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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationTue, 18 Dec 2007 03:05:00 -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/18/t119797128742egmivcffkp0e9.htm/, Retrieved Sat, 04 May 2024 09:29:26 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=4474, Retrieved Sat, 04 May 2024 09:29:26 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact233
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [autocorrelatie lpg] [2007-12-18 10:05:00] [d02236afd58a58d13a748bbf41a37c2e] [Current]
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Dataseries X:
575
591
603
653
593
674
687
525
621
654
469
561
514
569
654
598
555
598
624
592
580
616
548
543
492
513
546
638
582
655
539
560
577
513
514
471
542
522
638
543
531
600
554
528
551
511
494
384
482
463
565
521
549
610
558
489
359
551
459
490




Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 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 & 2 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=4474&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]2 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=4474&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=4474&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 time2 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001







Autocorrelation Function
Time lag kACF(k)T-STATP-value
017.7460
10.3759572.91220.002517
20.3134362.42790.009102
30.242961.8820.032347
40.0450750.34910.3641
50.0009280.00720.497146
6-0.020031-0.15520.561392
70.0279170.21620.414765
80.1121630.86880.194207
90.2895972.24320.014294
100.2002511.55110.063064
110.2485411.92520.029475
120.349732.7090.004391
130.2233791.73030.04436
140.1438011.11390.134886
150.0858260.66480.254362
160.0036080.02790.488898
17-0.095735-0.74160.769376
18-0.137519-1.06520.854477
19-0.095808-0.74210.769547
20-0.096466-0.74720.771076
210.0788340.61060.271871
220.0467750.36230.359194
230.2201011.70490.046694
240.1595131.23560.110715
250.0671450.52010.302452
26-0.027151-0.21030.582932
27-0.116793-0.90470.815371
28-0.181861-1.40870.917956
29-0.22953-1.77790.959759
30-0.138764-1.07490.856629
31-0.150603-1.16660.875999
32-0.031933-0.24740.59726
33-0.026891-0.20830.582149
34-0.071184-0.55140.708293
350.0036460.02820.488782
360.0149960.11620.453958
37-0.055857-0.43270.666597
38-0.140277-1.08660.859216
39-0.087992-0.68160.750937
40-0.141918-1.09930.861985
41-0.231813-1.79560.961204
42-0.240647-1.8640.966395
43-0.193605-1.49970.930527
44-0.130343-1.00960.841636
45-0.096802-0.74980.771856
46-0.049944-0.38690.649886
47-0.102419-0.79330.784644
48-0.017545-0.13590.553824
49-0.032923-0.2550.600211
50-0.1681-1.30210.90107
51-0.10255-0.79430.784938
52-0.092112-0.71350.760848
