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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationSun, 21 Dec 2008 12:44:30 -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/21/t1229888823zh7280utsj9o9as.htm/, Retrieved Sun, 19 May 2024 09:24:25 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=35786, Retrieved Sun, 19 May 2024 09:24:25 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact155
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Standard Deviation-Mean Plot] [TAAK] [2008-12-16 21:20:43] [f3161d5a04a14312cd010aa8f92941cc]
- RMPD    [(Partial) Autocorrelation Function] [bgf] [2008-12-21 19:44:30] [7a2afff08a618fdf6611a1bb6e1c3da4] [Current]
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Dataseries X:
485
464
460
467
460
448
443
436
431
484
510
513
503
471
471
476
475
470
461
455
456
517
525
523
519
509
512
519
517
510
509
501
507
569
580
578
565
547
555
562
561
555
544
537
543
594
611
613
611
594
595
591
589
584
573
567
569
621
629
628
612
595
597
593
590
580
574
573
573
620
626
620
588
566
557
561
549
532
526
511
499
555
565
542
527
510
514
517
508
493
490
469
478
528




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=35786&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=35786&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35786&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
10.2475262.38710.009504
2-0.165967-1.60050.056436
3-0.268598-2.59030.005566
4-0.283858-2.73740.00371
50.0401960.38760.349584
60.1898841.83120.035139
70.0381590.3680.356859
8-0.305706-2.94810.002021
9-0.269563-2.59960.005428
10-0.147216-1.41970.079519
110.2757812.65950.004607
120.7960317.67660
130.1489151.43610.077166
14-0.134161-1.29380.099468
15-0.237775-2.2930.01205
16-0.230497-2.22280.014325
170.0373410.36010.359795
180.1417621.36710.087445
190.0047650.0460.481722
20-0.304695-2.93840.00208
21-0.238101-2.29620.011956
22-0.094212-0.90850.182969
230.2200252.12180.018255
240.6376626.14940
250.1249611.20510.115615
26-0.139682-1.3470.090619
27-0.237564-2.2910.012111
28-0.195948-1.88970.03096
290.0351170.33870.367817
300.0994320.95890.170051
31-0.00418-0.04030.483968
32-0.268191-2.58630.005626
33-0.193275-1.86390.032747
34-0.079299-0.76470.223185
350.174011.67810.048344
360.5349115.15851e-06
370.1070541.03240.152282
38-0.116472-1.12320.132118
39-0.212051-2.04490.021843
40-0.158842-1.53180.064481
410.0082550.07960.46836
420.077930.75150.227116
43-0.010226-0.09860.460828
44-0.232341-2.24060.013716
45-0.145365-1.40180.082145
46-0.065703-0.63360.263943
470.142651.37570.086115
480.4380554.22452.8e-05
490.0733010.70690.240702
50-0.120776-1.16470.123556
51-0.175588-1.69330.046872
52-0.118568-1.14340.127897
530.0059370.05730.477233
540.0902970.87080.193055
55-0.011121-0.10720.457412
56-0.189359-1.82610.035521
