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Author's title

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

Mon, 11 Jan 2016 10:42:11 +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/2016/Jan/11/t1452508953rj1ka9khkvoj6iu.htm/, Retrieved Tue, 07 May 2024 15:03:33 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=289579, Retrieved Tue, 07 May 2024 15:03:33 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

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

-       [Partial Correlation Matrix] [] [2016-01-11 10:42:11] [4a98f5a1bdf624f30d6d3e19d8d27ba1] [Current]

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Dataseries X:

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Histogram

Boxplots

6 10.24 3.2
7 10.89 3.3
2 9 3.0
11 12.25 3.5
13 13.69 3.7
3 7.29 2.7
17 12.96 3.6
10 12.25 3.5
4 14.44 3.8
12 11.56 3.4
7 13.69 3.7
11 12.25 3.5
3 7.84 2.8
5 14.44 3.8
1 18.49 4.3
12 10.89 3.3
18 12.96 3.6
8 12.96 3.6
6 10.89 3.3
1 7.84 2.8

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	0 seconds
R Server	'George Udny Yule' @ yule.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 & 0 seconds \tabularnewline
R Server & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=289579&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]0 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=289579&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=289579&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	0 seconds
R Server	'George Udny Yule' @ yule.wessa.net

Pearson Correlation Matrix
> r0 Numeracy Gebgew2 Gebgewicht Numeracy 1.0000000 0.2208704 0.2731058 Gebgew2 0.2208704 1.0000000 0.9969034 Gebgewicht 0.2731058 0.9969034 1.0000000

\begin{tabular}{lllllllll}
\hline
Pearson Correlation Matrix \tabularnewline
> r0
            Numeracy   Gebgew2 Gebgewicht
Numeracy   1.0000000 0.2208704  0.2731058
Gebgew2    0.2208704 1.0000000  0.9969034
Gebgewicht 0.2731058 0.9969034  1.0000000
 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=289579&T=1

[TABLE]
[ROW][C]Pearson Correlation Matrix[/C][/ROW]
[ROW][C]> r0
            Numeracy   Gebgew2 Gebgewicht
Numeracy   1.0000000 0.2208704  0.2731058
Gebgew2    0.2208704 1.0000000  0.9969034
Gebgewicht 0.2731058 0.9969034  1.0000000
[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=289579&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=289579&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 Numeracy Gebgew2 Gebgewicht Numeracy 1.0000000 0.2208704 0.2731058 Gebgew2 0.2208704 1.0000000 0.9969034 Gebgewicht 0.2731058 0.9969034 1.0000000

Partial Pearson Correlation Matrix (Shrinkage Method)

> r1
            Numeracy   Gebgew2 Gebgewicht
Numeracy   1.0000000 0.0123223  0.1269475
Gebgew2    0.0123223 1.0000000  0.7647390
Gebgewicht 0.1269475 0.7647390  1.0000000
attr(,"lambda")
[1] 0.2249877
attr(,"lambda.estimated")
[1] TRUE
attr(,"class")
[1] "shrinkage"
attr(,"spv")
  Numeracy    Gebgew2 Gebgewicht 
 0.9550549  0.4030089  0.3965744

\begin{tabular}{lllllllll}
\hline
Partial Pearson Correlation Matrix (Shrinkage Method) \tabularnewline
> r1
            Numeracy   Gebgew2 Gebgewicht
Numeracy   1.0000000 0.0123223  0.1269475
Gebgew2    0.0123223 1.0000000  0.7647390
Gebgewicht 0.1269475 0.7647390  1.0000000
attr(,"lambda")
[1] 0.2249877
attr(,"lambda.estimated")
[1] TRUE
attr(,"class")
[1] "shrinkage"
attr(,"spv")
  Numeracy    Gebgew2 Gebgewicht 
 0.9550549  0.4030089  0.3965744 
 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=289579&T=2

[TABLE]
[ROW][C]Partial Pearson Correlation Matrix (Shrinkage Method)[/C][/ROW]
[ROW][C]> r1
            Numeracy   Gebgew2 Gebgewicht
Numeracy   1.0000000 0.0123223  0.1269475
Gebgew2    0.0123223 1.0000000  0.7647390
Gebgewicht 0.1269475 0.7647390  1.0000000
attr(,"lambda")
[1] 0.2249877
attr(,"lambda.estimated")
[1] TRUE
attr(,"class")
[1] "shrinkage"
attr(,"spv")
  Numeracy    Gebgew2 Gebgewicht 
 0.9550549  0.4030089  0.3965744 
[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=289579&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=289579&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
            Numeracy   Gebgew2 Gebgewicht
Numeracy   1.0000000 0.0123223  0.1269475
Gebgew2    0.0123223 1.0000000  0.7647390
Gebgewicht 0.1269475 0.7647390  1.0000000
attr(,"lambda")
[1] 0.2249877
attr(,"lambda.estimated")
[1] TRUE
attr(,"class")
[1] "shrinkage"
attr(,"spv")
  Numeracy    Gebgew2 Gebgewicht 
 0.9550549  0.4030089  0.3965744

Parameters (Session):

par1 = 1 ; par2 = 2 ; par3 = 95 ; par4 = two.sided ; par5 = unpaired ; par6 = 0 ;

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