53-0.16473-1.2760.896562
54-0.093754-0.72620.764735
55-0.081652-0.63250.735259
56-0.060083-0.46540.678336
57-0.026581-0.20590.581215
58-0.017052-0.13210.55232
59-0.005211-0.04040.516033

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 7.746 & 0 \tabularnewline
1 & 0.375957 & 2.9122 & 0.002517 \tabularnewline
2 & 0.313436 & 2.4279 & 0.009102 \tabularnewline
3 & 0.24296 & 1.882 & 0.032347 \tabularnewline
4 & 0.045075 & 0.3491 & 0.3641 \tabularnewline
5 & 0.000928 & 0.0072 & 0.497146 \tabularnewline
6 & -0.020031 & -0.1552 & 0.561392 \tabularnewline
7 & 0.027917 & 0.2162 & 0.414765 \tabularnewline
8 & 0.112163 & 0.8688 & 0.194207 \tabularnewline
9 & 0.289597 & 2.2432 & 0.014294 \tabularnewline
10 & 0.200251 & 1.5511 & 0.063064 \tabularnewline
11 & 0.248541 & 1.9252 & 0.029475 \tabularnewline
12 & 0.34973 & 2.709 & 0.004391 \tabularnewline
13 & 0.223379 & 1.7303 & 0.04436 \tabularnewline
14 & 0.143801 & 1.1139 & 0.134886 \tabularnewline
15 & 0.085826 & 0.6648 & 0.254362 \tabularnewline
16 & 0.003608 & 0.0279 & 0.488898 \tabularnewline
17 & -0.095735 & -0.7416 & 0.769376 \tabularnewline
18 & -0.137519 & -1.0652 & 0.854477 \tabularnewline
19 & -0.095808 & -0.7421 & 0.769547 \tabularnewline
20 & -0.096466 & -0.7472 & 0.771076 \tabularnewline
21 & 0.078834 & 0.6106 & 0.271871 \tabularnewline
22 & 0.046775 & 0.3623 & 0.359194 \tabularnewline
23 & 0.220101 & 1.7049 & 0.046694 \tabularnewline
24 & 0.159513 & 1.2356 & 0.110715 \tabularnewline
25 & 0.067145 & 0.5201 & 0.302452 \tabularnewline
26 & -0.027151 & -0.2103 & 0.582932 \tabularnewline
27 & -0.116793 & -0.9047 & 0.815371 \tabularnewline
28 & -0.181861 & -1.4087 & 0.917956 \tabularnewline
29 & -0.22953 & -1.7779 & 0.959759 \tabularnewline
30 & -0.138764 & -1.0749 & 0.856629 \tabularnewline
31 & -0.150603 & -1.1666 & 0.875999 \tabularnewline
32 & -0.031933 & -0.2474 & 0.59726 \tabularnewline
33 & -0.026891 & -0.2083 & 0.582149 \tabularnewline
34 & -0.071184 & -0.5514 & 0.708293 \tabularnewline
35 & 0.003646 & 0.0282 & 0.488782 \tabularnewline
36 & 0.014996 & 0.1162 & 0.453958 \tabularnewline
37 & -0.055857 & -0.4327 & 0.666597 \tabularnewline
38 & -0.140277 & -1.0866 & 0.859216 \tabularnewline
39 & -0.087992 & -0.6816 & 0.750937 \tabularnewline
40 & -0.141918 & -1.0993 & 0.861985 \tabularnewline
41 & -0.231813 & -1.7956 & 0.961204 \tabularnewline
42 & -0.240647 & -1.864 & 0.966395 \tabularnewline
43 & -0.193605 & -1.4997 & 0.930527 \tabularnewline
44 & -0.130343 & -1.0096 & 0.841636 \tabularnewline
45 & -0.096802 & -0.7498 & 0.771856 \tabularnewline
46 & -0.049944 & -0.3869 & 0.649886 \tabularnewline
47 & -0.102419 & -0.7933 & 0.784644 \tabularnewline
48 & -0.017545 & -0.1359 & 0.553824 \tabularnewline
49 & -0.032923 & -0.255 & 0.600211 \tabularnewline
