Free Statistics

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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 computationSun, 07 Dec 2008 07:47:46 -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/07/t1228661335t3lbrbst8hybmpj.htm/, Retrieved Sun, 19 May 2024 10:22:00 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=30028, Retrieved Sun, 19 May 2024 10:22:00 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact217
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [Univariate Data Series] [Airline data] [2007-10-18 09:58:47] [42daae401fd3def69a25014f2252b4c2]
- RMPD  [Standard Deviation-Mean Plot] [Q5] [2008-11-29 20:10:39] [57fa5e3679c393aa19449b2f1be9928b]
-   P     [Standard Deviation-Mean Plot] [Q5] [2008-11-29 20:18:39] [57fa5e3679c393aa19449b2f1be9928b]
- RM        [Variance Reduction Matrix] [Q6 Variance] [2008-11-29 20:25:29] [57fa5e3679c393aa19449b2f1be9928b]
- RM          [(Partial) Autocorrelation Function] [Q6 ACF] [2008-11-29 20:35:57] [57fa5e3679c393aa19449b2f1be9928b]
-               [(Partial) Autocorrelation Function] [Q6 aangepaste ACF] [2008-11-29 20:44:03] [57fa5e3679c393aa19449b2f1be9928b]
- RM D            [Cross Correlation Function] [Q7] [2008-11-29 20:55:14] [57fa5e3679c393aa19449b2f1be9928b]
F RM D              [Standard Deviation-Mean Plot] [Q8 Mean plot insc...] [2008-11-29 21:03:17] [57fa5e3679c393aa19449b2f1be9928b]
F RM                  [Variance Reduction Matrix] [Q8 VRM Inschrijvi...] [2008-11-29 21:06:11] [57fa5e3679c393aa19449b2f1be9928b]
- RM                      [(Partial) Autocorrelation Function] [Q2 inschrijvingen...] [2008-12-07 14:47:46] [270782e2502ae87124d0ebdcd1862d6a] [Current]
- RM                        [Spectral Analysis] [Q2 inschrijvingen...] [2008-12-07 14:51:43] [57fa5e3679c393aa19449b2f1be9928b]
-                             [Spectral Analysis] [Q3 Spec analyse] [2008-12-07 14:56:15] [57fa5e3679c393aa19449b2f1be9928b]
-   P                           [Spectral Analysis] [Q3 Spec analyse] [2008-12-08 19:19:32] [57fa5e3679c393aa19449b2f1be9928b]
-   P                         [Spectral Analysis] [Q2 inschrijvingen...] [2008-12-08 19:15:44] [57fa5e3679c393aa19449b2f1be9928b]
-                           [(Partial) Autocorrelation Function] [Q3] [2008-12-07 14:59:20] [57fa5e3679c393aa19449b2f1be9928b]
- RM                          [ARIMA Backward Selection] [Q5 inschrijvingen] [2008-12-07 15:06:11] [57fa5e3679c393aa19449b2f1be9928b]
F   P                           [ARIMA Backward Selection] [Q5 inschrijvingen] [2008-12-08 19:21:54] [57fa5e3679c393aa19449b2f1be9928b]
-   P                             [ARIMA Backward Selection] [] [2008-12-11 16:10:37] [d134696a922d84037f02d49ded84b0bd]
-   P                         [(Partial) Autocorrelation Function] [Q3] [2008-12-08 19:17:56] [57fa5e3679c393aa19449b2f1be9928b]
-   P                       [(Partial) Autocorrelation Function] [Q2 inschrijvingen...] [2008-12-08 19:13:41] [57fa5e3679c393aa19449b2f1be9928b]
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Dataseries X:
22780
17351
21382
24561
17409
11514
31514
27071
29462
