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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 computationWed, 02 Dec 2009 16:32:15 -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/2009/Dec/03/t1259796774bf1apb9snv0zh9t.htm/, Retrieved Thu, 28 Mar 2024 22:02:42 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=62630, Retrieved Thu, 28 Mar 2024 22:02:42 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact160
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [(Partial) Autocorrelation Function] [Autocorrelatie d=...] [2007-11-27 10:25:05] [0089dec2868056b990fdbd23bf9edb23]
- RMPD    [(Partial) Autocorrelation Function] [PAPER] [2009-12-02 23:32:15] [2d9a0b3c2f25bb8f387fafb994d0d852] [Current]
-   P       [(Partial) Autocorrelation Function] [PAPER] [2009-12-02 23:46:11] [37daf76adc256428993ec4063536c760]
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Dataseries X:
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
502
516
528
533
536
537
524
536
587
597
581
564
564




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=62630&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=62630&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=62630&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
016.92820
10.9409886.51940
20.8789676.08970
30.8005415.54631e-06
40.7066554.89596e-06
50.6046574.18926e-05
60.498843.45610.000578
70.3866762.6790.005042
80.2811081.94760.028664
90.1718441.19060.119838
100.0787490.54560.293937
110.00460.03190.487354
12-0.073907-0.5120.694515
13-0.135096-0.9360.823013
14-0.18243-1.26390.893818
15-0.230468-1.59670.941555
16-0.274267-1.90020.968287
17-0.317625-2.20060.983695
18-0.369325-2.55880.993143
19-0.392472-2.71910.995458
20-0.422548-2.92750.997395
21-0.444678-3.08080.998294
22-0.453737-3.14360.99857
23-0.459574-3.1840.998725
24-0.459727-3.18510.998729
25-0.441319-3.05750.998179
26-0.414911-2.87460.996993
27-0.367057-2.5430.992866
28-0.325189-2.2530.985566
29-0.275608-1.90950.968906
30-0.21032-1.45710.924205
31-0.155476-1.07720.856606
32-0.111084-0.76960.777349
33-0.063169-0.43770.668198
34-0.021211-0.1470.558109
350.0108010.07480.470329
360.048670.33720.368719
370.074410.51550.304275
380.0944140.65410.258079
390.0973560.67450.251615
400.0921840.63870.263036
410.0843960.58470.28074
420.0711730.49310.312094
430.055650.38560.350766
440.0441120.30560.380608
450.0368150.25510.399883
460.0248280.1720.432075
470.0127610.08840.464958

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 6.9282 & 0 \tabularnewline
1 & 0.940988 & 6.5194 & 0 \tabularnewline
2 & 0.878967 & 6.0897 & 0 \tabularnewline
3 & 0.800541 & 5.5463 & 1e-06 \tabularnewline
4 & 0.706655 & 4.8959 & 6e-06 \tabularnewline
5 & 0.604657 & 4.1892 & 6e-05 \tabularnewline
6 & 0.49884 & 3.4561 & 0.000578 \tabularnewline
7 & 0.386676 & 2.679 & 0.005042 \tabularnewline
8 & 0.281108 & 1.9476 & 0.028664 \tabularnewline
9 & 0.171844 & 1.1906 & 0.119838 \tabularnewline
10 & 0.078749 & 0.5456 & 0.293937 \tabularnewline