57-0.095328-0.91930.180155
58-0.055983-0.53990.295285
590.1212411.16920.122653
600.3456243.33310.000617

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.247526 & 2.3871 & 0.009504 \tabularnewline
2 & -0.165967 & -1.6005 & 0.056436 \tabularnewline
3 & -0.268598 & -2.5903 & 0.005566 \tabularnewline
4 & -0.283858 & -2.7374 & 0.00371 \tabularnewline
5 & 0.040196 & 0.3876 & 0.349584 \tabularnewline
6 & 0.189884 & 1.8312 & 0.035139 \tabularnewline
7 & 0.038159 & 0.368 & 0.356859 \tabularnewline
8 & -0.305706 & -2.9481 & 0.002021 \tabularnewline
9 & -0.269563 & -2.5996 & 0.005428 \tabularnewline
10 & -0.147216 & -1.4197 & 0.079519 \tabularnewline
11 & 0.275781 & 2.6595 & 0.004607 \tabularnewline
12 & 0.796031 & 7.6766 & 0 \tabularnewline
13 & 0.148915 & 1.4361 & 0.077166 \tabularnewline
14 & -0.134161 & -1.2938 & 0.099468 \tabularnewline
15 & -0.237775 & -2.293 & 0.01205 \tabularnewline
16 & -0.230497 & -2.2228 & 0.014325 \tabularnewline
17 & 0.037341 & 0.3601 & 0.359795 \tabularnewline
18 & 0.141762 & 1.3671 & 0.087445 \tabularnewline
19 & 0.004765 & 0.046 & 0.481722 \tabularnewline
20 & -0.304695 & -2.9384 & 0.00208 \tabularnewline
21 & -0.238101 & -2.2962 & 0.011956 \tabularnewline
22 & -0.094212 & -0.9085 & 0.182969 \tabularnewline
23 & 0.220025 & 2.1218 & 0.018255 \tabularnewline
24 & 0.637662 & 6.1494 & 0 \tabularnewline
25 & 0.124961 & 1.2051 & 0.115615 \tabularnewline
26 & -0.139682 & -1.347 & 0.090619 \tabularnewline
27 & -0.237564 & -2.291 & 0.012111 \tabularnewline
28 & -0.195948 & -1.8897 & 0.03096 \tabularnewline
29 & 0.035117 & 0.3387 & 0.367817 \tabularnewline
30 & 0.099432 & 0.9589 & 0.170051 \tabularnewline
31 & -0.00418 & -0.0403 & 0.483968 \tabularnewline
32 & -0.268191 & -2.5863 & 0.005626 \tabularnewline
33 & -0.193275 & -1.8639 & 0.032747 \tabularnewline
34 & -0.079299 & -0.7647 & 0.223185 \tabularnewline
35 & 0.17401 & 1.6781 & 0.048344 \tabularnewline
36 & 0.534911 & 5.1585 & 1e-06 \tabularnewline
37 & 0.107054 & 1.0324 & 0.152282 \tabularnewline
38 & -0.116472 & -1.1232 & 0.132118 \tabularnewline
39 & -0.212051 & -2.0449 & 0.021843 \tabularnewline
40 & -0.158842 & -1.5318 & 0.064481 \tabularnewline
41 & 0.008255 & 0.0796 & 0.46836 \tabularnewline
42 & 0.07793 & 0.7515 & 0.227116 \tabularnewline
43 & -0.010226 & -0.0986 & 0.460828 \tabularnewline
44 & -0.232341 & -2.2406 & 0.013716 \tabularnewline
45 & -0.145365 & -1.4018 & 0.082145 \tabularnewline
46 & -0.065703 & -0.6336 & 0.263943 \tabularnewline
47 & 0.14265 & 1.3757 & 0.086115 \tabularnewline
48 & 0.438055 & 4.2245 & 2.8e-05 \tabularnewline
49 & 0.073301 & 0.7069 & 0.240702 \tabularnewline
50 & -0.120776 & -1.1647 & 0.123556 \tabularnewline
51 & -0.175588 & -1.6933 & 0.046872 \tabularnewline
52 & -0.118568 & -1.1434 & 0.127897 \tabularnewline
