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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationTue, 15 Nov 2011 11:05:12 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Nov/15/t1321373240mdwgnrtofe6c0s7.htm/, Retrieved Fri, 29 Mar 2024 12:39:35 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=143122, Retrieved Fri, 29 Mar 2024 12:39:35 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP2W12
Estimated Impact75
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [autocorrelation e...] [2011-11-15 16:05:12] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataseries X:
7.6
7.4
7.3
7.1
6.9
6.8
7.5
7.6
7.8
8
8.1
8.2
8.3
8.2
8
7.9
7.6
7.6
8.3
8.4
8.4
8.4
8.4
8.6
8.9
8.8
8.3
7.5
7.2
7.4
8.8
9.3
9.3
8.7
8.2
8.3
8.5
8.6
8.5
8.2
8.1
7.9
8.6
8.7
8.7
8.5
8.4
8.5
8.7
8.7
8.6
8.5
8.3
8
8.2
8.1
8.1
8
7.9
7.9
8
8
7.9
8
7.7
7.2
7.5
7.3
7
7
7
7.2
7.3
7.1
6.8
6.4
6.1
6.5
7.7
7.9
7.5
6.9
6.6
6.9
7.7
8
8
7.7
7.3
7.4
8.1
8.3
8.1
7.9
7.9
8.3
8.6
8.7
8.5
8.3
8
8
8.8
8.7
8.5
8.1
7.8
7.6




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'George Udny Yule' @ yule.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational 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 & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=143122&T=0

[TABLE]
[ROW][C]Summary of computational 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]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=143122&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=143122&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 computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'George Udny Yule' @ yule.wessa.net







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.3615023.73940.000149
2-0.243349-2.51720.006655
3-0.553208-5.72240
4-0.396714-4.10364e-05
50.0923320.95510.170843
60.4577464.7353e-06
70.2793432.88950.002336
8-0.133803-1.38410.084609
9-0.355243-3.67470.000187
10-0.264476-2.73580.003644
110.1173711.21410.113692
120.5547735.73860
130.1658841.71590.044535
14-0.168232-1.74020.042349
15-0.298905-3.09190.001268
16-0.20266-2.09630.019205
170.0743350.76890.221816
180.2683882.77620.003247
190.0946790.97940.164803
20-0.137715-1.42450.078601
21-0.238654-2.46870.007572
22-0.165102-1.70780.045284
230.0563380.58280.280639
240.3849773.98226.2e-05
250.0751170.7770.219431
26-0.111894-1.15740.124836
27-0.199531-2.0640.02072
28-0.143975-1.48930.069677
290.012520.12950.448601
300.1384981.43260.077439
310.0712050.73660.231504
32-0.061033-0.63130.264586
33-0.105634-1.09270.138493
34-0.08529-0.88220.189812
350.0289510.29950.382579
360.2378722.46060.007736
37-0.023474-0.24280.404305
38-0.109546-1.13320.129841
39-0.098592-1.01980.155053
40-0.005477-0.05670.477462
410.139281.44070.076291
420.1917061.9830.024964
43-0.00626-0.06480.474246
44-0.215962-2.23390.013784
45-0.232394-2.40390.00897
46-0.076682-0.79320.214706
