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Author's title

Author

*The author of this computation has been verified*

R Software Module

rwasp_partialcorrelationmatrix.wasp

Title produced by software

Partial Correlation Matrix

Date of computation

Tue, 01 Dec 2015 13:03:37 +0000

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/2015/Dec/01/t1448975029t6lw3jsf3j8mys1.htm/, Retrieved Thu, 16 May 2024 21:16:15 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=284712, Retrieved Thu, 16 May 2024 21:16:15 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)

-     [Multiple Regression] [] [2015-11-25 14:21:14] [32b17a345b130fdf5cc88718ed94a974]
- R PD  [Multiple Regression] [MLR X4] [2015-11-29 22:22:42] [f59657f1a0fa4fc4e0fb7285a3a88ff5]
- RMPD      [Partial Correlation Matrix] [Partial Correlati...] [2015-12-01 13:03:37] [83aba8bbc702c7812e095afce40a5d1d] [Current]

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Dataseries X:

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Histogram

Boxplots

6.8 225 0.672
6.3 180 0.797
6.4 190 0.761
6.2 180 0.651
6.9 205 0.9
6.4 225 0.78
6.3 185 0.771
6.8 235 0.75
6.9 235 0.818
6.7 210 0.825
6.9 245 0.632
6.9 245 0.757
6.3 185 0.709
6.1 185 0.782
6.2 180 0.775
6.8 220 0.88
6.5 194 0.833
7.6 225 0.571
6.3 210 0.816
7.1 240 0.714
6.8 225 0.765
7.3 263 0.655
6.4 210 0.244
6.8 235 0.728
7.2 230 0.721
6.4 190 0.757
6.6 220 0.747
6.8 210 0.739
6.1 180 0.713
6.5 235 0.742
6.4 185 0.861
6 175 0.721
6 192 0.785
7.3 263 0.655
6.1 180 0.821
6.7 240 0.728
6.4 210 0.846
5.8 160 0.813
6.9 230 0.595
7 245 0.573
7.3 228 0.726
5.9 155 0.707
6.2 200 0.804
6.8 235 0.784
7 235 0.744
5.9 105 0.839
6.1 180 0.79
5.7 185 0.701
7.1 245 0.778
5.8 180 0.872
7.4 240 0.713
6.8 225 0.701
6.8 215 0.734
7 230 0.764

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	0 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=284712&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=284712&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=284712&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	0 seconds
R Server	'Sir Ronald Aylmer Fisher' @ fisher.wessa.net

Pearson Correlation Matrix
> r0 X1 X2 X4 X1 1.0000000 0.8343240 -0.2592712 X2 0.8343240 1.0000000 -0.2901585 X4 -0.2592712 -0.2901585 1.0000000

\begin{tabular}{lllllllll}
\hline
Pearson Correlation Matrix \tabularnewline
> r0
           X1         X2         X4
X1  1.0000000  0.8343240 -0.2592712
X2  0.8343240  1.0000000 -0.2901585
X4 -0.2592712 -0.2901585  1.0000000
 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=284712&T=1

[TABLE]
[ROW][C]Pearson Correlation Matrix[/C][/ROW]
[ROW][C]> r0
           X1         X2         X4
X1  1.0000000  0.8343240 -0.2592712
X2  0.8343240  1.0000000 -0.2901585
X4 -0.2592712 -0.2901585  1.0000000
[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=284712&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=284712&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 X1 X2 X4 X1 1.0000000 0.8343240 -0.2592712 X2 0.8343240 1.0000000 -0.2901585 X4 -0.2592712 -0.2901585 1.0000000

Partial Pearson Correlation Matrix (Shrinkage Method)

> r1
            X1         X2          X4
X1  1.00000000  0.7787065 -0.04723176
X2  0.77870650  1.0000000 -0.13614010
X4 -0.04723176 -0.1361401  1.00000000
attr(,"lambda")
[1] 0.0490496
attr(,"lambda.estimated")
[1] TRUE
attr(,"class")
[1] "shrinkage"
attr(,"spv")
       X1        X2        X4 
0.3696887 0.3636481 0.9218037

\begin{tabular}{lllllllll}
\hline
Partial Pearson Correlation Matrix (Shrinkage Method) \tabularnewline
> r1
            X1         X2          X4
X1  1.00000000  0.7787065 -0.04723176
X2  0.77870650  1.0000000 -0.13614010
X4 -0.04723176 -0.1361401  1.00000000
attr(,"lambda")
[1] 0.0490496
attr(,"lambda.estimated")
[1] TRUE
attr(,"class")
[1] "shrinkage"
attr(,"spv")
       X1        X2        X4 
0.3696887 0.3636481 0.9218037 
 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=284712&T=2

[TABLE]
[ROW][C]Partial Pearson Correlation Matrix (Shrinkage Method)[/C][/ROW]
[ROW][C]> r1
            X1         X2          X4
X1  1.00000000  0.7787065 -0.04723176
X2  0.77870650  1.0000000 -0.13614010
X4 -0.04723176 -0.1361401  1.00000000
attr(,"lambda")
[1] 0.0490496
attr(,"lambda.estimated")
[1] TRUE
attr(,"class")
[1] "shrinkage"
attr(,"spv")
       X1        X2        X4 
0.3696887 0.3636481 0.9218037 
[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=284712&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=284712&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
            X1         X2          X4
X1  1.00000000  0.7787065 -0.04723176
X2  0.77870650  1.0000000 -0.13614010
X4 -0.04723176 -0.1361401  1.00000000
attr(,"lambda")
[1] 0.0490496
attr(,"lambda.estimated")
[1] TRUE
attr(,"class")
[1] "shrinkage"
attr(,"spv")
       X1        X2        X4 
0.3696887 0.3636481 0.9218037

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