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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 computationMon, 14 Dec 2015 22:41:35 +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/14/t14501329986vrkxnvx0m2ptqx.htm/, Retrieved Thu, 16 May 2024 15:58:26 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=286418, Retrieved Thu, 16 May 2024 15:58:26 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact66
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Partial Correlation Matrix] [Partial Pearson C...] [2015-12-14 22:41:35] [8d882d7318a4b7284df3ed0f4f96d498] [Current]
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Dataseries X:
17.5 595 127
19.1 602 128
19.7 581 155
19.8 593 145
20.2 589 143
20.6 600 143
21.4 622 144
22.8 633 154
23.2 680 155
23.3 669 154
23.3 663 157
23.3 668 155
23.4 692 157
23.6 697 163
24.1 702 166




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time0 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=286418&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=286418&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=286418&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 Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time0 seconds
R Server'Sir Ronald Aylmer Fisher' @ fisher.wessa.net







Pearson Correlation Matrix
> r0
                         Inkomen uitgaven_buitenland_pp uitgaven_binnenland_pp
Inkomen                1.0000000              0.9042699              0.8769270
uitgaven_buitenland_pp 0.9042699              1.0000000              0.7474614
uitgaven_binnenland_pp 0.8769270              0.7474614              1.0000000

\begin{tabular}{lllllllll}
\hline
Pearson Correlation Matrix \tabularnewline
> r0
                         Inkomen uitgaven_buitenland_pp uitgaven_binnenland_pp
Inkomen                1.0000000              0.9042699              0.8769270
uitgaven_buitenland_pp 0.9042699              1.0000000              0.7474614
uitgaven_binnenland_pp 0.8769270              0.7474614              1.0000000
\tabularnewline \hline \end{tabular} %Source: https://freestatistics.org/blog/index.php?pk=286418&T=1

[TABLE]
[ROW][C]Pearson Correlation Matrix[/C][/ROW]
[ROW][C]
> r0
                         Inkomen uitgaven_buitenland_pp uitgaven_binnenland_pp
Inkomen                1.0000000              0.9042699              0.8769270
uitgaven_buitenland_pp 0.9042699              1.0000000              0.7474614
uitgaven_binnenland_pp 0.8769270              0.7474614              1.0000000
[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=286418&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=286418&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
                         Inkomen uitgaven_buitenland_pp uitgaven_binnenland_pp
Inkomen                1.0000000              0.9042699              0.8769270
uitgaven_buitenland_pp 0.9042699              1.0000000              0.7474614
uitgaven_binnenland_pp 0.8769270              0.7474614              1.0000000







Partial Pearson Correlation Matrix (Shrinkage Method)
> r1
                         Inkomen uitgaven_buitenland_pp uitgaven_binnenland_pp
Inkomen                1.0000000             0.64772009             0.58401871
uitgaven_buitenland_pp 0.6477201             1.00000000             0.04763021
uitgaven_binnenland_pp 0.5840187             0.04763021             1.00000000
attr(,"lambda")
[1] 0.07864452
attr(,"lambda.estimated")
[1] TRUE
attr(,"class")
[1] "shrinkage"
attr(,"spv")
               Inkomen uitgaven_buitenland_pp uitgaven_binnenland_pp 
             0.2015342              0.3051605              0.3464106 

\begin{tabular}{lllllllll}
\hline
Partial Pearson Correlation Matrix (Shrinkage Method) \tabularnewline
> r1
                         Inkomen uitgaven_buitenland_pp uitgaven_binnenland_pp
Inkomen                1.0000000             0.64772009             0.58401871
uitgaven_buitenland_pp 0.6477201             1.00000000             0.04763021
uitgaven_binnenland_pp 0.5840187             0.04763021             1.00000000
attr(,"lambda")
[1] 0.07864452
attr(,"lambda.estimated")
[1] TRUE
attr(,"class")
[1] "shrinkage"
attr(,"spv")
               Inkomen uitgaven_buitenland_pp uitgaven_binnenland_pp 
             0.2015342              0.3051605              0.3464106 
\tabularnewline \hline \end{tabular} %Source: https://freestatistics.org/blog/index.php?pk=286418&T=2

[TABLE]
[ROW][C]Partial Pearson Correlation Matrix (Shrinkage Method)[/C][/ROW]
[ROW][C]
> r1
                         Inkomen uitgaven_buitenland_pp uitgaven_binnenland_pp
Inkomen                1.0000000             0.64772009             0.58401871
uitgaven_buitenland_pp 0.6477201             1.00000000             0.04763021
uitgaven_binnenland_pp 0.5840187             0.04763021             1.00000000
attr(,"lambda")
[1] 0.07864452
attr(,"lambda.estimated")
[1] TRUE
attr(,"class")
[1] "shrinkage"
attr(,"spv")
               Inkomen uitgaven_buitenland_pp uitgaven_binnenland_pp 
             0.2015342              0.3051605              0.3464106 
[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=286418&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=286418&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
                         Inkomen uitgaven_buitenland_pp uitgaven_binnenland_pp
Inkomen                1.0000000             0.64772009             0.58401871
uitgaven_buitenland_pp 0.6477201             1.00000000             0.04763021
uitgaven_binnenland_pp 0.5840187             0.04763021             1.00000000
attr(,"lambda")
[1] 0.07864452
attr(,"lambda.estimated")
[1] TRUE
attr(,"class")
[1] "shrinkage"
attr(,"spv")
               Inkomen uitgaven_buitenland_pp uitgaven_binnenland_pp 
             0.2015342              0.3051605              0.3464106 



Parameters (Session):
par1 = 50 ; par2 = 50 ; par3 = 0 ; par4 = 0 ; par5 = 0 ; par6 = Y ; par7 = Y ; par8 = terrain.colors ;
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')