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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, 17 Dec 2008 01:41:55 -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/2008/Dec/17/t12295033721qj87btmmjbxr7u.htm/, Retrieved Sun, 19 May 2024 07:17:09 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=34277, Retrieved Sun, 19 May 2024 07:17:09 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact191
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Spectral Analysis] [Spectral zonder diff] [2008-12-10 13:17:25] [74be16979710d4c4e7c6647856088456]
- RMP   [(Partial) Autocorrelation Function] [] [2008-12-17 08:31:56] [74be16979710d4c4e7c6647856088456]
-   P       [(Partial) Autocorrelation Function] [] [2008-12-17 08:41:55] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataseries X:
6.4
6.8
7.5
7.5
7.6
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
8.2
8.3
8.4
8.4
8.4
8.6
8.9
8.8
8.3
7.5
7.2
7.5
8.8
9.3
9.3
8.7
8.2
8.3
8.5
8.6
8.6
8.2
8.1
8
8.6
8.7
8.8
8.5
8.4
8.5
8.7
8.7
8.6
8.5
8.3
8.1
8.2
8.1
8.1
7.9
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
6.6
6.2
6.2
6.8
6.9




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\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 & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=34277&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]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=34277&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=34277&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 time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.4443993.77080.000165
2-0.106268-0.90170.185107
3-0.545504-4.62888e-06
4-0.582191-4.94012e-06
5-0.178088-1.51110.067566
60.149741.27060.103984
70.308162.61480.005433
80.26882.28080.012759
90.0869650.73790.231479
10-0.080067-0.67940.249535
11-0.14163-1.20180.116695
12-0.183046-1.55320.062381
13-0.04169-0.35370.362281
140.0544360.46190.32277
150.1244521.0560.147248
160.0762520.6470.259839
17-0.066109-0.5610.288285
18-0.012541-0.10640.457775
19-0.048406-0.41070.341244
200.0750640.63690.263092
210.0661320.56110.288219
22-0.018869-0.16010.436623
23-0.075909-0.64410.260775
24-0.145696-1.23630.110187
25-0.020582-0.17460.430925
260.0893180.75790.225495
270.0990950.84090.201607
28-9.1e-05-8e-040.499692
29-0.154582-1.31170.096898
30-0.192092-1.630.05374
310.0282120.23940.405744
320.1985561.68480.048178
330.2513022.13240.018194
340.1161370.98550.163851
35-0.130254-1.10520.136367
36-0.216077-1.83350.035432
37-0.196432-1.66680.049951
380.0049570.04210.483283
390.1066340.90480.18429
400.1556791.3210.095346
410.1465411.24340.108869
42-0.016173-0.13720.445614
43-0.101791-0.86370.195304
44-0.180418-1.53090.065088
45-0.096423-0.81820.207979
460.0428770.36380.358527
470.1453761.23360.110689
480.1335661.13330.130414