53 & 0.005937 & 0.0573 & 0.477233 \tabularnewline
54 & 0.090297 & 0.8708 & 0.193055 \tabularnewline
55 & -0.011121 & -0.1072 & 0.457412 \tabularnewline
56 & -0.189359 & -1.8261 & 0.035521 \tabularnewline
57 & -0.095328 & -0.9193 & 0.180155 \tabularnewline
58 & -0.055983 & -0.5399 & 0.295285 \tabularnewline
59 & 0.121241 & 1.1692 & 0.122653 \tabularnewline
60 & 0.345624 & 3.3331 & 0.000617 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=35786&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]0.247526[/C][C]2.3871[/C][C]0.009504[/C][/ROW]
[ROW][C]2[/C][C]-0.165967[/C][C]-1.6005[/C][C]0.056436[/C][/ROW]
[ROW][C]3[/C][C]-0.268598[/C][C]-2.5903[/C][C]0.005566[/C][/ROW]
[ROW][C]4[/C][C]-0.283858[/C][C]-2.7374[/C][C]0.00371[/C][/ROW]
[ROW][C]5[/C][C]0.040196[/C][C]0.3876[/C][C]0.349584[/C][/ROW]
[ROW][C]6[/C][C]0.189884[/C][C]1.8312[/C][C]0.035139[/C][/ROW]
[ROW][C]7[/C][C]0.038159[/C][C]0.368[/C][C]0.356859[/C][/ROW]
[ROW][C]8[/C][C]-0.305706[/C][C]-2.9481[/C][C]0.002021[/C][/ROW]
[ROW][C]9[/C][C]-0.269563[/C][C]-2.5996[/C][C]0.005428[/C][/ROW]
[ROW][C]10[/C][C]-0.147216[/C][C]-1.4197[/C][C]0.079519[/C][/ROW]
[ROW][C]11[/C][C]0.275781[/C][C]2.6595[/C][C]0.004607[/C][/ROW]
[ROW][C]12[/C][C]0.796031[/C][C]7.6766[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]0.148915[/C][C]1.4361[/C][C]0.077166[/C][/ROW]
[ROW][C]14[/C][C]-0.134161[/C][C]-1.2938[/C][C]0.099468[/C][/ROW]
[ROW][C]15[/C][C]-0.237775[/C][C]-2.293[/C][C]0.01205[/C][/ROW]
[ROW][C]16[/C][C]-0.230497[/C][C]-2.2228[/C][C]0.014325[/C][/ROW]
[ROW][C]17[/C][C]0.037341[/C][C]0.3601[/C][C]0.359795[/C][/ROW]
[ROW][C]18[/C][C]0.141762[/C][C]1.3671[/C][C]0.087445[/C][/ROW]
[ROW][C]19[/C][C]0.004765[/C][C]0.046[/C][C]0.481722[/C][/ROW]
[ROW][C]20[/C][C]-0.304695[/C][C]-2.9384[/C][C]0.00208[/C][/ROW]
[ROW][C]21[/C][C]-0.238101[/C][C]-2.2962[/C][C]0.011956[/C][/ROW]
[ROW][C]22[/C][C]-0.094212[/C][C]-0.9085[/C][C]0.182969[/C][/ROW]
[ROW][C]23[/C][C]0.220025[/C][C]2.1218[/C][C]0.018255[/C][/ROW]
[ROW][C]24[/C][C]0.637662[/C][C]6.1494[/C][C]0[/C][/ROW]
[ROW][C]25[/C][C]0.124961[/C][C]1.2051[/C][C]0.115615[/C][/ROW]
[ROW][C]26[/C][C]-0.139682[/C][C]-1.347[/C][C]0.090619[/C][/ROW]
[ROW][C]27[/C][C]-0.237564[/C][C]-2.291[/C][C]0.012111[/C][/ROW]
[ROW][C]28[/C][C]-0.195948[/C][C]-1.8897[/C][C]0.03096[/C][/ROW]
[ROW][C]29[/C][C]0.035117[/C][C]0.3387[/C][C]0.367817[/C][/ROW]
[ROW][C]30[/C][C]0.099432[/C][C]0.9589[/C][C]0.170051[/C][/ROW]
[ROW][C]31[/C][C]-0.00418[/C][C]-0.0403[/C][C]0.483968[/C][/ROW]
[ROW][C]32[/C][C]-0.268191[/C][C]-2.5863[/C][C]0.005626[/C][/ROW]
[ROW][C]33[/C][C]-0.193275[/C][C]-1.8639[/C][C]0.032747[/C][/ROW]
[ROW][C]34[/C][C]-0.079299[/C][C]-0.7647[/C][C]0.223185[/C][/ROW]
[ROW][C]35[/C][C]0.17401[/C][C]1.6781[/C][C]0.048344[/C][/ROW]