470.1690141.74830.041641
480.3787173.91757.9e-05

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.361502 & 3.7394 & 0.000149 \tabularnewline
2 & -0.243349 & -2.5172 & 0.006655 \tabularnewline
3 & -0.553208 & -5.7224 & 0 \tabularnewline
4 & -0.396714 & -4.1036 & 4e-05 \tabularnewline
5 & 0.092332 & 0.9551 & 0.170843 \tabularnewline
6 & 0.457746 & 4.735 & 3e-06 \tabularnewline
7 & 0.279343 & 2.8895 & 0.002336 \tabularnewline
8 & -0.133803 & -1.3841 & 0.084609 \tabularnewline
9 & -0.355243 & -3.6747 & 0.000187 \tabularnewline
10 & -0.264476 & -2.7358 & 0.003644 \tabularnewline
11 & 0.117371 & 1.2141 & 0.113692 \tabularnewline
12 & 0.554773 & 5.7386 & 0 \tabularnewline
13 & 0.165884 & 1.7159 & 0.044535 \tabularnewline
14 & -0.168232 & -1.7402 & 0.042349 \tabularnewline
15 & -0.298905 & -3.0919 & 0.001268 \tabularnewline
16 & -0.20266 & -2.0963 & 0.019205 \tabularnewline
17 & 0.074335 & 0.7689 & 0.221816 \tabularnewline
18 & 0.268388 & 2.7762 & 0.003247 \tabularnewline
19 & 0.094679 & 0.9794 & 0.164803 \tabularnewline
20 & -0.137715 & -1.4245 & 0.078601 \tabularnewline
21 & -0.238654 & -2.4687 & 0.007572 \tabularnewline
22 & -0.165102 & -1.7078 & 0.045284 \tabularnewline
23 & 0.056338 & 0.5828 & 0.280639 \tabularnewline
24 & 0.384977 & 3.9822 & 6.2e-05 \tabularnewline
25 & 0.075117 & 0.777 & 0.219431 \tabularnewline
26 & -0.111894 & -1.1574 & 0.124836 \tabularnewline
27 & -0.199531 & -2.064 & 0.02072 \tabularnewline
28 & -0.143975 & -1.4893 & 0.069677 \tabularnewline
29 & 0.01252 & 0.1295 & 0.448601 \tabularnewline
30 & 0.138498 & 1.4326 & 0.077439 \tabularnewline
31 & 0.071205 & 0.7366 & 0.231504 \tabularnewline
32 & -0.061033 & -0.6313 & 0.264586 \tabularnewline
33 & -0.105634 & -1.0927 & 0.138493 \tabularnewline
34 & -0.08529 & -0.8822 & 0.189812 \tabularnewline
35 & 0.028951 & 0.2995 & 0.382579 \tabularnewline
36 & 0.237872 & 2.4606 & 0.007736 \tabularnewline
37 & -0.023474 & -0.2428 & 0.404305 \tabularnewline
38 & -0.109546 & -1.1332 & 0.129841 \tabularnewline
39 & -0.098592 & -1.0198 & 0.155053 \tabularnewline
40 & -0.005477 & -0.0567 & 0.477462 \tabularnewline
41 & 0.13928 & 1.4407 & 0.076291 \tabularnewline
42 & 0.191706 & 1.983 & 0.024964 \tabularnewline
43 & -0.00626 & -0.0648 & 0.474246 \tabularnewline
44 & -0.215962 & -2.2339 & 0.013784 \tabularnewline
45 & -0.232394 & -2.4039 & 0.00897 \tabularnewline
46 & -0.076682 & -0.7932 & 0.214706 \tabularnewline
47 & 0.169014 & 1.7483 & 0.041641 \tabularnewline
48 & 0.378717 & 3.9175 & 7.9e-05 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=143122&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]1[/C][C]0.361502[/C][C]3.7394[/C][C]0.000149[/C][/ROW]
[ROW][C]2[/C][C]-0.243349[/C][C]-2.5172[/C][C]0.006655[/C][/ROW]
[ROW][C]3[/C][C]-0.553208[/C][C]-5.7224[/C][C]0[/C][/ROW]
[ROW][C]4[/C][C]-0.396714[/C][C]-4.1036[/C][C]4e-05[/C][/ROW]
