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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 computationThu, 01 Dec 2011 08:10:12 -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/2011/Dec/01/t1322745032ep720d9lb7go4rw.htm/, Retrieved Thu, 28 Mar 2024 12:54:03 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=149471, Retrieved Thu, 28 Mar 2024 12:54:03 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact103
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [(Partial) Autocorrelation Function] [WS8 - ACF2] [2011-12-01 13:01:36] [d3c56829b3e69baec30b0d469b5d7237]
- R P     [(Partial) Autocorrelation Function] [WS9 ACF3] [2011-12-01 13:10:12] [90397ad74249faf9640e6aa26282b307] [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 time1 seconds
R Server'Gwilym Jenkins' @ jenkins.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 & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=149471&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' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=149471&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=149471&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' @ jenkins.wessa.net







Autocorrelation Function
Time lag kACF(k)T-STATP-value
1-0.570374-10.7920
20.1849373.49920.000263
3-0.122624-2.32010.010447
40.0590941.11810.132136
5-0.033502-0.63390.263277
60.0692541.31030.09546
7-0.107147-2.02730.021685
80.0606221.1470.126068
90.0129760.24550.403095
10-0.103329-1.95510.025676
110.305775.78540
12-0.435766-8.24510
130.1751253.31350.000508
14-0.026731-0.50580.306661
150.0621931.17670.12004
16-0.063812-1.20740.114043
170.0415470.78610.216165
18-0.078626-1.48770.068859
190.0972791.84060.033254
20-0.042289-0.80010.21208
210.0465390.88060.189572
22-0.050756-0.96040.168762
230.0456760.86420.194021
24-0.094815-1.7940.03683
250.1563812.95890.001647
26-0.105021-1.98710.023837
27-0.009274-0.17550.430401
28-0.003142-0.05940.476316
290.0738131.39660.081697
30-0.054487-1.03090.15163
310.0697691.32010.093824
32-0.095015-1.79780.036528
330.0415440.7860.216181
340.0487410.92220.178517
35-0.060219-1.13940.12765
360.0774181.46480.071923
37-0.146281-2.76780.002969
380.1055251.99660.023311
39-0.020255-0.38320.350886
400.0430180.81390.208113
41-0.100791-1.90710.028657
420.12792.420.008009
43-0.164429-3.11120.001007
440.1257892.380.008917
45-0.087473-1.65510.049394
460.0436310.82550.20481
47-0.064913-1.22820.110086
480.0492470.93180.176035
490.0364730.69010.245288
50-0.001986-0.03760.48502
51-0.033918-0.64180.260721
520.0078810.14910.440771
530.0471190.89150.186619
54-0.085874-1.62480.052541
550.1019991.92990.027204
56-0.043258-0.81850.206812
57-0.005279-0.09990.460243
58-0.019753-0.37380.354405
590.0737781.39590.081798
60-0.058479-1.10650.134632