50 & -0.1681 & -1.3021 & 0.90107 \tabularnewline
51 & -0.10255 & -0.7943 & 0.784938 \tabularnewline
52 & -0.092112 & -0.7135 & 0.760848 \tabularnewline
53 & -0.16473 & -1.276 & 0.896562 \tabularnewline
54 & -0.093754 & -0.7262 & 0.764735 \tabularnewline
55 & -0.081652 & -0.6325 & 0.735259 \tabularnewline
56 & -0.060083 & -0.4654 & 0.678336 \tabularnewline
57 & -0.026581 & -0.2059 & 0.581215 \tabularnewline
58 & -0.017052 & -0.1321 & 0.55232 \tabularnewline
59 & -0.005211 & -0.0404 & 0.516033 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=4474&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]7.746[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]0.375957[/C][C]2.9122[/C][C]0.002517[/C][/ROW]
[ROW][C]2[/C][C]0.313436[/C][C]2.4279[/C][C]0.009102[/C][/ROW]
[ROW][C]3[/C][C]0.24296[/C][C]1.882[/C][C]0.032347[/C][/ROW]
[ROW][C]4[/C][C]0.045075[/C][C]0.3491[/C][C]0.3641[/C][/ROW]
[ROW][C]5[/C][C]0.000928[/C][C]0.0072[/C][C]0.497146[/C][/ROW]
[ROW][C]6[/C][C]-0.020031[/C][C]-0.1552[/C][C]0.561392[/C][/ROW]
[ROW][C]7[/C][C]0.027917[/C][C]0.2162[/C][C]0.414765[/C][/ROW]
[ROW][C]8[/C][C]0.112163[/C][C]0.8688[/C][C]0.194207[/C][/ROW]
[ROW][C]9[/C][C]0.289597[/C][C]2.2432[/C][C]0.014294[/C][/ROW]
[ROW][C]10[/C][C]0.200251[/C][C]1.5511[/C][C]0.063064[/C][/ROW]
[ROW][C]11[/C][C]0.248541[/C][C]1.9252[/C][C]0.029475[/C][/ROW]
[ROW][C]12[/C][C]0.34973[/C][C]2.709[/C][C]0.004391[/C][/ROW]
[ROW][C]13[/C][C]0.223379[/C][C]1.7303[/C][C]0.04436[/C][/ROW]
[ROW][C]14[/C][C]0.143801[/C][C]1.1139[/C][C]0.134886[/C][/ROW]
[ROW][C]15[/C][C]0.085826[/C][C]0.6648[/C][C]0.254362[/C][/ROW]
[ROW][C]16[/C][C]0.003608[/C][C]0.0279[/C][C]0.488898[/C][/ROW]
[ROW][C]17[/C][C]-0.095735[/C][C]-0.7416[/C][C]0.769376[/C][/ROW]
[ROW][C]18[/C][C]-0.137519[/C][C]-1.0652[/C][C]0.854477[/C][/ROW]
[ROW][C]19[/C][C]-0.095808[/C][C]-0.7421[/C][C]0.769547[/C][/ROW]
[ROW][C]20[/C][C]-0.096466[/C][C]-0.7472[/C][C]0.771076[/C][/ROW]
[ROW][C]21[/C][C]0.078834[/C][C]0.6106[/C][C]0.271871[/C][/ROW]
[ROW][C]22[/C][C]0.046775[/C][C]0.3623[/C][C]0.359194[/C][/ROW]
[ROW][C]23[/C][C]0.220101[/C][C]1.7049[/C][C]0.046694[/C][/ROW]
[ROW][C]24[/C][C]0.159513[/C][C]1.2356[/C][C]0.110715[/C][/ROW]
[ROW][C]25[/C][C]0.067145[/C][C]0.5201[/C][C]0.302452[/C][/ROW]
[ROW][C]26[/C][C]-0.027151[/C][C]-0.2103[/C][C]0.582932[/C][/ROW]
[ROW][C]27[/C][C]-0.116793[/C][C]-0.9047[/C][C]0.815371[/C][/ROW]
[ROW][C]28[/C][C]-0.181861[/C][C]-1.4087[/C][C]0.917956[/C][/ROW]
[ROW][C]29[/C][C]-0.22953[/C][C]-1.7779[/C][C]0.959759[/C][/ROW]
[ROW][C]30[/C][C]-0.138764[/C][C]-1.0749[/C][C]0.856629[/C][/ROW]
[ROW][C]31[/C][C]-0.150603[/C][C]-1.1666[/C][C]0.875999[/C][/ROW]
[ROW][C]32[/C][C]-0.031933[/C][C]-0.2474[/C][C]0.59726[/C][/ROW]
[ROW][C]33[/C][C]-0.026891[/C][C]-0.2083[/C][C]0.582149[/C][/ROW]