26105
22397
23843
21705
18089
20764
25316
17704
15548
28029
29383
36438
32034
22679
24319
18004
17537
20366
22782
19169
13807
29743
25591
29096
26482
22405
27044
17970
18730
19684
19785
18479
10698
31956
29506
34506
27165
26736
23691
18157
17328
18205
20995
17382
9367
31124
26551
30651
25859
25100
25778
20418
18688
20424
24776
19814
12738
31566
30111
30019
31934
25826
26835




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

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=30028&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=30028&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=30028&T=0

As an alternative you can also use a QR Code:  

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

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







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.2014931.70970.045812
2-0.009941-0.08430.466507
3-0.057442-0.48740.313725
4-0.093853-0.79640.214217
5-0.179758-1.52530.065783
6-0.383728-3.2560.000862
7-0.179423-1.52250.066138
8-0.092858-0.78790.216663
9-0.074445-0.63170.264795
10-0.038199-0.32410.373389
110.1526311.29510.099708
120.7635896.47930
130.1649371.39950.082973
14-0.008433-0.07160.471576
15-0.065492-0.55570.290062
16-0.115028-0.9760.166155
17-0.155094-1.3160.096172
18-0.356465-3.02470.001724
19-0.157806-1.3390.092387
20-0.124112-1.05310.147903
21-0.102158-0.86680.194454
22-0.036687-0.31130.378237
230.1150.97580.166214
240.5745344.87513e-06
250.1538961.30580.09788
26-0.004098-0.03480.486179
27-0.017991-0.15270.439548
28-0.036686-0.31130.378241
29-0.112222-0.95220.172082
30-0.268438-2.27780.012855
31-0.102027-0.86570.194757
32-0.118628-1.00660.15875
33-0.100388-0.85180.198568
34-0.028715-0.24370.404094
350.0652650.55380.290718
360.4254593.61010.000281
370.1275751.08250.141319
38-0.032471-0.27550.39185
39-0.009765-0.08290.467096
400.003830.03250.487081
41-0.107201-0.90960.183026
42-0.154914-1.31450.096426
43-0.066102-0.56090.288305
44-0.065904-0.55920.288876
45-0.059038-0.5010.308965
46-0.024512-0.2080.417913
470.0445490.3780.353268
480.3124312.65110.00493
490.0965610.81930.207647
50-0.020173-0.17120.432284
510.0133010.11290.455228
520.0221660.18810.425668
53-0.063411-0.53810.296097
54-0.071377-0.60570.273324
55-0.032903-0.27920.390451
56-0.006723-0.0570.477333
57-0.010129-0.08590.465874
58-0.02417-0.20510.419041
590.0124290.10550.45815
600.1421161.20590.115903

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.201493 & 1.7097 & 0.045812 \tabularnewline
2 & -0.009941 & -0.0843 & 0.466507 \tabularnewline
3 & -0.057442 & -0.4874 & 0.313725 \tabularnewline
4 & -0.093853 & -0.7964 & 0.214217 \tabularnewline
5 & -0.179758 & -1.5253 & 0.065783 \tabularnewline
6 & -0.383728 & -3.256 & 0.000862 \tabularnewline
7 & -0.179423 & -1.5225 & 0.066138 \tabularnewline
8 & -0.092858 & -0.7879 & 0.216663 \tabularnewline
9 & -0.074445 & -0.6317 & 0.264795 \tabularnewline
10 & -0.038199 & -0.3241 & 0.373389 \tabularnewline
11 & 0.152631 & 1.2951 & 0.099708 \tabularnewline
12 & 0.763589 & 6.4793 & 0 \tabularnewline
13 & 0.164937 & 1.3995 & 0.082973 \tabularnewline
