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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, 17 May 2009 04:05:06 -0600
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/May/17/t1242555031jtk1u76y68xkpp1.htm/, Retrieved Fri, 03 May 2024 17:28:08 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=40189, Retrieved Fri, 03 May 2024 17:28:08 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact173
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [Kempeneers Liesbe...] [2009-05-17 10:05:06] [866e757444a60b1c09d57e14cc8533e4] [Current]
-         [(Partial) Autocorrelation Function] [] [2009-06-02 15:57:04] [74be16979710d4c4e7c6647856088456]
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Dataseries X:
196.9
192.1 
201.8 
186.9
218.0
214.4
227.5
204.1
225.8
223.7
244.7
243.9
257.3
234.5
251.4
243.8
247.4
245.3
262.5
270.0
259.9
262.2
244.9
249.3
268.2
231.2
264.3
252.7
275.5
261.5
275.5
272.3
268.6
270.4
267.7
275.0
272.6
248.6
279.4
270.5
292.8
297.8
296.8
290.9
282.8
312.8
303.2
301.4
289.8
279.6
302.2
299.1
319.7
310.9
315.2
338.5
315.6
321.2
318.5
342.7
261.4
287.0
331.5
326.9
338.6
337.0
358.4
344.5
345.7
344.1
317.4
354.5
345.2
314.1
352.5
361.2
365.9
332.5
364.0
359.1
345.6
366.9
370.2
359.9
366.6
336.3
368.5
374.2
384.3
358.9
407.7
433.3
404.7
392.7
409.7
416.5
414.3
404.3
421.4
372.6
404.7
420.2
438.4
449.1
445.8
413.8
420.5
442.3
438.9
394.5
416.8
402.9
424.5
432.3
484.1
492.7
496.3
471.9
491.2
512.9
482.4
407.9
448.5
431.1
498.8
497.1
517.1
487.7
512.5
550.1
532.5
524.1
515.7
461.0
529.3
467.4
559.8
536.5
531.9
546.5
547.4
536.1
482.8
551.0
532.9
484.1
554.8
537.0
558.0
511.4
502.9
558.6
545.1
574.3
542.2
600.0
588.6
524.4
618.5
580.9
557.2
571.2
597.5
601.7
558.9
600.9
601.0
615.7
578.1
495.9
526.8
522.1
605.1
574.4
609.7
580.7
565.1
590.7
571.5
601.3
567.3
467.9
588.9
579.4
502.6
568.7
616.0
586.2
575.5
599.9
568.2
516.0
493.4
496.8
529.9
491.7
543.2
490.8
554.7
625.7
605.0
645.2
645.2
611.8
600.3
549.8
635.5
617.7
643.5
485.7
689.5
692.0
677.3
704.7
668.6
717.8
689.8
640.4
675.2
528.1
538.0
527.2
655.6
650.6
623.7
748.4
727.4
750.5
678.9
659.5
691.9
639.8
663.8
572.9
592.5
734.8
696.1
589.2
662.9
661.2
672.1
583.7
705.5
631.0
733.3
674.9
695.5
634.1
630.6
635.2
554.1
623.9
679.3
565.6
564.1
637.2
650.8
602.7
587.5
619.2
616.5
637.9
557.9
594.0
668.7
603.3
674.5
573.4
706.0
693.7
627.5
550.7
592.3
660.2
597.3
641.0
663.6
595.9
638.4
665.4
671.4
637.0
685.7
705.8
704.8
734.4
674.2
748.6
763.4
658.0
627.5
528.9
488.3
575.5
735.6
685.3
613.6
629.5
634.7
652.6
728.3
634.3
690.7
676.3
675.4
595.6
712.4
735.8
544.4
567.0
510.0
564.0
630.7
496.7
660.9
601.2
655.2
591.6
606.1
560.7
368.3
371.6
413.9
413.9
389.0
399.2
429.8
395.6
472
486
525
396
511
525
492
517
525
474
539
468
543
532
565
535
534
546
494
552
511
451
537
494
549
544
598
583
582
589
578
561
592
504
545
547
585
562
520
581
590
562
548
567
542
473
531
462
479
533
552
547
562
524
479
445
406
475
589
495
484
536
555
565
564
573
569
588
546
508
560
558
516
549
595
586
597
592
538
590
576
451
538
555
532
530
553
626
601
573
569
562
468
483
460
411
458
455
600
605
545
549
415
568
577
517
558
518
489
502
569
540
550
557
542
542
582
525
584
562
639
613
604
613
625
654
638





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135
R Framework error message
Warning: there are blank lines in the 'Data' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.

