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Author's title

(Partial) Autocorrelation voor het aantal faillissementen in het Vlaamse Ge...

Author*The author of this computation has been verified*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationFri, 12 Dec 2008 02:41:51 -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/12/t1229074964h8825oy7drap99w.htm/, Retrieved Fri, 17 May 2024 19:09:32 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=32503, Retrieved Fri, 17 May 2024 19:09:32 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact259
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [(Partial) Autocorrelation Function] [(Partial) Autocor...] [2008-12-11 14:56:15] [87cabf13a90315c7085b765dcebb7412]
-   P   [(Partial) Autocorrelation Function] [(Partial) Autocor...] [2008-12-11 15:06:01] [87cabf13a90315c7085b765dcebb7412]
-   PD    [(Partial) Autocorrelation Function] [(Partial) Autocor...] [2008-12-11 15:23:01] [87cabf13a90315c7085b765dcebb7412]
-   P         [(Partial) Autocorrelation Function] [(Partial) Autocor...] [2008-12-12 09:41:51] [6fc58909ffe15c247a4f6748c8841ab4] [Current]
-   P           [(Partial) Autocorrelation Function] [(Partial) Autocor...] [2008-12-12 09:46:16] [87cabf13a90315c7085b765dcebb7412]
- RMPD          [Spectral Analysis] [Spectral Analysis...] [2008-12-12 09:54:07] [87cabf13a90315c7085b765dcebb7412]
-   P             [Spectral Analysis] [Spectral Analysis...] [2008-12-12 10:06:12] [87cabf13a90315c7085b765dcebb7412]
-   P               [Spectral Analysis] [Spectral Analysis...] [2008-12-12 10:11:50] [87cabf13a90315c7085b765dcebb7412]
-   PD                [Spectral Analysis] [Spectral Analysis...] [2008-12-12 10:22:03] [87cabf13a90315c7085b765dcebb7412]
-   P                   [Spectral Analysis] [Spectral Analysis...] [2008-12-12 10:29:35] [87cabf13a90315c7085b765dcebb7412]
-    D          [(Partial) Autocorrelation Function] [autocorrelation < 20] [2008-12-18 14:35:59] [631938996a408f8d8cf3d9850ca0cd03]
-   PD          [(Partial) Autocorrelation Function] [autocorrelation <...] [2008-12-18 14:42:48] [631938996a408f8d8cf3d9850ca0cd03]
-   PD          [(Partial) Autocorrelation Function] [autocorrelation <...] [2008-12-18 14:46:54] [631938996a408f8d8cf3d9850ca0cd03]
-   PD          [(Partial) Autocorrelation Function] [autocorrelation 2...] [2008-12-18 15:08:48] [631938996a408f8d8cf3d9850ca0cd03]
-   PD          [(Partial) Autocorrelation Function] [autocorrelation 2...] [2008-12-18 15:13:35] [631938996a408f8d8cf3d9850ca0cd03]
-                 [(Partial) Autocorrelation Function] [autocorrelation 2...] [2008-12-18 15:18:37] [631938996a408f8d8cf3d9850ca0cd03]
- RM D            [Central Tendency] [central tendency ...] [2008-12-18 15:43:24] [631938996a408f8d8cf3d9850ca0cd03]
-    D              [Central Tendency] [central tendency ...] [2008-12-18 15:52:59] [631938996a408f8d8cf3d9850ca0cd03]
- RM                [Mean Plot] [mean plot tijdree...] [2008-12-18 16:03:30] [631938996a408f8d8cf3d9850ca0cd03]
-    D                [Mean Plot] [mean plot tijdree...] [2008-12-18 16:10:04] [631938996a408f8d8cf3d9850ca0cd03]