[ROW][C]36[/C][C]0.534911[/C][C]5.1585[/C][C]1e-06[/C][/ROW]
[ROW][C]37[/C][C]0.107054[/C][C]1.0324[/C][C]0.152282[/C][/ROW]
[ROW][C]38[/C][C]-0.116472[/C][C]-1.1232[/C][C]0.132118[/C][/ROW]
[ROW][C]39[/C][C]-0.212051[/C][C]-2.0449[/C][C]0.021843[/C][/ROW]
[ROW][C]40[/C][C]-0.158842[/C][C]-1.5318[/C][C]0.064481[/C][/ROW]
[ROW][C]41[/C][C]0.008255[/C][C]0.0796[/C][C]0.46836[/C][/ROW]
[ROW][C]42[/C][C]0.07793[/C][C]0.7515[/C][C]0.227116[/C][/ROW]
[ROW][C]43[/C][C]-0.010226[/C][C]-0.0986[/C][C]0.460828[/C][/ROW]
[ROW][C]44[/C][C]-0.232341[/C][C]-2.2406[/C][C]0.013716[/C][/ROW]
[ROW][C]45[/C][C]-0.145365[/C][C]-1.4018[/C][C]0.082145[/C][/ROW]
[ROW][C]46[/C][C]-0.065703[/C][C]-0.6336[/C][C]0.263943[/C][/ROW]
[ROW][C]47[/C][C]0.14265[/C][C]1.3757[/C][C]0.086115[/C][/ROW]
[ROW][C]48[/C][C]0.438055[/C][C]4.2245[/C][C]2.8e-05[/C][/ROW]
[ROW][C]49[/C][C]0.073301[/C][C]0.7069[/C][C]0.240702[/C][/ROW]
[ROW][C]50[/C][C]-0.120776[/C][C]-1.1647[/C][C]0.123556[/C][/ROW]
[ROW][C]51[/C][C]-0.175588[/C][C]-1.6933[/C][C]0.046872[/C][/ROW]
[ROW][C]52[/C][C]-0.118568[/C][C]-1.1434[/C][C]0.127897[/C][/ROW]
[ROW][C]53[/C][C]0.005937[/C][C]0.0573[/C][C]0.477233[/C][/ROW]
[ROW][C]54[/C][C]0.090297[/C][C]0.8708[/C][C]0.193055[/C][/ROW]
[ROW][C]55[/C][C]-0.011121[/C][C]-0.1072[/C][C]0.457412[/C][/ROW]
[ROW][C]56[/C][C]-0.189359[/C][C]-1.8261[/C][C]0.035521[/C][/ROW]
[ROW][C]57[/C][C]-0.095328[/C][C]-0.9193[/C][C]0.180155[/C][/ROW]
[ROW][C]58[/C][C]-0.055983[/C][C]-0.5399[/C][C]0.295285[/C][/ROW]
[ROW][C]59[/C][C]0.121241[/C][C]1.1692[/C][C]0.122653[/C][/ROW]
[ROW][C]60[/C][C]0.345624[/C][C]3.3331[/C][C]0.000617[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=35786&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35786&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
10.2475262.38710.009504
2-0.165967-1.60050.056436
3-0.268598-2.59030.005566
4-0.283858-2.73740.00371
50.0401960.38760.349584
60.1898841.83120.035139
70.0381590.3680.356859
8-0.305706-2.94810.002021
9-0.269563-2.59960.005428
10-0.147216-1.41970.079519
110.2757812.65950.004607
120.7960317.67660
130.1489151.43610.077166
14-0.134161-1.29380.099468
15-0.237775-2.2930.01205
16-0.230497-2.22280.014325
170.0373410.36010.359795
180.1417621.36710.087445
190.0047650.0460.481722
20-0.304695-2.93840.00208
21-0.238101-2.29620.011956
22-0.094212-0.90850.182969
230.2200252.12180.018255
240.6376626.14940
250.1249611.20510.115615
26-0.139682-1.3470.090619
27-0.237564-2.2910.012111
28-0.195948-1.88970.03096
290.0351170.33870.367817
300.0994320.95890.170051
31-0.00418-0.04030.483968
32-0.268191-2.58630.005626
33-0.193275-1.86390.032747
34-0.079299-0.76470.223185
350.174011.67810.048344
360.5349115.15851e-06
370.1070541.03240.152282
38-0.116472-1.12320.132118
39-0.212051-2.04490.021843
40-0.158842-1.53180.064481
