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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, 28 Nov 2012 08:46:23 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/Nov/28/t1354110394s2bqd1i2l2f1hkf.htm/, Retrieved Thu, 28 Mar 2024 22:55:09 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=194139, Retrieved Thu, 28 Mar 2024 22:55:09 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact128
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [] [2008-12-08 19:22:39] [d2d412c7f4d35ffbf5ee5ee89db327d4]
- RMP   [(Partial) Autocorrelation Function] [] [2011-12-06 19:49:59] [b98453cac15ba1066b407e146608df68]
- R PD      [(Partial) Autocorrelation Function] [] [2012-11-28 13:46:23] [c52127b355a401c4b5ab4a80e41e35a5] [Current]
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Dataseries X:
235.1
280.7
264.6
240.7
201.4
240.8
241.1
223.8
206.1
174.7
203.3
220.5
299.5
347.4
338.3
327.7
351.6
396.6
438.8
395.6
363.5
378.8
357
369
464.8
479.1
431.3
366.5
326.3
355.1
331.6
261.3
249
205.5
235.6
240.9
264.9
253.8
232.3
193.8
177
213.2
207.2
180.6
188.6
175.4
199
179.6
225.8
234
200.2
183.6
178.2
203.2
208.5
191.8
172.8
148
159.4
154.5
213.2
196.4
182.8
176.4
153.6
173.2
171
151.2
161.9
157.2
201.7
236.4
356.1
398.3
403.7
384.6
365.8
368.1
367.9
347
343.3
292.9
311.5
300.9
366.9
356.9
329.7
316.2
269
289.3
266.2
253.6
233.8
228.4
253.6
260.1
306.6
309.2
309.5
271
279.9
317.9
298.4
246.7
227.3
209.1
259.9
266
320.6
308.5
282.2
262.7
263.5
313.1
284.3
252.6
250.3
246.5
312.7
333.2
446.4
511.6
515.5
506.4
483.2
522.3
509.8
460.7
405.8
375
378.5
406.8
467.8
469.8
429.8
355.8
332.7
378
360.5
334.7
319.5
323.1
363.6
352.1
411.9
388.6
416.4
360.7
338
417.2
388.4
371.1
331.5
353.7
396.7
447
533.5
565.4
542.3
488.7
467.1
531.3
496.1
444
403.4
386.3
394.1
404.1
462.1
448.1
432.3
386.3
395.2
421.9
382.9
384.2
345.5
323.4
372.6
376
462.7
487
444.2
399.3
394.9
455.4
414
375.5
347
339.4
385.8
378.8
451.8
446.1
422.5
383.1
352.8
445.3
367.5
355.1
326.2
319.8
331.8
340.9
394.1
417.2
369.9
349.2
321.4
405.7
342.9
316.5
284.2
270.9
288.8
278.8
324.4
310.9
299
273
279.3
359.2
305
282.1
250.3
246.5
257.9
266.5
315.9
318.4
295.4
266.4
245.8
362.8
324.9
294.2
289.5
295.2
290.3
272
307.4
328.7
292.9
249.1
230.4
361.5
321.7
277.2
260.7
251
257.6
241.8
287.5
292.3
274.7
254.2
230
339
318.2
287
295.8
284
271
262.7
340.6
379.4
373.3
355.2
338.4
466.9
451
422
429.2
425.9
460.7
463.6
541.4
544.2
517.5
469.4
439.4
549
533
506.1
484
457
481.5
469.5
544.7
541.2
521.5
469.7
434.4
542.6
517.3
485.7
465.8
447
426.6
411.6
467.5
484.5
451.2
417.4
379.9
484.7
455
420.8
416.5
376.3
405.6
405.8
500.8
514
475.5
430.1
414.4
538
526
488.5
520.2
504.4
568.5
610.6
818
830.9
835.9
782
762.3
856.9
820.9
769.6
752.2
724.4
723.1
719.5
817.4
803.3
752.5
689
630.4
765.5
757.7
732.2
702.6
683.3
709.5
702.2
784.8
810.9
755.6
656.8
615.1
745.3
694.1
675.7
643.7
622.1
634.6
588
689.7
673.9
647.9
568.8
545.7
632.6
643.8
593.1
579.7
546
562.9
572.5




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Sir Maurice George Kendall' @ kendall.wessa.net

\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 & 3 seconds \tabularnewline