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Dataseries X:
293
301
362
330
328
405
232
159
336
361
329
339
290
328
375
294
340
364
248
145
380
305
291
319
334
318
362
296
300
342
215
185
343
333
316
252
320
324
343
295
301
367
196
182
342
361
334
330
345
323
366
323
316
358
235
169
430
409
407
341
326
374
364
349
300
385
304
196
443
414
325
388
356
386
444
387
327
448
225
182
460
411
342
361
377
331
428
340
352
461
221
198
422
329
320
375
364
351
380
319
322
386
221
187
344
342
365
313
356
337
389
326
343
357
220
218
391
425
332
298




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 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 & 3 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=32503&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 Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=32503&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=32503&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 Ronald Aylmer Fisher' @ 193.190.124.24







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.1199881.31440.095609
2-0.274193-3.00360.001624
30.1569361.71920.044083
40.0078280.08570.465905
5-0.065144-0.71360.238425
60.1215381.33140.092794
7-0.051346-0.56250.287425
80.0283990.31110.378135
90.1656321.81440.036057
10-0.242999-2.66190.004417
110.1350331.47920.070851
120.7820158.56650
130.0494530.54170.294503
14-0.261568-2.86530.00246
150.141241.54720.062223
160.00120.01310.494766
17-0.085836-0.94030.174479
180.0678470.74320.229397
19-0.089153-0.97660.16536
200.0048180.05280.478997
210.1098331.20320.115642
22-0.26036-2.85210.002558
230.0843390.92390.178699
240.626646.86450
250.0140390.15380.439016
26-0.285248-3.12470.001116
270.0383890.42050.337423
28-0.016442-0.18010.428683
29-0.104209-1.14160.127956
300.0108790.11920.452668
31-0.091813-1.00580.158277
32-0.037746-0.41350.339994
330.0107030.11720.453433
34-0.269722-2.95470.001884
350.0410280.44940.326962
360.5122255.61110
37-0.019257-0.2110.416641
38-0.284988-3.12190.001126
39-0.009274-0.10160.459626
40-0.049339-0.54050.294933
41-0.13098-1.43480.07697
42-0.013731-0.15040.440346
43-0.070457-0.77180.22087
44-0.075216-0.8240.205801
45-0.023242-0.25460.399731
46-0.252874-2.77010.003248
470.004380.0480.480907
480.4179854.57886e-06
49-0.031612-0.34630.364867
50-0.260081-2.8490.002581
51-0.004581-0.05020.48003
52-0.038017-0.41650.33891
53-0.123454-1.35240.0894
54-0.023105-0.25310.400311
55-0.075446-0.82650.205089
56-0.080796-0.88510.188943
57-0.019252-0.21090.416665
58-0.185396-2.03090.022237
590.0185470.20320.419671
600.3608533.95296.5e-05

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.119988 & 1.3144 & 0.095609 \tabularnewline
2 & -0.274193 & -3.0036 & 0.001624 \tabularnewline
3 & 0.156936 & 1.7192 & 0.044083 \tabularnewline
4 & 0.007828 & 0.0857 & 0.465905 \tabularnewline
5 & -0.065144 & -0.7136 & 0.238425 \tabularnewline
6 & 0.121538 & 1.3314 & 0.092794 \tabularnewline
7 & -0.051346 & -0.5625 & 0.287425 \tabularnewline
8 & 0.028399 & 0.3111 & 0.378135 \tabularnewline
9 & 0.165632 & 1.8144 & 0.036057 \tabularnewline