410.0082550.07960.46836
420.077930.75150.227116
43-0.010226-0.09860.460828
44-0.232341-2.24060.013716
45-0.145365-1.40180.082145
46-0.065703-0.63360.263943
470.142651.37570.086115
480.4380554.22452.8e-05
490.0733010.70690.240702
50-0.120776-1.16470.123556
51-0.175588-1.69330.046872
52-0.118568-1.14340.127897
530.0059370.05730.477233
540.0902970.87080.193055
55-0.011121-0.10720.457412
56-0.189359-1.82610.035521
57-0.095328-0.91930.180155
58-0.055983-0.53990.295285
590.1212411.16920.122653
600.3456243.33310.000617







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.2475262.38710.009504
2-0.242068-2.33440.010863
3-0.178398-1.72040.044342
4-0.233512-2.25190.013341
50.0986310.95120.171993
60.0320640.30920.378926
7-0.105963-1.02190.154746
8-0.367974-3.54860.000305
9-0.111826-1.07840.14182
10-0.198759-1.91680.029169
110.2118872.04340.021923
120.6727286.48760
13-0.19653-1.89530.030582
140.1439671.38840.084171
150.0122060.11770.453275
160.048370.46650.320987
17-0.074385-0.71730.237481
18-0.109034-1.05150.147881
19-0.015634-0.15080.440242
20-0.014995-0.14460.442667
21-0.001901-0.01830.492706
220.0346080.33370.36966
23-0.226043-2.17990.015896
240.1474351.42180.079213
250.025110.24220.404598
26-0.153137-1.47680.071554
27-0.071657-0.6910.245632
28-0.061021-0.58850.278824
290.0321340.30990.378668
30-0.08302-0.80060.212697
31-0.038733-0.37350.354802
320.0577720.55710.289389
33-0.016017-0.15450.438789
34-0.01959-0.18890.425284
35-0.042222-0.40720.342409
36-0.037839-0.36490.358006
370.0511770.49350.311399
380.0245660.23690.406626
39-0.036702-0.35390.36209
40-0.005944-0.05730.477204
41-0.061455-0.59260.277428
420.0898350.86630.194268
43-0.127579-1.23030.110838
44-0.013889-0.13390.446871
450.0390130.37620.353803
46-0.043897-0.42330.336519
47-0.022427-0.21630.414624
48-0.067857-0.65440.257239
49-0.092027-0.88750.188556
50-0.055911-0.53920.295522
51-0.018334-0.17680.430024
52-0.00349-0.03370.486613
53-0.060996-0.58820.278904
540.0568190.54790.292521
550.0193270.18640.426276
56-0.008896-0.08580.465909
570.0279570.26960.394029
58-0.04819-0.46470.321605
590.0168530.16250.435623
60-0.080251-0.77390.220473

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.247526 & 2.3871 & 0.009504 \tabularnewline
2 & -0.242068 & -2.3344 & 0.010863 \tabularnewline
3 & -0.178398 & -1.7204 & 0.044342 \tabularnewline
4 & -0.233512 & -2.2519 & 0.013341 \tabularnewline
5 & 0.098631 & 0.9512 & 0.171993 \tabularnewline
6 & 0.032064 & 0.3092 & 0.378926 \tabularnewline
7 & -0.105963 & -1.0219 & 0.154746 \tabularnewline
8 & -0.367974 & -3.5486 & 0.000305 \tabularnewline
9 & -0.111826 & -1.0784 & 0.14182 \tabularnewline
10 & -0.198759 & -1.9168 & 0.029169 \tabularnewline
11 & 0.211887 & 2.0434 & 0.021923 \tabularnewline
12 & 0.672728 & 6.4876 & 0 \tabularnewline
