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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 computationTue, 15 Dec 2015 18:53:30 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2015/Dec/15/t1450205692ebg1d7ia6u3a4yc.htm/, Retrieved Sat, 18 May 2024 07:26:46 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=286559, Retrieved Sat, 18 May 2024 07:26:46 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact60

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] [Partial Pearson C...] [2015-12-15 18:53:30] [39661ea0cc1af7d66f31b3ef3719ea7a] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
104	191
81	190
101	220
92	194
83	144
101	192
64	162
57	96
108	265
121	222
99	182
109	203
96	198
88	159
91	196
71	140
85	163
93	177
64	123
48	100
96	227
95	205
74	133
91	190

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 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 & 1 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=286559&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]1 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=286559&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=286559&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 Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Sir Ronald Aylmer Fisher' @ fisher.wessa.net






Pearson Correlation Matrix
> r0
          Vlaams    Totaal
Vlaams 1.0000000 0.8707513
Totaal 0.8707513 1.0000000


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

> r0
          Vlaams    Totaal
Vlaams 1.0000000 0.8707513
Totaal 0.8707513 1.0000000

 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=286559&T=1

[TABLE]
[ROW][C]Pearson Correlation Matrix[/C][/ROW]
[ROW][C]
> r0
          Vlaams    Totaal
Vlaams 1.0000000 0.8707513
Totaal 0.8707513 1.0000000

[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=286559&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=286559&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
          Vlaams    Totaal
Vlaams 1.0000000 0.8707513
Totaal 0.8707513 1.0000000






Partial Pearson Correlation Matrix (Shrinkage Method)
> r1
          Vlaams    Totaal
Vlaams 1.0000000 0.7986764
Totaal 0.7986764 1.0000000
attr(,"lambda")
[1] 0.08277321
attr(,"lambda.estimated")
[1] TRUE
attr(,"class")
[1] "shrinkage"
attr(,"spv")
  Vlaams   Totaal 
0.362116 0.362116 


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

> r1
          Vlaams    Totaal
Vlaams 1.0000000 0.7986764
Totaal 0.7986764 1.0000000
attr(,"lambda")
[1] 0.08277321
attr(,"lambda.estimated")
[1] TRUE
attr(,"class")
[1] "shrinkage"
attr(,"spv")
  Vlaams   Totaal 
0.362116 0.362116 

 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=286559&T=2

[TABLE]
[ROW][C]Partial Pearson Correlation Matrix (Shrinkage Method)[/C][/ROW]
[ROW][C]
> r1
          Vlaams    Totaal
Vlaams 1.0000000 0.7986764
Totaal 0.7986764 1.0000000
attr(,"lambda")
[1] 0.08277321
attr(,"lambda.estimated")
[1] TRUE
attr(,"class")
[1] "shrinkage"
attr(,"spv")
  Vlaams   Totaal 
0.362116 0.362116 

[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=286559&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=286559&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
          Vlaams    Totaal
Vlaams 1.0000000 0.7986764
Totaal 0.7986764 1.0000000
attr(,"lambda")
[1] 0.08277321
attr(,"lambda.estimated")
[1] TRUE
attr(,"class")
[1] "shrinkage"
attr(,"spv")
  Vlaams   Totaal 
0.362116 0.362116


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')