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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 computationThu, 11 Dec 2008 08:23:01 -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/11/t1229009020d68bgqamfoj5bjk.htm/, Retrieved Tue, 12 Nov 2024 22:19:38 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=32309, Retrieved Tue, 12 Nov 2024 22:19:38 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact232
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] [6fc58909ffe15c247a4f6748c8841ab4] [Current]
-   P         [(Partial) Autocorrelation Function] [(Partial) Autocor...] [2008-12-12 09:41:51] [87cabf13a90315c7085b765dcebb7412]
-   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 time1 seconds
R Server'George Udny Yule' @ 72.249.76.132

\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 & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=32309&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=32309&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=32309&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'George Udny Yule' @ 72.249.76.132







Autocorrelation Function
Time lag kACF(k)T-STATP-value
1-0.518573-5.36420
20.0293480.30360.381018
30.0653020.67550.25041
4-0.154446-1.59760.056541
50.0354750.3670.357189
60.0539650.55820.28893
7-0.006268-0.06480.474213
8-0.00666-0.06890.472601
90.0635450.65730.256196
10-0.124061-1.28330.101079
110.243352.51720.006655
12-0.261152-2.70140.004015
130.0100720.10420.458608
140.0548060.56690.28598
150.1026741.06210.145297
16-0.128732-1.33160.092909
170.0619380.64070.261545
180.046990.48610.313957
19-0.16347-1.69090.046879
200.1391641.43950.07646
210.0081050.08380.466673
22-0.131009-1.35520.089109
230.1797671.85950.03285
24-0.166057-1.71770.044371
250.0702280.72640.234576
260.043930.45440.325226
27-0.091179-0.94320.173861
280.0708610.7330.232584
29-0.017794-0.18410.427158
30-0.006681-0.06910.472515
31-0.043072-0.44550.328413
320.0788590.81570.208234
33-0.119992-1.24120.108621
340.1521661.5740.059218
35-0.021961-0.22720.410363
36-0.087649-0.90660.183316
370.0150140.15530.438436
380.0672080.69520.244218
39-0.130009-1.34480.090763
400.0886740.91730.180536
410.0534970.55340.290581
42-0.153559-1.58840.05757
430.1899751.96510.025996
44-0.085367-0.8830.189597
450.040360.41750.338578
46-0.069296-0.71680.237528
47-0.052881-0.5470.292755
480.0606810.62770.265772
490.0190110.19670.422237
500.0198730.20560.418758
51-0.001381-0.01430.494316
52-0.024982-0.25840.398292
530.0047250.04890.480554
54-0.053877-0.55730.289241
550.0762010.78820.216153
56-0.029459-0.30470.380582
57-0.046754-0.48360.31482
580.0781460.80830.210343
591.8e-052e-040.499925
60-0.069551-0.71940.23672

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & -0.518573 & -5.3642 & 0 \tabularnewline