[ROW][C]5[/C][C]0.092332[/C][C]0.9551[/C][C]0.170843[/C][/ROW]
[ROW][C]6[/C][C]0.457746[/C][C]4.735[/C][C]3e-06[/C][/ROW]
[ROW][C]7[/C][C]0.279343[/C][C]2.8895[/C][C]0.002336[/C][/ROW]
[ROW][C]8[/C][C]-0.133803[/C][C]-1.3841[/C][C]0.084609[/C][/ROW]
[ROW][C]9[/C][C]-0.355243[/C][C]-3.6747[/C][C]0.000187[/C][/ROW]
[ROW][C]10[/C][C]-0.264476[/C][C]-2.7358[/C][C]0.003644[/C][/ROW]
[ROW][C]11[/C][C]0.117371[/C][C]1.2141[/C][C]0.113692[/C][/ROW]
[ROW][C]12[/C][C]0.554773[/C][C]5.7386[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]0.165884[/C][C]1.7159[/C][C]0.044535[/C][/ROW]
[ROW][C]14[/C][C]-0.168232[/C][C]-1.7402[/C][C]0.042349[/C][/ROW]
[ROW][C]15[/C][C]-0.298905[/C][C]-3.0919[/C][C]0.001268[/C][/ROW]
[ROW][C]16[/C][C]-0.20266[/C][C]-2.0963[/C][C]0.019205[/C][/ROW]
[ROW][C]17[/C][C]0.074335[/C][C]0.7689[/C][C]0.221816[/C][/ROW]
[ROW][C]18[/C][C]0.268388[/C][C]2.7762[/C][C]0.003247[/C][/ROW]
[ROW][C]19[/C][C]0.094679[/C][C]0.9794[/C][C]0.164803[/C][/ROW]
[ROW][C]20[/C][C]-0.137715[/C][C]-1.4245[/C][C]0.078601[/C][/ROW]
[ROW][C]21[/C][C]-0.238654[/C][C]-2.4687[/C][C]0.007572[/C][/ROW]
[ROW][C]22[/C][C]-0.165102[/C][C]-1.7078[/C][C]0.045284[/C][/ROW]
[ROW][C]23[/C][C]0.056338[/C][C]0.5828[/C][C]0.280639[/C][/ROW]
[ROW][C]24[/C][C]0.384977[/C][C]3.9822[/C][C]6.2e-05[/C][/ROW]
[ROW][C]25[/C][C]0.075117[/C][C]0.777[/C][C]0.219431[/C][/ROW]
[ROW][C]26[/C][C]-0.111894[/C][C]-1.1574[/C][C]0.124836[/C][/ROW]
[ROW][C]27[/C][C]-0.199531[/C][C]-2.064[/C][C]0.02072[/C][/ROW]
[ROW][C]28[/C][C]-0.143975[/C][C]-1.4893[/C][C]0.069677[/C][/ROW]
[ROW][C]29[/C][C]0.01252[/C][C]0.1295[/C][C]0.448601[/C][/ROW]
[ROW][C]30[/C][C]0.138498[/C][C]1.4326[/C][C]0.077439[/C][/ROW]
[ROW][C]31[/C][C]0.071205[/C][C]0.7366[/C][C]0.231504[/C][/ROW]
[ROW][C]32[/C][C]-0.061033[/C][C]-0.6313[/C][C]0.264586[/C][/ROW]
[ROW][C]33[/C][C]-0.105634[/C][C]-1.0927[/C][C]0.138493[/C][/ROW]
[ROW][C]34[/C][C]-0.08529[/C][C]-0.8822[/C][C]0.189812[/C][/ROW]
[ROW][C]35[/C][C]0.028951[/C][C]0.2995[/C][C]0.382579[/C][/ROW]
[ROW][C]36[/C][C]0.237872[/C][C]2.4606[/C][C]0.007736[/C][/ROW]
[ROW][C]37[/C][C]-0.023474[/C][C]-0.2428[/C][C]0.404305[/C][/ROW]
[ROW][C]38[/C][C]-0.109546[/C][C]-1.1332[/C][C]0.129841[/C][/ROW]
[ROW][C]39[/C][C]-0.098592[/C][C]-1.0198[/C][C]0.155053[/C][/ROW]
[ROW][C]40[/C][C]-0.005477[/C][C]-0.0567[/C][C]0.477462[/C][/ROW]
[ROW][C]41[/C][C]0.13928[/C][C]1.4407[/C][C]0.076291[/C][/ROW]
[ROW][C]42[/C][C]0.191706[/C][C]1.983[/C][C]0.024964[/C][/ROW]
[ROW][C]43[/C][C]-0.00626[/C][C]-0.0648[/C][C]0.474246[/C][/ROW]
[ROW][C]44[/C][C]-0.215962[/C][C]-2.2339[/C][C]0.013784[/C][/ROW]
[ROW][C]45[/C][C]-0.232394[/C][C]-2.4039[/C][C]0.00897[/C][/ROW]
[ROW][C]46[/C][C]-0.076682[/C][C]-0.7932[/C][C]0.214706[/C][/ROW]
[ROW][C]47[/C][C]0.169014[/C][C]1.7483[/C][C]0.041641[/C][/ROW]
