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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, 21 May 2009 06:25:40 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/May/21/t1242908764f9cwqppahh4plyq.htm/, Retrieved Mon, 06 May 2024 21:23:25 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=40246, Retrieved Mon, 06 May 2024 21:23:25 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact87
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [Opgave 2, 6bis Ja...] [2009-05-21 12:25:40] [58dac46aef85915ed9cef356d57a9717] [Current]
-   PD    [(Partial) Autocorrelation Function] [Opgave 6bis, oefe...] [2009-06-02 10:13:23] [c8528bac4a55a95c146713266fd5749f]
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Dataseries X:
11310
64305
15310
37299
21302
61308
72300
26303
18301
54305
66309
50301
31298
52291
87286
81288
14293
90302
50306
15310
44310
26314
98313
76310
25313
48309
95307
10320
87327
63328
34333
90333
81332
7342
30424
13344
88347
40339
23330
1339
10341
46342
81342
2342
76350
35368
93367
88377
39376
41366
77375
56382
79397
26385
73397
28404
98413
73414
47423
52431
24441
92439
90441
441
13448
18458
18459
69477
41491
10492
73508
82515
13525
55533
19550
85558
57563
60570
49568
51570
26561
61558
78548
77537
539
18540
47542
86542
81544
16543
22538
25538
99527
63518
95508
65496
5488
96475
81465
5463
81458
74445
21434
67427
27418
81407
82395
97359




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=40246&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]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=40246&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=40246&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'Sir Ronald Aylmer Fisher' @ 193.190.124.24







Autocorrelation Function
Time lag kACF(k)T-STATP-value
1-0.066225-0.68820.246392
2-0.143889-1.49530.068871
3-0.043528-0.45240.325961
4-0.007133-0.07410.470525
50.2087482.16940.016123
60.1619151.68270.047664
7-0.270033-2.80630.002973
8-0.005144-0.05350.478732
9-0.039086-0.40620.342701
100.0303430.31530.376559
11-0.015749-0.16370.43515
12-0.037296-0.38760.34954
13-0.120425-1.25150.106729
140.0283680.29480.384354
150.0488480.50760.30637
160.0056680.05890.476569
17-0.114415-1.1890.118516
18-0.089825-0.93350.176326
190.0333820.34690.364664
200.053190.55280.290783
210.0528760.54950.291898
22-0.09965-1.03560.151354
23-0.148129-1.53940.063316
240.0334630.34780.364348
250.1496971.55570.061353
260.060190.62550.266476
270.0239340.24870.402022
28-0.169866-1.76530.04017
29-0.078653-0.81740.207753
300.1639891.70420.045607
310.1273391.32340.094257
32-0.04988-0.51840.302631
330.0419960.43640.331697
34-0.113391-1.17840.120614
350.0378840.39370.347289
360.1719061.78650.038412
37-0.072446-0.75290.226581
38-0.129247-1.34320.091016
390.1318251.370.086769
40-0.055574-0.57750.282387
410.070750.73530.23189
