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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 computationWed, 12 Nov 2008 10:23:23 -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/12/t1226510652d4xvr22wak4t599.htm/, Retrieved Sun, 19 May 2024 09:38:44 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=24308, Retrieved Sun, 19 May 2024 09:38:44 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact142

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] [Bel20 en Downjones] [2008-11-12 17:23:23] [d41d8cd98f00b204e9800998ecf8427e] [Current]
F RMPD    [Trivariate Scatterplots] [kelly] [2008-11-12 17:33:13] [74be16979710d4c4e7c6647856088456]
F RMPD    [Partial Correlation] [kelly] [2008-11-12 17:36:31] [74be16979710d4c4e7c6647856088456]
F RMPD    [Box-Cox Normality Plot] [kelly] [2008-11-12 17:53:57] [74be16979710d4c4e7c6647856088456]
F    D      [Box-Cox Normality Plot] [Box cox normality...] [2008-11-13 22:31:24] [74be16979710d4c4e7c6647856088456]
F RMPD    [Maximum-likelihood Fitting - Normal Distribution] [kelly] [2008-11-12 17:58:06] [74be16979710d4c4e7c6647856088456]
F    D      [Maximum-likelihood Fitting - Normal Distribution] [normality] [2008-11-13 22:37:20] [74be16979710d4c4e7c6647856088456]
F RMPD      [Box-Cox Linearity Plot] [box cox linearity...] [2008-11-13 22:41:16] [629740e107727857ef4896c7a406110f]
F RMPD      [Testing Mean with known Variance - Critical Value] [quality pork test Q1] [2008-11-13 22:49:57] [629740e107727857ef4896c7a406110f]
F RMPD      [Testing Mean with known Variance - Critical Value] [Pork quality test Q3] [2008-11-13 22:54:17] [629740e107727857ef4896c7a406110f]
F RMPD      [Testing Mean with known Variance - Critical Value] [Pork quality test Q5] [2008-11-13 22:57:20] [629740e107727857ef4896c7a406110f]
F RMPD      [Testing Mean with known Variance - Critical Value] [Pork quality test Q4] [2008-11-13 22:58:54] [629740e107727857ef4896c7a406110f]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
2174,56
2196,72
2350,44
2440,25
2408,64
2472,81
2407,6
2454,62
2448,05
2497,84
2645,64
2756,76
2849,27
2921,44
2981,85
3080,58
3106,22
3119,31
3061,26
3097,31
3161,69
3257,16
3277,01
3295,32
3363,99
3494,17
3667,03
3813,06
3917,96
3895,51
3801,06
3570,12
3701,61
3862,27
3970,1
4138,52
4199,75
4290,89
4443,91
4502,64
4356,98
4591,27
4696,96
4621,4
4562,84
4202,52
4296,49
4435,23
4105,18
4116,68
3844,49
3720,98
3674,4
3857,62
3801,06
3504,37
3032,6
3047,03
2962,34
2197,82
Dataseries Y:
Download CSV
Histogram 
9762,12
10124,63
10540,05
10601,61
10323,73
10418,4
10092,96
10364,91
10152,09
10032,8
10204,59
10001,6
10411,75
10673,38
10539,51
10723,78
10682,06
10283,19
10377,18
10486,64
10545,38
10554,27
10532,54
10324,31
10695,25
10827,81
10872,48
10971,19
11145,65
11234,68
11333,88
10997,97
11036,89
11257,35
11533,59
11963,12
12185,15
12377,62
12512,89
12631,48
12268,53
12754,8
13407,75
13480,21
13673,28
13239,71
13557,69
13901,28
13200,58
13406,97
12538,12
12419,57
12193,88
12656,63
12812,48
12056,67
11322,38
11530,75
11114,08
9181,73

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=24308&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=24308&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=24308&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 axis358.912248380635
y axis356.764888610131
Correlation
correlation used in KDE0.87093574446003
correlation(x,y)0.87093574446003

\begin{tabular}{lllllllll}
\hline
Bandwidth \tabularnewline
x axis & 358.912248380635 \tabularnewline
y axis & 356.764888610131 \tabularnewline
Correlation \tabularnewline
correlation used in KDE & 0.87093574446003 \tabularnewline
correlation(x,y) & 0.87093574446003 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=24308&T=1

[TABLE]
[ROW][C]Bandwidth[/C][/ROW]
[ROW][C]x axis[/C][C]358.912248380635[/C][/ROW]
[ROW][C]y axis[/C][C]356.764888610131[/C][/ROW]
[ROW][C]Correlation[/C][/ROW]
[ROW][C]correlation used in KDE[/C][C]0.87093574446003[/C][/ROW]
[ROW][C]correlation(x,y)[/C][C]0.87093574446003[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=24308&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=24308&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 axis358.912248380635
y axis356.764888610131
Correlation
correlation used in KDE0.87093574446003
correlation(x,y)0.87093574446003


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')