FreeStatistics.org

Free Statistics

of Irreproducible Research!

Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_partialcorrelationmatrix.wasp
Title produced by softwarePartial Correlation Matrix
Date of computationSat, 17 Dec 2016 12:56:53 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2016/Dec/17/t1481976032zeery2mywdklwxb.htm/, Retrieved Thu, 02 May 2024 00:32:05 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=300739, Retrieved Thu, 02 May 2024 00:32:05 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact99

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [] [2015-11-15 16:35:00] [32b17a345b130fdf5cc88718ed94a974]
- RMPD    [Partial Correlation Matrix] [Partial Correlati...] [2016-12-17 11:56:53] [2ea868439aa9f960cb5a0f1a9b97f873] [Current]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
9	18	1
8	19	2
10	18	2
8	15	2
9	19	1
10	19	2
9	19	2
9	16	2
9	18	1
9	20	1
10	14	1
9	15	1
13	18	1
11	19	1
10	16	1
8	18	2
11	18	1
6	17	2
7	19	2
9	19	2
9	17	1
10	18	2
9	16	2
10	20	1
8	13	1
10	19	1
10	15	1
11	17	1
10	17	1
9	16	1
7	17	2
11	19	1
6	18	1
11	19	2
10	20	1
9	16	1
10	17	2
10	16	1
9	16	1
8	16	2
9	16	2
9	14	2
10	17	2
11	18	2
7,5	16	2
9	16	2
10	13	2
8	16	2
3	15	1
10	19	2
10	16	1
10	17	2
4	19	2
10	17	1
8	17	2
9	15	1
13	16	1
10	16	2
8	16	1
9	17	2
11	18	2
10	18	2
9	18	2
10	19	1
7	14	2
10	13	1
10	18	2
11	16	1
12	15	2
8	18	2
10	18	2
6	16	1
9	19	2
11	17	1
10	17	2
10	19	1
8	19	2
10	20	1
9	19	2
9	18	2
10	16	1
10	16	1
11	15	1
9	20	2
12	16	2
7	16	2
9	20	2
9	20	2
11	18	1
8	15	2
9	14	1
9	16	1
9	14	1
9	18	1
11	20	2
9	20	2
7	18	2
15	20	1
9	14	2
9	20	2
12	17	1
10	20	1
9	14	2
10	16	2
10	20	2
9	19	2
10	18	1
10	17	1
9	17	1
9	19	2
9	15	2
9	18	2
11	15	1
9	16	1
7	16	2
11	20	1
9	18	1
7	20	2
12	18	1
8	17	1
9	19	1
9	18	2
9	19	2
9	17	2
11	18	2
9	17	2
10	16	1
10	19	1
9	18	2
8	17	2
10	18	2
9	16	1
8	20	2
10	14	1
9	17	1
13	13	1
8	17	2
11	18	1
9	16	1
8	17	1
9	19	1
10	19	2
10	17	1
10	16	2
9	17	2
11	17	2
7	17	2
9	20	1
10	14	1
11	20	1
8	19	1
8	16	2
7	19	2
9	17	2
9	19	2
10	20	1
9	19	2
11	19	1
8	16	2
11	18	1
9	16	1
9	17	1
9	18	1
7	16	1
10	17	2
9	15	2
9	18	1

Tables (Output of Computation)





Summary of computational transaction
Raw Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time0 seconds
R ServerBig 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 time0 seconds \tabularnewline
R ServerBig Analytics Cloud Computing Center \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=300739&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]0 seconds[/C][/ROW] [ROW]R Server[/C]Big Analytics Cloud Computing Center[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=300739&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=300739&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 Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time0 seconds
R ServerBig Analytics Cloud Computing Center






Pearson Correlation Matrix
> r0
               GWSUM      IKSUM    Geslacht
GWSUM     1.00000000 0.07057393 -0.25588735
IKSUM     0.07057393 1.00000000  0.09972394
Geslacht -0.25588735 0.09972394  1.00000000


\begin{tabular}{lllllllll}
\hline
Pearson Correlation Matrix \tabularnewline

> r0
               GWSUM      IKSUM    Geslacht
GWSUM     1.00000000 0.07057393 -0.25588735
IKSUM     0.07057393 1.00000000  0.09972394
Geslacht -0.25588735 0.09972394  1.00000000

 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=300739&T=1

[TABLE]
[ROW][C]Pearson Correlation Matrix[/C][/ROW]
[ROW][C]
> r0
               GWSUM      IKSUM    Geslacht
GWSUM     1.00000000 0.07057393 -0.25588735
IKSUM     0.07057393 1.00000000  0.09972394
Geslacht -0.25588735 0.09972394  1.00000000

[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=300739&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=300739&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:

Pearson Correlation Matrix
> r0
               GWSUM      IKSUM    Geslacht
GWSUM     1.00000000 0.07057393 -0.25588735
IKSUM     0.07057393 1.00000000  0.09972394
Geslacht -0.25588735 0.09972394  1.00000000






Partial Pearson Correlation Matrix (Shrinkage Method)
> r1
               GWSUM      IKSUM    Geslacht
GWSUM     1.00000000 0.07082752 -0.20153729
IKSUM     0.07082752 1.00000000  0.08909425
Geslacht -0.20153729 0.08909425  1.00000000
attr(,"lambda")
[1] 0.2320842
attr(,"lambda.estimated")
[1] TRUE
attr(,"class")
[1] "shrinkage"
attr(,"spv")
    GWSUM     IKSUM  Geslacht 
0.9565649 0.9891484 0.9537565 


\begin{tabular}{lllllllll}
\hline
Partial Pearson Correlation Matrix (Shrinkage Method) \tabularnewline

> r1
               GWSUM      IKSUM    Geslacht
GWSUM     1.00000000 0.07082752 -0.20153729
IKSUM     0.07082752 1.00000000  0.08909425
Geslacht -0.20153729 0.08909425  1.00000000
attr(,"lambda")
[1] 0.2320842
attr(,"lambda.estimated")
[1] TRUE
attr(,"class")
[1] "shrinkage"
attr(,"spv")
    GWSUM     IKSUM  Geslacht 
0.9565649 0.9891484 0.9537565 

 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=300739&T=2

[TABLE]
[ROW][C]Partial Pearson Correlation Matrix (Shrinkage Method)[/C][/ROW]
[ROW][C]
> r1
               GWSUM      IKSUM    Geslacht
GWSUM     1.00000000 0.07082752 -0.20153729
IKSUM     0.07082752 1.00000000  0.08909425
Geslacht -0.20153729 0.08909425  1.00000000
attr(,"lambda")
[1] 0.2320842
attr(,"lambda.estimated")
[1] TRUE
attr(,"class")
[1] "shrinkage"
attr(,"spv")
    GWSUM     IKSUM  Geslacht 
0.9565649 0.9891484 0.9537565 

[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=300739&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=300739&T=2

As an alternative you can also use a QR Code:  
QR Code


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

Partial Pearson Correlation Matrix (Shrinkage Method)
> r1
               GWSUM      IKSUM    Geslacht
GWSUM     1.00000000 0.07082752 -0.20153729
IKSUM     0.07082752 1.00000000  0.08909425
Geslacht -0.20153729 0.08909425  1.00000000
attr(,"lambda")
[1] 0.2320842
attr(,"lambda.estimated")
[1] TRUE
attr(,"class")
[1] "shrinkage"
attr(,"spv")
    GWSUM     IKSUM  Geslacht 
0.9565649 0.9891484 0.9537565


Figures (Output of Computation)

Input Parameters & R Code

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')