Free Statistics

of Irreproducible Research!

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationTue, 23 Dec 2008 08:13:44 -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/23/t1230045279qjjdkbsg7p76u6i.htm/, Retrieved Sun, 19 May 2024 10:44:54 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=36316, Retrieved Sun, 19 May 2024 10:44:54 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact163
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [data set] [2008-12-01 19:54:57] [b98453cac15ba1066b407e146608df68]
F RMP   [Standard Deviation-Mean Plot] [Q1 ] [2008-12-07 13:13:15] [74be16979710d4c4e7c6647856088456]
-    D    [Standard Deviation-Mean Plot] [SMP eigen tijdreeks] [2008-12-15 19:50:53] [74be16979710d4c4e7c6647856088456]
- RMPD      [(Partial) Autocorrelation Function] [paper] [2008-12-23 14:27:57] [5262baed313b307078ce11eb68e9efe6]
-   P         [(Partial) Autocorrelation Function] [paper] [2008-12-23 14:38:06] [5262baed313b307078ce11eb68e9efe6]
-   P             [(Partial) Autocorrelation Function] [Paper] [2008-12-23 15:13:44] [5bd06487453d0eec7a1bf04bf9f25085] [Current]
-   P               [(Partial) Autocorrelation Function] [paper] [2008-12-23 15:16:02] [5262baed313b307078ce11eb68e9efe6]
Feedback Forum

Post a new message
Dataseries X:
493
481
462
457
442
439
488
521
501
485
464
460
467
460
448
443
436
431
484
510
513
503
471
471
476
475
470
461
455
456
517
525
523
519
509
512
519
517
510
509
501
507
569
580
578
565
547
555
562
561
555
544
537
543
594
611
613
611
594
595
591
589
584
573
567
569
621
629
628
612
595
597
593
590
580
574
573
573
620
626
620
588
566
557
561
549
532
526
511
499
555
565
542
527
510
514
517
508
493
490
469
478
528
534
518
506




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'George Udny Yule' @ 72.249.76.132

\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 & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=36316&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=36316&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=36316&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'George Udny Yule' @ 72.249.76.132







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.9289599.56420
20.8205498.44810
30.7383557.60180
40.6960097.16590
50.6863157.0660
60.6714916.91340
70.6389736.57860
80.6046926.22570
90.6043126.22180
100.6373826.56220
110.6904517.10860
120.7054297.26280
130.6139496.3210
140.4960095.10671e-06
150.398474.10254e-05
160.3363073.46250.000386
170.3034953.12470.001148
180.2681542.76080.003398
190.2212252.27760.012377
200.1747611.79930.03741
210.1646131.69480.046526
220.1862331.91740.02894
230.2187492.25220.013187
240.21652.2290.013962
250.1280831.31870.095057
260.0245150.25240.400611
27-0.05742-0.59120.27783
28-0.107816-1.110.134747
29-0.134455-1.38430.084587