2 & 0.029348 & 0.3036 & 0.381018 \tabularnewline
3 & 0.065302 & 0.6755 & 0.25041 \tabularnewline
4 & -0.154446 & -1.5976 & 0.056541 \tabularnewline
5 & 0.035475 & 0.367 & 0.357189 \tabularnewline
6 & 0.053965 & 0.5582 & 0.28893 \tabularnewline
7 & -0.006268 & -0.0648 & 0.474213 \tabularnewline
8 & -0.00666 & -0.0689 & 0.472601 \tabularnewline
9 & 0.063545 & 0.6573 & 0.256196 \tabularnewline
10 & -0.124061 & -1.2833 & 0.101079 \tabularnewline
11 & 0.24335 & 2.5172 & 0.006655 \tabularnewline
12 & -0.261152 & -2.7014 & 0.004015 \tabularnewline
13 & 0.010072 & 0.1042 & 0.458608 \tabularnewline
14 & 0.054806 & 0.5669 & 0.28598 \tabularnewline
15 & 0.102674 & 1.0621 & 0.145297 \tabularnewline
16 & -0.128732 & -1.3316 & 0.092909 \tabularnewline
17 & 0.061938 & 0.6407 & 0.261545 \tabularnewline
18 & 0.04699 & 0.4861 & 0.313957 \tabularnewline
19 & -0.16347 & -1.6909 & 0.046879 \tabularnewline
20 & 0.139164 & 1.4395 & 0.07646 \tabularnewline
21 & 0.008105 & 0.0838 & 0.466673 \tabularnewline
22 & -0.131009 & -1.3552 & 0.089109 \tabularnewline
23 & 0.179767 & 1.8595 & 0.03285 \tabularnewline
24 & -0.166057 & -1.7177 & 0.044371 \tabularnewline
25 & 0.070228 & 0.7264 & 0.234576 \tabularnewline
26 & 0.04393 & 0.4544 & 0.325226 \tabularnewline
27 & -0.091179 & -0.9432 & 0.173861 \tabularnewline
28 & 0.070861 & 0.733 & 0.232584 \tabularnewline
29 & -0.017794 & -0.1841 & 0.427158 \tabularnewline
30 & -0.006681 & -0.0691 & 0.472515 \tabularnewline
31 & -0.043072 & -0.4455 & 0.328413 \tabularnewline
32 & 0.078859 & 0.8157 & 0.208234 \tabularnewline
33 & -0.119992 & -1.2412 & 0.108621 \tabularnewline
34 & 0.152166 & 1.574 & 0.059218 \tabularnewline
35 & -0.021961 & -0.2272 & 0.410363 \tabularnewline
36 & -0.087649 & -0.9066 & 0.183316 \tabularnewline
37 & 0.015014 & 0.1553 & 0.438436 \tabularnewline
38 & 0.067208 & 0.6952 & 0.244218 \tabularnewline
39 & -0.130009 & -1.3448 & 0.090763 \tabularnewline
40 & 0.088674 & 0.9173 & 0.180536 \tabularnewline
41 & 0.053497 & 0.5534 & 0.290581 \tabularnewline
42 & -0.153559 & -1.5884 & 0.05757 \tabularnewline
43 & 0.189975 & 1.9651 & 0.025996 \tabularnewline
44 & -0.085367 & -0.883 & 0.189597 \tabularnewline
45 & 0.04036 & 0.4175 & 0.338578 \tabularnewline
46 & -0.069296 & -0.7168 & 0.237528 \tabularnewline
47 & -0.052881 & -0.547 & 0.292755 \tabularnewline
48 & 0.060681 & 0.6277 & 0.265772 \tabularnewline
49 & 0.019011 & 0.1967 & 0.422237 \tabularnewline
50 & 0.019873 & 0.2056 & 0.418758 \tabularnewline
51 & -0.001381 & -0.0143 & 0.494316 \tabularnewline
52 & -0.024982 & -0.2584 & 0.398292 \tabularnewline
53 & 0.004725 & 0.0489 & 0.480554 \tabularnewline
54 & -0.053877 & -0.5573 & 0.289241 \tabularnewline