[ROW][C]34[/C][C]-0.071184[/C][C]-0.5514[/C][C]0.708293[/C][/ROW]
[ROW][C]35[/C][C]0.003646[/C][C]0.0282[/C][C]0.488782[/C][/ROW]
[ROW][C]36[/C][C]0.014996[/C][C]0.1162[/C][C]0.453958[/C][/ROW]
[ROW][C]37[/C][C]-0.055857[/C][C]-0.4327[/C][C]0.666597[/C][/ROW]
[ROW][C]38[/C][C]-0.140277[/C][C]-1.0866[/C][C]0.859216[/C][/ROW]
[ROW][C]39[/C][C]-0.087992[/C][C]-0.6816[/C][C]0.750937[/C][/ROW]
[ROW][C]40[/C][C]-0.141918[/C][C]-1.0993[/C][C]0.861985[/C][/ROW]
[ROW][C]41[/C][C]-0.231813[/C][C]-1.7956[/C][C]0.961204[/C][/ROW]
[ROW][C]42[/C][C]-0.240647[/C][C]-1.864[/C][C]0.966395[/C][/ROW]
[ROW][C]43[/C][C]-0.193605[/C][C]-1.4997[/C][C]0.930527[/C][/ROW]
[ROW][C]44[/C][C]-0.130343[/C][C]-1.0096[/C][C]0.841636[/C][/ROW]
[ROW][C]45[/C][C]-0.096802[/C][C]-0.7498[/C][C]0.771856[/C][/ROW]
[ROW][C]46[/C][C]-0.049944[/C][C]-0.3869[/C][C]0.649886[/C][/ROW]
[ROW][C]47[/C][C]-0.102419[/C][C]-0.7933[/C][C]0.784644[/C][/ROW]
[ROW][C]48[/C][C]-0.017545[/C][C]-0.1359[/C][C]0.553824[/C][/ROW]
[ROW][C]49[/C][C]-0.032923[/C][C]-0.255[/C][C]0.600211[/C][/ROW]
[ROW][C]50[/C][C]-0.1681[/C][C]-1.3021[/C][C]0.90107[/C][/ROW]
[ROW][C]51[/C][C]-0.10255[/C][C]-0.7943[/C][C]0.784938[/C][/ROW]
[ROW][C]52[/C][C]-0.092112[/C][C]-0.7135[/C][C]0.760848[/C][/ROW]
[ROW][C]53[/C][C]-0.16473[/C][C]-1.276[/C][C]0.896562[/C][/ROW]
[ROW][C]54[/C][C]-0.093754[/C][C]-0.7262[/C][C]0.764735[/C][/ROW]
[ROW][C]55[/C][C]-0.081652[/C][C]-0.6325[/C][C]0.735259[/C][/ROW]
[ROW][C]56[/C][C]-0.060083[/C][C]-0.4654[/C][C]0.678336[/C][/ROW]
[ROW][C]57[/C][C]-0.026581[/C][C]-0.2059[/C][C]0.581215[/C][/ROW]
[ROW][C]58[/C][C]-0.017052[/C][C]-0.1321[/C][C]0.55232[/C][/ROW]
[ROW][C]59[/C][C]-0.005211[/C][C]-0.0404[/C][C]0.516033[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=4474&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=4474&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
017.7460
10.3759572.91220.002517
20.3134362.42790.009102
30.242961.8820.032347
40.0450750.34910.3641
50.0009280.00720.497146
6-0.020031-0.15520.561392
70.0279170.21620.414765
80.1121630.86880.194207
90.2895972.24320.014294
100.2002511.55110.063064
110.2485411.92520.029475
120.349732.7090.004391
130.2233791.73030.04436
140.1438011.11390.134886
150.0858260.66480.254362
160.0036080.02790.488898
17-0.095735-0.74160.769376
18-0.137519-1.06520.854477
19-0.095808-0.74210.769547
20-0.096466-0.74720.771076
210.0788340.61060.271871
220.0467750.36230.359194
230.2201011.70490.046694
240.1595131.23560.110715
250.0671450.52010.302452
26-0.027151-0.21030.582932
27-0.116793-0.90470.815371
28-0.181861-1.40870.917956
29-0.22953-1.77790.959759
30-0.138764-1.07490.856629
31-0.150603-1.16660.875999
32-0.031933-0.24740.59726
33-0.026891-0.20830.582149
