] [p_Stress_BK1v3] [2010-12-24 13:27:15] [fca744d17b21beb005bf086e7071b2bb] [Current]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
17
20
16
16
13
16
19
18
18
20
17
13
22
20
19
18
19
18
19
18
20
14
25
22
16
17
16
25
18
24
19
18
13
16
20
16
17
16
17
17
18
17
14
19
15
17
18
17
14
20
21
17
17
20
16
19
19
17
17
17
24
15
20
21
20
17
19
17
21
16
15
21
18
16
17
19
18
15
17
17
19
19
25
17
16
18
18
19
19
18
20
20
20
22
19
17
20
22
16
20
19
13
18
17
17
22
22
19
16
19
19
20
17
19
17
20
12
17
17
17
17
18
16
16
19
15
19
18
18
18
18
21
17
14
19
16
20
14
25
17
12
16
Dataseries Y:
Download CSV
Histogram 
10
6
13
12
8
6
10
10
9
9
7
5
14
8
6
10
10
7
10
8
6
13
10
12
7
15
8
10
9
13
8
11
7
9
10
8
15
9
7
11
9
8
8
12
12
13
9
9
7
11
8
10
13
12
12
9
8
9
12
12
16
11
13
10
9
14
13
12
9
9
10
8
9
9
11
12
7
11
9
11
9
8
9
8
9
10
9
10
11
17
7
11
9
10
11
8
12
10
7
9
7
12
8
13
9
15
8
9
14
14
9
13
11
10
6
8
10
10
10
10
12
10
9
9
11
7
7
5
9
11
15
9
9
9
8
13
10
13
9
11
9
8

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=114920&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=114920&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=114920&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 axis0.557867822661687
y axis0.754896026088961
Correlation
correlation used in KDE0.099443673718936
correlation(x,y)0.099443673718936

\begin{tabular}{lllllllll}
\hline
Bandwidth \tabularnewline
x axis & 0.557867822661687 \tabularnewline
y axis & 0.754896026088961 \tabularnewline
Correlation \tabularnewline
correlation used in KDE & 0.099443673718936 \tabularnewline
correlation(x,y) & 0.099443673718936 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=114920&T=1

[TABLE]
[ROW][C]Bandwidth[/C][/ROW]
[ROW][C]x axis[/C][C]0.557867822661687[/C][/ROW]
[ROW][C]y axis[/C][C]0.754896026088961[/C][/ROW]
[ROW][C]Correlation[/C][/ROW]
[ROW][C]correlation used in KDE[/C][C]0.099443673718936[/C][/ROW]
[ROW][C]correlation(x,y)[/C][C]0.099443673718936[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=114920&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=114920&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 axis0.557867822661687
y axis0.754896026088961
Correlation
correlation used in KDE0.099443673718936
correlation(x,y)0.099443673718936


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')