30-0.164494-1.69360.046642
31-0.200843-2.06780.020546
32-0.235491-2.42450.00851
33-0.238194-2.45240.007912
34-0.213784-2.2010.014951
35-0.175983-1.81190.03642
36-0.167446-1.7240.043815
37-0.233404-2.4030.008999
38-0.31454-3.23840.000803
39-0.375929-3.87049.4e-05
40-0.404201-4.16153.2e-05
41-0.41269-4.24892.3e-05
42-0.422524-4.35011.6e-05
43-0.436498-4.4949e-06
44-0.448325-4.61586e-06
45-0.432459-4.45241.1e-05
46-0.395314-4.074.5e-05
47-0.348096-3.58390.000257
48-0.323499-3.33060.000597
49-0.359393-3.70020.000172
50-0.408214-4.20282.8e-05
51-0.439679-4.52688e-06
52-0.446924-4.60146e-06
53-0.439155-4.52148e-06
54-0.429729-4.42431.2e-05
55-0.424497-4.37051.5e-05
56-0.415805-4.2812e-05
57-0.383713-3.95067e-05
58-0.334839-3.44740.000406
59-0.278413-2.86640.002504
60-0.244841-2.52080.006599

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.928959 & 9.5642 & 0 \tabularnewline
2 & 0.820549 & 8.4481 & 0 \tabularnewline
3 & 0.738355 & 7.6018 & 0 \tabularnewline
4 & 0.696009 & 7.1659 & 0 \tabularnewline
5 & 0.686315 & 7.066 & 0 \tabularnewline
6 & 0.671491 & 6.9134 & 0 \tabularnewline
7 & 0.638973 & 6.5786 & 0 \tabularnewline
8 & 0.604692 & 6.2257 & 0 \tabularnewline
9 & 0.604312 & 6.2218 & 0 \tabularnewline
10 & 0.637382 & 6.5622 & 0 \tabularnewline
11 & 0.690451 & 7.1086 & 0 \tabularnewline
12 & 0.705429 & 7.2628 & 0 \tabularnewline
13 & 0.613949 & 6.321 & 0 \tabularnewline
14 & 0.496009 & 5.1067 & 1e-06 \tabularnewline
15 & 0.39847 & 4.1025 & 4e-05 \tabularnewline
16 & 0.336307 & 3.4625 & 0.000386 \tabularnewline
17 & 0.303495 & 3.1247 & 0.001148 \tabularnewline
18 & 0.268154 & 2.7608 & 0.003398 \tabularnewline
19 & 0.221225 & 2.2776 & 0.012377 \tabularnewline
20 & 0.174761 & 1.7993 & 0.03741 \tabularnewline
21 & 0.164613 & 1.6948 & 0.046526 \tabularnewline
22 & 0.186233 & 1.9174 & 0.02894 \tabularnewline
23 & 0.218749 & 2.2522 & 0.013187 \tabularnewline
24 & 0.2165 & 2.229 & 0.013962 \tabularnewline
25 & 0.128083 & 1.3187 & 0.095057 \tabularnewline
26 & 0.024515 & 0.2524 & 0.400611 \tabularnewline
27 & -0.05742 & -0.5912 & 0.27783 \tabularnewline
28 & -0.107816 & -1.11 & 0.134747 \tabularnewline
29 & -0.134455 & -1.3843 & 0.084587 \tabularnewline
30 & -0.164494 & -1.6936 & 0.046642 \tabularnewline
31 & -0.200843 & -2.0678 & 0.020546 \tabularnewline
32 & -0.235491 & -2.4245 & 0.00851 \tabularnewline
33 & -0.238194 & -2.4524 & 0.007912 \tabularnewline
34 & -0.213784 & -2.201 & 0.014951 \tabularnewline
35 & -0.175983 & -1.8119 & 0.03642 \tabularnewline
36 & -0.167446 & -1.724 & 0.043815 \tabularnewline
37 & -0.233404 & -2.403 & 0.008999 \tabularnewline
38 & -0.31454 & -3.2384 & 0.000803 \tabularnewline
39 & -0.375929 & -3.8704 & 9.4e-05 \tabularnewline
40 & -0.404201 & -4.1615 & 3.2e-05 \tabularnewline
41 & -0.41269 & -4.2489 & 2.3e-05 \tabularnewline