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & -0.570374 & -10.792 & 0 \tabularnewline
2 & 0.184937 & 3.4992 & 0.000263 \tabularnewline
3 & -0.122624 & -2.3201 & 0.010447 \tabularnewline
4 & 0.059094 & 1.1181 & 0.132136 \tabularnewline
5 & -0.033502 & -0.6339 & 0.263277 \tabularnewline
6 & 0.069254 & 1.3103 & 0.09546 \tabularnewline
7 & -0.107147 & -2.0273 & 0.021685 \tabularnewline
8 & 0.060622 & 1.147 & 0.126068 \tabularnewline
9 & 0.012976 & 0.2455 & 0.403095 \tabularnewline
10 & -0.103329 & -1.9551 & 0.025676 \tabularnewline
11 & 0.30577 & 5.7854 & 0 \tabularnewline
12 & -0.435766 & -8.2451 & 0 \tabularnewline
13 & 0.175125 & 3.3135 & 0.000508 \tabularnewline
14 & -0.026731 & -0.5058 & 0.306661 \tabularnewline
15 & 0.062193 & 1.1767 & 0.12004 \tabularnewline
16 & -0.063812 & -1.2074 & 0.114043 \tabularnewline
17 & 0.041547 & 0.7861 & 0.216165 \tabularnewline
18 & -0.078626 & -1.4877 & 0.068859 \tabularnewline
19 & 0.097279 & 1.8406 & 0.033254 \tabularnewline
20 & -0.042289 & -0.8001 & 0.21208 \tabularnewline
21 & 0.046539 & 0.8806 & 0.189572 \tabularnewline
22 & -0.050756 & -0.9604 & 0.168762 \tabularnewline
23 & 0.045676 & 0.8642 & 0.194021 \tabularnewline
24 & -0.094815 & -1.794 & 0.03683 \tabularnewline
25 & 0.156381 & 2.9589 & 0.001647 \tabularnewline
26 & -0.105021 & -1.9871 & 0.023837 \tabularnewline
27 & -0.009274 & -0.1755 & 0.430401 \tabularnewline
28 & -0.003142 & -0.0594 & 0.476316 \tabularnewline
29 & 0.073813 & 1.3966 & 0.081697 \tabularnewline
30 & -0.054487 & -1.0309 & 0.15163 \tabularnewline
31 & 0.069769 & 1.3201 & 0.093824 \tabularnewline
32 & -0.095015 & -1.7978 & 0.036528 \tabularnewline
33 & 0.041544 & 0.786 & 0.216181 \tabularnewline
34 & 0.048741 & 0.9222 & 0.178517 \tabularnewline
35 & -0.060219 & -1.1394 & 0.12765 \tabularnewline
36 & 0.077418 & 1.4648 & 0.071923 \tabularnewline
37 & -0.146281 & -2.7678 & 0.002969 \tabularnewline
38 & 0.105525 & 1.9966 & 0.023311 \tabularnewline
39 & -0.020255 & -0.3832 & 0.350886 \tabularnewline
40 & 0.043018 & 0.8139 & 0.208113 \tabularnewline
41 & -0.100791 & -1.9071 & 0.028657 \tabularnewline
42 & 0.1279 & 2.42 & 0.008009 \tabularnewline
43 & -0.164429 & -3.1112 & 0.001007 \tabularnewline
44 & 0.125789 & 2.38 & 0.008917 \tabularnewline
45 & -0.087473 & -1.6551 & 0.049394 \tabularnewline
46 & 0.043631 & 0.8255 & 0.20481 \tabularnewline
47 & -0.064913 & -1.2282 & 0.110086 \tabularnewline
48 & 0.049247 & 0.9318 & 0.176035 \tabularnewline
49 & 0.036473 & 0.6901 & 0.245288 \tabularnewline
50 & -0.001986 & -0.0376 & 0.48502 \tabularnewline
51 & -0.033918 & -0.6418 & 0.260721 \tabularnewline
52 & 0.007881 & 0.1491 & 0.440771 \tabularnewline
53 & 0.047119 & 0.8915 & 0.186619 \tabularnewline
54 & -0.085874 & -1.6248 & 0.052541 \tabularnewline