42-0.083776-0.87060.192944
43-0.145335-1.51040.066935
44-0.003363-0.03490.486094
450.1149511.19460.117428
460.0248770.25850.398246
470.0536640.55770.289106
48-0.048866-0.50780.306305
49-0.081025-0.8420.200814
500.0282930.2940.384649
510.1502511.56150.060671
52-0.097256-1.01070.157207
530.037360.38830.349295
54-0.146304-1.52040.065661
55-0.036323-0.37750.353277
560.1416091.47160.072013
57-0.022714-0.2360.406922
58-0.076351-0.79350.214623
59-0.039499-0.41050.34113
600.0132420.13760.445402

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & -0.066225 & -0.6882 & 0.246392 \tabularnewline
2 & -0.143889 & -1.4953 & 0.068871 \tabularnewline
3 & -0.043528 & -0.4524 & 0.325961 \tabularnewline
4 & -0.007133 & -0.0741 & 0.470525 \tabularnewline
5 & 0.208748 & 2.1694 & 0.016123 \tabularnewline
6 & 0.161915 & 1.6827 & 0.047664 \tabularnewline
7 & -0.270033 & -2.8063 & 0.002973 \tabularnewline
8 & -0.005144 & -0.0535 & 0.478732 \tabularnewline
9 & -0.039086 & -0.4062 & 0.342701 \tabularnewline
10 & 0.030343 & 0.3153 & 0.376559 \tabularnewline
11 & -0.015749 & -0.1637 & 0.43515 \tabularnewline
12 & -0.037296 & -0.3876 & 0.34954 \tabularnewline
13 & -0.120425 & -1.2515 & 0.106729 \tabularnewline
14 & 0.028368 & 0.2948 & 0.384354 \tabularnewline
15 & 0.048848 & 0.5076 & 0.30637 \tabularnewline
16 & 0.005668 & 0.0589 & 0.476569 \tabularnewline
17 & -0.114415 & -1.189 & 0.118516 \tabularnewline
18 & -0.089825 & -0.9335 & 0.176326 \tabularnewline
19 & 0.033382 & 0.3469 & 0.364664 \tabularnewline
20 & 0.05319 & 0.5528 & 0.290783 \tabularnewline
21 & 0.052876 & 0.5495 & 0.291898 \tabularnewline
22 & -0.09965 & -1.0356 & 0.151354 \tabularnewline
23 & -0.148129 & -1.5394 & 0.063316 \tabularnewline
24 & 0.033463 & 0.3478 & 0.364348 \tabularnewline
25 & 0.149697 & 1.5557 & 0.061353 \tabularnewline
26 & 0.06019 & 0.6255 & 0.266476 \tabularnewline
27 & 0.023934 & 0.2487 & 0.402022 \tabularnewline
28 & -0.169866 & -1.7653 & 0.04017 \tabularnewline
29 & -0.078653 & -0.8174 & 0.207753 \tabularnewline
30 & 0.163989 & 1.7042 & 0.045607 \tabularnewline
31 & 0.127339 & 1.3234 & 0.094257 \tabularnewline
32 & -0.04988 & -0.5184 & 0.302631 \tabularnewline
33 & 0.041996 & 0.4364 & 0.331697 \tabularnewline
34 & -0.113391 & -1.1784 & 0.120614 \tabularnewline
35 & 0.037884 & 0.3937 & 0.347289 \tabularnewline
36 & 0.171906 & 1.7865 & 0.038412 \tabularnewline
37 & -0.072446 & -0.7529 & 0.226581 \tabularnewline
38 & -0.129247 & -1.3432 & 0.091016 \tabularnewline
39 & 0.131825 & 1.37 & 0.086769 \tabularnewline
40 & -0.055574 & -0.5775 & 0.282387 \tabularnewline
41 & 0.07075 & 0.7353 & 0.23189 \tabularnewline
42 & -0.083776 & -0.8706 & 0.192944 \tabularnewline
43 & -0.145335 & -1.5104 & 0.066935 \tabularnewline
44 & -0.003363 & -0.0349 & 0.486094 \tabularnewline
45 & 0.114951 & 1.1946 & 0.117428 \tabularnewline
