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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationThu, 06 Dec 2007 07:19:23 -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/06/t1196950046q5f1e11150sksft.htm/, Retrieved Fri, 03 May 2024 14:41:13 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=2618, Retrieved Fri, 03 May 2024 14:41:13 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact215
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [WS4: Q2 werkloosheid] [2007-12-06 14:19:23] [9b75aacdafaeee3fe66fbd4de075ccd6] [Current]
-   PD    [(Partial) Autocorrelation Function] [Autocorrelation VSA] [2008-12-14 17:43:20] [74be16979710d4c4e7c6647856088456]
-   PD    [(Partial) Autocorrelation Function] [Autocorrelation J...] [2008-12-14 17:49:08] [74be16979710d4c4e7c6647856088456]
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Dataseries X:
519
509
512
519
517
510
509
501
507
569
580
578
565
547
555
562
561
555
544
537
543
594
611
613
611
594
595
591
589
584
573
567
569
621
629
628
612
595
597
593
590
580
574
573
573
620
626
620
588
566
557
561
549
532
526
511
499
555
565
542




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=2618&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=2618&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=2618&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
017.7460
10.8502616.58610
20.6378624.94093e-06
30.4690573.63330.000291
40.3554172.7530.0039
50.3119112.4160.009375
60.2633752.04010.022875
70.1749921.35550.090172
80.07210.55850.289296
90.0497050.3850.350794
100.1375551.06550.145461
110.260742.01970.023944
120.336192.60410.005797
130.2344031.81570.037209
140.0736570.57050.28522
15-0.054099-0.41910.661662
16-0.131279-1.01690.843355

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 7.746 & 0 \tabularnewline
1 & 0.850261 & 6.5861 & 0 \tabularnewline
2 & 0.637862 & 4.9409 & 3e-06 \tabularnewline
3 & 0.469057 & 3.6333 & 0.000291 \tabularnewline
4 & 0.355417 & 2.753 & 0.0039 \tabularnewline
5 & 0.311911 & 2.416 & 0.009375 \tabularnewline
6 & 0.263375 & 2.0401 & 0.022875 \tabularnewline
7 & 0.174992 & 1.3555 & 0.090172 \tabularnewline
8 & 0.0721 & 0.5585 & 0.289296 \tabularnewline
9 & 0.049705 & 0.385 & 0.350794 \tabularnewline
10 & 0.137555 & 1.0655 & 0.145461 \tabularnewline
11 & 0.26074 & 2.0197 & 0.023944 \tabularnewline
12 & 0.33619 & 2.6041 & 0.005797 \tabularnewline
13 & 0.234403 & 1.8157 & 0.037209 \tabularnewline
14 & 0.073657 & 0.5705 & 0.28522 \tabularnewline
15 & -0.054099 & -0.4191 & 0.661662 \tabularnewline
16 & -0.131279 & -1.0169 & 0.843355 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=2618&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]7.746[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]0.850261[/C][C]6.5861[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.637862[/C][C]4.9409[/C][C]3e-06[/C][/ROW]
[ROW][C]3[/C][C]0.469057[/C][C]3.6333[/C][C]0.000291[/C][/ROW]
[ROW][C]4[/C][C]0.355417[/C][C]2.753[/C][C]0.0039[/C][/ROW]
[ROW][C]5[/C][C]0.311911[/C][C]2.416[/C][C]0.009375[/C][/ROW]
[ROW][C]6[/C][C]0.263375[/C][C]2.0401[/C][C]0.022875[/C][/ROW]
[ROW][C]7[/C][C]0.174992[/C][C]1.3555[/C][C]0.090172[/C][/ROW]
[ROW][C]8[/C][C]0.0721[/C][C]0.5585[/C][C]0.289296[/C][/ROW]
[ROW][C]9[/C][C]0.049705[/C][C]0.385[/C][C]0.350794[/C][/ROW]
[ROW][C]10[/C][C]0.137555[/C][C]1.0655[/C][C]0.145461[/C][/ROW]
[ROW][C]11[/C][C]0.26074[/C][C]2.0197[/C][C]0.023944[/C][/ROW]
[ROW][C]12[/C][C]0.33619[/C][C]2.6041[/C][C]0.005797[/C][/ROW]
[ROW][C]13[/C][C]0.234403[/C][C]1.8157[/C][C]0.037209[/C][/ROW]
[ROW][C]14[/C][C]0.073657[/C][C]0.5705[/C][C]0.28522[/C][/ROW]
[ROW][C]15[/C][C]-0.054099[/C][C]-0.4191[/C][C]0.661662[/C][/ROW]
[ROW][C]16[/C][C]-0.131279[/C][C]-1.0169[/C][C]0.843355[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=2618&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=2618&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
017.7460
10.8502616.58610
20.6378624.94093e-06
30.4690573.63330.000291
40.3554172.7530.0039
50.3119112.4160.009375
60.2633752.04010.022875
70.1749921.35550.090172
80.07210.55850.289296
90.0497050.3850.350794
100.1375551.06550.145461
110.260742.01970.023944
120.336192.60410.005797
130.2344031.81570.037209
140.0736570.57050.28522
15-0.054099-0.41910.661662
16-0.131279-1.01690.843355