\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 & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
R Framework error message & 
Warning: there are blank lines in the 'Data' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.
\tabularnewline \hline \end{tabular} %Source: https://freestatistics.org/blog/index.php?pk=40189&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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[ROW][C]R Framework error message[/C][C]
Warning: there are blank lines in the 'Data' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.
[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=40189&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=40189&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 time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135
R Framework error message
Warning: there are blank lines in the 'Data' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.91874819.59760
20.89075419.00040
30.87103118.57970
40.85064518.14490
50.83452117.80090
60.80925717.2620
70.80981717.2740
80.79682216.99680
90.79543416.96720
100.80076517.08090
110.78794216.80740
120.80668717.20720
130.77561216.54440
140.76607516.34090
150.74752615.94530
160.73661715.71260
170.72905215.55120
180.70519215.04230
190.70385915.01380
200.6931914.78630
210.69040814.72690
220.68766814.66850
230.66324314.14750
240.68115314.52950
250.65569713.98650
260.65112513.8890
270.64138513.68120
280.63677813.58290
290.62718813.37840
300.60913512.99330
310.60194412.83990
320.58922712.56860
330.58882212.560
340.59139712.61490
350.57241112.20990
360.58582512.49610
370.56012911.9480
380.57075412.17460
390.55899611.92380
400.54199911.56120
410.53621911.43790
420.51992111.09030
430.51903111.07130
440.50214210.71110
450.50102110.68710
460.50585510.79030
470.49044210.46150
480.50829210.84220

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.918748 & 19.5976 & 0 \tabularnewline
2 & 0.890754 & 19.0004 & 0 \tabularnewline
3 & 0.871031 & 18.5797 & 0 \tabularnewline
4 & 0.850645 & 18.1449 & 0 \tabularnewline
5 & 0.834521 & 17.8009 & 0 \tabularnewline
6 & 0.809257 & 17.262 & 0 \tabularnewline
7 & 0.809817 & 17.274 & 0 \tabularnewline
8 & 0.796822 & 16.9968 & 0 \tabularnewline
9 & 0.795434 & 16.9672 & 0 \tabularnewline
10 & 0.800765 & 17.0809 & 0 \tabularnewline
11 & 0.787942 & 16.8074 & 0 \tabularnewline
12 & 0.806687 & 17.2072 & 0 \tabularnewline
13 & 0.775612 & 16.5444 & 0 \tabularnewline
14 & 0.766075 & 16.3409 & 0 \tabularnewline
15 & 0.747526 & 15.9453 & 0 \tabularnewline
16 & 0.736617 & 15.7126 & 0 \tabularnewline
17 & 0.729052 & 15.5512 & 0 \tabularnewline
18 & 0.705192 & 15.0423 & 0 \tabularnewline
19 & 0.703859 & 15.0138 & 0 \tabularnewline