46 & 0.024877 & 0.2585 & 0.398246 \tabularnewline
47 & 0.053664 & 0.5577 & 0.289106 \tabularnewline
48 & -0.048866 & -0.5078 & 0.306305 \tabularnewline
49 & -0.081025 & -0.842 & 0.200814 \tabularnewline
50 & 0.028293 & 0.294 & 0.384649 \tabularnewline
51 & 0.150251 & 1.5615 & 0.060671 \tabularnewline
52 & -0.097256 & -1.0107 & 0.157207 \tabularnewline
53 & 0.03736 & 0.3883 & 0.349295 \tabularnewline
54 & -0.146304 & -1.5204 & 0.065661 \tabularnewline
55 & -0.036323 & -0.3775 & 0.353277 \tabularnewline
56 & 0.141609 & 1.4716 & 0.072013 \tabularnewline
57 & -0.022714 & -0.236 & 0.406922 \tabularnewline
58 & -0.076351 & -0.7935 & 0.214623 \tabularnewline
59 & -0.039499 & -0.4105 & 0.34113 \tabularnewline
60 & 0.013242 & 0.1376 & 0.445402 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=40246&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]-0.066225[/C][C]-0.6882[/C][C]0.246392[/C][/ROW]
[ROW][C]2[/C][C]-0.143889[/C][C]-1.4953[/C][C]0.068871[/C][/ROW]
[ROW][C]3[/C][C]-0.043528[/C][C]-0.4524[/C][C]0.325961[/C][/ROW]
[ROW][C]4[/C][C]-0.007133[/C][C]-0.0741[/C][C]0.470525[/C][/ROW]
[ROW][C]5[/C][C]0.208748[/C][C]2.1694[/C][C]0.016123[/C][/ROW]
[ROW][C]6[/C][C]0.161915[/C][C]1.6827[/C][C]0.047664[/C][/ROW]
[ROW][C]7[/C][C]-0.270033[/C][C]-2.8063[/C][C]0.002973[/C][/ROW]
[ROW][C]8[/C][C]-0.005144[/C][C]-0.0535[/C][C]0.478732[/C][/ROW]
[ROW][C]9[/C][C]-0.039086[/C][C]-0.4062[/C][C]0.342701[/C][/ROW]
[ROW][C]10[/C][C]0.030343[/C][C]0.3153[/C][C]0.376559[/C][/ROW]
[ROW][C]11[/C][C]-0.015749[/C][C]-0.1637[/C][C]0.43515[/C][/ROW]
[ROW][C]12[/C][C]-0.037296[/C][C]-0.3876[/C][C]0.34954[/C][/ROW]
[ROW][C]13[/C][C]-0.120425[/C][C]-1.2515[/C][C]0.106729[/C][/ROW]
[ROW][C]14[/C][C]0.028368[/C][C]0.2948[/C][C]0.384354[/C][/ROW]
[ROW][C]15[/C][C]0.048848[/C][C]0.5076[/C][C]0.30637[/C][/ROW]
[ROW][C]16[/C][C]0.005668[/C][C]0.0589[/C][C]0.476569[/C][/ROW]
[ROW][C]17[/C][C]-0.114415[/C][C]-1.189[/C][C]0.118516[/C][/ROW]
[ROW][C]18[/C][C]-0.089825[/C][C]-0.9335[/C][C]0.176326[/C][/ROW]
[ROW][C]19[/C][C]0.033382[/C][C]0.3469[/C][C]0.364664[/C][/ROW]
[ROW][C]20[/C][C]0.05319[/C][C]0.5528[/C][C]0.290783[/C][/ROW]
[ROW][C]21[/C][C]0.052876[/C][C]0.5495[/C][C]0.291898[/C][/ROW]
[ROW][C]22[/C][C]-0.09965[/C][C]-1.0356[/C][C]0.151354[/C][/ROW]
[ROW][C]23[/C][C]-0.148129[/C][C]-1.5394[/C][C]0.063316[/C][/ROW]
[ROW][C]24[/C][C]0.033463[/C][C]0.3478[/C][C]0.364348[/C][/ROW]
[ROW][C]25[/C][C]0.149697[/C][C]1.5557[/C][C]0.061353[/C][/ROW]
[ROW][C]26[/C][C]0.06019[/C][C]0.6255[/C][C]0.266476[/C][/ROW]
[ROW][C]27[/C][C]0.023934[/C][C]0.2487[/C][C]0.402022[/C][/ROW]
[ROW][C]28[/C][C]-0.169866[/C][C]-1.7653[/C][C]0.04017[/C][/ROW]
[ROW][C]29[/C][C]-0.078653[/C][C]-0.8174[/C][C]0.207753[/C][/ROW]
[ROW][C]30[/C][C]0.163989[/C][C]1.7042[/C][C]0.045607[/C][/ROW]
[ROW][C]31[/C][C]0.127339[/C][C]1.3234[/C][C]0.094257[/C][/ROW]
