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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationFri, 05 Dec 2008 11:45:43 -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/05/t1228502776qzviin8du46iuco.htm/, Retrieved Thu, 16 May 2024 21:56:08 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=29387, Retrieved Thu, 16 May 2024 21:56:08 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsjulie govaerts
Estimated Impact172
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [data set] [2008-12-01 19:54:57] [b98453cac15ba1066b407e146608df68]
- RMP     [(Partial) Autocorrelation Function] [acf] [2008-12-05 18:45:43] [d41d8cd98f00b204e9800998ecf8427e] [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 time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=29387&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]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=29387&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=29387&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'Sir Ronald Aylmer Fisher' @ 193.190.124.24







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.94803718.28510
20.89713217.30320
30.85258216.4440
40.83113416.03030
50.81833415.78340
60.78360915.11370
70.75870614.63340
80.71356813.76280
90.68025713.12030
100.67094212.94070
110.67497713.01850
120.67972213.110
130.62000911.95830
140.5652810.90270
150.5226110.07970
160.5066779.77240
170.5047899.7360
180.4872159.39710
190.4826139.30830
200.4582678.83870
210.4460848.60380
220.459538.86310
230.481579.28820
240.5066149.77120
250.4673839.01460
260.4291578.27730
270.4000617.71610
280.3933547.58670
290.3959827.63740
300.3812747.35370
310.3760617.25320
320.3505366.76090
330.3399776.55720
340.3497486.74570
350.3697177.13080
360.3922977.56630
370.3534446.8170
380.3169696.11350
390.2888695.57150
400.2830815.45990
410.2881575.55780
420.278435.37020
430.2786275.3740
440.2610575.03510
450.2583294.98250
460.2768125.33890
470.3049075.88080
480.3290326.34610
490.2956035.70140
500.2627615.0680
510.2365164.56183e-06
520.2310924.45716e-06
530.2337564.50854e-06
540.2166614.17881.8e-05
550.2091064.03313.3e-05
560.1822943.5160.000246
570.1683243.24650.000637
580.1705043.28860.000552
590.1785163.44310.00032
600.1833383.53610.000229

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.948037 & 18.2851 & 0 \tabularnewline
2 & 0.897132 & 17.3032 & 0 \tabularnewline
3 & 0.852582 & 16.444 & 0 \tabularnewline
4 & 0.831134 & 16.0303 & 0 \tabularnewline
5 & 0.818334 & 15.7834 & 0 \tabularnewline
6 & 0.783609 & 15.1137 & 0 \tabularnewline
7 & 0.758706 & 14.6334 & 0 \tabularnewline
8 & 0.713568 & 13.7628 & 0 \tabularnewline
9 & 0.680257 & 13.1203 & 0 \tabularnewline
10 & 0.670942 & 12.9407 & 0 \tabularnewline
11 & 0.674977 & 13.0185 & 0 \tabularnewline
12 & 0.679722 & 13.11 & 0 \tabularnewline
13 & 0.620009 & 11.9583 & 0 \tabularnewline