R Server & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=194139&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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=194139&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=194139&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 time3 seconds
R Server'Sir Maurice George Kendall' @ kendall.wessa.net







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.0304980.58740.278638
2-0.14613-2.81470.002572
3-0.254888-4.90951e-06
4-0.077666-1.4960.067757
50.268315.1680
6-0.116454-2.24310.012741
70.2371514.56783e-06
8-0.108755-2.09480.018435
9-0.269739-5.19550
10-0.201482-3.88086.2e-05
11-0.001451-0.02790.488861
120.75985914.63590
13-0.020891-0.40240.343817
14-0.2105-4.05453.1e-05
15-0.28356-5.46170
16-0.123045-2.370.009149
170.2269324.3718e-06
18-0.139932-2.69530.003676
190.2339594.50644e-06
20-0.117883-2.27060.011872
21-0.243879-4.69742e-06
22-0.183068-3.52610.000237
23-0.012166-0.23430.407425
240.72082413.88410
25-0.007937-0.15290.439292
26-0.189763-3.65510.000147
27-0.262816-5.06220
28-0.10125-1.95020.025952
290.2305834.44146e-06
30-0.128737-2.47960.006797
310.2150154.14152.1e-05
32-0.117502-2.26330.012099
33-0.222654-4.28861.1e-05
34-0.160545-3.09230.001068
35-0.028872-0.55610.289234
360.68874313.26610
37-0.020199-0.38910.348729
38-0.154053-2.96730.0016
39-0.240786-4.63792e-06
40-0.093956-1.80970.035574
410.1935263.72760.000112
42-0.120383-2.31870.010476
430.1937123.73120.00011
44-0.105681-2.03560.021253
45-0.226142-4.35589e-06
46-0.154918-2.98390.001517
47-0.00787-0.15160.439795
480.66494512.80770
490.0143130.27570.391472
50-0.133233-2.56620.005336
51-0.20069-3.86566.5e-05
52-0.073584-1.41730.078614
530.2052593.95364.6e-05
54-0.10611-2.04380.020839
550.2298174.42666e-06
56-0.08751-1.68560.046361
57-0.194829-3.75270.000101
58-0.139948-2.69560.003673
590.0047020.09060.463939
600.60720711.69560

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.030498 & 0.5874 & 0.278638 \tabularnewline
2 & -0.14613 & -2.8147 & 0.002572 \tabularnewline
3 & -0.254888 & -4.9095 & 1e-06 \tabularnewline
4 & -0.077666 & -1.496 & 0.067757 \tabularnewline
5 & 0.26831 & 5.168 & 0 \tabularnewline
6 & -0.116454 & -2.2431 & 0.012741 \tabularnewline
7 & 0.237151 & 4.5678 & 3e-06 \tabularnewline
8 & -0.108755 & -2.0948 & 0.018435 \tabularnewline
9 & -0.269739 & -5.1955 & 0 \tabularnewline
10 & -0.201482 & -3.8808 & 6.2e-05 \tabularnewline
11 & -0.001451 & -0.0279 & 0.488861 \tabularnewline
12 & 0.759859 & 14.6359 & 0 \tabularnewline
13 & -0.020891 & -0.4024 & 0.343817 \tabularnewline
14 & -0.2105 & -4.0545 & 3.1e-05 \tabularnewline
15 & -0.28356 & -5.4617 & 0 \tabularnewline
16 & -0.123045 & -2.37 & 0.009149 \tabularnewline
17 & 0.226932 & 4.371 & 8e-06 \tabularnewline
18 & -0.139932 & -2.6953 & 0.003676 \tabularnewline
19 & 0.233959 & 4.5064 & 4e-06 \tabularnewline
20 & -0.117883 & -2.2706 & 0.011872 \tabularnewline
21 & -0.243879 & -4.6974 & 2e-06 \tabularnewline
22 & -0.183068 & -3.5261 & 0.000237 \tabularnewline
23 & -0.012166 & -0.2343 & 0.407425 \tabularnewline
24 & 0.720824 & 13.8841 & 0 \tabularnewline
25 & -0.007937 & -0.1529 & 0.439292 \tabularnewline
