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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 computationTue, 11 Nov 2008 04:58:45 -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/Nov/11/t12264047829jlfuq86oymfkg5.htm/, Retrieved Sun, 19 May 2024 06:45:59 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=23350, Retrieved Sun, 19 May 2024 06:45:59 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact124

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F       [Bivariate Kernel Density Estimation] [Q1 Bivariate Density] [2008-11-11 11:58:45] [21d7d81e7693ad6dde5aadefb1046611] [Current]
Feedback Forum
2008-11-23 13:15:15 [339a57d8a4d5d113e4804fc423e4a59e] [reply] 
De student heeft de juiste software gebruikt. Met deze software kan men de Kernel Densityplot voor twee datareeksen produceren. Op deze plot kan men heel goed de waarschijnlijkheid aflezen dat er nog punten in de nabijheid liggen.

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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
604,4
883,9
527,9
756,2
812,9
655,6
707,6
612,6
659,2
833,4
727,8
797,2
753
762
613,7
759,2
816,4
736,8
680,1
736,5
637,2
801,9
772,3
897,3
792,1
826,8
666,8
906,6
871,4
891
739,2
833,6
715,6
871,6
751,6
1005,5
681,2
837,3
674,7
806,3
860,2
689,8
691,6
682,6
800,1
1023,7
733,5
875,3
770,2
1005,7
982,3
742,9
974,2
822,3
773,2
750,9
708
690
652,8
620,7
461,9
Dataseries Y:
Download CSV
Histogram 
882,5
789,6
773,3
804,3
817,8
836,7
721,8
760,8
841,4
1045,6
949,2
850,1
957,4
851,8
913,9
888
973,8
927,6
833
879,5
797,3
834,5
735,1
835
892,8
697,2
821,1
732,7
797,6
866,3
826,3
778,6
779,2
951
692,3
841,4
857,3
760,7
841,2
810,3
1007,4
931,3
931,2
855,8
858,4
925,9
930,7
1037,6
979,2
942,6
843,9
854,3
1029,8
944
856,4
1059,4
959,3
941,5
1026,4
921,3
968

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\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 & 3 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ 193.190.124.10:1001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=23350&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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ 193.190.124.10:1001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=23350&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=23350&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 time3 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001






Bandwidth
x axis50.9311952419131
y axis40.5642564136012
Correlation
correlation used in KDE0.0539851550557109
correlation(x,y)0.0539851550557109

\begin{tabular}{lllllllll}
\hline
Bandwidth \tabularnewline
x axis & 50.9311952419131 \tabularnewline
y axis & 40.5642564136012 \tabularnewline
Correlation \tabularnewline
correlation used in KDE & 0.0539851550557109 \tabularnewline
correlation(x,y) & 0.0539851550557109 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=23350&T=1

[TABLE]
[ROW][C]Bandwidth[/C][/ROW]
[ROW][C]x axis[/C][C]50.9311952419131[/C][/ROW]
[ROW][C]y axis[/C][C]40.5642564136012[/C][/ROW]
[ROW][C]Correlation[/C][/ROW]
[ROW][C]correlation used in KDE[/C][C]0.0539851550557109[/C][/ROW]
[ROW][C]correlation(x,y)[/C][C]0.0539851550557109[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=23350&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=23350&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 axis50.9311952419131
y axis40.5642564136012
Correlation
correlation used in KDE0.0539851550557109
correlation(x,y)0.0539851550557109


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')