42 & -0.422524 & -4.3501 & 1.6e-05 \tabularnewline
43 & -0.436498 & -4.494 & 9e-06 \tabularnewline
44 & -0.448325 & -4.6158 & 6e-06 \tabularnewline
45 & -0.432459 & -4.4524 & 1.1e-05 \tabularnewline
46 & -0.395314 & -4.07 & 4.5e-05 \tabularnewline
47 & -0.348096 & -3.5839 & 0.000257 \tabularnewline
48 & -0.323499 & -3.3306 & 0.000597 \tabularnewline
49 & -0.359393 & -3.7002 & 0.000172 \tabularnewline
50 & -0.408214 & -4.2028 & 2.8e-05 \tabularnewline
51 & -0.439679 & -4.5268 & 8e-06 \tabularnewline
52 & -0.446924 & -4.6014 & 6e-06 \tabularnewline
53 & -0.439155 & -4.5214 & 8e-06 \tabularnewline
54 & -0.429729 & -4.4243 & 1.2e-05 \tabularnewline
55 & -0.424497 & -4.3705 & 1.5e-05 \tabularnewline
56 & -0.415805 & -4.281 & 2e-05 \tabularnewline
57 & -0.383713 & -3.9506 & 7e-05 \tabularnewline
58 & -0.334839 & -3.4474 & 0.000406 \tabularnewline
59 & -0.278413 & -2.8664 & 0.002504 \tabularnewline
60 & -0.244841 & -2.5208 & 0.006599 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=36316&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]0.928959[/C][C]9.5642[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.820549[/C][C]8.4481[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.738355[/C][C]7.6018[/C][C]0[/C][/ROW]
[ROW][C]4[/C][C]0.696009[/C][C]7.1659[/C][C]0[/C][/ROW]
[ROW][C]5[/C][C]0.686315[/C][C]7.066[/C][C]0[/C][/ROW]
[ROW][C]6[/C][C]0.671491[/C][C]6.9134[/C][C]0[/C][/ROW]
[ROW][C]7[/C][C]0.638973[/C][C]6.5786[/C][C]0[/C][/ROW]
[ROW][C]8[/C][C]0.604692[/C][C]6.2257[/C][C]0[/C][/ROW]
[ROW][C]9[/C][C]0.604312[/C][C]6.2218[/C][C]0[/C][/ROW]
[ROW][C]10[/C][C]0.637382[/C][C]6.5622[/C][C]0[/C][/ROW]
[ROW][C]11[/C][C]0.690451[/C][C]7.1086[/C][C]0[/C][/ROW]
[ROW][C]12[/C][C]0.705429[/C][C]7.2628[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]0.613949[/C][C]6.321[/C][C]0[/C][/ROW]
[ROW][C]14[/C][C]0.496009[/C][C]5.1067[/C][C]1e-06[/C][/ROW]
[ROW][C]15[/C][C]0.39847[/C][C]4.1025[/C][C]4e-05[/C][/ROW]
[ROW][C]16[/C][C]0.336307[/C][C]3.4625[/C][C]0.000386[/C][/ROW]
[ROW][C]17[/C][C]0.303495[/C][C]3.1247[/C][C]0.001148[/C][/ROW]
[ROW][C]18[/C][C]0.268154[/C][C]2.7608[/C][C]0.003398[/C][/ROW]
[ROW][C]19[/C][C]0.221225[/C][C]2.2776[/C][C]0.012377[/C][/ROW]
[ROW][C]20[/C][C]0.174761[/C][C]1.7993[/C][C]0.03741[/C][/ROW]
[ROW][C]21[/C][C]0.164613[/C][C]1.6948[/C][C]0.046526[/C][/ROW]
[ROW][C]22[/C][C]0.186233[/C][C]1.9174[/C][C]0.02894[/C][/ROW]
[ROW][C]23[/C][C]0.218749[/C][C]2.2522[/C][C]0.013187[/C][/ROW]
[ROW][C]24[/C][C]0.2165[/C][C]2.229[/C][C]0.013962[/C][/ROW]
[ROW][C]25[/C][C]0.128083[/C][C]1.3187[/C][C]0.095057[/C][/ROW]
[ROW][C]26[/C][C]0.024515[/C][C]0.2524[/C][C]0.400611[/C][/ROW]
[ROW][C]27[/C][C]-0.05742[/C][C]-0.5912[/C][C]0.27783[/C][/ROW]
[ROW][C]28[/C][C]-0.107816[/C][C]-1.11[/C][C]0.134747[/C][/ROW]
