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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 computationWed, 16 Oct 2013 19:46:19 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2013/Oct/16/t1381967215kiybm7ajheywhdi.htm/, Retrieved Sat, 27 Apr 2024 21:55:29 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=216291, Retrieved Sat, 27 Apr 2024 21:55:29 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact97

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] [Connected vs Sepa...] [2010-10-04 07:42:21] [b98453cac15ba1066b407e146608df68]
- R PD    [Bivariate Kernel Density Estimation] [W2_opgave9] [2013-10-16 23:46:19] [6ca235be63c25d1ede0161784935ca53] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
34
33
29
34
32
35
41
27
40
40
36
40
43
40
33
37
32
26
36
39
38
34
35
41
42
36
39
33
33
36
37
36
34
32
35
39
30
25
29
39
31
26
28
40
32
35
32
41
34
36
38
34
32
34
32
40
43
35
45
36
39
31
36
36
37
40
35
36
32
36
37
42
37
36
36
33
37
35
37
28
33
45
38
43
37
36
40
39
43
32
37
34
44
35
34
37
40
36
44
35
34
40
34
39
36
40
37
35
45
39
Dataseries Y:
Download CSV
Histogram 
30
28
31
35
35
37
39
31
38
37
37
35
37
42
28
37
36
37
33
40
30
36
33
40
37
37
39
35
36
34
36
32
33
27
37
32
31
31
32
37
25
30
37
37
40
35
35
43
32
42
35
27
30
31
36
36
41
34
36
33
35
28
33
38
37
39
34
32
36
36
35
33
42
36
33
36
32
35
38
33
32
38
39
39
39
30
38
38
42
41
31
39
40
31
34
23
28
36
41
29
31
33
35
35
34
40
34
36
35
39

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Herman Ole Andreas Wold' @ wold.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 & 2 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=216291&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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=216291&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=216291&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 time2 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net






Bandwidth
x axis1.45962292990205
y axis1.59571955714285
Correlation
correlation used in KDE0.449394291508469
correlation(x,y)0.449394291508469

\begin{tabular}{lllllllll}
\hline
Bandwidth \tabularnewline
x axis & 1.45962292990205 \tabularnewline
y axis & 1.59571955714285 \tabularnewline
Correlation \tabularnewline
correlation used in KDE & 0.449394291508469 \tabularnewline
correlation(x,y) & 0.449394291508469 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=216291&T=1

[TABLE]
[ROW][C]Bandwidth[/C][/ROW]
[ROW][C]x axis[/C][C]1.45962292990205[/C][/ROW]
[ROW][C]y axis[/C][C]1.59571955714285[/C][/ROW]
[ROW][C]Correlation[/C][/ROW]
[ROW][C]correlation used in KDE[/C][C]0.449394291508469[/C][/ROW]
[ROW][C]correlation(x,y)[/C][C]0.449394291508469[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=216291&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=216291&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 axis1.45962292990205
y axis1.59571955714285
Correlation
correlation used in KDE0.449394291508469
correlation(x,y)0.449394291508469


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')
x <- x[!is.na(y)]
y <- y[!is.na(y)]
y <- y[!is.na(x)]
x <- x[!is.na(x)]
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')