14 & -0.008433 & -0.0716 & 0.471576 \tabularnewline
15 & -0.065492 & -0.5557 & 0.290062 \tabularnewline
16 & -0.115028 & -0.976 & 0.166155 \tabularnewline
17 & -0.155094 & -1.316 & 0.096172 \tabularnewline
18 & -0.356465 & -3.0247 & 0.001724 \tabularnewline
19 & -0.157806 & -1.339 & 0.092387 \tabularnewline
20 & -0.124112 & -1.0531 & 0.147903 \tabularnewline
21 & -0.102158 & -0.8668 & 0.194454 \tabularnewline
22 & -0.036687 & -0.3113 & 0.378237 \tabularnewline
23 & 0.115 & 0.9758 & 0.166214 \tabularnewline
24 & 0.574534 & 4.8751 & 3e-06 \tabularnewline
25 & 0.153896 & 1.3058 & 0.09788 \tabularnewline
26 & -0.004098 & -0.0348 & 0.486179 \tabularnewline
27 & -0.017991 & -0.1527 & 0.439548 \tabularnewline
28 & -0.036686 & -0.3113 & 0.378241 \tabularnewline
29 & -0.112222 & -0.9522 & 0.172082 \tabularnewline
30 & -0.268438 & -2.2778 & 0.012855 \tabularnewline
31 & -0.102027 & -0.8657 & 0.194757 \tabularnewline
32 & -0.118628 & -1.0066 & 0.15875 \tabularnewline
33 & -0.100388 & -0.8518 & 0.198568 \tabularnewline
34 & -0.028715 & -0.2437 & 0.404094 \tabularnewline
35 & 0.065265 & 0.5538 & 0.290718 \tabularnewline
36 & 0.425459 & 3.6101 & 0.000281 \tabularnewline
37 & 0.127575 & 1.0825 & 0.141319 \tabularnewline
38 & -0.032471 & -0.2755 & 0.39185 \tabularnewline
39 & -0.009765 & -0.0829 & 0.467096 \tabularnewline
40 & 0.00383 & 0.0325 & 0.487081 \tabularnewline
41 & -0.107201 & -0.9096 & 0.183026 \tabularnewline
42 & -0.154914 & -1.3145 & 0.096426 \tabularnewline
43 & -0.066102 & -0.5609 & 0.288305 \tabularnewline
44 & -0.065904 & -0.5592 & 0.288876 \tabularnewline
45 & -0.059038 & -0.501 & 0.308965 \tabularnewline
46 & -0.024512 & -0.208 & 0.417913 \tabularnewline
47 & 0.044549 & 0.378 & 0.353268 \tabularnewline
48 & 0.312431 & 2.6511 & 0.00493 \tabularnewline
49 & 0.096561 & 0.8193 & 0.207647 \tabularnewline
50 & -0.020173 & -0.1712 & 0.432284 \tabularnewline
51 & 0.013301 & 0.1129 & 0.455228 \tabularnewline
52 & 0.022166 & 0.1881 & 0.425668 \tabularnewline
53 & -0.063411 & -0.5381 & 0.296097 \tabularnewline
54 & -0.071377 & -0.6057 & 0.273324 \tabularnewline
55 & -0.032903 & -0.2792 & 0.390451 \tabularnewline
56 & -0.006723 & -0.057 & 0.477333 \tabularnewline
57 & -0.010129 & -0.0859 & 0.465874 \tabularnewline
58 & -0.02417 & -0.2051 & 0.419041 \tabularnewline
59 & 0.012429 & 0.1055 & 0.45815 \tabularnewline
60 & 0.142116 & 1.2059 & 0.115903 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=30028&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]0.201493[/C][C]1.7097[/C][C]0.045812[/C][/ROW]
[ROW][C]2[/C][C]-0.009941[/C][C]-0.0843[/C][C]0.466507[/C][/ROW]
[ROW][C]3[/C][C]-0.057442[/C][C]-0.4874[/C][C]0.313725[/C][/ROW]
[ROW][C]4[/C][C]-0.093853[/C][C]-0.7964[/C][C]0.214217[/C][/ROW]
[ROW][C]5[/C][C]-0.179758[/C][C]-1.5253[/C][C]0.065783[/C][/ROW]
[ROW][C]6[/C][C]-0.383728[/C][C]-3.256[/C][C]0.000862[/C][/ROW]
[ROW][C]7[/C][C]-0.179423[/C][C]-1.5225[/C][C]0.066138[/C][/ROW]
[ROW][C]8[/C][C]-0.092858[/C][C]-0.7879[/C][C]0.216663[/C][/ROW]
[ROW][C]9[/C][C]-0.074445[/C][C]-0.6317[/C][C]0.264795[/C][/ROW]
[ROW][C]10[/C][C]-0.038199[/C][C]-0.3241[/C][C]0.373389[/C][/ROW]