490.0619290.52550.300431
50-0.059873-0.5080.306489
51-0.06901-0.58560.279997
52-0.057589-0.48870.313285
530.006670.05660.47751
540.0318670.27040.393814
550.002170.01840.49268
560.0189370.16070.436394
57-0.031113-0.2640.396266
58-0.020308-0.17230.431835
590.0277090.23510.407391
60-0.006716-0.0570.477357

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.444399 & 3.7708 & 0.000165 \tabularnewline
2 & -0.106268 & -0.9017 & 0.185107 \tabularnewline
3 & -0.545504 & -4.6288 & 8e-06 \tabularnewline
4 & -0.582191 & -4.9401 & 2e-06 \tabularnewline
5 & -0.178088 & -1.5111 & 0.067566 \tabularnewline
6 & 0.14974 & 1.2706 & 0.103984 \tabularnewline
7 & 0.30816 & 2.6148 & 0.005433 \tabularnewline
8 & 0.2688 & 2.2808 & 0.012759 \tabularnewline
9 & 0.086965 & 0.7379 & 0.231479 \tabularnewline
10 & -0.080067 & -0.6794 & 0.249535 \tabularnewline
11 & -0.14163 & -1.2018 & 0.116695 \tabularnewline
12 & -0.183046 & -1.5532 & 0.062381 \tabularnewline
13 & -0.04169 & -0.3537 & 0.362281 \tabularnewline
14 & 0.054436 & 0.4619 & 0.32277 \tabularnewline
15 & 0.124452 & 1.056 & 0.147248 \tabularnewline
16 & 0.076252 & 0.647 & 0.259839 \tabularnewline
17 & -0.066109 & -0.561 & 0.288285 \tabularnewline
18 & -0.012541 & -0.1064 & 0.457775 \tabularnewline
19 & -0.048406 & -0.4107 & 0.341244 \tabularnewline
20 & 0.075064 & 0.6369 & 0.263092 \tabularnewline
21 & 0.066132 & 0.5611 & 0.288219 \tabularnewline
22 & -0.018869 & -0.1601 & 0.436623 \tabularnewline
23 & -0.075909 & -0.6441 & 0.260775 \tabularnewline
24 & -0.145696 & -1.2363 & 0.110187 \tabularnewline
25 & -0.020582 & -0.1746 & 0.430925 \tabularnewline
26 & 0.089318 & 0.7579 & 0.225495 \tabularnewline
27 & 0.099095 & 0.8409 & 0.201607 \tabularnewline
28 & -9.1e-05 & -8e-04 & 0.499692 \tabularnewline
29 & -0.154582 & -1.3117 & 0.096898 \tabularnewline
30 & -0.192092 & -1.63 & 0.05374 \tabularnewline
31 & 0.028212 & 0.2394 & 0.405744 \tabularnewline
32 & 0.198556 & 1.6848 & 0.048178 \tabularnewline
33 & 0.251302 & 2.1324 & 0.018194 \tabularnewline
34 & 0.116137 & 0.9855 & 0.163851 \tabularnewline
35 & -0.130254 & -1.1052 & 0.136367 \tabularnewline
36 & -0.216077 & -1.8335 & 0.035432 \tabularnewline
37 & -0.196432 & -1.6668 & 0.049951 \tabularnewline
38 & 0.004957 & 0.0421 & 0.483283 \tabularnewline
39 & 0.106634 & 0.9048 & 0.18429 \tabularnewline
40 & 0.155679 & 1.321 & 0.095346 \tabularnewline
41 & 0.146541 & 1.2434 & 0.108869 \tabularnewline
42 & -0.016173 & -0.1372 & 0.445614 \tabularnewline
43 & -0.101791 & -0.8637 & 0.195304 \tabularnewline
44 & -0.180418 & -1.5309 & 0.065088 \tabularnewline
45 & -0.096423 & -0.8182 & 0.207979 \tabularnewline
46 & 0.042877 & 0.3638 & 0.358527 \tabularnewline
47 & 0.145376 & 1.2336 & 0.110689 \tabularnewline
48 & 0.133566 & 1.1333 & 0.130414 \tabularnewline