55 & 0.076201 & 0.7882 & 0.216153 \tabularnewline
56 & -0.029459 & -0.3047 & 0.380582 \tabularnewline
57 & -0.046754 & -0.4836 & 0.31482 \tabularnewline
58 & 0.078146 & 0.8083 & 0.210343 \tabularnewline
59 & 1.8e-05 & 2e-04 & 0.499925 \tabularnewline
60 & -0.069551 & -0.7194 & 0.23672 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=32309&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]-0.518573[/C][C]-5.3642[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.029348[/C][C]0.3036[/C][C]0.381018[/C][/ROW]
[ROW][C]3[/C][C]0.065302[/C][C]0.6755[/C][C]0.25041[/C][/ROW]
[ROW][C]4[/C][C]-0.154446[/C][C]-1.5976[/C][C]0.056541[/C][/ROW]
[ROW][C]5[/C][C]0.035475[/C][C]0.367[/C][C]0.357189[/C][/ROW]
[ROW][C]6[/C][C]0.053965[/C][C]0.5582[/C][C]0.28893[/C][/ROW]
[ROW][C]7[/C][C]-0.006268[/C][C]-0.0648[/C][C]0.474213[/C][/ROW]
[ROW][C]8[/C][C]-0.00666[/C][C]-0.0689[/C][C]0.472601[/C][/ROW]
[ROW][C]9[/C][C]0.063545[/C][C]0.6573[/C][C]0.256196[/C][/ROW]
[ROW][C]10[/C][C]-0.124061[/C][C]-1.2833[/C][C]0.101079[/C][/ROW]
[ROW][C]11[/C][C]0.24335[/C][C]2.5172[/C][C]0.006655[/C][/ROW]
[ROW][C]12[/C][C]-0.261152[/C][C]-2.7014[/C][C]0.004015[/C][/ROW]
[ROW][C]13[/C][C]0.010072[/C][C]0.1042[/C][C]0.458608[/C][/ROW]
[ROW][C]14[/C][C]0.054806[/C][C]0.5669[/C][C]0.28598[/C][/ROW]
[ROW][C]15[/C][C]0.102674[/C][C]1.0621[/C][C]0.145297[/C][/ROW]
[ROW][C]16[/C][C]-0.128732[/C][C]-1.3316[/C][C]0.092909[/C][/ROW]
[ROW][C]17[/C][C]0.061938[/C][C]0.6407[/C][C]0.261545[/C][/ROW]
[ROW][C]18[/C][C]0.04699[/C][C]0.4861[/C][C]0.313957[/C][/ROW]
[ROW][C]19[/C][C]-0.16347[/C][C]-1.6909[/C][C]0.046879[/C][/ROW]
[ROW][C]20[/C][C]0.139164[/C][C]1.4395[/C][C]0.07646[/C][/ROW]
[ROW][C]21[/C][C]0.008105[/C][C]0.0838[/C][C]0.466673[/C][/ROW]
[ROW][C]22[/C][C]-0.131009[/C][C]-1.3552[/C][C]0.089109[/C][/ROW]
[ROW][C]23[/C][C]0.179767[/C][C]1.8595[/C][C]0.03285[/C][/ROW]
[ROW][C]24[/C][C]-0.166057[/C][C]-1.7177[/C][C]0.044371[/C][/ROW]
[ROW][C]25[/C][C]0.070228[/C][C]0.7264[/C][C]0.234576[/C][/ROW]
[ROW][C]26[/C][C]0.04393[/C][C]0.4544[/C][C]0.325226[/C][/ROW]
[ROW][C]27[/C][C]-0.091179[/C][C]-0.9432[/C][C]0.173861[/C][/ROW]
[ROW][C]28[/C][C]0.070861[/C][C]0.733[/C][C]0.232584[/C][/ROW]
[ROW][C]29[/C][C]-0.017794[/C][C]-0.1841[/C][C]0.427158[/C][/ROW]
[ROW][C]30[/C][C]-0.006681[/C][C]-0.0691[/C][C]0.472515[/C][/ROW]
[ROW][C]31[/C][C]-0.043072[/C][C]-0.4455[/C][C]0.328413[/C][/ROW]
[ROW][C]32[/C][C]0.078859[/C][C]0.8157[/C][C]0.208234[/C][/ROW]
[ROW][C]33[/C][C]-0.119992[/C][C]-1.2412[/C][C]0.108621[/C][/ROW]
[ROW][C]34[/C][C]0.152166[/C][C]1.574[/C][C]0.059218[/C][/ROW]
[ROW][C]35[/C][C]-0.021961[/C][C]-0.2272[/C][C]0.410363[/C][/ROW]
[ROW][C]36[/C][C]-0.087649[/C][C]-0.9066[/C][C]0.183316[/C][/ROW]
[ROW][C]37[/C][C]0.015014[/C][C]0.1553[/C][C]0.438436[/C][/ROW]