34-0.071184-0.55140.708293
350.0036460.02820.488782
360.0149960.11620.453958
37-0.055857-0.43270.666597
38-0.140277-1.08660.859216
39-0.087992-0.68160.750937
40-0.141918-1.09930.861985
41-0.231813-1.79560.961204
42-0.240647-1.8640.966395
43-0.193605-1.49970.930527
44-0.130343-1.00960.841636
45-0.096802-0.74980.771856
46-0.049944-0.38690.649886
47-0.102419-0.79330.784644
48-0.017545-0.13590.553824
49-0.032923-0.2550.600211
50-0.1681-1.30210.90107
51-0.10255-0.79430.784938
52-0.092112-0.71350.760848
53-0.16473-1.2760.896562
54-0.093754-0.72620.764735
55-0.081652-0.63250.735259
56-0.060083-0.46540.678336
57-0.026581-0.20590.581215
58-0.017052-0.13210.55232
59-0.005211-0.04040.516033







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
00.3759572.91220.002517
10.200421.55250.062907
20.0890470.68980.246503
3-0.136408-1.05660.852538
4-0.0611-0.47330.681134
5-0.004254-0.03290.513088
60.0951460.7370.231999
70.1357161.05120.14868
80.2658142.0590.021922
9-0.017223-0.13340.552842
100.0397120.30760.379723
110.1904411.47520.0727
120.0603610.46760.320899
13-0.033519-0.25960.601985
14-0.034923-0.27050.606154
15-0.048037-0.37210.644432
16-0.140481-1.08820.859562
17-0.16027-1.24140.890364
18-0.016646-0.12890.551082
19-0.092276-0.71480.761238
200.0485150.37580.354197
21-0.056279-0.43590.667776
220.189831.47040.073337
23-0.052035-0.40310.655832
24-0.076511-0.59260.722178
25-0.096848-0.75020.771962
26-0.012389-0.0960.538067
27-0.067258-0.5210.697851
28-0.006327-0.0490.519464
290.0714160.55320.291096
30-0.025956-0.20110.579333
31-0.010578-0.08190.532515
32-0.046188-0.35780.639115
33-0.093687-0.72570.764577
34-0.029992-0.23230.591458
350.0558130.43230.333529
360.0122760.09510.462281
37-0.116479-0.90220.814733
380.0477080.36950.356513
390.0419770.32510.373099
40-0.062554-0.48450.685116
41-0.155622-1.20540.883618
420.0715310.55410.290791
43-0.034197-0.26490.604
44-0.050885-0.39420.652567
45-0.026222-0.20310.580134
46-0.087184-0.67530.748968
47-0.015981-0.12380.549051
480.0725870.56230.288018
490.020490.15870.437212
500.0436410.3380.368255
510.0486460.37680.353822
52-0.06694-0.51850.696997
530.0649420.5030.308388
54-0.014487-0.11220.544486
550.0390120.30220.381776
560.0417750.32360.373688
57-0.005803-0.04490.517851
580.0376750.29180.385713
59NANANA

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & 0.375957 & 2.9122 & 0.002517 \tabularnewline
1 & 0.20042 & 1.5525 & 0.062907 \tabularnewline
2 & 0.089047 & 0.6898 & 0.246503 \tabularnewline
3 & -0.136408 & -1.0566 & 0.852538 \tabularnewline
4 & -0.0611 & -0.4733 & 0.681134 \tabularnewline
5 & -0.004254 & -0.0329 & 0.513088 \tabularnewline
6 & 0.095146 & 0.737 & 0.231999 \tabularnewline
7 & 0.135716 & 1.0512 & 0.14868 \tabularnewline
8 & 0.265814 & 2.059 & 0.021922 \tabularnewline
