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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationWed, 19 Dec 2007 11:54:54 -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/Dec/19/t11980894374moi1ro8roo9xjo.htm/, Retrieved Tue, 07 May 2024 02:22:49 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=4697, Retrieved Tue, 07 May 2024 02:22:49 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact196
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [] [2007-12-19 18:54:54] [dd38921fafddee0dfc20da83e9650a2a] [Current]
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Dataseries X:
8.1
8.3
8.2
8.1
7.7
7.6
7.7
8.2
8.4
8.4
8.6
8.4
8.5
8.7
8.7
8.6
7.4
7.3
7.4
9
9.2
9.2
8.5
8.3
8.3
8.6
8.6
8.5
8.1
8.1
8
8.6
8.7
8.7
8.6
8.4
8.4
8.7
8.7
8.5
8.3
8.3
8.3
8.1
8.2
8.1
8.1
7.9
7.7
8.1
8
7.7
7.8
7.6
7.4
7.7
7.8
7.5
7.2
7




Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 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 & 3 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=4697&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]3 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=4697&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=4697&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 compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001







Autocorrelation Function
Time lag kACF(k)T-STATP-value
016.85570
10.0154070.10560.458163
2-0.082912-0.56840.713772
3-0.564447-3.86970.999833
4-0.03565-0.24440.596009
50.0098410.06750.473248
60.0998250.68440.248552
7-0.008476-0.05810.523045
80.0511430.35060.36372
90.1522331.04370.150991
100.0360950.24750.402817
11-0.043774-0.30010.617288
12-0.27378-1.87690.96663
13-0.00347-0.02380.50944
140.0521070.35720.36126
150.1911881.31070.098161
16-0.025674-0.1760.56948

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 6.8557 & 0 \tabularnewline
1 & 0.015407 & 0.1056 & 0.458163 \tabularnewline
2 & -0.082912 & -0.5684 & 0.713772 \tabularnewline
3 & -0.564447 & -3.8697 & 0.999833 \tabularnewline
4 & -0.03565 & -0.2444 & 0.596009 \tabularnewline
5 & 0.009841 & 0.0675 & 0.473248 \tabularnewline
6 & 0.099825 & 0.6844 & 0.248552 \tabularnewline
7 & -0.008476 & -0.0581 & 0.523045 \tabularnewline
8 & 0.051143 & 0.3506 & 0.36372 \tabularnewline
9 & 0.152233 & 1.0437 & 0.150991 \tabularnewline
10 & 0.036095 & 0.2475 & 0.402817 \tabularnewline
11 & -0.043774 & -0.3001 & 0.617288 \tabularnewline
12 & -0.27378 & -1.8769 & 0.96663 \tabularnewline
13 & -0.00347 & -0.0238 & 0.50944 \tabularnewline
14 & 0.052107 & 0.3572 & 0.36126 \tabularnewline
15 & 0.191188 & 1.3107 & 0.098161 \tabularnewline
16 & -0.025674 & -0.176 & 0.56948 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=4697&T=1

[TABLE]
[ROW][C]Autocorrelation Function[/C][/ROW]
[ROW][C]Time lag k[/C][C]ACF(k)[/C][C]T-STAT[/C][C]P-value[/C][/ROW]
[ROW][C]0[/C][C]1[/C][C]6.8557[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]0.015407[/C][C]0.1056[/C][C]0.458163[/C][/ROW]
[ROW][C]2[/C][C]-0.082912[/C][C]-0.5684[/C][C]0.713772[/C][/ROW]
[ROW][C]3[/C][C]-0.564447[/C][C]-3.8697[/C][C]0.999833[/C][/ROW]
[ROW][C]4[/C][C]-0.03565[/C][C]-0.2444[/C][C]0.596009[/C][/ROW]
[ROW][C]5[/C][C]0.009841[/C][C]0.0675[/C][C]0.473248[/C][/ROW]
[ROW][C]6[/C][C]0.099825[/C][C]0.6844[/C][C]0.248552[/C][/ROW]
[ROW][C]7[/C][C]-0.008476[/C][C]-0.0581[/C][C]0.523045[/C][/ROW]
[ROW][C]8[/C][C]0.051143[/C][C]0.3506[/C][C]0.36372[/C][/ROW]
[ROW][C]9[/C][C]0.152233[/C][C]1.0437[/C][C]0.150991[/C][/ROW]
[ROW][C]10[/C][C]0.036095[/C][C]0.2475[/C][C]0.402817[/C][/ROW]
[ROW][C]11[/C][C]-0.043774[/C][C]-0.3001[/C][C]0.617288[/C][/ROW]
[ROW][C]12[/C][C]-0.27378[/C][C]-1.8769[/C][C]0.96663[/C][/ROW]
[ROW][C]13[/C][C]-0.00347[/C][C]-0.0238[/C][C]0.50944[/C][/ROW]
[ROW][C]14[/C][C]0.052107[/C][C]0.3572[/C][C]0.36126[/C][/ROW]
[ROW][C]15[/C][C]0.191188[/C][C]1.3107[/C][C]0.098161[/C][/ROW]
[ROW][C]16[/C][C]-0.025674[/C][C]-0.176[/C][C]0.56948[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=4697&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=4697&T=1

