Repository of Reproducible Computations

Free Statistics

of Irreproducible Research!

Author's title

Author

*Unverified author*

R Software Module

rwasp_autocorrelation.wasp

Title produced by software

(Partial) Autocorrelation Function

Date of computation

Wed, 05 Dec 2007 12:05:11 -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/2007/Dec/05/t1196880871z3vhaw9pmsin6kb.htm/, Retrieved Thu, 02 May 2024 17:01:51 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=2500, Retrieved Thu, 02 May 2024 17:01:51 +0000

QR Codes:

Paste this QR Code to cite your computation.

Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

242

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

-       [(Partial) Autocorrelation Function] [ACF & PACF broodp...] [2007-12-05 19:05:11] [5a8e7c1f041681f87e3014e302618e0c] [Current]

Feedback Forum

Post a new message

Dataseries X:

Download CSV

Histogram

Boxplots

1,43
1,43
1,43
1,43
1,43
1,43
1,44
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,57
1,58
1,58
1,58
1,58
1,59
1,6
1,6
1,61
1,61
1,61
1,62
1,63
1,63
1,64
1,64
1,64
1,64
1,64
1,65
1,65
1,65
1,65

Summary of compuational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	3 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=2500&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=2500&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=2500&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 Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	3 seconds
R Server	'Herman Ole Andreas Wold' @ 193.190.124.10:1001

Autocorrelation Function
Time lag k	ACF(k)	T-STAT	P-value
0	1	7.6811	0
1	0.068076	0.5229	0.301501
2	-0.066275	-0.5091	0.693698
3	-0.057471	-0.4414	0.669748
4	-0.065306	-0.5016	0.6911
5	0.035526	0.2729	0.39295
6	0.037917	0.2912	0.385943
7	-0.040281	-0.3094	0.620949
8	0.040099	0.308	0.37958
9	-0.059763	-0.459	0.676056
10	-0.061184	-0.47	0.679944
11	0.04346	0.3338	0.369849
12	0.0254	0.1951	0.422991
13	-0.047599	-0.3656	0.642019
14	0.032782	0.2518	0.401034
15	-0.06708	-0.5153	0.695848
16	-0.068502	-0.5262	0.699629

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 7.6811 & 0 \tabularnewline
1 & 0.068076 & 0.5229 & 0.301501 \tabularnewline
2 & -0.066275 & -0.5091 & 0.693698 \tabularnewline
3 & -0.057471 & -0.4414 & 0.669748 \tabularnewline
4 & -0.065306 & -0.5016 & 0.6911 \tabularnewline
5 & 0.035526 & 0.2729 & 0.39295 \tabularnewline
6 & 0.037917 & 0.2912 & 0.385943 \tabularnewline
7 & -0.040281 & -0.3094 & 0.620949 \tabularnewline
8 & 0.040099 & 0.308 & 0.37958 \tabularnewline
9 & -0.059763 & -0.459 & 0.676056 \tabularnewline
10 & -0.061184 & -0.47 & 0.679944 \tabularnewline
11 & 0.04346 & 0.3338 & 0.369849 \tabularnewline
12 & 0.0254 & 0.1951 & 0.422991 \tabularnewline
13 & -0.047599 & -0.3656 & 0.642019 \tabularnewline
14 & 0.032782 & 0.2518 & 0.401034 \tabularnewline
15 & -0.06708 & -0.5153 & 0.695848 \tabularnewline
16 & -0.068502 & -0.5262 & 0.699629 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=2500&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]7.6811[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]0.068076[/C][C]0.5229[/C][C]0.301501[/C][/ROW]
[ROW][C]2[/C][C]-0.066275[/C][C]-0.5091[/C][C]0.693698[/C][/ROW]
[ROW][C]3[/C][C]-0.057471[/C][C]-0.4414[/C][C]0.669748[/C][/ROW]
[ROW][C]4[/C][C]-0.065306[/C][C]-0.5016[/C][C]0.6911[/C][/ROW]
[ROW][C]5[/C][C]0.035526[/C][C]0.2729[/C][C]0.39295[/C][/ROW]
[ROW][C]6[/C][C]0.037917[/C][C]0.2912[/C][C]0.385943[/C][/ROW]
[ROW][C]7[/C][C]-0.040281[/C][C]-0.3094[/C][C]0.620949[/C][/ROW]
[ROW][C]8[/C][C]0.040099[/C][C]0.308[/C][C]0.37958[/C][/ROW]
[ROW][C]9[/C][C]-0.059763[/C][C]-0.459[/C][C]0.676056[/C][/ROW]
[ROW][C]10[/C][C]-0.061184[/C][C]-0.47[/C][C]0.679944[/C][/ROW]
[ROW][C]11[/C][C]0.04346[/C][C]0.3338[/C][C]0.369849[/C][/ROW]
[ROW][C]12[/C][C]0.0254[/C][C]0.1951[/C][C]0.422991[/C][/ROW]
[ROW][C]13[/C][C]-0.047599[/C][C]-0.3656[/C][C]0.642019[/C][/ROW]
[ROW][C]14[/C][C]0.032782[/C][C]0.2518[/C][C]0.401034[/C][/ROW]
[ROW][C]15[/C][C]-0.06708[/C][C]-0.5153[/C][C]0.695848[/C][/ROW]
[ROW][C]16[/C][C]-0.068502[/C][C]-0.5262[/C][C]0.699629[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=2500&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=2500&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 k	ACF(k)	T-STAT	P-value
0	1	7.6811	0
1	0.068076	0.5229	0.301501
2	-0.066275	-0.5091	0.693698
3	-0.057471	-0.4414	0.669748
4	-0.065306	-0.5016	0.6911
5	0.035526	0.2729	0.39295
6	0.037917	0.2912	0.385943
7	-0.040281	-0.3094	0.620949
8	0.040099	0.308	0.37958
9	-0.059763	-0.459	0.676056
10	-0.061184	-0.47	0.679944
11	0.04346	0.3338	0.369849
12	0.0254	0.1951	0.422991
13	-0.047599	-0.3656	0.642019
14	0.032782	0.2518	0.401034
15	-0.06708	-0.5153	0.695848
16	-0.068502	-0.5262	0.699629

