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*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, 23 Jan 2017 12:12:02 +0100

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/2017/Jan/23/t1485169944g914m6n4a2ms8qp.htm/, Retrieved Wed, 15 May 2024 11:15:28 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=305008, Retrieved Wed, 15 May 2024 11:15:28 +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] [] [2017-01-23 11:12:02] [edc2f5fec8bc13a194b8d4e5c8aca340] [Current]

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Dataseries X:

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Histogram

Boxplots

6 1 1 0 0 0 3.2 3.2 10.24
7 0 0 1 0 1 3.3 0 10.89
2 1 0 1 1 1 3 3 9
11 0 0 1 0 1 3.5 0 12.25
13 1 0 1 0 0 3.7 3.7 13.69
3 0 1 0 0 0 2.7 0 7.29
17 1 0 1 1 1 3.6 3.6 12.96
10 0 0 1 0 1 3.5 0 12.25
4 1 1 0 0 0 3.8 3.8 14.44
12 0 0 1 0 0 3.4 0 11.56
7 1 0 0 0 1 3.7 3.7 13.69
11 0 0 1 0 0 3.5 0 12.25
3 1 0 0 1 0 2.8 2.8 7.84
5 0 1 0 1 0 3.8 0 14.44
1 1 0 1 0 0 4.3 4.3 18.49
12 0 0 0 0 1 3.3 0 10.89
18 1 0 0 0 0 3.6 3.6 12.96
8 0 1 0 1 0 3.6 0 12.96
6 1 1 1 0 0 3.3 3.3 10.89
1 0 0 0 0 0 2.8 0 7.84

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	Big Analytics Cloud Computing Center

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input view raw input (R code)  \tabularnewline
Raw Outputview raw output of R engine  \tabularnewline
Computing time1 seconds \tabularnewline
R ServerBig Analytics Cloud Computing Center \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=305008&T=0

[TABLE]
[ROW]

Summary of computational transaction[/C][/ROW] [ROW]

Raw Input[/C]

view raw input (R code) [/C][/ROW] [ROW]

Raw Output[/C]

view raw output of R engine [/C][/ROW] [ROW]

Computing time[/C]

1 seconds[/C][/ROW] [ROW]

R Server[/C]

Big Analytics Cloud Computing Center[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=305008&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=305008&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	Big Analytics Cloud Computing Center

Pearson Correlation Matrix

> r0
               Score    Geslacht          X1         X2          X3          X4
Score     1.00000000 -0.03066497 -0.33681284  0.2350981 -0.10032511  0.23680612
Geslacht -0.03066497  1.00000000  0.00000000  0.0000000  0.11547005 -0.10482848
X1       -0.33681284  0.00000000  1.00000000 -0.4364358  0.12598816 -0.48038446
X2        0.23509813  0.00000000 -0.43643578  1.0000000 -0.11547005  0.31448545
X3       -0.10032511  0.11547005  0.12598816 -0.1154701  1.00000000  0.06052275
X4        0.23680612 -0.10482848 -0.48038446  0.3144855  0.06052275  1.00000000
X5        0.27310579  0.21038067 -0.03443162  0.2366783 -0.09109750 -0.01102694
Inter    -0.01065885  0.98640481 -0.01230007  0.0225464  0.04230579 -0.11522084
X6        0.22087045  0.22288281 -0.03301269  0.2240376 -0.08912135 -0.03861795
                  X5       Inter          X6
Score     0.27310579 -0.01065885  0.22087045
Geslacht  0.21038067  0.98640481  0.22288281
X1       -0.03443162 -0.01230007 -0.03301269
X2        0.23667826  0.02254640  0.22403765
X3       -0.09109750  0.04230579 -0.08912135
X4       -0.01102694 -0.11522084 -0.03861795
X5        1.00000000  0.33351510  0.99690343
Inter     0.33351510  1.00000000  0.34954026
X6        0.99690343  0.34954026  1.00000000