13 & -0.19653 & -1.8953 & 0.030582 \tabularnewline
14 & 0.143967 & 1.3884 & 0.084171 \tabularnewline
15 & 0.012206 & 0.1177 & 0.453275 \tabularnewline
16 & 0.04837 & 0.4665 & 0.320987 \tabularnewline
17 & -0.074385 & -0.7173 & 0.237481 \tabularnewline
18 & -0.109034 & -1.0515 & 0.147881 \tabularnewline
19 & -0.015634 & -0.1508 & 0.440242 \tabularnewline
20 & -0.014995 & -0.1446 & 0.442667 \tabularnewline
21 & -0.001901 & -0.0183 & 0.492706 \tabularnewline
22 & 0.034608 & 0.3337 & 0.36966 \tabularnewline
23 & -0.226043 & -2.1799 & 0.015896 \tabularnewline
24 & 0.147435 & 1.4218 & 0.079213 \tabularnewline
25 & 0.02511 & 0.2422 & 0.404598 \tabularnewline
26 & -0.153137 & -1.4768 & 0.071554 \tabularnewline
27 & -0.071657 & -0.691 & 0.245632 \tabularnewline
28 & -0.061021 & -0.5885 & 0.278824 \tabularnewline
29 & 0.032134 & 0.3099 & 0.378668 \tabularnewline
30 & -0.08302 & -0.8006 & 0.212697 \tabularnewline
31 & -0.038733 & -0.3735 & 0.354802 \tabularnewline
32 & 0.057772 & 0.5571 & 0.289389 \tabularnewline
33 & -0.016017 & -0.1545 & 0.438789 \tabularnewline
34 & -0.01959 & -0.1889 & 0.425284 \tabularnewline
35 & -0.042222 & -0.4072 & 0.342409 \tabularnewline
36 & -0.037839 & -0.3649 & 0.358006 \tabularnewline
37 & 0.051177 & 0.4935 & 0.311399 \tabularnewline
38 & 0.024566 & 0.2369 & 0.406626 \tabularnewline
39 & -0.036702 & -0.3539 & 0.36209 \tabularnewline
40 & -0.005944 & -0.0573 & 0.477204 \tabularnewline
41 & -0.061455 & -0.5926 & 0.277428 \tabularnewline
42 & 0.089835 & 0.8663 & 0.194268 \tabularnewline
43 & -0.127579 & -1.2303 & 0.110838 \tabularnewline
44 & -0.013889 & -0.1339 & 0.446871 \tabularnewline
45 & 0.039013 & 0.3762 & 0.353803 \tabularnewline
46 & -0.043897 & -0.4233 & 0.336519 \tabularnewline
47 & -0.022427 & -0.2163 & 0.414624 \tabularnewline
48 & -0.067857 & -0.6544 & 0.257239 \tabularnewline
49 & -0.092027 & -0.8875 & 0.188556 \tabularnewline
50 & -0.055911 & -0.5392 & 0.295522 \tabularnewline
51 & -0.018334 & -0.1768 & 0.430024 \tabularnewline
52 & -0.00349 & -0.0337 & 0.486613 \tabularnewline
53 & -0.060996 & -0.5882 & 0.278904 \tabularnewline
54 & 0.056819 & 0.5479 & 0.292521 \tabularnewline
55 & 0.019327 & 0.1864 & 0.426276 \tabularnewline
56 & -0.008896 & -0.0858 & 0.465909 \tabularnewline
57 & 0.027957 & 0.2696 & 0.394029 \tabularnewline
58 & -0.04819 & -0.4647 & 0.321605 \tabularnewline
59 & 0.016853 & 0.1625 & 0.435623 \tabularnewline
60 & -0.080251 & -0.7739 & 0.220473 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=35786&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]0.247526[/C][C]2.3871[/C][C]0.009504[/C][/ROW]
[ROW][C]2[/C][C]-0.242068[/C][C]-2.3344[/C][C]0.010863[/C][/ROW]
[ROW][C]3[/C][C]-0.178398[/C][C]-1.7204[/C][C]0.044342[/C][/ROW]
[ROW][C]4[/C][C]-0.233512[/C][C]-2.2519[/C][C]0.013341[/C][/ROW]
