Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationThu, 29 Nov 2007 05:08:17 -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/29/t11963374841xxhrpphzbf97cv.htm/, Retrieved Fri, 03 May 2024 07:11:14 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=7447, Retrieved Fri, 03 May 2024 07:11:14 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact168
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [totale bevolking ...] [2007-11-29 12:08:17] [dd38921fafddee0dfc20da83e9650a2a] [Current]
Feedback Forum

Post a new message
Dataseries X:
8.798
8.841
8.896
8.951
9.027
9.079
9.129
9.178
9.190
9.251
9.328
9.428
9.499
9.556
9.606
9.632
9.660
9.651
9.695
9.727
9.757
9.788
9.813
9.823
9.837
9.842
9.855
9.863
9.855
9.858
9.853
9.858
9.859
9.865
9.876
9.928
9.948
9.987
10.022
10.068
10.101
10.131
10.143
10.170
10.192
10.214
10.239
10.263
10.310
10.355
10.396
10.446
10.511
10.585




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=7447&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=7447&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7447&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
016.48070
10.9375096.07580
20.8537385.53291e-06
30.7546864.89098e-06
40.6514624.2226.3e-05
50.5493063.55990.000469
60.4518282.92820.002743
70.3462022.24360.015093
80.2311331.49790.070817
90.1021350.66190.255822
10-0.026446-0.17140.56763
11-0.142948-0.92640.820236
12-0.237653-1.54020.93449
13-0.312778-2.0270.975481
14-0.3715-2.40760.989735
15-0.414807-2.68830.994873
16-0.448397-2.90590.99709

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 6.4807 & 0 \tabularnewline
1 & 0.937509 & 6.0758 & 0 \tabularnewline
2 & 0.853738 & 5.5329 & 1e-06 \tabularnewline
3 & 0.754686 & 4.8909 & 8e-06 \tabularnewline
4 & 0.651462 & 4.222 & 6.3e-05 \tabularnewline
5 & 0.549306 & 3.5599 & 0.000469 \tabularnewline
6 & 0.451828 & 2.9282 & 0.002743 \tabularnewline
7 & 0.346202 & 2.2436 & 0.015093 \tabularnewline
8 & 0.231133 & 1.4979 & 0.070817 \tabularnewline
9 & 0.102135 & 0.6619 & 0.255822 \tabularnewline
10 & -0.026446 & -0.1714 & 0.56763 \tabularnewline
11 & -0.142948 & -0.9264 & 0.820236 \tabularnewline
12 & -0.237653 & -1.5402 & 0.93449 \tabularnewline
13 & -0.312778 & -2.027 & 0.975481 \tabularnewline
14 & -0.3715 & -2.4076 & 0.989735 \tabularnewline
15 & -0.414807 & -2.6883 & 0.994873 \tabularnewline
16 & -0.448397 & -2.9059 & 0.99709 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7447&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]6.4807[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]0.937509[/C][C]6.0758[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.853738[/C][C]5.5329[/C][C]1e-06[/C][/ROW]
[ROW][C]3[/C][C]0.754686[/C][C]4.8909[/C][C]8e-06[/C][/ROW]
[ROW][C]4[/C][C]0.651462[/C][C]4.222[/C][C]6.3e-05[/C][/ROW]
[ROW][C]5[/C][C]0.549306[/C][C]3.5599[/C][C]0.000469[/C][/ROW]
[ROW][C]6[/C][C]0.451828[/C][C]2.9282[/C][C]0.002743[/C][/ROW]
[ROW][C]7[/C][C]0.346202[/C][C]2.2436[/C][C]0.015093[/C][/ROW]
[ROW][C]8[/C][C]0.231133[/C][C]1.4979[/C][C]0.070817[/C][/ROW]
[ROW][C]9[/C][C]0.102135[/C][C]0.6619[/C][C]0.255822[/C][/ROW]
[ROW][C]10[/C][C]-0.026446[/C][C]-0.1714[/C][C]0.56763[/C][/ROW]
[ROW][C]11[/C][C]-0.142948[/C][C]-0.9264[/C][C]0.820236[/C][/ROW]
[ROW][C]12[/C][C]-0.237653[/C][C]-1.5402[/C][C]0.93449[/C][/ROW]
[ROW][C]13[/C][C]-0.312778[/C][C]-2.027[/C][C]0.975481[/C][/ROW]
[ROW][C]14[/C][C]-0.3715[/C][C]-2.4076[/C][C]0.989735[/C][/ROW]
[ROW][C]15[/C][C]-0.414807[/C][C]-2.6883[/C][C]0.994873[/C][/ROW]
[ROW][C]16[/C][C]-0.448397[/C][C]-2.9059[/C][C]0.99709[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=7447&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7447&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
016.48070
10.9375096.07580
20.8537385.53291e-06
30.7546864.89098e-06
40.6514624.2226.3e-05
50.5493063.55990.000469
60.4518282.92820.002743
70.3462022.24360.015093
80.2311331.49790.070817
90.1021350.66190.255822
10-0.026446-0.17140.56763
11-0.142948-0.92640.820236
12-0.237653-1.54020.93449
13-0.312778-2.0270.975481
14-0.3715-2.40760.989735
15-0.414807-2.68830.994873
16-0.448397-2.90590.99709







