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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 computationTue, 02 Dec 2008 11:11:03 -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/02/t12282417139j6jn0iwufoonwl.htm/, Retrieved Fri, 17 May 2024 03:21:23 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=28191, Retrieved Fri, 17 May 2024 03:21:23 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsgdm
Estimated Impact185
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [Law of Averages] [Random Walk Simul...] [2008-11-25 18:40:39] [b98453cac15ba1066b407e146608df68]
F       [Law of Averages] [WS7 Task 4] [2008-11-30 15:52:14] [11ac052cc87d77b9933b02bea117068e]
- RMPD      [(Partial) Autocorrelation Function] [WS7 Task 6c] [2008-12-02 18:11:03] [99f79d508deef838ee89a56fb32f134e] [Current]
-   P         [(Partial) Autocorrelation Function] [WS7 Task 6d] [2008-12-02 19:37:22] [11ac052cc87d77b9933b02bea117068e]
-   P         [(Partial) Autocorrelation Function] [WS7 Task 6d] [2008-12-02 19:37:22] [11ac052cc87d77b9933b02bea117068e]
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Dataseries X:
112
118
132
129
121
135
148
148
136
119
104
118
115
126
141
135
125
149
170
170
158
133
114
140
145
150
178
163
172
178
199
199
184
162
146
166
171
180
193
181
183
218
230
242
209
191
172
194
196
196
236
235
229
243
264
272
237
211
180
201
204
188
235
227
234
264
302
293
259
229
203
229
242
233
267
269
270
315
364
347
312
274
237
278
284
277
317
313
318
374
413
405
355
306
271
306
315
301
356
348
355
422
465
467
404
347
305
336
340
318
362
348
363
435
491
505
404
359
310
337
360
342
406
396
420
472
548
559
463
407
362
405
417
391
419
461
472
535
622
606
508
461
390
432




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=28191&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=28191&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=28191&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
10.1658431.98320.024631
2-0.133941-1.60170.055715
3-0.129333-1.54660.062086
4-0.322644-3.85838.6e-05
5-0.073719-0.88160.18975
60.0736090.88020.190103
7-0.113316-1.35510.088766
8-0.341796-4.08733.6e-05
9-0.09467-1.13210.129747
10-0.112903-1.35010.089554
110.1785492.13510.017227
120.8284549.90690
130.1864142.22920.01368
14-0.155535-1.85990.032475
15-0.087474-1.0460.148655
16-0.283857-3.39440.000445
17-0.03716-0.44440.328722
180.046140.55170.290991
19-0.11755-1.40570.080992
20-0.334202-3.99655.1e-05
21-0.087867-1.05070.147577
22-0.070138-0.83870.201511
230.1736172.07620.019835
240.7148198.5480
250.1682212.01160.023069
26-0.130113-1.55590.060968
27-0.074009-0.8850.188815
28-0.209866-2.50960.0066
29-0.057491-0.68750.246441
300.0399030.47720.316986
31-0.120646-1.44270.075643
32-0.28384-3.39420.000445
33-0.111971-1.3390.091351
34-0.036132-0.43210.33317
350.1207051.44340.075545
360.6427177.68580
370.1678292.00690.023321
38-0.1396-1.66940.048616
39-0.033231-0.39740.345838
40-0.164819-1.9710.02533
41-0.056585-0.67670.249857
420.024860.29730.383341
43-0.11444-1.36850.08665
44-0.282136-3.37390.000477
45-0.085155-1.01830.155127
46-0.032182-0.38480.350466
470.1013691.21220.113719
480.5760236.88820
490.1732632.07190.020035
50-0.144722-1.73060.042838
51-0.028764-0.3440.365687
52-0.127238-1.52150.065166
