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Author

*The author of this computation has been verified*

R Software Module

rwasp_partialcorrelationmatrix.wasp

Title produced by software

Partial Correlation Matrix

Date of computation

Thu, 17 Dec 2015 14:21:06 +0000

Cite this page as follows

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2015/Dec/17/t1450362072rm4ltmr6s2h57ck.htm/, Retrieved Thu, 16 May 2024 17:10:51 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=286809, Retrieved Thu, 16 May 2024 17:10:51 +0000

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Estimated Impact

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)

-       [Partial Correlation Matrix] [] [2015-12-17 14:21:06] [7b81fac622814275349f5d25cf6bd6bd] [Current]

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Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	1 seconds
R Server	'Sir Ronald Aylmer Fisher' @ fisher.wessa.net

\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 & 1 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=286809&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]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=286809&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=286809&T=0

As an alternative you can also use a 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 Output	view raw output of R engine
Computing time	1 seconds
R Server	'Sir Ronald Aylmer Fisher' @ fisher.wessa.net

Pearson Correlation Matrix
> r0 Vlaams Waals Brussels Vlaams 1.0000000 0.6237388 0.5420320 Waals 0.6237388 1.0000000 0.5629046 Brussels 0.5420320 0.5629046 1.0000000

\begin{tabular}{lllllllll}
\hline
Pearson Correlation Matrix \tabularnewline
> r0
            Vlaams     Waals  Brussels
Vlaams   1.0000000 0.6237388 0.5420320
Waals    0.6237388 1.0000000 0.5629046
Brussels 0.5420320 0.5629046 1.0000000
 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=286809&T=1

[TABLE]
[ROW][C]Pearson Correlation Matrix[/C][/ROW]
[ROW][C]> r0
            Vlaams     Waals  Brussels
Vlaams   1.0000000 0.6237388 0.5420320
Waals    0.6237388 1.0000000 0.5629046
Brussels 0.5420320 0.5629046 1.0000000
[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=286809&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=286809&T=1

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

Pearson Correlation Matrix
> r0 Vlaams Waals Brussels Vlaams 1.0000000 0.6237388 0.5420320 Waals 0.6237388 1.0000000 0.5629046 Brussels 0.5420320 0.5629046 1.0000000

Partial Pearson Correlation Matrix (Shrinkage Method)

> r1
            Vlaams     Waals  Brussels
Vlaams   1.0000000 0.3903037 0.2753296
Waals    0.3903037 1.0000000 0.3071425
Brussels 0.2753296 0.3071425 1.0000000
attr(,"lambda")
[1] 0.167841
attr(,"lambda.estimated")
[1] TRUE
attr(,"class")
[1] "shrinkage"
attr(,"spv")
   Vlaams     Waals  Brussels 
0.6752041 0.6616662 0.7214042

\begin{tabular}{lllllllll}
\hline
Partial Pearson Correlation Matrix (Shrinkage Method) \tabularnewline
> r1
            Vlaams     Waals  Brussels
Vlaams   1.0000000 0.3903037 0.2753296
Waals    0.3903037 1.0000000 0.3071425
Brussels 0.2753296 0.3071425 1.0000000
attr(,"lambda")
[1] 0.167841
attr(,"lambda.estimated")
[1] TRUE
attr(,"class")
[1] "shrinkage"
attr(,"spv")
   Vlaams     Waals  Brussels 
0.6752041 0.6616662 0.7214042 
 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=286809&T=2

[TABLE]
[ROW][C]Partial Pearson Correlation Matrix (Shrinkage Method)[/C][/ROW]
[ROW][C]> r1
            Vlaams     Waals  Brussels
Vlaams   1.0000000 0.3903037 0.2753296
Waals    0.3903037 1.0000000 0.3071425
Brussels 0.2753296 0.3071425 1.0000000
attr(,"lambda")
[1] 0.167841
attr(,"lambda.estimated")
[1] TRUE
attr(,"class")
[1] "shrinkage"
attr(,"spv")
   Vlaams     Waals  Brussels 
0.6752041 0.6616662 0.7214042 
[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=286809&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=286809&T=2

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

Partial Pearson Correlation Matrix (Shrinkage Method)

> r1
            Vlaams     Waals  Brussels
Vlaams   1.0000000 0.3903037 0.2753296
Waals    0.3903037 1.0000000 0.3071425
Brussels 0.2753296 0.3071425 1.0000000
attr(,"lambda")
[1] 0.167841
attr(,"lambda.estimated")
[1] TRUE
attr(,"class")
[1] "shrinkage"
attr(,"spv")
   Vlaams     Waals  Brussels 
0.6752041 0.6616662 0.7214042

Parameters (Session):

Parameters (R input):

R code (references can be found in the software module):

library(corpcor)
x <- t(y)
(r1 <- pcor.shrink(x))
(r0 <- cor(x))
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Pearson Correlation Matrix',1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,paste('',RC.texteval('r0'),'
',sep=''))
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable0.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Partial Pearson Correlation Matrix (Shrinkage Method)',1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,paste('',RC.texteval('r1'),'
',sep=''))
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable1.tab')

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Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code