49 & 0.061929 & 0.5255 & 0.300431 \tabularnewline
50 & -0.059873 & -0.508 & 0.306489 \tabularnewline
51 & -0.06901 & -0.5856 & 0.279997 \tabularnewline
52 & -0.057589 & -0.4887 & 0.313285 \tabularnewline
53 & 0.00667 & 0.0566 & 0.47751 \tabularnewline
54 & 0.031867 & 0.2704 & 0.393814 \tabularnewline
55 & 0.00217 & 0.0184 & 0.49268 \tabularnewline
56 & 0.018937 & 0.1607 & 0.436394 \tabularnewline
57 & -0.031113 & -0.264 & 0.396266 \tabularnewline
58 & -0.020308 & -0.1723 & 0.431835 \tabularnewline
59 & 0.027709 & 0.2351 & 0.407391 \tabularnewline
60 & -0.006716 & -0.057 & 0.477357 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=34277&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]0.444399[/C][C]3.7708[/C][C]0.000165[/C][/ROW]
[ROW][C]2[/C][C]-0.106268[/C][C]-0.9017[/C][C]0.185107[/C][/ROW]
[ROW][C]3[/C][C]-0.545504[/C][C]-4.6288[/C][C]8e-06[/C][/ROW]
[ROW][C]4[/C][C]-0.582191[/C][C]-4.9401[/C][C]2e-06[/C][/ROW]
[ROW][C]5[/C][C]-0.178088[/C][C]-1.5111[/C][C]0.067566[/C][/ROW]
[ROW][C]6[/C][C]0.14974[/C][C]1.2706[/C][C]0.103984[/C][/ROW]
[ROW][C]7[/C][C]0.30816[/C][C]2.6148[/C][C]0.005433[/C][/ROW]
[ROW][C]8[/C][C]0.2688[/C][C]2.2808[/C][C]0.012759[/C][/ROW]
[ROW][C]9[/C][C]0.086965[/C][C]0.7379[/C][C]0.231479[/C][/ROW]
[ROW][C]10[/C][C]-0.080067[/C][C]-0.6794[/C][C]0.249535[/C][/ROW]
[ROW][C]11[/C][C]-0.14163[/C][C]-1.2018[/C][C]0.116695[/C][/ROW]
[ROW][C]12[/C][C]-0.183046[/C][C]-1.5532[/C][C]0.062381[/C][/ROW]
[ROW][C]13[/C][C]-0.04169[/C][C]-0.3537[/C][C]0.362281[/C][/ROW]
[ROW][C]14[/C][C]0.054436[/C][C]0.4619[/C][C]0.32277[/C][/ROW]
[ROW][C]15[/C][C]0.124452[/C][C]1.056[/C][C]0.147248[/C][/ROW]
[ROW][C]16[/C][C]0.076252[/C][C]0.647[/C][C]0.259839[/C][/ROW]
[ROW][C]17[/C][C]-0.066109[/C][C]-0.561[/C][C]0.288285[/C][/ROW]
[ROW][C]18[/C][C]-0.012541[/C][C]-0.1064[/C][C]0.457775[/C][/ROW]
[ROW][C]19[/C][C]-0.048406[/C][C]-0.4107[/C][C]0.341244[/C][/ROW]
[ROW][C]20[/C][C]0.075064[/C][C]0.6369[/C][C]0.263092[/C][/ROW]
[ROW][C]21[/C][C]0.066132[/C][C]0.5611[/C][C]0.288219[/C][/ROW]
[ROW][C]22[/C][C]-0.018869[/C][C]-0.1601[/C][C]0.436623[/C][/ROW]
[ROW][C]23[/C][C]-0.075909[/C][C]-0.6441[/C][C]0.260775[/C][/ROW]
[ROW][C]24[/C][C]-0.145696[/C][C]-1.2363[/C][C]0.110187[/C][/ROW]
[ROW][C]25[/C][C]-0.020582[/C][C]-0.1746[/C][C]0.430925[/C][/ROW]
[ROW][C]26[/C][C]0.089318[/C][C]0.7579[/C][C]0.225495[/C][/ROW]
[ROW][C]27[/C][C]0.099095[/C][C]0.8409[/C][C]0.201607[/C][/ROW]
[ROW][C]28[/C][C]-9.1e-05[/C][C]-8e-04[/C][C]0.499692[/C][/ROW]
[ROW][C]29[/C][C]-0.154582[/C][C]-1.3117[/C][C]0.096898[/C][/ROW]
[ROW][C]30[/C][C]-0.192092[/C][C]-1.63[/C][C]0.05374[/C][/ROW]
[ROW][C]31[/C][C]0.028212[/C][C]0.2394[/C][C]0.405744[/C][/ROW]
[ROW][C]32[/C][C]0.198556[/C][C]1.6848[/C][C]0.048178[/C][/ROW]
[ROW][C]33[/C][C]0.251302[/C][C]2.1324[/C][C]0.018194[/C][/ROW]