53-0.02832-0.33870.367683
540.0207490.24810.402197
55-0.099388-1.18850.118302
56-0.294915-3.52670.000283
57-0.077932-0.93190.176471
58-0.008891-0.10630.457738
590.0879481.05170.147354
600.5119376.12190

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.165843 & 1.9832 & 0.024631 \tabularnewline
2 & -0.133941 & -1.6017 & 0.055715 \tabularnewline
3 & -0.129333 & -1.5466 & 0.062086 \tabularnewline
4 & -0.322644 & -3.8583 & 8.6e-05 \tabularnewline
5 & -0.073719 & -0.8816 & 0.18975 \tabularnewline
6 & 0.073609 & 0.8802 & 0.190103 \tabularnewline
7 & -0.113316 & -1.3551 & 0.088766 \tabularnewline
8 & -0.341796 & -4.0873 & 3.6e-05 \tabularnewline
9 & -0.09467 & -1.1321 & 0.129747 \tabularnewline
10 & -0.112903 & -1.3501 & 0.089554 \tabularnewline
11 & 0.178549 & 2.1351 & 0.017227 \tabularnewline
12 & 0.828454 & 9.9069 & 0 \tabularnewline
13 & 0.186414 & 2.2292 & 0.01368 \tabularnewline
14 & -0.155535 & -1.8599 & 0.032475 \tabularnewline
15 & -0.087474 & -1.046 & 0.148655 \tabularnewline
16 & -0.283857 & -3.3944 & 0.000445 \tabularnewline
17 & -0.03716 & -0.4444 & 0.328722 \tabularnewline
18 & 0.04614 & 0.5517 & 0.290991 \tabularnewline
19 & -0.11755 & -1.4057 & 0.080992 \tabularnewline
20 & -0.334202 & -3.9965 & 5.1e-05 \tabularnewline
21 & -0.087867 & -1.0507 & 0.147577 \tabularnewline
22 & -0.070138 & -0.8387 & 0.201511 \tabularnewline
23 & 0.173617 & 2.0762 & 0.019835 \tabularnewline
24 & 0.714819 & 8.548 & 0 \tabularnewline
25 & 0.168221 & 2.0116 & 0.023069 \tabularnewline
26 & -0.130113 & -1.5559 & 0.060968 \tabularnewline
27 & -0.074009 & -0.885 & 0.188815 \tabularnewline
28 & -0.209866 & -2.5096 & 0.0066 \tabularnewline
29 & -0.057491 & -0.6875 & 0.246441 \tabularnewline
30 & 0.039903 & 0.4772 & 0.316986 \tabularnewline
31 & -0.120646 & -1.4427 & 0.075643 \tabularnewline
32 & -0.28384 & -3.3942 & 0.000445 \tabularnewline
33 & -0.111971 & -1.339 & 0.091351 \tabularnewline
34 & -0.036132 & -0.4321 & 0.33317 \tabularnewline
35 & 0.120705 & 1.4434 & 0.075545 \tabularnewline
36 & 0.642717 & 7.6858 & 0 \tabularnewline
37 & 0.167829 & 2.0069 & 0.023321 \tabularnewline
38 & -0.1396 & -1.6694 & 0.048616 \tabularnewline
39 & -0.033231 & -0.3974 & 0.345838 \tabularnewline
40 & -0.164819 & -1.971 & 0.02533 \tabularnewline
41 & -0.056585 & -0.6767 & 0.249857 \tabularnewline
42 & 0.02486 & 0.2973 & 0.383341 \tabularnewline
43 & -0.11444 & -1.3685 & 0.08665 \tabularnewline
44 & -0.282136 & -3.3739 & 0.000477 \tabularnewline
45 & -0.085155 & -1.0183 & 0.155127 \tabularnewline
46 & -0.032182 & -0.3848 & 0.350466 \tabularnewline
47 & 0.101369 & 1.2122 & 0.113719 \tabularnewline
48 & 0.576023 & 6.8882 & 0 \tabularnewline
49 & 0.173263 & 2.0719 & 0.020035 \tabularnewline
50 & -0.144722 & -1.7306 & 0.042838 \tabularnewline
51 & -0.028764 & -0.344 & 0.365687 \tabularnewline
52 & -0.127238 & -1.5215 & 0.065166 \tabularnewline
53 & -0.02832 & -0.3387 & 0.367683 \tabularnewline
54 & 0.020749 & 0.2481 & 0.402197 \tabularnewline
55 & -0.099388 & -1.1885 & 0.118302 \tabularnewline
56 & -0.294915 & -3.5267 & 0.000283 \tabularnewline
57 & -0.077932 & -0.9319 & 0.176471 \tabularnewline
58 & -0.008891 & -0.1063 & 0.457738 \tabularnewline
59 & 0.087948 & 1.0517 & 0.147354 \tabularnewline