55 & 0.101999 & 1.9299 & 0.027204 \tabularnewline
56 & -0.043258 & -0.8185 & 0.206812 \tabularnewline
57 & -0.005279 & -0.0999 & 0.460243 \tabularnewline
58 & -0.019753 & -0.3738 & 0.354405 \tabularnewline
59 & 0.073778 & 1.3959 & 0.081798 \tabularnewline
60 & -0.058479 & -1.1065 & 0.134632 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=149471&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]-0.570374[/C][C]-10.792[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.184937[/C][C]3.4992[/C][C]0.000263[/C][/ROW]
[ROW][C]3[/C][C]-0.122624[/C][C]-2.3201[/C][C]0.010447[/C][/ROW]
[ROW][C]4[/C][C]0.059094[/C][C]1.1181[/C][C]0.132136[/C][/ROW]
[ROW][C]5[/C][C]-0.033502[/C][C]-0.6339[/C][C]0.263277[/C][/ROW]
[ROW][C]6[/C][C]0.069254[/C][C]1.3103[/C][C]0.09546[/C][/ROW]
[ROW][C]7[/C][C]-0.107147[/C][C]-2.0273[/C][C]0.021685[/C][/ROW]
[ROW][C]8[/C][C]0.060622[/C][C]1.147[/C][C]0.126068[/C][/ROW]
[ROW][C]9[/C][C]0.012976[/C][C]0.2455[/C][C]0.403095[/C][/ROW]
[ROW][C]10[/C][C]-0.103329[/C][C]-1.9551[/C][C]0.025676[/C][/ROW]
[ROW][C]11[/C][C]0.30577[/C][C]5.7854[/C][C]0[/C][/ROW]
[ROW][C]12[/C][C]-0.435766[/C][C]-8.2451[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]0.175125[/C][C]3.3135[/C][C]0.000508[/C][/ROW]
[ROW][C]14[/C][C]-0.026731[/C][C]-0.5058[/C][C]0.306661[/C][/ROW]
[ROW][C]15[/C][C]0.062193[/C][C]1.1767[/C][C]0.12004[/C][/ROW]
[ROW][C]16[/C][C]-0.063812[/C][C]-1.2074[/C][C]0.114043[/C][/ROW]
[ROW][C]17[/C][C]0.041547[/C][C]0.7861[/C][C]0.216165[/C][/ROW]
[ROW][C]18[/C][C]-0.078626[/C][C]-1.4877[/C][C]0.068859[/C][/ROW]
[ROW][C]19[/C][C]0.097279[/C][C]1.8406[/C][C]0.033254[/C][/ROW]
[ROW][C]20[/C][C]-0.042289[/C][C]-0.8001[/C][C]0.21208[/C][/ROW]
[ROW][C]21[/C][C]0.046539[/C][C]0.8806[/C][C]0.189572[/C][/ROW]
[ROW][C]22[/C][C]-0.050756[/C][C]-0.9604[/C][C]0.168762[/C][/ROW]
[ROW][C]23[/C][C]0.045676[/C][C]0.8642[/C][C]0.194021[/C][/ROW]
[ROW][C]24[/C][C]-0.094815[/C][C]-1.794[/C][C]0.03683[/C][/ROW]
[ROW][C]25[/C][C]0.156381[/C][C]2.9589[/C][C]0.001647[/C][/ROW]
[ROW][C]26[/C][C]-0.105021[/C][C]-1.9871[/C][C]0.023837[/C][/ROW]
[ROW][C]27[/C][C]-0.009274[/C][C]-0.1755[/C][C]0.430401[/C][/ROW]
[ROW][C]28[/C][C]-0.003142[/C][C]-0.0594[/C][C]0.476316[/C][/ROW]
[ROW][C]29[/C][C]0.073813[/C][C]1.3966[/C][C]0.081697[/C][/ROW]
[ROW][C]30[/C][C]-0.054487[/C][C]-1.0309[/C][C]0.15163[/C][/ROW]
[ROW][C]31[/C][C]0.069769[/C][C]1.3201[/C][C]0.093824[/C][/ROW]
[ROW][C]32[/C][C]-0.095015[/C][C]-1.7978[/C][C]0.036528[/C][/ROW]
[ROW][C]33[/C][C]0.041544[/C][C]0.786[/C][C]0.216181[/C][/ROW]
[ROW][C]34[/C][C]0.048741[/C][C]0.9222[/C][C]0.178517[/C][/ROW]
[ROW][C]35[/C][C]-0.060219[/C][C]-1.1394[/C][C]0.12765[/C][/ROW]
[ROW][C]36[/C][C]0.077418[/C][C]1.4648[/C][C]0.071923[/C][/ROW]
[ROW][C]37[/C][C]-0.146281[/C][C]-2.7678[/C][C]0.002969[/C][/ROW]