9 & -0.017223 & -0.1334 & 0.552842 \tabularnewline
10 & 0.039712 & 0.3076 & 0.379723 \tabularnewline
11 & 0.190441 & 1.4752 & 0.0727 \tabularnewline
12 & 0.060361 & 0.4676 & 0.320899 \tabularnewline
13 & -0.033519 & -0.2596 & 0.601985 \tabularnewline
14 & -0.034923 & -0.2705 & 0.606154 \tabularnewline
15 & -0.048037 & -0.3721 & 0.644432 \tabularnewline
16 & -0.140481 & -1.0882 & 0.859562 \tabularnewline
17 & -0.16027 & -1.2414 & 0.890364 \tabularnewline
18 & -0.016646 & -0.1289 & 0.551082 \tabularnewline
19 & -0.092276 & -0.7148 & 0.761238 \tabularnewline
20 & 0.048515 & 0.3758 & 0.354197 \tabularnewline
21 & -0.056279 & -0.4359 & 0.667776 \tabularnewline
22 & 0.18983 & 1.4704 & 0.073337 \tabularnewline
23 & -0.052035 & -0.4031 & 0.655832 \tabularnewline
24 & -0.076511 & -0.5926 & 0.722178 \tabularnewline
25 & -0.096848 & -0.7502 & 0.771962 \tabularnewline
26 & -0.012389 & -0.096 & 0.538067 \tabularnewline
27 & -0.067258 & -0.521 & 0.697851 \tabularnewline
28 & -0.006327 & -0.049 & 0.519464 \tabularnewline
29 & 0.071416 & 0.5532 & 0.291096 \tabularnewline
30 & -0.025956 & -0.2011 & 0.579333 \tabularnewline
31 & -0.010578 & -0.0819 & 0.532515 \tabularnewline
32 & -0.046188 & -0.3578 & 0.639115 \tabularnewline
33 & -0.093687 & -0.7257 & 0.764577 \tabularnewline
34 & -0.029992 & -0.2323 & 0.591458 \tabularnewline
35 & 0.055813 & 0.4323 & 0.333529 \tabularnewline
36 & 0.012276 & 0.0951 & 0.462281 \tabularnewline
37 & -0.116479 & -0.9022 & 0.814733 \tabularnewline
38 & 0.047708 & 0.3695 & 0.356513 \tabularnewline
39 & 0.041977 & 0.3251 & 0.373099 \tabularnewline
40 & -0.062554 & -0.4845 & 0.685116 \tabularnewline
41 & -0.155622 & -1.2054 & 0.883618 \tabularnewline
42 & 0.071531 & 0.5541 & 0.290791 \tabularnewline
43 & -0.034197 & -0.2649 & 0.604 \tabularnewline
44 & -0.050885 & -0.3942 & 0.652567 \tabularnewline
45 & -0.026222 & -0.2031 & 0.580134 \tabularnewline
46 & -0.087184 & -0.6753 & 0.748968 \tabularnewline
47 & -0.015981 & -0.1238 & 0.549051 \tabularnewline
48 & 0.072587 & 0.5623 & 0.288018 \tabularnewline
49 & 0.02049 & 0.1587 & 0.437212 \tabularnewline
50 & 0.043641 & 0.338 & 0.368255 \tabularnewline
51 & 0.048646 & 0.3768 & 0.353822 \tabularnewline
52 & -0.06694 & -0.5185 & 0.696997 \tabularnewline
53 & 0.064942 & 0.503 & 0.308388 \tabularnewline
54 & -0.014487 & -0.1122 & 0.544486 \tabularnewline
55 & 0.039012 & 0.3022 & 0.381776 \tabularnewline
56 & 0.041775 & 0.3236 & 0.373688 \tabularnewline
57 & -0.005803 & -0.0449 & 0.517851 \tabularnewline
58 & 0.037675 & 0.2918 & 0.385713 \tabularnewline
59 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=4474&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]0.375957[/C][C]2.9122[/C][C]0.002517[/C][/ROW]