10 & -0.242999 & -2.6619 & 0.004417 \tabularnewline
11 & 0.135033 & 1.4792 & 0.070851 \tabularnewline
12 & 0.782015 & 8.5665 & 0 \tabularnewline
13 & 0.049453 & 0.5417 & 0.294503 \tabularnewline
14 & -0.261568 & -2.8653 & 0.00246 \tabularnewline
15 & 0.14124 & 1.5472 & 0.062223 \tabularnewline
16 & 0.0012 & 0.0131 & 0.494766 \tabularnewline
17 & -0.085836 & -0.9403 & 0.174479 \tabularnewline
18 & 0.067847 & 0.7432 & 0.229397 \tabularnewline
19 & -0.089153 & -0.9766 & 0.16536 \tabularnewline
20 & 0.004818 & 0.0528 & 0.478997 \tabularnewline
21 & 0.109833 & 1.2032 & 0.115642 \tabularnewline
22 & -0.26036 & -2.8521 & 0.002558 \tabularnewline
23 & 0.084339 & 0.9239 & 0.178699 \tabularnewline
24 & 0.62664 & 6.8645 & 0 \tabularnewline
25 & 0.014039 & 0.1538 & 0.439016 \tabularnewline
26 & -0.285248 & -3.1247 & 0.001116 \tabularnewline
27 & 0.038389 & 0.4205 & 0.337423 \tabularnewline
28 & -0.016442 & -0.1801 & 0.428683 \tabularnewline
29 & -0.104209 & -1.1416 & 0.127956 \tabularnewline
30 & 0.010879 & 0.1192 & 0.452668 \tabularnewline
31 & -0.091813 & -1.0058 & 0.158277 \tabularnewline
32 & -0.037746 & -0.4135 & 0.339994 \tabularnewline
33 & 0.010703 & 0.1172 & 0.453433 \tabularnewline
34 & -0.269722 & -2.9547 & 0.001884 \tabularnewline
35 & 0.041028 & 0.4494 & 0.326962 \tabularnewline
36 & 0.512225 & 5.6111 & 0 \tabularnewline
37 & -0.019257 & -0.211 & 0.416641 \tabularnewline
38 & -0.284988 & -3.1219 & 0.001126 \tabularnewline
39 & -0.009274 & -0.1016 & 0.459626 \tabularnewline
40 & -0.049339 & -0.5405 & 0.294933 \tabularnewline
41 & -0.13098 & -1.4348 & 0.07697 \tabularnewline
42 & -0.013731 & -0.1504 & 0.440346 \tabularnewline
43 & -0.070457 & -0.7718 & 0.22087 \tabularnewline
44 & -0.075216 & -0.824 & 0.205801 \tabularnewline
45 & -0.023242 & -0.2546 & 0.399731 \tabularnewline
46 & -0.252874 & -2.7701 & 0.003248 \tabularnewline
47 & 0.00438 & 0.048 & 0.480907 \tabularnewline
48 & 0.417985 & 4.5788 & 6e-06 \tabularnewline
49 & -0.031612 & -0.3463 & 0.364867 \tabularnewline
50 & -0.260081 & -2.849 & 0.002581 \tabularnewline
51 & -0.004581 & -0.0502 & 0.48003 \tabularnewline
52 & -0.038017 & -0.4165 & 0.33891 \tabularnewline
53 & -0.123454 & -1.3524 & 0.0894 \tabularnewline
54 & -0.023105 & -0.2531 & 0.400311 \tabularnewline
55 & -0.075446 & -0.8265 & 0.205089 \tabularnewline
56 & -0.080796 & -0.8851 & 0.188943 \tabularnewline
57 & -0.019252 & -0.2109 & 0.416665 \tabularnewline
58 & -0.185396 & -2.0309 & 0.022237 \tabularnewline
59 & 0.018547 & 0.2032 & 0.419671 \tabularnewline
60 & 0.360853 & 3.9529 & 6.5e-05 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=32503&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]0.119988[/C][C]1.3144[/C][C]0.095609[/C][/ROW]
[ROW][C]2[/C][C]-0.274193[/C][C]-3.0036[/C][C]0.001624[/C][/ROW]
[ROW][C]3[/C][C]0.156936[/C][C]1.7192[/C][C]0.044083[/C][/ROW]
[ROW][C]4[/C][C]0.007828[/C][C]0.0857[/C][C]0.465905[/C][/ROW]
[ROW][C]5[/C][C]-0.065144[/C][C]-0.7136[/C][C]0.238425[/C][/ROW]
[ROW][C]6[/C][C]0.121538[/C][C]1.3314[/C][C]0.092794[/C][/ROW]
[ROW][C]7[/C][C]-0.051346[/C][C]-0.5625[/C][C]0.287425[/C][/ROW]