[ROW][C]38[/C][C]0.105525[/C][C]1.9966[/C][C]0.023311[/C][/ROW]
[ROW][C]39[/C][C]-0.020255[/C][C]-0.3832[/C][C]0.350886[/C][/ROW]
[ROW][C]40[/C][C]0.043018[/C][C]0.8139[/C][C]0.208113[/C][/ROW]
[ROW][C]41[/C][C]-0.100791[/C][C]-1.9071[/C][C]0.028657[/C][/ROW]
[ROW][C]42[/C][C]0.1279[/C][C]2.42[/C][C]0.008009[/C][/ROW]
[ROW][C]43[/C][C]-0.164429[/C][C]-3.1112[/C][C]0.001007[/C][/ROW]
[ROW][C]44[/C][C]0.125789[/C][C]2.38[/C][C]0.008917[/C][/ROW]
[ROW][C]45[/C][C]-0.087473[/C][C]-1.6551[/C][C]0.049394[/C][/ROW]
[ROW][C]46[/C][C]0.043631[/C][C]0.8255[/C][C]0.20481[/C][/ROW]
[ROW][C]47[/C][C]-0.064913[/C][C]-1.2282[/C][C]0.110086[/C][/ROW]
[ROW][C]48[/C][C]0.049247[/C][C]0.9318[/C][C]0.176035[/C][/ROW]
[ROW][C]49[/C][C]0.036473[/C][C]0.6901[/C][C]0.245288[/C][/ROW]
[ROW][C]50[/C][C]-0.001986[/C][C]-0.0376[/C][C]0.48502[/C][/ROW]
[ROW][C]51[/C][C]-0.033918[/C][C]-0.6418[/C][C]0.260721[/C][/ROW]
[ROW][C]52[/C][C]0.007881[/C][C]0.1491[/C][C]0.440771[/C][/ROW]
[ROW][C]53[/C][C]0.047119[/C][C]0.8915[/C][C]0.186619[/C][/ROW]
[ROW][C]54[/C][C]-0.085874[/C][C]-1.6248[/C][C]0.052541[/C][/ROW]
[ROW][C]55[/C][C]0.101999[/C][C]1.9299[/C][C]0.027204[/C][/ROW]
[ROW][C]56[/C][C]-0.043258[/C][C]-0.8185[/C][C]0.206812[/C][/ROW]
[ROW][C]57[/C][C]-0.005279[/C][C]-0.0999[/C][C]0.460243[/C][/ROW]
[ROW][C]58[/C][C]-0.019753[/C][C]-0.3738[/C][C]0.354405[/C][/ROW]
[ROW][C]59[/C][C]0.073778[/C][C]1.3959[/C][C]0.081798[/C][/ROW]
[ROW][C]60[/C][C]-0.058479[/C][C]-1.1065[/C][C]0.134632[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=149471&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=149471&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
1-0.570374-10.7920
20.1849373.49920.000263
3-0.122624-2.32010.010447
40.0590941.11810.132136
5-0.033502-0.63390.263277
60.0692541.31030.09546
7-0.107147-2.02730.021685
80.0606221.1470.126068
90.0129760.24550.403095
10-0.103329-1.95510.025676
110.305775.78540
12-0.435766-8.24510
130.1751253.31350.000508
14-0.026731-0.50580.306661
150.0621931.17670.12004
16-0.063812-1.20740.114043
170.0415470.78610.216165
18-0.078626-1.48770.068859
190.0972791.84060.033254
20-0.042289-0.80010.21208
210.0465390.88060.189572
22-0.050756-0.96040.168762
230.0456760.86420.194021
24-0.094815-1.7940.03683
250.1563812.95890.001647
26-0.105021-1.98710.023837
27-0.009274-0.17550.430401
28-0.003142-0.05940.476316
290.0738131.39660.081697
30-0.054487-1.03090.15163
310.0697691.32010.093824
32-0.095015-1.79780.036528
330.0415440.7860.216181
340.0487410.92220.178517
35-0.060219-1.13940.12765
360.0774181.46480.071923
37-0.146281-2.76780.002969
380.1055251.99660.023311
39-0.020255-0.38320.350886
400.0430180.81390.208113
41-0.100791-1.90710.028657
420.12792.420.008009
43-0.164429-3.11120.001007
