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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_cross.wasp
Title produced by softwareCross Correlation Function
Date of computationMon, 26 Nov 2007 11:45:08 -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/2007/Nov/26/t11961021284k46vag27ygu9gw.htm/, Retrieved Thu, 02 May 2024 15:49:50 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=6625, Retrieved Thu, 02 May 2024 15:49:50 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact173

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Cross Correlation Function] [Opdracht 4 Questi...] [2007-11-26 18:45:08] [cb172450b25aceeff04d58e88e905157] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
20538.6
20667.5
20554.9
19982.3
19636.6
19587.9
19861.1
20164.6
20146.9
20192.8
20361.8
20639.7
21251.5
21313.1
21300.0
20477.3
20128.3
20079.5
20235.9
20444.8
20319.9
20384.9
20506.7
20796.5
21760.2
21971.6
21652.7
20702.7
20379.9
20240.1
20376.5
20680.4
20532.0
20749.2
20900.7
21141.8
21770.2
21792.6
21670.1
20810.5
20647.0
20312.9
20014.2
20491.2
20302.7
20641.0
20475.6
20703.0
21158.6
20866.8
20595.2
19373.1
18675.4
18737.5
18587.6
18798.3
18429.5
18485.1
18597.5
18615.1
Dataseries Y:
Download CSV
Histogram 
0.0
0.2
0.5
0.4
0.2
0.0
-0.1
0.1
0.3
0.3
-0.1
0.4
-0.2
0.4
0.6
0.1
-0.1
0.1
-0.1
0.2
0.4
0.1
0.1
0.3
-0.2
0.2
0.6
0.4
0.3
0.0
-0.2
0.2
0.2
0.3
-0.1
0.4
-0.6
0.3
0.6
0.4
0.3
0.1
-0.1
0.3
0.5
0.2
-0.2
0.3
-0.5
0.3
0.5
0.7
0.3
0.1
-0.1
0.1
0.0
0.1
0.1
0.4

Tables (Output of Computation)





Summary of compuational 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 compuational 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=6625&T=0

[TABLE]
[ROW][C]Summary of compuational 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=6625&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=6625&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 compuational 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






Cross Correlation Function
ParameterValue
Box-Cox transformation parameter (lambda) of X series1
Degree of non-seasonal differencing (d) of X series1
Degree of seasonal differencing (D) of X series1
Seasonal Period (s)12
Box-Cox transformation parameter (lambda) of Y series1
Degree of non-seasonal differencing (d) of Y series0
Degree of seasonal differencing (D) of Y series1
krho(Y[t],X[t+k])
-13-0.0174811021795801
-120.429219666347363
-11-0.0895317487660337
-100.0310835726436641
-9-0.0955054646812655
-80.0384747804709849
-70.0383384831717456
-60.0871757525934682
-5-0.0432451859443611
-4-0.0949719581099573
-3-0.00192763323209889
-2-0.0294480050527923
-10.0774285485935822
0-0.240194783345177
10.00424858152771701
20.168502403945295
30.00573616919370057
4-0.00917475534308106
5-0.113434400844060
6-0.0513334571020771
70.06992830292687
80.261379277855516
9-0.0856920591360346
10-0.164810694240184
11-0.140561457601235
120.135752110042361
130.108410871814954

\begin{tabular}{lllllllll}
\hline
Cross Correlation Function \tabularnewline
Parameter & Value \tabularnewline
Box-Cox transformation parameter (lambda) of X series & 1 \tabularnewline
Degree of non-seasonal differencing (d) of X series & 1 \tabularnewline
Degree of seasonal differencing (D) of X series & 1 \tabularnewline
Seasonal Period (s) & 12 \tabularnewline
Box-Cox transformation parameter (lambda) of Y series & 1 \tabularnewline
Degree of non-seasonal differencing (d) of Y series & 0 \tabularnewline
Degree of seasonal differencing (D) of Y series & 1 \tabularnewline
k & rho(Y[t],X[t+k]) \tabularnewline
-13 & -0.0174811021795801 \tabularnewline
-12 & 0.429219666347363 \tabularnewline
-11 & -0.0895317487660337 \tabularnewline
-10 & 0.0310835726436641 \tabularnewline
-9 & -0.0955054646812655 \tabularnewline
-8 & 0.0384747804709849 \tabularnewline
-7 & 0.0383384831717456 \tabularnewline
-6 & 0.0871757525934682 \tabularnewline
-5 & -0.0432451859443611 \tabularnewline
-4 & -0.0949719581099573 \tabularnewline
-3 & -0.00192763323209889 \tabularnewline
-2 & -0.0294480050527923 \tabularnewline
-1 & 0.0774285485935822 \tabularnewline
0 & -0.240194783345177 \tabularnewline
1 & 0.00424858152771701 \tabularnewline
2 & 0.168502403945295 \tabularnewline
3 & 0.00573616919370057 \tabularnewline
4 & -0.00917475534308106 \tabularnewline
5 & -0.113434400844060 \tabularnewline
6 & -0.0513334571020771 \tabularnewline
7 & 0.06992830292687 \tabularnewline
8 & 0.261379277855516 \tabularnewline
9 & -0.0856920591360346 \tabularnewline
10 & -0.164810694240184 \tabularnewline
11 & -0.140561457601235 \tabularnewline
12 & 0.135752110042361 \tabularnewline
13 & 0.108410871814954 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=6625&T=1