26 & -0.189763 & -3.6551 & 0.000147 \tabularnewline
27 & -0.262816 & -5.0622 & 0 \tabularnewline
28 & -0.10125 & -1.9502 & 0.025952 \tabularnewline
29 & 0.230583 & 4.4414 & 6e-06 \tabularnewline
30 & -0.128737 & -2.4796 & 0.006797 \tabularnewline
31 & 0.215015 & 4.1415 & 2.1e-05 \tabularnewline
32 & -0.117502 & -2.2633 & 0.012099 \tabularnewline
33 & -0.222654 & -4.2886 & 1.1e-05 \tabularnewline
34 & -0.160545 & -3.0923 & 0.001068 \tabularnewline
35 & -0.028872 & -0.5561 & 0.289234 \tabularnewline
36 & 0.688743 & 13.2661 & 0 \tabularnewline
37 & -0.020199 & -0.3891 & 0.348729 \tabularnewline
38 & -0.154053 & -2.9673 & 0.0016 \tabularnewline
39 & -0.240786 & -4.6379 & 2e-06 \tabularnewline
40 & -0.093956 & -1.8097 & 0.035574 \tabularnewline
41 & 0.193526 & 3.7276 & 0.000112 \tabularnewline
42 & -0.120383 & -2.3187 & 0.010476 \tabularnewline
43 & 0.193712 & 3.7312 & 0.00011 \tabularnewline
44 & -0.105681 & -2.0356 & 0.021253 \tabularnewline
45 & -0.226142 & -4.3558 & 9e-06 \tabularnewline
46 & -0.154918 & -2.9839 & 0.001517 \tabularnewline
47 & -0.00787 & -0.1516 & 0.439795 \tabularnewline
48 & 0.664945 & 12.8077 & 0 \tabularnewline
49 & 0.014313 & 0.2757 & 0.391472 \tabularnewline
50 & -0.133233 & -2.5662 & 0.005336 \tabularnewline
51 & -0.20069 & -3.8656 & 6.5e-05 \tabularnewline
52 & -0.073584 & -1.4173 & 0.078614 \tabularnewline
53 & 0.205259 & 3.9536 & 4.6e-05 \tabularnewline
54 & -0.10611 & -2.0438 & 0.020839 \tabularnewline
55 & 0.229817 & 4.4266 & 6e-06 \tabularnewline
56 & -0.08751 & -1.6856 & 0.046361 \tabularnewline
57 & -0.194829 & -3.7527 & 0.000101 \tabularnewline
58 & -0.139948 & -2.6956 & 0.003673 \tabularnewline
59 & 0.004702 & 0.0906 & 0.463939 \tabularnewline
60 & 0.607207 & 11.6956 & 0 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=194139&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]0.030498[/C][C]0.5874[/C][C]0.278638[/C][/ROW]
[ROW][C]2[/C][C]-0.14613[/C][C]-2.8147[/C][C]0.002572[/C][/ROW]
[ROW][C]3[/C][C]-0.254888[/C][C]-4.9095[/C][C]1e-06[/C][/ROW]
[ROW][C]4[/C][C]-0.077666[/C][C]-1.496[/C][C]0.067757[/C][/ROW]
[ROW][C]5[/C][C]0.26831[/C][C]5.168[/C][C]0[/C][/ROW]
[ROW][C]6[/C][C]-0.116454[/C][C]-2.2431[/C][C]0.012741[/C][/ROW]
[ROW][C]7[/C][C]0.237151[/C][C]4.5678[/C][C]3e-06[/C][/ROW]
[ROW][C]8[/C][C]-0.108755[/C][C]-2.0948[/C][C]0.018435[/C][/ROW]
[ROW][C]9[/C][C]-0.269739[/C][C]-5.1955[/C][C]0[/C][/ROW]
[ROW][C]10[/C][C]-0.201482[/C][C]-3.8808[/C][C]6.2e-05[/C][/ROW]
[ROW][C]11[/C][C]-0.001451[/C][C]-0.0279[/C][C]0.488861[/C][/ROW]
[ROW][C]12[/C][C]0.759859[/C][C]14.6359[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]-0.020891[/C][C]-0.4024[/C][C]0.343817[/C][/ROW]
[ROW][C]14[/C][C]-0.2105[/C][C]-4.0545[/C][C]3.1e-05[/C][/ROW]
[ROW][C]15[/C][C]-0.28356[/C][C]-5.4617[/C][C]0[/C][/ROW]
[ROW][C]16[/C][C]-0.123045[/C][C]-2.37[/C][C]0.009149[/C][/ROW]
[ROW][C]17[/C][C]0.226932[/C][C]4.371[/C][C]8e-06[/C][/ROW]
[ROW][C]18[/C][C]-0.139932[/C][C]-2.6953[/C][C]0.003676[/C][/ROW]
[ROW][C]19[/C][C]0.233959[/C][C]4.5064[/C][C]4e-06[/C][/ROW]
[ROW][C]20[/C][C]-0.117883[/C][C]-2.2706[/C][C]0.011872[/C][/ROW]
[ROW][C]21[/C][C]-0.243879[/C][C]-4.6974[/C][C]2e-06[/C][/ROW]
