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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 computationSun, 01 Nov 2009 11:15:17 -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/2009/Nov/01/t125709935380okom3xa8lfu4m.htm/, Retrieved Mon, 06 May 2024 14:21:20 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=52380, Retrieved Mon, 06 May 2024 14:21:20 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact142
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Pearson Correlation] [SHW_WS5_Correlation] [2009-10-29 18:55:36] [8b1aef4e7013bd33fbc2a5833375c5f5]
- RM D    [Bivariate Kernel Density Estimation] [ws 5] [2009-11-01 18:15:17] [f7d3e79b917995ba1c8c80042fc22ef9] [Current]
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Dataseries X:
-8.420276058
5.603810549
7.227897157
-0.439987367
-8.023929628
-10.08378528
-10.65969868
-2.827583199
-3.339265638
-2.699121292
5.708907577
-19.42686147
-11.31080373
5.505254006
2.529340614
3.06145609
-4.822486171
-5.698399564
-5.450226349
7.438091212
0.070206688
5.602322165
8.934437641
-17.34950462
-6.409360275
9.214726333
12.15487068
5.578957286
1.503043893
-0.488927238
-0.46484063
12.15121711
4.459245977
6.675303715
11.79939032
-12.67652307
-2.168494201
10.64756354
14.39573675
8.711794491
-0.832003425
4.284054313
7.172371874
9.140978126
10.51323795
9.58549777
13.30155551
-10.16632902
-1.210126931
10.14607515
8.762132891
-0.865607287
-10.54954955
-12.32546294
-11.6094052
-0.077289726
-10.75320312
-6.588972166
-1.932770082
-22.20868347
Dataseries Y:
0.650033625
0.669304839
0.088576053
-0.385728995
-0.272881519
-0.04076283
0.078508384
0.004203336
-0.225135547
-0.293016857
-0.486593119
0.264796785
0.37764426
0.390491736
0.20976295
0.135457902
0.248305378
0.467576592
0.506119019
0.476780137
0.402475088
0.22817004
-0.046135008
0.166712468
0.098831158
0.118102371
0.050221061
-0.030507725
-0.011236511
0.095187227
0.114458441
0.027305917
0.133729654
-0.15342287
-0.634151656
-0.314880442
-0.508456704
-0.795609228
-0.7570668
-0.744219325
-0.499253159
-0.386405683
-0.515744566
-0.680846069
-1.023032427
-1.265218786
-0.85237131
0.373323642
0.618289807
0.263255973
-0.323896551
-0.56608291
-0.253235434
0.56603578
0.878883256
0.904578208
0.623849422
0.275239325
0.420205491
1.139476705




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time7 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 & 7 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=52380&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]7 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=52380&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=52380&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 time7 seconds
R Server'George Udny Yule' @ 72.249.76.132







Bandwidth
x axis3.741948020536
y axis0.227986182409270
Correlation
correlation used in KDE-0.521507701627666
correlation(x,y)-0.521507701627666

\begin{tabular}{lllllllll}
\hline
Bandwidth \tabularnewline
x axis & 3.741948020536 \tabularnewline
y axis & 0.227986182409270 \tabularnewline
Correlation \tabularnewline
correlation used in KDE & -0.521507701627666 \tabularnewline
correlation(x,y) & -0.521507701627666 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=52380&T=1

[TABLE]
[ROW][C]Bandwidth[/C][/ROW]
[ROW][C]x axis[/C][C]3.741948020536[/C][/ROW]
[ROW][C]y axis[/C][C]0.227986182409270[/C][/ROW]
[ROW][C]Correlation[/C][/ROW]
[ROW][C]correlation used in KDE[/C][C]-0.521507701627666[/C][/ROW]
[ROW][C]correlation(x,y)[/C][C]-0.521507701627666[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=52380&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=52380&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 axis3.741948020536
y axis0.227986182409270
Correlation
correlation used in KDE-0.521507701627666
correlation(x,y)-0.521507701627666



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')