20 & 0.69319 & 14.7863 & 0 \tabularnewline
21 & 0.690408 & 14.7269 & 0 \tabularnewline
22 & 0.687668 & 14.6685 & 0 \tabularnewline
23 & 0.663243 & 14.1475 & 0 \tabularnewline
24 & 0.681153 & 14.5295 & 0 \tabularnewline
25 & 0.655697 & 13.9865 & 0 \tabularnewline
26 & 0.651125 & 13.889 & 0 \tabularnewline
27 & 0.641385 & 13.6812 & 0 \tabularnewline
28 & 0.636778 & 13.5829 & 0 \tabularnewline
29 & 0.627188 & 13.3784 & 0 \tabularnewline
30 & 0.609135 & 12.9933 & 0 \tabularnewline
31 & 0.601944 & 12.8399 & 0 \tabularnewline
32 & 0.589227 & 12.5686 & 0 \tabularnewline
33 & 0.588822 & 12.56 & 0 \tabularnewline
34 & 0.591397 & 12.6149 & 0 \tabularnewline
35 & 0.572411 & 12.2099 & 0 \tabularnewline
36 & 0.585825 & 12.4961 & 0 \tabularnewline
37 & 0.560129 & 11.948 & 0 \tabularnewline
38 & 0.570754 & 12.1746 & 0 \tabularnewline
39 & 0.558996 & 11.9238 & 0 \tabularnewline
40 & 0.541999 & 11.5612 & 0 \tabularnewline
41 & 0.536219 & 11.4379 & 0 \tabularnewline
42 & 0.519921 & 11.0903 & 0 \tabularnewline
43 & 0.519031 & 11.0713 & 0 \tabularnewline
44 & 0.502142 & 10.7111 & 0 \tabularnewline
45 & 0.501021 & 10.6871 & 0 \tabularnewline
46 & 0.505855 & 10.7903 & 0 \tabularnewline
47 & 0.490442 & 10.4615 & 0 \tabularnewline
48 & 0.508292 & 10.8422 & 0 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=40189&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]0.918748[/C][C]19.5976[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.890754[/C][C]19.0004[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.871031[/C][C]18.5797[/C][C]0[/C][/ROW]
[ROW][C]4[/C][C]0.850645[/C][C]18.1449[/C][C]0[/C][/ROW]
[ROW][C]5[/C][C]0.834521[/C][C]17.8009[/C][C]0[/C][/ROW]
[ROW][C]6[/C][C]0.809257[/C][C]17.262[/C][C]0[/C][/ROW]
[ROW][C]7[/C][C]0.809817[/C][C]17.274[/C][C]0[/C][/ROW]
[ROW][C]8[/C][C]0.796822[/C][C]16.9968[/C][C]0[/C][/ROW]
[ROW][C]9[/C][C]0.795434[/C][C]16.9672[/C][C]0[/C][/ROW]
[ROW][C]10[/C][C]0.800765[/C][C]17.0809[/C][C]0[/C][/ROW]
[ROW][C]11[/C][C]0.787942[/C][C]16.8074[/C][C]0[/C][/ROW]
[ROW][C]12[/C][C]0.806687[/C][C]17.2072[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]0.775612[/C][C]16.5444[/C][C]0[/C][/ROW]
[ROW][C]14[/C][C]0.766075[/C][C]16.3409[/C][C]0[/C][/ROW]
[ROW][C]15[/C][C]0.747526[/C][C]15.9453[/C][C]0[/C][/ROW]
[ROW][C]16[/C][C]0.736617[/C][C]15.7126[/C][C]0[/C][/ROW]
[ROW][C]17[/C][C]0.729052[/C][C]15.5512[/C][C]0[/C][/ROW]
[ROW][C]18[/C][C]0.705192[/C][C]15.0423[/C][C]0[/C][/ROW]
[ROW][C]19[/C][C]0.703859[/C][C]15.0138[/C][C]0[/C][/ROW]
[ROW][C]20[/C][C]0.69319[/C][C]14.7863[/C][C]0[/C][/ROW]
[ROW][C]21[/C][C]0.690408[/C][C]14.7269[/C][C]0[/C][/ROW]
[ROW][C]22[/C][C]0.687668[/C][C]14.6685[/C][C]0[/C][/ROW]