[ROW][C]48[/C][C]0.378717[/C][C]3.9175[/C][C]7.9e-05[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=143122&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=143122&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
10.3615023.73940.000149
2-0.243349-2.51720.006655
3-0.553208-5.72240
4-0.396714-4.10364e-05
50.0923320.95510.170843
60.4577464.7353e-06
70.2793432.88950.002336
8-0.133803-1.38410.084609
9-0.355243-3.67470.000187
10-0.264476-2.73580.003644
110.1173711.21410.113692
120.5547735.73860
130.1658841.71590.044535
14-0.168232-1.74020.042349
15-0.298905-3.09190.001268
16-0.20266-2.09630.019205
170.0743350.76890.221816
180.2683882.77620.003247
190.0946790.97940.164803
20-0.137715-1.42450.078601
21-0.238654-2.46870.007572
22-0.165102-1.70780.045284
230.0563380.58280.280639
240.3849773.98226.2e-05
250.0751170.7770.219431
26-0.111894-1.15740.124836
27-0.199531-2.0640.02072
28-0.143975-1.48930.069677
290.012520.12950.448601
300.1384981.43260.077439
310.0712050.73660.231504
32-0.061033-0.63130.264586
33-0.105634-1.09270.138493
34-0.08529-0.88220.189812
350.0289510.29950.382579
360.2378722.46060.007736
37-0.023474-0.24280.404305
38-0.109546-1.13320.129841
39-0.098592-1.01980.155053
40-0.005477-0.05670.477462
410.139281.44070.076291
420.1917061.9830.024964
43-0.00626-0.06480.474246
44-0.215962-2.23390.013784
45-0.232394-2.40390.00897
46-0.076682-0.79320.214706
470.1690141.74830.041641
480.3787173.91757.9e-05







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.3615023.73940.000149
2-0.430261-4.45071.1e-05
3-0.383755-3.96966.5e-05
4-0.198183-2.050.021404
50.0746610.77230.22082
60.1516841.5690.059797
7-0.131044-1.35550.089052
8-0.150115-1.55280.061712
9-0.025935-0.26830.394502
10-0.031948-0.33050.370845
110.0843790.87280.192357
120.3932524.06784.5e-05
13-0.393254-4.06794.5e-05
140.1422121.47110.072105
150.2227022.30360.011587
16-0.023777-0.2460.403095
17-0.092713-0.9590.169853
18-0.067483-0.6980.243331
19-0.064781-0.67010.252117
200.0317360.32830.371673
21-0.137069-1.41790.07957
22-0.113036-1.16930.12245
23-0.12921-1.33660.092101
240.1579921.63430.052569
25-0.129643-1.3410.091373
260.0063270.06550.473969
27-0.096336-0.99650.160625
280.0262620.27170.393204
29-0.057393-0.59370.27699
30-0.09341-0.96620.168051
310.0393230.40680.342497
32-0.103827-1.0740.142619
33-0.009763-0.1010.459874
340.0487820.50460.307438
35-0.008939-0.09250.463252
36-0.042742-0.44210.329643
37-0.114481-1.18420.119479
380.0012390.01280.494899
390.0509360.52690.29968
400.0292670.30270.381336
410.139121.43910.076525
420.0540640.55920.288583
43-0.122727-1.26950.103509
44-0.108169-1.11890.132843
45-0.011854-0.12260.451321
46-0.015403-0.15930.436854
470.0239270.24750.402496
48-0.066742-0.69040.245725

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.361502 & 3.7394 & 0.000149 \tabularnewline
2 & -0.430261 & -4.4507 & 1.1e-05 \tabularnewline
3 & -0.383755 & -3.9696 & 6.5e-05 \tabularnewline
4 & -0.198183 & -2.05 & 0.021404 \tabularnewline