[ROW][C]29[/C][C]-0.134455[/C][C]-1.3843[/C][C]0.084587[/C][/ROW]
[ROW][C]30[/C][C]-0.164494[/C][C]-1.6936[/C][C]0.046642[/C][/ROW]
[ROW][C]31[/C][C]-0.200843[/C][C]-2.0678[/C][C]0.020546[/C][/ROW]
[ROW][C]32[/C][C]-0.235491[/C][C]-2.4245[/C][C]0.00851[/C][/ROW]
[ROW][C]33[/C][C]-0.238194[/C][C]-2.4524[/C][C]0.007912[/C][/ROW]
[ROW][C]34[/C][C]-0.213784[/C][C]-2.201[/C][C]0.014951[/C][/ROW]
[ROW][C]35[/C][C]-0.175983[/C][C]-1.8119[/C][C]0.03642[/C][/ROW]
[ROW][C]36[/C][C]-0.167446[/C][C]-1.724[/C][C]0.043815[/C][/ROW]
[ROW][C]37[/C][C]-0.233404[/C][C]-2.403[/C][C]0.008999[/C][/ROW]
[ROW][C]38[/C][C]-0.31454[/C][C]-3.2384[/C][C]0.000803[/C][/ROW]
[ROW][C]39[/C][C]-0.375929[/C][C]-3.8704[/C][C]9.4e-05[/C][/ROW]
[ROW][C]40[/C][C]-0.404201[/C][C]-4.1615[/C][C]3.2e-05[/C][/ROW]
[ROW][C]41[/C][C]-0.41269[/C][C]-4.2489[/C][C]2.3e-05[/C][/ROW]
[ROW][C]42[/C][C]-0.422524[/C][C]-4.3501[/C][C]1.6e-05[/C][/ROW]
[ROW][C]43[/C][C]-0.436498[/C][C]-4.494[/C][C]9e-06[/C][/ROW]
[ROW][C]44[/C][C]-0.448325[/C][C]-4.6158[/C][C]6e-06[/C][/ROW]
[ROW][C]45[/C][C]-0.432459[/C][C]-4.4524[/C][C]1.1e-05[/C][/ROW]
[ROW][C]46[/C][C]-0.395314[/C][C]-4.07[/C][C]4.5e-05[/C][/ROW]
[ROW][C]47[/C][C]-0.348096[/C][C]-3.5839[/C][C]0.000257[/C][/ROW]
[ROW][C]48[/C][C]-0.323499[/C][C]-3.3306[/C][C]0.000597[/C][/ROW]
[ROW][C]49[/C][C]-0.359393[/C][C]-3.7002[/C][C]0.000172[/C][/ROW]
[ROW][C]50[/C][C]-0.408214[/C][C]-4.2028[/C][C]2.8e-05[/C][/ROW]
[ROW][C]51[/C][C]-0.439679[/C][C]-4.5268[/C][C]8e-06[/C][/ROW]
[ROW][C]52[/C][C]-0.446924[/C][C]-4.6014[/C][C]6e-06[/C][/ROW]
[ROW][C]53[/C][C]-0.439155[/C][C]-4.5214[/C][C]8e-06[/C][/ROW]
[ROW][C]54[/C][C]-0.429729[/C][C]-4.4243[/C][C]1.2e-05[/C][/ROW]
[ROW][C]55[/C][C]-0.424497[/C][C]-4.3705[/C][C]1.5e-05[/C][/ROW]
[ROW][C]56[/C][C]-0.415805[/C][C]-4.281[/C][C]2e-05[/C][/ROW]
[ROW][C]57[/C][C]-0.383713[/C][C]-3.9506[/C][C]7e-05[/C][/ROW]
[ROW][C]58[/C][C]-0.334839[/C][C]-3.4474[/C][C]0.000406[/C][/ROW]
[ROW][C]59[/C][C]-0.278413[/C][C]-2.8664[/C][C]0.002504[/C][/ROW]
[ROW][C]60[/C][C]-0.244841[/C][C]-2.5208[/C][C]0.006599[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=36316&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=36316&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
10.9289599.56420
20.8205498.44810
30.7383557.60180
40.6960097.16590
50.6863157.0660
60.6714916.91340
70.6389736.57860
80.6046926.22570
90.6043126.22180
100.6373826.56220
110.6904517.10860
120.7054297.26280
130.6139496.3210
140.4960095.10671e-06
150.398474.10254e-05
160.3363073.46250.000386
170.3034953.12470.001148
180.2681542.76080.003398
190.2212252.27760.012377
200.1747611.79930.03741
210.1646131.69480.046526
220.1862331.91740.02894
230.2187492.25220.013187
240.21652.2290.013962
250.1280831.31870.095057
260.0245150.25240.400611
27-0.05742-0.59120.27783
28-0.107816-1.110.134747
