Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationFri, 14 Dec 2007 08:40:48 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2007/Dec/14/t1197645963qts81tm99rndfmd.htm/, Retrieved Thu, 02 May 2024 16:06:17 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=3926, Retrieved Thu, 02 May 2024 16:06:17 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsChristel Stuer Steven Coomans Nele Rombaut Gregory De Meulenaer Gudrun Verhelst Mathias Bruneel
Estimated Impact205
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [Paper: ACF] [2007-12-14 15:40:48] [7071e8240f1069aec69cdda95d3fa1f8] [Current]
-    D    [(Partial) Autocorrelation Function] [Autocorrelatie zo...] [2008-12-21 13:03:53] [74be16979710d4c4e7c6647856088456]
Feedback Forum

Post a new message
Dataseries X:
527
516
503
489
479
475
524
552
532
511
492
492
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




Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time4 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\begin{tabular}{lllllllll}
\hline
Summary of compuational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 4 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ 193.190.124.10:1001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=3926&T=0

[TABLE]
[ROW][C]Summary of compuational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]4 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ 193.190.124.10:1001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=3926&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=3926&T=0

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time4 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001







Autocorrelation Function
Time lag kACF(k)T-STATP-value
019.59170
10.9206018.83010
20.8066337.73690
30.7314457.01580
40.6959046.67490
50.6979656.69460
60.6945236.66160
70.6681236.40840
80.6363956.10410
90.6369286.10920
100.6710226.43620
110.7205566.91130
120.7312787.01420
130.6392566.13150
140.5194244.98211e-06
150.4337564.16043.6e-05
160.3835783.67920.000197
170.3670213.52030.000336
180.3457283.31610.000654
190.3059382.93450.002109
200.2621982.51490.006821
210.2460882.36040.010184
220.2586652.4810.007459
230.2842592.72650.003832
240.2776252.66290.004573
250.187451.7980.037732
260.0814460.78120.218343
270.0057440.05510.47809
28-0.039274-0.37670.64637
29-0.055267-0.53010.701342
30-0.076399-0.73280.767225
31-0.112649-1.08050.858627
32-0.151339-1.45160.924992
33-0.162378-1.55750.938604
34-0.143408-1.37550.913845
35-0.114659-1.09980.86285
36-0.11874-1.13890.871152
37-0.192117-1.84270.965705
38-0.274928-2.6370.995091
39-0.324284-3.11040.998756
40-0.348686-3.34450.999403
41-0.353166-3.38750.99948
42-0.358629-3.43990.999562
43-0.376169-3.60810.999749
44-0.394657-3.78540.999863
45-0.389127-3.73240.999836
46-0.360763-3.46030.99959
47-0.3229-3.09710.998705
48-0.311411-2.98690.998194
49-0.354623-3.40140.999503