[ROW][C]22[/C][C]-0.183068[/C][C]-3.5261[/C][C]0.000237[/C][/ROW]
[ROW][C]23[/C][C]-0.012166[/C][C]-0.2343[/C][C]0.407425[/C][/ROW]
[ROW][C]24[/C][C]0.720824[/C][C]13.8841[/C][C]0[/C][/ROW]
[ROW][C]25[/C][C]-0.007937[/C][C]-0.1529[/C][C]0.439292[/C][/ROW]
[ROW][C]26[/C][C]-0.189763[/C][C]-3.6551[/C][C]0.000147[/C][/ROW]
[ROW][C]27[/C][C]-0.262816[/C][C]-5.0622[/C][C]0[/C][/ROW]
[ROW][C]28[/C][C]-0.10125[/C][C]-1.9502[/C][C]0.025952[/C][/ROW]
[ROW][C]29[/C][C]0.230583[/C][C]4.4414[/C][C]6e-06[/C][/ROW]
[ROW][C]30[/C][C]-0.128737[/C][C]-2.4796[/C][C]0.006797[/C][/ROW]
[ROW][C]31[/C][C]0.215015[/C][C]4.1415[/C][C]2.1e-05[/C][/ROW]
[ROW][C]32[/C][C]-0.117502[/C][C]-2.2633[/C][C]0.012099[/C][/ROW]
[ROW][C]33[/C][C]-0.222654[/C][C]-4.2886[/C][C]1.1e-05[/C][/ROW]
[ROW][C]34[/C][C]-0.160545[/C][C]-3.0923[/C][C]0.001068[/C][/ROW]
[ROW][C]35[/C][C]-0.028872[/C][C]-0.5561[/C][C]0.289234[/C][/ROW]
[ROW][C]36[/C][C]0.688743[/C][C]13.2661[/C][C]0[/C][/ROW]
[ROW][C]37[/C][C]-0.020199[/C][C]-0.3891[/C][C]0.348729[/C][/ROW]
[ROW][C]38[/C][C]-0.154053[/C][C]-2.9673[/C][C]0.0016[/C][/ROW]
[ROW][C]39[/C][C]-0.240786[/C][C]-4.6379[/C][C]2e-06[/C][/ROW]
[ROW][C]40[/C][C]-0.093956[/C][C]-1.8097[/C][C]0.035574[/C][/ROW]
[ROW][C]41[/C][C]0.193526[/C][C]3.7276[/C][C]0.000112[/C][/ROW]
[ROW][C]42[/C][C]-0.120383[/C][C]-2.3187[/C][C]0.010476[/C][/ROW]
[ROW][C]43[/C][C]0.193712[/C][C]3.7312[/C][C]0.00011[/C][/ROW]
[ROW][C]44[/C][C]-0.105681[/C][C]-2.0356[/C][C]0.021253[/C][/ROW]
[ROW][C]45[/C][C]-0.226142[/C][C]-4.3558[/C][C]9e-06[/C][/ROW]
[ROW][C]46[/C][C]-0.154918[/C][C]-2.9839[/C][C]0.001517[/C][/ROW]
[ROW][C]47[/C][C]-0.00787[/C][C]-0.1516[/C][C]0.439795[/C][/ROW]
[ROW][C]48[/C][C]0.664945[/C][C]12.8077[/C][C]0[/C][/ROW]
[ROW][C]49[/C][C]0.014313[/C][C]0.2757[/C][C]0.391472[/C][/ROW]
[ROW][C]50[/C][C]-0.133233[/C][C]-2.5662[/C][C]0.005336[/C][/ROW]
[ROW][C]51[/C][C]-0.20069[/C][C]-3.8656[/C][C]6.5e-05[/C][/ROW]
[ROW][C]52[/C][C]-0.073584[/C][C]-1.4173[/C][C]0.078614[/C][/ROW]
[ROW][C]53[/C][C]0.205259[/C][C]3.9536[/C][C]4.6e-05[/C][/ROW]
[ROW][C]54[/C][C]-0.10611[/C][C]-2.0438[/C][C]0.020839[/C][/ROW]
[ROW][C]55[/C][C]0.229817[/C][C]4.4266[/C][C]6e-06[/C][/ROW]
[ROW][C]56[/C][C]-0.08751[/C][C]-1.6856[/C][C]0.046361[/C][/ROW]
[ROW][C]57[/C][C]-0.194829[/C][C]-3.7527[/C][C]0.000101[/C][/ROW]
[ROW][C]58[/C][C]-0.139948[/C][C]-2.6956[/C][C]0.003673[/C][/ROW]
[ROW][C]59[/C][C]0.004702[/C][C]0.0906[/C][C]0.463939[/C][/ROW]
[ROW][C]60[/C][C]0.607207[/C][C]11.6956[/C][C]0[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=194139&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=194139&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
10.0304980.58740.278638
2-0.14613-2.81470.002572
3-0.254888-4.90951e-06
4-0.077666-1.4960.067757
50.268315.1680
6-0.116454-2.24310.012741
70.2371514.56783e-06
8-0.108755-2.09480.018435
9-0.269739-5.19550
10-0.201482-3.88086.2e-05
11-0.001451-0.02790.488861
120.75985914.63590
13-0.020891-0.40240.343817
14-0.2105-4.05453.1e-05
15-0.28356-5.46170
16-0.123045-2.370.009149
170.2269324.3718e-06
18-0.139932-2.69530.003676
190.2339594.50644e-06
20-0.117883-2.27060.011872
21-0.243879-4.69742e-06
22-0.183068-3.52610.000237
23-0.012166-0.23430.407425
