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Author's title

Author

*The author of this computation has been verified*

R Software Module

rwasp_grangercausality.wasp

Title produced by software

Bivariate Granger Causality

Date of computation

Wed, 16 Dec 2009 14:22:44 -0700

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/2009/Dec/16/t12609988091f67pfjdvfgnprh.htm/, Retrieved Tue, 30 Apr 2024 15:07:44 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=68610, Retrieved Tue, 30 Apr 2024 15:07:44 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

ShwWs10 aanvulling

Estimated Impact

131

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

-     [Bivariate Granger Causality] [] [2009-12-07 08:54:13] [b98453cac15ba1066b407e146608df68]
- R PD  [Bivariate Granger Causality] [] [2009-12-09 15:50:46] [4f76e114ed5e444b1133aad392380aad]
-   PD    [Bivariate Granger Causality] [Workshop 10] [2009-12-12 13:34:49] [78762f311bef5a0e45c439762ada383c]
-   P         [Bivariate Granger Causality] [Ws10 aanvulling] [2009-12-16 21:22:44] [51108381f3361ca8af49c4f74052c840] [Current]

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Dataseries X:

Download CSV

Histogram

Boxplots

2.86
2.55
2.28
2.26
2.57
3.08
2.76
2.51
2.87
3.14
3.12
3.16
2.48
2.57
2.88
2.63
2.38
1.69
1.96
2.19
1.87
1.6
1.63
1.22
1.21
1.49
1.64
1.66
1.77
1.82
1.78
1.28
1.29
1.37
1.12
1.51
2.24
2.94
3.09
3.46
3.64
4.39
4.15
5.21
5.8
5.91
5.39
5.46
4.72
3.14
2.63
2.32
1.93
0.62
0.6
-0.37
-1.1
-1.68
-0.78
-1.19

Dataseries Y:

Download CSV

Histogram

9
8.6
8.8
8.5
8.3
8.2
8
7.9
8
9.3
9.6
9
8.7
8.3
8.4
7.8
7.8
7.6
7.7
7.6
7.6
8.6
8.6
8.2
7.5
7.1
7
6.9
6.6
6.3
6.1
5.9
6
7.2
7.2
6.4
6.1
5.9
6.1
5.9
5.8
5.7
5.6
5.3
5.5
6.5
6.5
6.1
5.9
5.8
6.2
6.5
6.6
6.7
6.6
6.5
6.8
7.8
7.9
7.4

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	2 seconds
R Server	'Gwilym Jenkins' @ 72.249.127.135

\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 & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=68610&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=68610&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=68610&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	2 seconds
R Server	'Gwilym Jenkins' @ 72.249.127.135

Granger Causality Test: Y = f(X)
Model	Res.DF	Diff. DF	F	p-value
Complete model	29
Reduced model	39	-10	0.713816573984522	0.704635423934392

\begin{tabular}{lllllllll}
\hline
Granger Causality Test: Y = f(X) \tabularnewline
Model & Res.DF & Diff. DF & F & p-value \tabularnewline
Complete model & 29 &  &  &  \tabularnewline
Reduced model & 39 & -10 & 0.713816573984522 & 0.704635423934392 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=68610&T=1

[TABLE]
[ROW][C]Granger Causality Test: Y = f(X)[/C][/ROW]
[ROW][C]Model[/C][C]Res.DF[/C][C]Diff. DF[/C][C]F[/C][C]p-value[/C][/ROW]
[ROW][C]Complete model[/C][C]29[/C][C][/C][C][/C][C][/C][/ROW]
[ROW][C]Reduced model[/C][C]39[/C][C]-10[/C][C]0.713816573984522[/C][C]0.704635423934392[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=68610&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=68610&T=1

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

Granger Causality Test: Y = f(X)
Model	Res.DF	Diff. DF	F	p-value
Complete model	29
Reduced model	39	-10	0.713816573984522	0.704635423934392

Granger Causality Test: X = f(Y)
Model	Res.DF	Diff. DF	F	p-value
Complete model	29
Reduced model	39	-10	0.220781248120034	0.992115849442938

\begin{tabular}{lllllllll}
\hline
Granger Causality Test: X = f(Y) \tabularnewline
Model & Res.DF & Diff. DF & F & p-value \tabularnewline
Complete model & 29 &  &  &  \tabularnewline
Reduced model & 39 & -10 & 0.220781248120034 & 0.992115849442938 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=68610&T=2