50-0.405831-3.89260.999906
51-0.426962-4.09530.999955
52-0.42747-4.10020.999956
53-0.412682-3.95830.999926
54-0.400181-3.83840.999886
55-0.395673-3.79520.999868
56-0.392352-3.76330.999853
57-0.370879-3.55730.999703
58-0.332242-3.18680.999017
59-0.295129-2.83080.997149

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 9.5917 & 0 \tabularnewline
1 & 0.920601 & 8.8301 & 0 \tabularnewline
2 & 0.806633 & 7.7369 & 0 \tabularnewline
3 & 0.731445 & 7.0158 & 0 \tabularnewline
4 & 0.695904 & 6.6749 & 0 \tabularnewline
5 & 0.697965 & 6.6946 & 0 \tabularnewline
6 & 0.694523 & 6.6616 & 0 \tabularnewline
7 & 0.668123 & 6.4084 & 0 \tabularnewline
8 & 0.636395 & 6.1041 & 0 \tabularnewline
9 & 0.636928 & 6.1092 & 0 \tabularnewline
10 & 0.671022 & 6.4362 & 0 \tabularnewline
11 & 0.720556 & 6.9113 & 0 \tabularnewline
12 & 0.731278 & 7.0142 & 0 \tabularnewline
13 & 0.639256 & 6.1315 & 0 \tabularnewline
14 & 0.519424 & 4.9821 & 1e-06 \tabularnewline
15 & 0.433756 & 4.1604 & 3.6e-05 \tabularnewline
16 & 0.383578 & 3.6792 & 0.000197 \tabularnewline
17 & 0.367021 & 3.5203 & 0.000336 \tabularnewline
18 & 0.345728 & 3.3161 & 0.000654 \tabularnewline
19 & 0.305938 & 2.9345 & 0.002109 \tabularnewline
20 & 0.262198 & 2.5149 & 0.006821 \tabularnewline
21 & 0.246088 & 2.3604 & 0.010184 \tabularnewline
22 & 0.258665 & 2.481 & 0.007459 \tabularnewline
23 & 0.284259 & 2.7265 & 0.003832 \tabularnewline
24 & 0.277625 & 2.6629 & 0.004573 \tabularnewline
25 & 0.18745 & 1.798 & 0.037732 \tabularnewline
26 & 0.081446 & 0.7812 & 0.218343 \tabularnewline
27 & 0.005744 & 0.0551 & 0.47809 \tabularnewline
28 & -0.039274 & -0.3767 & 0.64637 \tabularnewline
29 & -0.055267 & -0.5301 & 0.701342 \tabularnewline
30 & -0.076399 & -0.7328 & 0.767225 \tabularnewline
31 & -0.112649 & -1.0805 & 0.858627 \tabularnewline
32 & -0.151339 & -1.4516 & 0.924992 \tabularnewline
33 & -0.162378 & -1.5575 & 0.938604 \tabularnewline
34 & -0.143408 & -1.3755 & 0.913845 \tabularnewline
35 & -0.114659 & -1.0998 & 0.86285 \tabularnewline
36 & -0.11874 & -1.1389 & 0.871152 \tabularnewline
37 & -0.192117 & -1.8427 & 0.965705 \tabularnewline
38 & -0.274928 & -2.637 & 0.995091 \tabularnewline
39 & -0.324284 & -3.1104 & 0.998756 \tabularnewline
40 & -0.348686 & -3.3445 & 0.999403 \tabularnewline
41 & -0.353166 & -3.3875 & 0.99948 \tabularnewline
42 & -0.358629 & -3.4399 & 0.999562 \tabularnewline
43 & -0.376169 & -3.6081 & 0.999749 \tabularnewline
44 & -0.394657 & -3.7854 & 0.999863 \tabularnewline
45 & -0.389127 & -3.7324 & 0.999836 \tabularnewline
46 & -0.360763 & -3.4603 & 0.99959 \tabularnewline
47 & -0.3229 & -3.0971 & 0.998705 \tabularnewline
48 & -0.311411 & -2.9869 & 0.998194 \tabularnewline
49 & -0.354623 & -3.4014 & 0.999503 \tabularnewline
50 & -0.405831 & -3.8926 & 0.999906 \tabularnewline
51 & -0.426962 & -4.0953 & 0.999955 \tabularnewline
52 & -0.42747 & -4.1002 & 0.999956 \tabularnewline
