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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 computationMon, 17 Dec 2018 17:48:35 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2018/Dec/17/t1545065339b1ih3qcw6h0rgg0.htm/, Retrieved Thu, 02 May 2024 01:22:02 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=315918, Retrieved Thu, 02 May 2024 01:22:02 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact112
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Bivariate Kernel Density Estimation] [KD plot PU en IQ] [2018-12-17 16:48:35] [1fa0b6d83deab05e8f8a52e2846ed0da] [Current]
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Dataseries X:
10
9
12
14
6
13
12
13
6
12
10
9
12
7
10
11
15
10
12
10
12
11
11
12
15
12
11
9
11
11
9
15
12
9
12
12
9
9
11
12
12
12
12
6
11
12
9
11
9
10
10
9
12
11
9
9
12
6
10
12
11
14
8
9
10
10
10
11
10
12
14
10
8
8
7
11
6
9
12
12
12
9
15
15
13
9
12
9
15
11
11
6
14
11
8
10
10
9
8
9
10
11
14
12
9
13
8
12
14
9
10
12
12
9
9
12
15
12
11
8
11
11
10
12
9
11
15
14
6
9
9
8
7
10
6
9
9
7
11
9
12
9
10
11
7
12
8
13
11
11
12
11
12
3
10
13
10
6
11
12
9
10
15
9
6
9
15
15
9
11
9
11
10
9
6
12
13
12
12
Dataseries Y:
21
22
17
21
19
23
21
22
11
20
18
16
18
13
17
20
20
15
18
15
19
19
19
20
20
16
18
17
18
13
20
21
17
19
20
15
15
19
18
22
20
18
14
15
17
16
17
15
17
18
16
18
22
16
16
20
18
16
16
20
21
18
15
18
18
20
18
16
19
20
22
18
8
13
13
18
12
16
21
20
18
22
23
23
21
16
14
18
22
20
18
12
17
15
18
18
15
16
15
16
19
19
23
20
18
21
19
18
19
17
21
19
24
12
15
18
19
22
19
16
19
18
18
19
21
19
22
23
17
18
19
15
14
18
17
19
16
14
20
16
18
16
21
16
14
16
19
19
19
18
16
14
19
11
18
18
16
20
18
20
16
18
19
19
15
17
21
24
16
13
21
16
17
17
18
18
23
20
20




Summary of computational transaction
Raw Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R ServerBig Analytics Cloud Computing Center

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input view raw input (R code)  \tabularnewline
Raw Outputview raw output of R engine  \tabularnewline
Computing time1 seconds \tabularnewline
R ServerBig Analytics Cloud Computing Center \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=315918&T=0

[TABLE]
[ROW]
Summary of computational transaction[/C][/ROW] [ROW]Raw Input[/C] view raw input (R code) [/C][/ROW] [ROW]Raw Output[/C]view raw output of R engine [/C][/ROW] [ROW]Computing time[/C]1 seconds[/C][/ROW] [ROW]R Server[/C]Big Analytics Cloud Computing Center[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=315918&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=315918&T=0

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R ServerBig Analytics Cloud Computing Center







Bandwidth
x axis0.53659072459295
y axis0.970480388526572
Correlation
correlation used in KDE0.577320131412557
correlation(x,y)0.577320131412557

\begin{tabular}{lllllllll}
\hline
Bandwidth \tabularnewline
x axis & 0.53659072459295 \tabularnewline
y axis & 0.970480388526572 \tabularnewline
Correlation \tabularnewline
correlation used in KDE & 0.577320131412557 \tabularnewline
correlation(x,y) & 0.577320131412557 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=315918&T=1

[TABLE]
[ROW][C]Bandwidth[/C][/ROW]
[ROW][C]x axis[/C][C]0.53659072459295[/C][/ROW]
[ROW][C]y axis[/C][C]0.970480388526572[/C][/ROW]
[ROW][C]Correlation[/C][/ROW]
[ROW][C]correlation used in KDE[/C][C]0.577320131412557[/C][/ROW]
[ROW][C]correlation(x,y)[/C][C]0.577320131412557[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=315918&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=315918&T=1

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Bandwidth
x axis0.53659072459295
y axis0.970480388526572
Correlation
correlation used in KDE0.577320131412557
correlation(x,y)0.577320131412557



Parameters (Session):
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')