[ROW][C]8[/C][C]0.028399[/C][C]0.3111[/C][C]0.378135[/C][/ROW]
[ROW][C]9[/C][C]0.165632[/C][C]1.8144[/C][C]0.036057[/C][/ROW]
[ROW][C]10[/C][C]-0.242999[/C][C]-2.6619[/C][C]0.004417[/C][/ROW]
[ROW][C]11[/C][C]0.135033[/C][C]1.4792[/C][C]0.070851[/C][/ROW]
[ROW][C]12[/C][C]0.782015[/C][C]8.5665[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]0.049453[/C][C]0.5417[/C][C]0.294503[/C][/ROW]
[ROW][C]14[/C][C]-0.261568[/C][C]-2.8653[/C][C]0.00246[/C][/ROW]
[ROW][C]15[/C][C]0.14124[/C][C]1.5472[/C][C]0.062223[/C][/ROW]
[ROW][C]16[/C][C]0.0012[/C][C]0.0131[/C][C]0.494766[/C][/ROW]
[ROW][C]17[/C][C]-0.085836[/C][C]-0.9403[/C][C]0.174479[/C][/ROW]
[ROW][C]18[/C][C]0.067847[/C][C]0.7432[/C][C]0.229397[/C][/ROW]
[ROW][C]19[/C][C]-0.089153[/C][C]-0.9766[/C][C]0.16536[/C][/ROW]
[ROW][C]20[/C][C]0.004818[/C][C]0.0528[/C][C]0.478997[/C][/ROW]
[ROW][C]21[/C][C]0.109833[/C][C]1.2032[/C][C]0.115642[/C][/ROW]
[ROW][C]22[/C][C]-0.26036[/C][C]-2.8521[/C][C]0.002558[/C][/ROW]
[ROW][C]23[/C][C]0.084339[/C][C]0.9239[/C][C]0.178699[/C][/ROW]
[ROW][C]24[/C][C]0.62664[/C][C]6.8645[/C][C]0[/C][/ROW]
[ROW][C]25[/C][C]0.014039[/C][C]0.1538[/C][C]0.439016[/C][/ROW]
[ROW][C]26[/C][C]-0.285248[/C][C]-3.1247[/C][C]0.001116[/C][/ROW]
[ROW][C]27[/C][C]0.038389[/C][C]0.4205[/C][C]0.337423[/C][/ROW]
[ROW][C]28[/C][C]-0.016442[/C][C]-0.1801[/C][C]0.428683[/C][/ROW]
[ROW][C]29[/C][C]-0.104209[/C][C]-1.1416[/C][C]0.127956[/C][/ROW]
[ROW][C]30[/C][C]0.010879[/C][C]0.1192[/C][C]0.452668[/C][/ROW]
[ROW][C]31[/C][C]-0.091813[/C][C]-1.0058[/C][C]0.158277[/C][/ROW]
[ROW][C]32[/C][C]-0.037746[/C][C]-0.4135[/C][C]0.339994[/C][/ROW]
[ROW][C]33[/C][C]0.010703[/C][C]0.1172[/C][C]0.453433[/C][/ROW]
[ROW][C]34[/C][C]-0.269722[/C][C]-2.9547[/C][C]0.001884[/C][/ROW]
[ROW][C]35[/C][C]0.041028[/C][C]0.4494[/C][C]0.326962[/C][/ROW]
[ROW][C]36[/C][C]0.512225[/C][C]5.6111[/C][C]0[/C][/ROW]
[ROW][C]37[/C][C]-0.019257[/C][C]-0.211[/C][C]0.416641[/C][/ROW]
[ROW][C]38[/C][C]-0.284988[/C][C]-3.1219[/C][C]0.001126[/C][/ROW]
[ROW][C]39[/C][C]-0.009274[/C][C]-0.1016[/C][C]0.459626[/C][/ROW]
[ROW][C]40[/C][C]-0.049339[/C][C]-0.5405[/C][C]0.294933[/C][/ROW]
[ROW][C]41[/C][C]-0.13098[/C][C]-1.4348[/C][C]0.07697[/C][/ROW]
[ROW][C]42[/C][C]-0.013731[/C][C]-0.1504[/C][C]0.440346[/C][/ROW]
[ROW][C]43[/C][C]-0.070457[/C][C]-0.7718[/C][C]0.22087[/C][/ROW]
[ROW][C]44[/C][C]-0.075216[/C][C]-0.824[/C][C]0.205801[/C][/ROW]
[ROW][C]45[/C][C]-0.023242[/C][C]-0.2546[/C][C]0.399731[/C][/ROW]
[ROW][C]46[/C][C]-0.252874[/C][C]-2.7701[/C][C]0.003248[/C][/ROW]
[ROW][C]47[/C][C]0.00438[/C][C]0.048[/C][C]0.480907[/C][/ROW]
[ROW][C]48[/C][C]0.417985[/C][C]4.5788[/C][C]6e-06[/C][/ROW]
[ROW][C]49[/C][C]-0.031612[/C][C]-0.3463[/C][C]0.364867[/C][/ROW]
[ROW][C]50[/C][C]-0.260081[/C][C]-2.849[/C][C]0.002581[/C][/ROW]
[ROW][C]51[/C][C]-0.004581[/C][C]-0.0502[/C][C]0.48003[/C][/ROW]
[ROW][C]52[/C][C]-0.038017[/C][C]-0.4165[/C][C]0.33891[/C][/ROW]
[ROW][C]53[/C][C]-0.123454[/C][C]-1.3524[/C][C]0.0894[/C][/ROW]
[ROW][C]54[/C][C]-0.023105[/C][C]-0.2531[/C][C]0.400311[/C][/ROW]
[ROW][C]55[/C][C]-0.075446[/C][C]-0.8265[/C][C]0.205089[/C][/ROW]