53 & -0.412682 & -3.9583 & 0.999926 \tabularnewline
54 & -0.400181 & -3.8384 & 0.999886 \tabularnewline
55 & -0.395673 & -3.7952 & 0.999868 \tabularnewline
56 & -0.392352 & -3.7633 & 0.999853 \tabularnewline
57 & -0.370879 & -3.5573 & 0.999703 \tabularnewline
58 & -0.332242 & -3.1868 & 0.999017 \tabularnewline
59 & -0.295129 & -2.8308 & 0.997149 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=3926&T=1

[TABLE]
[ROW][C]Autocorrelation Function[/C][/ROW]
[ROW][C]Time lag k[/C][C]ACF(k)[/C][C]T-STAT[/C][C]P-value[/C][/ROW]
[ROW][C]0[/C][C]1[/C][C]9.5917[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]0.920601[/C][C]8.8301[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.806633[/C][C]7.7369[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.731445[/C][C]7.0158[/C][C]0[/C][/ROW]
[ROW][C]4[/C][C]0.695904[/C][C]6.6749[/C][C]0[/C][/ROW]
[ROW][C]5[/C][C]0.697965[/C][C]6.6946[/C][C]0[/C][/ROW]
[ROW][C]6[/C][C]0.694523[/C][C]6.6616[/C][C]0[/C][/ROW]
[ROW][C]7[/C][C]0.668123[/C][C]6.4084[/C][C]0[/C][/ROW]
[ROW][C]8[/C][C]0.636395[/C][C]6.1041[/C][C]0[/C][/ROW]
[ROW][C]9[/C][C]0.636928[/C][C]6.1092[/C][C]0[/C][/ROW]
[ROW][C]10[/C][C]0.671022[/C][C]6.4362[/C][C]0[/C][/ROW]
[ROW][C]11[/C][C]0.720556[/C][C]6.9113[/C][C]0[/C][/ROW]
[ROW][C]12[/C][C]0.731278[/C][C]7.0142[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]0.639256[/C][C]6.1315[/C][C]0[/C][/ROW]
[ROW][C]14[/C][C]0.519424[/C][C]4.9821[/C][C]1e-06[/C][/ROW]
[ROW][C]15[/C][C]0.433756[/C][C]4.1604[/C][C]3.6e-05[/C][/ROW]
[ROW][C]16[/C][C]0.383578[/C][C]3.6792[/C][C]0.000197[/C][/ROW]
[ROW][C]17[/C][C]0.367021[/C][C]3.5203[/C][C]0.000336[/C][/ROW]
[ROW][C]18[/C][C]0.345728[/C][C]3.3161[/C][C]0.000654[/C][/ROW]
[ROW][C]19[/C][C]0.305938[/C][C]2.9345[/C][C]0.002109[/C][/ROW]
[ROW][C]20[/C][C]0.262198[/C][C]2.5149[/C][C]0.006821[/C][/ROW]
[ROW][C]21[/C][C]0.246088[/C][C]2.3604[/C][C]0.010184[/C][/ROW]
[ROW][C]22[/C][C]0.258665[/C][C]2.481[/C][C]0.007459[/C][/ROW]
[ROW][C]23[/C][C]0.284259[/C][C]2.7265[/C][C]0.003832[/C][/ROW]
[ROW][C]24[/C][C]0.277625[/C][C]2.6629[/C][C]0.004573[/C][/ROW]
[ROW][C]25[/C][C]0.18745[/C][C]1.798[/C][C]0.037732[/C][/ROW]
[ROW][C]26[/C][C]0.081446[/C][C]0.7812[/C][C]0.218343[/C][/ROW]
[ROW][C]27[/C][C]0.005744[/C][C]0.0551[/C][C]0.47809[/C][/ROW]
[ROW][C]28[/C][C]-0.039274[/C][C]-0.3767[/C][C]0.64637[/C][/ROW]
[ROW][C]29[/C][C]-0.055267[/C][C]-0.5301[/C][C]0.701342[/C][/ROW]
[ROW][C]30[/C][C]-0.076399[/C][C]-0.7328[/C][C]0.767225[/C][/ROW]
[ROW][C]31[/C][C]-0.112649[/C][C]-1.0805[/C][C]0.858627[/C][/ROW]
[ROW][C]32[/C][C]-0.151339[/C][C]-1.4516[/C][C]0.924992[/C][/ROW]
[ROW][C]33[/C][C]-0.162378[/C][C]-1.5575[/C][C]0.938604[/C][/ROW]
[ROW][C]34[/C][C]-0.143408[/C][C]-1.3755[/C][C]0.913845[/C][/ROW]
[ROW][C]35[/C][C]-0.114659[/C][C]-1.0998[/C][C]0.86285[/C][/ROW]
[ROW][C]36[/C][C]-0.11874[/C][C]-1.1389[/C][C]0.871152[/C][/ROW]
[ROW][C]37[/C][C]-0.192117[/C][C]-1.8427[/C][C]0.965705[/C][/ROW]