240.72082413.88410
25-0.007937-0.15290.439292
26-0.189763-3.65510.000147
27-0.262816-5.06220
28-0.10125-1.95020.025952
290.2305834.44146e-06
30-0.128737-2.47960.006797
310.2150154.14152.1e-05
32-0.117502-2.26330.012099
33-0.222654-4.28861.1e-05
34-0.160545-3.09230.001068
35-0.028872-0.55610.289234
360.68874313.26610
37-0.020199-0.38910.348729
38-0.154053-2.96730.0016
39-0.240786-4.63792e-06
40-0.093956-1.80970.035574
410.1935263.72760.000112
42-0.120383-2.31870.010476
430.1937123.73120.00011
44-0.105681-2.03560.021253
45-0.226142-4.35589e-06
46-0.154918-2.98390.001517
47-0.00787-0.15160.439795
480.66494512.80770
490.0143130.27570.391472
50-0.133233-2.56620.005336
51-0.20069-3.86566.5e-05
52-0.073584-1.41730.078614
530.2052593.95364.6e-05
54-0.10611-2.04380.020839
550.2298174.42666e-06
56-0.08751-1.68560.046361
57-0.194829-3.75270.000101
58-0.139948-2.69560.003673
590.0047020.09060.463939
600.60720711.69560







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.0304980.58740.278638
2-0.147197-2.83520.002415
3-0.250952-4.83371e-06
4-0.099073-1.90830.028564
50.2136714.11562.4e-05
6-0.229321-4.4177e-06
70.3194896.15380
8-0.108402-2.0880.018741
9-0.295783-5.69720
10-0.189546-3.65090.000149
110.0532721.02610.152758
120.63700212.26950
13-0.152635-2.940.001744
14-0.220834-4.25361.3e-05
15-0.061034-1.17560.120255
16-0.163243-3.14439e-04
17-0.089865-1.73090.042149
18-0.089665-1.72710.042494
190.084681.6310.051864
20-0.044248-0.85230.197305
210.003230.06220.475209
220.0206750.39820.345344
23-0.085334-1.64360.050548
240.2143484.12862.3e-05
25-0.011253-0.21670.414261
26-0.088796-1.71030.044021
27-0.01174-0.22610.410614
28-0.020782-0.40030.344585
29-0.058745-1.13150.129286
30-0.070939-1.36640.086325
31-0.04759-0.91660.179961
32-0.057698-1.11130.133569
33-0.008413-0.1620.435678
340.0414990.79930.212304
35-0.075142-1.44730.074325
360.1275092.4560.007253
37-0.042765-0.82370.205317
380.0267730.51570.303188
390.0180490.34760.364154
40-0.055476-1.06850.142985
41-0.161702-3.11460.000993
420.01510.29090.385663
43-0.075803-1.46010.072558
44-0.030211-0.58190.280491
45-0.071316-1.37360.08519
460.0077520.14930.440693
470.0461620.88920.187249
480.104692.01650.022236
490.0575291.10810.13427
50-0.001197-0.0230.490813
510.0439520.84660.198888
520.0147670.28440.388119
53-0.049461-0.95270.170683
54-0.005899-0.11360.454796
550.0618691.19170.117073
560.0032460.06250.475092
57-0.003959-0.07630.469629
580.0186370.3590.359906
590.0245760.47340.318116
60-0.052034-1.00220.158439

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.030498 & 0.5874 & 0.278638 \tabularnewline
2 & -0.147197 & -2.8352 & 0.002415 \tabularnewline
3 & -0.250952 & -4.8337 & 1e-06 \tabularnewline
4 & -0.099073 & -1.9083 & 0.028564 \tabularnewline
5 & 0.213671 & 4.1156 & 2.4e-05 \tabularnewline
6 & -0.229321 & -4.417 & 7e-06 \tabularnewline
7 & 0.319489 & 6.1538 & 0 \tabularnewline
8 & -0.108402 & -2.088 & 0.018741 \tabularnewline
9 & -0.295783 & -5.6972 & 0 \tabularnewline
10 & -0.189546 & -3.6509 & 0.000149 \tabularnewline
11 & 0.053272 & 1.0261 & 0.152758 \tabularnewline
12 & 0.637002 & 12.2695 & 0 \tabularnewline
13 & -0.152635 & -2.94 & 0.001744 \tabularnewline
