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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_partialcorrelation.wasp
Title produced by softwarePartial Correlation
Date of computationWed, 12 Nov 2008 11:16:00 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Nov/12/t1226513796kpci171snz8wyou.htm/, Retrieved Sun, 19 May 2024 11:15:21 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=24345, Retrieved Sun, 19 May 2024 11:15:21 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsjenske_cole@hotmail.com
Estimated Impact164

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [Partial Correlation] [Various EDA Topic...] [2008-11-12 13:44:23] [8094ad203a218aaca2d1cea2c78c2d6e]
F    D    [Partial Correlation] [opdracht3 blok8 q...] [2008-11-12 18:16:00] [120dfa2440e51a0cfc0f5296bc5d7460] [Current]
Feedback Forum
2008-11-17 08:44:57 [Bert Moons] [reply] 
Bij de afhankelijke variabele word een vaste waarde genomen, waardoor de invloed van die waarde geëlimineerd wordt. De grote verschillen tussen de correlaties met en zonder afhankelijke variabele duiden op een vrij grote invloed van deze 3de variabele.
2008-11-24 13:42:11 [58d427c57bd46519a715a3a7fea6a80f] [reply] 
r(xy,z)de 3e dimensie (z) wordt weggelaten. Het effect van z wordt dus weggewerkt en daarna wordt de correlatie tussen x en y berekend. De invloed van z is 0.37.We kunnen niet zeggen of er nu een sterke/zwakke invloed is.

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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
92.3
95.5
92.5
89.6
84.3
76.3
80.7
96.3
81.0
82.9
90.3
74.8
70.1
86.7
86.4
89.9
88.1
78.8
81.1
85.4
82.6
80.3
81.2
68.0
67.4
91.3
94.9
82.8
88.6
73.1
76.7
93.2
84.9
83.8
93.5
91.9
69.6
87.0
90.2
82.7
91.4
74.6
76.1
87.1
78.4
81.3
99.3
71.0
73.2
95.6
84.0
90.8
93.6
80.9
84.4
97.3
83.5
88.8
100.7
69.4
74.6
96.6
96.6
93.1
91.8
85.7
79.1
91.3
84.2
85.8
94.6
77.1
76.5
Dataseries Y:
Download CSV
Histogram 
95.5
98.7
115.9
110.4
109.5
92.3
102.1
112.8
110.2
98.9
119.0
104.3
98.8
109.4
170.3
118.0
116.9
111.7
116.8
116.1
114.8
110.8
122.8
104.7
86.0
127.2
126.1
114.6
127.8
105.2
113.1
161.0
126.9
117.7
144.9
119.4
107.1
142.8
126.2
126.9
179.2
105.3
114.8
125.4
113.2
134.4
150.0
100.9
101.8
137.7
138.7
135.4
153.8
119.5
123.3
166.4
137.5
142.2
167.0
112.3
120.6
154.9
153.4
156.2
175.8
131.7
130.1
161.1
128.2
140.3
174.9
111.8
136.6
Dataseries Z:
Download CSV
Histogram 
79.3
117.2
116.9
120.8
96.1
100.8
105.3
116.1
112.8
114.5
117.2
77.1
80.1
120.3
133.4
109.4
93.2
91.2
99.2
108.2
101.5
106.9
104.4
77.9
60.0
99.5
95.0
105.6
102.5
93.3
97.3
127.0
111.7
96.4
133.0
72.2
95.8
124.1
127.6
110.7
104.6
112.7
115.3
139.4
119.0
97.4
154.0
81.5
88.8
127.7
105.1
114.9
106.4
104.5
121.6
141.4
99.0
126.7
134.1
81.3
88.6
132.7
132.9
134.4
103.7
119.7
115.0
132.9
108.5
113.9
142.0
97.7
92.2

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\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 & 2 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ 193.190.124.10:1001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=24345&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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ 193.190.124.10:1001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=24345&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=24345&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 time2 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001






Pearson Product Moment Partial Correlation - Ungrouped Data
StatisticValue
Correlation r(xy)0.631982605451482
Partial Correlation r(xy.z)0.373883702265927
Correlation r(xz)0.670625807406195
Partial Correlation r(xz.y)0.460309148091854
Correlation r(yz)0.616880631440107
Partial Correlation r(yz.x)0.335821703099415

\begin{tabular}{lllllllll}
\hline
Pearson Product Moment Partial Correlation - Ungrouped Data \tabularnewline
Statistic & Value \tabularnewline
Correlation r(xy) & 0.631982605451482 \tabularnewline
Partial Correlation r(xy.z) & 0.373883702265927 \tabularnewline
Correlation r(xz) & 0.670625807406195 \tabularnewline
Partial Correlation r(xz.y) & 0.460309148091854 \tabularnewline
Correlation r(yz) & 0.616880631440107 \tabularnewline
Partial Correlation r(yz.x) & 0.335821703099415 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=24345&T=1

[TABLE]
[ROW][C]Pearson Product Moment Partial Correlation - Ungrouped Data[/C][/ROW]
[ROW][C]Statistic[/C][C]Value[/C][/ROW]
[ROW][C]Correlation r(xy)[/C][C]0.631982605451482[/C][/ROW]
[ROW][C]Partial Correlation r(xy.z)[/C][C]0.373883702265927[/C][/ROW]
[ROW][C]Correlation r(xz)[/C][C]0.670625807406195[/C][/ROW]
[ROW][C]Partial Correlation r(xz.y)[/C][C]0.460309148091854[/C][/ROW]
[ROW][C]Correlation r(yz)[/C][C]0.616880631440107[/C][/ROW]
[ROW][C]Partial Correlation r(yz.x)[/C][C]0.335821703099415[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=24345&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=24345&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 Product Moment Partial Correlation - Ungrouped Data
StatisticValue
Correlation r(xy)0.631982605451482
Partial Correlation r(xy.z)0.373883702265927
Correlation r(xz)0.670625807406195
Partial Correlation r(xz.y)0.460309148091854
Correlation r(yz)0.616880631440107
Partial Correlation r(yz.x)0.335821703099415


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
Parameters (R input):
R code (references can be found in the software module):
(rho12 <- cor(x, y))
(rho23 <- cor(y, z))
(rho13 <- cor(x, z))
(rhoxy_z <- (rho12-(rho13*rho23))/(sqrt(1-(rho13*rho13)) * sqrt(1-(rho23*rho23))))
(rhoxz_y <- (rho13-(rho12*rho23))/(sqrt(1-(rho12*rho12)) * sqrt(1-(rho23*rho23))))
(rhoyz_x <- (rho23-(rho12*rho13))/(sqrt(1-(rho12*rho12)) * sqrt(1-(rho13*rho13))))
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Pearson Product Moment Partial Correlation - Ungrouped Data',2,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Statistic',1,TRUE)
a<-table.element(a,'Value',1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Correlation r(xy)',header=TRUE)
a<-table.element(a,rho12)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,hyperlink('partial_correlation1.htm','Partial Correlation r(xy.z)',''),header=TRUE)
a<-table.element(a,rhoxy_z)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Correlation r(xz)',header=TRUE)
a<-table.element(a,rho13)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,hyperlink('partial_correlation1.htm','Partial Correlation r(xz.y)',''),header=TRUE)
a<-table.element(a,rhoxz_y)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Correlation r(yz)',header=TRUE)
a<-table.element(a,rho23)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,hyperlink('partial_correlation1.htm','Partial Correlation r(yz.x)',''),header=TRUE)
a<-table.element(a,rhoyz_x)
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable.tab')