440.1257892.380.008917
45-0.087473-1.65510.049394
460.0436310.82550.20481
47-0.064913-1.22820.110086
480.0492470.93180.176035
490.0364730.69010.245288
50-0.001986-0.03760.48502
51-0.033918-0.64180.260721
520.0078810.14910.440771
530.0471190.89150.186619
54-0.085874-1.62480.052541
550.1019991.92990.027204
56-0.043258-0.81850.206812
57-0.005279-0.09990.460243
58-0.019753-0.37380.354405
590.0737781.39590.081798
60-0.058479-1.10650.134632







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
1-0.570374-10.7920
2-0.208086-3.93725e-05
3-0.176429-3.33820.000466
4-0.111244-2.10480.018001
5-0.081384-1.53990.062238
60.027780.52560.299738
7-0.07197-1.36170.087068
8-0.063875-1.20860.113812
90.0278770.52740.299104
10-0.130258-2.46460.007093
110.2897185.48170
12-0.182367-3.45050.000313
13-0.28728-5.43560
14-0.122546-2.31870.010487
15-0.045696-0.86460.193916
16-0.066796-1.26380.103554
17-0.082324-1.55760.060101
18-0.070529-1.33450.091449
19-0.066205-1.25270.105575
20-0.038245-0.72360.234885
210.0885481.67540.047363
22-0.091166-1.72490.042701
230.1891983.57980.000196
24-0.149114-2.82140.002524
25-0.074302-1.40590.080316
26-0.018718-0.35420.361712
27-0.109597-2.07370.019412
28-0.123382-2.33450.010061
29-0.000244-0.00460.498162
30-0.046672-0.88310.188892
310.0380650.72020.23593
32-0.019168-0.36270.358529
330.0557011.05390.146316
340.0420080.79480.213617
350.1878013.55340.000216
360.0175520.33210.370001
37-0.125613-2.37670.008997
380.0080350.1520.439625
39-0.045447-0.85990.195212
40-0.069026-1.3060.096191
41-0.025252-0.47780.316547
420.0489540.92630.17747
43-0.021648-0.40960.341174
44-0.067859-1.2840.099993
45-0.043511-0.82330.205452
46-0.013092-0.24770.402252
470.0041740.0790.468546
48-0.04484-0.84840.198389
49-0.037137-0.70270.24136
500.0424760.80370.211056
51-0.022142-0.41890.337755
52-0.018745-0.35470.361521
530.0606831.14820.125829
54-0.027304-0.51660.302871
550.0072070.13640.445803
560.0461470.87310.191587
57-0.05912-1.11860.132029
58-0.037019-0.70040.242054
590.0245120.46380.321541
60-0.026905-0.50910.30551

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & -0.570374 & -10.792 & 0 \tabularnewline
2 & -0.208086 & -3.9372 & 5e-05 \tabularnewline
3 & -0.176429 & -3.3382 & 0.000466 \tabularnewline
4 & -0.111244 & -2.1048 & 0.018001 \tabularnewline
5 & -0.081384 & -1.5399 & 0.062238 \tabularnewline
6 & 0.02778 & 0.5256 & 0.299738 \tabularnewline
7 & -0.07197 & -1.3617 & 0.087068 \tabularnewline
8 & -0.063875 & -1.2086 & 0.113812 \tabularnewline
9 & 0.027877 & 0.5274 & 0.299104 \tabularnewline
10 & -0.130258 & -2.4646 & 0.007093 \tabularnewline
11 & 0.289718 & 5.4817 & 0 \tabularnewline
12 & -0.182367 & -3.4505 & 0.000313 \tabularnewline
13 & -0.28728 & -5.4356 & 0 \tabularnewline
14 & -0.122546 & -2.3187 & 0.010487 \tabularnewline