11 & 0.0046 & 0.0319 & 0.487354 \tabularnewline
12 & -0.073907 & -0.512 & 0.694515 \tabularnewline
13 & -0.135096 & -0.936 & 0.823013 \tabularnewline
14 & -0.18243 & -1.2639 & 0.893818 \tabularnewline
15 & -0.230468 & -1.5967 & 0.941555 \tabularnewline
16 & -0.274267 & -1.9002 & 0.968287 \tabularnewline
17 & -0.317625 & -2.2006 & 0.983695 \tabularnewline
18 & -0.369325 & -2.5588 & 0.993143 \tabularnewline
19 & -0.392472 & -2.7191 & 0.995458 \tabularnewline
20 & -0.422548 & -2.9275 & 0.997395 \tabularnewline
21 & -0.444678 & -3.0808 & 0.998294 \tabularnewline
22 & -0.453737 & -3.1436 & 0.99857 \tabularnewline
23 & -0.459574 & -3.184 & 0.998725 \tabularnewline
24 & -0.459727 & -3.1851 & 0.998729 \tabularnewline
25 & -0.441319 & -3.0575 & 0.998179 \tabularnewline
26 & -0.414911 & -2.8746 & 0.996993 \tabularnewline
27 & -0.367057 & -2.543 & 0.992866 \tabularnewline
28 & -0.325189 & -2.253 & 0.985566 \tabularnewline
29 & -0.275608 & -1.9095 & 0.968906 \tabularnewline
30 & -0.21032 & -1.4571 & 0.924205 \tabularnewline
31 & -0.155476 & -1.0772 & 0.856606 \tabularnewline
32 & -0.111084 & -0.7696 & 0.777349 \tabularnewline
33 & -0.063169 & -0.4377 & 0.668198 \tabularnewline
34 & -0.021211 & -0.147 & 0.558109 \tabularnewline
35 & 0.010801 & 0.0748 & 0.470329 \tabularnewline
36 & 0.04867 & 0.3372 & 0.368719 \tabularnewline
37 & 0.07441 & 0.5155 & 0.304275 \tabularnewline
38 & 0.094414 & 0.6541 & 0.258079 \tabularnewline
39 & 0.097356 & 0.6745 & 0.251615 \tabularnewline
40 & 0.092184 & 0.6387 & 0.263036 \tabularnewline
41 & 0.084396 & 0.5847 & 0.28074 \tabularnewline
42 & 0.071173 & 0.4931 & 0.312094 \tabularnewline
43 & 0.05565 & 0.3856 & 0.350766 \tabularnewline
44 & 0.044112 & 0.3056 & 0.380608 \tabularnewline
45 & 0.036815 & 0.2551 & 0.399883 \tabularnewline
46 & 0.024828 & 0.172 & 0.432075 \tabularnewline
47 & 0.012761 & 0.0884 & 0.464958 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=62630&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]6.9282[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]0.940988[/C][C]6.5194[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.878967[/C][C]6.0897[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.800541[/C][C]5.5463[/C][C]1e-06[/C][/ROW]
[ROW][C]4[/C][C]0.706655[/C][C]4.8959[/C][C]6e-06[/C][/ROW]
[ROW][C]5[/C][C]0.604657[/C][C]4.1892[/C][C]6e-05[/C][/ROW]
[ROW][C]6[/C][C]0.49884[/C][C]3.4561[/C][C]0.000578[/C][/ROW]
[ROW][C]7[/C][C]0.386676[/C][C]2.679[/C][C]0.005042[/C][/ROW]
[ROW][C]8[/C][C]0.281108[/C][C]1.9476[/C][C]0.028664[/C][/ROW]
[ROW][C]9[/C][C]0.171844[/C][C]1.1906[/C][C]0.119838[/C][/ROW]
[ROW][C]10[/C][C]0.078749[/C][C]0.5456[/C][C]0.293937[/C][/ROW]
[ROW][C]11[/C][C]0.0046[/C][C]0.0319[/C][C]0.487354[/C][/ROW]
[ROW][C]12[/C][C]-0.073907[/C][C]-0.512[/C][C]0.694515[/C][/ROW]
[ROW][C]13[/C][C]-0.135096[/C][C]-0.936[/C][C]0.823013[/C][/ROW]
[ROW][C]14[/C][C]-0.18243[/C][C]-1.2639[/C][C]0.893818[/C][/ROW]
[ROW][C]15[/C][C]-0.230468[/C][C]-1.5967[/C][C]0.941555[/C][/ROW]