[ROW][C]23[/C][C]0.663243[/C][C]14.1475[/C][C]0[/C][/ROW]
[ROW][C]24[/C][C]0.681153[/C][C]14.5295[/C][C]0[/C][/ROW]
[ROW][C]25[/C][C]0.655697[/C][C]13.9865[/C][C]0[/C][/ROW]
[ROW][C]26[/C][C]0.651125[/C][C]13.889[/C][C]0[/C][/ROW]
[ROW][C]27[/C][C]0.641385[/C][C]13.6812[/C][C]0[/C][/ROW]
[ROW][C]28[/C][C]0.636778[/C][C]13.5829[/C][C]0[/C][/ROW]
[ROW][C]29[/C][C]0.627188[/C][C]13.3784[/C][C]0[/C][/ROW]
[ROW][C]30[/C][C]0.609135[/C][C]12.9933[/C][C]0[/C][/ROW]
[ROW][C]31[/C][C]0.601944[/C][C]12.8399[/C][C]0[/C][/ROW]
[ROW][C]32[/C][C]0.589227[/C][C]12.5686[/C][C]0[/C][/ROW]
[ROW][C]33[/C][C]0.588822[/C][C]12.56[/C][C]0[/C][/ROW]
[ROW][C]34[/C][C]0.591397[/C][C]12.6149[/C][C]0[/C][/ROW]
[ROW][C]35[/C][C]0.572411[/C][C]12.2099[/C][C]0[/C][/ROW]
[ROW][C]36[/C][C]0.585825[/C][C]12.4961[/C][C]0[/C][/ROW]
[ROW][C]37[/C][C]0.560129[/C][C]11.948[/C][C]0[/C][/ROW]
[ROW][C]38[/C][C]0.570754[/C][C]12.1746[/C][C]0[/C][/ROW]
[ROW][C]39[/C][C]0.558996[/C][C]11.9238[/C][C]0[/C][/ROW]
[ROW][C]40[/C][C]0.541999[/C][C]11.5612[/C][C]0[/C][/ROW]
[ROW][C]41[/C][C]0.536219[/C][C]11.4379[/C][C]0[/C][/ROW]
[ROW][C]42[/C][C]0.519921[/C][C]11.0903[/C][C]0[/C][/ROW]
[ROW][C]43[/C][C]0.519031[/C][C]11.0713[/C][C]0[/C][/ROW]
[ROW][C]44[/C][C]0.502142[/C][C]10.7111[/C][C]0[/C][/ROW]
[ROW][C]45[/C][C]0.501021[/C][C]10.6871[/C][C]0[/C][/ROW]
[ROW][C]46[/C][C]0.505855[/C][C]10.7903[/C][C]0[/C][/ROW]
[ROW][C]47[/C][C]0.490442[/C][C]10.4615[/C][C]0[/C][/ROW]
[ROW][C]48[/C][C]0.508292[/C][C]10.8422[/C][C]0[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=40189&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=40189&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
10.91874819.59760
20.89075419.00040
30.87103118.57970
40.85064518.14490
50.83452117.80090
60.80925717.2620
70.80981717.2740
80.79682216.99680
90.79543416.96720
100.80076517.08090
110.78794216.80740
120.80668717.20720
130.77561216.54440
140.76607516.34090
150.74752615.94530
160.73661715.71260
170.72905215.55120
180.70519215.04230
190.70385915.01380
200.6931914.78630
210.69040814.72690
220.68766814.66850
230.66324314.14750
240.68115314.52950
250.65569713.98650
260.65112513.8890
270.64138513.68120
280.63677813.58290
290.62718813.37840
300.60913512.99330
310.60194412.83990
320.58922712.56860
330.58882212.560
340.59139712.61490
350.57241112.20990
360.58582512.49610
370.56012911.9480
380.57075412.17460
390.55899611.92380
400.54199911.56120
410.53621911.43790
420.51992111.09030
430.51903111.07130
440.50214210.71110
450.50102110.68710
460.50585510.79030
470.49044210.46150
480.50829210.84220







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.91874819.59760
20.2992666.38360
30.1593313.39860.000368
40.0710091.51470.065276
50.0613681.3090.095594