15 & -0.045696 & -0.8646 & 0.193916 \tabularnewline
16 & -0.066796 & -1.2638 & 0.103554 \tabularnewline
17 & -0.082324 & -1.5576 & 0.060101 \tabularnewline
18 & -0.070529 & -1.3345 & 0.091449 \tabularnewline
19 & -0.066205 & -1.2527 & 0.105575 \tabularnewline
20 & -0.038245 & -0.7236 & 0.234885 \tabularnewline
21 & 0.088548 & 1.6754 & 0.047363 \tabularnewline
22 & -0.091166 & -1.7249 & 0.042701 \tabularnewline
23 & 0.189198 & 3.5798 & 0.000196 \tabularnewline
24 & -0.149114 & -2.8214 & 0.002524 \tabularnewline
25 & -0.074302 & -1.4059 & 0.080316 \tabularnewline
26 & -0.018718 & -0.3542 & 0.361712 \tabularnewline
27 & -0.109597 & -2.0737 & 0.019412 \tabularnewline
28 & -0.123382 & -2.3345 & 0.010061 \tabularnewline
29 & -0.000244 & -0.0046 & 0.498162 \tabularnewline
30 & -0.046672 & -0.8831 & 0.188892 \tabularnewline
31 & 0.038065 & 0.7202 & 0.23593 \tabularnewline
32 & -0.019168 & -0.3627 & 0.358529 \tabularnewline
33 & 0.055701 & 1.0539 & 0.146316 \tabularnewline
34 & 0.042008 & 0.7948 & 0.213617 \tabularnewline
35 & 0.187801 & 3.5534 & 0.000216 \tabularnewline
36 & 0.017552 & 0.3321 & 0.370001 \tabularnewline
37 & -0.125613 & -2.3767 & 0.008997 \tabularnewline
38 & 0.008035 & 0.152 & 0.439625 \tabularnewline
39 & -0.045447 & -0.8599 & 0.195212 \tabularnewline
40 & -0.069026 & -1.306 & 0.096191 \tabularnewline
41 & -0.025252 & -0.4778 & 0.316547 \tabularnewline
42 & 0.048954 & 0.9263 & 0.17747 \tabularnewline
43 & -0.021648 & -0.4096 & 0.341174 \tabularnewline
44 & -0.067859 & -1.284 & 0.099993 \tabularnewline
45 & -0.043511 & -0.8233 & 0.205452 \tabularnewline
46 & -0.013092 & -0.2477 & 0.402252 \tabularnewline
47 & 0.004174 & 0.079 & 0.468546 \tabularnewline
48 & -0.04484 & -0.8484 & 0.198389 \tabularnewline
49 & -0.037137 & -0.7027 & 0.24136 \tabularnewline
50 & 0.042476 & 0.8037 & 0.211056 \tabularnewline
51 & -0.022142 & -0.4189 & 0.337755 \tabularnewline
52 & -0.018745 & -0.3547 & 0.361521 \tabularnewline
53 & 0.060683 & 1.1482 & 0.125829 \tabularnewline
54 & -0.027304 & -0.5166 & 0.302871 \tabularnewline
55 & 0.007207 & 0.1364 & 0.445803 \tabularnewline
56 & 0.046147 & 0.8731 & 0.191587 \tabularnewline
57 & -0.05912 & -1.1186 & 0.132029 \tabularnewline
58 & -0.037019 & -0.7004 & 0.242054 \tabularnewline
59 & 0.024512 & 0.4638 & 0.321541 \tabularnewline
60 & -0.026905 & -0.5091 & 0.30551 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=149471&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]-0.570374[/C][C]-10.792[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]-0.208086[/C][C]-3.9372[/C][C]5e-05[/C][/ROW]
[ROW][C]3[/C][C]-0.176429[/C][C]-3.3382[/C][C]0.000466[/C][/ROW]
[ROW][C]4[/C][C]-0.111244[/C][C]-2.1048[/C][C]0.018001[/C][/ROW]
[ROW][C]5[/C][C]-0.081384[/C][C]-1.5399[/C][C]0.062238[/C][/ROW]
