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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 computationMon, 12 Dec 2016 12:33:59 +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/2016/Dec/12/t148154252389fu4dq5bwzeoq4.htm/, Retrieved Fri, 03 May 2024 17:26:43 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=298867, Retrieved Fri, 03 May 2024 17:26:43 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact106

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] [] [2016-12-12 11:33:59] [1e2c9196efc58119c3757b6c78ac7c5f] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
17
NA
12
13
16
15
14
15
13
12
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NA
NA
17
NA
NA
12
12
12
NA
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17
16
11
15
15
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13
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17
13
12
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12
15
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15
NA
NA
16
12
10
15
NA
14
14
13
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NA
16
13
17
12
18
15
12
13
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13
NA
17
15
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18
16
14
12
14
9
14
17
15
15
20
12
14
16
18
10
13
16
17
16
17
NA
18
15
14
15
NA
16
12
19
17
14
13
14
14
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NA
15
16
17
13
15
10
18
16
16
14
NA
13
NA
13
14
17
13
14
18
12
14
8
16
13
16
11
15
NA
14
13
17
13
18
16
NA
16
15
14
15
16
12
19
15
13
Dataseries Y:
Download CSV
Histogram 
14
19
17
17
15
20
15
19
15
15
19
NA
20
18
15
14
20
NA
16
16
16
10
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19
16
15
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17
19
17
NA
19
20
5
19
16
15
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18
16
15
17
NA
20
19
7
13
16
16
NA
18
18
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13
16
13
12
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17
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14
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16
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19
13
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20
15
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18
15
20
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12
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20
NA
17
15
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18
14
15
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17
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18
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17
20
16
14
15
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20
17
17
17
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20
15
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14

Tables (Output of Computation)





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=298867&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=298867&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=298867&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 Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R ServerBig Analytics Cloud Computing Center






Bandwidth
x axis0.877545496115779
y axis0.725249431581352
Correlation
correlation used in KDE0.0724206354275237
correlation(x,y)0.0724206354275237

\begin{tabular}{lllllllll}
\hline
Bandwidth \tabularnewline
x axis & 0.877545496115779 \tabularnewline
y axis & 0.725249431581352 \tabularnewline
Correlation \tabularnewline
correlation used in KDE & 0.0724206354275237 \tabularnewline
correlation(x,y) & 0.0724206354275237 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=298867&T=1

[TABLE]
[ROW][C]Bandwidth[/C][/ROW]
[ROW][C]x axis[/C][C]0.877545496115779[/C][/ROW]
[ROW][C]y axis[/C][C]0.725249431581352[/C][/ROW]
[ROW][C]Correlation[/C][/ROW]
[ROW][C]correlation used in KDE[/C][C]0.0724206354275237[/C][/ROW]
[ROW][C]correlation(x,y)[/C][C]0.0724206354275237[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=298867&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=298867&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 axis0.877545496115779
y axis0.725249431581352
Correlation
correlation used in KDE0.0724206354275237
correlation(x,y)0.0724206354275237


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')