[ROW][C]11[/C][C]0.152631[/C][C]1.2951[/C][C]0.099708[/C][/ROW]
[ROW][C]12[/C][C]0.763589[/C][C]6.4793[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]0.164937[/C][C]1.3995[/C][C]0.082973[/C][/ROW]
[ROW][C]14[/C][C]-0.008433[/C][C]-0.0716[/C][C]0.471576[/C][/ROW]
[ROW][C]15[/C][C]-0.065492[/C][C]-0.5557[/C][C]0.290062[/C][/ROW]
[ROW][C]16[/C][C]-0.115028[/C][C]-0.976[/C][C]0.166155[/C][/ROW]
[ROW][C]17[/C][C]-0.155094[/C][C]-1.316[/C][C]0.096172[/C][/ROW]
[ROW][C]18[/C][C]-0.356465[/C][C]-3.0247[/C][C]0.001724[/C][/ROW]
[ROW][C]19[/C][C]-0.157806[/C][C]-1.339[/C][C]0.092387[/C][/ROW]
[ROW][C]20[/C][C]-0.124112[/C][C]-1.0531[/C][C]0.147903[/C][/ROW]
[ROW][C]21[/C][C]-0.102158[/C][C]-0.8668[/C][C]0.194454[/C][/ROW]
[ROW][C]22[/C][C]-0.036687[/C][C]-0.3113[/C][C]0.378237[/C][/ROW]
[ROW][C]23[/C][C]0.115[/C][C]0.9758[/C][C]0.166214[/C][/ROW]
[ROW][C]24[/C][C]0.574534[/C][C]4.8751[/C][C]3e-06[/C][/ROW]
[ROW][C]25[/C][C]0.153896[/C][C]1.3058[/C][C]0.09788[/C][/ROW]
[ROW][C]26[/C][C]-0.004098[/C][C]-0.0348[/C][C]0.486179[/C][/ROW]
[ROW][C]27[/C][C]-0.017991[/C][C]-0.1527[/C][C]0.439548[/C][/ROW]
[ROW][C]28[/C][C]-0.036686[/C][C]-0.3113[/C][C]0.378241[/C][/ROW]
[ROW][C]29[/C][C]-0.112222[/C][C]-0.9522[/C][C]0.172082[/C][/ROW]
[ROW][C]30[/C][C]-0.268438[/C][C]-2.2778[/C][C]0.012855[/C][/ROW]
[ROW][C]31[/C][C]-0.102027[/C][C]-0.8657[/C][C]0.194757[/C][/ROW]
[ROW][C]32[/C][C]-0.118628[/C][C]-1.0066[/C][C]0.15875[/C][/ROW]
[ROW][C]33[/C][C]-0.100388[/C][C]-0.8518[/C][C]0.198568[/C][/ROW]
[ROW][C]34[/C][C]-0.028715[/C][C]-0.2437[/C][C]0.404094[/C][/ROW]
[ROW][C]35[/C][C]0.065265[/C][C]0.5538[/C][C]0.290718[/C][/ROW]
[ROW][C]36[/C][C]0.425459[/C][C]3.6101[/C][C]0.000281[/C][/ROW]
[ROW][C]37[/C][C]0.127575[/C][C]1.0825[/C][C]0.141319[/C][/ROW]
[ROW][C]38[/C][C]-0.032471[/C][C]-0.2755[/C][C]0.39185[/C][/ROW]
[ROW][C]39[/C][C]-0.009765[/C][C]-0.0829[/C][C]0.467096[/C][/ROW]
[ROW][C]40[/C][C]0.00383[/C][C]0.0325[/C][C]0.487081[/C][/ROW]
[ROW][C]41[/C][C]-0.107201[/C][C]-0.9096[/C][C]0.183026[/C][/ROW]
[ROW][C]42[/C][C]-0.154914[/C][C]-1.3145[/C][C]0.096426[/C][/ROW]
[ROW][C]43[/C][C]-0.066102[/C][C]-0.5609[/C][C]0.288305[/C][/ROW]
[ROW][C]44[/C][C]-0.065904[/C][C]-0.5592[/C][C]0.288876[/C][/ROW]
[ROW][C]45[/C][C]-0.059038[/C][C]-0.501[/C][C]0.308965[/C][/ROW]
[ROW][C]46[/C][C]-0.024512[/C][C]-0.208[/C][C]0.417913[/C][/ROW]
[ROW][C]47[/C][C]0.044549[/C][C]0.378[/C][C]0.353268[/C][/ROW]
[ROW][C]48[/C][C]0.312431[/C][C]2.6511[/C][C]0.00493[/C][/ROW]
[ROW][C]49[/C][C]0.096561[/C][C]0.8193[/C][C]0.207647[/C][/ROW]
[ROW][C]50[/C][C]-0.020173[/C][C]-0.1712[/C][C]0.432284[/C][/ROW]
[ROW][C]51[/C][C]0.013301[/C][C]0.1129[/C][C]0.455228[/C][/ROW]
[ROW][C]52[/C][C]0.022166[/C][C]0.1881[/C][C]0.425668[/C][/ROW]
[ROW][C]53[/C][C]-0.063411[/C][C]-0.5381[/C][C]0.296097[/C][/ROW]
[ROW][C]54[/C][C]-0.071377[/C][C]-0.6057[/C][C]0.273324[/C][/ROW]
[ROW][C]55[/C][C]-0.032903[/C][C]-0.2792[/C][C]0.390451[/C][/ROW]
[ROW][C]56[/C][C]-0.006723[/C][C]-0.057[/C][C]0.477333[/C][/ROW]
[ROW][C]57[/C][C]-0.010129[/C][C]-0.0859[/C][C]0.465874[/C][/ROW]