Partial Autocorrelation Function
Time lag k	PACF(k)	T-STAT	P-value
0	0.068076	0.5229	0.301501
1	-0.071239	-0.5472	0.706848
2	-0.048256	-0.3707	0.643891
3	-0.063274	-0.486	0.685622
4	0.037728	0.2898	0.386494
5	0.021966	0.1687	0.433295
6	-0.046658	-0.3584	0.639333
7	0.050391	0.3871	0.350051
8	-0.065742	-0.505	0.692272
9	-0.049038	-0.3767	0.646115
10	0.040777	0.3132	0.377611
11	0.01426	0.1095	0.456575
12	-0.060163	-0.4621	0.677154
13	0.040953	0.3146	0.377101
14	-0.062511	-0.4802	0.683555
15	-0.06768	-0.5199	0.697446
16	-0.073215	-0.5624	0.712003

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & 0.068076 & 0.5229 & 0.301501 \tabularnewline
1 & -0.071239 & -0.5472 & 0.706848 \tabularnewline
2 & -0.048256 & -0.3707 & 0.643891 \tabularnewline
3 & -0.063274 & -0.486 & 0.685622 \tabularnewline
4 & 0.037728 & 0.2898 & 0.386494 \tabularnewline
5 & 0.021966 & 0.1687 & 0.433295 \tabularnewline
6 & -0.046658 & -0.3584 & 0.639333 \tabularnewline
7 & 0.050391 & 0.3871 & 0.350051 \tabularnewline
8 & -0.065742 & -0.505 & 0.692272 \tabularnewline
9 & -0.049038 & -0.3767 & 0.646115 \tabularnewline
10 & 0.040777 & 0.3132 & 0.377611 \tabularnewline
11 & 0.01426 & 0.1095 & 0.456575 \tabularnewline
12 & -0.060163 & -0.4621 & 0.677154 \tabularnewline
13 & 0.040953 & 0.3146 & 0.377101 \tabularnewline
14 & -0.062511 & -0.4802 & 0.683555 \tabularnewline
15 & -0.06768 & -0.5199 & 0.697446 \tabularnewline
16 & -0.073215 & -0.5624 & 0.712003 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=2500&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]0.068076[/C][C]0.5229[/C][C]0.301501[/C][/ROW]
[ROW][C]1[/C][C]-0.071239[/C][C]-0.5472[/C][C]0.706848[/C][/ROW]
[ROW][C]2[/C][C]-0.048256[/C][C]-0.3707[/C][C]0.643891[/C][/ROW]
[ROW][C]3[/C][C]-0.063274[/C][C]-0.486[/C][C]0.685622[/C][/ROW]
[ROW][C]4[/C][C]0.037728[/C][C]0.2898[/C][C]0.386494[/C][/ROW]
[ROW][C]5[/C][C]0.021966[/C][C]0.1687[/C][C]0.433295[/C][/ROW]
[ROW][C]6[/C][C]-0.046658[/C][C]-0.3584[/C][C]0.639333[/C][/ROW]
[ROW][C]7[/C][C]0.050391[/C][C]0.3871[/C][C]0.350051[/C][/ROW]
[ROW][C]8[/C][C]-0.065742[/C][C]-0.505[/C][C]0.692272[/C][/ROW]
[ROW][C]9[/C][C]-0.049038[/C][C]-0.3767[/C][C]0.646115[/C][/ROW]
[ROW][C]10[/C][C]0.040777[/C][C]0.3132[/C][C]0.377611[/C][/ROW]
[ROW][C]11[/C][C]0.01426[/C][C]0.1095[/C][C]0.456575[/C][/ROW]
[ROW][C]12[/C][C]-0.060163[/C][C]-0.4621[/C][C]0.677154[/C][/ROW]
[ROW][C]13[/C][C]0.040953[/C][C]0.3146[/C][C]0.377101[/C][/ROW]
[ROW][C]14[/C][C]-0.062511[/C][C]-0.4802[/C][C]0.683555[/C][/ROW]
[ROW][C]15[/C][C]-0.06768[/C][C]-0.5199[/C][C]0.697446[/C][/ROW]
[ROW][C]16[/C][C]-0.073215[/C][C]-0.5624[/C][C]0.712003[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=2500&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=2500&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 k	PACF(k)	T-STAT	P-value
0	0.068076	0.5229	0.301501
1	-0.071239	-0.5472	0.706848
2	-0.048256	-0.3707	0.643891
3	-0.063274	-0.486	0.685622
4	0.037728	0.2898	0.386494
5	0.021966	0.1687	0.433295
6	-0.046658	-0.3584	0.639333
7	0.050391	0.3871	0.350051
8	-0.065742	-0.505	0.692272
9	-0.049038	-0.3767	0.646115
10	0.040777	0.3132	0.377611
11	0.01426	0.1095	0.456575
12	-0.060163	-0.4621	0.677154
13	0.040953	0.3146	0.377101
14	-0.062511	-0.4802	0.683555
15	-0.06768	-0.5199	0.697446
16	-0.073215	-0.5624	0.712003

Figure 1

PNG link

Postscript link

PDF link

Figure 2

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = Default ; par2 = 1 ; par3 = 1 ; par4 = 0 ; par5 = 12 ;

Parameters (R input):

par1 = Default ; par2 = 1 ; par3 = 1 ; 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')

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code