[ROW][C]38[/C][C]-0.274928[/C][C]-2.637[/C][C]0.995091[/C][/ROW]
[ROW][C]39[/C][C]-0.324284[/C][C]-3.1104[/C][C]0.998756[/C][/ROW]
[ROW][C]40[/C][C]-0.348686[/C][C]-3.3445[/C][C]0.999403[/C][/ROW]
[ROW][C]41[/C][C]-0.353166[/C][C]-3.3875[/C][C]0.99948[/C][/ROW]
[ROW][C]42[/C][C]-0.358629[/C][C]-3.4399[/C][C]0.999562[/C][/ROW]
[ROW][C]43[/C][C]-0.376169[/C][C]-3.6081[/C][C]0.999749[/C][/ROW]
[ROW][C]44[/C][C]-0.394657[/C][C]-3.7854[/C][C]0.999863[/C][/ROW]
[ROW][C]45[/C][C]-0.389127[/C][C]-3.7324[/C][C]0.999836[/C][/ROW]
[ROW][C]46[/C][C]-0.360763[/C][C]-3.4603[/C][C]0.99959[/C][/ROW]
[ROW][C]47[/C][C]-0.3229[/C][C]-3.0971[/C][C]0.998705[/C][/ROW]
[ROW][C]48[/C][C]-0.311411[/C][C]-2.9869[/C][C]0.998194[/C][/ROW]
[ROW][C]49[/C][C]-0.354623[/C][C]-3.4014[/C][C]0.999503[/C][/ROW]
[ROW][C]50[/C][C]-0.405831[/C][C]-3.8926[/C][C]0.999906[/C][/ROW]
[ROW][C]51[/C][C]-0.426962[/C][C]-4.0953[/C][C]0.999955[/C][/ROW]
[ROW][C]52[/C][C]-0.42747[/C][C]-4.1002[/C][C]0.999956[/C][/ROW]
[ROW][C]53[/C][C]-0.412682[/C][C]-3.9583[/C][C]0.999926[/C][/ROW]
[ROW][C]54[/C][C]-0.400181[/C][C]-3.8384[/C][C]0.999886[/C][/ROW]
[ROW][C]55[/C][C]-0.395673[/C][C]-3.7952[/C][C]0.999868[/C][/ROW]
[ROW][C]56[/C][C]-0.392352[/C][C]-3.7633[/C][C]0.999853[/C][/ROW]
[ROW][C]57[/C][C]-0.370879[/C][C]-3.5573[/C][C]0.999703[/C][/ROW]
[ROW][C]58[/C][C]-0.332242[/C][C]-3.1868[/C][C]0.999017[/C][/ROW]
[ROW][C]59[/C][C]-0.295129[/C][C]-2.8308[/C][C]0.997149[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=3926&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=3926&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
019.59170
10.9206018.83010
20.8066337.73690
30.7314457.01580
40.6959046.67490
50.6979656.69460
60.6945236.66160
70.6681236.40840
80.6363956.10410
90.6369286.10920
100.6710226.43620
110.7205566.91130
120.7312787.01420
130.6392566.13150
140.5194244.98211e-06
150.4337564.16043.6e-05
160.3835783.67920.000197
170.3670213.52030.000336
180.3457283.31610.000654
190.3059382.93450.002109
200.2621982.51490.006821
210.2460882.36040.010184
220.2586652.4810.007459
230.2842592.72650.003832
240.2776252.66290.004573
250.187451.7980.037732
260.0814460.78120.218343
270.0057440.05510.47809
28-0.039274-0.37670.64637
29-0.055267-0.53010.701342
30-0.076399-0.73280.767225
31-0.112649-1.08050.858627
32-0.151339-1.45160.924992
33-0.162378-1.55750.938604
34-0.143408-1.37550.913845
35-0.114659-1.09980.86285
36-0.11874-1.13890.871152
37-0.192117-1.84270.965705
38-0.274928-2.6370.995091
39-0.324284-3.11040.998756
40-0.348686-3.34450.999403
41-0.353166-3.38750.99948
42-0.358629-3.43990.999562
43-0.376169-3.60810.999749
44-0.394657-3.78540.999863
45-0.389127-3.73240.999836
46-0.360763-3.46030.99959
47-0.3229-3.09710.998705
48-0.311411-2.98690.998194
49-0.354623-3.40140.999503
50-0.405831-3.89260.999906
51-0.426962-4.09530.999955
52-0.42747-4.10020.999956
53-0.412682-3.95830.999926