[ROW][C]58[/C][C]-0.02417[/C][C]-0.2051[/C][C]0.419041[/C][/ROW]
[ROW][C]59[/C][C]0.012429[/C][C]0.1055[/C][C]0.45815[/C][/ROW]
[ROW][C]60[/C][C]0.142116[/C][C]1.2059[/C][C]0.115903[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=30028&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=30028&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
10.2014931.70970.045812
2-0.009941-0.08430.466507
3-0.057442-0.48740.313725
4-0.093853-0.79640.214217
5-0.179758-1.52530.065783
6-0.383728-3.2560.000862
7-0.179423-1.52250.066138
8-0.092858-0.78790.216663
9-0.074445-0.63170.264795
10-0.038199-0.32410.373389
110.1526311.29510.099708
120.7635896.47930
130.1649371.39950.082973
14-0.008433-0.07160.471576
15-0.065492-0.55570.290062
16-0.115028-0.9760.166155
17-0.155094-1.3160.096172
18-0.356465-3.02470.001724
19-0.157806-1.3390.092387
20-0.124112-1.05310.147903
21-0.102158-0.86680.194454
22-0.036687-0.31130.378237
230.1150.97580.166214
240.5745344.87513e-06
250.1538961.30580.09788
26-0.004098-0.03480.486179
27-0.017991-0.15270.439548
28-0.036686-0.31130.378241
29-0.112222-0.95220.172082
30-0.268438-2.27780.012855
31-0.102027-0.86570.194757
32-0.118628-1.00660.15875
33-0.100388-0.85180.198568
34-0.028715-0.24370.404094
350.0652650.55380.290718
360.4254593.61010.000281
370.1275751.08250.141319
38-0.032471-0.27550.39185
39-0.009765-0.08290.467096
400.003830.03250.487081
41-0.107201-0.90960.183026
42-0.154914-1.31450.096426
43-0.066102-0.56090.288305
44-0.065904-0.55920.288876
45-0.059038-0.5010.308965
46-0.024512-0.2080.417913
470.0445490.3780.353268
480.3124312.65110.00493
490.0965610.81930.207647
50-0.020173-0.17120.432284
510.0133010.11290.455228
520.0221660.18810.425668
53-0.063411-0.53810.296097
54-0.071377-0.60570.273324
55-0.032903-0.27920.390451
56-0.006723-0.0570.477333
57-0.010129-0.08590.465874
58-0.02417-0.20510.419041
590.0124290.10550.45815
600.1421161.20590.115903







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.2014931.70970.045812
2-0.052679-0.4470.32811
3-0.046741-0.39660.346414
4-0.076277-0.64720.259769
5-0.155935-1.32320.094986
6-0.350738-2.97610.001986
7-0.094057-0.79810.213719
8-0.135037-1.14580.12783
9-0.165513-1.40440.082246
10-0.171063-1.45150.07549
11-0.004871-0.04130.483574
120.6870645.82990
13-0.155204-1.3170.096016
14-0.050679-0.430.334231
15-0.085927-0.72910.234148
16-0.094795-0.80440.211918
170.0216740.18390.427301
18-0.039538-0.33550.369115
19-0.011564-0.09810.461055
20-0.154219-1.30860.097417
21-0.091118-0.77320.220978
22-0.009921-0.08420.466573
23-0.066242-0.56210.287902
24-0.085963-0.72940.234054
25-0.025354-0.21510.415135
26-0.108585-0.92140.179965
270.0443580.37640.353868
280.1253951.0640.145439
29-0.067489-0.57270.28433
300.0542220.46010.32342
31-0.009442-0.08010.468181
32-0.017591-0.14930.440881
330.016050.13620.446026
34-0.007339-0.06230.475259
35-0.085518-0.72560.235205
36-0.068933-0.58490.280217
37-0.041128-0.3490.364059
38-0.113865-0.96620.168596
39-0.0961-0.81540.208756
40-0.06013-0.51020.305729
41-0.150586-1.27780.102719
420.0698270.59250.277684
43-0.055913-0.47440.318312
440.0804440.68260.248528
450.0298150.2530.400498
