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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 computationWed, 14 Dec 2016 16:41:12 +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/14/t1481730171fc05zzr61tp3rj1.htm/, Retrieved Sat, 04 May 2024 00:30:27 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=299575, Retrieved Sat, 04 May 2024 00:30:27 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact87

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Partial Correlation Matrix] [Paper Statistiek] [2016-12-14 15:41:12] [1e2703d0f11438bcd65480dae45a3781] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
13	22	1
16	24	2
17	26	2
15	21	2
16	26	1
16	25	2
18	21	2
16	24	2
17	27	1
17	28	1
17	23	1
15	25	1
16	24	1
14	24	1
16	24	1
17	25	2
16	25	1
15	25	2
17	25	2
16	24	2
15	26	1
16	26	2
15	25	2
17	26	1
14	23	1
16	24	1
15	24	1
16	25	1
16	25	1
13	24	1
15	28	2
17	27	1
15	25	1
13	23	2
17	23	1
15	24	1
14	24	2
14	22	1
18	25	1
15	25	2
17	28	2
13	22	2
16	28	2
15	25	2
15	24	2
16	24	2
15	23	2
13	25	2
17	26	2
18	25	1
18	27	2
11	26	2
14	23	1
13	25	2
15	21	1
17	22	1
16	24	2
15	25	1
17	27	2
16	24	2
16	26	2
16	21	2
15	27	1
12	22	2
17	23	1
14	24	2
14	25	1
16	24	2
15	23	2
15	28	2
14	23	1
13	24	2
18	26	1
15	22	2
16	25	1
14	25	2
15	24	1
17	24	2
16	26	2
10	21	1
16	25	1
17	25	1
17	26	2
20	25	2
17	26	2
18	27	2
15	25	2
17	23	1
14	20	2
15	24	1
17	26	1
16	25	1
17	25	1
15	24	2
16	26	2
18	25	2
18	28	1
16	27	2
17	26	1
15	26	1
13	26	2
15	21	2
17	28	2
16	26	2
16	21	1
15	25	1
16	25	1
16	24	2
14	24	2
15	24	2
12	23	1
19	23	1
16	24	2
16	24	1
17	25	1
16	28	2
14	23	1
15	24	1
14	23	1
16	24	2
15	25	2
17	24	2
15	23	2
16	23	2
16	25	1
15	21	1
15	22	2
11	19	2
16	24	2
18	25	1
13	21	2
11	22	1
16	23	1
18	27	1
15	26	2
19	29	1
17	28	1
13	24	1
14	25	1
16	25	2
13	22	1
17	25	2
14	26	2
19	26	2
14	24	2
16	25	1
12	19	1
16	25	1
16	23	1
15	25	2
12	25	2
15	26	2
17	27	2
14	24	1
15	22	2
18	25	1
15	24	2
18	23	1
15	27	1
15	24	1
16	24	1
13	21	1
16	25	2
14	25	2
16	23	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=299575&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=299575&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=299575&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
             tevredenheid  kwaliteit    geslacht
tevredenheid   1.00000000 0.44119386 -0.05196926
kwaliteit      0.44119386 1.00000000  0.07731318
geslacht      -0.05196926 0.07731318  1.00000000


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

> r0
             tevredenheid  kwaliteit    geslacht
tevredenheid   1.00000000 0.44119386 -0.05196926
kwaliteit      0.44119386 1.00000000  0.07731318
geslacht      -0.05196926 0.07731318  1.00000000

 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=299575&T=1

[TABLE]
[ROW][C]Pearson Correlation Matrix[/C][/ROW]
[ROW][C]
> r0
             tevredenheid  kwaliteit    geslacht
tevredenheid   1.00000000 0.44119386 -0.05196926
kwaliteit      0.44119386 1.00000000  0.07731318
geslacht      -0.05196926 0.07731318  1.00000000

[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=299575&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=299575&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
             tevredenheid  kwaliteit    geslacht
tevredenheid   1.00000000 0.44119386 -0.05196926
kwaliteit      0.44119386 1.00000000  0.07731318
geslacht      -0.05196926 0.07731318  1.00000000






Partial Pearson Correlation Matrix (Shrinkage Method)
> r1
             tevredenheid  kwaliteit    geslacht
tevredenheid   1.00000000 0.39840325 -0.08022748
kwaliteit      0.39840325 1.00000000  0.09505762
geslacht      -0.08022748 0.09505762  1.00000000
attr(,"lambda")
[1] 0.1073673
attr(,"lambda.estimated")
[1] TRUE
attr(,"class")
[1] "shrinkage"
attr(,"spv")
tevredenheid    kwaliteit     geslacht 
   0.8394644    0.8372681    0.9888315 


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

> r1
             tevredenheid  kwaliteit    geslacht
tevredenheid   1.00000000 0.39840325 -0.08022748
kwaliteit      0.39840325 1.00000000  0.09505762
geslacht      -0.08022748 0.09505762  1.00000000
attr(,"lambda")
[1] 0.1073673
attr(,"lambda.estimated")
[1] TRUE
attr(,"class")
[1] "shrinkage"
attr(,"spv")
tevredenheid    kwaliteit     geslacht 
   0.8394644    0.8372681    0.9888315 

 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=299575&T=2

[TABLE]
[ROW][C]Partial Pearson Correlation Matrix (Shrinkage Method)[/C][/ROW]
[ROW][C]
> r1
             tevredenheid  kwaliteit    geslacht
tevredenheid   1.00000000 0.39840325 -0.08022748
kwaliteit      0.39840325 1.00000000  0.09505762
geslacht      -0.08022748 0.09505762  1.00000000
attr(,"lambda")
[1] 0.1073673
attr(,"lambda.estimated")
[1] TRUE
attr(,"class")
[1] "shrinkage"
attr(,"spv")
tevredenheid    kwaliteit     geslacht 
   0.8394644    0.8372681    0.9888315 

[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=299575&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=299575&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
             tevredenheid  kwaliteit    geslacht
tevredenheid   1.00000000 0.39840325 -0.08022748
kwaliteit      0.39840325 1.00000000  0.09505762
geslacht      -0.08022748 0.09505762  1.00000000
attr(,"lambda")
[1] 0.1073673
attr(,"lambda.estimated")
[1] TRUE
attr(,"class")
[1] "shrinkage"
attr(,"spv")
tevredenheid    kwaliteit     geslacht 
   0.8394644    0.8372681    0.9888315


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = TRUE ;
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')