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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, 16 Dec 2014 14:55:17 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2014/Dec/16/t14187417308qda4thd95y7gsj.htm/, Retrieved Thu, 16 May 2024 14:02:02 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=269672, Retrieved Thu, 16 May 2024 14:02:02 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact92

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Two-Way ANOVA] [] [2010-11-02 14:42:14] [b98453cac15ba1066b407e146608df68]
- RMP   [Two-Way ANOVA] [] [2014-10-21 08:34:19] [32b17a345b130fdf5cc88718ed94a974]
- RMPD      [Bivariate Kernel Density Estimation] [] [2014-12-16 14:55:17] [ca907db95fc0b179b22bb0898c34dff4] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
30
27
18
28
27
28
21
22
20
23
18
18
25
25
25
24
13
17
4
16
21
20
22
0
18
29
15
22
22
17
27
15
26
18
27
17
19
13
16
2
26
22
23
18
18
19
22
14
23
20
13
16
7
17
19
23
19
16
20
25
17
12
24
14
18
19
16
19
4
20
24
17
22
19
22
23
17
24
20
25
20
21
22
25
28
29
20
20
19
19
26
10
17
30
22
23
16
18
25
18
24
23
24
15
20
26
23
23
22
15
22
10
20
23
27
23
25
20
24
23
22
21
25
27
23
23
19
15
20
16
25
25
19
16
19
19
23
21
19
20
3
23
15
24
24
24
28
23
25
25
20
25
23
20
16
23
11
23
29
16
23
20
4
24
16
3
23
20
19
24
27
Dataseries Y:
Download CSV
Histogram 
16.6
14.85
11.75
18.45
19.9
18.45
15
11.35
18.1
13.4
13.9
15.25
16.1
17.35
13.15
12.15
18.2
13.6
14.1
14.9
16.25
15.65
14.6
19.2
13.2
15.65
7.65
15.2
11.85
11.4
19.9
15.15
16.85
12.6
12.35
16.65
13.95
15.7
15.35
15.1
17.75
16.65
19.1
13.35
18.4
16.15
18.4
15.6
16.35
17.65
11.7
14.35
14.75
9.9
16.85
15.6
17.1
19.1
7.6
14.75
13.6
11.9
16.35
14.35
17.75
19.3
17.1
19.05
18.55
19.1
13.35
17.6
16.1
11.95
7.7
14.6
12.6
18.9
11.6
14.6
13.85
15.9
10.95
15.1
15.95
14.6
17.6
15.35
12.9
12.6
10.35
15.4
9.6
14.85
13.6
12.65
11.9
16.6
11.2
15.85
11.15
15.6
13.1
12.4
14.9
11.2
14.6
14.75
7.85
7.85
10.95
9.95
14.9
13.4
16.85
10.95
12.2
15.2
8.1
4.35
12.7
18.1
17.85
17.1
16.1
14.7
10.6
12.6
16.2
13.6
14.1
14.5
14.75
14.8
12.45
12.65
17.35
8.6
16.1
17.75
15.25
17.65
13.6
18.25
16
18.25
18.95
16.1
15.4
15.4
13.35
19.1
19.25
12.75
9.85
15.25
12.4
18.15
12.35
15.6
18.4
12.85
9.5
4.5
13.6
11.7
17.75
14.05
13.35
11.85
13.2

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 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 & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=269672&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]1 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=269672&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=269672&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 time1 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net






Bandwidth
x axis1.60312902964584
y axis1.06159951126883
Correlation
correlation used in KDE0.112013750398079
correlation(x,y)0.112013750398079

\begin{tabular}{lllllllll}
\hline
Bandwidth \tabularnewline
x axis & 1.60312902964584 \tabularnewline
y axis & 1.06159951126883 \tabularnewline
Correlation \tabularnewline
correlation used in KDE & 0.112013750398079 \tabularnewline
correlation(x,y) & 0.112013750398079 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=269672&T=1

[TABLE]
[ROW][C]Bandwidth[/C][/ROW]
[ROW][C]x axis[/C][C]1.60312902964584[/C][/ROW]
[ROW][C]y axis[/C][C]1.06159951126883[/C][/ROW]
[ROW][C]Correlation[/C][/ROW]
[ROW][C]correlation used in KDE[/C][C]0.112013750398079[/C][/ROW]
[ROW][C]correlation(x,y)[/C][C]0.112013750398079[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=269672&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=269672&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 axis1.60312902964584
y axis1.06159951126883
Correlation
correlation used in KDE0.112013750398079
correlation(x,y)0.112013750398079


Figures (Output of Computation)

Input Parameters & R Code

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):
par8 <- 'terrain.colors'
par7 <- 'Y'
par6 <- 'Y'
par5 <- '0'
par4 <- '0'
par3 <- '0'
par2 <- '50'
par1 <- '50'
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')