6-0.031139-0.66420.253442
70.1521153.24470.000631
80.0226260.48260.314795
90.0999232.13140.016794
100.1216622.59510.00488
11-0.028053-0.59840.274935
120.1947964.15511.9e-05
13-0.194711-4.15332e-05
14-0.002677-0.05710.477244
15-0.076031-1.62180.052771
160.0343550.73280.232023
170.004830.1030.458994
18-0.041947-0.89480.185691
190.0228610.48760.313021
200.0038250.08160.467501
210.0329240.70230.24143
22-0.012029-0.25660.39881
23-0.094465-2.0150.022246
240.1414183.01650.00135
25-0.097764-2.08540.018796
260.0347590.74140.229404
270.0110460.23560.406921
280.0427110.91110.181372
29-0.060792-1.29670.097688
300.0094130.20080.420478
31-0.07026-1.49870.067324
320.0093990.20050.420597
330.0627641.33880.090652
340.0368690.78640.216011
35-0.011013-0.23490.407193
360.0618611.31950.093825
37-0.126222-2.69240.003678
380.132142.81860.002517
39-0.059922-1.27820.100918
40-0.079541-1.69670.045221
410.007280.15530.438331
420.001790.03820.484776
430.024940.5320.297494
44-0.028751-0.61330.269998
450.0326840.69720.243026
460.0104210.22230.412095
470.0263820.56270.286946
480.0586291.25060.105863

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.918748 & 19.5976 & 0 \tabularnewline
2 & 0.299266 & 6.3836 & 0 \tabularnewline
3 & 0.159331 & 3.3986 & 0.000368 \tabularnewline
4 & 0.071009 & 1.5147 & 0.065276 \tabularnewline
5 & 0.061368 & 1.309 & 0.095594 \tabularnewline
6 & -0.031139 & -0.6642 & 0.253442 \tabularnewline
7 & 0.152115 & 3.2447 & 0.000631 \tabularnewline
8 & 0.022626 & 0.4826 & 0.314795 \tabularnewline
9 & 0.099923 & 2.1314 & 0.016794 \tabularnewline
10 & 0.121662 & 2.5951 & 0.00488 \tabularnewline
11 & -0.028053 & -0.5984 & 0.274935 \tabularnewline
12 & 0.194796 & 4.1551 & 1.9e-05 \tabularnewline
13 & -0.194711 & -4.1533 & 2e-05 \tabularnewline
14 & -0.002677 & -0.0571 & 0.477244 \tabularnewline
15 & -0.076031 & -1.6218 & 0.052771 \tabularnewline
16 & 0.034355 & 0.7328 & 0.232023 \tabularnewline
17 & 0.00483 & 0.103 & 0.458994 \tabularnewline
18 & -0.041947 & -0.8948 & 0.185691 \tabularnewline
19 & 0.022861 & 0.4876 & 0.313021 \tabularnewline
20 & 0.003825 & 0.0816 & 0.467501 \tabularnewline
21 & 0.032924 & 0.7023 & 0.24143 \tabularnewline
22 & -0.012029 & -0.2566 & 0.39881 \tabularnewline
23 & -0.094465 & -2.015 & 0.022246 \tabularnewline
24 & 0.141418 & 3.0165 & 0.00135 \tabularnewline
25 & -0.097764 & -2.0854 & 0.018796 \tabularnewline
26 & 0.034759 & 0.7414 & 0.229404 \tabularnewline
27 & 0.011046 & 0.2356 & 0.406921 \tabularnewline
28 & 0.042711 & 0.9111 & 0.181372 \tabularnewline
29 & -0.060792 & -1.2967 & 0.097688 \tabularnewline
30 & 0.009413 & 0.2008 & 0.420478 \tabularnewline
31 & -0.07026 & -1.4987 & 0.067324 \tabularnewline
32 & 0.009399 & 0.2005 & 0.420597 \tabularnewline