[ROW][C]56[/C][C]-0.080796[/C][C]-0.8851[/C][C]0.188943[/C][/ROW]
[ROW][C]57[/C][C]-0.019252[/C][C]-0.2109[/C][C]0.416665[/C][/ROW]
[ROW][C]58[/C][C]-0.185396[/C][C]-2.0309[/C][C]0.022237[/C][/ROW]
[ROW][C]59[/C][C]0.018547[/C][C]0.2032[/C][C]0.419671[/C][/ROW]
[ROW][C]60[/C][C]0.360853[/C][C]3.9529[/C][C]6.5e-05[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=32503&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=32503&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
10.1199881.31440.095609
2-0.274193-3.00360.001624
30.1569361.71920.044083
40.0078280.08570.465905
5-0.065144-0.71360.238425
60.1215381.33140.092794
7-0.051346-0.56250.287425
80.0283990.31110.378135
90.1656321.81440.036057
10-0.242999-2.66190.004417
110.1350331.47920.070851
120.7820158.56650
130.0494530.54170.294503
14-0.261568-2.86530.00246
150.141241.54720.062223
160.00120.01310.494766
17-0.085836-0.94030.174479
180.0678470.74320.229397
19-0.089153-0.97660.16536
200.0048180.05280.478997
210.1098331.20320.115642
22-0.26036-2.85210.002558
230.0843390.92390.178699
240.626646.86450
250.0140390.15380.439016
26-0.285248-3.12470.001116
270.0383890.42050.337423
28-0.016442-0.18010.428683
29-0.104209-1.14160.127956
300.0108790.11920.452668
31-0.091813-1.00580.158277
32-0.037746-0.41350.339994
330.0107030.11720.453433
34-0.269722-2.95470.001884
350.0410280.44940.326962
360.5122255.61110
37-0.019257-0.2110.416641
38-0.284988-3.12190.001126
39-0.009274-0.10160.459626
40-0.049339-0.54050.294933
41-0.13098-1.43480.07697
42-0.013731-0.15040.440346
43-0.070457-0.77180.22087
44-0.075216-0.8240.205801
45-0.023242-0.25460.399731
46-0.252874-2.77010.003248
470.004380.0480.480907
480.4179854.57886e-06
49-0.031612-0.34630.364867
50-0.260081-2.8490.002581
51-0.004581-0.05020.48003
52-0.038017-0.41650.33891
53-0.123454-1.35240.0894
54-0.023105-0.25310.400311
55-0.075446-0.82650.205089
56-0.080796-0.88510.188943
57-0.019252-0.21090.416665
58-0.185396-2.03090.022237
590.0185470.20320.419671
600.3608533.95296.5e-05







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.1199881.31440.095609
2-0.292805-3.20750.000858
30.2603512.8520.002559
4-0.179849-1.97020.025562
50.1214831.33080.092893
60.0204880.22440.411401
7-0.070692-0.77440.220112
80.1553461.70170.045698
90.0246440.270.393826
10-0.24598-2.69460.004029
110.4223624.62675e-06
120.6405347.01670
13-0.066239-0.72560.234744
140.0215510.23610.406885
15-0.017332-0.18990.424871
160.0196580.21530.414931
17-0.063577-0.69650.243745
18-0.117087-1.28260.101048
19-0.110062-1.20570.115158
20-0.105383-1.15440.125312
21-0.126612-1.3870.084011
22-0.14784-1.61950.053981
23-0.137318-1.50420.067573
240.0296170.32440.373087
250.0242050.26510.395675
26-0.097809-1.07140.14306
27-0.186325-2.04110.021718
280.0519460.5690.285198
29-0.020516-0.22470.41128
300.0150020.16430.434872
310.0506850.55520.289885
32-0.057883-0.63410.26362
33-0.071027-0.77810.219033
340.0071320.07810.46893
35-0.033383-0.36570.357619
360.0797140.87320.192143
37-0.036541-0.40030.344828
380.1060651.16190.123794
39-0.01204-0.13190.447647
40-0.062289-0.68230.248168
41-0.007433-0.08140.46762