46-0.019199-0.16290.435523
470.0399830.33930.367698
480.0050260.04270.483049
490.0216320.18360.427439
500.0823960.69920.243354
510.0182260.15470.438763
52-0.025341-0.2150.415177
530.0591890.50220.308518
54-0.039542-0.33550.369103
550.0067440.05720.477261
560.0187080.15870.437158
570.0350570.29750.383481
580.0136710.1160.453987
59-0.059348-0.50360.308044
60-0.121557-1.03140.152893

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.201493 & 1.7097 & 0.045812 \tabularnewline
2 & -0.052679 & -0.447 & 0.32811 \tabularnewline
3 & -0.046741 & -0.3966 & 0.346414 \tabularnewline
4 & -0.076277 & -0.6472 & 0.259769 \tabularnewline
5 & -0.155935 & -1.3232 & 0.094986 \tabularnewline
6 & -0.350738 & -2.9761 & 0.001986 \tabularnewline
7 & -0.094057 & -0.7981 & 0.213719 \tabularnewline
8 & -0.135037 & -1.1458 & 0.12783 \tabularnewline
9 & -0.165513 & -1.4044 & 0.082246 \tabularnewline
10 & -0.171063 & -1.4515 & 0.07549 \tabularnewline
11 & -0.004871 & -0.0413 & 0.483574 \tabularnewline
12 & 0.687064 & 5.8299 & 0 \tabularnewline
13 & -0.155204 & -1.317 & 0.096016 \tabularnewline
14 & -0.050679 & -0.43 & 0.334231 \tabularnewline
15 & -0.085927 & -0.7291 & 0.234148 \tabularnewline
16 & -0.094795 & -0.8044 & 0.211918 \tabularnewline
17 & 0.021674 & 0.1839 & 0.427301 \tabularnewline
18 & -0.039538 & -0.3355 & 0.369115 \tabularnewline
19 & -0.011564 & -0.0981 & 0.461055 \tabularnewline
20 & -0.154219 & -1.3086 & 0.097417 \tabularnewline
21 & -0.091118 & -0.7732 & 0.220978 \tabularnewline
22 & -0.009921 & -0.0842 & 0.466573 \tabularnewline
23 & -0.066242 & -0.5621 & 0.287902 \tabularnewline
24 & -0.085963 & -0.7294 & 0.234054 \tabularnewline
25 & -0.025354 & -0.2151 & 0.415135 \tabularnewline
26 & -0.108585 & -0.9214 & 0.179965 \tabularnewline
27 & 0.044358 & 0.3764 & 0.353868 \tabularnewline
28 & 0.125395 & 1.064 & 0.145439 \tabularnewline
29 & -0.067489 & -0.5727 & 0.28433 \tabularnewline
30 & 0.054222 & 0.4601 & 0.32342 \tabularnewline
31 & -0.009442 & -0.0801 & 0.468181 \tabularnewline
32 & -0.017591 & -0.1493 & 0.440881 \tabularnewline
33 & 0.01605 & 0.1362 & 0.446026 \tabularnewline
34 & -0.007339 & -0.0623 & 0.475259 \tabularnewline
35 & -0.085518 & -0.7256 & 0.235205 \tabularnewline
36 & -0.068933 & -0.5849 & 0.280217 \tabularnewline
37 & -0.041128 & -0.349 & 0.364059 \tabularnewline
38 & -0.113865 & -0.9662 & 0.168596 \tabularnewline
39 & -0.0961 & -0.8154 & 0.208756 \tabularnewline
40 & -0.06013 & -0.5102 & 0.305729 \tabularnewline
41 & -0.150586 & -1.2778 & 0.102719 \tabularnewline
42 & 0.069827 & 0.5925 & 0.277684 \tabularnewline
43 & -0.055913 & -0.4744 & 0.318312 \tabularnewline
44 & 0.080444 & 0.6826 & 0.248528 \tabularnewline
45 & 0.029815 & 0.253 & 0.400498 \tabularnewline
46 & -0.019199 & -0.1629 & 0.435523 \tabularnewline
47 & 0.039983 & 0.3393 & 0.367698 \tabularnewline
48 & 0.005026 & 0.0427 & 0.483049 \tabularnewline
49 & 0.021632 & 0.1836 & 0.427439 \tabularnewline
50 & 0.082396 & 0.6992 & 0.243354 \tabularnewline
51 & 0.018226 & 0.1547 & 0.438763 \tabularnewline
52 & -0.025341 & -0.215 & 0.415177 \tabularnewline
53 & 0.059189 & 0.5022 & 0.308518 \tabularnewline