[ROW][C]1[/C][C]0.20042[/C][C]1.5525[/C][C]0.062907[/C][/ROW]
[ROW][C]2[/C][C]0.089047[/C][C]0.6898[/C][C]0.246503[/C][/ROW]
[ROW][C]3[/C][C]-0.136408[/C][C]-1.0566[/C][C]0.852538[/C][/ROW]
[ROW][C]4[/C][C]-0.0611[/C][C]-0.4733[/C][C]0.681134[/C][/ROW]
[ROW][C]5[/C][C]-0.004254[/C][C]-0.0329[/C][C]0.513088[/C][/ROW]
[ROW][C]6[/C][C]0.095146[/C][C]0.737[/C][C]0.231999[/C][/ROW]
[ROW][C]7[/C][C]0.135716[/C][C]1.0512[/C][C]0.14868[/C][/ROW]
[ROW][C]8[/C][C]0.265814[/C][C]2.059[/C][C]0.021922[/C][/ROW]
[ROW][C]9[/C][C]-0.017223[/C][C]-0.1334[/C][C]0.552842[/C][/ROW]
[ROW][C]10[/C][C]0.039712[/C][C]0.3076[/C][C]0.379723[/C][/ROW]
[ROW][C]11[/C][C]0.190441[/C][C]1.4752[/C][C]0.0727[/C][/ROW]
[ROW][C]12[/C][C]0.060361[/C][C]0.4676[/C][C]0.320899[/C][/ROW]
[ROW][C]13[/C][C]-0.033519[/C][C]-0.2596[/C][C]0.601985[/C][/ROW]
[ROW][C]14[/C][C]-0.034923[/C][C]-0.2705[/C][C]0.606154[/C][/ROW]
[ROW][C]15[/C][C]-0.048037[/C][C]-0.3721[/C][C]0.644432[/C][/ROW]
[ROW][C]16[/C][C]-0.140481[/C][C]-1.0882[/C][C]0.859562[/C][/ROW]
[ROW][C]17[/C][C]-0.16027[/C][C]-1.2414[/C][C]0.890364[/C][/ROW]
[ROW][C]18[/C][C]-0.016646[/C][C]-0.1289[/C][C]0.551082[/C][/ROW]
[ROW][C]19[/C][C]-0.092276[/C][C]-0.7148[/C][C]0.761238[/C][/ROW]
[ROW][C]20[/C][C]0.048515[/C][C]0.3758[/C][C]0.354197[/C][/ROW]
[ROW][C]21[/C][C]-0.056279[/C][C]-0.4359[/C][C]0.667776[/C][/ROW]
[ROW][C]22[/C][C]0.18983[/C][C]1.4704[/C][C]0.073337[/C][/ROW]
[ROW][C]23[/C][C]-0.052035[/C][C]-0.4031[/C][C]0.655832[/C][/ROW]
[ROW][C]24[/C][C]-0.076511[/C][C]-0.5926[/C][C]0.722178[/C][/ROW]
[ROW][C]25[/C][C]-0.096848[/C][C]-0.7502[/C][C]0.771962[/C][/ROW]
[ROW][C]26[/C][C]-0.012389[/C][C]-0.096[/C][C]0.538067[/C][/ROW]
[ROW][C]27[/C][C]-0.067258[/C][C]-0.521[/C][C]0.697851[/C][/ROW]
[ROW][C]28[/C][C]-0.006327[/C][C]-0.049[/C][C]0.519464[/C][/ROW]
[ROW][C]29[/C][C]0.071416[/C][C]0.5532[/C][C]0.291096[/C][/ROW]
[ROW][C]30[/C][C]-0.025956[/C][C]-0.2011[/C][C]0.579333[/C][/ROW]
[ROW][C]31[/C][C]-0.010578[/C][C]-0.0819[/C][C]0.532515[/C][/ROW]
[ROW][C]32[/C][C]-0.046188[/C][C]-0.3578[/C][C]0.639115[/C][/ROW]
[ROW][C]33[/C][C]-0.093687[/C][C]-0.7257[/C][C]0.764577[/C][/ROW]
[ROW][C]34[/C][C]-0.029992[/C][C]-0.2323[/C][C]0.591458[/C][/ROW]
[ROW][C]35[/C][C]0.055813[/C][C]0.4323[/C][C]0.333529[/C][/ROW]
[ROW][C]36[/C][C]0.012276[/C][C]0.0951[/C][C]0.462281[/C][/ROW]
[ROW][C]37[/C][C]-0.116479[/C][C]-0.9022[/C][C]0.814733[/C][/ROW]
[ROW][C]38[/C][C]0.047708[/C][C]0.3695[/C][C]0.356513[/C][/ROW]
[ROW][C]39[/C][C]0.041977[/C][C]0.3251[/C][C]0.373099[/C][/ROW]
[ROW][C]40[/C][C]-0.062554[/C][C]-0.4845[/C][C]0.685116[/C][/ROW]
[ROW][C]41[/C][C]-0.155622[/C][C]-1.2054[/C][C]0.883618[/C][/ROW]
[ROW][C]42[/C][C]0.071531[/C][C]0.5541[/C][C]0.290791[/C][/ROW]
[ROW][C]43[/C][C]-0.034197[/C][C]-0.2649[/C][C]0.604[/C][/ROW]