[ROW][C]6[/C][C]0.02778[/C][C]0.5256[/C][C]0.299738[/C][/ROW]
[ROW][C]7[/C][C]-0.07197[/C][C]-1.3617[/C][C]0.087068[/C][/ROW]
[ROW][C]8[/C][C]-0.063875[/C][C]-1.2086[/C][C]0.113812[/C][/ROW]
[ROW][C]9[/C][C]0.027877[/C][C]0.5274[/C][C]0.299104[/C][/ROW]
[ROW][C]10[/C][C]-0.130258[/C][C]-2.4646[/C][C]0.007093[/C][/ROW]
[ROW][C]11[/C][C]0.289718[/C][C]5.4817[/C][C]0[/C][/ROW]
[ROW][C]12[/C][C]-0.182367[/C][C]-3.4505[/C][C]0.000313[/C][/ROW]
[ROW][C]13[/C][C]-0.28728[/C][C]-5.4356[/C][C]0[/C][/ROW]
[ROW][C]14[/C][C]-0.122546[/C][C]-2.3187[/C][C]0.010487[/C][/ROW]
[ROW][C]15[/C][C]-0.045696[/C][C]-0.8646[/C][C]0.193916[/C][/ROW]
[ROW][C]16[/C][C]-0.066796[/C][C]-1.2638[/C][C]0.103554[/C][/ROW]
[ROW][C]17[/C][C]-0.082324[/C][C]-1.5576[/C][C]0.060101[/C][/ROW]
[ROW][C]18[/C][C]-0.070529[/C][C]-1.3345[/C][C]0.091449[/C][/ROW]
[ROW][C]19[/C][C]-0.066205[/C][C]-1.2527[/C][C]0.105575[/C][/ROW]
[ROW][C]20[/C][C]-0.038245[/C][C]-0.7236[/C][C]0.234885[/C][/ROW]
[ROW][C]21[/C][C]0.088548[/C][C]1.6754[/C][C]0.047363[/C][/ROW]
[ROW][C]22[/C][C]-0.091166[/C][C]-1.7249[/C][C]0.042701[/C][/ROW]
[ROW][C]23[/C][C]0.189198[/C][C]3.5798[/C][C]0.000196[/C][/ROW]
[ROW][C]24[/C][C]-0.149114[/C][C]-2.8214[/C][C]0.002524[/C][/ROW]
[ROW][C]25[/C][C]-0.074302[/C][C]-1.4059[/C][C]0.080316[/C][/ROW]
[ROW][C]26[/C][C]-0.018718[/C][C]-0.3542[/C][C]0.361712[/C][/ROW]
[ROW][C]27[/C][C]-0.109597[/C][C]-2.0737[/C][C]0.019412[/C][/ROW]
[ROW][C]28[/C][C]-0.123382[/C][C]-2.3345[/C][C]0.010061[/C][/ROW]
[ROW][C]29[/C][C]-0.000244[/C][C]-0.0046[/C][C]0.498162[/C][/ROW]
[ROW][C]30[/C][C]-0.046672[/C][C]-0.8831[/C][C]0.188892[/C][/ROW]
[ROW][C]31[/C][C]0.038065[/C][C]0.7202[/C][C]0.23593[/C][/ROW]
[ROW][C]32[/C][C]-0.019168[/C][C]-0.3627[/C][C]0.358529[/C][/ROW]
[ROW][C]33[/C][C]0.055701[/C][C]1.0539[/C][C]0.146316[/C][/ROW]
[ROW][C]34[/C][C]0.042008[/C][C]0.7948[/C][C]0.213617[/C][/ROW]
[ROW][C]35[/C][C]0.187801[/C][C]3.5534[/C][C]0.000216[/C][/ROW]
[ROW][C]36[/C][C]0.017552[/C][C]0.3321[/C][C]0.370001[/C][/ROW]
[ROW][C]37[/C][C]-0.125613[/C][C]-2.3767[/C][C]0.008997[/C][/ROW]
[ROW][C]38[/C][C]0.008035[/C][C]0.152[/C][C]0.439625[/C][/ROW]
[ROW][C]39[/C][C]-0.045447[/C][C]-0.8599[/C][C]0.195212[/C][/ROW]
[ROW][C]40[/C][C]-0.069026[/C][C]-1.306[/C][C]0.096191[/C][/ROW]
[ROW][C]41[/C][C]-0.025252[/C][C]-0.4778[/C][C]0.316547[/C][/ROW]
[ROW][C]42[/C][C]0.048954[/C][C]0.9263[/C][C]0.17747[/C][/ROW]
[ROW][C]43[/C][C]-0.021648[/C][C]-0.4096[/C][C]0.341174[/C][/ROW]
[ROW][C]44[/C][C]-0.067859[/C][C]-1.284[/C][C]0.099993[/C][/ROW]
[ROW][C]45[/C][C]-0.043511[/C][C]-0.8233[/C][C]0.205452[/C][/ROW]
[ROW][C]46[/C][C]-0.013092[/C][C]-0.2477[/C][C]0.402252[/C][/ROW]
[ROW][C]47[/C][C]0.004174[/C][C]0.079[/C][C]0.468546[/C][/ROW]