14 & 0.56528 & 10.9027 & 0 \tabularnewline
15 & 0.52261 & 10.0797 & 0 \tabularnewline
16 & 0.506677 & 9.7724 & 0 \tabularnewline
17 & 0.504789 & 9.736 & 0 \tabularnewline
18 & 0.487215 & 9.3971 & 0 \tabularnewline
19 & 0.482613 & 9.3083 & 0 \tabularnewline
20 & 0.458267 & 8.8387 & 0 \tabularnewline
21 & 0.446084 & 8.6038 & 0 \tabularnewline
22 & 0.45953 & 8.8631 & 0 \tabularnewline
23 & 0.48157 & 9.2882 & 0 \tabularnewline
24 & 0.506614 & 9.7712 & 0 \tabularnewline
25 & 0.467383 & 9.0146 & 0 \tabularnewline
26 & 0.429157 & 8.2773 & 0 \tabularnewline
27 & 0.400061 & 7.7161 & 0 \tabularnewline
28 & 0.393354 & 7.5867 & 0 \tabularnewline
29 & 0.395982 & 7.6374 & 0 \tabularnewline
30 & 0.381274 & 7.3537 & 0 \tabularnewline
31 & 0.376061 & 7.2532 & 0 \tabularnewline
32 & 0.350536 & 6.7609 & 0 \tabularnewline
33 & 0.339977 & 6.5572 & 0 \tabularnewline
34 & 0.349748 & 6.7457 & 0 \tabularnewline
35 & 0.369717 & 7.1308 & 0 \tabularnewline
36 & 0.392297 & 7.5663 & 0 \tabularnewline
37 & 0.353444 & 6.817 & 0 \tabularnewline
38 & 0.316969 & 6.1135 & 0 \tabularnewline
39 & 0.288869 & 5.5715 & 0 \tabularnewline
40 & 0.283081 & 5.4599 & 0 \tabularnewline
41 & 0.288157 & 5.5578 & 0 \tabularnewline
42 & 0.27843 & 5.3702 & 0 \tabularnewline
43 & 0.278627 & 5.374 & 0 \tabularnewline
44 & 0.261057 & 5.0351 & 0 \tabularnewline
45 & 0.258329 & 4.9825 & 0 \tabularnewline
46 & 0.276812 & 5.3389 & 0 \tabularnewline
47 & 0.304907 & 5.8808 & 0 \tabularnewline
48 & 0.329032 & 6.3461 & 0 \tabularnewline
49 & 0.295603 & 5.7014 & 0 \tabularnewline
50 & 0.262761 & 5.068 & 0 \tabularnewline
51 & 0.236516 & 4.5618 & 3e-06 \tabularnewline
52 & 0.231092 & 4.4571 & 6e-06 \tabularnewline
53 & 0.233756 & 4.5085 & 4e-06 \tabularnewline
54 & 0.216661 & 4.1788 & 1.8e-05 \tabularnewline
55 & 0.209106 & 4.0331 & 3.3e-05 \tabularnewline
56 & 0.182294 & 3.516 & 0.000246 \tabularnewline
57 & 0.168324 & 3.2465 & 0.000637 \tabularnewline
58 & 0.170504 & 3.2886 & 0.000552 \tabularnewline
59 & 0.178516 & 3.4431 & 0.00032 \tabularnewline
60 & 0.183338 & 3.5361 & 0.000229 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=29387&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]0.948037[/C][C]18.2851[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.897132[/C][C]17.3032[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.852582[/C][C]16.444[/C][C]0[/C][/ROW]
[ROW][C]4[/C][C]0.831134[/C][C]16.0303[/C][C]0[/C][/ROW]
[ROW][C]5[/C][C]0.818334[/C][C]15.7834[/C][C]0[/C][/ROW]
[ROW][C]6[/C][C]0.783609[/C][C]15.1137[/C][C]0[/C][/ROW]
[ROW][C]7[/C][C]0.758706[/C][C]14.6334[/C][C]0[/C][/ROW]
[ROW][C]8[/C][C]0.713568[/C][C]13.7628[/C][C]0[/C][/ROW]
[ROW][C]9[/C][C]0.680257[/C][C]13.1203[/C][C]0[/C][/ROW]
[ROW][C]10[/C][C]0.670942[/C][C]12.9407[/C][C]0[/C][/ROW]
[ROW][C]11[/C][C]0.674977[/C][C]13.0185[/C][C]0[/C][/ROW]
[ROW][C]12[/C][C]0.679722[/C][C]13.11[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]0.620009[/C][C]11.9583[/C][C]0[/C][/ROW]