[ROW][C]44[/C][C]-0.050885[/C][C]-0.3942[/C][C]0.652567[/C][/ROW]
[ROW][C]45[/C][C]-0.026222[/C][C]-0.2031[/C][C]0.580134[/C][/ROW]
[ROW][C]46[/C][C]-0.087184[/C][C]-0.6753[/C][C]0.748968[/C][/ROW]
[ROW][C]47[/C][C]-0.015981[/C][C]-0.1238[/C][C]0.549051[/C][/ROW]
[ROW][C]48[/C][C]0.072587[/C][C]0.5623[/C][C]0.288018[/C][/ROW]
[ROW][C]49[/C][C]0.02049[/C][C]0.1587[/C][C]0.437212[/C][/ROW]
[ROW][C]50[/C][C]0.043641[/C][C]0.338[/C][C]0.368255[/C][/ROW]
[ROW][C]51[/C][C]0.048646[/C][C]0.3768[/C][C]0.353822[/C][/ROW]
[ROW][C]52[/C][C]-0.06694[/C][C]-0.5185[/C][C]0.696997[/C][/ROW]
[ROW][C]53[/C][C]0.064942[/C][C]0.503[/C][C]0.308388[/C][/ROW]
[ROW][C]54[/C][C]-0.014487[/C][C]-0.1122[/C][C]0.544486[/C][/ROW]
[ROW][C]55[/C][C]0.039012[/C][C]0.3022[/C][C]0.381776[/C][/ROW]
[ROW][C]56[/C][C]0.041775[/C][C]0.3236[/C][C]0.373688[/C][/ROW]
[ROW][C]57[/C][C]-0.005803[/C][C]-0.0449[/C][C]0.517851[/C][/ROW]
[ROW][C]58[/C][C]0.037675[/C][C]0.2918[/C][C]0.385713[/C][/ROW]
[ROW][C]59[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=4474&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=4474&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
00.3759572.91220.002517
10.200421.55250.062907
20.0890470.68980.246503
3-0.136408-1.05660.852538
4-0.0611-0.47330.681134
5-0.004254-0.03290.513088
60.0951460.7370.231999
70.1357161.05120.14868
80.2658142.0590.021922
9-0.017223-0.13340.552842
100.0397120.30760.379723
110.1904411.47520.0727
120.0603610.46760.320899
13-0.033519-0.25960.601985
14-0.034923-0.27050.606154
15-0.048037-0.37210.644432
16-0.140481-1.08820.859562
17-0.16027-1.24140.890364
18-0.016646-0.12890.551082
19-0.092276-0.71480.761238
200.0485150.37580.354197
21-0.056279-0.43590.667776
220.189831.47040.073337
23-0.052035-0.40310.655832
24-0.076511-0.59260.722178
25-0.096848-0.75020.771962
26-0.012389-0.0960.538067
27-0.067258-0.5210.697851
28-0.006327-0.0490.519464
290.0714160.55320.291096
30-0.025956-0.20110.579333
31-0.010578-0.08190.532515
32-0.046188-0.35780.639115
33-0.093687-0.72570.764577
34-0.029992-0.23230.591458
350.0558130.43230.333529
360.0122760.09510.462281
37-0.116479-0.90220.814733
380.0477080.36950.356513
390.0419770.32510.373099
40-0.062554-0.48450.685116
41-0.155622-1.20540.883618
420.0715310.55410.290791
43-0.034197-0.26490.604
44-0.050885-0.39420.652567
45-0.026222-0.20310.580134
46-0.087184-0.67530.748968
47-0.015981-0.12380.549051
480.0725870.56230.288018
490.020490.15870.437212
500.0436410.3380.368255
510.0486460.37680.353822
52-0.06694-0.51850.696997
530.0649420.5030.308388
54-0.014487-0.11220.544486
550.0390120.30220.381776
560.0417750.32360.373688
57-0.005803-0.04490.517851
580.0376750.29180.385713
59NANANA



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')