[ROW][C]38[/C][C]0.067208[/C][C]0.6952[/C][C]0.244218[/C][/ROW]
[ROW][C]39[/C][C]-0.130009[/C][C]-1.3448[/C][C]0.090763[/C][/ROW]
[ROW][C]40[/C][C]0.088674[/C][C]0.9173[/C][C]0.180536[/C][/ROW]
[ROW][C]41[/C][C]0.053497[/C][C]0.5534[/C][C]0.290581[/C][/ROW]
[ROW][C]42[/C][C]-0.153559[/C][C]-1.5884[/C][C]0.05757[/C][/ROW]
[ROW][C]43[/C][C]0.189975[/C][C]1.9651[/C][C]0.025996[/C][/ROW]
[ROW][C]44[/C][C]-0.085367[/C][C]-0.883[/C][C]0.189597[/C][/ROW]
[ROW][C]45[/C][C]0.04036[/C][C]0.4175[/C][C]0.338578[/C][/ROW]
[ROW][C]46[/C][C]-0.069296[/C][C]-0.7168[/C][C]0.237528[/C][/ROW]
[ROW][C]47[/C][C]-0.052881[/C][C]-0.547[/C][C]0.292755[/C][/ROW]
[ROW][C]48[/C][C]0.060681[/C][C]0.6277[/C][C]0.265772[/C][/ROW]
[ROW][C]49[/C][C]0.019011[/C][C]0.1967[/C][C]0.422237[/C][/ROW]
[ROW][C]50[/C][C]0.019873[/C][C]0.2056[/C][C]0.418758[/C][/ROW]
[ROW][C]51[/C][C]-0.001381[/C][C]-0.0143[/C][C]0.494316[/C][/ROW]
[ROW][C]52[/C][C]-0.024982[/C][C]-0.2584[/C][C]0.398292[/C][/ROW]
[ROW][C]53[/C][C]0.004725[/C][C]0.0489[/C][C]0.480554[/C][/ROW]
[ROW][C]54[/C][C]-0.053877[/C][C]-0.5573[/C][C]0.289241[/C][/ROW]
[ROW][C]55[/C][C]0.076201[/C][C]0.7882[/C][C]0.216153[/C][/ROW]
[ROW][C]56[/C][C]-0.029459[/C][C]-0.3047[/C][C]0.380582[/C][/ROW]
[ROW][C]57[/C][C]-0.046754[/C][C]-0.4836[/C][C]0.31482[/C][/ROW]
[ROW][C]58[/C][C]0.078146[/C][C]0.8083[/C][C]0.210343[/C][/ROW]
[ROW][C]59[/C][C]1.8e-05[/C][C]2e-04[/C][C]0.499925[/C][/ROW]
[ROW][C]60[/C][C]-0.069551[/C][C]-0.7194[/C][C]0.23672[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=32309&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=32309&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
1-0.518573-5.36420
20.0293480.30360.381018
30.0653020.67550.25041
4-0.154446-1.59760.056541
50.0354750.3670.357189
60.0539650.55820.28893
7-0.006268-0.06480.474213
8-0.00666-0.06890.472601
90.0635450.65730.256196
10-0.124061-1.28330.101079
110.243352.51720.006655
12-0.261152-2.70140.004015
130.0100720.10420.458608
140.0548060.56690.28598
150.1026741.06210.145297
16-0.128732-1.33160.092909
170.0619380.64070.261545
180.046990.48610.313957
19-0.16347-1.69090.046879
200.1391641.43950.07646
210.0081050.08380.466673
22-0.131009-1.35520.089109
230.1797671.85950.03285
24-0.166057-1.71770.044371
250.0702280.72640.234576
260.043930.45440.325226
27-0.091179-0.94320.173861
280.0708610.7330.232584
29-0.017794-0.18410.427158
30-0.006681-0.06910.472515
31-0.043072-0.44550.328413
320.0788590.81570.208234
33-0.119992-1.24120.108621
340.1521661.5740.059218
35-0.021961-0.22720.410363
36-0.087649-0.90660.183316
370.0150140.15530.438436
380.0672080.69520.244218
39-0.130009-1.34480.090763
400.0886740.91730.180536
410.0534970.55340.290581
42-0.153559-1.58840.05757