[ROW][C]16[/C][C]-0.274267[/C][C]-1.9002[/C][C]0.968287[/C][/ROW]
[ROW][C]17[/C][C]-0.317625[/C][C]-2.2006[/C][C]0.983695[/C][/ROW]
[ROW][C]18[/C][C]-0.369325[/C][C]-2.5588[/C][C]0.993143[/C][/ROW]
[ROW][C]19[/C][C]-0.392472[/C][C]-2.7191[/C][C]0.995458[/C][/ROW]
[ROW][C]20[/C][C]-0.422548[/C][C]-2.9275[/C][C]0.997395[/C][/ROW]
[ROW][C]21[/C][C]-0.444678[/C][C]-3.0808[/C][C]0.998294[/C][/ROW]
[ROW][C]22[/C][C]-0.453737[/C][C]-3.1436[/C][C]0.99857[/C][/ROW]
[ROW][C]23[/C][C]-0.459574[/C][C]-3.184[/C][C]0.998725[/C][/ROW]
[ROW][C]24[/C][C]-0.459727[/C][C]-3.1851[/C][C]0.998729[/C][/ROW]
[ROW][C]25[/C][C]-0.441319[/C][C]-3.0575[/C][C]0.998179[/C][/ROW]
[ROW][C]26[/C][C]-0.414911[/C][C]-2.8746[/C][C]0.996993[/C][/ROW]
[ROW][C]27[/C][C]-0.367057[/C][C]-2.543[/C][C]0.992866[/C][/ROW]
[ROW][C]28[/C][C]-0.325189[/C][C]-2.253[/C][C]0.985566[/C][/ROW]
[ROW][C]29[/C][C]-0.275608[/C][C]-1.9095[/C][C]0.968906[/C][/ROW]
[ROW][C]30[/C][C]-0.21032[/C][C]-1.4571[/C][C]0.924205[/C][/ROW]
[ROW][C]31[/C][C]-0.155476[/C][C]-1.0772[/C][C]0.856606[/C][/ROW]
[ROW][C]32[/C][C]-0.111084[/C][C]-0.7696[/C][C]0.777349[/C][/ROW]
[ROW][C]33[/C][C]-0.063169[/C][C]-0.4377[/C][C]0.668198[/C][/ROW]
[ROW][C]34[/C][C]-0.021211[/C][C]-0.147[/C][C]0.558109[/C][/ROW]
[ROW][C]35[/C][C]0.010801[/C][C]0.0748[/C][C]0.470329[/C][/ROW]
[ROW][C]36[/C][C]0.04867[/C][C]0.3372[/C][C]0.368719[/C][/ROW]
[ROW][C]37[/C][C]0.07441[/C][C]0.5155[/C][C]0.304275[/C][/ROW]
[ROW][C]38[/C][C]0.094414[/C][C]0.6541[/C][C]0.258079[/C][/ROW]
[ROW][C]39[/C][C]0.097356[/C][C]0.6745[/C][C]0.251615[/C][/ROW]
[ROW][C]40[/C][C]0.092184[/C][C]0.6387[/C][C]0.263036[/C][/ROW]
[ROW][C]41[/C][C]0.084396[/C][C]0.5847[/C][C]0.28074[/C][/ROW]
[ROW][C]42[/C][C]0.071173[/C][C]0.4931[/C][C]0.312094[/C][/ROW]
[ROW][C]43[/C][C]0.05565[/C][C]0.3856[/C][C]0.350766[/C][/ROW]
[ROW][C]44[/C][C]0.044112[/C][C]0.3056[/C][C]0.380608[/C][/ROW]
[ROW][C]45[/C][C]0.036815[/C][C]0.2551[/C][C]0.399883[/C][/ROW]
[ROW][C]46[/C][C]0.024828[/C][C]0.172[/C][C]0.432075[/C][/ROW]
[ROW][C]47[/C][C]0.012761[/C][C]0.0884[/C][C]0.464958[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=62630&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=62630&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
016.92820
10.9409886.51940
20.8789676.08970
30.8005415.54631e-06
40.7066554.89596e-06
50.6046574.18926e-05
60.498843.45610.000578
70.3866762.6790.005042
80.2811081.94760.028664
90.1718441.19060.119838
100.0787490.54560.293937
110.00460.03190.487354
12-0.073907-0.5120.694515
13-0.135096-0.9360.823013
14-0.18243-1.26390.893818
15-0.230468-1.59670.941555
16-0.274267-1.90020.968287
17-0.317625-2.20060.983695
18-0.369325-2.55880.993143
19-0.392472-2.71910.995458
20-0.422548-2.92750.997395
21-0.444678-3.08080.998294
22-0.453737-3.14360.99857
23-0.459574-3.1840.998725
24-0.459727-3.18510.998729
25-0.441319-3.05750.998179
26-0.414911-2.87460.996993
27-0.367057-2.5430.992866
28-0.325189-2.2530.985566
29-0.275608-1.90950.968906
30-0.21032-1.45710.924205