29-0.134455-1.38430.084587
30-0.164494-1.69360.046642
31-0.200843-2.06780.020546
32-0.235491-2.42450.00851
33-0.238194-2.45240.007912
34-0.213784-2.2010.014951
35-0.175983-1.81190.03642
36-0.167446-1.7240.043815
37-0.233404-2.4030.008999
38-0.31454-3.23840.000803
39-0.375929-3.87049.4e-05
40-0.404201-4.16153.2e-05
41-0.41269-4.24892.3e-05
42-0.422524-4.35011.6e-05
43-0.436498-4.4949e-06
44-0.448325-4.61586e-06
45-0.432459-4.45241.1e-05
46-0.395314-4.074.5e-05
47-0.348096-3.58390.000257
48-0.323499-3.33060.000597
49-0.359393-3.70020.000172
50-0.408214-4.20282.8e-05
51-0.439679-4.52688e-06
52-0.446924-4.60146e-06
53-0.439155-4.52148e-06
54-0.429729-4.42431.2e-05
55-0.424497-4.37051.5e-05
56-0.415805-4.2812e-05
57-0.383713-3.95067e-05
58-0.334839-3.44740.000406
59-0.278413-2.86640.002504
60-0.244841-2.52080.006599







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.9289599.56420
2-0.309535-3.18690.000945
30.2235472.30160.011658
40.1373991.41460.080057
50.147771.52140.065571
6-0.081024-0.83420.203025
70.0027450.02830.488752
80.068240.70260.24193
90.2575952.65210.004614
100.1236641.27320.102866
110.2104672.16690.016241
12-0.214213-2.20550.014791
13-0.642938-6.61950
140.0690220.71060.23944
15-0.185379-1.90860.02951
16-0.089609-0.92260.179161
17-0.036958-0.38050.352167
18-0.001882-0.01940.492289
190.0223540.23020.409208
20-0.052809-0.54370.293893
210.0920410.94760.172739
220.0233410.24030.405278
23-0.076329-0.78590.216852
240.0606770.62470.266753
25-0.151602-1.56080.060771
260.0963910.99240.16163
27-0.005667-0.05830.476793
28-0.023414-0.24110.404987
290.0070670.07280.471067
30-0.047649-0.49060.312371
310.0460060.47370.318358
32-0.077902-0.80210.212159
33-0.085787-0.88320.189555
340.0227750.23450.407533
350.0736840.75860.22488
360.005120.05270.479029
37-0.086678-0.89240.187099
38-0.063327-0.6520.257908
390.0221580.22810.409993
40-0.000223-0.00230.499086
41-0.050203-0.51690.303161
420.0667310.6870.246781
43-0.015173-0.15620.438081
440.0377330.38850.34922
45-0.020827-0.21440.415314
46-0.032085-0.33030.3709
47-0.003502-0.03610.485653
480.0352120.36250.358841
490.0138010.14210.443639
500.0068940.0710.471773
510.0289180.29770.383246
52-0.066962-0.68940.246035
53-0.014124-0.14540.44233
540.0088560.09120.463762
55-0.054435-0.56040.28818
560.0609550.62760.265818
57-0.055615-0.57260.284066
580.0258790.26640.395208
590.0015620.01610.493599
60-0.042936-0.44210.329674

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.928959 & 9.5642 & 0 \tabularnewline
2 & -0.309535 & -3.1869 & 0.000945 \tabularnewline
3 & 0.223547 & 2.3016 & 0.011658 \tabularnewline
4 & 0.137399 & 1.4146 & 0.080057 \tabularnewline
5 & 0.14777 & 1.5214 & 0.065571 \tabularnewline
6 & -0.081024 & -0.8342 & 0.203025 \tabularnewline
7 & 0.002745 & 0.0283 & 0.488752 \tabularnewline