[ROW][C]32[/C][C]-0.04988[/C][C]-0.5184[/C][C]0.302631[/C][/ROW]
[ROW][C]33[/C][C]0.041996[/C][C]0.4364[/C][C]0.331697[/C][/ROW]
[ROW][C]34[/C][C]-0.113391[/C][C]-1.1784[/C][C]0.120614[/C][/ROW]
[ROW][C]35[/C][C]0.037884[/C][C]0.3937[/C][C]0.347289[/C][/ROW]
[ROW][C]36[/C][C]0.171906[/C][C]1.7865[/C][C]0.038412[/C][/ROW]
[ROW][C]37[/C][C]-0.072446[/C][C]-0.7529[/C][C]0.226581[/C][/ROW]
[ROW][C]38[/C][C]-0.129247[/C][C]-1.3432[/C][C]0.091016[/C][/ROW]
[ROW][C]39[/C][C]0.131825[/C][C]1.37[/C][C]0.086769[/C][/ROW]
[ROW][C]40[/C][C]-0.055574[/C][C]-0.5775[/C][C]0.282387[/C][/ROW]
[ROW][C]41[/C][C]0.07075[/C][C]0.7353[/C][C]0.23189[/C][/ROW]
[ROW][C]42[/C][C]-0.083776[/C][C]-0.8706[/C][C]0.192944[/C][/ROW]
[ROW][C]43[/C][C]-0.145335[/C][C]-1.5104[/C][C]0.066935[/C][/ROW]
[ROW][C]44[/C][C]-0.003363[/C][C]-0.0349[/C][C]0.486094[/C][/ROW]
[ROW][C]45[/C][C]0.114951[/C][C]1.1946[/C][C]0.117428[/C][/ROW]
[ROW][C]46[/C][C]0.024877[/C][C]0.2585[/C][C]0.398246[/C][/ROW]
[ROW][C]47[/C][C]0.053664[/C][C]0.5577[/C][C]0.289106[/C][/ROW]
[ROW][C]48[/C][C]-0.048866[/C][C]-0.5078[/C][C]0.306305[/C][/ROW]
[ROW][C]49[/C][C]-0.081025[/C][C]-0.842[/C][C]0.200814[/C][/ROW]
[ROW][C]50[/C][C]0.028293[/C][C]0.294[/C][C]0.384649[/C][/ROW]
[ROW][C]51[/C][C]0.150251[/C][C]1.5615[/C][C]0.060671[/C][/ROW]
[ROW][C]52[/C][C]-0.097256[/C][C]-1.0107[/C][C]0.157207[/C][/ROW]
[ROW][C]53[/C][C]0.03736[/C][C]0.3883[/C][C]0.349295[/C][/ROW]
[ROW][C]54[/C][C]-0.146304[/C][C]-1.5204[/C][C]0.065661[/C][/ROW]
[ROW][C]55[/C][C]-0.036323[/C][C]-0.3775[/C][C]0.353277[/C][/ROW]
[ROW][C]56[/C][C]0.141609[/C][C]1.4716[/C][C]0.072013[/C][/ROW]
[ROW][C]57[/C][C]-0.022714[/C][C]-0.236[/C][C]0.406922[/C][/ROW]
[ROW][C]58[/C][C]-0.076351[/C][C]-0.7935[/C][C]0.214623[/C][/ROW]
[ROW][C]59[/C][C]-0.039499[/C][C]-0.4105[/C][C]0.34113[/C][/ROW]
[ROW][C]60[/C][C]0.013242[/C][C]0.1376[/C][C]0.445402[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=40246&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=40246&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
1-0.066225-0.68820.246392
2-0.143889-1.49530.068871
3-0.043528-0.45240.325961
4-0.007133-0.07410.470525
50.2087482.16940.016123
60.1619151.68270.047664
7-0.270033-2.80630.002973
8-0.005144-0.05350.478732
9-0.039086-0.40620.342701
100.0303430.31530.376559
11-0.015749-0.16370.43515
12-0.037296-0.38760.34954
13-0.120425-1.25150.106729
140.0283680.29480.384354
150.0488480.50760.30637
160.0056680.05890.476569
17-0.114415-1.1890.118516
18-0.089825-0.93350.176326
190.0333820.34690.364664
200.053190.55280.290783
210.0528760.54950.291898
22-0.09965-1.03560.151354
23-0.148129-1.53940.063316
240.0334630.34780.364348
250.1496971.55570.061353
260.060190.62550.266476
270.0239340.24870.402022
28-0.169866-1.76530.04017
29-0.078653-0.81740.207753
300.1639891.70420.045607
310.1273391.32340.094257