31-0.155476-1.07720.856606
32-0.111084-0.76960.777349
33-0.063169-0.43770.668198
34-0.021211-0.1470.558109
350.0108010.07480.470329
360.048670.33720.368719
370.074410.51550.304275
380.0944140.65410.258079
390.0973560.67450.251615
400.0921840.63870.263036
410.0843960.58470.28074
420.0711730.49310.312094
430.055650.38560.350766
440.0441120.30560.380608
450.0368150.25510.399883
460.0248280.1720.432075
470.0127610.08840.464958







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
00.9409886.51940
1-0.05668-0.39270.651856
2-0.176058-1.21980.885743
3-0.178386-1.23590.888744
4-0.113397-0.78560.78203
5-0.070361-0.48750.685931
6-0.103708-0.71850.762038
7-0.006067-0.0420.516678
8-0.100523-0.69640.755245
90.055360.38350.351504
100.0984260.68190.249285
11-0.139039-0.96330.829885
120.0137730.09540.462189
130.0172640.11960.452645
14-0.108921-0.75460.77292
15-0.105492-0.73090.765795
16-0.110628-0.76650.776421
17-0.181604-1.25820.892796
180.1718621.19070.119814
19-0.069671-0.48270.684248
20-0.040364-0.27960.609526
210.0308420.21370.41585
22-0.003935-0.02730.510818
23-0.041173-0.28530.611662
240.0501880.34770.364788
250.0309910.21470.41545
260.0735570.50960.306326
27-0.109098-0.75580.773284
280.0336530.23320.408317
290.0470150.32570.373023
30-0.077722-0.53850.703631
31-0.087378-0.60540.726108
32-0.016484-0.11420.545223
330.0199970.13850.445195
34-0.039768-0.27550.607949
350.0677820.46960.320382
360.0052790.03660.485488
37-0.088092-0.61030.727736
38-0.092209-0.63880.737018
39-0.052495-0.36370.64116
40-0.096107-0.66580.745651
41-0.050787-0.35190.63676
420.0449340.31130.378455
43-0.018059-0.12510.549522
440.1286210.89110.188657
45-0.080959-0.56090.711263
46-0.043843-0.30380.618686
47NANANA

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & 0.940988 & 6.5194 & 0 \tabularnewline
1 & -0.05668 & -0.3927 & 0.651856 \tabularnewline
2 & -0.176058 & -1.2198 & 0.885743 \tabularnewline
3 & -0.178386 & -1.2359 & 0.888744 \tabularnewline
4 & -0.113397 & -0.7856 & 0.78203 \tabularnewline
5 & -0.070361 & -0.4875 & 0.685931 \tabularnewline
6 & -0.103708 & -0.7185 & 0.762038 \tabularnewline
7 & -0.006067 & -0.042 & 0.516678 \tabularnewline
8 & -0.100523 & -0.6964 & 0.755245 \tabularnewline
9 & 0.05536 & 0.3835 & 0.351504 \tabularnewline
10 & 0.098426 & 0.6819 & 0.249285 \tabularnewline
11 & -0.139039 & -0.9633 & 0.829885 \tabularnewline
12 & 0.013773 & 0.0954 & 0.462189 \tabularnewline
13 & 0.017264 & 0.1196 & 0.452645 \tabularnewline
14 & -0.108921 & -0.7546 & 0.77292 \tabularnewline
15 & -0.105492 & -0.7309 & 0.765795 \tabularnewline
16 & -0.110628 & -0.7665 & 0.776421 \tabularnewline
17 & -0.181604 & -1.2582 & 0.892796 \tabularnewline
18 & 0.171862 & 1.1907 & 0.119814 \tabularnewline
19 & -0.069671 & -0.4827 & 0.684248 \tabularnewline
20 & -0.040364 & -0.2796 & 0.609526 \tabularnewline
21 & 0.030842 & 0.2137 & 0.41585 \tabularnewline
22 & -0.003935 & -0.0273 & 0.510818 \tabularnewline
23 & -0.041173 & -0.2853 & 0.611662 \tabularnewline
24 & 0.050188 & 0.3477 & 0.364788 \tabularnewline