[TABLE]
[ROW][C]Granger Causality Test: X = f(Y)[/C][/ROW]
[ROW][C]Model[/C][C]Res.DF[/C][C]Diff. DF[/C][C]F[/C][C]p-value[/C][/ROW]
[ROW][C]Complete model[/C][C]29[/C][C][/C][C][/C][C][/C][/ROW]
[ROW][C]Reduced model[/C][C]39[/C][C]-10[/C][C]0.220781248120034[/C][C]0.992115849442938[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=68610&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=68610&T=2

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

Granger Causality Test: X = f(Y)
Model	Res.DF	Diff. DF	F	p-value
Complete model	29
Reduced model	39	-10	0.220781248120034	0.992115849442938

Figure 1

PNG link

Postscript link

PDF link

Figure 2

PNG link

Postscript link

PDF link

Figure 3

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = 1 ; par2 = 0 ; par3 = 0 ; par4 = 12 ; par5 = 1 ; par6 = 0 ; par7 = 0 ; par8 = 10 ;

Parameters (R input):

par1 = 1 ; par2 = 0 ; par3 = 0 ; par4 = 12 ; par5 = 1 ; par6 = 0 ; par7 = 0 ; par8 = 10 ;

R code (references can be found in the software module):

library(lmtest)
par1 <- as.numeric(par1)
par2 <- as.numeric(par2)
par3 <- as.numeric(par3)
par4 <- as.numeric(par4)
par5 <- as.numeric(par5)
par6 <- as.numeric(par6)
par7 <- as.numeric(par7)
par8 <- as.numeric(par8)
ox <- x
oy <- y
if (par1 == 0) {
x <- log(x)
} else {
x <- (x ^ par1 - 1) / par1
}
if (par5 == 0) {
y <- log(y)
} else {
y <- (y ^ par5 - 1) / par5
}
if (par2 > 0) x <- diff(x,lag=1,difference=par2)
if (par6 > 0) y <- diff(y,lag=1,difference=par6)
if (par3 > 0) x <- diff(x,lag=par4,difference=par3)
if (par7 > 0) y <- diff(y,lag=par4,difference=par7)
x
y
(gyx <- grangertest(y ~ x, order=par8))
(gxy <- grangertest(x ~ y, order=par8))
bitmap(file='test1.png')
op <- par(mfrow=c(2,1))
(r <- ccf(ox,oy,main='Cross Correlation Function (raw data)',ylab='CCF',xlab='Lag (k)'))
(r <- ccf(x,y,main='Cross Correlation Function (transformed and differenced)',ylab='CCF',xlab='Lag (k)'))
par(op)
dev.off()
bitmap(file='test2.png')
op <- par(mfrow=c(2,1))
acf(ox,lag.max=round(length(x)/2),main='ACF of x (raw)')
acf(x,lag.max=round(length(x)/2),main='ACF of x (transformed and differenced)')
par(op)
dev.off()
bitmap(file='test3.png')
op <- par(mfrow=c(2,1))
acf(oy,lag.max=round(length(y)/2),main='ACF of y (raw)')
acf(y,lag.max=round(length(y)/2),main='ACF of y (transformed and differenced)')
par(op)
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Granger Causality Test: Y = f(X)',5,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Model',header=TRUE)
a<-table.element(a,'Res.DF',header=TRUE)
a<-table.element(a,'Diff. DF',header=TRUE)
a<-table.element(a,'F',header=TRUE)
a<-table.element(a,'p-value',header=TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Complete model',header=TRUE)
a<-table.element(a,gyx$Res.Df[1])
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Reduced model',header=TRUE)
a<-table.element(a,gyx$Res.Df[2])
a<-table.element(a,gyx$Df[2])
a<-table.element(a,gyx$F[2])
a<-table.element(a,gyx$Pr[2])
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable1.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Granger Causality Test: X = f(Y)',5,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Model',header=TRUE)
a<-table.element(a,'Res.DF',header=TRUE)
a<-table.element(a,'Diff. DF',header=TRUE)
a<-table.element(a,'F',header=TRUE)
a<-table.element(a,'p-value',header=TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Complete model',header=TRUE)
a<-table.element(a,gxy$Res.Df[1])
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.element(a,'')
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Reduced model',header=TRUE)
a<-table.element(a,gxy$Res.Df[2])
a<-table.element(a,gxy$Df[2])
a<-table.element(a,gxy$F[2])
a<-table.element(a,gxy$Pr[2])
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable2.tab')

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code