14 & -0.220834 & -4.2536 & 1.3e-05 \tabularnewline
15 & -0.061034 & -1.1756 & 0.120255 \tabularnewline
16 & -0.163243 & -3.1443 & 9e-04 \tabularnewline
17 & -0.089865 & -1.7309 & 0.042149 \tabularnewline
18 & -0.089665 & -1.7271 & 0.042494 \tabularnewline
19 & 0.08468 & 1.631 & 0.051864 \tabularnewline
20 & -0.044248 & -0.8523 & 0.197305 \tabularnewline
21 & 0.00323 & 0.0622 & 0.475209 \tabularnewline
22 & 0.020675 & 0.3982 & 0.345344 \tabularnewline
23 & -0.085334 & -1.6436 & 0.050548 \tabularnewline
24 & 0.214348 & 4.1286 & 2.3e-05 \tabularnewline
25 & -0.011253 & -0.2167 & 0.414261 \tabularnewline
26 & -0.088796 & -1.7103 & 0.044021 \tabularnewline
27 & -0.01174 & -0.2261 & 0.410614 \tabularnewline
28 & -0.020782 & -0.4003 & 0.344585 \tabularnewline
29 & -0.058745 & -1.1315 & 0.129286 \tabularnewline
30 & -0.070939 & -1.3664 & 0.086325 \tabularnewline
31 & -0.04759 & -0.9166 & 0.179961 \tabularnewline
32 & -0.057698 & -1.1113 & 0.133569 \tabularnewline
33 & -0.008413 & -0.162 & 0.435678 \tabularnewline
34 & 0.041499 & 0.7993 & 0.212304 \tabularnewline
35 & -0.075142 & -1.4473 & 0.074325 \tabularnewline
36 & 0.127509 & 2.456 & 0.007253 \tabularnewline
37 & -0.042765 & -0.8237 & 0.205317 \tabularnewline
38 & 0.026773 & 0.5157 & 0.303188 \tabularnewline
39 & 0.018049 & 0.3476 & 0.364154 \tabularnewline
40 & -0.055476 & -1.0685 & 0.142985 \tabularnewline
41 & -0.161702 & -3.1146 & 0.000993 \tabularnewline
42 & 0.0151 & 0.2909 & 0.385663 \tabularnewline
43 & -0.075803 & -1.4601 & 0.072558 \tabularnewline
44 & -0.030211 & -0.5819 & 0.280491 \tabularnewline
45 & -0.071316 & -1.3736 & 0.08519 \tabularnewline
46 & 0.007752 & 0.1493 & 0.440693 \tabularnewline
47 & 0.046162 & 0.8892 & 0.187249 \tabularnewline
48 & 0.10469 & 2.0165 & 0.022236 \tabularnewline
49 & 0.057529 & 1.1081 & 0.13427 \tabularnewline
50 & -0.001197 & -0.023 & 0.490813 \tabularnewline
51 & 0.043952 & 0.8466 & 0.198888 \tabularnewline
52 & 0.014767 & 0.2844 & 0.388119 \tabularnewline
53 & -0.049461 & -0.9527 & 0.170683 \tabularnewline
54 & -0.005899 & -0.1136 & 0.454796 \tabularnewline
55 & 0.061869 & 1.1917 & 0.117073 \tabularnewline
56 & 0.003246 & 0.0625 & 0.475092 \tabularnewline
57 & -0.003959 & -0.0763 & 0.469629 \tabularnewline
58 & 0.018637 & 0.359 & 0.359906 \tabularnewline
59 & 0.024576 & 0.4734 & 0.318116 \tabularnewline
60 & -0.052034 & -1.0022 & 0.158439 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=194139&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]0.030498[/C][C]0.5874[/C][C]0.278638[/C][/ROW]
[ROW][C]2[/C][C]-0.147197[/C][C]-2.8352[/C][C]0.002415[/C][/ROW]
[ROW][C]3[/C][C]-0.250952[/C][C]-4.8337[/C][C]1e-06[/C][/ROW]
[ROW][C]4[/C][C]-0.099073[/C][C]-1.9083[/C][C]0.028564[/C][/ROW]
[ROW][C]5[/C][C]0.213671[/C][C]4.1156[/C][C]2.4e-05[/C][/ROW]
[ROW][C]6[/C][C]-0.229321[/C][C]-4.417[/C][C]7e-06[/C][/ROW]
[ROW][C]7[/C][C]0.319489[/C][C]6.1538[/C][C]0[/C][/ROW]
[ROW][C]8[/C][C]-0.108402[/C][C]-2.088[/C][C]0.018741[/C][/ROW]
[ROW][C]9[/C][C]-0.295783[/C][C]-5.6972[/C][C]0[/C][/ROW]
[ROW][C]10[/C][C]-0.189546[/C][C]-3.6509[/C][C]0.000149[/C][/ROW]
[ROW][C]11[/C][C]0.053272[/C][C]1.0261[/C][C]0.152758[/C][/ROW]