33 & 0.062764 & 1.3388 & 0.090652 \tabularnewline
34 & 0.036869 & 0.7864 & 0.216011 \tabularnewline
35 & -0.011013 & -0.2349 & 0.407193 \tabularnewline
36 & 0.061861 & 1.3195 & 0.093825 \tabularnewline
37 & -0.126222 & -2.6924 & 0.003678 \tabularnewline
38 & 0.13214 & 2.8186 & 0.002517 \tabularnewline
39 & -0.059922 & -1.2782 & 0.100918 \tabularnewline
40 & -0.079541 & -1.6967 & 0.045221 \tabularnewline
41 & 0.00728 & 0.1553 & 0.438331 \tabularnewline
42 & 0.00179 & 0.0382 & 0.484776 \tabularnewline
43 & 0.02494 & 0.532 & 0.297494 \tabularnewline
44 & -0.028751 & -0.6133 & 0.269998 \tabularnewline
45 & 0.032684 & 0.6972 & 0.243026 \tabularnewline
46 & 0.010421 & 0.2223 & 0.412095 \tabularnewline
47 & 0.026382 & 0.5627 & 0.286946 \tabularnewline
48 & 0.058629 & 1.2506 & 0.105863 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=40189&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]0.918748[/C][C]19.5976[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.299266[/C][C]6.3836[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.159331[/C][C]3.3986[/C][C]0.000368[/C][/ROW]
[ROW][C]4[/C][C]0.071009[/C][C]1.5147[/C][C]0.065276[/C][/ROW]
[ROW][C]5[/C][C]0.061368[/C][C]1.309[/C][C]0.095594[/C][/ROW]
[ROW][C]6[/C][C]-0.031139[/C][C]-0.6642[/C][C]0.253442[/C][/ROW]
[ROW][C]7[/C][C]0.152115[/C][C]3.2447[/C][C]0.000631[/C][/ROW]
[ROW][C]8[/C][C]0.022626[/C][C]0.4826[/C][C]0.314795[/C][/ROW]
[ROW][C]9[/C][C]0.099923[/C][C]2.1314[/C][C]0.016794[/C][/ROW]
[ROW][C]10[/C][C]0.121662[/C][C]2.5951[/C][C]0.00488[/C][/ROW]
[ROW][C]11[/C][C]-0.028053[/C][C]-0.5984[/C][C]0.274935[/C][/ROW]
[ROW][C]12[/C][C]0.194796[/C][C]4.1551[/C][C]1.9e-05[/C][/ROW]
[ROW][C]13[/C][C]-0.194711[/C][C]-4.1533[/C][C]2e-05[/C][/ROW]
[ROW][C]14[/C][C]-0.002677[/C][C]-0.0571[/C][C]0.477244[/C][/ROW]
[ROW][C]15[/C][C]-0.076031[/C][C]-1.6218[/C][C]0.052771[/C][/ROW]
[ROW][C]16[/C][C]0.034355[/C][C]0.7328[/C][C]0.232023[/C][/ROW]
[ROW][C]17[/C][C]0.00483[/C][C]0.103[/C][C]0.458994[/C][/ROW]
[ROW][C]18[/C][C]-0.041947[/C][C]-0.8948[/C][C]0.185691[/C][/ROW]
[ROW][C]19[/C][C]0.022861[/C][C]0.4876[/C][C]0.313021[/C][/ROW]
[ROW][C]20[/C][C]0.003825[/C][C]0.0816[/C][C]0.467501[/C][/ROW]
[ROW][C]21[/C][C]0.032924[/C][C]0.7023[/C][C]0.24143[/C][/ROW]
[ROW][C]22[/C][C]-0.012029[/C][C]-0.2566[/C][C]0.39881[/C][/ROW]
[ROW][C]23[/C][C]-0.094465[/C][C]-2.015[/C][C]0.022246[/C][/ROW]
[ROW][C]24[/C][C]0.141418[/C][C]3.0165[/C][C]0.00135[/C][/ROW]
[ROW][C]25[/C][C]-0.097764[/C][C]-2.0854[/C][C]0.018796[/C][/ROW]
[ROW][C]26[/C][C]0.034759[/C][C]0.7414[/C][C]0.229404[/C][/ROW]
[ROW][C]27[/C][C]0.011046[/C][C]0.2356[/C][C]0.406921[/C][/ROW]
[ROW][C]28[/C][C]0.042711[/C][C]0.9111[/C][C]0.181372[/C][/ROW]