8 & 0.06824 & 0.7026 & 0.24193 \tabularnewline
9 & 0.257595 & 2.6521 & 0.004614 \tabularnewline
10 & 0.123664 & 1.2732 & 0.102866 \tabularnewline
11 & 0.210467 & 2.1669 & 0.016241 \tabularnewline
12 & -0.214213 & -2.2055 & 0.014791 \tabularnewline
13 & -0.642938 & -6.6195 & 0 \tabularnewline
14 & 0.069022 & 0.7106 & 0.23944 \tabularnewline
15 & -0.185379 & -1.9086 & 0.02951 \tabularnewline
16 & -0.089609 & -0.9226 & 0.179161 \tabularnewline
17 & -0.036958 & -0.3805 & 0.352167 \tabularnewline
18 & -0.001882 & -0.0194 & 0.492289 \tabularnewline
19 & 0.022354 & 0.2302 & 0.409208 \tabularnewline
20 & -0.052809 & -0.5437 & 0.293893 \tabularnewline
21 & 0.092041 & 0.9476 & 0.172739 \tabularnewline
22 & 0.023341 & 0.2403 & 0.405278 \tabularnewline
23 & -0.076329 & -0.7859 & 0.216852 \tabularnewline
24 & 0.060677 & 0.6247 & 0.266753 \tabularnewline
25 & -0.151602 & -1.5608 & 0.060771 \tabularnewline
26 & 0.096391 & 0.9924 & 0.16163 \tabularnewline
27 & -0.005667 & -0.0583 & 0.476793 \tabularnewline
28 & -0.023414 & -0.2411 & 0.404987 \tabularnewline
29 & 0.007067 & 0.0728 & 0.471067 \tabularnewline
30 & -0.047649 & -0.4906 & 0.312371 \tabularnewline
31 & 0.046006 & 0.4737 & 0.318358 \tabularnewline
32 & -0.077902 & -0.8021 & 0.212159 \tabularnewline
33 & -0.085787 & -0.8832 & 0.189555 \tabularnewline
34 & 0.022775 & 0.2345 & 0.407533 \tabularnewline
35 & 0.073684 & 0.7586 & 0.22488 \tabularnewline
36 & 0.00512 & 0.0527 & 0.479029 \tabularnewline
37 & -0.086678 & -0.8924 & 0.187099 \tabularnewline
38 & -0.063327 & -0.652 & 0.257908 \tabularnewline
39 & 0.022158 & 0.2281 & 0.409993 \tabularnewline
40 & -0.000223 & -0.0023 & 0.499086 \tabularnewline
41 & -0.050203 & -0.5169 & 0.303161 \tabularnewline
42 & 0.066731 & 0.687 & 0.246781 \tabularnewline
43 & -0.015173 & -0.1562 & 0.438081 \tabularnewline
44 & 0.037733 & 0.3885 & 0.34922 \tabularnewline
45 & -0.020827 & -0.2144 & 0.415314 \tabularnewline
46 & -0.032085 & -0.3303 & 0.3709 \tabularnewline
47 & -0.003502 & -0.0361 & 0.485653 \tabularnewline
48 & 0.035212 & 0.3625 & 0.358841 \tabularnewline
49 & 0.013801 & 0.1421 & 0.443639 \tabularnewline
50 & 0.006894 & 0.071 & 0.471773 \tabularnewline
51 & 0.028918 & 0.2977 & 0.383246 \tabularnewline
52 & -0.066962 & -0.6894 & 0.246035 \tabularnewline
53 & -0.014124 & -0.1454 & 0.44233 \tabularnewline
54 & 0.008856 & 0.0912 & 0.463762 \tabularnewline
55 & -0.054435 & -0.5604 & 0.28818 \tabularnewline
56 & 0.060955 & 0.6276 & 0.265818 \tabularnewline
57 & -0.055615 & -0.5726 & 0.284066 \tabularnewline
58 & 0.025879 & 0.2664 & 0.395208 \tabularnewline
59 & 0.001562 & 0.0161 & 0.493599 \tabularnewline
60 & -0.042936 & -0.4421 & 0.329674 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=36316&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]0.928959[/C][C]9.5642[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]-0.309535[/C][C]-3.1869[/C][C]0.000945[/C][/ROW]