As an alternative you can also use a QR Code:  

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

Autocorrelation Function
Time lag kACF(k)T-STATP-value
016.85570
10.0154070.10560.458163
2-0.082912-0.56840.713772
3-0.564447-3.86970.999833
4-0.03565-0.24440.596009
50.0098410.06750.473248
60.0998250.68440.248552
7-0.008476-0.05810.523045
80.0511430.35060.36372
90.1522331.04370.150991
100.0360950.24750.402817
11-0.043774-0.30010.617288
12-0.27378-1.87690.96663
13-0.00347-0.02380.50944
140.0521070.35720.36126
150.1911881.31070.098161
16-0.025674-0.1760.56948







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
00.0154070.10560.458163
1-0.08317-0.57020.714365
2-0.56583-3.87910.999837
3-0.074355-0.50980.693694
4-0.124257-0.85190.800694
5-0.356978-2.44730.990908
6-0.184751-1.26660.894228
7-0.118153-0.810.788993
8-0.012395-0.0850.53368
9-0.061972-0.42490.66356
10-0.015469-0.10610.542004
11-0.200696-1.37590.912314
12-0.026015-0.17840.570393
13-0.003618-0.02480.509841
14-0.074164-0.50840.69324
15-0.052265-0.35830.639142
160.0247830.16990.432908

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & 0.015407 & 0.1056 & 0.458163 \tabularnewline
1 & -0.08317 & -0.5702 & 0.714365 \tabularnewline
2 & -0.56583 & -3.8791 & 0.999837 \tabularnewline
3 & -0.074355 & -0.5098 & 0.693694 \tabularnewline
4 & -0.124257 & -0.8519 & 0.800694 \tabularnewline
5 & -0.356978 & -2.4473 & 0.990908 \tabularnewline
6 & -0.184751 & -1.2666 & 0.894228 \tabularnewline
7 & -0.118153 & -0.81 & 0.788993 \tabularnewline
8 & -0.012395 & -0.085 & 0.53368 \tabularnewline
9 & -0.061972 & -0.4249 & 0.66356 \tabularnewline
10 & -0.015469 & -0.1061 & 0.542004 \tabularnewline
11 & -0.200696 & -1.3759 & 0.912314 \tabularnewline
12 & -0.026015 & -0.1784 & 0.570393 \tabularnewline
13 & -0.003618 & -0.0248 & 0.509841 \tabularnewline
14 & -0.074164 & -0.5084 & 0.69324 \tabularnewline
15 & -0.052265 & -0.3583 & 0.639142 \tabularnewline
16 & 0.024783 & 0.1699 & 0.432908 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=4697&T=2