[ROW][C]12[/C][C]0.637002[/C][C]12.2695[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]-0.152635[/C][C]-2.94[/C][C]0.001744[/C][/ROW]
[ROW][C]14[/C][C]-0.220834[/C][C]-4.2536[/C][C]1.3e-05[/C][/ROW]
[ROW][C]15[/C][C]-0.061034[/C][C]-1.1756[/C][C]0.120255[/C][/ROW]
[ROW][C]16[/C][C]-0.163243[/C][C]-3.1443[/C][C]9e-04[/C][/ROW]
[ROW][C]17[/C][C]-0.089865[/C][C]-1.7309[/C][C]0.042149[/C][/ROW]
[ROW][C]18[/C][C]-0.089665[/C][C]-1.7271[/C][C]0.042494[/C][/ROW]
[ROW][C]19[/C][C]0.08468[/C][C]1.631[/C][C]0.051864[/C][/ROW]
[ROW][C]20[/C][C]-0.044248[/C][C]-0.8523[/C][C]0.197305[/C][/ROW]
[ROW][C]21[/C][C]0.00323[/C][C]0.0622[/C][C]0.475209[/C][/ROW]
[ROW][C]22[/C][C]0.020675[/C][C]0.3982[/C][C]0.345344[/C][/ROW]
[ROW][C]23[/C][C]-0.085334[/C][C]-1.6436[/C][C]0.050548[/C][/ROW]
[ROW][C]24[/C][C]0.214348[/C][C]4.1286[/C][C]2.3e-05[/C][/ROW]
[ROW][C]25[/C][C]-0.011253[/C][C]-0.2167[/C][C]0.414261[/C][/ROW]
[ROW][C]26[/C][C]-0.088796[/C][C]-1.7103[/C][C]0.044021[/C][/ROW]
[ROW][C]27[/C][C]-0.01174[/C][C]-0.2261[/C][C]0.410614[/C][/ROW]
[ROW][C]28[/C][C]-0.020782[/C][C]-0.4003[/C][C]0.344585[/C][/ROW]
[ROW][C]29[/C][C]-0.058745[/C][C]-1.1315[/C][C]0.129286[/C][/ROW]
[ROW][C]30[/C][C]-0.070939[/C][C]-1.3664[/C][C]0.086325[/C][/ROW]
[ROW][C]31[/C][C]-0.04759[/C][C]-0.9166[/C][C]0.179961[/C][/ROW]
[ROW][C]32[/C][C]-0.057698[/C][C]-1.1113[/C][C]0.133569[/C][/ROW]
[ROW][C]33[/C][C]-0.008413[/C][C]-0.162[/C][C]0.435678[/C][/ROW]
[ROW][C]34[/C][C]0.041499[/C][C]0.7993[/C][C]0.212304[/C][/ROW]
[ROW][C]35[/C][C]-0.075142[/C][C]-1.4473[/C][C]0.074325[/C][/ROW]
[ROW][C]36[/C][C]0.127509[/C][C]2.456[/C][C]0.007253[/C][/ROW]
[ROW][C]37[/C][C]-0.042765[/C][C]-0.8237[/C][C]0.205317[/C][/ROW]
[ROW][C]38[/C][C]0.026773[/C][C]0.5157[/C][C]0.303188[/C][/ROW]
[ROW][C]39[/C][C]0.018049[/C][C]0.3476[/C][C]0.364154[/C][/ROW]
[ROW][C]40[/C][C]-0.055476[/C][C]-1.0685[/C][C]0.142985[/C][/ROW]
[ROW][C]41[/C][C]-0.161702[/C][C]-3.1146[/C][C]0.000993[/C][/ROW]
[ROW][C]42[/C][C]0.0151[/C][C]0.2909[/C][C]0.385663[/C][/ROW]
[ROW][C]43[/C][C]-0.075803[/C][C]-1.4601[/C][C]0.072558[/C][/ROW]
[ROW][C]44[/C][C]-0.030211[/C][C]-0.5819[/C][C]0.280491[/C][/ROW]
[ROW][C]45[/C][C]-0.071316[/C][C]-1.3736[/C][C]0.08519[/C][/ROW]
[ROW][C]46[/C][C]0.007752[/C][C]0.1493[/C][C]0.440693[/C][/ROW]
[ROW][C]47[/C][C]0.046162[/C][C]0.8892[/C][C]0.187249[/C][/ROW]
[ROW][C]48[/C][C]0.10469[/C][C]2.0165[/C][C]0.022236[/C][/ROW]
[ROW][C]49[/C][C]0.057529[/C][C]1.1081[/C][C]0.13427[/C][/ROW]
[ROW][C]50[/C][C]-0.001197[/C][C]-0.023[/C][C]0.490813[/C][/ROW]
[ROW][C]51[/C][C]0.043952[/C][C]0.8466[/C][C]0.198888[/C][/ROW]
[ROW][C]52[/C][C]0.014767[/C][C]0.2844[/C][C]0.388119[/C][/ROW]
[ROW][C]53[/C][C]-0.049461[/C][C]-0.9527[/C][C]0.170683[/C][/ROW]
[ROW][C]54[/C][C]-0.005899[/C][C]-0.1136[/C][C]0.454796[/C][/ROW]
[ROW][C]55[/C][C]0.061869[/C][C]1.1917[/C][C]0.117073[/C][/ROW]
[ROW][C]56[/C][C]0.003246[/C][C]0.0625[/C][C]0.475092[/C][/ROW]
[ROW][C]57[/C][C]-0.003959[/C][C]-0.0763[/C][C]0.469629[/C][/ROW]
[ROW][C]58[/C][C]0.018637[/C][C]0.359[/C][C]0.359906[/C][/ROW]
[ROW][C]59[/C][C]0.024576[/C][C]0.4734[/C][C]0.318116[/C][/ROW]