\begin{tabular}{lllllllll}
\hline
Pearson Correlation Matrix \tabularnewline
> r0
               Score    Geslacht          X1         X2          X3          X4
Score     1.00000000 -0.03066497 -0.33681284  0.2350981 -0.10032511  0.23680612
Geslacht -0.03066497  1.00000000  0.00000000  0.0000000  0.11547005 -0.10482848
X1       -0.33681284  0.00000000  1.00000000 -0.4364358  0.12598816 -0.48038446
X2        0.23509813  0.00000000 -0.43643578  1.0000000 -0.11547005  0.31448545
X3       -0.10032511  0.11547005  0.12598816 -0.1154701  1.00000000  0.06052275
X4        0.23680612 -0.10482848 -0.48038446  0.3144855  0.06052275  1.00000000
X5        0.27310579  0.21038067 -0.03443162  0.2366783 -0.09109750 -0.01102694
Inter    -0.01065885  0.98640481 -0.01230007  0.0225464  0.04230579 -0.11522084
X6        0.22087045  0.22288281 -0.03301269  0.2240376 -0.08912135 -0.03861795
                  X5       Inter          X6
Score     0.27310579 -0.01065885  0.22087045
Geslacht  0.21038067  0.98640481  0.22288281
X1       -0.03443162 -0.01230007 -0.03301269
X2        0.23667826  0.02254640  0.22403765
X3       -0.09109750  0.04230579 -0.08912135
X4       -0.01102694 -0.11522084 -0.03861795
X5        1.00000000  0.33351510  0.99690343
Inter     0.33351510  1.00000000  0.34954026
X6        0.99690343  0.34954026  1.00000000
 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=305008&T=1

[TABLE]
[ROW][C]Pearson Correlation Matrix[/C][/ROW]
[ROW][C]> r0
               Score    Geslacht          X1         X2          X3          X4
Score     1.00000000 -0.03066497 -0.33681284  0.2350981 -0.10032511  0.23680612
Geslacht -0.03066497  1.00000000  0.00000000  0.0000000  0.11547005 -0.10482848
X1       -0.33681284  0.00000000  1.00000000 -0.4364358  0.12598816 -0.48038446
X2        0.23509813  0.00000000 -0.43643578  1.0000000 -0.11547005  0.31448545
X3       -0.10032511  0.11547005  0.12598816 -0.1154701  1.00000000  0.06052275
X4        0.23680612 -0.10482848 -0.48038446  0.3144855  0.06052275  1.00000000
X5        0.27310579  0.21038067 -0.03443162  0.2366783 -0.09109750 -0.01102694
Inter    -0.01065885  0.98640481 -0.01230007  0.0225464  0.04230579 -0.11522084
X6        0.22087045  0.22288281 -0.03301269  0.2240376 -0.08912135 -0.03861795
                  X5       Inter          X6
Score     0.27310579 -0.01065885  0.22087045
Geslacht  0.21038067  0.98640481  0.22288281
X1       -0.03443162 -0.01230007 -0.03301269
X2        0.23667826  0.02254640  0.22403765
X3       -0.09109750  0.04230579 -0.08912135
X4       -0.01102694 -0.11522084 -0.03861795
X5        1.00000000  0.33351510  0.99690343
Inter     0.33351510  1.00000000  0.34954026
X6        0.99690343  0.34954026  1.00000000
[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=305008&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=305008&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
               Score    Geslacht          X1         X2          X3          X4
Score     1.00000000 -0.03066497 -0.33681284  0.2350981 -0.10032511  0.23680612
Geslacht -0.03066497  1.00000000  0.00000000  0.0000000  0.11547005 -0.10482848
X1       -0.33681284  0.00000000  1.00000000 -0.4364358  0.12598816 -0.48038446
X2        0.23509813  0.00000000 -0.43643578  1.0000000 -0.11547005  0.31448545
X3       -0.10032511  0.11547005  0.12598816 -0.1154701  1.00000000  0.06052275
X4        0.23680612 -0.10482848 -0.48038446  0.3144855  0.06052275  1.00000000
X5        0.27310579  0.21038067 -0.03443162  0.2366783 -0.09109750 -0.01102694
Inter    -0.01065885  0.98640481 -0.01230007  0.0225464  0.04230579 -0.11522084
X6        0.22087045  0.22288281 -0.03301269  0.2240376 -0.08912135 -0.03861795
                  X5       Inter          X6
Score     0.27310579 -0.01065885  0.22087045
Geslacht  0.21038067  0.98640481  0.22288281
X1       -0.03443162 -0.01230007 -0.03301269
X2        0.23667826  0.02254640  0.22403765
X3       -0.09109750  0.04230579 -0.08912135
X4       -0.01102694 -0.11522084 -0.03861795
X5        1.00000000  0.33351510  0.99690343
Inter     0.33351510  1.00000000  0.34954026
X6        0.99690343  0.34954026  1.00000000

