FreeStatistics.org

Free Statistics

of Irreproducible Research!

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 computationSat, 12 Dec 2009 06:38:38 -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/Dec/12/t1260625234bzt5r5efs93kgri.htm/, Retrieved Fri, 01 Nov 2024 00:15:12 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=66953, Retrieved Fri, 01 Nov 2024 00:15:12 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact186

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Bivariate Kernel Density Estimation] [Paper] [2009-12-12 13:34:31] [d31db4f83c6a129f6d3e47077769e868]
-    D    [Bivariate Kernel Density Estimation] [Paper.1] [2009-12-12 13:38:38] [852eae237d08746109043531619a60c9] [Current]
- RMPD      [Standard Deviation-Mean Plot] [Paper. Mean Plot ...] [2009-12-12 14:46:45] [d31db4f83c6a129f6d3e47077769e868]
-    D        [Standard Deviation-Mean Plot] [Paper] [2009-12-12 14:54:21] [d31db4f83c6a129f6d3e47077769e868]
-    D          [Standard Deviation-Mean Plot] [Paper. Ingeschrev...] [2009-12-12 15:28:35] [d31db4f83c6a129f6d3e47077769e868]
-    D            [Standard Deviation-Mean Plot] [Paper. achtergest...] [2009-12-12 15:31:03] [d31db4f83c6a129f6d3e47077769e868]
- RM D              [(Partial) Autocorrelation Function] [Paper, Partiële ...] [2009-12-12 15:59:27] [d31db4f83c6a129f6d3e47077769e868]
- RM D              [Spectral Analysis] [Paper. Spectral A...] [2009-12-12 16:10:11] [d31db4f83c6a129f6d3e47077769e868]
-   P                 [Spectral Analysis] [Paper. Spectral A...] [2009-12-18 15:52:57] [d31db4f83c6a129f6d3e47077769e868]
-   P                   [Spectral Analysis] [Paper. Spectral A...] [2009-12-18 17:24:57] [d31db4f83c6a129f6d3e47077769e868]
-   P                     [Spectral Analysis] [Paper] [2010-01-07 15:25:28] [309ee52d0058ff0a6f7eec15e07b2d9f]
- RM D              [Mean Plot] [Paper. Mean plot] [2009-12-12 16:13:07] [d31db4f83c6a129f6d3e47077769e868]
-    D                [Mean Plot] [Paper. Mean plot ...] [2009-12-12 16:15:50] [d31db4f83c6a129f6d3e47077769e868]
-    D                [Mean Plot] [Paper. Inschrijvi...] [2009-12-12 16:18:27] [d31db4f83c6a129f6d3e47077769e868]
-    D                  [Mean Plot] [Paper. Mean plot ...] [2009-12-12 16:20:40] [d31db4f83c6a129f6d3e47077769e868]
- RM D                  [ARIMA Backward Selection] [Paper. Arima back...] [2009-12-12 17:23:23] [d31db4f83c6a129f6d3e47077769e868]
-   PD      [Bivariate Kernel Density Estimation] [Paper. Kernel Den...] [2009-12-12 15:35:40] [d31db4f83c6a129f6d3e47077769e868]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
593530
610763
612613
611324
594167
595454
590865
589379
584428
573100
567456
569028
620735
628884
628232
612117
595404
597141
593408
590072
579799
574205
572775
572942
619567
625809
619916
587625
565742
557274
560576
548854
531673
525919
511038
498662
555362
564591
541657
527070
509846
514258
516922
507561
492622
490243
469357
477580
528379
533590
517945
506174
501866
516141
528222
532638
536322
536535
523597
536214
586570
Dataseries Y:
Download CSV
Histogram 
18004
17537
20366
22782
19169
13807
29743
25591
29096
26482
22405
27044
17970
18730
19684
19785
18479
10698
31956
29506
34506
27165
26736
23691
18157
17328
18205
20995
17382
9367
31124
26551
30651
25859
25100
25778
20418
18688
20424
24776
19814
12738
31566
30111
30019
31934
25826
26835
20205
17789
20520
22518
15572
11509
25447
24090
27786
26195
20516
22759
19028

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time0 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 & 0 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=66953&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]0 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=66953&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=66953&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 time0 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Bandwidth
x axis17351.0028277797
y axis2097.09095167392
Correlation
correlation used in KDE-0.258611065113037
correlation(x,y)-0.258611065113037

\begin{tabular}{lllllllll}
\hline
Bandwidth \tabularnewline
x axis & 17351.0028277797 \tabularnewline
y axis & 2097.09095167392 \tabularnewline
Correlation \tabularnewline
correlation used in KDE & -0.258611065113037 \tabularnewline
correlation(x,y) & -0.258611065113037 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=66953&T=1

[TABLE]
[ROW][C]Bandwidth[/C][/ROW]
[ROW][C]x axis[/C][C]17351.0028277797[/C][/ROW]
[ROW][C]y axis[/C][C]2097.09095167392[/C][/ROW]
[ROW][C]Correlation[/C][/ROW]
[ROW][C]correlation used in KDE[/C][C]-0.258611065113037[/C][/ROW]
[ROW][C]correlation(x,y)[/C][C]-0.258611065113037[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=66953&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=66953&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 axis17351.0028277797
y axis2097.09095167392
Correlation
correlation used in KDE-0.258611065113037
correlation(x,y)-0.258611065113037


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')