[ROW][C]34[/C][C]0.116137[/C][C]0.9855[/C][C]0.163851[/C][/ROW]
[ROW][C]35[/C][C]-0.130254[/C][C]-1.1052[/C][C]0.136367[/C][/ROW]
[ROW][C]36[/C][C]-0.216077[/C][C]-1.8335[/C][C]0.035432[/C][/ROW]
[ROW][C]37[/C][C]-0.196432[/C][C]-1.6668[/C][C]0.049951[/C][/ROW]
[ROW][C]38[/C][C]0.004957[/C][C]0.0421[/C][C]0.483283[/C][/ROW]
[ROW][C]39[/C][C]0.106634[/C][C]0.9048[/C][C]0.18429[/C][/ROW]
[ROW][C]40[/C][C]0.155679[/C][C]1.321[/C][C]0.095346[/C][/ROW]
[ROW][C]41[/C][C]0.146541[/C][C]1.2434[/C][C]0.108869[/C][/ROW]
[ROW][C]42[/C][C]-0.016173[/C][C]-0.1372[/C][C]0.445614[/C][/ROW]
[ROW][C]43[/C][C]-0.101791[/C][C]-0.8637[/C][C]0.195304[/C][/ROW]
[ROW][C]44[/C][C]-0.180418[/C][C]-1.5309[/C][C]0.065088[/C][/ROW]
[ROW][C]45[/C][C]-0.096423[/C][C]-0.8182[/C][C]0.207979[/C][/ROW]
[ROW][C]46[/C][C]0.042877[/C][C]0.3638[/C][C]0.358527[/C][/ROW]
[ROW][C]47[/C][C]0.145376[/C][C]1.2336[/C][C]0.110689[/C][/ROW]
[ROW][C]48[/C][C]0.133566[/C][C]1.1333[/C][C]0.130414[/C][/ROW]
[ROW][C]49[/C][C]0.061929[/C][C]0.5255[/C][C]0.300431[/C][/ROW]
[ROW][C]50[/C][C]-0.059873[/C][C]-0.508[/C][C]0.306489[/C][/ROW]
[ROW][C]51[/C][C]-0.06901[/C][C]-0.5856[/C][C]0.279997[/C][/ROW]
[ROW][C]52[/C][C]-0.057589[/C][C]-0.4887[/C][C]0.313285[/C][/ROW]
[ROW][C]53[/C][C]0.00667[/C][C]0.0566[/C][C]0.47751[/C][/ROW]
[ROW][C]54[/C][C]0.031867[/C][C]0.2704[/C][C]0.393814[/C][/ROW]
[ROW][C]55[/C][C]0.00217[/C][C]0.0184[/C][C]0.49268[/C][/ROW]
[ROW][C]56[/C][C]0.018937[/C][C]0.1607[/C][C]0.436394[/C][/ROW]
[ROW][C]57[/C][C]-0.031113[/C][C]-0.264[/C][C]0.396266[/C][/ROW]
[ROW][C]58[/C][C]-0.020308[/C][C]-0.1723[/C][C]0.431835[/C][/ROW]
[ROW][C]59[/C][C]0.027709[/C][C]0.2351[/C][C]0.407391[/C][/ROW]
[ROW][C]60[/C][C]-0.006716[/C][C]-0.057[/C][C]0.477357[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=34277&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=34277&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
10.4443993.77080.000165
2-0.106268-0.90170.185107
3-0.545504-4.62888e-06
4-0.582191-4.94012e-06
5-0.178088-1.51110.067566
60.149741.27060.103984
70.308162.61480.005433
80.26882.28080.012759
90.0869650.73790.231479
10-0.080067-0.67940.249535
11-0.14163-1.20180.116695
12-0.183046-1.55320.062381
13-0.04169-0.35370.362281
140.0544360.46190.32277
150.1244521.0560.147248
160.0762520.6470.259839
17-0.066109-0.5610.288285
18-0.012541-0.10640.457775
19-0.048406-0.41070.341244
200.0750640.63690.263092
210.0661320.56110.288219
22-0.018869-0.16010.436623
23-0.075909-0.64410.260775
24-0.145696-1.23630.110187
25-0.020582-0.17460.430925
260.0893180.75790.225495
270.0990950.84090.201607
28-9.1e-05-8e-040.499692
29-0.154582-1.31170.096898
30-0.192092-1.630.05374
310.0282120.23940.405744
320.1985561.68480.048178
330.2513022.13240.018194
340.1161370.98550.163851
35-0.130254-1.10520.136367