[ROW][C]14[/C][C]0.56528[/C][C]10.9027[/C][C]0[/C][/ROW]
[ROW][C]15[/C][C]0.52261[/C][C]10.0797[/C][C]0[/C][/ROW]
[ROW][C]16[/C][C]0.506677[/C][C]9.7724[/C][C]0[/C][/ROW]
[ROW][C]17[/C][C]0.504789[/C][C]9.736[/C][C]0[/C][/ROW]
[ROW][C]18[/C][C]0.487215[/C][C]9.3971[/C][C]0[/C][/ROW]
[ROW][C]19[/C][C]0.482613[/C][C]9.3083[/C][C]0[/C][/ROW]
[ROW][C]20[/C][C]0.458267[/C][C]8.8387[/C][C]0[/C][/ROW]
[ROW][C]21[/C][C]0.446084[/C][C]8.6038[/C][C]0[/C][/ROW]
[ROW][C]22[/C][C]0.45953[/C][C]8.8631[/C][C]0[/C][/ROW]
[ROW][C]23[/C][C]0.48157[/C][C]9.2882[/C][C]0[/C][/ROW]
[ROW][C]24[/C][C]0.506614[/C][C]9.7712[/C][C]0[/C][/ROW]
[ROW][C]25[/C][C]0.467383[/C][C]9.0146[/C][C]0[/C][/ROW]
[ROW][C]26[/C][C]0.429157[/C][C]8.2773[/C][C]0[/C][/ROW]
[ROW][C]27[/C][C]0.400061[/C][C]7.7161[/C][C]0[/C][/ROW]
[ROW][C]28[/C][C]0.393354[/C][C]7.5867[/C][C]0[/C][/ROW]
[ROW][C]29[/C][C]0.395982[/C][C]7.6374[/C][C]0[/C][/ROW]
[ROW][C]30[/C][C]0.381274[/C][C]7.3537[/C][C]0[/C][/ROW]
[ROW][C]31[/C][C]0.376061[/C][C]7.2532[/C][C]0[/C][/ROW]
[ROW][C]32[/C][C]0.350536[/C][C]6.7609[/C][C]0[/C][/ROW]
[ROW][C]33[/C][C]0.339977[/C][C]6.5572[/C][C]0[/C][/ROW]
[ROW][C]34[/C][C]0.349748[/C][C]6.7457[/C][C]0[/C][/ROW]
[ROW][C]35[/C][C]0.369717[/C][C]7.1308[/C][C]0[/C][/ROW]
[ROW][C]36[/C][C]0.392297[/C][C]7.5663[/C][C]0[/C][/ROW]
[ROW][C]37[/C][C]0.353444[/C][C]6.817[/C][C]0[/C][/ROW]
[ROW][C]38[/C][C]0.316969[/C][C]6.1135[/C][C]0[/C][/ROW]
[ROW][C]39[/C][C]0.288869[/C][C]5.5715[/C][C]0[/C][/ROW]
[ROW][C]40[/C][C]0.283081[/C][C]5.4599[/C][C]0[/C][/ROW]
[ROW][C]41[/C][C]0.288157[/C][C]5.5578[/C][C]0[/C][/ROW]
[ROW][C]42[/C][C]0.27843[/C][C]5.3702[/C][C]0[/C][/ROW]
[ROW][C]43[/C][C]0.278627[/C][C]5.374[/C][C]0[/C][/ROW]
[ROW][C]44[/C][C]0.261057[/C][C]5.0351[/C][C]0[/C][/ROW]
[ROW][C]45[/C][C]0.258329[/C][C]4.9825[/C][C]0[/C][/ROW]
[ROW][C]46[/C][C]0.276812[/C][C]5.3389[/C][C]0[/C][/ROW]
[ROW][C]47[/C][C]0.304907[/C][C]5.8808[/C][C]0[/C][/ROW]
[ROW][C]48[/C][C]0.329032[/C][C]6.3461[/C][C]0[/C][/ROW]
[ROW][C]49[/C][C]0.295603[/C][C]5.7014[/C][C]0[/C][/ROW]
[ROW][C]50[/C][C]0.262761[/C][C]5.068[/C][C]0[/C][/ROW]
[ROW][C]51[/C][C]0.236516[/C][C]4.5618[/C][C]3e-06[/C][/ROW]
[ROW][C]52[/C][C]0.231092[/C][C]4.4571[/C][C]6e-06[/C][/ROW]
[ROW][C]53[/C][C]0.233756[/C][C]4.5085[/C][C]4e-06[/C][/ROW]
[ROW][C]54[/C][C]0.216661[/C][C]4.1788[/C][C]1.8e-05[/C][/ROW]
[ROW][C]55[/C][C]0.209106[/C][C]4.0331[/C][C]3.3e-05[/C][/ROW]
[ROW][C]56[/C][C]0.182294[/C][C]3.516[/C][C]0.000246[/C][/ROW]
[ROW][C]57[/C][C]0.168324[/C][C]3.2465[/C][C]0.000637[/C][/ROW]
[ROW][C]58[/C][C]0.170504[/C][C]3.2886[/C][C]0.000552[/C][/ROW]
[ROW][C]59[/C][C]0.178516[/C][C]3.4431[/C][C]0.00032[/C][/ROW]
[ROW][C]60[/C][C]0.183338[/C][C]3.5361[/C][C]0.000229[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=29387&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=29387&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