5 & 0.074661 & 0.7723 & 0.22082 \tabularnewline
6 & 0.151684 & 1.569 & 0.059797 \tabularnewline
7 & -0.131044 & -1.3555 & 0.089052 \tabularnewline
8 & -0.150115 & -1.5528 & 0.061712 \tabularnewline
9 & -0.025935 & -0.2683 & 0.394502 \tabularnewline
10 & -0.031948 & -0.3305 & 0.370845 \tabularnewline
11 & 0.084379 & 0.8728 & 0.192357 \tabularnewline
12 & 0.393252 & 4.0678 & 4.5e-05 \tabularnewline
13 & -0.393254 & -4.0679 & 4.5e-05 \tabularnewline
14 & 0.142212 & 1.4711 & 0.072105 \tabularnewline
15 & 0.222702 & 2.3036 & 0.011587 \tabularnewline
16 & -0.023777 & -0.246 & 0.403095 \tabularnewline
17 & -0.092713 & -0.959 & 0.169853 \tabularnewline
18 & -0.067483 & -0.698 & 0.243331 \tabularnewline
19 & -0.064781 & -0.6701 & 0.252117 \tabularnewline
20 & 0.031736 & 0.3283 & 0.371673 \tabularnewline
21 & -0.137069 & -1.4179 & 0.07957 \tabularnewline
22 & -0.113036 & -1.1693 & 0.12245 \tabularnewline
23 & -0.12921 & -1.3366 & 0.092101 \tabularnewline
24 & 0.157992 & 1.6343 & 0.052569 \tabularnewline
25 & -0.129643 & -1.341 & 0.091373 \tabularnewline
26 & 0.006327 & 0.0655 & 0.473969 \tabularnewline
27 & -0.096336 & -0.9965 & 0.160625 \tabularnewline
28 & 0.026262 & 0.2717 & 0.393204 \tabularnewline
29 & -0.057393 & -0.5937 & 0.27699 \tabularnewline
30 & -0.09341 & -0.9662 & 0.168051 \tabularnewline
31 & 0.039323 & 0.4068 & 0.342497 \tabularnewline
32 & -0.103827 & -1.074 & 0.142619 \tabularnewline
33 & -0.009763 & -0.101 & 0.459874 \tabularnewline
34 & 0.048782 & 0.5046 & 0.307438 \tabularnewline
35 & -0.008939 & -0.0925 & 0.463252 \tabularnewline
36 & -0.042742 & -0.4421 & 0.329643 \tabularnewline
37 & -0.114481 & -1.1842 & 0.119479 \tabularnewline
38 & 0.001239 & 0.0128 & 0.494899 \tabularnewline
39 & 0.050936 & 0.5269 & 0.29968 \tabularnewline
40 & 0.029267 & 0.3027 & 0.381336 \tabularnewline
41 & 0.13912 & 1.4391 & 0.076525 \tabularnewline
42 & 0.054064 & 0.5592 & 0.288583 \tabularnewline
43 & -0.122727 & -1.2695 & 0.103509 \tabularnewline
44 & -0.108169 & -1.1189 & 0.132843 \tabularnewline
45 & -0.011854 & -0.1226 & 0.451321 \tabularnewline
46 & -0.015403 & -0.1593 & 0.436854 \tabularnewline
47 & 0.023927 & 0.2475 & 0.402496 \tabularnewline
48 & -0.066742 & -0.6904 & 0.245725 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=143122&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]1[/C][C]0.361502[/C][C]3.7394[/C][C]0.000149[/C][/ROW]
[ROW][C]2[/C][C]-0.430261[/C][C]-4.4507[/C][C]1.1e-05[/C][/ROW]
[ROW][C]3[/C][C]-0.383755[/C][C]-3.9696[/C][C]6.5e-05[/C][/ROW]
[ROW][C]4[/C][C]-0.198183[/C][C]-2.05[/C][C]0.021404[/C][/ROW]
[ROW][C]5[/C][C]0.074661[/C][C]0.7723[/C][C]0.22082[/C][/ROW]
[ROW][C]6[/C][C]0.151684[/C][C]1.569[/C][C]0.059797[/C][/ROW]
[ROW][C]7[/C][C]-0.131044[/C][C]-1.3555[/C][C]0.089052[/C][/ROW]
[ROW][C]8[/C][C]-0.150115[/C][C]-1.5528[/C][C]0.061712[/C][/ROW]