36-0.216077-1.83350.035432
37-0.196432-1.66680.049951
380.0049570.04210.483283
390.1066340.90480.18429
400.1556791.3210.095346
410.1465411.24340.108869
42-0.016173-0.13720.445614
43-0.101791-0.86370.195304
44-0.180418-1.53090.065088
45-0.096423-0.81820.207979
460.0428770.36380.358527
470.1453761.23360.110689
480.1335661.13330.130414
490.0619290.52550.300431
50-0.059873-0.5080.306489
51-0.06901-0.58560.279997
52-0.057589-0.48870.313285
530.006670.05660.47751
540.0318670.27040.393814
550.002170.01840.49268
560.0189370.16070.436394
57-0.031113-0.2640.396266
58-0.020308-0.17230.431835
590.0277090.23510.407391
60-0.006716-0.0570.477357







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.4443993.77080.000165
2-0.378511-3.21180.000987
3-0.454078-3.8530.000125
4-0.276011-2.3420.010974
50.045670.38750.349756
6-0.172628-1.46480.073665
7-0.154835-1.31380.09654
80.003990.03390.486543
90.0210050.17820.42952
10-0.048908-0.4150.33969
110.023190.19680.42228
12-0.096714-0.82060.207279
130.0884820.75080.227612
14-0.002866-0.02430.490333
150.0211110.17910.429168
16-0.077896-0.6610.255371
17-0.091499-0.77640.220031
180.184831.56830.060594
19-0.106222-0.90130.18521
200.1181921.00290.159636
21-0.004382-0.03720.485221
220.0017790.01510.493998
23-0.026338-0.22350.411897
24-0.100457-0.85240.198409
250.1089090.92410.179254
26-0.028228-0.23950.405691
27-0.085556-0.7260.235107
28-0.154506-1.3110.097007
29-0.232242-1.97060.026305
30-0.100982-0.85690.197182
310.0502070.4260.335681
320.0242350.20560.418825
33-0.055651-0.47220.319102
340.018850.160.436684
350.0704280.59760.275989
36-0.030132-0.25570.399463
370.0532140.45150.326479
380.1114560.94570.173723
39-0.043246-0.3670.357366
400.0203790.17290.4316
410.07840.66520.254009
42-0.060766-0.51560.30385
43-0.019475-0.16530.434604
44-0.009884-0.08390.466698
450.063970.54280.294472
46-0.093828-0.79620.214278
470.0088520.07510.470167
480.0193440.16410.435042
490.0106250.09020.464205
500.0338390.28710.387417
510.0663320.56280.287646
52-0.072254-0.61310.270873
530.0248040.21050.416947
54-0.046585-0.39530.3469
550.0618140.52450.300769
56-0.008938-0.07580.469878
57-0.008494-0.07210.471371
58-0.006814-0.05780.477027
590.0090140.07650.469623
60-0.018957-0.16090.436327

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.444399 & 3.7708 & 0.000165 \tabularnewline
2 & -0.378511 & -3.2118 & 0.000987 \tabularnewline
3 & -0.454078 & -3.853 & 0.000125 \tabularnewline
4 & -0.276011 & -2.342 & 0.010974 \tabularnewline
5 & 0.04567 & 0.3875 & 0.349756 \tabularnewline
6 & -0.172628 & -1.4648 & 0.073665 \tabularnewline
7 & -0.154835 & -1.3138 & 0.09654 \tabularnewline
8 & 0.00399 & 0.0339 & 0.486543 \tabularnewline
9 & 0.021005 & 0.1782 & 0.42952 \tabularnewline
10 & -0.048908 & -0.415 & 0.33969 \tabularnewline
