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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 08:43:08 +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/t1452501805vqrmsfv4r74cs7f.htm/, Retrieved Tue, 10 Feb 2026 03:26:45 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=288665, Retrieved Tue, 10 Feb 2026 03:26:45 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

271

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

-       [Partial Correlation Matrix] [] [2016-01-11 08:43:08] [458bc02f6d4386c4526d029d1899c9d8] [Current]

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Dataseries X:

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Histogram

Boxplots

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

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	'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 & 0 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=288665&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]'Sir Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=288665&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=288665&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	'Sir Ronald Aylmer Fisher' @ fisher.wessa.net

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

\begin{tabular}{lllllllll}
\hline
Pearson Correlation Matrix \tabularnewline
> r0
            Numeracy Gebgewicht   Gebgew2
Numeracy   1.0000000  0.2731058 0.2208704
Gebgewicht 0.2731058  1.0000000 0.9969034
Gebgew2    0.2208704  0.9969034 1.0000000
 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=288665&T=1

[TABLE]
[ROW][C]Pearson Correlation Matrix[/C][/ROW]
[ROW][C]> r0
            Numeracy Gebgewicht   Gebgew2
Numeracy   1.0000000  0.2731058 0.2208704
Gebgewicht 0.2731058  1.0000000 0.9969034
Gebgew2    0.2208704  0.9969034 1.0000000
[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=288665&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=288665&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 Gebgewicht Gebgew2 Numeracy 1.0000000 0.2731058 0.2208704 Gebgewicht 0.2731058 1.0000000 0.9969034 Gebgew2 0.2208704 0.9969034 1.0000000

Partial Pearson Correlation Matrix (Shrinkage Method)

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

\begin{tabular}{lllllllll}
\hline
Partial Pearson Correlation Matrix (Shrinkage Method) \tabularnewline
> r1
            Numeracy Gebgewicht   Gebgew2
Numeracy   1.0000000  0.1269475 0.0123223
Gebgewicht 0.1269475  1.0000000 0.7647390
Gebgew2    0.0123223  0.7647390 1.0000000
attr(,"lambda")
[1] 0.2249877
attr(,"lambda.estimated")
[1] TRUE
attr(,"class")
[1] "shrinkage"
attr(,"spv")
  Numeracy Gebgewicht    Gebgew2 
 0.9550549  0.3965744  0.4030089 
 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=288665&T=2

[TABLE]
[ROW][C]Partial Pearson Correlation Matrix (Shrinkage Method)[/C][/ROW]
[ROW][C]> r1
            Numeracy Gebgewicht   Gebgew2
Numeracy   1.0000000  0.1269475 0.0123223
Gebgewicht 0.1269475  1.0000000 0.7647390
Gebgew2    0.0123223  0.7647390 1.0000000
attr(,"lambda")
[1] 0.2249877
attr(,"lambda.estimated")
[1] TRUE
attr(,"class")
[1] "shrinkage"
attr(,"spv")
  Numeracy Gebgewicht    Gebgew2 
 0.9550549  0.3965744  0.4030089 
[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=288665&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=288665&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 Gebgewicht   Gebgew2
Numeracy   1.0000000  0.1269475 0.0123223
Gebgewicht 0.1269475  1.0000000 0.7647390
Gebgew2    0.0123223  0.7647390 1.0000000
attr(,"lambda")
[1] 0.2249877
attr(,"lambda.estimated")
[1] TRUE
attr(,"class")
[1] "shrinkage"
attr(,"spv")
  Numeracy Gebgewicht    Gebgew2 
 0.9550549  0.3965744  0.4030089

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')

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code