Partial Pearson Correlation Matrix (Shrinkage Method)

> r1
               Score     Geslacht           X1           X2          X3
Score     1.00000000 -0.014160264 -0.119618108  0.054433393 -0.03109909
Geslacht -0.01416026  1.000000000 -0.008193639 -0.003726932  0.05165900
X1       -0.11961811 -0.008193639  1.000000000 -0.161407178  0.05265936
X2        0.05443339 -0.003726932 -0.161407178  1.000000000 -0.03895758
X3       -0.03109909  0.051659003  0.052659358 -0.038957582  1.00000000
X4        0.07308561 -0.027261380 -0.188000474  0.103718107  0.04965118
X5        0.08605704  0.021226630  0.015724432  0.063316036 -0.02348077
Inter    -0.01612890  0.435516351 -0.013958530 -0.002826306  0.00429658
X6        0.04933696  0.024534549  0.006807580  0.058424770 -0.02326297
                   X4           X5        Inter          X6
Score     0.073085614  0.086057041 -0.016128899  0.04933696
Geslacht -0.027261380  0.021226630  0.435516351  0.02453455
X1       -0.188000474  0.015724432 -0.013958530  0.00680758
X2        0.103718107  0.063316036 -0.002826306  0.05842477
X3        0.049651182 -0.023480767  0.004296580 -0.02326297
X4        1.000000000 -0.006067892 -0.033880115 -0.02237248
X5       -0.006067892  1.000000000  0.074827649  0.42602131
Inter    -0.033880115  0.074827649  1.000000000  0.08244341
X6       -0.022372483  0.426021314  0.082443412  1.00000000
attr(,"lambda")
[1] 0.5448222
attr(,"lambda.estimated")
[1] TRUE
attr(,"class")
[1] "shrinkage"
attr(,"spv")
    Score  Geslacht        X1        X2        X3        X4        X5     Inter 
0.9484332 0.7942795 0.9072189 0.9309640 0.9866083 0.9305784 0.7770838 0.7799177 
       X6 
0.7797217

\begin{tabular}{lllllllll}
\hline
Partial Pearson Correlation Matrix (Shrinkage Method) \tabularnewline
> r1
               Score     Geslacht           X1           X2          X3
Score     1.00000000 -0.014160264 -0.119618108  0.054433393 -0.03109909
Geslacht -0.01416026  1.000000000 -0.008193639 -0.003726932  0.05165900
X1       -0.11961811 -0.008193639  1.000000000 -0.161407178  0.05265936
X2        0.05443339 -0.003726932 -0.161407178  1.000000000 -0.03895758
X3       -0.03109909  0.051659003  0.052659358 -0.038957582  1.00000000
X4        0.07308561 -0.027261380 -0.188000474  0.103718107  0.04965118
X5        0.08605704  0.021226630  0.015724432  0.063316036 -0.02348077
Inter    -0.01612890  0.435516351 -0.013958530 -0.002826306  0.00429658
X6        0.04933696  0.024534549  0.006807580  0.058424770 -0.02326297
                   X4           X5        Inter          X6
Score     0.073085614  0.086057041 -0.016128899  0.04933696
Geslacht -0.027261380  0.021226630  0.435516351  0.02453455
X1       -0.188000474  0.015724432 -0.013958530  0.00680758
X2        0.103718107  0.063316036 -0.002826306  0.05842477
X3        0.049651182 -0.023480767  0.004296580 -0.02326297
X4        1.000000000 -0.006067892 -0.033880115 -0.02237248
X5       -0.006067892  1.000000000  0.074827649  0.42602131
Inter    -0.033880115  0.074827649  1.000000000  0.08244341
X6       -0.022372483  0.426021314  0.082443412  1.00000000
attr(,"lambda")
[1] 0.5448222
attr(,"lambda.estimated")
[1] TRUE
attr(,"class")
[1] "shrinkage"
attr(,"spv")
    Score  Geslacht        X1        X2        X3        X4        X5     Inter 
0.9484332 0.7942795 0.9072189 0.9309640 0.9866083 0.9305784 0.7770838 0.7799177 
       X6 
0.7797217 
 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=305008&T=2