430.1899751.96510.025996
44-0.085367-0.8830.189597
450.040360.41750.338578
46-0.069296-0.71680.237528
47-0.052881-0.5470.292755
480.0606810.62770.265772
490.0190110.19670.422237
500.0198730.20560.418758
51-0.001381-0.01430.494316
52-0.024982-0.25840.398292
530.0047250.04890.480554
54-0.053877-0.55730.289241
550.0762010.78820.216153
56-0.029459-0.30470.380582
57-0.046754-0.48360.31482
580.0781460.80830.210343
591.8e-052e-040.499925
60-0.069551-0.71940.23672







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
1-0.518573-5.36420
2-0.327692-3.38970.00049
3-0.12937-1.33820.091832
4-0.251806-2.60470.005251
5-0.282467-2.92190.002123
6-0.204959-2.12010.018154
7-0.137962-1.42710.078233
8-0.149391-1.54530.062612
9-0.043294-0.44780.327589
10-0.151141-1.56340.060454
110.231152.3910.009274
120.0514280.5320.297924
13-0.10316-1.06710.144164
14-0.16909-1.74910.041572
150.1537461.59040.057352
16-0.000184-0.00190.499244
17-0.110897-1.14710.126945
180.002210.02290.490902
19-0.056201-0.58140.281113
20-0.039453-0.40810.342007
210.0936110.96830.167534
22-0.144343-1.49310.069177
230.1677491.73520.042791
24-0.01079-0.11160.455672
25-0.03218-0.33290.369943
26-0.103828-1.0740.142618
270.0449240.46470.321545
280.0477820.49430.311069
29-0.071557-0.74020.230404
30-0.002882-0.02980.488136
31-0.082387-0.85220.197999
32-0.05623-0.58170.281013
33-0.105109-1.08730.139684
34-0.045291-0.46850.320193
350.1733651.79330.037875
36-0.014303-0.14790.441331
37-0.111058-1.14880.126602
38-0.012931-0.13380.446922
39-0.034635-0.35830.360425
40-0.05455-0.56430.286875
41-0.108153-1.11870.132878
42-0.127684-1.32080.094698
43-0.021148-0.21880.413628
440.0311210.32190.37407
450.1309441.35450.089216
46-0.007529-0.07790.469033
470.0607350.62820.26559
480.0136670.14140.443919
49-0.129668-1.34130.091331
50-0.007844-0.08110.467743
510.0245170.25360.400145
52-0.089763-0.92850.177614
53-0.040668-0.42070.33742
54-0.119491-1.2360.109578
55-0.052599-0.54410.293758
56-0.009108-0.09420.462558
570.0305830.31640.376176
58-0.073024-0.75540.225845
590.0613260.63440.263601
60-0.061901-0.64030.261671

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & -0.518573 & -5.3642 & 0 \tabularnewline
2 & -0.327692 & -3.3897 & 0.00049 \tabularnewline
3 & -0.12937 & -1.3382 & 0.091832 \tabularnewline
4 & -0.251806 & -2.6047 & 0.005251 \tabularnewline
5 & -0.282467 & -2.9219 & 0.002123 \tabularnewline
6 & -0.204959 & -2.1201 & 0.018154 \tabularnewline
7 & -0.137962 & -1.4271 & 0.078233 \tabularnewline
8 & -0.149391 & -1.5453 & 0.062612 \tabularnewline
9 & -0.043294 & -0.4478 & 0.327589 \tabularnewline
10 & -0.151141 & -1.5634 & 0.060454 \tabularnewline
11 & 0.23115 & 2.391 & 0.009274 \tabularnewline
12 & 0.051428 & 0.532 & 0.297924 \tabularnewline
