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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, 27 Oct 2009 13:41:20 -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/27/t1256672672yxi0vxwnehgw84f.htm/, Retrieved Tue, 07 May 2024 16:28:52 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=51184, Retrieved Tue, 07 May 2024 16:28:52 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact151

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [Univariate Data Series] [Gemiddelde renden...] [2008-10-13 19:42:56] [86c69698417c3ad89592e76776a2c65b]
-   PD  [Univariate Data Series] [Werkloosheid vana...] [2009-10-11 19:32:57] [5c968c05ca472afa314d272082b56b09]
-   P     [Univariate Data Series] [WS3, part 2] [2009-10-18 13:50:42] [5c968c05ca472afa314d272082b56b09]
- RMPD        [Bivariate Kernel Density Estimation] [WS4, Part2.2 Y[t]...] [2009-10-27 19:41:20] [b8ce264f75295a954feffaf60221d1b0] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
5,894402834
5,897153868
5,894402834
5,880532986
5,877735782
5,877735782
5,940171253
5,934894196
5,929589143
5,940171253
5,937536205
5,950642553
5,97126184
5,976350909
5,97126184
5,981414211
5,97126184
5,981414211
6,03787092
6,042632834
6,040254711
6,035481433
6,01615716
6,035481433
6,054439346
6,059123196
6,063785209
6,049733455
6,047372179
6,056784013
6,089044875
6,107022888
6,11368218
6,135564891
6,120297419
6,133398043
6,133398043
6,137727054
6,135564891
6,12249281
6,120297419
6,12249281
6,156978986
6,156978986
6,154858094
6,142037406
6,12905021
6,142037406
6,148468296
6,146329258
6,137727054
6,131226489
6,135564891
6,133398043
6,165417854
6,165417854
6,154858094
6,115892125
6,09356977
6,091309882
6,095824562
6,08221891
6,056784013
6,049733455
6,03068526
6,00635316
6,06610809
6,073044534
6,035481433
6,021023349
6,001414878
6,013715156
Dataseries Y:
Download CSV
Histogram 
476
475
470
461
455
456
517
525
523
519
509
512
519
517
510
509
501
507
569
580
578
565
547
555
562
561
555
544
537
543
594
611
613
611
594
595
591
589
584
573
567
569
621
629
628
612
595
597
593
590
580
574
573
573
620
626
620
588
566
557
561
549
532
526
511
499
555
565
542
527
510
514

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'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 & 3 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=51184&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=51184&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=51184&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'Gwilym Jenkins' @ 72.249.127.135






Bandwidth
x axis0.0274742179770026
y axis19.4436168426932
Correlation
correlation used in KDE0.927250491449856
correlation(x,y)0.927250491449856

\begin{tabular}{lllllllll}
\hline
Bandwidth \tabularnewline
x axis & 0.0274742179770026 \tabularnewline
y axis & 19.4436168426932 \tabularnewline
Correlation \tabularnewline
correlation used in KDE & 0.927250491449856 \tabularnewline
correlation(x,y) & 0.927250491449856 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=51184&T=1

[TABLE]
[ROW][C]Bandwidth[/C][/ROW]
[ROW][C]x axis[/C][C]0.0274742179770026[/C][/ROW]
[ROW][C]y axis[/C][C]19.4436168426932[/C][/ROW]
[ROW][C]Correlation[/C][/ROW]
[ROW][C]correlation used in KDE[/C][C]0.927250491449856[/C][/ROW]
[ROW][C]correlation(x,y)[/C][C]0.927250491449856[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=51184&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=51184&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 axis0.0274742179770026
y axis19.4436168426932
Correlation
correlation used in KDE0.927250491449856
correlation(x,y)0.927250491449856


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')