420.0641790.7030.241694
430.0599320.65650.256373
44-0.047098-0.51590.303423
450.0357010.39110.348214
46-0.044828-0.49110.312138
47-0.025865-0.28330.388704
480.0010210.01120.495549
49-0.056923-0.62360.267052
500.0400480.43870.330834
510.0329180.36060.359516
520.0094130.10310.459022
53-0.003113-0.03410.486426
54-0.066837-0.73220.232749
55-0.010819-0.11850.452929
56-0.009135-0.10010.460228
57-0.00061-0.00670.497339
580.1005921.10190.136348
59-0.013478-0.14760.441435
600.0014830.01620.493534

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.119988 & 1.3144 & 0.095609 \tabularnewline
2 & -0.292805 & -3.2075 & 0.000858 \tabularnewline
3 & 0.260351 & 2.852 & 0.002559 \tabularnewline
4 & -0.179849 & -1.9702 & 0.025562 \tabularnewline
5 & 0.121483 & 1.3308 & 0.092893 \tabularnewline
6 & 0.020488 & 0.2244 & 0.411401 \tabularnewline
7 & -0.070692 & -0.7744 & 0.220112 \tabularnewline
8 & 0.155346 & 1.7017 & 0.045698 \tabularnewline
9 & 0.024644 & 0.27 & 0.393826 \tabularnewline
10 & -0.24598 & -2.6946 & 0.004029 \tabularnewline
11 & 0.422362 & 4.6267 & 5e-06 \tabularnewline
12 & 0.640534 & 7.0167 & 0 \tabularnewline
13 & -0.066239 & -0.7256 & 0.234744 \tabularnewline
14 & 0.021551 & 0.2361 & 0.406885 \tabularnewline
15 & -0.017332 & -0.1899 & 0.424871 \tabularnewline
16 & 0.019658 & 0.2153 & 0.414931 \tabularnewline
17 & -0.063577 & -0.6965 & 0.243745 \tabularnewline
18 & -0.117087 & -1.2826 & 0.101048 \tabularnewline
19 & -0.110062 & -1.2057 & 0.115158 \tabularnewline
20 & -0.105383 & -1.1544 & 0.125312 \tabularnewline
21 & -0.126612 & -1.387 & 0.084011 \tabularnewline
22 & -0.14784 & -1.6195 & 0.053981 \tabularnewline
23 & -0.137318 & -1.5042 & 0.067573 \tabularnewline
24 & 0.029617 & 0.3244 & 0.373087 \tabularnewline
25 & 0.024205 & 0.2651 & 0.395675 \tabularnewline
26 & -0.097809 & -1.0714 & 0.14306 \tabularnewline
27 & -0.186325 & -2.0411 & 0.021718 \tabularnewline
28 & 0.051946 & 0.569 & 0.285198 \tabularnewline
29 & -0.020516 & -0.2247 & 0.41128 \tabularnewline
30 & 0.015002 & 0.1643 & 0.434872 \tabularnewline
31 & 0.050685 & 0.5552 & 0.289885 \tabularnewline
32 & -0.057883 & -0.6341 & 0.26362 \tabularnewline
33 & -0.071027 & -0.7781 & 0.219033 \tabularnewline
34 & 0.007132 & 0.0781 & 0.46893 \tabularnewline
35 & -0.033383 & -0.3657 & 0.357619 \tabularnewline
36 & 0.079714 & 0.8732 & 0.192143 \tabularnewline
37 & -0.036541 & -0.4003 & 0.344828 \tabularnewline
38 & 0.106065 & 1.1619 & 0.123794 \tabularnewline
39 & -0.01204 & -0.1319 & 0.447647 \tabularnewline
40 & -0.062289 & -0.6823 & 0.248168 \tabularnewline
41 & -0.007433 & -0.0814 & 0.46762 \tabularnewline
42 & 0.064179 & 0.703 & 0.241694 \tabularnewline
43 & 0.059932 & 0.6565 & 0.256373 \tabularnewline
44 & -0.047098 & -0.5159 & 0.303423 \tabularnewline
45 & 0.035701 & 0.3911 & 0.348214 \tabularnewline
46 & -0.044828 & -0.4911 & 0.312138 \tabularnewline
47 & -0.025865 & -0.2833 & 0.388704 \tabularnewline
48 & 0.001021 & 0.0112 & 0.495549 \tabularnewline
49 & -0.056923 & -0.6236 & 0.267052 \tabularnewline
50 & 0.040048 & 0.4387 & 0.330834 \tabularnewline
51 & 0.032918 & 0.3606 & 0.359516 \tabularnewline