11 & 0.02319 & 0.1968 & 0.42228 \tabularnewline
12 & -0.096714 & -0.8206 & 0.207279 \tabularnewline
13 & 0.088482 & 0.7508 & 0.227612 \tabularnewline
14 & -0.002866 & -0.0243 & 0.490333 \tabularnewline
15 & 0.021111 & 0.1791 & 0.429168 \tabularnewline
16 & -0.077896 & -0.661 & 0.255371 \tabularnewline
17 & -0.091499 & -0.7764 & 0.220031 \tabularnewline
18 & 0.18483 & 1.5683 & 0.060594 \tabularnewline
19 & -0.106222 & -0.9013 & 0.18521 \tabularnewline
20 & 0.118192 & 1.0029 & 0.159636 \tabularnewline
21 & -0.004382 & -0.0372 & 0.485221 \tabularnewline
22 & 0.001779 & 0.0151 & 0.493998 \tabularnewline
23 & -0.026338 & -0.2235 & 0.411897 \tabularnewline
24 & -0.100457 & -0.8524 & 0.198409 \tabularnewline
25 & 0.108909 & 0.9241 & 0.179254 \tabularnewline
26 & -0.028228 & -0.2395 & 0.405691 \tabularnewline
27 & -0.085556 & -0.726 & 0.235107 \tabularnewline
28 & -0.154506 & -1.311 & 0.097007 \tabularnewline
29 & -0.232242 & -1.9706 & 0.026305 \tabularnewline
30 & -0.100982 & -0.8569 & 0.197182 \tabularnewline
31 & 0.050207 & 0.426 & 0.335681 \tabularnewline
32 & 0.024235 & 0.2056 & 0.418825 \tabularnewline
33 & -0.055651 & -0.4722 & 0.319102 \tabularnewline
34 & 0.01885 & 0.16 & 0.436684 \tabularnewline
35 & 0.070428 & 0.5976 & 0.275989 \tabularnewline
36 & -0.030132 & -0.2557 & 0.399463 \tabularnewline
37 & 0.053214 & 0.4515 & 0.326479 \tabularnewline
38 & 0.111456 & 0.9457 & 0.173723 \tabularnewline
39 & -0.043246 & -0.367 & 0.357366 \tabularnewline
40 & 0.020379 & 0.1729 & 0.4316 \tabularnewline
41 & 0.0784 & 0.6652 & 0.254009 \tabularnewline
42 & -0.060766 & -0.5156 & 0.30385 \tabularnewline
43 & -0.019475 & -0.1653 & 0.434604 \tabularnewline
44 & -0.009884 & -0.0839 & 0.466698 \tabularnewline
45 & 0.06397 & 0.5428 & 0.294472 \tabularnewline
46 & -0.093828 & -0.7962 & 0.214278 \tabularnewline
47 & 0.008852 & 0.0751 & 0.470167 \tabularnewline
48 & 0.019344 & 0.1641 & 0.435042 \tabularnewline
49 & 0.010625 & 0.0902 & 0.464205 \tabularnewline
50 & 0.033839 & 0.2871 & 0.387417 \tabularnewline
51 & 0.066332 & 0.5628 & 0.287646 \tabularnewline
52 & -0.072254 & -0.6131 & 0.270873 \tabularnewline
53 & 0.024804 & 0.2105 & 0.416947 \tabularnewline
54 & -0.046585 & -0.3953 & 0.3469 \tabularnewline
55 & 0.061814 & 0.5245 & 0.300769 \tabularnewline
56 & -0.008938 & -0.0758 & 0.469878 \tabularnewline
57 & -0.008494 & -0.0721 & 0.471371 \tabularnewline
58 & -0.006814 & -0.0578 & 0.477027 \tabularnewline
59 & 0.009014 & 0.0765 & 0.469623 \tabularnewline
60 & -0.018957 & -0.1609 & 0.436327 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=34277&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]0.444399[/C][C]3.7708[/C][C]0.000165[/C][/ROW]
[ROW][C]2[/C][C]-0.378511[/C][C]-3.2118[/C][C]0.000987[/C][/ROW]
[ROW][C]3[/C][C]-0.454078[/C][C]-3.853[/C][C]0.000125[/C][/ROW]