[ROW][C]9[/C][C]-0.025935[/C][C]-0.2683[/C][C]0.394502[/C][/ROW]
[ROW][C]10[/C][C]-0.031948[/C][C]-0.3305[/C][C]0.370845[/C][/ROW]
[ROW][C]11[/C][C]0.084379[/C][C]0.8728[/C][C]0.192357[/C][/ROW]
[ROW][C]12[/C][C]0.393252[/C][C]4.0678[/C][C]4.5e-05[/C][/ROW]
[ROW][C]13[/C][C]-0.393254[/C][C]-4.0679[/C][C]4.5e-05[/C][/ROW]
[ROW][C]14[/C][C]0.142212[/C][C]1.4711[/C][C]0.072105[/C][/ROW]
[ROW][C]15[/C][C]0.222702[/C][C]2.3036[/C][C]0.011587[/C][/ROW]
[ROW][C]16[/C][C]-0.023777[/C][C]-0.246[/C][C]0.403095[/C][/ROW]
[ROW][C]17[/C][C]-0.092713[/C][C]-0.959[/C][C]0.169853[/C][/ROW]
[ROW][C]18[/C][C]-0.067483[/C][C]-0.698[/C][C]0.243331[/C][/ROW]
[ROW][C]19[/C][C]-0.064781[/C][C]-0.6701[/C][C]0.252117[/C][/ROW]
[ROW][C]20[/C][C]0.031736[/C][C]0.3283[/C][C]0.371673[/C][/ROW]
[ROW][C]21[/C][C]-0.137069[/C][C]-1.4179[/C][C]0.07957[/C][/ROW]
[ROW][C]22[/C][C]-0.113036[/C][C]-1.1693[/C][C]0.12245[/C][/ROW]
[ROW][C]23[/C][C]-0.12921[/C][C]-1.3366[/C][C]0.092101[/C][/ROW]
[ROW][C]24[/C][C]0.157992[/C][C]1.6343[/C][C]0.052569[/C][/ROW]
[ROW][C]25[/C][C]-0.129643[/C][C]-1.341[/C][C]0.091373[/C][/ROW]
[ROW][C]26[/C][C]0.006327[/C][C]0.0655[/C][C]0.473969[/C][/ROW]
[ROW][C]27[/C][C]-0.096336[/C][C]-0.9965[/C][C]0.160625[/C][/ROW]
[ROW][C]28[/C][C]0.026262[/C][C]0.2717[/C][C]0.393204[/C][/ROW]
[ROW][C]29[/C][C]-0.057393[/C][C]-0.5937[/C][C]0.27699[/C][/ROW]
[ROW][C]30[/C][C]-0.09341[/C][C]-0.9662[/C][C]0.168051[/C][/ROW]
[ROW][C]31[/C][C]0.039323[/C][C]0.4068[/C][C]0.342497[/C][/ROW]
[ROW][C]32[/C][C]-0.103827[/C][C]-1.074[/C][C]0.142619[/C][/ROW]
[ROW][C]33[/C][C]-0.009763[/C][C]-0.101[/C][C]0.459874[/C][/ROW]
[ROW][C]34[/C][C]0.048782[/C][C]0.5046[/C][C]0.307438[/C][/ROW]
[ROW][C]35[/C][C]-0.008939[/C][C]-0.0925[/C][C]0.463252[/C][/ROW]
[ROW][C]36[/C][C]-0.042742[/C][C]-0.4421[/C][C]0.329643[/C][/ROW]
[ROW][C]37[/C][C]-0.114481[/C][C]-1.1842[/C][C]0.119479[/C][/ROW]
[ROW][C]38[/C][C]0.001239[/C][C]0.0128[/C][C]0.494899[/C][/ROW]
[ROW][C]39[/C][C]0.050936[/C][C]0.5269[/C][C]0.29968[/C][/ROW]
[ROW][C]40[/C][C]0.029267[/C][C]0.3027[/C][C]0.381336[/C][/ROW]
[ROW][C]41[/C][C]0.13912[/C][C]1.4391[/C][C]0.076525[/C][/ROW]
[ROW][C]42[/C][C]0.054064[/C][C]0.5592[/C][C]0.288583[/C][/ROW]
[ROW][C]43[/C][C]-0.122727[/C][C]-1.2695[/C][C]0.103509[/C][/ROW]
[ROW][C]44[/C][C]-0.108169[/C][C]-1.1189[/C][C]0.132843[/C][/ROW]
[ROW][C]45[/C][C]-0.011854[/C][C]-0.1226[/C][C]0.451321[/C][/ROW]
[ROW][C]46[/C][C]-0.015403[/C][C]-0.1593[/C][C]0.436854[/C][/ROW]
[ROW][C]47[/C][C]0.023927[/C][C]0.2475[/C][C]0.402496[/C][/ROW]
[ROW][C]48[/C][C]-0.066742[/C][C]-0.6904[/C][C]0.245725[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=143122&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=143122&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
10.3615023.73940.000149
2-0.430261-4.45071.1e-05
3-0.383755-3.96966.5e-05
4-0.198183-2.050.021404
50.0746610.77230.22082