[TABLE]
[ROW][C]Cross Correlation Function[/C][/ROW]
[ROW][C]Parameter[/C][C]Value[/C][/ROW]
[ROW][C]Box-Cox transformation parameter (lambda) of X series[/C][C]1[/C][/ROW]
[ROW][C]Degree of non-seasonal differencing (d) of X series[/C][C]1[/C][/ROW]
[ROW][C]Degree of seasonal differencing (D) of X series[/C][C]1[/C][/ROW]
[ROW][C]Seasonal Period (s)[/C][C]12[/C][/ROW]
[ROW][C]Box-Cox transformation parameter (lambda) of Y series[/C][C]1[/C][/ROW]
[ROW][C]Degree of non-seasonal differencing (d) of Y series[/C][C]0[/C][/ROW]
[ROW][C]Degree of seasonal differencing (D) of Y series[/C][C]1[/C][/ROW]
[ROW][C]k[/C][C]rho(Y[t],X[t+k])[/C][/ROW]
[ROW][C]-13[/C][C]-0.0174811021795801[/C][/ROW]
[ROW][C]-12[/C][C]0.429219666347363[/C][/ROW]
[ROW][C]-11[/C][C]-0.0895317487660337[/C][/ROW]
[ROW][C]-10[/C][C]0.0310835726436641[/C][/ROW]
[ROW][C]-9[/C][C]-0.0955054646812655[/C][/ROW]
[ROW][C]-8[/C][C]0.0384747804709849[/C][/ROW]
[ROW][C]-7[/C][C]0.0383384831717456[/C][/ROW]
[ROW][C]-6[/C][C]0.0871757525934682[/C][/ROW]
[ROW][C]-5[/C][C]-0.0432451859443611[/C][/ROW]
[ROW][C]-4[/C][C]-0.0949719581099573[/C][/ROW]
[ROW][C]-3[/C][C]-0.00192763323209889[/C][/ROW]
[ROW][C]-2[/C][C]-0.0294480050527923[/C][/ROW]
[ROW][C]-1[/C][C]0.0774285485935822[/C][/ROW]
[ROW][C]0[/C][C]-0.240194783345177[/C][/ROW]
[ROW][C]1[/C][C]0.00424858152771701[/C][/ROW]
[ROW][C]2[/C][C]0.168502403945295[/C][/ROW]
[ROW][C]3[/C][C]0.00573616919370057[/C][/ROW]
[ROW][C]4[/C][C]-0.00917475534308106[/C][/ROW]
[ROW][C]5[/C][C]-0.113434400844060[/C][/ROW]
[ROW][C]6[/C][C]-0.0513334571020771[/C][/ROW]
[ROW][C]7[/C][C]0.06992830292687[/C][/ROW]
[ROW][C]8[/C][C]0.261379277855516[/C][/ROW]
[ROW][C]9[/C][C]-0.0856920591360346[/C][/ROW]
[ROW][C]10[/C][C]-0.164810694240184[/C][/ROW]
[ROW][C]11[/C][C]-0.140561457601235[/C][/ROW]
[ROW][C]12[/C][C]0.135752110042361[/C][/ROW]
[ROW][C]13[/C][C]0.108410871814954[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=6625&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=6625&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:

Cross Correlation Function
ParameterValue
Box-Cox transformation parameter (lambda) of X series1
Degree of non-seasonal differencing (d) of X series1
Degree of seasonal differencing (D) of X series1
Seasonal Period (s)12
Box-Cox transformation parameter (lambda) of Y series1
Degree of non-seasonal differencing (d) of Y series0
Degree of seasonal differencing (D) of Y series1
krho(Y[t],X[t+k])
-13-0.0174811021795801
-120.429219666347363
-11-0.0895317487660337
-100.0310835726436641
-9-0.0955054646812655
-80.0384747804709849
-70.0383384831717456
-60.0871757525934682
-5-0.0432451859443611
-4-0.0949719581099573
-3-0.00192763323209889
-2-0.0294480050527923
-10.0774285485935822
0-0.240194783345177
10.00424858152771701
20.168502403945295
30.00573616919370057
4-0.00917475534308106
5-0.113434400844060
6-0.0513334571020771
70.06992830292687
80.261379277855516
9-0.0856920591360346
10-0.164810694240184
11-0.140561457601235
120.135752110042361
130.108410871814954


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 1 ; par2 = 1 ; par3 = 0 ; par4 = 12 ; par5 = 1 ; par6 = 0 ; par7 = 1 ;
Parameters (R input):
par1 = 1 ; par2 = 1 ; par3 = 1 ; par4 = 12 ; par5 = 1 ; par6 = 0 ; par7 = 1 ;
R code (references can be found in the software module):
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)
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) x <- diff(y,lag=par4,difference=par7)
x
y
bitmap(file='test1.png')
(r <- ccf(x,y,main='Cross Correlation Function',xlab='Lag (k)'))
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Cross Correlation Function',2,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Parameter',header=TRUE)
a<-table.element(a,'Value',header=TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Box-Cox transformation parameter (lambda) of X series',header=TRUE)
a<-table.element(a,par1)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Degree of non-seasonal differencing (d) of X series',header=TRUE)
a<-table.element(a,par2)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Degree of seasonal differencing (D) of X series',header=TRUE)
a<-table.element(a,par3)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Seasonal Period (s)',header=TRUE)
a<-table.element(a,par4)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Box-Cox transformation parameter (lambda) of Y series',header=TRUE)
a<-table.element(a,par5)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Degree of non-seasonal differencing (d) of Y series',header=TRUE)
a<-table.element(a,par6)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Degree of seasonal differencing (D) of Y series',header=TRUE)
a<-table.element(a,par7)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'k',header=TRUE)
a<-table.element(a,'rho(Y[t],X[t+k])',header=TRUE)
a<-table.row.end(a)
mylength <- length(r$acf)
myhalf <- floor((mylength-1)/2)
for (i in 1:mylength) {
a<-table.row.start(a)
a<-table.element(a,i-myhalf-1,header=TRUE)
a<-table.element(a,r$acf[i])
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')