13 & -0.10316 & -1.0671 & 0.144164 \tabularnewline
14 & -0.16909 & -1.7491 & 0.041572 \tabularnewline
15 & 0.153746 & 1.5904 & 0.057352 \tabularnewline
16 & -0.000184 & -0.0019 & 0.499244 \tabularnewline
17 & -0.110897 & -1.1471 & 0.126945 \tabularnewline
18 & 0.00221 & 0.0229 & 0.490902 \tabularnewline
19 & -0.056201 & -0.5814 & 0.281113 \tabularnewline
20 & -0.039453 & -0.4081 & 0.342007 \tabularnewline
21 & 0.093611 & 0.9683 & 0.167534 \tabularnewline
22 & -0.144343 & -1.4931 & 0.069177 \tabularnewline
23 & 0.167749 & 1.7352 & 0.042791 \tabularnewline
24 & -0.01079 & -0.1116 & 0.455672 \tabularnewline
25 & -0.03218 & -0.3329 & 0.369943 \tabularnewline
26 & -0.103828 & -1.074 & 0.142618 \tabularnewline
27 & 0.044924 & 0.4647 & 0.321545 \tabularnewline
28 & 0.047782 & 0.4943 & 0.311069 \tabularnewline
29 & -0.071557 & -0.7402 & 0.230404 \tabularnewline
30 & -0.002882 & -0.0298 & 0.488136 \tabularnewline
31 & -0.082387 & -0.8522 & 0.197999 \tabularnewline
32 & -0.05623 & -0.5817 & 0.281013 \tabularnewline
33 & -0.105109 & -1.0873 & 0.139684 \tabularnewline
34 & -0.045291 & -0.4685 & 0.320193 \tabularnewline
35 & 0.173365 & 1.7933 & 0.037875 \tabularnewline
36 & -0.014303 & -0.1479 & 0.441331 \tabularnewline
37 & -0.111058 & -1.1488 & 0.126602 \tabularnewline
38 & -0.012931 & -0.1338 & 0.446922 \tabularnewline
39 & -0.034635 & -0.3583 & 0.360425 \tabularnewline
40 & -0.05455 & -0.5643 & 0.286875 \tabularnewline
41 & -0.108153 & -1.1187 & 0.132878 \tabularnewline
42 & -0.127684 & -1.3208 & 0.094698 \tabularnewline
43 & -0.021148 & -0.2188 & 0.413628 \tabularnewline
44 & 0.031121 & 0.3219 & 0.37407 \tabularnewline
45 & 0.130944 & 1.3545 & 0.089216 \tabularnewline
46 & -0.007529 & -0.0779 & 0.469033 \tabularnewline
47 & 0.060735 & 0.6282 & 0.26559 \tabularnewline
48 & 0.013667 & 0.1414 & 0.443919 \tabularnewline
49 & -0.129668 & -1.3413 & 0.091331 \tabularnewline
50 & -0.007844 & -0.0811 & 0.467743 \tabularnewline
51 & 0.024517 & 0.2536 & 0.400145 \tabularnewline
52 & -0.089763 & -0.9285 & 0.177614 \tabularnewline
53 & -0.040668 & -0.4207 & 0.33742 \tabularnewline
54 & -0.119491 & -1.236 & 0.109578 \tabularnewline
55 & -0.052599 & -0.5441 & 0.293758 \tabularnewline
56 & -0.009108 & -0.0942 & 0.462558 \tabularnewline
57 & 0.030583 & 0.3164 & 0.376176 \tabularnewline
58 & -0.073024 & -0.7554 & 0.225845 \tabularnewline
59 & 0.061326 & 0.6344 & 0.263601 \tabularnewline
60 & -0.061901 & -0.6403 & 0.261671 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=32309&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]-0.518573[/C][C]-5.3642[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]-0.327692[/C][C]-3.3897[/C][C]0.00049[/C][/ROW]
[ROW][C]3[/C][C]-0.12937[/C][C]-1.3382[/C][C]0.091832[/C][/ROW]