54 & -0.039542 & -0.3355 & 0.369103 \tabularnewline
55 & 0.006744 & 0.0572 & 0.477261 \tabularnewline
56 & 0.018708 & 0.1587 & 0.437158 \tabularnewline
57 & 0.035057 & 0.2975 & 0.383481 \tabularnewline
58 & 0.013671 & 0.116 & 0.453987 \tabularnewline
59 & -0.059348 & -0.5036 & 0.308044 \tabularnewline
60 & -0.121557 & -1.0314 & 0.152893 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=30028&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]0.201493[/C][C]1.7097[/C][C]0.045812[/C][/ROW]
[ROW][C]2[/C][C]-0.052679[/C][C]-0.447[/C][C]0.32811[/C][/ROW]
[ROW][C]3[/C][C]-0.046741[/C][C]-0.3966[/C][C]0.346414[/C][/ROW]
[ROW][C]4[/C][C]-0.076277[/C][C]-0.6472[/C][C]0.259769[/C][/ROW]
[ROW][C]5[/C][C]-0.155935[/C][C]-1.3232[/C][C]0.094986[/C][/ROW]
[ROW][C]6[/C][C]-0.350738[/C][C]-2.9761[/C][C]0.001986[/C][/ROW]
[ROW][C]7[/C][C]-0.094057[/C][C]-0.7981[/C][C]0.213719[/C][/ROW]
[ROW][C]8[/C][C]-0.135037[/C][C]-1.1458[/C][C]0.12783[/C][/ROW]
[ROW][C]9[/C][C]-0.165513[/C][C]-1.4044[/C][C]0.082246[/C][/ROW]
[ROW][C]10[/C][C]-0.171063[/C][C]-1.4515[/C][C]0.07549[/C][/ROW]
[ROW][C]11[/C][C]-0.004871[/C][C]-0.0413[/C][C]0.483574[/C][/ROW]
[ROW][C]12[/C][C]0.687064[/C][C]5.8299[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]-0.155204[/C][C]-1.317[/C][C]0.096016[/C][/ROW]
[ROW][C]14[/C][C]-0.050679[/C][C]-0.43[/C][C]0.334231[/C][/ROW]
[ROW][C]15[/C][C]-0.085927[/C][C]-0.7291[/C][C]0.234148[/C][/ROW]
[ROW][C]16[/C][C]-0.094795[/C][C]-0.8044[/C][C]0.211918[/C][/ROW]
[ROW][C]17[/C][C]0.021674[/C][C]0.1839[/C][C]0.427301[/C][/ROW]
[ROW][C]18[/C][C]-0.039538[/C][C]-0.3355[/C][C]0.369115[/C][/ROW]
[ROW][C]19[/C][C]-0.011564[/C][C]-0.0981[/C][C]0.461055[/C][/ROW]
[ROW][C]20[/C][C]-0.154219[/C][C]-1.3086[/C][C]0.097417[/C][/ROW]
[ROW][C]21[/C][C]-0.091118[/C][C]-0.7732[/C][C]0.220978[/C][/ROW]
[ROW][C]22[/C][C]-0.009921[/C][C]-0.0842[/C][C]0.466573[/C][/ROW]
[ROW][C]23[/C][C]-0.066242[/C][C]-0.5621[/C][C]0.287902[/C][/ROW]
[ROW][C]24[/C][C]-0.085963[/C][C]-0.7294[/C][C]0.234054[/C][/ROW]
[ROW][C]25[/C][C]-0.025354[/C][C]-0.2151[/C][C]0.415135[/C][/ROW]
[ROW][C]26[/C][C]-0.108585[/C][C]-0.9214[/C][C]0.179965[/C][/ROW]
[ROW][C]27[/C][C]0.044358[/C][C]0.3764[/C][C]0.353868[/C][/ROW]
[ROW][C]28[/C][C]0.125395[/C][C]1.064[/C][C]0.145439[/C][/ROW]
[ROW][C]29[/C][C]-0.067489[/C][C]-0.5727[/C][C]0.28433[/C][/ROW]
[ROW][C]30[/C][C]0.054222[/C][C]0.4601[/C][C]0.32342[/C][/ROW]
[ROW][C]31[/C][C]-0.009442[/C][C]-0.0801[/C][C]0.468181[/C][/ROW]
[ROW][C]32[/C][C]-0.017591[/C][C]-0.1493[/C][C]0.440881[/C][/ROW]
[ROW][C]33[/C][C]0.01605[/C][C]0.1362[/C][C]0.446026[/C][/ROW]
[ROW][C]34[/C][C]-0.007339[/C][C]-0.0623[/C][C]0.475259[/C][/ROW]
[ROW][C]35[/C][C]-0.085518[/C][C]-0.7256[/C][C]0.235205[/C][/ROW]
[ROW][C]36[/C][C]-0.068933[/C][C]-0.5849[/C][C]0.280217[/C][/ROW]
[ROW][C]37[/C][C]-0.041128[/C][C]-0.349[/C][C]0.364059[/C][/ROW]
[ROW][C]38[/C][C]-0.113865[/C][C]-0.9662[/C][C]0.168596[/C][/ROW]
[ROW][C]39[/C][C]-0.0961[/C][C]-0.8154[/C][C]0.208756[/C][/ROW]
[ROW][C]40[/C][C]-0.06013[/C][C]-0.5102[/C][C]0.305729[/C][/ROW]
[ROW][C]41[/C][C]-0.150586[/C][C]-1.2778[/C][C]0.102719[/C][/ROW]