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
00.9375096.07580
1-0.208008-1.3480.907565
2-0.148298-0.96110.828995
3-0.05936-0.38470.648799
4-0.037223-0.24120.594725
5-0.026786-0.17360.568489
6-0.154272-0.99980.838432
7-0.153893-0.99730.837845
8-0.192551-1.24790.890505
9-0.078376-0.50790.692922
10-0.008445-0.05470.521694
110.0330880.21440.415623
12-0.006481-0.0420.516653
13-0.027579-0.17870.570497
140.0093450.06060.475997
15-0.022075-0.14310.556539
160.0316040.20480.419353

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & 0.937509 & 6.0758 & 0 \tabularnewline
1 & -0.208008 & -1.348 & 0.907565 \tabularnewline
2 & -0.148298 & -0.9611 & 0.828995 \tabularnewline
3 & -0.05936 & -0.3847 & 0.648799 \tabularnewline
4 & -0.037223 & -0.2412 & 0.594725 \tabularnewline
5 & -0.026786 & -0.1736 & 0.568489 \tabularnewline
6 & -0.154272 & -0.9998 & 0.838432 \tabularnewline
7 & -0.153893 & -0.9973 & 0.837845 \tabularnewline
8 & -0.192551 & -1.2479 & 0.890505 \tabularnewline
9 & -0.078376 & -0.5079 & 0.692922 \tabularnewline
10 & -0.008445 & -0.0547 & 0.521694 \tabularnewline
11 & 0.033088 & 0.2144 & 0.415623 \tabularnewline
12 & -0.006481 & -0.042 & 0.516653 \tabularnewline
13 & -0.027579 & -0.1787 & 0.570497 \tabularnewline
14 & 0.009345 & 0.0606 & 0.475997 \tabularnewline
15 & -0.022075 & -0.1431 & 0.556539 \tabularnewline
16 & 0.031604 & 0.2048 & 0.419353 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7447&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]0.937509[/C][C]6.0758[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]-0.208008[/C][C]-1.348[/C][C]0.907565[/C][/ROW]
[ROW][C]2[/C][C]-0.148298[/C][C]-0.9611[/C][C]0.828995[/C][/ROW]
[ROW][C]3[/C][C]-0.05936[/C][C]-0.3847[/C][C]0.648799[/C][/ROW]
[ROW][C]4[/C][C]-0.037223[/C][C]-0.2412[/C][C]0.594725[/C][/ROW]
[ROW][C]5[/C][C]-0.026786[/C][C]-0.1736[/C][C]0.568489[/C][/ROW]
[ROW][C]6[/C][C]-0.154272[/C][C]-0.9998[/C][C]0.838432[/C][/ROW]
[ROW][C]7[/C][C]-0.153893[/C][C]-0.9973[/C][C]0.837845[/C][/ROW]
[ROW][C]8[/C][C]-0.192551[/C][C]-1.2479[/C][C]0.890505[/C][/ROW]
[ROW][C]9[/C][C]-0.078376[/C][C]-0.5079[/C][C]0.692922[/C][/ROW]
[ROW][C]10[/C][C]-0.008445[/C][C]-0.0547[/C][C]0.521694[/C][/ROW]
[ROW][C]11[/C][C]0.033088[/C][C]0.2144[/C][C]0.415623[/C][/ROW]
[ROW][C]12[/C][C]-0.006481[/C][C]-0.042[/C][C]0.516653[/C][/ROW]
[ROW][C]13[/C][C]-0.027579[/C][C]-0.1787[/C][C]0.570497[/C][/ROW]
[ROW][C]14[/C][C]0.009345[/C][C]0.0606[/C][C]0.475997[/C][/ROW]
[ROW][C]15[/C][C]-0.022075[/C][C]-0.1431[/C][C]0.556539[/C][/ROW]
[ROW][C]16[/C][C]0.031604[/C][C]0.2048[/C][C]0.419353[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=7447&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7447&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
00.9375096.07580
1-0.208008-1.3480.907565
2-0.148298-0.96110.828995
3-0.05936-0.38470.648799
4-0.037223-0.24120.594725
5-0.026786-0.17360.568489
6-0.154272-0.99980.838432
7-0.153893-0.99730.837845
8-0.192551-1.24790.890505
9-0.078376-0.50790.692922
10-0.008445-0.05470.521694
110.0330880.21440.415623
12-0.006481-0.0420.516653
13-0.027579-0.17870.570497
140.0093450.06060.475997
15-0.022075-0.14310.556539
160.0316040.20480.419353



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