10.94803718.28510
20.89713217.30320
30.85258216.4440
40.83113416.03030
50.81833415.78340
60.78360915.11370
70.75870614.63340
80.71356813.76280
90.68025713.12030
100.67094212.94070
110.67497713.01850
120.67972213.110
130.62000911.95830
140.5652810.90270
150.5226110.07970
160.5066779.77240
170.5047899.7360
180.4872159.39710
190.4826139.30830
200.4582678.83870
210.4460848.60380
220.459538.86310
230.481579.28820
240.5066149.77120
250.4673839.01460
260.4291578.27730
270.4000617.71610
280.3933547.58670
290.3959827.63740
300.3812747.35370
310.3760617.25320
320.3505366.76090
330.3399776.55720
340.3497486.74570
350.3697177.13080
360.3922977.56630
370.3534446.8170
380.3169696.11350
390.2888695.57150
400.2830815.45990
410.2881575.55780
420.278435.37020
430.2786275.3740
440.2610575.03510
450.2583294.98250
460.2768125.33890
470.3049075.88080
480.3290326.34610
490.2956035.70140
500.2627615.0680
510.2365164.56183e-06
520.2310924.45716e-06
530.2337564.50854e-06
540.2166614.17881.8e-05
550.2091064.03313.3e-05
560.1822943.5160.000246
570.1683243.24650.000637
580.1705043.28860.000552
590.1785163.44310.00032
600.1833383.53610.000229







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.94803718.28510
2-0.016225-0.31290.377254
30.0360690.69570.243537
40.2055893.96524.4e-05
50.0861771.66210.048666
6-0.203951-3.93375e-05
70.1409362.71830.003435
8-0.211726-4.08362.7e-05
90.0362240.69870.2426
100.2564694.94661e-06
110.111822.15670.015835
12-0.021102-0.4070.342121
13-0.531152-10.24450
140.0431370.8320.20297
150.109832.11830.017405
160.0962831.8570.032048
170.1298012.50350.006362
180.047690.91980.179132
190.1192832.30070.010982
20-0.023855-0.46010.322854
210.0022030.04250.483068
220.1224592.36190.009348
23-0.05263-1.01510.155362
240.0739431.42620.07733
25-0.286843-5.53240
26-0.056693-1.09340.137452
270.0405180.78150.217507
280.0110080.21230.415993
29-0.019503-0.37620.353508
300.0200730.38720.349432
310.0394540.7610.223581
320.0196470.37890.352477
330.0956291.84440.032958
340.0049970.09640.461636
350.0155520.29990.382192
360.0564621.0890.13843
37-0.178204-3.43710.000327
38-0.010614-0.20470.418956
390.0185660.35810.360243
40-0.004936-0.09520.462105
410.016370.31570.376194
420.0495720.95610.16982
430.0234910.45310.32538
440.026780.51650.302904
450.0591851.14150.127194
460.0248940.48010.315706
47-0.006918-0.13340.446963
48-0.091226-1.75950.039657
49-0.08967-1.72950.042275
50-0.026396-0.50910.305488
51-0.009307-0.17950.428816
52-0.005255-0.10140.459662
53-0.006136-0.11830.45293
54-0.077968-1.50380.066742
550.0229480.44260.329155
560.0166020.32020.374498
57-0.036423-0.70250.241406
58-0.077495-1.49470.067924
59-0.038777-0.74790.227493
60-0.037304-0.71950.236141

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.948037 & 18.2851 & 0 \tabularnewline
2 & -0.016225 & -0.3129 & 0.377254 \tabularnewline