32-0.04988-0.51840.302631
330.0419960.43640.331697
34-0.113391-1.17840.120614
350.0378840.39370.347289
360.1719061.78650.038412
37-0.072446-0.75290.226581
38-0.129247-1.34320.091016
390.1318251.370.086769
40-0.055574-0.57750.282387
410.070750.73530.23189
42-0.083776-0.87060.192944
43-0.145335-1.51040.066935
44-0.003363-0.03490.486094
450.1149511.19460.117428
460.0248770.25850.398246
470.0536640.55770.289106
48-0.048866-0.50780.306305
49-0.081025-0.8420.200814
500.0282930.2940.384649
510.1502511.56150.060671
52-0.097256-1.01070.157207
530.037360.38830.349295
54-0.146304-1.52040.065661
55-0.036323-0.37750.353277
560.1416091.47160.072013
57-0.022714-0.2360.406922
58-0.076351-0.79350.214623
59-0.039499-0.41050.34113
600.0132420.13760.445402







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
1-0.066225-0.68820.246392
2-0.148928-1.54770.062309
3-0.066088-0.68680.246839
4-0.038588-0.4010.344601
50.1948832.02530.022652
60.1997052.07540.020163
7-0.198266-2.06040.02088
80.0182010.18920.425164
9-0.093904-0.97590.165652
10-0.036694-0.38130.35185
11-0.113366-1.17810.120667
120.0157360.16350.435202
13-0.067154-0.69790.243376
14-0.022063-0.22930.409542
150.0640240.66540.253621
160.0032760.0340.486452
17-0.094467-0.98170.164214
18-0.11909-1.23760.10927
190.0230170.23920.405701
20-0.048742-0.50650.306755
210.0506950.52680.299693
22-0.052381-0.54440.29366
23-0.09934-1.03240.152103
24-0.043716-0.45430.325258
250.0832040.86470.194565
260.0622420.64680.259554
270.0658510.68430.247612
28-0.074586-0.77510.21998
29-0.123967-1.28830.100197
300.0250670.26050.397484
310.0577960.60060.274672
320.0018710.01940.49226
330.1264711.31430.09576
34-0.022497-0.23380.407795
35-0.043156-0.44850.327351
360.0811020.84280.200591
37-0.034809-0.36180.359123
38-0.115342-1.19870.11664
390.1099221.14230.127919
40-0.029898-0.31070.37831
41-0.002947-0.03060.487812
42-0.07848-0.81560.208264
43-0.015825-0.16450.434839
44-0.061108-0.63510.263368
450.0052240.05430.478401
460.0762280.79220.214994
470.1139441.18410.119478
480.1223181.27120.1032
49-0.058816-0.61120.271166
50-0.032292-0.33560.368915
515e-0600.499981
52-0.167023-1.73580.042729
530.1111831.15550.125228
54-0.087519-0.90950.182549
55-0.038866-0.40390.343538
560.0799980.83140.203802
57-0.042293-0.43950.330581
58-0.028326-0.29440.38452
59-0.025822-0.26830.394472
600.0668460.69470.244371

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & -0.066225 & -0.6882 & 0.246392 \tabularnewline
2 & -0.148928 & -1.5477 & 0.062309 \tabularnewline
3 & -0.066088 & -0.6868 & 0.246839 \tabularnewline
4 & -0.038588 & -0.401 & 0.344601 \tabularnewline
5 & 0.194883 & 2.0253 & 0.022652 \tabularnewline
6 & 0.199705 & 2.0754 & 0.020163 \tabularnewline
7 & -0.198266 & -2.0604 & 0.02088 \tabularnewline
8 & 0.018201 & 0.1892 & 0.425164 \tabularnewline
9 & -0.093904 & -0.9759 & 0.165652 \tabularnewline