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
00.8502616.58610
1-0.307091-2.37870.989714
20.0847430.65640.257034
30.0233540.18090.428529
40.1414541.09570.138794
5-0.137474-1.06490.854399
6-0.10849-0.84040.797979
7-0.0557-0.43150.666157
80.2672722.07030.021369
90.2451861.89920.031174
100.0762780.59090.27842
11-0.070086-0.54290.705389
12-0.521642-4.04060.999923
13-0.003709-0.02870.511412
14-0.057119-0.44240.670119
150.0252750.19580.422723
16-0.060081-0.46540.678331

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & 0.850261 & 6.5861 & 0 \tabularnewline
1 & -0.307091 & -2.3787 & 0.989714 \tabularnewline
2 & 0.084743 & 0.6564 & 0.257034 \tabularnewline
3 & 0.023354 & 0.1809 & 0.428529 \tabularnewline
4 & 0.141454 & 1.0957 & 0.138794 \tabularnewline
5 & -0.137474 & -1.0649 & 0.854399 \tabularnewline
6 & -0.10849 & -0.8404 & 0.797979 \tabularnewline
7 & -0.0557 & -0.4315 & 0.666157 \tabularnewline
8 & 0.267272 & 2.0703 & 0.021369 \tabularnewline
9 & 0.245186 & 1.8992 & 0.031174 \tabularnewline
10 & 0.076278 & 0.5909 & 0.27842 \tabularnewline
11 & -0.070086 & -0.5429 & 0.705389 \tabularnewline
12 & -0.521642 & -4.0406 & 0.999923 \tabularnewline
13 & -0.003709 & -0.0287 & 0.511412 \tabularnewline
14 & -0.057119 & -0.4424 & 0.670119 \tabularnewline
15 & 0.025275 & 0.1958 & 0.422723 \tabularnewline
16 & -0.060081 & -0.4654 & 0.678331 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=2618&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]0.850261[/C][C]6.5861[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]-0.307091[/C][C]-2.3787[/C][C]0.989714[/C][/ROW]
[ROW][C]2[/C][C]0.084743[/C][C]0.6564[/C][C]0.257034[/C][/ROW]
[ROW][C]3[/C][C]0.023354[/C][C]0.1809[/C][C]0.428529[/C][/ROW]
[ROW][C]4[/C][C]0.141454[/C][C]1.0957[/C][C]0.138794[/C][/ROW]
[ROW][C]5[/C][C]-0.137474[/C][C]-1.0649[/C][C]0.854399[/C][/ROW]
[ROW][C]6[/C][C]-0.10849[/C][C]-0.8404[/C][C]0.797979[/C][/ROW]
[ROW][C]7[/C][C]-0.0557[/C][C]-0.4315[/C][C]0.666157[/C][/ROW]
[ROW][C]8[/C][C]0.267272[/C][C]2.0703[/C][C]0.021369[/C][/ROW]
[ROW][C]9[/C][C]0.245186[/C][C]1.8992[/C][C]0.031174[/C][/ROW]
[ROW][C]10[/C][C]0.076278[/C][C]0.5909[/C][C]0.27842[/C][/ROW]
[ROW][C]11[/C][C]-0.070086[/C][C]-0.5429[/C][C]0.705389[/C][/ROW]
[ROW][C]12[/C][C]-0.521642[/C][C]-4.0406[/C][C]0.999923[/C][/ROW]
[ROW][C]13[/C][C]-0.003709[/C][C]-0.0287[/C][C]0.511412[/C][/ROW]
[ROW][C]14[/C][C]-0.057119[/C][C]-0.4424[/C][C]0.670119[/C][/ROW]
[ROW][C]15[/C][C]0.025275[/C][C]0.1958[/C][C]0.422723[/C][/ROW]
[ROW][C]16[/C][C]-0.060081[/C][C]-0.4654[/C][C]0.678331[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=2618&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=2618&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
00.8502616.58610
1-0.307091-2.37870.989714
20.0847430.65640.257034
30.0233540.18090.428529
40.1414541.09570.138794
5-0.137474-1.06490.854399
6-0.10849-0.84040.797979
7-0.0557-0.43150.666157
80.2672722.07030.021369
90.2451861.89920.031174
100.0762780.59090.27842
11-0.070086-0.54290.705389
12-0.521642-4.04060.999923
13-0.003709-0.02870.511412
14-0.057119-0.44240.670119
150.0252750.19580.422723
16-0.060081-0.46540.678331



Parameters (Session):
par1 = Default ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ;
Parameters (R input):
par1 = Default ; par2 = 1 ; par3 = 0 ; par4 = 0 ; 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')