[ROW][C]42[/C][C]0.069827[/C][C]0.5925[/C][C]0.277684[/C][/ROW]
[ROW][C]43[/C][C]-0.055913[/C][C]-0.4744[/C][C]0.318312[/C][/ROW]
[ROW][C]44[/C][C]0.080444[/C][C]0.6826[/C][C]0.248528[/C][/ROW]
[ROW][C]45[/C][C]0.029815[/C][C]0.253[/C][C]0.400498[/C][/ROW]
[ROW][C]46[/C][C]-0.019199[/C][C]-0.1629[/C][C]0.435523[/C][/ROW]
[ROW][C]47[/C][C]0.039983[/C][C]0.3393[/C][C]0.367698[/C][/ROW]
[ROW][C]48[/C][C]0.005026[/C][C]0.0427[/C][C]0.483049[/C][/ROW]
[ROW][C]49[/C][C]0.021632[/C][C]0.1836[/C][C]0.427439[/C][/ROW]
[ROW][C]50[/C][C]0.082396[/C][C]0.6992[/C][C]0.243354[/C][/ROW]
[ROW][C]51[/C][C]0.018226[/C][C]0.1547[/C][C]0.438763[/C][/ROW]
[ROW][C]52[/C][C]-0.025341[/C][C]-0.215[/C][C]0.415177[/C][/ROW]
[ROW][C]53[/C][C]0.059189[/C][C]0.5022[/C][C]0.308518[/C][/ROW]
[ROW][C]54[/C][C]-0.039542[/C][C]-0.3355[/C][C]0.369103[/C][/ROW]
[ROW][C]55[/C][C]0.006744[/C][C]0.0572[/C][C]0.477261[/C][/ROW]
[ROW][C]56[/C][C]0.018708[/C][C]0.1587[/C][C]0.437158[/C][/ROW]
[ROW][C]57[/C][C]0.035057[/C][C]0.2975[/C][C]0.383481[/C][/ROW]
[ROW][C]58[/C][C]0.013671[/C][C]0.116[/C][C]0.453987[/C][/ROW]
[ROW][C]59[/C][C]-0.059348[/C][C]-0.5036[/C][C]0.308044[/C][/ROW]
[ROW][C]60[/C][C]-0.121557[/C][C]-1.0314[/C][C]0.152893[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=30028&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=30028&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
10.2014931.70970.045812
2-0.052679-0.4470.32811
3-0.046741-0.39660.346414
4-0.076277-0.64720.259769
5-0.155935-1.32320.094986
6-0.350738-2.97610.001986
7-0.094057-0.79810.213719
8-0.135037-1.14580.12783
9-0.165513-1.40440.082246
10-0.171063-1.45150.07549
11-0.004871-0.04130.483574
120.6870645.82990
13-0.155204-1.3170.096016
14-0.050679-0.430.334231
15-0.085927-0.72910.234148
16-0.094795-0.80440.211918
170.0216740.18390.427301
18-0.039538-0.33550.369115
19-0.011564-0.09810.461055
20-0.154219-1.30860.097417
21-0.091118-0.77320.220978
22-0.009921-0.08420.466573
23-0.066242-0.56210.287902
24-0.085963-0.72940.234054
25-0.025354-0.21510.415135
26-0.108585-0.92140.179965
270.0443580.37640.353868
280.1253951.0640.145439
29-0.067489-0.57270.28433
300.0542220.46010.32342
31-0.009442-0.08010.468181
32-0.017591-0.14930.440881
330.016050.13620.446026
34-0.007339-0.06230.475259
35-0.085518-0.72560.235205
36-0.068933-0.58490.280217
37-0.041128-0.3490.364059
38-0.113865-0.96620.168596
39-0.0961-0.81540.208756
40-0.06013-0.51020.305729
41-0.150586-1.27780.102719
420.0698270.59250.277684
43-0.055913-0.47440.318312
440.0804440.68260.248528
450.0298150.2530.400498
46-0.019199-0.16290.435523
470.0399830.33930.367698
480.0050260.04270.483049
490.0216320.18360.427439
500.0823960.69920.243354
510.0182260.15470.438763
52-0.025341-0.2150.415177
530.0591890.50220.308518
54-0.039542-0.33550.369103
550.0067440.05720.477261
560.0187080.15870.437158
570.0350570.29750.383481
580.0136710.1160.453987
59-0.059348-0.50360.308044
60-0.121557-1.03140.152893



Parameters (Session):
par1 = 12 ;
Parameters (R input):
par1 = 60 ; par2 = -0.4 ; 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')