[ROW][C]4[/C][C]-0.276011[/C][C]-2.342[/C][C]0.010974[/C][/ROW]
[ROW][C]5[/C][C]0.04567[/C][C]0.3875[/C][C]0.349756[/C][/ROW]
[ROW][C]6[/C][C]-0.172628[/C][C]-1.4648[/C][C]0.073665[/C][/ROW]
[ROW][C]7[/C][C]-0.154835[/C][C]-1.3138[/C][C]0.09654[/C][/ROW]
[ROW][C]8[/C][C]0.00399[/C][C]0.0339[/C][C]0.486543[/C][/ROW]
[ROW][C]9[/C][C]0.021005[/C][C]0.1782[/C][C]0.42952[/C][/ROW]
[ROW][C]10[/C][C]-0.048908[/C][C]-0.415[/C][C]0.33969[/C][/ROW]
[ROW][C]11[/C][C]0.02319[/C][C]0.1968[/C][C]0.42228[/C][/ROW]
[ROW][C]12[/C][C]-0.096714[/C][C]-0.8206[/C][C]0.207279[/C][/ROW]
[ROW][C]13[/C][C]0.088482[/C][C]0.7508[/C][C]0.227612[/C][/ROW]
[ROW][C]14[/C][C]-0.002866[/C][C]-0.0243[/C][C]0.490333[/C][/ROW]
[ROW][C]15[/C][C]0.021111[/C][C]0.1791[/C][C]0.429168[/C][/ROW]
[ROW][C]16[/C][C]-0.077896[/C][C]-0.661[/C][C]0.255371[/C][/ROW]
[ROW][C]17[/C][C]-0.091499[/C][C]-0.7764[/C][C]0.220031[/C][/ROW]
[ROW][C]18[/C][C]0.18483[/C][C]1.5683[/C][C]0.060594[/C][/ROW]
[ROW][C]19[/C][C]-0.106222[/C][C]-0.9013[/C][C]0.18521[/C][/ROW]
[ROW][C]20[/C][C]0.118192[/C][C]1.0029[/C][C]0.159636[/C][/ROW]
[ROW][C]21[/C][C]-0.004382[/C][C]-0.0372[/C][C]0.485221[/C][/ROW]
[ROW][C]22[/C][C]0.001779[/C][C]0.0151[/C][C]0.493998[/C][/ROW]
[ROW][C]23[/C][C]-0.026338[/C][C]-0.2235[/C][C]0.411897[/C][/ROW]
[ROW][C]24[/C][C]-0.100457[/C][C]-0.8524[/C][C]0.198409[/C][/ROW]
[ROW][C]25[/C][C]0.108909[/C][C]0.9241[/C][C]0.179254[/C][/ROW]
[ROW][C]26[/C][C]-0.028228[/C][C]-0.2395[/C][C]0.405691[/C][/ROW]
[ROW][C]27[/C][C]-0.085556[/C][C]-0.726[/C][C]0.235107[/C][/ROW]
[ROW][C]28[/C][C]-0.154506[/C][C]-1.311[/C][C]0.097007[/C][/ROW]
[ROW][C]29[/C][C]-0.232242[/C][C]-1.9706[/C][C]0.026305[/C][/ROW]
[ROW][C]30[/C][C]-0.100982[/C][C]-0.8569[/C][C]0.197182[/C][/ROW]
[ROW][C]31[/C][C]0.050207[/C][C]0.426[/C][C]0.335681[/C][/ROW]
[ROW][C]32[/C][C]0.024235[/C][C]0.2056[/C][C]0.418825[/C][/ROW]
[ROW][C]33[/C][C]-0.055651[/C][C]-0.4722[/C][C]0.319102[/C][/ROW]
[ROW][C]34[/C][C]0.01885[/C][C]0.16[/C][C]0.436684[/C][/ROW]
[ROW][C]35[/C][C]0.070428[/C][C]0.5976[/C][C]0.275989[/C][/ROW]
[ROW][C]36[/C][C]-0.030132[/C][C]-0.2557[/C][C]0.399463[/C][/ROW]
[ROW][C]37[/C][C]0.053214[/C][C]0.4515[/C][C]0.326479[/C][/ROW]
[ROW][C]38[/C][C]0.111456[/C][C]0.9457[/C][C]0.173723[/C][/ROW]
[ROW][C]39[/C][C]-0.043246[/C][C]-0.367[/C][C]0.357366[/C][/ROW]
[ROW][C]40[/C][C]0.020379[/C][C]0.1729[/C][C]0.4316[/C][/ROW]
[ROW][C]41[/C][C]0.0784[/C][C]0.6652[/C][C]0.254009[/C][/ROW]
[ROW][C]42[/C][C]-0.060766[/C][C]-0.5156[/C][C]0.30385[/C][/ROW]
[ROW][C]43[/C][C]-0.019475[/C][C]-0.1653[/C][C]0.434604[/C][/ROW]
[ROW][C]44[/C][C]-0.009884[/C][C]-0.0839[/C][C]0.466698[/C][/ROW]
[ROW][C]45[/C][C]0.06397[/C][C]0.5428[/C][C]0.294472[/C][/ROW]
[ROW][C]46[/C][C]-0.093828[/C][C]-0.7962[/C][C]0.214278[/C][/ROW]