54-0.400181-3.83840.999886
55-0.395673-3.79520.999868
56-0.392352-3.76330.999853
57-0.370879-3.55730.999703
58-0.332242-3.18680.999017
59-0.295129-2.83080.997149







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
00.9206018.83010
1-0.268035-2.57090.994126
20.2583892.47840.007511
30.0986430.94620.173274
40.2284052.19080.015497
5-0.067139-0.6440.739403
60.0176360.16920.433021
70.0407790.39110.348301
80.2514222.41160.008935
90.1319121.26530.104488
100.1960211.88020.031624
11-0.163048-1.56390.939363
12-0.522404-5.01070.999999
13-0.08441-0.80960.78988
14-0.131475-1.26110.894763
15-0.12732-1.22120.887436
16-0.054512-0.52290.698837
17-0.087076-0.83520.797116
18-0.01365-0.13090.551941
19-0.073032-0.70050.757308
200.0094440.09060.464011
21-0.022432-0.21520.58494
220.1263211.21160.114378
230.0293970.2820.389302
24-0.11523-1.10520.864032
250.0993370.95280.171593
26-0.053218-0.51050.694521
27-0.003872-0.03710.514774
28-0.041482-0.39790.65418
29-0.036418-0.34930.636172
30-0.016727-0.16040.563557
31-0.055351-0.53090.70162
320.0280590.26910.394216
330.0192640.18480.426908
340.0574280.55080.291543
35-0.039226-0.37620.646199
36-0.035045-0.33610.631234
370.030090.28860.386762
380.0446450.42820.334746
39-0.036491-0.350.636434
40-0.042124-0.4040.656438
410.0598790.57430.28357
42-0.016434-0.15760.562454
43-0.010692-0.10260.540729
44-0.035054-0.33620.631266
45-0.04692-0.450.673129
460.0609950.5850.279975
470.001230.01180.495306
480.0347720.33350.36975
49-0.022586-0.21660.585516
500.0721220.69180.245412
51-0.02281-0.21880.586348
520.0222030.2130.415913
53-0.013606-0.13050.551774
540.0475590.45620.32467
55-0.005291-0.05070.520181
56-0.018282-0.17540.569408
57-0.038606-0.37030.643995
58-0.118362-1.13530.870398
59-0.035583-0.34130.633172

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & 0.920601 & 8.8301 & 0 \tabularnewline
1 & -0.268035 & -2.5709 & 0.994126 \tabularnewline
2 & 0.258389 & 2.4784 & 0.007511 \tabularnewline
3 & 0.098643 & 0.9462 & 0.173274 \tabularnewline
4 & 0.228405 & 2.1908 & 0.015497 \tabularnewline
5 & -0.067139 & -0.644 & 0.739403 \tabularnewline
6 & 0.017636 & 0.1692 & 0.433021 \tabularnewline
7 & 0.040779 & 0.3911 & 0.348301 \tabularnewline
8 & 0.251422 & 2.4116 & 0.008935 \tabularnewline
9 & 0.131912 & 1.2653 & 0.104488 \tabularnewline
10 & 0.196021 & 1.8802 & 0.031624 \tabularnewline
11 & -0.163048 & -1.5639 & 0.939363 \tabularnewline
12 & -0.522404 & -5.0107 & 0.999999 \tabularnewline
13 & -0.08441 & -0.8096 & 0.78988 \tabularnewline
14 & -0.131475 & -1.2611 & 0.894763 \tabularnewline
15 & -0.12732 & -1.2212 & 0.887436 \tabularnewline
16 & -0.054512 & -0.5229 & 0.698837 \tabularnewline
17 & -0.087076 & -0.8352 & 0.797116 \tabularnewline
18 & -0.01365 & -0.1309 & 0.551941 \tabularnewline
19 & -0.073032 & -0.7005 & 0.757308 \tabularnewline
20 & 0.009444 & 0.0906 & 0.464011 \tabularnewline
21 & -0.022432 & -0.2152 & 0.58494 \tabularnewline