10 & -0.036694 & -0.3813 & 0.35185 \tabularnewline
11 & -0.113366 & -1.1781 & 0.120667 \tabularnewline
12 & 0.015736 & 0.1635 & 0.435202 \tabularnewline
13 & -0.067154 & -0.6979 & 0.243376 \tabularnewline
14 & -0.022063 & -0.2293 & 0.409542 \tabularnewline
15 & 0.064024 & 0.6654 & 0.253621 \tabularnewline
16 & 0.003276 & 0.034 & 0.486452 \tabularnewline
17 & -0.094467 & -0.9817 & 0.164214 \tabularnewline
18 & -0.11909 & -1.2376 & 0.10927 \tabularnewline
19 & 0.023017 & 0.2392 & 0.405701 \tabularnewline
20 & -0.048742 & -0.5065 & 0.306755 \tabularnewline
21 & 0.050695 & 0.5268 & 0.299693 \tabularnewline
22 & -0.052381 & -0.5444 & 0.29366 \tabularnewline
23 & -0.09934 & -1.0324 & 0.152103 \tabularnewline
24 & -0.043716 & -0.4543 & 0.325258 \tabularnewline
25 & 0.083204 & 0.8647 & 0.194565 \tabularnewline
26 & 0.062242 & 0.6468 & 0.259554 \tabularnewline
27 & 0.065851 & 0.6843 & 0.247612 \tabularnewline
28 & -0.074586 & -0.7751 & 0.21998 \tabularnewline
29 & -0.123967 & -1.2883 & 0.100197 \tabularnewline
30 & 0.025067 & 0.2605 & 0.397484 \tabularnewline
31 & 0.057796 & 0.6006 & 0.274672 \tabularnewline
32 & 0.001871 & 0.0194 & 0.49226 \tabularnewline
33 & 0.126471 & 1.3143 & 0.09576 \tabularnewline
34 & -0.022497 & -0.2338 & 0.407795 \tabularnewline
35 & -0.043156 & -0.4485 & 0.327351 \tabularnewline
36 & 0.081102 & 0.8428 & 0.200591 \tabularnewline
37 & -0.034809 & -0.3618 & 0.359123 \tabularnewline
38 & -0.115342 & -1.1987 & 0.11664 \tabularnewline
39 & 0.109922 & 1.1423 & 0.127919 \tabularnewline
40 & -0.029898 & -0.3107 & 0.37831 \tabularnewline
41 & -0.002947 & -0.0306 & 0.487812 \tabularnewline
42 & -0.07848 & -0.8156 & 0.208264 \tabularnewline
43 & -0.015825 & -0.1645 & 0.434839 \tabularnewline
44 & -0.061108 & -0.6351 & 0.263368 \tabularnewline
45 & 0.005224 & 0.0543 & 0.478401 \tabularnewline
46 & 0.076228 & 0.7922 & 0.214994 \tabularnewline
47 & 0.113944 & 1.1841 & 0.119478 \tabularnewline
48 & 0.122318 & 1.2712 & 0.1032 \tabularnewline
49 & -0.058816 & -0.6112 & 0.271166 \tabularnewline
50 & -0.032292 & -0.3356 & 0.368915 \tabularnewline
51 & 5e-06 & 0 & 0.499981 \tabularnewline
52 & -0.167023 & -1.7358 & 0.042729 \tabularnewline
53 & 0.111183 & 1.1555 & 0.125228 \tabularnewline
54 & -0.087519 & -0.9095 & 0.182549 \tabularnewline
55 & -0.038866 & -0.4039 & 0.343538 \tabularnewline
56 & 0.079998 & 0.8314 & 0.203802 \tabularnewline
57 & -0.042293 & -0.4395 & 0.330581 \tabularnewline
58 & -0.028326 & -0.2944 & 0.38452 \tabularnewline
59 & -0.025822 & -0.2683 & 0.394472 \tabularnewline
60 & 0.066846 & 0.6947 & 0.244371 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=40246&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]-0.066225[/C][C]-0.6882[/C][C]0.246392[/C][/ROW]
[ROW][C]2[/C][C]-0.148928[/C][C]-1.5477[/C][C]0.062309[/C][/ROW]