[ROW][C]60[/C][C]-0.052034[/C][C]-1.0022[/C][C]0.158439[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=194139&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=194139&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
10.0304980.58740.278638
2-0.147197-2.83520.002415
3-0.250952-4.83371e-06
4-0.099073-1.90830.028564
50.2136714.11562.4e-05
6-0.229321-4.4177e-06
70.3194896.15380
8-0.108402-2.0880.018741
9-0.295783-5.69720
10-0.189546-3.65090.000149
110.0532721.02610.152758
120.63700212.26950
13-0.152635-2.940.001744
14-0.220834-4.25361.3e-05
15-0.061034-1.17560.120255
16-0.163243-3.14439e-04
17-0.089865-1.73090.042149
18-0.089665-1.72710.042494
190.084681.6310.051864
20-0.044248-0.85230.197305
210.003230.06220.475209
220.0206750.39820.345344
23-0.085334-1.64360.050548
240.2143484.12862.3e-05
25-0.011253-0.21670.414261
26-0.088796-1.71030.044021
27-0.01174-0.22610.410614
28-0.020782-0.40030.344585
29-0.058745-1.13150.129286
30-0.070939-1.36640.086325
31-0.04759-0.91660.179961
32-0.057698-1.11130.133569
33-0.008413-0.1620.435678
340.0414990.79930.212304
35-0.075142-1.44730.074325
360.1275092.4560.007253
37-0.042765-0.82370.205317
380.0267730.51570.303188
390.0180490.34760.364154
40-0.055476-1.06850.142985
41-0.161702-3.11460.000993
420.01510.29090.385663
43-0.075803-1.46010.072558
44-0.030211-0.58190.280491
45-0.071316-1.37360.08519
460.0077520.14930.440693
470.0461620.88920.187249
480.104692.01650.022236
490.0575291.10810.13427
50-0.001197-0.0230.490813
510.0439520.84660.198888
520.0147670.28440.388119
53-0.049461-0.95270.170683
54-0.005899-0.11360.454796
550.0618691.19170.117073
560.0032460.06250.475092
57-0.003959-0.07630.469629
580.0186370.3590.359906
590.0245760.47340.318116
60-0.052034-1.00220.158439



Parameters (Session):
par1 = Default ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ;
Parameters (R input):
par1 = 60 ; par2 = 1 ; par3 = 1 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ; par8 = ;
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 (par6 == 'White Noise') par6 <- 'white' else par6 <- 'ma'
par7 <- as.numeric(par7)
if (par8 != '') par8 <- as.numeric(par8)
ox <- x
if (par8 == '') {
if (par2 == 0) {
x <- log(x)
} else {
x <- (x ^ par2 - 1) / par2
}
} else {
x <- log(x,base=par8)
}
if (par3 > 0) x <- diff(x,lag=1,difference=par3)
if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
bitmap(file='picts.png')
op <- par(mfrow=c(2,1))
plot(ox,type='l',main='Original Time Series',xlab='time',ylab='value')
if (par8=='') {
mytitle <- paste('Working Time Series (lambda=',par2,', d=',par3,', D=',par4,')',sep='')
mysub <- paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep='')
} else {
mytitle <- paste('Working Time Series (base=',par8,', d=',par3,', D=',par4,')',sep='')
mysub <- paste('(base=',par8,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep='')
}
plot(x,type='l', main=mytitle,xlab='time',ylab='value')
par(op)
dev.off()
bitmap(file='pic1.png')
racf <- acf(x, par1, main='Autocorrelation', xlab='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=mysub)
dev.off()
bitmap(file='pic2.png')
rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF',sub=mysub)
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')