22 & 0.126321 & 1.2116 & 0.114378 \tabularnewline
23 & 0.029397 & 0.282 & 0.389302 \tabularnewline
24 & -0.11523 & -1.1052 & 0.864032 \tabularnewline
25 & 0.099337 & 0.9528 & 0.171593 \tabularnewline
26 & -0.053218 & -0.5105 & 0.694521 \tabularnewline
27 & -0.003872 & -0.0371 & 0.514774 \tabularnewline
28 & -0.041482 & -0.3979 & 0.65418 \tabularnewline
29 & -0.036418 & -0.3493 & 0.636172 \tabularnewline
30 & -0.016727 & -0.1604 & 0.563557 \tabularnewline
31 & -0.055351 & -0.5309 & 0.70162 \tabularnewline
32 & 0.028059 & 0.2691 & 0.394216 \tabularnewline
33 & 0.019264 & 0.1848 & 0.426908 \tabularnewline
34 & 0.057428 & 0.5508 & 0.291543 \tabularnewline
35 & -0.039226 & -0.3762 & 0.646199 \tabularnewline
36 & -0.035045 & -0.3361 & 0.631234 \tabularnewline
37 & 0.03009 & 0.2886 & 0.386762 \tabularnewline
38 & 0.044645 & 0.4282 & 0.334746 \tabularnewline
39 & -0.036491 & -0.35 & 0.636434 \tabularnewline
40 & -0.042124 & -0.404 & 0.656438 \tabularnewline
41 & 0.059879 & 0.5743 & 0.28357 \tabularnewline
42 & -0.016434 & -0.1576 & 0.562454 \tabularnewline
43 & -0.010692 & -0.1026 & 0.540729 \tabularnewline
44 & -0.035054 & -0.3362 & 0.631266 \tabularnewline
45 & -0.04692 & -0.45 & 0.673129 \tabularnewline
46 & 0.060995 & 0.585 & 0.279975 \tabularnewline
47 & 0.00123 & 0.0118 & 0.495306 \tabularnewline
48 & 0.034772 & 0.3335 & 0.36975 \tabularnewline
49 & -0.022586 & -0.2166 & 0.585516 \tabularnewline
50 & 0.072122 & 0.6918 & 0.245412 \tabularnewline
51 & -0.02281 & -0.2188 & 0.586348 \tabularnewline
52 & 0.022203 & 0.213 & 0.415913 \tabularnewline
53 & -0.013606 & -0.1305 & 0.551774 \tabularnewline
54 & 0.047559 & 0.4562 & 0.32467 \tabularnewline
55 & -0.005291 & -0.0507 & 0.520181 \tabularnewline
56 & -0.018282 & -0.1754 & 0.569408 \tabularnewline
57 & -0.038606 & -0.3703 & 0.643995 \tabularnewline
58 & -0.118362 & -1.1353 & 0.870398 \tabularnewline
59 & -0.035583 & -0.3413 & 0.633172 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=3926&T=2

[TABLE]
[ROW][C]Partial Autocorrelation Function[/C][/ROW]
[ROW][C]Time lag k[/C][C]PACF(k)[/C][C]T-STAT[/C][C]P-value[/C][/ROW]
[ROW][C]0[/C][C]0.920601[/C][C]8.8301[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]-0.268035[/C][C]-2.5709[/C][C]0.994126[/C][/ROW]
[ROW][C]2[/C][C]0.258389[/C][C]2.4784[/C][C]0.007511[/C][/ROW]
[ROW][C]3[/C][C]0.098643[/C][C]0.9462[/C][C]0.173274[/C][/ROW]
[ROW][C]4[/C][C]0.228405[/C][C]2.1908[/C][C]0.015497[/C][/ROW]
[ROW][C]5[/C][C]-0.067139[/C][C]-0.644[/C][C]0.739403[/C][/ROW]
[ROW][C]6[/C][C]0.017636[/C][C]0.1692[/C][C]0.433021[/C][/ROW]
[ROW][C]7[/C][C]0.040779[/C][C]0.3911[/C][C]0.348301[/C][/ROW]
[ROW][C]8[/C][C]0.251422[/C][C]2.4116[/C][C]0.008935[/C][/ROW]
[ROW][C]9[/C][C]0.131912[/C][C]1.2653[/C][C]0.104488[/C][/ROW]
[ROW][C]10[/C][C]0.196021[/C][C]1.8802[/C][C]0.031624[/C][/ROW]
[ROW][C]11[/C][C]-0.163048[/C][C]-1.5639[/C][C]0.939363[/C][/ROW]
