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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

Mon, 11 Jan 2016 06:48:12 +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/2016/Jan/11/t14524949107qyfk25yhnboz4d.htm/, Retrieved Tue, 07 May 2024 23:33:56 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=288256, Retrieved Tue, 07 May 2024 23:33:56 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

104

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

-       [Partial Correlation Matrix] [] [2016-01-11 06:48:12] [458bc02f6d4386c4526d029d1899c9d8] [Current]

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Dataseries X:

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Histogram

Boxplots

46.4 392 0.4 68.5
45.7 118 0.61 87.8
45.3 44 0.53 115.8
38.6 158 0.53 106.8
37.2 81 0.53 71.6
35 374 0.37 60.2
34 187 0.3 118.7
28.3 993 0.19 33.7
24.7 1723 0.12 27.2
24.7 287 0.2 62
24.4 970 0.19 24.9
22.7 885 0.12 22.9
22.3 200 0.53 65.7
21.7 575 0.14 21.6
21.6 688 0.34 32.4
21.3 48 0.69 108.7
21.2 572 0.49 38.6
20.8 239 0.42 46.7
20.3 244 0.48 56.5
18.9 472 0.25 44.4
18.8 134 0.52 47.4
18.6 633 0.19 21.7
18 295 0.44 55.7
17.6 906 0.24 27.1
17 1045 0.16 28.5
16.7 775 0.1 41.6
15.9 619 0.15 44.6
15.3 901 0.05 26.1
15 910 0.24 18.7
14.8 556 0.22 49.1

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	'Gwilym Jenkins' @ jenkins.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 & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=288256&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]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=288256&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=288256&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	'Gwilym Jenkins' @ jenkins.wessa.net

Pearson Correlation Matrix

> r0
                           HIV_Risk Per_Capita_Income Prop_Population_on_Farms
HIV_Risk                  1.0000000        -0.4190898                0.4804208
Per_Capita_Income        -0.4190898         1.0000000               -0.7754682
Prop_Population_on_Farms  0.4804208        -0.7754682                1.0000000
Homicides                 0.6643228        -0.7454675                0.6964200
                          Homicides
HIV_Risk                  0.6643228
Per_Capita_Income        -0.7454675
Prop_Population_on_Farms  0.6964200
Homicides                 1.0000000

\begin{tabular}{lllllllll}
\hline
Pearson Correlation Matrix \tabularnewline
> r0
                           HIV_Risk Per_Capita_Income Prop_Population_on_Farms
HIV_Risk                  1.0000000        -0.4190898                0.4804208
Per_Capita_Income        -0.4190898         1.0000000               -0.7754682
Prop_Population_on_Farms  0.4804208        -0.7754682                1.0000000
Homicides                 0.6643228        -0.7454675                0.6964200
                          Homicides
HIV_Risk                  0.6643228
Per_Capita_Income        -0.7454675
Prop_Population_on_Farms  0.6964200
Homicides                 1.0000000
 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=288256&T=1

[TABLE]
[ROW][C]Pearson Correlation Matrix[/C][/ROW]
[ROW][C]> r0
                           HIV_Risk Per_Capita_Income Prop_Population_on_Farms
HIV_Risk                  1.0000000        -0.4190898                0.4804208
Per_Capita_Income        -0.4190898         1.0000000               -0.7754682
Prop_Population_on_Farms  0.4804208        -0.7754682                1.0000000
Homicides                 0.6643228        -0.7454675                0.6964200
                          Homicides
HIV_Risk                  0.6643228
Per_Capita_Income        -0.7454675
Prop_Population_on_Farms  0.6964200
Homicides                 1.0000000
[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=288256&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=288256&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
                           HIV_Risk Per_Capita_Income Prop_Population_on_Farms
HIV_Risk                  1.0000000        -0.4190898                0.4804208
Per_Capita_Income        -0.4190898         1.0000000               -0.7754682
Prop_Population_on_Farms  0.4804208        -0.7754682                1.0000000
Homicides                 0.6643228        -0.7454675                0.6964200
                          Homicides
HIV_Risk                  0.6643228
Per_Capita_Income        -0.7454675
Prop_Population_on_Farms  0.6964200
Homicides                 1.0000000