52 & 0.009413 & 0.1031 & 0.459022 \tabularnewline
53 & -0.003113 & -0.0341 & 0.486426 \tabularnewline
54 & -0.066837 & -0.7322 & 0.232749 \tabularnewline
55 & -0.010819 & -0.1185 & 0.452929 \tabularnewline
56 & -0.009135 & -0.1001 & 0.460228 \tabularnewline
57 & -0.00061 & -0.0067 & 0.497339 \tabularnewline
58 & 0.100592 & 1.1019 & 0.136348 \tabularnewline
59 & -0.013478 & -0.1476 & 0.441435 \tabularnewline
60 & 0.001483 & 0.0162 & 0.493534 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=32503&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]0.119988[/C][C]1.3144[/C][C]0.095609[/C][/ROW]
[ROW][C]2[/C][C]-0.292805[/C][C]-3.2075[/C][C]0.000858[/C][/ROW]
[ROW][C]3[/C][C]0.260351[/C][C]2.852[/C][C]0.002559[/C][/ROW]
[ROW][C]4[/C][C]-0.179849[/C][C]-1.9702[/C][C]0.025562[/C][/ROW]
[ROW][C]5[/C][C]0.121483[/C][C]1.3308[/C][C]0.092893[/C][/ROW]
[ROW][C]6[/C][C]0.020488[/C][C]0.2244[/C][C]0.411401[/C][/ROW]
[ROW][C]7[/C][C]-0.070692[/C][C]-0.7744[/C][C]0.220112[/C][/ROW]
[ROW][C]8[/C][C]0.155346[/C][C]1.7017[/C][C]0.045698[/C][/ROW]
[ROW][C]9[/C][C]0.024644[/C][C]0.27[/C][C]0.393826[/C][/ROW]
[ROW][C]10[/C][C]-0.24598[/C][C]-2.6946[/C][C]0.004029[/C][/ROW]
[ROW][C]11[/C][C]0.422362[/C][C]4.6267[/C][C]5e-06[/C][/ROW]
[ROW][C]12[/C][C]0.640534[/C][C]7.0167[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]-0.066239[/C][C]-0.7256[/C][C]0.234744[/C][/ROW]
[ROW][C]14[/C][C]0.021551[/C][C]0.2361[/C][C]0.406885[/C][/ROW]
[ROW][C]15[/C][C]-0.017332[/C][C]-0.1899[/C][C]0.424871[/C][/ROW]
[ROW][C]16[/C][C]0.019658[/C][C]0.2153[/C][C]0.414931[/C][/ROW]
[ROW][C]17[/C][C]-0.063577[/C][C]-0.6965[/C][C]0.243745[/C][/ROW]
[ROW][C]18[/C][C]-0.117087[/C][C]-1.2826[/C][C]0.101048[/C][/ROW]
[ROW][C]19[/C][C]-0.110062[/C][C]-1.2057[/C][C]0.115158[/C][/ROW]
[ROW][C]20[/C][C]-0.105383[/C][C]-1.1544[/C][C]0.125312[/C][/ROW]
[ROW][C]21[/C][C]-0.126612[/C][C]-1.387[/C][C]0.084011[/C][/ROW]
[ROW][C]22[/C][C]-0.14784[/C][C]-1.6195[/C][C]0.053981[/C][/ROW]
[ROW][C]23[/C][C]-0.137318[/C][C]-1.5042[/C][C]0.067573[/C][/ROW]
[ROW][C]24[/C][C]0.029617[/C][C]0.3244[/C][C]0.373087[/C][/ROW]
[ROW][C]25[/C][C]0.024205[/C][C]0.2651[/C][C]0.395675[/C][/ROW]
[ROW][C]26[/C][C]-0.097809[/C][C]-1.0714[/C][C]0.14306[/C][/ROW]
[ROW][C]27[/C][C]-0.186325[/C][C]-2.0411[/C][C]0.021718[/C][/ROW]
[ROW][C]28[/C][C]0.051946[/C][C]0.569[/C][C]0.285198[/C][/ROW]
[ROW][C]29[/C][C]-0.020516[/C][C]-0.2247[/C][C]0.41128[/C][/ROW]
[ROW][C]30[/C][C]0.015002[/C][C]0.1643[/C][C]0.434872[/C][/ROW]
[ROW][C]31[/C][C]0.050685[/C][C]0.5552[/C][C]0.289885[/C][/ROW]
[ROW][C]32[/C][C]-0.057883[/C][C]-0.6341[/C][C]0.26362[/C][/ROW]
[ROW][C]33[/C][C]-0.071027[/C][C]-0.7781[/C][C]0.219033[/C][/ROW]
[ROW][C]34[/C][C]0.007132[/C][C]0.0781[/C][C]0.46893[/C][/ROW]
[ROW][C]35[/C][C]-0.033383[/C][C]-0.3657[/C][C]0.357619[/C][/ROW]
[ROW][C]36[/C][C]0.079714[/C][C]0.8732[/C][C]0.192143[/C][/ROW]
[ROW][C]37[/C][C]-0.036541[/C][C]-0.4003[/C][C]0.344828[/C][/ROW]
[ROW][C]38[/C][C]0.106065[/C][C]1.1619[/C][C]0.123794[/C][/ROW]
[ROW][C]39[/C][C]-0.01204[/C][C]-0.1319[/C][C]0.447647[/C][/ROW]
