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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 computationFri, 02 Dec 2011 06:59:39 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Dec/02/t1322827213x8koh3gp028fqm8.htm/, Retrieved Mon, 29 Apr 2024 04:54:39 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=150140, Retrieved Mon, 29 Apr 2024 04:54:39 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact98

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [Percentiles] [Percentiles of ti...] [2010-09-25 09:52:29] [b98453cac15ba1066b407e146608df68]
- RMP   [Harrell-Davis Quantiles] [120 seconds] [2011-10-04 07:18:16] [f381152ed5e87cd86e751bfc27f55bf8]
- RMP     [Mean versus Median] [D1 - Mean vs Median] [2011-12-02 11:51:03] [7e261c986c934df955dd3ac53e9d45c6]
- RMPD        [Bivariate Kernel Density Estimation] [D1 - Bivariate Ke...] [2011-12-02 11:59:39] [13dfa60174f50d862e8699db2153bfc5] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
617
614
647
580
614
636
388
356
639
753
611
639
630
586
695
552
619
681
421
307
754
690
644
643
608
651
691
627
634
731
475
337
803
722
590
724
627
696
825
677
656
785
412
352
839
729
696
641
695
638
762
635
721
854
418
367
824
687
601
676
740
691
683
594
729
731
386
331
706
715
657
653
642
643
718
654
632
731
392
344
792
852
649
629
685
617
715
715
629
916
531
357
917
828
708
858
775
785
1006
789
734
906
532
387
991
841
892
782
811
792
978
773
796
946
594
438
1023
868
791
760
779
852
1001
734
996
869
599
426
1138
Dataseries Y:
Download CSV
Histogram 
6.3
6.2
6.3
6.5
6.6
6.4
6.2
6.3
6.6
7.1
7.2
7.3
7.3
7.3
7.4
7.3
7.4
7.4
7.6
7.6
7.7
7.7
7.8
7.8
8.0
8.1
8.1
8.2
8.1
8.1
8.1
8.0
8.2
8.4
8.4
8.5
8.6
8.5
8.3
7.8
7.8
8.0
8.6
8.9
8.9
8.6
8.3
8.3
8.3
8.4
8.5
8.4
8.6
8.5
8.5
8.5
8.5
8.5
8.5
8.5
8.5
8.6
8.6
8.6
8.6
8.4
8.0
7.9
8.0
8.0
8.0
8.0
7.9
7.9
7.9
8.0
7.9
7.5
7.2
7.0
6.9
7.1
7.1
7.2
7.1
6.9
6.8
6.7
6.7
6.9
7.3
7.4
7.3
7.1
7.0
7.1
7.5
7.7
7.8
7.7
7.7
7.8
8.0
8.1
8.1
8.0
8.1
8.2
8.3
8.4
8.5
8.5
8.5
8.5
8.5
8.3
8.2
8.1
7.9
7.6
7.3
7.1
7.0
7.0
7.0
7.0
6.9
6.8
6.7

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time6 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net

\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 & 6 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=150140&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]6 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=150140&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=150140&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 time6 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net






Bandwidth
x axis36.5295126469953
y axis0.191178960394752
Correlation
correlation used in KDE0.0526834715591391
correlation(x,y)0.0526834715591391

\begin{tabular}{lllllllll}
\hline
Bandwidth \tabularnewline
x axis & 36.5295126469953 \tabularnewline
y axis & 0.191178960394752 \tabularnewline
Correlation \tabularnewline
correlation used in KDE & 0.0526834715591391 \tabularnewline
correlation(x,y) & 0.0526834715591391 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=150140&T=1

[TABLE]
[ROW][C]Bandwidth[/C][/ROW]
[ROW][C]x axis[/C][C]36.5295126469953[/C][/ROW]
[ROW][C]y axis[/C][C]0.191178960394752[/C][/ROW]
[ROW][C]Correlation[/C][/ROW]
[ROW][C]correlation used in KDE[/C][C]0.0526834715591391[/C][/ROW]
[ROW][C]correlation(x,y)[/C][C]0.0526834715591391[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=150140&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=150140&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 axis36.5295126469953
y axis0.191178960394752
Correlation
correlation used in KDE0.0526834715591391
correlation(x,y)0.0526834715591391


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 50 ; par2 = 50 ; par3 = 0 ; par4 = 0 ; par5 = 0 ; par6 = Y ; par7 = Y ; par8 = terrain.colors ;
Parameters (R input):
par1 = 50 ; par2 = 50 ; par3 = 0 ; par4 = 0 ; par5 = 0 ; par6 = Y ; par7 = Y ; par8 = terrain.colors ;
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
if (par8 == 'terrain.colors') mycol <- terrain.colors(100)
if (par8 == 'rainbow') mycol <- rainbow(100)
if (par8 == 'heat.colors') mycol <- heat.colors(100)
if (par8 == 'topo.colors') mycol <- topo.colors(100)
if (par8 == 'cm.colors') mycol <- cm.colors(100)
bitmap(file='bidensity.png')
op <- KernSur(x,y, xgridsize=par1, ygridsize=par2, correlation=par5, xbandwidth=par3, ybandwidth=par4)
image(op$xords, op$yords, op$zden, col=mycol, axes=TRUE,main=main,xlab=xlab,ylab=ylab)
if (par6=='Y') contour(op$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')