[ROW][C]5[/C][C]0.098631[/C][C]0.9512[/C][C]0.171993[/C][/ROW]
[ROW][C]6[/C][C]0.032064[/C][C]0.3092[/C][C]0.378926[/C][/ROW]
[ROW][C]7[/C][C]-0.105963[/C][C]-1.0219[/C][C]0.154746[/C][/ROW]
[ROW][C]8[/C][C]-0.367974[/C][C]-3.5486[/C][C]0.000305[/C][/ROW]
[ROW][C]9[/C][C]-0.111826[/C][C]-1.0784[/C][C]0.14182[/C][/ROW]
[ROW][C]10[/C][C]-0.198759[/C][C]-1.9168[/C][C]0.029169[/C][/ROW]
[ROW][C]11[/C][C]0.211887[/C][C]2.0434[/C][C]0.021923[/C][/ROW]
[ROW][C]12[/C][C]0.672728[/C][C]6.4876[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]-0.19653[/C][C]-1.8953[/C][C]0.030582[/C][/ROW]
[ROW][C]14[/C][C]0.143967[/C][C]1.3884[/C][C]0.084171[/C][/ROW]
[ROW][C]15[/C][C]0.012206[/C][C]0.1177[/C][C]0.453275[/C][/ROW]
[ROW][C]16[/C][C]0.04837[/C][C]0.4665[/C][C]0.320987[/C][/ROW]
[ROW][C]17[/C][C]-0.074385[/C][C]-0.7173[/C][C]0.237481[/C][/ROW]
[ROW][C]18[/C][C]-0.109034[/C][C]-1.0515[/C][C]0.147881[/C][/ROW]
[ROW][C]19[/C][C]-0.015634[/C][C]-0.1508[/C][C]0.440242[/C][/ROW]
[ROW][C]20[/C][C]-0.014995[/C][C]-0.1446[/C][C]0.442667[/C][/ROW]
[ROW][C]21[/C][C]-0.001901[/C][C]-0.0183[/C][C]0.492706[/C][/ROW]
[ROW][C]22[/C][C]0.034608[/C][C]0.3337[/C][C]0.36966[/C][/ROW]
[ROW][C]23[/C][C]-0.226043[/C][C]-2.1799[/C][C]0.015896[/C][/ROW]
[ROW][C]24[/C][C]0.147435[/C][C]1.4218[/C][C]0.079213[/C][/ROW]
[ROW][C]25[/C][C]0.02511[/C][C]0.2422[/C][C]0.404598[/C][/ROW]
[ROW][C]26[/C][C]-0.153137[/C][C]-1.4768[/C][C]0.071554[/C][/ROW]
[ROW][C]27[/C][C]-0.071657[/C][C]-0.691[/C][C]0.245632[/C][/ROW]
[ROW][C]28[/C][C]-0.061021[/C][C]-0.5885[/C][C]0.278824[/C][/ROW]
[ROW][C]29[/C][C]0.032134[/C][C]0.3099[/C][C]0.378668[/C][/ROW]
[ROW][C]30[/C][C]-0.08302[/C][C]-0.8006[/C][C]0.212697[/C][/ROW]
[ROW][C]31[/C][C]-0.038733[/C][C]-0.3735[/C][C]0.354802[/C][/ROW]
[ROW][C]32[/C][C]0.057772[/C][C]0.5571[/C][C]0.289389[/C][/ROW]
[ROW][C]33[/C][C]-0.016017[/C][C]-0.1545[/C][C]0.438789[/C][/ROW]
[ROW][C]34[/C][C]-0.01959[/C][C]-0.1889[/C][C]0.425284[/C][/ROW]
[ROW][C]35[/C][C]-0.042222[/C][C]-0.4072[/C][C]0.342409[/C][/ROW]
[ROW][C]36[/C][C]-0.037839[/C][C]-0.3649[/C][C]0.358006[/C][/ROW]
[ROW][C]37[/C][C]0.051177[/C][C]0.4935[/C][C]0.311399[/C][/ROW]
[ROW][C]38[/C][C]0.024566[/C][C]0.2369[/C][C]0.406626[/C][/ROW]
[ROW][C]39[/C][C]-0.036702[/C][C]-0.3539[/C][C]0.36209[/C][/ROW]
[ROW][C]40[/C][C]-0.005944[/C][C]-0.0573[/C][C]0.477204[/C][/ROW]
[ROW][C]41[/C][C]-0.061455[/C][C]-0.5926[/C][C]0.277428[/C][/ROW]
[ROW][C]42[/C][C]0.089835[/C][C]0.8663[/C][C]0.194268[/C][/ROW]
[ROW][C]43[/C][C]-0.127579[/C][C]-1.2303[/C][C]0.110838[/C][/ROW]
[ROW][C]44[/C][C]-0.013889[/C][C]-0.1339[/C][C]0.446871[/C][/ROW]
[ROW][C]45[/C][C]0.039013[/C][C]0.3762[/C][C]0.353803[/C][/ROW]
[ROW][C]46[/C][C]-0.043897[/C][C]-0.4233[/C][C]0.336519[/C][/ROW]
[ROW][C]47[/C][C]-0.022427[/C][C]-0.2163[/C][C]0.414624[/C][/ROW]
