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Description of Statistical Computation

Author's title

paper - Bivariate Kernel Density - inflatie energiedragers <=> inflatie onb...

Author*The author of this computation has been verified*
R Software Modulerwasp_bidensity.wasp
Title produced by softwareBivariate Kernel Density Estimation
Date of computationSun, 14 Dec 2008 02:28:51 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Dec/14/t1229247010oszb4m1g1fszgkl.htm/, Retrieved Wed, 15 May 2024 09:08:22 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=33247, Retrieved Wed, 15 May 2024 09:08:22 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact195

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Notched Boxplots] [Bert Moons Paper ...] [2008-12-07 09:21:29] [b6c777429d07a05453509ef079833861]
- RMPD    [Bivariate Kernel Density Estimation] [paper - Bivariate...] [2008-12-14 09:28:51] [1828943283e41f5e3270e2e73d6433b4] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
2,9
2,9
2,9
1,4
1,1
1,9
2,8
1,4
0,7
-0,8
-3,1
0,1
1
1,9
-0,5
1,5
3,9
1,9
2,6
1,7
1,4
2,8
0,5
1
1,5
1,8
2,7
3
-0,3
1,1
1,7
1,6
3
3,3
6,7
5,6
6
4,8
5,9
4,3
3,7
5,6
1,7
3,2
3,6
1,7
0,5
2,1
1,5
2,7
1,4
1,2
2,3
1,6
4,7
3,5
4,4
3,9
3,5
3
Dataseries Y:
Download CSV
Histogram 
0,8
-0,1
-1,5
-4,4
-4,2
3,5
10
8,6
9,5
9,9
10,4
16
12,7
10,2
8,9
12,6
13,6
14,8
9,5
13,7
17
14,7
17,4
9
9,1
12,2
15,9
12,9
10,9
10,6
13,2
9,6
6,4
5,8
-1
-0,2
2,7
3,6
-0,9
0,3
-1,1
-2,5
-3,4
-3,5
-3,9
-4,6
-0,1
4,3
10,2
8,7
13,3
15
20,7
20,7
26,4
31,2
31,4
26,6
26,6
19,2

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=33247&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=33247&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=33247&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 axis0.60186424496882
y axis2.89706462473735
Correlation
correlation used in KDE-0.11404336099371
correlation(x,y)-0.11404336099371

\begin{tabular}{lllllllll}
\hline
Bandwidth \tabularnewline
x axis & 0.60186424496882 \tabularnewline
y axis & 2.89706462473735 \tabularnewline
Correlation \tabularnewline
correlation used in KDE & -0.11404336099371 \tabularnewline
correlation(x,y) & -0.11404336099371 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=33247&T=1

[TABLE]
[ROW][C]Bandwidth[/C][/ROW]
[ROW][C]x axis[/C][C]0.60186424496882[/C][/ROW]
[ROW][C]y axis[/C][C]2.89706462473735[/C][/ROW]
[ROW][C]Correlation[/C][/ROW]
[ROW][C]correlation used in KDE[/C][C]-0.11404336099371[/C][/ROW]
[ROW][C]correlation(x,y)[/C][C]-0.11404336099371[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=33247&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=33247&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 axis0.60186424496882
y axis2.89706462473735
Correlation
correlation used in KDE-0.11404336099371
correlation(x,y)-0.11404336099371


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')