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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, 28 Oct 2009 16:12:59 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Oct/28/t1256768319fq8gdvro6skc0qr.htm/, Retrieved Sun, 05 May 2024 22:06:16 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=51885, Retrieved Sun, 05 May 2024 22:06:16 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsWS4D2M2BDMLDG
Estimated Impact115
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Bivariate Explorative Data Analysis] [Workshop 4: deel ...] [2009-10-28 16:09:47] [7c2a5b25a196bd646844b8f5223c9b3e]
- RMPD    [Bivariate Kernel Density Estimation] [Workshop 4: deel ...] [2009-10-28 22:12:59] [3d2053c5f7c50d3c075d87ce0bd87294] [Current]
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Dataseries X:
3.109060959
3.310543013
3.310543013
3.414442608
3.56671182
3.234749174
3.310543013
3.27336401
3.478158423
3.346389145
3.346389145
3.414442608
3.5085559
3.310543013
3.152736022
3.015534901
3.109060959
3.194583132
3.194583132
3.27336401
3.380994674
3.346389145
3.109060959
2.912350665
3.234749174
3.310543013
3.152736022
2.734367509
2.965273066
3.27336401
3.414442608
3.310543013
3.310543013
3.063390922
3.310543013
3.414442608
3.538056564
3.5085559
3.594568775
3.56671182
3.621670704
3.5085559
3.56671182
3.478158423
3.346389145
3.346389145
3.446807893
3.5085559
3.5085559
3.346389145
3.478158423
3.414442608
3.346389145
3.27336401
3.310543013
3.194583132
2.965273066
3.152736022
2.912350665
2.912350665
2.517696473
2.341805806
2.00148
1
2.174751721
2.186051277
2.564949357
2.884800713
2.587764035
Dataseries Y:
3.861884491
3.86432807
3.864492015
3.863257308
3.860453306
3.849318732
3.844063366
3.844181192
3.845531265
3.835138386
3.840896665
3.843161358
3.848062114
3.850490024
3.851442229
3.853087325
3.851779838
3.840943954
3.834650174
3.835185604
3.840041333
3.85185285
3.855980758
3.85724753
3.854755941
3.861171308
3.865913967
3.869739954
3.86908917
3.85765146
3.84534727
3.838506216
3.853366873
3.8585208
3.864809349
3.865086762
3.871043125
3.873953266
3.871181262
3.874806751
3.874289451
3.854408916
3.840662338
3.833562198
3.850478329
3.861866435
3.865858029
3.872258448
3.872886015
3.876970667
3.873825677
3.878687726
3.872366111
3.860679016
3.848518938
3.84031302
3.86456395
3.879947833
3.893237105
3.903049256
3.912810243
3.919609086
3.930075738
3.933031449
3.933305731
3.926413182
3.910060531
3.903890717
3.922433331




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'George Udny Yule' @ 72.249.76.132

\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 & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=51885&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=51885&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=51885&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 Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'George Udny Yule' @ 72.249.76.132







Bandwidth
x axis0.0865559939171034
y axis0.0073448541207902
Correlation
correlation used in KDE-0.747041102733847
correlation(x,y)-0.747041102733847

\begin{tabular}{lllllllll}
\hline
Bandwidth \tabularnewline
x axis & 0.0865559939171034 \tabularnewline
y axis & 0.0073448541207902 \tabularnewline
Correlation \tabularnewline
correlation used in KDE & -0.747041102733847 \tabularnewline
correlation(x,y) & -0.747041102733847 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=51885&T=1

[TABLE]
[ROW][C]Bandwidth[/C][/ROW]
[ROW][C]x axis[/C][C]0.0865559939171034[/C][/ROW]
[ROW][C]y axis[/C][C]0.0073448541207902[/C][/ROW]
[ROW][C]Correlation[/C][/ROW]
[ROW][C]correlation used in KDE[/C][C]-0.747041102733847[/C][/ROW]
[ROW][C]correlation(x,y)[/C][C]-0.747041102733847[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=51885&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=51885&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 axis0.0865559939171034
y axis0.0073448541207902
Correlation
correlation used in KDE-0.747041102733847
correlation(x,y)-0.747041102733847



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')