[ROW][C]48[/C][C]-0.067857[/C][C]-0.6544[/C][C]0.257239[/C][/ROW]
[ROW][C]49[/C][C]-0.092027[/C][C]-0.8875[/C][C]0.188556[/C][/ROW]
[ROW][C]50[/C][C]-0.055911[/C][C]-0.5392[/C][C]0.295522[/C][/ROW]
[ROW][C]51[/C][C]-0.018334[/C][C]-0.1768[/C][C]0.430024[/C][/ROW]
[ROW][C]52[/C][C]-0.00349[/C][C]-0.0337[/C][C]0.486613[/C][/ROW]
[ROW][C]53[/C][C]-0.060996[/C][C]-0.5882[/C][C]0.278904[/C][/ROW]
[ROW][C]54[/C][C]0.056819[/C][C]0.5479[/C][C]0.292521[/C][/ROW]
[ROW][C]55[/C][C]0.019327[/C][C]0.1864[/C][C]0.426276[/C][/ROW]
[ROW][C]56[/C][C]-0.008896[/C][C]-0.0858[/C][C]0.465909[/C][/ROW]
[ROW][C]57[/C][C]0.027957[/C][C]0.2696[/C][C]0.394029[/C][/ROW]
[ROW][C]58[/C][C]-0.04819[/C][C]-0.4647[/C][C]0.321605[/C][/ROW]
[ROW][C]59[/C][C]0.016853[/C][C]0.1625[/C][C]0.435623[/C][/ROW]
[ROW][C]60[/C][C]-0.080251[/C][C]-0.7739[/C][C]0.220473[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=35786&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35786&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
10.2475262.38710.009504
2-0.242068-2.33440.010863
3-0.178398-1.72040.044342
4-0.233512-2.25190.013341
50.0986310.95120.171993
60.0320640.30920.378926
7-0.105963-1.02190.154746
8-0.367974-3.54860.000305
9-0.111826-1.07840.14182
10-0.198759-1.91680.029169
110.2118872.04340.021923
120.6727286.48760
13-0.19653-1.89530.030582
140.1439671.38840.084171
150.0122060.11770.453275
160.048370.46650.320987
17-0.074385-0.71730.237481
18-0.109034-1.05150.147881
19-0.015634-0.15080.440242
20-0.014995-0.14460.442667
21-0.001901-0.01830.492706
220.0346080.33370.36966
23-0.226043-2.17990.015896
240.1474351.42180.079213
250.025110.24220.404598
26-0.153137-1.47680.071554
27-0.071657-0.6910.245632
28-0.061021-0.58850.278824
290.0321340.30990.378668
30-0.08302-0.80060.212697
31-0.038733-0.37350.354802
320.0577720.55710.289389
33-0.016017-0.15450.438789
34-0.01959-0.18890.425284
35-0.042222-0.40720.342409
36-0.037839-0.36490.358006
370.0511770.49350.311399
380.0245660.23690.406626
39-0.036702-0.35390.36209
40-0.005944-0.05730.477204
41-0.061455-0.59260.277428
420.0898350.86630.194268
43-0.127579-1.23030.110838
44-0.013889-0.13390.446871
450.0390130.37620.353803
46-0.043897-0.42330.336519
47-0.022427-0.21630.414624
48-0.067857-0.65440.257239
49-0.092027-0.88750.188556
50-0.055911-0.53920.295522
51-0.018334-0.17680.430024
52-0.00349-0.03370.486613
53-0.060996-0.58820.278904
540.0568190.54790.292521
550.0193270.18640.426276
56-0.008896-0.08580.465909
570.0279570.26960.394029
58-0.04819-0.46470.321605
590.0168530.16250.435623
60-0.080251-0.77390.220473



Parameters (Session):
par1 = 60 ; par2 = 1 ; par3 = 1 ; par4 = 0 ; par5 = 12 ;
Parameters (R input):
par1 = 60 ; par2 = 1 ; par3 = 1 ; 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')