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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, 06 Nov 2009 00:42:25 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Nov/06/t1257493394xgb8reppteuokra.htm/, Retrieved Sun, 28 Apr 2024 14:45:06 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=54218, Retrieved Sun, 28 Apr 2024 14:45:06 +0000
QR Codes:

Original text written by user:Bivariate Kernel Density van leningsbedrag en schulden
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact162

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] [shw6: Bivariate K...] [2009-11-06 07:42:25] [7a39e26d7a09dd77604df90cb29f8d39] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
24710.92
23983.59
24434.12
23939.23
24290.02
24117.63
23724.64
22989.44
23716.86
25058.83
25059
23579.18
24209.03
24173.67
24706.39
24522.12
24766.15
25940.04
24985.78
24788
26544.56
28019.08
27285.71
29161.16
28357.73
27979.91
27543.95
27397.53
27623.59
27736.07
27803.79
27779.55
27524.13
27582.72
28638.95
28825.78
30132.61
29326.85
29075.62
28230.63
28118.36
28173.29
27396.91
24578.55
24504.77
27582.37
26920.31
25426.68
25390.8
25041.16
22769.42
22921.89
26267.63
27364.67
28382.59
29132.81
28214.51
28865.73
24405.35
Dataseries Y:
Download CSV
Histogram 
2180995.35
2191117.36
2219483.98
2217992.79
2209675.04
2204327.56
2217758.16
2218743.78
2231760.73
2242745.96
2269344.45
2277708.79
2281332.03
2293500.47
2319792.57
2320736.3
2303874.92
2291488.94
2299751.72
2313222.41
2314078.67
2325555.72
2353668.83
2363959.25
2366135.5
2388164.24
2415043.36
2411619.15
2400100.64
2398536.15
2404054.33
2421077.9
2430396.04
2445739.91
2484702.11
2499887.85
2506371.6
2526847.52
2551947.88
2549403.15
2533567.74
2529577.21
2541049.08
2547421.64
2555613.49
2566290.53
2580919.67
2587978.57
2580098.72
2579086.96
2592127.5
2586944.73
2548600.43
2516994.05
2500125.23
2493360.56
2475571.42
2460157.93
2467502.24

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'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=54218&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]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=54218&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=54218&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'Sir Ronald Aylmer Fisher' @ 193.190.124.24






Bandwidth
x axis559.804167095798
y axis47525.4826115219
Correlation
correlation used in KDE0.456158208198416
correlation(x,y)0.456158208198416

\begin{tabular}{lllllllll}
\hline
Bandwidth \tabularnewline
x axis & 559.804167095798 \tabularnewline
y axis & 47525.4826115219 \tabularnewline
Correlation \tabularnewline
correlation used in KDE & 0.456158208198416 \tabularnewline
correlation(x,y) & 0.456158208198416 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=54218&T=1

[TABLE]
[ROW][C]Bandwidth[/C][/ROW]
[ROW][C]x axis[/C][C]559.804167095798[/C][/ROW]
[ROW][C]y axis[/C][C]47525.4826115219[/C][/ROW]
[ROW][C]Correlation[/C][/ROW]
[ROW][C]correlation used in KDE[/C][C]0.456158208198416[/C][/ROW]
[ROW][C]correlation(x,y)[/C][C]0.456158208198416[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=54218&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=54218&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 axis559.804167095798
y axis47525.4826115219
Correlation
correlation used in KDE0.456158208198416
correlation(x,y)0.456158208198416


Figures (Output of Computation)

Input Parameters & R Code

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