60.1516841.5690.059797
7-0.131044-1.35550.089052
8-0.150115-1.55280.061712
9-0.025935-0.26830.394502
10-0.031948-0.33050.370845
110.0843790.87280.192357
120.3932524.06784.5e-05
13-0.393254-4.06794.5e-05
140.1422121.47110.072105
150.2227022.30360.011587
16-0.023777-0.2460.403095
17-0.092713-0.9590.169853
18-0.067483-0.6980.243331
19-0.064781-0.67010.252117
200.0317360.32830.371673
21-0.137069-1.41790.07957
22-0.113036-1.16930.12245
23-0.12921-1.33660.092101
240.1579921.63430.052569
25-0.129643-1.3410.091373
260.0063270.06550.473969
27-0.096336-0.99650.160625
280.0262620.27170.393204
29-0.057393-0.59370.27699
30-0.09341-0.96620.168051
310.0393230.40680.342497
32-0.103827-1.0740.142619
33-0.009763-0.1010.459874
340.0487820.50460.307438
35-0.008939-0.09250.463252
36-0.042742-0.44210.329643
37-0.114481-1.18420.119479
380.0012390.01280.494899
390.0509360.52690.29968
400.0292670.30270.381336
410.139121.43910.076525
420.0540640.55920.288583
43-0.122727-1.26950.103509
44-0.108169-1.11890.132843
45-0.011854-0.12260.451321
46-0.015403-0.15930.436854
470.0239270.24750.402496
48-0.066742-0.69040.245725



Parameters (Session):
par1 = 48 ; par2 = 1 ; par3 = 1 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ;
Parameters (R input):
par1 = 48 ; par2 = 1 ; par3 = 1 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ; par8 = ;
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 (par6 == 'White Noise') par6 <- 'white' else par6 <- 'ma'
par7 <- as.numeric(par7)
if (par8 != '') par8 <- as.numeric(par8)
ox <- x
if (par8 == '') {
if (par2 == 0) {
x <- log(x)
} else {
x <- (x ^ par2 - 1) / par2
}
} else {
x <- log(x,base=par8)
}
if (par3 > 0) x <- diff(x,lag=1,difference=par3)
if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
bitmap(file='picts.png')
op <- par(mfrow=c(2,1))
plot(ox,type='l',main='Original Time Series',xlab='time',ylab='value')
if (par8=='') {
mytitle <- paste('Working Time Series (lambda=',par2,', d=',par3,', D=',par4,')',sep='')
mysub <- paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep='')
} else {
mytitle <- paste('Working Time Series (base=',par8,', d=',par3,', D=',par4,')',sep='')
mysub <- paste('(base=',par8,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep='')
}
plot(x,type='l', main=mytitle,xlab='time',ylab='value')
par(op)
dev.off()
bitmap(file='pic1.png')
racf <- acf(x, par1, main='Autocorrelation', xlab='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=mysub)
dev.off()
bitmap(file='pic2.png')
rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF',sub=mysub)
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 2:(par1+1)) {
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(abs(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,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(abs(mytstat),lengthx),6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')