[ROW][C]4[/C][C]-0.251806[/C][C]-2.6047[/C][C]0.005251[/C][/ROW]
[ROW][C]5[/C][C]-0.282467[/C][C]-2.9219[/C][C]0.002123[/C][/ROW]
[ROW][C]6[/C][C]-0.204959[/C][C]-2.1201[/C][C]0.018154[/C][/ROW]
[ROW][C]7[/C][C]-0.137962[/C][C]-1.4271[/C][C]0.078233[/C][/ROW]
[ROW][C]8[/C][C]-0.149391[/C][C]-1.5453[/C][C]0.062612[/C][/ROW]
[ROW][C]9[/C][C]-0.043294[/C][C]-0.4478[/C][C]0.327589[/C][/ROW]
[ROW][C]10[/C][C]-0.151141[/C][C]-1.5634[/C][C]0.060454[/C][/ROW]
[ROW][C]11[/C][C]0.23115[/C][C]2.391[/C][C]0.009274[/C][/ROW]
[ROW][C]12[/C][C]0.051428[/C][C]0.532[/C][C]0.297924[/C][/ROW]
[ROW][C]13[/C][C]-0.10316[/C][C]-1.0671[/C][C]0.144164[/C][/ROW]
[ROW][C]14[/C][C]-0.16909[/C][C]-1.7491[/C][C]0.041572[/C][/ROW]
[ROW][C]15[/C][C]0.153746[/C][C]1.5904[/C][C]0.057352[/C][/ROW]
[ROW][C]16[/C][C]-0.000184[/C][C]-0.0019[/C][C]0.499244[/C][/ROW]
[ROW][C]17[/C][C]-0.110897[/C][C]-1.1471[/C][C]0.126945[/C][/ROW]
[ROW][C]18[/C][C]0.00221[/C][C]0.0229[/C][C]0.490902[/C][/ROW]
[ROW][C]19[/C][C]-0.056201[/C][C]-0.5814[/C][C]0.281113[/C][/ROW]
[ROW][C]20[/C][C]-0.039453[/C][C]-0.4081[/C][C]0.342007[/C][/ROW]
[ROW][C]21[/C][C]0.093611[/C][C]0.9683[/C][C]0.167534[/C][/ROW]
[ROW][C]22[/C][C]-0.144343[/C][C]-1.4931[/C][C]0.069177[/C][/ROW]
[ROW][C]23[/C][C]0.167749[/C][C]1.7352[/C][C]0.042791[/C][/ROW]
[ROW][C]24[/C][C]-0.01079[/C][C]-0.1116[/C][C]0.455672[/C][/ROW]
[ROW][C]25[/C][C]-0.03218[/C][C]-0.3329[/C][C]0.369943[/C][/ROW]
[ROW][C]26[/C][C]-0.103828[/C][C]-1.074[/C][C]0.142618[/C][/ROW]
[ROW][C]27[/C][C]0.044924[/C][C]0.4647[/C][C]0.321545[/C][/ROW]
[ROW][C]28[/C][C]0.047782[/C][C]0.4943[/C][C]0.311069[/C][/ROW]
[ROW][C]29[/C][C]-0.071557[/C][C]-0.7402[/C][C]0.230404[/C][/ROW]
[ROW][C]30[/C][C]-0.002882[/C][C]-0.0298[/C][C]0.488136[/C][/ROW]
[ROW][C]31[/C][C]-0.082387[/C][C]-0.8522[/C][C]0.197999[/C][/ROW]
[ROW][C]32[/C][C]-0.05623[/C][C]-0.5817[/C][C]0.281013[/C][/ROW]
[ROW][C]33[/C][C]-0.105109[/C][C]-1.0873[/C][C]0.139684[/C][/ROW]
[ROW][C]34[/C][C]-0.045291[/C][C]-0.4685[/C][C]0.320193[/C][/ROW]
[ROW][C]35[/C][C]0.173365[/C][C]1.7933[/C][C]0.037875[/C][/ROW]
[ROW][C]36[/C][C]-0.014303[/C][C]-0.1479[/C][C]0.441331[/C][/ROW]
[ROW][C]37[/C][C]-0.111058[/C][C]-1.1488[/C][C]0.126602[/C][/ROW]
[ROW][C]38[/C][C]-0.012931[/C][C]-0.1338[/C][C]0.446922[/C][/ROW]
[ROW][C]39[/C][C]-0.034635[/C][C]-0.3583[/C][C]0.360425[/C][/ROW]
[ROW][C]40[/C][C]-0.05455[/C][C]-0.5643[/C][C]0.286875[/C][/ROW]
[ROW][C]41[/C][C]-0.108153[/C][C]-1.1187[/C][C]0.132878[/C][/ROW]
[ROW][C]42[/C][C]-0.127684[/C][C]-1.3208[/C][C]0.094698[/C][/ROW]
[ROW][C]43[/C][C]-0.021148[/C][C]-0.2188[/C][C]0.413628[/C][/ROW]
[ROW][C]44[/C][C]0.031121[/C][C]0.3219[/C][C]0.37407[/C][/ROW]
[ROW][C]45[/C][C]0.130944[/C][C]1.3545[/C][C]0.089216[/C][/ROW]
