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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, 20 Dec 2010 15:30:25 +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/2010/Dec/20/t1292858910ew7gllsznwe6ahf.htm/, Retrieved Fri, 03 May 2024 23:36:59 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=112999, Retrieved Fri, 03 May 2024 23:36:59 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact138

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [data set] [2008-12-01 19:54:57] [b98453cac15ba1066b407e146608df68]
- RMP   [Standard Deviation-Mean Plot] [Unemployment] [2010-11-29 10:34:47] [b98453cac15ba1066b407e146608df68]
- RMP     [ARIMA Forecasting] [Unemployment] [2010-11-29 20:46:45] [b98453cac15ba1066b407e146608df68]
-   PD      [ARIMA Forecasting] [test 7] [2010-12-05 11:13:06] [74be16979710d4c4e7c6647856088456]
-   P         [ARIMA Forecasting] [W9 - Blog 9] [2010-12-06 16:23:47] [1aa8d85d6b335d32b1f6be940e33a166]
-   PD          [ARIMA Forecasting] [ARIMA forecast Li...] [2010-12-20 15:06:20] [1aa8d85d6b335d32b1f6be940e33a166]
- RMPD              [Bivariate Kernel Density Estimation] [Bivariate Kernell...] [2010-12-20 15:30:25] [47bfda5353cd53c1cf7ea7aa9038654a] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
16,46
16,49
16,59
16,58
16,60
16,55
16,57
16,51
16,50
16,49
16,44
16,26
16,33
16,72
16,75
16,74
16,84
16,79
16,66
16,69
16,84
16,86
16,76
16,72
16,29
16,29
16,46
16,54
16,70
16,82
16,88
16,89
16,92
16,88
16,91
16,80
16,78
17,03
17,18
17,12
17,11
17,14
17,17
17,21
17,22
17,19
17,15
17,10
17,21
17,33
17,30
17,33
17,35
17,43
17,46
17,50
17,54
17,56
17,44
17,41
17,72
17,79
17,83
17,76
17,95
17,91
17,96
17,98
17,89
17,88
17,91
17,51
17,63
Dataseries Y:
Download CSV
Histogram 
25.00
25.09
25.03
25.21
25.33
25.23
25.13
25.03
25.03
25.15
25.18
24.90
25.18
25.25
25.28
25.32
25.27
25.22
25.14
25.41
25.72
25.66
25.65
25.27
23.90
24.06
24.33
24.39
24.39
24.49
24.83
25.08
25.11
25.13
25.17
25.11
25.35
25.36
25.35
25.34
25.39
25.58
25.71
25.66
25.74
25.73
25.72
25.55
25.71
25.92
25.93
26.00
26.02
26.08
26.17
26.18
26.21
26.28
26.34
26.17
26.38
26.36
26.27
26.26
26.49
26.99
27.14
27.10
27.01
26.93
26.97
26.35
26.93

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'George Udny Yule' @ 72.249.76.132

\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 & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=112999&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=112999&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=112999&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'George Udny Yule' @ 72.249.76.132






Bandwidth
x axis0.197317334109174
y axis0.213776206907421
Correlation
correlation used in KDE0.910721139038596
correlation(x,y)0.910721139038596

\begin{tabular}{lllllllll}
\hline
Bandwidth \tabularnewline
x axis & 0.197317334109174 \tabularnewline
y axis & 0.213776206907421 \tabularnewline
Correlation \tabularnewline
correlation used in KDE & 0.910721139038596 \tabularnewline
correlation(x,y) & 0.910721139038596 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=112999&T=1

[TABLE]
[ROW][C]Bandwidth[/C][/ROW]
[ROW][C]x axis[/C][C]0.197317334109174[/C][/ROW]
[ROW][C]y axis[/C][C]0.213776206907421[/C][/ROW]
[ROW][C]Correlation[/C][/ROW]
[ROW][C]correlation used in KDE[/C][C]0.910721139038596[/C][/ROW]
[ROW][C]correlation(x,y)[/C][C]0.910721139038596[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=112999&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=112999&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 axis0.197317334109174
y axis0.213776206907421
Correlation
correlation used in KDE0.910721139038596
correlation(x,y)0.910721139038596


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')