[TABLE]
[ROW][C]Partial Autocorrelation Function[/C][/ROW]
[ROW][C]Time lag k[/C][C]PACF(k)[/C][C]T-STAT[/C][C]P-value[/C][/ROW]
[ROW][C]0[/C][C]0.015407[/C][C]0.1056[/C][C]0.458163[/C][/ROW]
[ROW][C]1[/C][C]-0.08317[/C][C]-0.5702[/C][C]0.714365[/C][/ROW]
[ROW][C]2[/C][C]-0.56583[/C][C]-3.8791[/C][C]0.999837[/C][/ROW]
[ROW][C]3[/C][C]-0.074355[/C][C]-0.5098[/C][C]0.693694[/C][/ROW]
[ROW][C]4[/C][C]-0.124257[/C][C]-0.8519[/C][C]0.800694[/C][/ROW]
[ROW][C]5[/C][C]-0.356978[/C][C]-2.4473[/C][C]0.990908[/C][/ROW]
[ROW][C]6[/C][C]-0.184751[/C][C]-1.2666[/C][C]0.894228[/C][/ROW]
[ROW][C]7[/C][C]-0.118153[/C][C]-0.81[/C][C]0.788993[/C][/ROW]
[ROW][C]8[/C][C]-0.012395[/C][C]-0.085[/C][C]0.53368[/C][/ROW]
[ROW][C]9[/C][C]-0.061972[/C][C]-0.4249[/C][C]0.66356[/C][/ROW]
[ROW][C]10[/C][C]-0.015469[/C][C]-0.1061[/C][C]0.542004[/C][/ROW]
[ROW][C]11[/C][C]-0.200696[/C][C]-1.3759[/C][C]0.912314[/C][/ROW]
[ROW][C]12[/C][C]-0.026015[/C][C]-0.1784[/C][C]0.570393[/C][/ROW]
[ROW][C]13[/C][C]-0.003618[/C][C]-0.0248[/C][C]0.509841[/C][/ROW]
[ROW][C]14[/C][C]-0.074164[/C][C]-0.5084[/C][C]0.69324[/C][/ROW]
[ROW][C]15[/C][C]-0.052265[/C][C]-0.3583[/C][C]0.639142[/C][/ROW]
[ROW][C]16[/C][C]0.024783[/C][C]0.1699[/C][C]0.432908[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=4697&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=4697&T=2

As an alternative you can also use a QR Code:  

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

Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
00.0154070.10560.458163
1-0.08317-0.57020.714365
2-0.56583-3.87910.999837
3-0.074355-0.50980.693694
4-0.124257-0.85190.800694
5-0.356978-2.44730.990908
6-0.184751-1.26660.894228
7-0.118153-0.810.788993
8-0.012395-0.0850.53368
9-0.061972-0.42490.66356
10-0.015469-0.10610.542004
11-0.200696-1.37590.912314
12-0.026015-0.17840.570393
13-0.003618-0.02480.509841
14-0.074164-0.50840.69324
15-0.052265-0.35830.639142
160.0247830.16990.432908



Parameters (Session):
par1 = Default ; par2 = 1 ; par3 = 1 ; par4 = 1 ; par5 = 12 ;
Parameters (R input):
par1 = Default ; par2 = 1 ; par3 = 1 ; par4 = 1 ; par5 = 12 ;
R code (references can be found in the software module):
if (par1 == 'Default') {
par1 = 10*log10(length(x))
} else {
par1 <- as.numeric(par1)
}
par2 <- as.numeric(par2)
par3 <- as.numeric(par3)
par4 <- as.numeric(par4)
par5 <- as.numeric(par5)
if (par2 == 0) {
x <- log(x)
} else {
x <- (x ^ par2 - 1) / par2
}
if (par3 > 0) x <- diff(x,lag=1,difference=par3)
if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
bitmap(file='pic1.png')
racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF')
dev.off()
bitmap(file='pic2.png')
rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
dev.off()
(myacf <- c(racf$acf))
(mypacf <- c(rpacf$acf))
lengthx <- length(x)
sqrtn <- sqrt(lengthx)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Autocorrelation Function',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Time lag k',header=TRUE)
a<-table.element(a,hyperlink('basics.htm','ACF(k)','click here for more information about the Autocorrelation Function'),header=TRUE)
a<-table.element(a,'T-STAT',header=TRUE)
a<-table.element(a,'P-value',header=TRUE)
a<-table.row.end(a)
for (i in 1:par1) {
a<-table.row.start(a)
a<-table.element(a,i-1,header=TRUE)
a<-table.element(a,round(myacf[i],6))
mytstat <- myacf[i]*sqrtn
a<-table.element(a,round(mytstat,4))
a<-table.element(a,round(1-pt(mytstat,lengthx),6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Partial Autocorrelation Function',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Time lag k',header=TRUE)
a<-table.element(a,hyperlink('basics.htm','PACF(k)','click here for more information about the Partial Autocorrelation Function'),header=TRUE)
a<-table.element(a,'T-STAT',header=TRUE)
a<-table.element(a,'P-value',header=TRUE)
a<-table.row.end(a)
for (i in 1:par1) {
a<-table.row.start(a)
a<-table.element(a,i-1,header=TRUE)
a<-table.element(a,round(mypacf[i],6))
mytstat <- mypacf[i]*sqrtn
a<-table.element(a,round(mytstat,4))
a<-table.element(a,round(1-pt(mytstat,lengthx),6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')