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Author's title

Author

*The author of this computation has been verified*

R Software Module

rwasp_bidensity.wasp

Title produced by software

Bivariate Kernel Density Estimation

Date of computation

Fri, 30 Oct 2009 10:11:35 -0600

Cite this page as follows

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Oct/30/t1256919156f4rizsho53xh57o.htm/, Retrieved Sun, 28 Apr 2024 19:28:00 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=52147, Retrieved Sun, 28 Apr 2024 19:28:00 +0000

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Original text written by user:

katrien.deroover@student.lessius.eu

IsPrivate?

No (this computation is public)

User-defined keywords

WS4 deel 2 model 2 kernel density

Estimated Impact

153

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)

-     [Bivariate Data Series] [Bivariate dataset] [2008-01-05 23:51:08] [74be16979710d4c4e7c6647856088456]
-   PD  [Bivariate Data Series] [WS4 part 1 scatte...] [2009-10-30 13:19:29] [c620fe7250af73a91c51407172a85dab]
- RMP     [Bivariate Explorative Data Analysis] [WS4 part 1] [2009-10-30 13:27:38] [c620fe7250af73a91c51407172a85dab]
- RMPD        [Bivariate Kernel Density Estimation] [WS4 deel 2 model ...] [2009-10-30 16:11:35] [b4ff140915b3f24d4faed3d78f95eba4] [Current]

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Dataseries X:

Download CSV

Histogram

Boxplots

2.406945108
2.388762789
2.302585093
2.219203484
2.219203484
2.251291799
2.261763098
2.251291799
2.208274414
2.186051277
2.197224577
2.312535424
2.332143895
2.32238772
2.261763098
2.219203484
2.2300144
2.240709689
2.240709689
2.219203484
2.197224577
2.197224577
2.197224577
2.282382386
2.302585093
2.282382386
2.2300144
2.197224577
2.197224577
2.208274414
2.208274414
2.208274414
2.219203484
2.174751721
2.116255515
2.128231706
2.091864062
2.041220329
2.066862759
2.066862759
2.079441542
2.066862759
2.028148247
1.960094784
1.916922612
1.871802177
1.931521412
2.104134154
2.163323026
2.116255515
2.066862759
2.014903021
2.054123734
2.116255515
2.128231706
2.104134154
2.041220329
1.974081026
1.987874348
2.091864062

Dataseries Y:

Download CSV

Histogram

2.079441542
2.091864062
2.041220329
2.014903021
2.028148247
2.054123734
2.054123734
2.054123734
2.014903021
2.014903021
1.960094784
2.014903021
2.014903021
2.028148247
2.041220329
2.041220329
2.066862759
2.091864062
2.104134154
2.104134154
2.104134154
2.066862759
1.987874348
1.931521412
1.887069649
1.902107526
1.931521412
1.945910149
1.960094784
1.974081026
1.960094784
1.931521412
1.945910149
1.916922612
1.85629799
1.902107526
1.887069649
1.85629799
1.840549633
1.824549292
1.871802177
1.916922612
1.916922612
1.85629799
1.808288771
1.757857918
1.808288771
1.974081026
1.987874348
1.931521412
1.808288771
1.757857918
1.824549292
1.960094784
2.041220329
2.066862759
2.041220329
2.00148
2.014903021
2.079441542

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	1 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=52147&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=52147&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=52147&T=0

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	1 seconds
R Server	'Gwilym Jenkins' @ 72.249.127.135

Bandwidth
x axis	0.0433109100981848
y axis	0.0386738026342667
Correlation
correlation used in KDE	0.627266808585712
correlation(x,y)	0.627266808585712

\begin{tabular}{lllllllll}
\hline
Bandwidth \tabularnewline
x axis & 0.0433109100981848 \tabularnewline
y axis & 0.0386738026342667 \tabularnewline
Correlation \tabularnewline
correlation used in KDE & 0.627266808585712 \tabularnewline
correlation(x,y) & 0.627266808585712 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=52147&T=1

[TABLE]
[ROW][C]Bandwidth[/C][/ROW]
[ROW][C]x axis[/C][C]0.0433109100981848[/C][/ROW]
[ROW][C]y axis[/C][C]0.0386738026342667[/C][/ROW]
[ROW][C]Correlation[/C][/ROW]
[ROW][C]correlation used in KDE[/C][C]0.627266808585712[/C][/ROW]
[ROW][C]correlation(x,y)[/C][C]0.627266808585712[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=52147&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=52147&T=1

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

Bandwidth
x axis	0.0433109100981848
y axis	0.0386738026342667
Correlation
correlation used in KDE	0.627266808585712
correlation(x,y)	0.627266808585712

Figure 1

PNG link

Postscript link

PDF link

Parameters (Session):

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')

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code