[ROW][C]46[/C][C]-0.007529[/C][C]-0.0779[/C][C]0.469033[/C][/ROW]
[ROW][C]47[/C][C]0.060735[/C][C]0.6282[/C][C]0.26559[/C][/ROW]
[ROW][C]48[/C][C]0.013667[/C][C]0.1414[/C][C]0.443919[/C][/ROW]
[ROW][C]49[/C][C]-0.129668[/C][C]-1.3413[/C][C]0.091331[/C][/ROW]
[ROW][C]50[/C][C]-0.007844[/C][C]-0.0811[/C][C]0.467743[/C][/ROW]
[ROW][C]51[/C][C]0.024517[/C][C]0.2536[/C][C]0.400145[/C][/ROW]
[ROW][C]52[/C][C]-0.089763[/C][C]-0.9285[/C][C]0.177614[/C][/ROW]
[ROW][C]53[/C][C]-0.040668[/C][C]-0.4207[/C][C]0.33742[/C][/ROW]
[ROW][C]54[/C][C]-0.119491[/C][C]-1.236[/C][C]0.109578[/C][/ROW]
[ROW][C]55[/C][C]-0.052599[/C][C]-0.5441[/C][C]0.293758[/C][/ROW]
[ROW][C]56[/C][C]-0.009108[/C][C]-0.0942[/C][C]0.462558[/C][/ROW]
[ROW][C]57[/C][C]0.030583[/C][C]0.3164[/C][C]0.376176[/C][/ROW]
[ROW][C]58[/C][C]-0.073024[/C][C]-0.7554[/C][C]0.225845[/C][/ROW]
[ROW][C]59[/C][C]0.061326[/C][C]0.6344[/C][C]0.263601[/C][/ROW]
[ROW][C]60[/C][C]-0.061901[/C][C]-0.6403[/C][C]0.261671[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=32309&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=32309&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
1-0.518573-5.36420
2-0.327692-3.38970.00049
3-0.12937-1.33820.091832
4-0.251806-2.60470.005251
5-0.282467-2.92190.002123
6-0.204959-2.12010.018154
7-0.137962-1.42710.078233
8-0.149391-1.54530.062612
9-0.043294-0.44780.327589
10-0.151141-1.56340.060454
110.231152.3910.009274
120.0514280.5320.297924
13-0.10316-1.06710.144164
14-0.16909-1.74910.041572
150.1537461.59040.057352
16-0.000184-0.00190.499244
17-0.110897-1.14710.126945
180.002210.02290.490902
19-0.056201-0.58140.281113
20-0.039453-0.40810.342007
210.0936110.96830.167534
22-0.144343-1.49310.069177
230.1677491.73520.042791
24-0.01079-0.11160.455672
25-0.03218-0.33290.369943
26-0.103828-1.0740.142618
270.0449240.46470.321545
280.0477820.49430.311069
29-0.071557-0.74020.230404
30-0.002882-0.02980.488136
31-0.082387-0.85220.197999
32-0.05623-0.58170.281013
33-0.105109-1.08730.139684
34-0.045291-0.46850.320193
350.1733651.79330.037875
36-0.014303-0.14790.441331
37-0.111058-1.14880.126602
38-0.012931-0.13380.446922
39-0.034635-0.35830.360425
40-0.05455-0.56430.286875
41-0.108153-1.11870.132878
42-0.127684-1.32080.094698
43-0.021148-0.21880.413628
440.0311210.32190.37407
450.1309441.35450.089216
46-0.007529-0.07790.469033
470.0607350.62820.26559
480.0136670.14140.443919
49-0.129668-1.34130.091331
50-0.007844-0.08110.467743
510.0245170.25360.400145
52-0.089763-0.92850.177614
53-0.040668-0.42070.33742
54-0.119491-1.2360.109578
55-0.052599-0.54410.293758
56-0.009108-0.09420.462558
570.0305830.31640.376176
58-0.073024-0.75540.225845
590.0613260.63440.263601
60-0.061901-0.64030.261671



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