Partial Pearson Correlation Matrix (Shrinkage Method)

> r1
                          HIV_Risk Per_Capita_Income Prop_Population_on_Farms
HIV_Risk                 1.0000000         0.1213495                0.1286702
Per_Capita_Income        0.1213495         1.0000000               -0.5025052
Prop_Population_on_Farms 0.1286702        -0.5025052                1.0000000
Homicides                0.4829451        -0.4305100                0.1949416
                          Homicides
HIV_Risk                  0.4829451
Per_Capita_Income        -0.4305100
Prop_Population_on_Farms  0.1949416
Homicides                 1.0000000
attr(,"lambda")
[1] 0.07195742
attr(,"lambda.estimated")
[1] TRUE
attr(,"class")
[1] "shrinkage"
attr(,"spv")
                HIV_Risk        Per_Capita_Income Prop_Population_on_Farms 
               0.6069748                0.3880197                0.4325446 
               Homicides 
               0.3647349

\begin{tabular}{lllllllll}
\hline
Partial Pearson Correlation Matrix (Shrinkage Method) \tabularnewline
> r1
                          HIV_Risk Per_Capita_Income Prop_Population_on_Farms
HIV_Risk                 1.0000000         0.1213495                0.1286702
Per_Capita_Income        0.1213495         1.0000000               -0.5025052
Prop_Population_on_Farms 0.1286702        -0.5025052                1.0000000
Homicides                0.4829451        -0.4305100                0.1949416
                          Homicides
HIV_Risk                  0.4829451
Per_Capita_Income        -0.4305100
Prop_Population_on_Farms  0.1949416
Homicides                 1.0000000
attr(,"lambda")
[1] 0.07195742
attr(,"lambda.estimated")
[1] TRUE
attr(,"class")
[1] "shrinkage"
attr(,"spv")
                HIV_Risk        Per_Capita_Income Prop_Population_on_Farms 
               0.6069748                0.3880197                0.4325446 
               Homicides 
               0.3647349 
 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=288256&T=2

[TABLE]
[ROW][C]Partial Pearson Correlation Matrix (Shrinkage Method)[/C][/ROW]
[ROW][C]> r1
                          HIV_Risk Per_Capita_Income Prop_Population_on_Farms
HIV_Risk                 1.0000000         0.1213495                0.1286702
Per_Capita_Income        0.1213495         1.0000000               -0.5025052
Prop_Population_on_Farms 0.1286702        -0.5025052                1.0000000
Homicides                0.4829451        -0.4305100                0.1949416
                          Homicides
HIV_Risk                  0.4829451
Per_Capita_Income        -0.4305100
Prop_Population_on_Farms  0.1949416
Homicides                 1.0000000
attr(,"lambda")
[1] 0.07195742
attr(,"lambda.estimated")
[1] TRUE
attr(,"class")
[1] "shrinkage"
attr(,"spv")
                HIV_Risk        Per_Capita_Income Prop_Population_on_Farms 
               0.6069748                0.3880197                0.4325446 
               Homicides 
               0.3647349 
[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=288256&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=288256&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
                          HIV_Risk Per_Capita_Income Prop_Population_on_Farms
HIV_Risk                 1.0000000         0.1213495                0.1286702
Per_Capita_Income        0.1213495         1.0000000               -0.5025052
Prop_Population_on_Farms 0.1286702        -0.5025052                1.0000000
Homicides                0.4829451        -0.4305100                0.1949416
                          Homicides
HIV_Risk                  0.4829451
Per_Capita_Income        -0.4305100
Prop_Population_on_Farms  0.1949416
Homicides                 1.0000000
attr(,"lambda")
[1] 0.07195742
attr(,"lambda.estimated")
[1] TRUE
attr(,"class")
[1] "shrinkage"
attr(,"spv")
                HIV_Risk        Per_Capita_Income Prop_Population_on_Farms 
               0.6069748                0.3880197                0.4325446 
               Homicides 
               0.3647349

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')

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Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code