25 & 0.030991 & 0.2147 & 0.41545 \tabularnewline
26 & 0.073557 & 0.5096 & 0.306326 \tabularnewline
27 & -0.109098 & -0.7558 & 0.773284 \tabularnewline
28 & 0.033653 & 0.2332 & 0.408317 \tabularnewline
29 & 0.047015 & 0.3257 & 0.373023 \tabularnewline
30 & -0.077722 & -0.5385 & 0.703631 \tabularnewline
31 & -0.087378 & -0.6054 & 0.726108 \tabularnewline
32 & -0.016484 & -0.1142 & 0.545223 \tabularnewline
33 & 0.019997 & 0.1385 & 0.445195 \tabularnewline
34 & -0.039768 & -0.2755 & 0.607949 \tabularnewline
35 & 0.067782 & 0.4696 & 0.320382 \tabularnewline
36 & 0.005279 & 0.0366 & 0.485488 \tabularnewline
37 & -0.088092 & -0.6103 & 0.727736 \tabularnewline
38 & -0.092209 & -0.6388 & 0.737018 \tabularnewline
39 & -0.052495 & -0.3637 & 0.64116 \tabularnewline
40 & -0.096107 & -0.6658 & 0.745651 \tabularnewline
41 & -0.050787 & -0.3519 & 0.63676 \tabularnewline
42 & 0.044934 & 0.3113 & 0.378455 \tabularnewline
43 & -0.018059 & -0.1251 & 0.549522 \tabularnewline
44 & 0.128621 & 0.8911 & 0.188657 \tabularnewline
45 & -0.080959 & -0.5609 & 0.711263 \tabularnewline
46 & -0.043843 & -0.3038 & 0.618686 \tabularnewline
47 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=62630&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]0.940988[/C][C]6.5194[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]-0.05668[/C][C]-0.3927[/C][C]0.651856[/C][/ROW]
[ROW][C]2[/C][C]-0.176058[/C][C]-1.2198[/C][C]0.885743[/C][/ROW]
[ROW][C]3[/C][C]-0.178386[/C][C]-1.2359[/C][C]0.888744[/C][/ROW]
[ROW][C]4[/C][C]-0.113397[/C][C]-0.7856[/C][C]0.78203[/C][/ROW]
[ROW][C]5[/C][C]-0.070361[/C][C]-0.4875[/C][C]0.685931[/C][/ROW]
[ROW][C]6[/C][C]-0.103708[/C][C]-0.7185[/C][C]0.762038[/C][/ROW]
[ROW][C]7[/C][C]-0.006067[/C][C]-0.042[/C][C]0.516678[/C][/ROW]
[ROW][C]8[/C][C]-0.100523[/C][C]-0.6964[/C][C]0.755245[/C][/ROW]
[ROW][C]9[/C][C]0.05536[/C][C]0.3835[/C][C]0.351504[/C][/ROW]
[ROW][C]10[/C][C]0.098426[/C][C]0.6819[/C][C]0.249285[/C][/ROW]
[ROW][C]11[/C][C]-0.139039[/C][C]-0.9633[/C][C]0.829885[/C][/ROW]
[ROW][C]12[/C][C]0.013773[/C][C]0.0954[/C][C]0.462189[/C][/ROW]
[ROW][C]13[/C][C]0.017264[/C][C]0.1196[/C][C]0.452645[/C][/ROW]
[ROW][C]14[/C][C]-0.108921[/C][C]-0.7546[/C][C]0.77292[/C][/ROW]
[ROW][C]15[/C][C]-0.105492[/C][C]-0.7309[/C][C]0.765795[/C][/ROW]
[ROW][C]16[/C][C]-0.110628[/C][C]-0.7665[/C][C]0.776421[/C][/ROW]
[ROW][C]17[/C][C]-0.181604[/C][C]-1.2582[/C][C]0.892796[/C][/ROW]
[ROW][C]18[/C][C]0.171862[/C][C]1.1907[/C][C]0.119814[/C][/ROW]
[ROW][C]19[/C][C]-0.069671[/C][C]-0.4827[/C][C]0.684248[/C][/ROW]
[ROW][C]20[/C][C]-0.040364[/C][C]-0.2796[/C][C]0.609526[/C][/ROW]
[ROW][C]21[/C][C]0.030842[/C][C]0.2137[/C][C]0.41585[/C][/ROW]
[ROW][C]22[/C][C]-0.003935[/C][C]-0.0273[/C][C]0.510818[/C][/ROW]
[ROW][C]23[/C][C]-0.041173[/C][C]-0.2853[/C][C]0.611662[/C][/ROW]
[ROW][C]24[/C][C]0.050188[/C][C]0.3477[/C][C]0.364788[/C][/ROW]
[ROW][C]25[/C][C]0.030991[/C][C]0.2147[/C][C]0.41545[/C][/ROW]
[ROW][C]26[/C][C]0.073557[/C][C]0.5096[/C][C]0.306326[/C][/ROW]