[ROW][C]40[/C][C]-0.062289[/C][C]-0.6823[/C][C]0.248168[/C][/ROW]
[ROW][C]41[/C][C]-0.007433[/C][C]-0.0814[/C][C]0.46762[/C][/ROW]
[ROW][C]42[/C][C]0.064179[/C][C]0.703[/C][C]0.241694[/C][/ROW]
[ROW][C]43[/C][C]0.059932[/C][C]0.6565[/C][C]0.256373[/C][/ROW]
[ROW][C]44[/C][C]-0.047098[/C][C]-0.5159[/C][C]0.303423[/C][/ROW]
[ROW][C]45[/C][C]0.035701[/C][C]0.3911[/C][C]0.348214[/C][/ROW]
[ROW][C]46[/C][C]-0.044828[/C][C]-0.4911[/C][C]0.312138[/C][/ROW]
[ROW][C]47[/C][C]-0.025865[/C][C]-0.2833[/C][C]0.388704[/C][/ROW]
[ROW][C]48[/C][C]0.001021[/C][C]0.0112[/C][C]0.495549[/C][/ROW]
[ROW][C]49[/C][C]-0.056923[/C][C]-0.6236[/C][C]0.267052[/C][/ROW]
[ROW][C]50[/C][C]0.040048[/C][C]0.4387[/C][C]0.330834[/C][/ROW]
[ROW][C]51[/C][C]0.032918[/C][C]0.3606[/C][C]0.359516[/C][/ROW]
[ROW][C]52[/C][C]0.009413[/C][C]0.1031[/C][C]0.459022[/C][/ROW]
[ROW][C]53[/C][C]-0.003113[/C][C]-0.0341[/C][C]0.486426[/C][/ROW]
[ROW][C]54[/C][C]-0.066837[/C][C]-0.7322[/C][C]0.232749[/C][/ROW]
[ROW][C]55[/C][C]-0.010819[/C][C]-0.1185[/C][C]0.452929[/C][/ROW]
[ROW][C]56[/C][C]-0.009135[/C][C]-0.1001[/C][C]0.460228[/C][/ROW]
[ROW][C]57[/C][C]-0.00061[/C][C]-0.0067[/C][C]0.497339[/C][/ROW]
[ROW][C]58[/C][C]0.100592[/C][C]1.1019[/C][C]0.136348[/C][/ROW]
[ROW][C]59[/C][C]-0.013478[/C][C]-0.1476[/C][C]0.441435[/C][/ROW]
[ROW][C]60[/C][C]0.001483[/C][C]0.0162[/C][C]0.493534[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=32503&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=32503&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
10.1199881.31440.095609
2-0.292805-3.20750.000858
30.2603512.8520.002559
4-0.179849-1.97020.025562
50.1214831.33080.092893
60.0204880.22440.411401
7-0.070692-0.77440.220112
80.1553461.70170.045698
90.0246440.270.393826
10-0.24598-2.69460.004029
110.4223624.62675e-06
120.6405347.01670
13-0.066239-0.72560.234744
140.0215510.23610.406885
15-0.017332-0.18990.424871
160.0196580.21530.414931
17-0.063577-0.69650.243745
18-0.117087-1.28260.101048
19-0.110062-1.20570.115158
20-0.105383-1.15440.125312
21-0.126612-1.3870.084011
22-0.14784-1.61950.053981
23-0.137318-1.50420.067573
240.0296170.32440.373087
250.0242050.26510.395675
26-0.097809-1.07140.14306
27-0.186325-2.04110.021718
280.0519460.5690.285198
29-0.020516-0.22470.41128
300.0150020.16430.434872
310.0506850.55520.289885
32-0.057883-0.63410.26362
33-0.071027-0.77810.219033
340.0071320.07810.46893
35-0.033383-0.36570.357619
360.0797140.87320.192143
37-0.036541-0.40030.344828
380.1060651.16190.123794
39-0.01204-0.13190.447647
40-0.062289-0.68230.248168
41-0.007433-0.08140.46762
420.0641790.7030.241694
430.0599320.65650.256373
44-0.047098-0.51590.303423
450.0357010.39110.348214
46-0.044828-0.49110.312138
47-0.025865-0.28330.388704
480.0010210.01120.495549
49-0.056923-0.62360.267052
500.0400480.43870.330834
510.0329180.36060.359516
520.0094130.10310.459022
53-0.003113-0.03410.486426
54-0.066837-0.73220.232749
55-0.010819-0.11850.452929
56-0.009135-0.10010.460228
57-0.00061-0.00670.497339
580.1005921.10190.136348
59-0.013478-0.14760.441435
600.0014830.01620.493534



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