[ROW][C]12[/C][C]-0.522404[/C][C]-5.0107[/C][C]0.999999[/C][/ROW]
[ROW][C]13[/C][C]-0.08441[/C][C]-0.8096[/C][C]0.78988[/C][/ROW]
[ROW][C]14[/C][C]-0.131475[/C][C]-1.2611[/C][C]0.894763[/C][/ROW]
[ROW][C]15[/C][C]-0.12732[/C][C]-1.2212[/C][C]0.887436[/C][/ROW]
[ROW][C]16[/C][C]-0.054512[/C][C]-0.5229[/C][C]0.698837[/C][/ROW]
[ROW][C]17[/C][C]-0.087076[/C][C]-0.8352[/C][C]0.797116[/C][/ROW]
[ROW][C]18[/C][C]-0.01365[/C][C]-0.1309[/C][C]0.551941[/C][/ROW]
[ROW][C]19[/C][C]-0.073032[/C][C]-0.7005[/C][C]0.757308[/C][/ROW]
[ROW][C]20[/C][C]0.009444[/C][C]0.0906[/C][C]0.464011[/C][/ROW]
[ROW][C]21[/C][C]-0.022432[/C][C]-0.2152[/C][C]0.58494[/C][/ROW]
[ROW][C]22[/C][C]0.126321[/C][C]1.2116[/C][C]0.114378[/C][/ROW]
[ROW][C]23[/C][C]0.029397[/C][C]0.282[/C][C]0.389302[/C][/ROW]
[ROW][C]24[/C][C]-0.11523[/C][C]-1.1052[/C][C]0.864032[/C][/ROW]
[ROW][C]25[/C][C]0.099337[/C][C]0.9528[/C][C]0.171593[/C][/ROW]
[ROW][C]26[/C][C]-0.053218[/C][C]-0.5105[/C][C]0.694521[/C][/ROW]
[ROW][C]27[/C][C]-0.003872[/C][C]-0.0371[/C][C]0.514774[/C][/ROW]
[ROW][C]28[/C][C]-0.041482[/C][C]-0.3979[/C][C]0.65418[/C][/ROW]
[ROW][C]29[/C][C]-0.036418[/C][C]-0.3493[/C][C]0.636172[/C][/ROW]
[ROW][C]30[/C][C]-0.016727[/C][C]-0.1604[/C][C]0.563557[/C][/ROW]
[ROW][C]31[/C][C]-0.055351[/C][C]-0.5309[/C][C]0.70162[/C][/ROW]
[ROW][C]32[/C][C]0.028059[/C][C]0.2691[/C][C]0.394216[/C][/ROW]
[ROW][C]33[/C][C]0.019264[/C][C]0.1848[/C][C]0.426908[/C][/ROW]
[ROW][C]34[/C][C]0.057428[/C][C]0.5508[/C][C]0.291543[/C][/ROW]
[ROW][C]35[/C][C]-0.039226[/C][C]-0.3762[/C][C]0.646199[/C][/ROW]
[ROW][C]36[/C][C]-0.035045[/C][C]-0.3361[/C][C]0.631234[/C][/ROW]
[ROW][C]37[/C][C]0.03009[/C][C]0.2886[/C][C]0.386762[/C][/ROW]
[ROW][C]38[/C][C]0.044645[/C][C]0.4282[/C][C]0.334746[/C][/ROW]
[ROW][C]39[/C][C]-0.036491[/C][C]-0.35[/C][C]0.636434[/C][/ROW]
[ROW][C]40[/C][C]-0.042124[/C][C]-0.404[/C][C]0.656438[/C][/ROW]
[ROW][C]41[/C][C]0.059879[/C][C]0.5743[/C][C]0.28357[/C][/ROW]
[ROW][C]42[/C][C]-0.016434[/C][C]-0.1576[/C][C]0.562454[/C][/ROW]
[ROW][C]43[/C][C]-0.010692[/C][C]-0.1026[/C][C]0.540729[/C][/ROW]
[ROW][C]44[/C][C]-0.035054[/C][C]-0.3362[/C][C]0.631266[/C][/ROW]
[ROW][C]45[/C][C]-0.04692[/C][C]-0.45[/C][C]0.673129[/C][/ROW]
[ROW][C]46[/C][C]0.060995[/C][C]0.585[/C][C]0.279975[/C][/ROW]
[ROW][C]47[/C][C]0.00123[/C][C]0.0118[/C][C]0.495306[/C][/ROW]
[ROW][C]48[/C][C]0.034772[/C][C]0.3335[/C][C]0.36975[/C][/ROW]
[ROW][C]49[/C][C]-0.022586[/C][C]-0.2166[/C][C]0.585516[/C][/ROW]
[ROW][C]50[/C][C]0.072122[/C][C]0.6918[/C][C]0.245412[/C][/ROW]
[ROW][C]51[/C][C]-0.02281[/C][C]-0.2188[/C][C]0.586348[/C][/ROW]
[ROW][C]52[/C][C]0.022203[/C][C]0.213[/C][C]0.415913[/C][/ROW]
[ROW][C]53[/C][C]-0.013606[/C][C]-0.1305[/C][C]0.551774[/C][/ROW]
[ROW][C]54[/C][C]0.047559[/C][C]0.4562[/C][C]0.32467[/C][/ROW]
[ROW][C]55[/C][C]-0.005291[/C][C]-0.0507[/C][C]0.520181[/C][/ROW]
[ROW][C]56[/C][C]-0.018282[/C][C]-0.1754[/C][C]0.569408[/C][/ROW]