[ROW][C]3[/C][C]-0.066088[/C][C]-0.6868[/C][C]0.246839[/C][/ROW]
[ROW][C]4[/C][C]-0.038588[/C][C]-0.401[/C][C]0.344601[/C][/ROW]
[ROW][C]5[/C][C]0.194883[/C][C]2.0253[/C][C]0.022652[/C][/ROW]
[ROW][C]6[/C][C]0.199705[/C][C]2.0754[/C][C]0.020163[/C][/ROW]
[ROW][C]7[/C][C]-0.198266[/C][C]-2.0604[/C][C]0.02088[/C][/ROW]
[ROW][C]8[/C][C]0.018201[/C][C]0.1892[/C][C]0.425164[/C][/ROW]
[ROW][C]9[/C][C]-0.093904[/C][C]-0.9759[/C][C]0.165652[/C][/ROW]
[ROW][C]10[/C][C]-0.036694[/C][C]-0.3813[/C][C]0.35185[/C][/ROW]
[ROW][C]11[/C][C]-0.113366[/C][C]-1.1781[/C][C]0.120667[/C][/ROW]
[ROW][C]12[/C][C]0.015736[/C][C]0.1635[/C][C]0.435202[/C][/ROW]
[ROW][C]13[/C][C]-0.067154[/C][C]-0.6979[/C][C]0.243376[/C][/ROW]
[ROW][C]14[/C][C]-0.022063[/C][C]-0.2293[/C][C]0.409542[/C][/ROW]
[ROW][C]15[/C][C]0.064024[/C][C]0.6654[/C][C]0.253621[/C][/ROW]
[ROW][C]16[/C][C]0.003276[/C][C]0.034[/C][C]0.486452[/C][/ROW]
[ROW][C]17[/C][C]-0.094467[/C][C]-0.9817[/C][C]0.164214[/C][/ROW]
[ROW][C]18[/C][C]-0.11909[/C][C]-1.2376[/C][C]0.10927[/C][/ROW]
[ROW][C]19[/C][C]0.023017[/C][C]0.2392[/C][C]0.405701[/C][/ROW]
[ROW][C]20[/C][C]-0.048742[/C][C]-0.5065[/C][C]0.306755[/C][/ROW]
[ROW][C]21[/C][C]0.050695[/C][C]0.5268[/C][C]0.299693[/C][/ROW]
[ROW][C]22[/C][C]-0.052381[/C][C]-0.5444[/C][C]0.29366[/C][/ROW]
[ROW][C]23[/C][C]-0.09934[/C][C]-1.0324[/C][C]0.152103[/C][/ROW]
[ROW][C]24[/C][C]-0.043716[/C][C]-0.4543[/C][C]0.325258[/C][/ROW]
[ROW][C]25[/C][C]0.083204[/C][C]0.8647[/C][C]0.194565[/C][/ROW]
[ROW][C]26[/C][C]0.062242[/C][C]0.6468[/C][C]0.259554[/C][/ROW]
[ROW][C]27[/C][C]0.065851[/C][C]0.6843[/C][C]0.247612[/C][/ROW]
[ROW][C]28[/C][C]-0.074586[/C][C]-0.7751[/C][C]0.21998[/C][/ROW]
[ROW][C]29[/C][C]-0.123967[/C][C]-1.2883[/C][C]0.100197[/C][/ROW]
[ROW][C]30[/C][C]0.025067[/C][C]0.2605[/C][C]0.397484[/C][/ROW]
[ROW][C]31[/C][C]0.057796[/C][C]0.6006[/C][C]0.274672[/C][/ROW]
[ROW][C]32[/C][C]0.001871[/C][C]0.0194[/C][C]0.49226[/C][/ROW]
[ROW][C]33[/C][C]0.126471[/C][C]1.3143[/C][C]0.09576[/C][/ROW]
[ROW][C]34[/C][C]-0.022497[/C][C]-0.2338[/C][C]0.407795[/C][/ROW]
[ROW][C]35[/C][C]-0.043156[/C][C]-0.4485[/C][C]0.327351[/C][/ROW]
[ROW][C]36[/C][C]0.081102[/C][C]0.8428[/C][C]0.200591[/C][/ROW]
[ROW][C]37[/C][C]-0.034809[/C][C]-0.3618[/C][C]0.359123[/C][/ROW]
[ROW][C]38[/C][C]-0.115342[/C][C]-1.1987[/C][C]0.11664[/C][/ROW]
[ROW][C]39[/C][C]0.109922[/C][C]1.1423[/C][C]0.127919[/C][/ROW]
[ROW][C]40[/C][C]-0.029898[/C][C]-0.3107[/C][C]0.37831[/C][/ROW]
[ROW][C]41[/C][C]-0.002947[/C][C]-0.0306[/C][C]0.487812[/C][/ROW]
[ROW][C]42[/C][C]-0.07848[/C][C]-0.8156[/C][C]0.208264[/C][/ROW]
[ROW][C]43[/C][C]-0.015825[/C][C]-0.1645[/C][C]0.434839[/C][/ROW]
[ROW][C]44[/C][C]-0.061108[/C][C]-0.6351[/C][C]0.263368[/C][/ROW]
[ROW][C]45[/C][C]0.005224[/C][C]0.0543[/C][C]0.478401[/C][/ROW]
[ROW][C]46[/C][C]0.076228[/C][C]0.7922[/C][C]0.214994[/C][/ROW]