[ROW][C]47[/C][C]0.008852[/C][C]0.0751[/C][C]0.470167[/C][/ROW]
[ROW][C]48[/C][C]0.019344[/C][C]0.1641[/C][C]0.435042[/C][/ROW]
[ROW][C]49[/C][C]0.010625[/C][C]0.0902[/C][C]0.464205[/C][/ROW]
[ROW][C]50[/C][C]0.033839[/C][C]0.2871[/C][C]0.387417[/C][/ROW]
[ROW][C]51[/C][C]0.066332[/C][C]0.5628[/C][C]0.287646[/C][/ROW]
[ROW][C]52[/C][C]-0.072254[/C][C]-0.6131[/C][C]0.270873[/C][/ROW]
[ROW][C]53[/C][C]0.024804[/C][C]0.2105[/C][C]0.416947[/C][/ROW]
[ROW][C]54[/C][C]-0.046585[/C][C]-0.3953[/C][C]0.3469[/C][/ROW]
[ROW][C]55[/C][C]0.061814[/C][C]0.5245[/C][C]0.300769[/C][/ROW]
[ROW][C]56[/C][C]-0.008938[/C][C]-0.0758[/C][C]0.469878[/C][/ROW]
[ROW][C]57[/C][C]-0.008494[/C][C]-0.0721[/C][C]0.471371[/C][/ROW]
[ROW][C]58[/C][C]-0.006814[/C][C]-0.0578[/C][C]0.477027[/C][/ROW]
[ROW][C]59[/C][C]0.009014[/C][C]0.0765[/C][C]0.469623[/C][/ROW]
[ROW][C]60[/C][C]-0.018957[/C][C]-0.1609[/C][C]0.436327[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=34277&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=34277&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
10.4443993.77080.000165
2-0.378511-3.21180.000987
3-0.454078-3.8530.000125
4-0.276011-2.3420.010974
50.045670.38750.349756
6-0.172628-1.46480.073665
7-0.154835-1.31380.09654
80.003990.03390.486543
90.0210050.17820.42952
10-0.048908-0.4150.33969
110.023190.19680.42228
12-0.096714-0.82060.207279
130.0884820.75080.227612
14-0.002866-0.02430.490333
150.0211110.17910.429168
16-0.077896-0.6610.255371
17-0.091499-0.77640.220031
180.184831.56830.060594
19-0.106222-0.90130.18521
200.1181921.00290.159636
21-0.004382-0.03720.485221
220.0017790.01510.493998
23-0.026338-0.22350.411897
24-0.100457-0.85240.198409
250.1089090.92410.179254
26-0.028228-0.23950.405691
27-0.085556-0.7260.235107
28-0.154506-1.3110.097007
29-0.232242-1.97060.026305
30-0.100982-0.85690.197182
310.0502070.4260.335681
320.0242350.20560.418825
33-0.055651-0.47220.319102
340.018850.160.436684
350.0704280.59760.275989
36-0.030132-0.25570.399463
370.0532140.45150.326479
380.1114560.94570.173723
39-0.043246-0.3670.357366
400.0203790.17290.4316
410.07840.66520.254009
42-0.060766-0.51560.30385
43-0.019475-0.16530.434604
44-0.009884-0.08390.466698
450.063970.54280.294472
46-0.093828-0.79620.214278
470.0088520.07510.470167
480.0193440.16410.435042
490.0106250.09020.464205
500.0338390.28710.387417
510.0663320.56280.287646
52-0.072254-0.61310.270873
530.0248040.21050.416947
54-0.046585-0.39530.3469
550.0618140.52450.300769
56-0.008938-0.07580.469878
57-0.008494-0.07210.471371
58-0.006814-0.05780.477027
590.0090140.07650.469623
60-0.018957-0.16090.436327



Parameters (Session):
par1 = 60 ; par2 = 1 ; par3 = 1 ; par4 = 1 ; par5 = 12 ;
Parameters (R input):
par1 = 60 ; 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 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')