[ROW][C]29[/C][C]-0.060792[/C][C]-1.2967[/C][C]0.097688[/C][/ROW]
[ROW][C]30[/C][C]0.009413[/C][C]0.2008[/C][C]0.420478[/C][/ROW]
[ROW][C]31[/C][C]-0.07026[/C][C]-1.4987[/C][C]0.067324[/C][/ROW]
[ROW][C]32[/C][C]0.009399[/C][C]0.2005[/C][C]0.420597[/C][/ROW]
[ROW][C]33[/C][C]0.062764[/C][C]1.3388[/C][C]0.090652[/C][/ROW]
[ROW][C]34[/C][C]0.036869[/C][C]0.7864[/C][C]0.216011[/C][/ROW]
[ROW][C]35[/C][C]-0.011013[/C][C]-0.2349[/C][C]0.407193[/C][/ROW]
[ROW][C]36[/C][C]0.061861[/C][C]1.3195[/C][C]0.093825[/C][/ROW]
[ROW][C]37[/C][C]-0.126222[/C][C]-2.6924[/C][C]0.003678[/C][/ROW]
[ROW][C]38[/C][C]0.13214[/C][C]2.8186[/C][C]0.002517[/C][/ROW]
[ROW][C]39[/C][C]-0.059922[/C][C]-1.2782[/C][C]0.100918[/C][/ROW]
[ROW][C]40[/C][C]-0.079541[/C][C]-1.6967[/C][C]0.045221[/C][/ROW]
[ROW][C]41[/C][C]0.00728[/C][C]0.1553[/C][C]0.438331[/C][/ROW]
[ROW][C]42[/C][C]0.00179[/C][C]0.0382[/C][C]0.484776[/C][/ROW]
[ROW][C]43[/C][C]0.02494[/C][C]0.532[/C][C]0.297494[/C][/ROW]
[ROW][C]44[/C][C]-0.028751[/C][C]-0.6133[/C][C]0.269998[/C][/ROW]
[ROW][C]45[/C][C]0.032684[/C][C]0.6972[/C][C]0.243026[/C][/ROW]
[ROW][C]46[/C][C]0.010421[/C][C]0.2223[/C][C]0.412095[/C][/ROW]
[ROW][C]47[/C][C]0.026382[/C][C]0.5627[/C][C]0.286946[/C][/ROW]
[ROW][C]48[/C][C]0.058629[/C][C]1.2506[/C][C]0.105863[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=40189&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=40189&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
10.91874819.59760
20.2992666.38360
30.1593313.39860.000368
40.0710091.51470.065276
50.0613681.3090.095594
6-0.031139-0.66420.253442
70.1521153.24470.000631
80.0226260.48260.314795
90.0999232.13140.016794
100.1216622.59510.00488
11-0.028053-0.59840.274935
120.1947964.15511.9e-05
13-0.194711-4.15332e-05
14-0.002677-0.05710.477244
15-0.076031-1.62180.052771
160.0343550.73280.232023
170.004830.1030.458994
18-0.041947-0.89480.185691
190.0228610.48760.313021
200.0038250.08160.467501
210.0329240.70230.24143
22-0.012029-0.25660.39881
23-0.094465-2.0150.022246
240.1414183.01650.00135
25-0.097764-2.08540.018796
260.0347590.74140.229404
270.0110460.23560.406921
280.0427110.91110.181372
29-0.060792-1.29670.097688
300.0094130.20080.420478
31-0.07026-1.49870.067324
320.0093990.20050.420597
330.0627641.33880.090652
340.0368690.78640.216011
35-0.011013-0.23490.407193
360.0618611.31950.093825
37-0.126222-2.69240.003678
380.132142.81860.002517
39-0.059922-1.27820.100918
40-0.079541-1.69670.045221
410.007280.15530.438331
420.001790.03820.484776
430.024940.5320.297494
44-0.028751-0.61330.269998
450.0326840.69720.243026
460.0104210.22230.412095
470.0263820.56270.286946
480.0586291.25060.105863



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