3 & 0.036069 & 0.6957 & 0.243537 \tabularnewline
4 & 0.205589 & 3.9652 & 4.4e-05 \tabularnewline
5 & 0.086177 & 1.6621 & 0.048666 \tabularnewline
6 & -0.203951 & -3.9337 & 5e-05 \tabularnewline
7 & 0.140936 & 2.7183 & 0.003435 \tabularnewline
8 & -0.211726 & -4.0836 & 2.7e-05 \tabularnewline
9 & 0.036224 & 0.6987 & 0.2426 \tabularnewline
10 & 0.256469 & 4.9466 & 1e-06 \tabularnewline
11 & 0.11182 & 2.1567 & 0.015835 \tabularnewline
12 & -0.021102 & -0.407 & 0.342121 \tabularnewline
13 & -0.531152 & -10.2445 & 0 \tabularnewline
14 & 0.043137 & 0.832 & 0.20297 \tabularnewline
15 & 0.10983 & 2.1183 & 0.017405 \tabularnewline
16 & 0.096283 & 1.857 & 0.032048 \tabularnewline
17 & 0.129801 & 2.5035 & 0.006362 \tabularnewline
18 & 0.04769 & 0.9198 & 0.179132 \tabularnewline
19 & 0.119283 & 2.3007 & 0.010982 \tabularnewline
20 & -0.023855 & -0.4601 & 0.322854 \tabularnewline
21 & 0.002203 & 0.0425 & 0.483068 \tabularnewline
22 & 0.122459 & 2.3619 & 0.009348 \tabularnewline
23 & -0.05263 & -1.0151 & 0.155362 \tabularnewline
24 & 0.073943 & 1.4262 & 0.07733 \tabularnewline
25 & -0.286843 & -5.5324 & 0 \tabularnewline
26 & -0.056693 & -1.0934 & 0.137452 \tabularnewline
27 & 0.040518 & 0.7815 & 0.217507 \tabularnewline
28 & 0.011008 & 0.2123 & 0.415993 \tabularnewline
29 & -0.019503 & -0.3762 & 0.353508 \tabularnewline
30 & 0.020073 & 0.3872 & 0.349432 \tabularnewline
31 & 0.039454 & 0.761 & 0.223581 \tabularnewline
32 & 0.019647 & 0.3789 & 0.352477 \tabularnewline
33 & 0.095629 & 1.8444 & 0.032958 \tabularnewline
34 & 0.004997 & 0.0964 & 0.461636 \tabularnewline
35 & 0.015552 & 0.2999 & 0.382192 \tabularnewline
36 & 0.056462 & 1.089 & 0.13843 \tabularnewline
37 & -0.178204 & -3.4371 & 0.000327 \tabularnewline
38 & -0.010614 & -0.2047 & 0.418956 \tabularnewline
39 & 0.018566 & 0.3581 & 0.360243 \tabularnewline
40 & -0.004936 & -0.0952 & 0.462105 \tabularnewline
41 & 0.01637 & 0.3157 & 0.376194 \tabularnewline
42 & 0.049572 & 0.9561 & 0.16982 \tabularnewline
43 & 0.023491 & 0.4531 & 0.32538 \tabularnewline
44 & 0.02678 & 0.5165 & 0.302904 \tabularnewline
45 & 0.059185 & 1.1415 & 0.127194 \tabularnewline
46 & 0.024894 & 0.4801 & 0.315706 \tabularnewline
47 & -0.006918 & -0.1334 & 0.446963 \tabularnewline
48 & -0.091226 & -1.7595 & 0.039657 \tabularnewline
49 & -0.08967 & -1.7295 & 0.042275 \tabularnewline
50 & -0.026396 & -0.5091 & 0.305488 \tabularnewline
51 & -0.009307 & -0.1795 & 0.428816 \tabularnewline
52 & -0.005255 & -0.1014 & 0.459662 \tabularnewline
53 & -0.006136 & -0.1183 & 0.45293 \tabularnewline
54 & -0.077968 & -1.5038 & 0.066742 \tabularnewline
55 & 0.022948 & 0.4426 & 0.329155 \tabularnewline
56 & 0.016602 & 0.3202 & 0.374498 \tabularnewline
57 & -0.036423 & -0.7025 & 0.241406 \tabularnewline
58 & -0.077495 & -1.4947 & 0.067924 \tabularnewline
59 & -0.038777 & -0.7479 & 0.227493 \tabularnewline
