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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_bidensity.wasp
Title produced by softwareBivariate Kernel Density Estimation
Date of computationSun, 09 Nov 2008 06:17:45 -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/2008/Nov/09/t1226236764u6i30b2hlufev1k.htm/, Retrieved Sun, 19 May 2024 09:40:42 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=22744, Retrieved Sun, 19 May 2024 09:40:42 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsVan Dooren Leen
Estimated Impact197

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] [Variuos EDA topic...] [2008-11-09 13:17:45] [d175f84d503eb4f2a43145d5e67795b5] [Current]
-    D    [Bivariate Kernel Density Estimation] [various EDA topic...] [2008-11-12 17:59:56] [9ea94c8297ec7e569f27218c1d8ea30f]
F    D    [Bivariate Kernel Density Estimation] [various EDA topic...] [2008-11-12 18:30:35] [9ea94c8297ec7e569f27218c1d8ea30f]
F RMPD    [Partial Correlation] [various EDA topic...] [2008-11-12 18:35:28] [9ea94c8297ec7e569f27218c1d8ea30f]
F RMPD    [Trivariate Scatterplots] [various EDA topic...] [2008-11-12 18:39:40] [9ea94c8297ec7e569f27218c1d8ea30f]
F RMPD    [Hierarchical Clustering] [various EDA topic...] [2008-11-12 18:44:29] [9ea94c8297ec7e569f27218c1d8ea30f]
F RMPD    [Box-Cox Linearity Plot] [various EDA topic...] [2008-11-12 18:47:38] [9ea94c8297ec7e569f27218c1d8ea30f]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
11326,32
11284,15
11615,77
11656,07
11431,43
11734,32
11782,35
11642,47
11532,96
11615,93
11659,9
11479,39
11348,55
11417,43
11430,21
11628,06
11386,25
11412,87
11502,51
11715,18
11543,55
 
11516,92
11532,88
11188,23
11220,96
11510,74
11230,73
11268,92
11433,71
11421,99
10917,51
11059,02
10609,66
11019,69
11388,44
11015,69
10854,17
10825,17
11022,06
11143,13
10365,45
10850,66
10831,07
10482,85
10325,38
9955,5
9447,11
9258,1
8579,19
8566,6
9387,61
9310,99
8577,91
8979,26
8852,22
9265,43
9033,66
8519,21
8691,25
8378,95
8175,77
9065,12
8990,96
9180,69
9325,01
9319,83
9625,28
9139,27
8695,79
Dataseries Y:
Download CSV
Histogram 
18810
18890
18370
18405
18350
18360
18445
17520
17760
17980

17380
17280
17650
17875
18010
17935
17925
18225
18130
18270
18265
17920
17900
17985
17985
18240
18110
17630
17160
17290
17630
17590
17730
19280
19010
19300
19510
19530
19480
19265
19700
20125
19985
20085
19545
19875
20050
21735
20865
21820
20550
20160
20080
20050
19260
19280
19100
18955
18265
17760
18760
19280
18920
18950
18490
18470
18570
18900
18485

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=22744&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=22744&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=22744&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 axis255.90475402964
y axis390.661716054239
Correlation
correlation used in KDE-0.548493980887453
correlation(x,y)-0.548493980887453

\begin{tabular}{lllllllll}
\hline
Bandwidth \tabularnewline
x axis & 255.90475402964 \tabularnewline
y axis & 390.661716054239 \tabularnewline
Correlation \tabularnewline
correlation used in KDE & -0.548493980887453 \tabularnewline
correlation(x,y) & -0.548493980887453 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=22744&T=1

[TABLE]
[ROW][C]Bandwidth[/C][/ROW]
[ROW][C]x axis[/C][C]255.90475402964[/C][/ROW]
[ROW][C]y axis[/C][C]390.661716054239[/C][/ROW]
[ROW][C]Correlation[/C][/ROW]
[ROW][C]correlation used in KDE[/C][C]-0.548493980887453[/C][/ROW]
[ROW][C]correlation(x,y)[/C][C]-0.548493980887453[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=22744&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=22744&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 axis255.90475402964
y axis390.661716054239
Correlation
correlation used in KDE-0.548493980887453
correlation(x,y)-0.548493980887453


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')