[TABLE]
[ROW][C]Partial Pearson Correlation Matrix (Shrinkage Method)[/C][/ROW]
[ROW][C]> r1
               Score     Geslacht           X1           X2          X3
Score     1.00000000 -0.014160264 -0.119618108  0.054433393 -0.03109909
Geslacht -0.01416026  1.000000000 -0.008193639 -0.003726932  0.05165900
X1       -0.11961811 -0.008193639  1.000000000 -0.161407178  0.05265936
X2        0.05443339 -0.003726932 -0.161407178  1.000000000 -0.03895758
X3       -0.03109909  0.051659003  0.052659358 -0.038957582  1.00000000
X4        0.07308561 -0.027261380 -0.188000474  0.103718107  0.04965118
X5        0.08605704  0.021226630  0.015724432  0.063316036 -0.02348077
Inter    -0.01612890  0.435516351 -0.013958530 -0.002826306  0.00429658
X6        0.04933696  0.024534549  0.006807580  0.058424770 -0.02326297
                   X4           X5        Inter          X6
Score     0.073085614  0.086057041 -0.016128899  0.04933696
Geslacht -0.027261380  0.021226630  0.435516351  0.02453455
X1       -0.188000474  0.015724432 -0.013958530  0.00680758
X2        0.103718107  0.063316036 -0.002826306  0.05842477
X3        0.049651182 -0.023480767  0.004296580 -0.02326297
X4        1.000000000 -0.006067892 -0.033880115 -0.02237248
X5       -0.006067892  1.000000000  0.074827649  0.42602131
Inter    -0.033880115  0.074827649  1.000000000  0.08244341
X6       -0.022372483  0.426021314  0.082443412  1.00000000
attr(,"lambda")
[1] 0.5448222
attr(,"lambda.estimated")
[1] TRUE
attr(,"class")
[1] "shrinkage"
attr(,"spv")
    Score  Geslacht        X1        X2        X3        X4        X5     Inter 
0.9484332 0.7942795 0.9072189 0.9309640 0.9866083 0.9305784 0.7770838 0.7799177 
       X6 
0.7797217 
[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=305008&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=305008&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
               Score     Geslacht           X1           X2          X3
Score     1.00000000 -0.014160264 -0.119618108  0.054433393 -0.03109909
Geslacht -0.01416026  1.000000000 -0.008193639 -0.003726932  0.05165900
X1       -0.11961811 -0.008193639  1.000000000 -0.161407178  0.05265936
X2        0.05443339 -0.003726932 -0.161407178  1.000000000 -0.03895758
X3       -0.03109909  0.051659003  0.052659358 -0.038957582  1.00000000
X4        0.07308561 -0.027261380 -0.188000474  0.103718107  0.04965118
X5        0.08605704  0.021226630  0.015724432  0.063316036 -0.02348077
Inter    -0.01612890  0.435516351 -0.013958530 -0.002826306  0.00429658
X6        0.04933696  0.024534549  0.006807580  0.058424770 -0.02326297
                   X4           X5        Inter          X6
Score     0.073085614  0.086057041 -0.016128899  0.04933696
Geslacht -0.027261380  0.021226630  0.435516351  0.02453455
X1       -0.188000474  0.015724432 -0.013958530  0.00680758
X2        0.103718107  0.063316036 -0.002826306  0.05842477
X3        0.049651182 -0.023480767  0.004296580 -0.02326297
X4        1.000000000 -0.006067892 -0.033880115 -0.02237248
X5       -0.006067892  1.000000000  0.074827649  0.42602131
Inter    -0.033880115  0.074827649  1.000000000  0.08244341
X6       -0.022372483  0.426021314  0.082443412  1.00000000
attr(,"lambda")
[1] 0.5448222
attr(,"lambda.estimated")
[1] TRUE
attr(,"class")
[1] "shrinkage"
attr(,"spv")
    Score  Geslacht        X1        X2        X3        X4        X5     Inter 
0.9484332 0.7942795 0.9072189 0.9309640 0.9866083 0.9305784 0.7770838 0.7799177 
       X6 
0.7797217

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