[ROW][C]57[/C][C]-0.038606[/C][C]-0.3703[/C][C]0.643995[/C][/ROW]
[ROW][C]58[/C][C]-0.118362[/C][C]-1.1353[/C][C]0.870398[/C][/ROW]
[ROW][C]59[/C][C]-0.035583[/C][C]-0.3413[/C][C]0.633172[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=3926&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=3926&T=2

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
00.9206018.83010
1-0.268035-2.57090.994126
20.2583892.47840.007511
30.0986430.94620.173274
40.2284052.19080.015497
5-0.067139-0.6440.739403
60.0176360.16920.433021
70.0407790.39110.348301
80.2514222.41160.008935
90.1319121.26530.104488
100.1960211.88020.031624
11-0.163048-1.56390.939363
12-0.522404-5.01070.999999
13-0.08441-0.80960.78988
14-0.131475-1.26110.894763
15-0.12732-1.22120.887436
16-0.054512-0.52290.698837
17-0.087076-0.83520.797116
18-0.01365-0.13090.551941
19-0.073032-0.70050.757308
200.0094440.09060.464011
21-0.022432-0.21520.58494
220.1263211.21160.114378
230.0293970.2820.389302
24-0.11523-1.10520.864032
250.0993370.95280.171593
26-0.053218-0.51050.694521
27-0.003872-0.03710.514774
28-0.041482-0.39790.65418
29-0.036418-0.34930.636172
30-0.016727-0.16040.563557
31-0.055351-0.53090.70162
320.0280590.26910.394216
330.0192640.18480.426908
340.0574280.55080.291543
35-0.039226-0.37620.646199
36-0.035045-0.33610.631234
370.030090.28860.386762
380.0446450.42820.334746
39-0.036491-0.350.636434
40-0.042124-0.4040.656438
410.0598790.57430.28357
42-0.016434-0.15760.562454
43-0.010692-0.10260.540729
44-0.035054-0.33620.631266
45-0.04692-0.450.673129
460.0609950.5850.279975
470.001230.01180.495306
480.0347720.33350.36975
49-0.022586-0.21660.585516
500.0721220.69180.245412
51-0.02281-0.21880.586348
520.0222030.2130.415913
53-0.013606-0.13050.551774
540.0475590.45620.32467
55-0.005291-0.05070.520181
56-0.018282-0.17540.569408
57-0.038606-0.37030.643995
58-0.118362-1.13530.870398
59-0.035583-0.34130.633172



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 1:par1) {
a<-table.row.start(a)
a<-table.element(a,i-1,header=TRUE)
a<-table.element(a,round(myacf[i],6))
mytstat <- myacf[i]*sqrtn
a<-table.element(a,round(mytstat,4))
a<-table.element(a,round(1-pt(mytstat,lengthx),6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Partial Autocorrelation Function',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Time lag k',header=TRUE)
a<-table.element(a,hyperlink('basics.htm','PACF(k)','click here for more information about the Partial Autocorrelation Function'),header=TRUE)
a<-table.element(a,'T-STAT',header=TRUE)
a<-table.element(a,'P-value',header=TRUE)
a<-table.row.end(a)
for (i in 1:par1) {
a<-table.row.start(a)
a<-table.element(a,i-1,header=TRUE)
a<-table.element(a,round(mypacf[i],6))
mytstat <- mypacf[i]*sqrtn
a<-table.element(a,round(mytstat,4))
a<-table.element(a,round(1-pt(mytstat,lengthx),6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')