60 & -0.037304 & -0.7195 & 0.236141 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=29387&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]0.948037[/C][C]18.2851[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]-0.016225[/C][C]-0.3129[/C][C]0.377254[/C][/ROW]
[ROW][C]3[/C][C]0.036069[/C][C]0.6957[/C][C]0.243537[/C][/ROW]
[ROW][C]4[/C][C]0.205589[/C][C]3.9652[/C][C]4.4e-05[/C][/ROW]
[ROW][C]5[/C][C]0.086177[/C][C]1.6621[/C][C]0.048666[/C][/ROW]
[ROW][C]6[/C][C]-0.203951[/C][C]-3.9337[/C][C]5e-05[/C][/ROW]
[ROW][C]7[/C][C]0.140936[/C][C]2.7183[/C][C]0.003435[/C][/ROW]
[ROW][C]8[/C][C]-0.211726[/C][C]-4.0836[/C][C]2.7e-05[/C][/ROW]
[ROW][C]9[/C][C]0.036224[/C][C]0.6987[/C][C]0.2426[/C][/ROW]
[ROW][C]10[/C][C]0.256469[/C][C]4.9466[/C][C]1e-06[/C][/ROW]
[ROW][C]11[/C][C]0.11182[/C][C]2.1567[/C][C]0.015835[/C][/ROW]
[ROW][C]12[/C][C]-0.021102[/C][C]-0.407[/C][C]0.342121[/C][/ROW]
[ROW][C]13[/C][C]-0.531152[/C][C]-10.2445[/C][C]0[/C][/ROW]
[ROW][C]14[/C][C]0.043137[/C][C]0.832[/C][C]0.20297[/C][/ROW]
[ROW][C]15[/C][C]0.10983[/C][C]2.1183[/C][C]0.017405[/C][/ROW]
[ROW][C]16[/C][C]0.096283[/C][C]1.857[/C][C]0.032048[/C][/ROW]
[ROW][C]17[/C][C]0.129801[/C][C]2.5035[/C][C]0.006362[/C][/ROW]
[ROW][C]18[/C][C]0.04769[/C][C]0.9198[/C][C]0.179132[/C][/ROW]
[ROW][C]19[/C][C]0.119283[/C][C]2.3007[/C][C]0.010982[/C][/ROW]
[ROW][C]20[/C][C]-0.023855[/C][C]-0.4601[/C][C]0.322854[/C][/ROW]
[ROW][C]21[/C][C]0.002203[/C][C]0.0425[/C][C]0.483068[/C][/ROW]
[ROW][C]22[/C][C]0.122459[/C][C]2.3619[/C][C]0.009348[/C][/ROW]
[ROW][C]23[/C][C]-0.05263[/C][C]-1.0151[/C][C]0.155362[/C][/ROW]
[ROW][C]24[/C][C]0.073943[/C][C]1.4262[/C][C]0.07733[/C][/ROW]
[ROW][C]25[/C][C]-0.286843[/C][C]-5.5324[/C][C]0[/C][/ROW]
[ROW][C]26[/C][C]-0.056693[/C][C]-1.0934[/C][C]0.137452[/C][/ROW]
[ROW][C]27[/C][C]0.040518[/C][C]0.7815[/C][C]0.217507[/C][/ROW]
[ROW][C]28[/C][C]0.011008[/C][C]0.2123[/C][C]0.415993[/C][/ROW]
[ROW][C]29[/C][C]-0.019503[/C][C]-0.3762[/C][C]0.353508[/C][/ROW]
[ROW][C]30[/C][C]0.020073[/C][C]0.3872[/C][C]0.349432[/C][/ROW]
[ROW][C]31[/C][C]0.039454[/C][C]0.761[/C][C]0.223581[/C][/ROW]
[ROW][C]32[/C][C]0.019647[/C][C]0.3789[/C][C]0.352477[/C][/ROW]
[ROW][C]33[/C][C]0.095629[/C][C]1.8444[/C][C]0.032958[/C][/ROW]
[ROW][C]34[/C][C]0.004997[/C][C]0.0964[/C][C]0.461636[/C][/ROW]
[ROW][C]35[/C][C]0.015552[/C][C]0.2999[/C][C]0.382192[/C][/ROW]
[ROW][C]36[/C][C]0.056462[/C][C]1.089[/C][C]0.13843[/C][/ROW]
[ROW][C]37[/C][C]-0.178204[/C][C]-3.4371[/C][C]0.000327[/C][/ROW]
[ROW][C]38[/C][C]-0.010614[/C][C]-0.2047[/C][C]0.418956[/C][/ROW]
[ROW][C]39[/C][C]0.018566[/C][C]0.3581[/C][C]0.360243[/C][/ROW]
[ROW][C]40[/C][C]-0.004936[/C][C]-0.0952[/C][C]0.462105[/C][/ROW]
[ROW][C]41[/C][C]0.01637[/C][C]0.3157[/C][C]0.376194[/C][/ROW]
[ROW][C]42[/C][C]0.049572[/C][C]0.9561[/C][C]0.16982[/C][/ROW]
[ROW][C]43[/C][C]0.023491[/C][C]0.4531[/C][C]0.32538[/C][/ROW]
[ROW][C]44[/C][C]0.02678[/C][C]0.5165[/C][C]0.302904[/C][/ROW]