[ROW][C]3[/C][C]0.223547[/C][C]2.3016[/C][C]0.011658[/C][/ROW]
[ROW][C]4[/C][C]0.137399[/C][C]1.4146[/C][C]0.080057[/C][/ROW]
[ROW][C]5[/C][C]0.14777[/C][C]1.5214[/C][C]0.065571[/C][/ROW]
[ROW][C]6[/C][C]-0.081024[/C][C]-0.8342[/C][C]0.203025[/C][/ROW]
[ROW][C]7[/C][C]0.002745[/C][C]0.0283[/C][C]0.488752[/C][/ROW]
[ROW][C]8[/C][C]0.06824[/C][C]0.7026[/C][C]0.24193[/C][/ROW]
[ROW][C]9[/C][C]0.257595[/C][C]2.6521[/C][C]0.004614[/C][/ROW]
[ROW][C]10[/C][C]0.123664[/C][C]1.2732[/C][C]0.102866[/C][/ROW]
[ROW][C]11[/C][C]0.210467[/C][C]2.1669[/C][C]0.016241[/C][/ROW]
[ROW][C]12[/C][C]-0.214213[/C][C]-2.2055[/C][C]0.014791[/C][/ROW]
[ROW][C]13[/C][C]-0.642938[/C][C]-6.6195[/C][C]0[/C][/ROW]
[ROW][C]14[/C][C]0.069022[/C][C]0.7106[/C][C]0.23944[/C][/ROW]
[ROW][C]15[/C][C]-0.185379[/C][C]-1.9086[/C][C]0.02951[/C][/ROW]
[ROW][C]16[/C][C]-0.089609[/C][C]-0.9226[/C][C]0.179161[/C][/ROW]
[ROW][C]17[/C][C]-0.036958[/C][C]-0.3805[/C][C]0.352167[/C][/ROW]
[ROW][C]18[/C][C]-0.001882[/C][C]-0.0194[/C][C]0.492289[/C][/ROW]
[ROW][C]19[/C][C]0.022354[/C][C]0.2302[/C][C]0.409208[/C][/ROW]
[ROW][C]20[/C][C]-0.052809[/C][C]-0.5437[/C][C]0.293893[/C][/ROW]
[ROW][C]21[/C][C]0.092041[/C][C]0.9476[/C][C]0.172739[/C][/ROW]
[ROW][C]22[/C][C]0.023341[/C][C]0.2403[/C][C]0.405278[/C][/ROW]
[ROW][C]23[/C][C]-0.076329[/C][C]-0.7859[/C][C]0.216852[/C][/ROW]
[ROW][C]24[/C][C]0.060677[/C][C]0.6247[/C][C]0.266753[/C][/ROW]
[ROW][C]25[/C][C]-0.151602[/C][C]-1.5608[/C][C]0.060771[/C][/ROW]
[ROW][C]26[/C][C]0.096391[/C][C]0.9924[/C][C]0.16163[/C][/ROW]
[ROW][C]27[/C][C]-0.005667[/C][C]-0.0583[/C][C]0.476793[/C][/ROW]
[ROW][C]28[/C][C]-0.023414[/C][C]-0.2411[/C][C]0.404987[/C][/ROW]
[ROW][C]29[/C][C]0.007067[/C][C]0.0728[/C][C]0.471067[/C][/ROW]
[ROW][C]30[/C][C]-0.047649[/C][C]-0.4906[/C][C]0.312371[/C][/ROW]
[ROW][C]31[/C][C]0.046006[/C][C]0.4737[/C][C]0.318358[/C][/ROW]
[ROW][C]32[/C][C]-0.077902[/C][C]-0.8021[/C][C]0.212159[/C][/ROW]
[ROW][C]33[/C][C]-0.085787[/C][C]-0.8832[/C][C]0.189555[/C][/ROW]
[ROW][C]34[/C][C]0.022775[/C][C]0.2345[/C][C]0.407533[/C][/ROW]
[ROW][C]35[/C][C]0.073684[/C][C]0.7586[/C][C]0.22488[/C][/ROW]
[ROW][C]36[/C][C]0.00512[/C][C]0.0527[/C][C]0.479029[/C][/ROW]
[ROW][C]37[/C][C]-0.086678[/C][C]-0.8924[/C][C]0.187099[/C][/ROW]
[ROW][C]38[/C][C]-0.063327[/C][C]-0.652[/C][C]0.257908[/C][/ROW]
[ROW][C]39[/C][C]0.022158[/C][C]0.2281[/C][C]0.409993[/C][/ROW]
[ROW][C]40[/C][C]-0.000223[/C][C]-0.0023[/C][C]0.499086[/C][/ROW]
[ROW][C]41[/C][C]-0.050203[/C][C]-0.5169[/C][C]0.303161[/C][/ROW]
[ROW][C]42[/C][C]0.066731[/C][C]0.687[/C][C]0.246781[/C][/ROW]
[ROW][C]43[/C][C]-0.015173[/C][C]-0.1562[/C][C]0.438081[/C][/ROW]
[ROW][C]44[/C][C]0.037733[/C][C]0.3885[/C][C]0.34922[/C][/ROW]