[ROW][C]47[/C][C]0.113944[/C][C]1.1841[/C][C]0.119478[/C][/ROW]
[ROW][C]48[/C][C]0.122318[/C][C]1.2712[/C][C]0.1032[/C][/ROW]
[ROW][C]49[/C][C]-0.058816[/C][C]-0.6112[/C][C]0.271166[/C][/ROW]
[ROW][C]50[/C][C]-0.032292[/C][C]-0.3356[/C][C]0.368915[/C][/ROW]
[ROW][C]51[/C][C]5e-06[/C][C]0[/C][C]0.499981[/C][/ROW]
[ROW][C]52[/C][C]-0.167023[/C][C]-1.7358[/C][C]0.042729[/C][/ROW]
[ROW][C]53[/C][C]0.111183[/C][C]1.1555[/C][C]0.125228[/C][/ROW]
[ROW][C]54[/C][C]-0.087519[/C][C]-0.9095[/C][C]0.182549[/C][/ROW]
[ROW][C]55[/C][C]-0.038866[/C][C]-0.4039[/C][C]0.343538[/C][/ROW]
[ROW][C]56[/C][C]0.079998[/C][C]0.8314[/C][C]0.203802[/C][/ROW]
[ROW][C]57[/C][C]-0.042293[/C][C]-0.4395[/C][C]0.330581[/C][/ROW]
[ROW][C]58[/C][C]-0.028326[/C][C]-0.2944[/C][C]0.38452[/C][/ROW]
[ROW][C]59[/C][C]-0.025822[/C][C]-0.2683[/C][C]0.394472[/C][/ROW]
[ROW][C]60[/C][C]0.066846[/C][C]0.6947[/C][C]0.244371[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=40246&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=40246&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
1-0.066225-0.68820.246392
2-0.148928-1.54770.062309
3-0.066088-0.68680.246839
4-0.038588-0.4010.344601
50.1948832.02530.022652
60.1997052.07540.020163
7-0.198266-2.06040.02088
80.0182010.18920.425164
9-0.093904-0.97590.165652
10-0.036694-0.38130.35185
11-0.113366-1.17810.120667
120.0157360.16350.435202
13-0.067154-0.69790.243376
14-0.022063-0.22930.409542
150.0640240.66540.253621
160.0032760.0340.486452
17-0.094467-0.98170.164214
18-0.11909-1.23760.10927
190.0230170.23920.405701
20-0.048742-0.50650.306755
210.0506950.52680.299693
22-0.052381-0.54440.29366
23-0.09934-1.03240.152103
24-0.043716-0.45430.325258
250.0832040.86470.194565
260.0622420.64680.259554
270.0658510.68430.247612
28-0.074586-0.77510.21998
29-0.123967-1.28830.100197
300.0250670.26050.397484
310.0577960.60060.274672
320.0018710.01940.49226
330.1264711.31430.09576
34-0.022497-0.23380.407795
35-0.043156-0.44850.327351
360.0811020.84280.200591
37-0.034809-0.36180.359123
38-0.115342-1.19870.11664
390.1099221.14230.127919
40-0.029898-0.31070.37831
41-0.002947-0.03060.487812
42-0.07848-0.81560.208264
43-0.015825-0.16450.434839
44-0.061108-0.63510.263368
450.0052240.05430.478401
460.0762280.79220.214994
470.1139441.18410.119478
480.1223181.27120.1032
49-0.058816-0.61120.271166
50-0.032292-0.33560.368915
515e-0600.499981
52-0.167023-1.73580.042729
530.1111831.15550.125228
54-0.087519-0.90950.182549
55-0.038866-0.40390.343538
560.0799980.83140.203802
57-0.042293-0.43950.330581
58-0.028326-0.29440.38452
59-0.025822-0.26830.394472
600.0668460.69470.244371



Parameters (Session):
par1 = 60 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ;
Parameters (R input):
par1 = 60 ; 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 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')