[ROW][C]27[/C][C]-0.109098[/C][C]-0.7558[/C][C]0.773284[/C][/ROW]
[ROW][C]28[/C][C]0.033653[/C][C]0.2332[/C][C]0.408317[/C][/ROW]
[ROW][C]29[/C][C]0.047015[/C][C]0.3257[/C][C]0.373023[/C][/ROW]
[ROW][C]30[/C][C]-0.077722[/C][C]-0.5385[/C][C]0.703631[/C][/ROW]
[ROW][C]31[/C][C]-0.087378[/C][C]-0.6054[/C][C]0.726108[/C][/ROW]
[ROW][C]32[/C][C]-0.016484[/C][C]-0.1142[/C][C]0.545223[/C][/ROW]
[ROW][C]33[/C][C]0.019997[/C][C]0.1385[/C][C]0.445195[/C][/ROW]
[ROW][C]34[/C][C]-0.039768[/C][C]-0.2755[/C][C]0.607949[/C][/ROW]
[ROW][C]35[/C][C]0.067782[/C][C]0.4696[/C][C]0.320382[/C][/ROW]
[ROW][C]36[/C][C]0.005279[/C][C]0.0366[/C][C]0.485488[/C][/ROW]
[ROW][C]37[/C][C]-0.088092[/C][C]-0.6103[/C][C]0.727736[/C][/ROW]
[ROW][C]38[/C][C]-0.092209[/C][C]-0.6388[/C][C]0.737018[/C][/ROW]
[ROW][C]39[/C][C]-0.052495[/C][C]-0.3637[/C][C]0.64116[/C][/ROW]
[ROW][C]40[/C][C]-0.096107[/C][C]-0.6658[/C][C]0.745651[/C][/ROW]
[ROW][C]41[/C][C]-0.050787[/C][C]-0.3519[/C][C]0.63676[/C][/ROW]
[ROW][C]42[/C][C]0.044934[/C][C]0.3113[/C][C]0.378455[/C][/ROW]
[ROW][C]43[/C][C]-0.018059[/C][C]-0.1251[/C][C]0.549522[/C][/ROW]
[ROW][C]44[/C][C]0.128621[/C][C]0.8911[/C][C]0.188657[/C][/ROW]
[ROW][C]45[/C][C]-0.080959[/C][C]-0.5609[/C][C]0.711263[/C][/ROW]
[ROW][C]46[/C][C]-0.043843[/C][C]-0.3038[/C][C]0.618686[/C][/ROW]
[ROW][C]47[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=62630&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=62630&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
00.9409886.51940
1-0.05668-0.39270.651856
2-0.176058-1.21980.885743
3-0.178386-1.23590.888744
4-0.113397-0.78560.78203
5-0.070361-0.48750.685931
6-0.103708-0.71850.762038
7-0.006067-0.0420.516678
8-0.100523-0.69640.755245
90.055360.38350.351504
100.0984260.68190.249285
11-0.139039-0.96330.829885
120.0137730.09540.462189
130.0172640.11960.452645
14-0.108921-0.75460.77292
15-0.105492-0.73090.765795
16-0.110628-0.76650.776421
17-0.181604-1.25820.892796
180.1718621.19070.119814
19-0.069671-0.48270.684248
20-0.040364-0.27960.609526
210.0308420.21370.41585
22-0.003935-0.02730.510818
23-0.041173-0.28530.611662
240.0501880.34770.364788
250.0309910.21470.41545
260.0735570.50960.306326
27-0.109098-0.75580.773284
280.0336530.23320.408317
290.0470150.32570.373023
30-0.077722-0.53850.703631
31-0.087378-0.60540.726108
32-0.016484-0.11420.545223
330.0199970.13850.445195
34-0.039768-0.27550.607949
350.0677820.46960.320382
360.0052790.03660.485488
37-0.088092-0.61030.727736
38-0.092209-0.63880.737018
39-0.052495-0.36370.64116
40-0.096107-0.66580.745651
41-0.050787-0.35190.63676
420.0449340.31130.378455
43-0.018059-0.12510.549522
440.1286210.89110.188657
45-0.080959-0.56090.711263
46-0.043843-0.30380.618686
47NANANA



Parameters (Session):
par1 = 48 ; par2 = 1 ; par3 = 0 ; par4 = 1 ; par5 = 12 ; par6 = White Noise ;
Parameters (R input):
par1 = 48 ; par2 = 1 ; par3 = 0 ; par4 = 1 ; par5 = 12 ; par6 = White Noise ; par7 = ;
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')