[ROW][C]45[/C][C]0.059185[/C][C]1.1415[/C][C]0.127194[/C][/ROW]
[ROW][C]46[/C][C]0.024894[/C][C]0.4801[/C][C]0.315706[/C][/ROW]
[ROW][C]47[/C][C]-0.006918[/C][C]-0.1334[/C][C]0.446963[/C][/ROW]
[ROW][C]48[/C][C]-0.091226[/C][C]-1.7595[/C][C]0.039657[/C][/ROW]
[ROW][C]49[/C][C]-0.08967[/C][C]-1.7295[/C][C]0.042275[/C][/ROW]
[ROW][C]50[/C][C]-0.026396[/C][C]-0.5091[/C][C]0.305488[/C][/ROW]
[ROW][C]51[/C][C]-0.009307[/C][C]-0.1795[/C][C]0.428816[/C][/ROW]
[ROW][C]52[/C][C]-0.005255[/C][C]-0.1014[/C][C]0.459662[/C][/ROW]
[ROW][C]53[/C][C]-0.006136[/C][C]-0.1183[/C][C]0.45293[/C][/ROW]
[ROW][C]54[/C][C]-0.077968[/C][C]-1.5038[/C][C]0.066742[/C][/ROW]
[ROW][C]55[/C][C]0.022948[/C][C]0.4426[/C][C]0.329155[/C][/ROW]
[ROW][C]56[/C][C]0.016602[/C][C]0.3202[/C][C]0.374498[/C][/ROW]
[ROW][C]57[/C][C]-0.036423[/C][C]-0.7025[/C][C]0.241406[/C][/ROW]
[ROW][C]58[/C][C]-0.077495[/C][C]-1.4947[/C][C]0.067924[/C][/ROW]
[ROW][C]59[/C][C]-0.038777[/C][C]-0.7479[/C][C]0.227493[/C][/ROW]
[ROW][C]60[/C][C]-0.037304[/C][C]-0.7195[/C][C]0.236141[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=29387&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=29387&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
10.94803718.28510
2-0.016225-0.31290.377254
30.0360690.69570.243537
40.2055893.96524.4e-05
50.0861771.66210.048666
6-0.203951-3.93375e-05
70.1409362.71830.003435
8-0.211726-4.08362.7e-05
90.0362240.69870.2426
100.2564694.94661e-06
110.111822.15670.015835
12-0.021102-0.4070.342121
13-0.531152-10.24450
140.0431370.8320.20297
150.109832.11830.017405
160.0962831.8570.032048
170.1298012.50350.006362
180.047690.91980.179132
190.1192832.30070.010982
20-0.023855-0.46010.322854
210.0022030.04250.483068
220.1224592.36190.009348
23-0.05263-1.01510.155362
240.0739431.42620.07733
25-0.286843-5.53240
26-0.056693-1.09340.137452
270.0405180.78150.217507
280.0110080.21230.415993
29-0.019503-0.37620.353508
300.0200730.38720.349432
310.0394540.7610.223581
320.0196470.37890.352477
330.0956291.84440.032958
340.0049970.09640.461636
350.0155520.29990.382192
360.0564621.0890.13843
37-0.178204-3.43710.000327
38-0.010614-0.20470.418956
390.0185660.35810.360243
40-0.004936-0.09520.462105
410.016370.31570.376194
420.0495720.95610.16982
430.0234910.45310.32538
440.026780.51650.302904
450.0591851.14150.127194
460.0248940.48010.315706
47-0.006918-0.13340.446963
48-0.091226-1.75950.039657
49-0.08967-1.72950.042275
50-0.026396-0.50910.305488
51-0.009307-0.17950.428816
52-0.005255-0.10140.459662
53-0.006136-0.11830.45293
54-0.077968-1.50380.066742
550.0229480.44260.329155
560.0166020.32020.374498
57-0.036423-0.70250.241406
58-0.077495-1.49470.067924
59-0.038777-0.74790.227493
60-0.037304-0.71950.236141



Parameters (Session):
par1 = 60 ; par2 = -0.5 ; par3 = 0 ; par4 = 0 ; par5 = 12 ;
Parameters (R input):
par1 = 60 ; par2 = -0.5 ; 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')