[ROW][C]45[/C][C]-0.020827[/C][C]-0.2144[/C][C]0.415314[/C][/ROW]
[ROW][C]46[/C][C]-0.032085[/C][C]-0.3303[/C][C]0.3709[/C][/ROW]
[ROW][C]47[/C][C]-0.003502[/C][C]-0.0361[/C][C]0.485653[/C][/ROW]
[ROW][C]48[/C][C]0.035212[/C][C]0.3625[/C][C]0.358841[/C][/ROW]
[ROW][C]49[/C][C]0.013801[/C][C]0.1421[/C][C]0.443639[/C][/ROW]
[ROW][C]50[/C][C]0.006894[/C][C]0.071[/C][C]0.471773[/C][/ROW]
[ROW][C]51[/C][C]0.028918[/C][C]0.2977[/C][C]0.383246[/C][/ROW]
[ROW][C]52[/C][C]-0.066962[/C][C]-0.6894[/C][C]0.246035[/C][/ROW]
[ROW][C]53[/C][C]-0.014124[/C][C]-0.1454[/C][C]0.44233[/C][/ROW]
[ROW][C]54[/C][C]0.008856[/C][C]0.0912[/C][C]0.463762[/C][/ROW]
[ROW][C]55[/C][C]-0.054435[/C][C]-0.5604[/C][C]0.28818[/C][/ROW]
[ROW][C]56[/C][C]0.060955[/C][C]0.6276[/C][C]0.265818[/C][/ROW]
[ROW][C]57[/C][C]-0.055615[/C][C]-0.5726[/C][C]0.284066[/C][/ROW]
[ROW][C]58[/C][C]0.025879[/C][C]0.2664[/C][C]0.395208[/C][/ROW]
[ROW][C]59[/C][C]0.001562[/C][C]0.0161[/C][C]0.493599[/C][/ROW]
[ROW][C]60[/C][C]-0.042936[/C][C]-0.4421[/C][C]0.329674[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=36316&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=36316&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
10.9289599.56420
2-0.309535-3.18690.000945
30.2235472.30160.011658
40.1373991.41460.080057
50.147771.52140.065571
6-0.081024-0.83420.203025
70.0027450.02830.488752
80.068240.70260.24193
90.2575952.65210.004614
100.1236641.27320.102866
110.2104672.16690.016241
12-0.214213-2.20550.014791
13-0.642938-6.61950
140.0690220.71060.23944
15-0.185379-1.90860.02951
16-0.089609-0.92260.179161
17-0.036958-0.38050.352167
18-0.001882-0.01940.492289
190.0223540.23020.409208
20-0.052809-0.54370.293893
210.0920410.94760.172739
220.0233410.24030.405278
23-0.076329-0.78590.216852
240.0606770.62470.266753
25-0.151602-1.56080.060771
260.0963910.99240.16163
27-0.005667-0.05830.476793
28-0.023414-0.24110.404987
290.0070670.07280.471067
30-0.047649-0.49060.312371
310.0460060.47370.318358
32-0.077902-0.80210.212159
33-0.085787-0.88320.189555
340.0227750.23450.407533
350.0736840.75860.22488
360.005120.05270.479029
37-0.086678-0.89240.187099
38-0.063327-0.6520.257908
390.0221580.22810.409993
40-0.000223-0.00230.499086
41-0.050203-0.51690.303161
420.0667310.6870.246781
43-0.015173-0.15620.438081
440.0377330.38850.34922
45-0.020827-0.21440.415314
46-0.032085-0.33030.3709
47-0.003502-0.03610.485653
480.0352120.36250.358841
490.0138010.14210.443639
500.0068940.0710.471773
510.0289180.29770.383246
52-0.066962-0.68940.246035
53-0.014124-0.14540.44233
540.0088560.09120.463762
55-0.054435-0.56040.28818
560.0609550.62760.265818
57-0.055615-0.57260.284066
580.0258790.26640.395208
590.0015620.01610.493599
60-0.042936-0.44210.329674



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')