[ROW][C]48[/C][C]-0.04484[/C][C]-0.8484[/C][C]0.198389[/C][/ROW]
[ROW][C]49[/C][C]-0.037137[/C][C]-0.7027[/C][C]0.24136[/C][/ROW]
[ROW][C]50[/C][C]0.042476[/C][C]0.8037[/C][C]0.211056[/C][/ROW]
[ROW][C]51[/C][C]-0.022142[/C][C]-0.4189[/C][C]0.337755[/C][/ROW]
[ROW][C]52[/C][C]-0.018745[/C][C]-0.3547[/C][C]0.361521[/C][/ROW]
[ROW][C]53[/C][C]0.060683[/C][C]1.1482[/C][C]0.125829[/C][/ROW]
[ROW][C]54[/C][C]-0.027304[/C][C]-0.5166[/C][C]0.302871[/C][/ROW]
[ROW][C]55[/C][C]0.007207[/C][C]0.1364[/C][C]0.445803[/C][/ROW]
[ROW][C]56[/C][C]0.046147[/C][C]0.8731[/C][C]0.191587[/C][/ROW]
[ROW][C]57[/C][C]-0.05912[/C][C]-1.1186[/C][C]0.132029[/C][/ROW]
[ROW][C]58[/C][C]-0.037019[/C][C]-0.7004[/C][C]0.242054[/C][/ROW]
[ROW][C]59[/C][C]0.024512[/C][C]0.4638[/C][C]0.321541[/C][/ROW]
[ROW][C]60[/C][C]-0.026905[/C][C]-0.5091[/C][C]0.30551[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=149471&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=149471&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
1-0.570374-10.7920
2-0.208086-3.93725e-05
3-0.176429-3.33820.000466
4-0.111244-2.10480.018001
5-0.081384-1.53990.062238
60.027780.52560.299738
7-0.07197-1.36170.087068
8-0.063875-1.20860.113812
90.0278770.52740.299104
10-0.130258-2.46460.007093
110.2897185.48170
12-0.182367-3.45050.000313
13-0.28728-5.43560
14-0.122546-2.31870.010487
15-0.045696-0.86460.193916
16-0.066796-1.26380.103554
17-0.082324-1.55760.060101
18-0.070529-1.33450.091449
19-0.066205-1.25270.105575
20-0.038245-0.72360.234885
210.0885481.67540.047363
22-0.091166-1.72490.042701
230.1891983.57980.000196
24-0.149114-2.82140.002524
25-0.074302-1.40590.080316
26-0.018718-0.35420.361712
27-0.109597-2.07370.019412
28-0.123382-2.33450.010061
29-0.000244-0.00460.498162
30-0.046672-0.88310.188892
310.0380650.72020.23593
32-0.019168-0.36270.358529
330.0557011.05390.146316
340.0420080.79480.213617
350.1878013.55340.000216
360.0175520.33210.370001
37-0.125613-2.37670.008997
380.0080350.1520.439625
39-0.045447-0.85990.195212
40-0.069026-1.3060.096191
41-0.025252-0.47780.316547
420.0489540.92630.17747
43-0.021648-0.40960.341174
44-0.067859-1.2840.099993
45-0.043511-0.82330.205452
46-0.013092-0.24770.402252
470.0041740.0790.468546
48-0.04484-0.84840.198389
49-0.037137-0.70270.24136
500.0424760.80370.211056
51-0.022142-0.41890.337755
52-0.018745-0.35470.361521
530.0606831.14820.125829
54-0.027304-0.51660.302871
550.0072070.13640.445803
560.0461470.87310.191587
57-0.05912-1.11860.132029
58-0.037019-0.70040.242054
590.0245120.46380.321541
60-0.026905-0.50910.30551



Parameters (Session):
par1 = 60 ; par2 = 1 ; par3 = 2 ; par4 = 1 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ;
Parameters (R input):
par1 = 60 ; par2 = 1 ; par3 = 2 ; par4 = 1 ; 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')