60 & 0.511937 & 6.1219 & 0 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=28191&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]0.165843[/C][C]1.9832[/C][C]0.024631[/C][/ROW]
[ROW][C]2[/C][C]-0.133941[/C][C]-1.6017[/C][C]0.055715[/C][/ROW]
[ROW][C]3[/C][C]-0.129333[/C][C]-1.5466[/C][C]0.062086[/C][/ROW]
[ROW][C]4[/C][C]-0.322644[/C][C]-3.8583[/C][C]8.6e-05[/C][/ROW]
[ROW][C]5[/C][C]-0.073719[/C][C]-0.8816[/C][C]0.18975[/C][/ROW]
[ROW][C]6[/C][C]0.073609[/C][C]0.8802[/C][C]0.190103[/C][/ROW]
[ROW][C]7[/C][C]-0.113316[/C][C]-1.3551[/C][C]0.088766[/C][/ROW]
[ROW][C]8[/C][C]-0.341796[/C][C]-4.0873[/C][C]3.6e-05[/C][/ROW]
[ROW][C]9[/C][C]-0.09467[/C][C]-1.1321[/C][C]0.129747[/C][/ROW]
[ROW][C]10[/C][C]-0.112903[/C][C]-1.3501[/C][C]0.089554[/C][/ROW]
[ROW][C]11[/C][C]0.178549[/C][C]2.1351[/C][C]0.017227[/C][/ROW]
[ROW][C]12[/C][C]0.828454[/C][C]9.9069[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]0.186414[/C][C]2.2292[/C][C]0.01368[/C][/ROW]
[ROW][C]14[/C][C]-0.155535[/C][C]-1.8599[/C][C]0.032475[/C][/ROW]
[ROW][C]15[/C][C]-0.087474[/C][C]-1.046[/C][C]0.148655[/C][/ROW]
[ROW][C]16[/C][C]-0.283857[/C][C]-3.3944[/C][C]0.000445[/C][/ROW]
[ROW][C]17[/C][C]-0.03716[/C][C]-0.4444[/C][C]0.328722[/C][/ROW]
[ROW][C]18[/C][C]0.04614[/C][C]0.5517[/C][C]0.290991[/C][/ROW]
[ROW][C]19[/C][C]-0.11755[/C][C]-1.4057[/C][C]0.080992[/C][/ROW]
[ROW][C]20[/C][C]-0.334202[/C][C]-3.9965[/C][C]5.1e-05[/C][/ROW]
[ROW][C]21[/C][C]-0.087867[/C][C]-1.0507[/C][C]0.147577[/C][/ROW]
[ROW][C]22[/C][C]-0.070138[/C][C]-0.8387[/C][C]0.201511[/C][/ROW]
[ROW][C]23[/C][C]0.173617[/C][C]2.0762[/C][C]0.019835[/C][/ROW]
[ROW][C]24[/C][C]0.714819[/C][C]8.548[/C][C]0[/C][/ROW]
[ROW][C]25[/C][C]0.168221[/C][C]2.0116[/C][C]0.023069[/C][/ROW]
[ROW][C]26[/C][C]-0.130113[/C][C]-1.5559[/C][C]0.060968[/C][/ROW]
[ROW][C]27[/C][C]-0.074009[/C][C]-0.885[/C][C]0.188815[/C][/ROW]
[ROW][C]28[/C][C]-0.209866[/C][C]-2.5096[/C][C]0.0066[/C][/ROW]
[ROW][C]29[/C][C]-0.057491[/C][C]-0.6875[/C][C]0.246441[/C][/ROW]
[ROW][C]30[/C][C]0.039903[/C][C]0.4772[/C][C]0.316986[/C][/ROW]
[ROW][C]31[/C][C]-0.120646[/C][C]-1.4427[/C][C]0.075643[/C][/ROW]
[ROW][C]32[/C][C]-0.28384[/C][C]-3.3942[/C][C]0.000445[/C][/ROW]
[ROW][C]33[/C][C]-0.111971[/C][C]-1.339[/C][C]0.091351[/C][/ROW]
[ROW][C]34[/C][C]-0.036132[/C][C]-0.4321[/C][C]0.33317[/C][/ROW]
[ROW][C]35[/C][C]0.120705[/C][C]1.4434[/C][C]0.075545[/C][/ROW]
[ROW][C]36[/C][C]0.642717[/C][C]7.6858[/C][C]0[/C][/ROW]
[ROW][C]37[/C][C]0.167829[/C][C]2.0069[/C][C]0.023321[/C][/ROW]
[ROW][C]38[/C][C]-0.1396[/C][C]-1.6694[/C][C]0.048616[/C][/ROW]
[ROW][C]39[/C][C]-0.033231[/C][C]-0.3974[/C][C]0.345838[/C][/ROW]
[ROW][C]40[/C][C]-0.164819[/C][C]-1.971[/C][C]0.02533[/C][/ROW]
[ROW][C]41[/C][C]-0.056585[/C][C]-0.6767[/C][C]0.249857[/C][/ROW]
[ROW][C]42[/C][C]0.02486[/C][C]0.2973[/C][C]0.383341[/C][/ROW]
[ROW][C]43[/C][C]-0.11444[/C][C]-1.3685[/C][C]0.08665[/C][/ROW]
[ROW][C]44[/C][C]-0.282136[/C][C]-3.3739[/C][C]0.000477[/C][/ROW]
[ROW][C]45[/C][C]-0.085155[/C][C]-1.0183[/C][C]0.155127[/C][/ROW]
[ROW][C]46[/C][C]-0.032182[/C][C]-0.3848[/C][C]0.350466[/C][/ROW]
[ROW][C]47[/C][C]0.101369[/C][C]1.2122[/C][C]0.113719[/C][/ROW]
[ROW][C]48[/C][C]0.576023[/C][C]6.8882[/C][C]0[/C][/ROW]
[ROW][C]49[/C][C]0.173263[/C][C]2.0719[/C][C]0.020035[/C][/ROW]
[ROW][C]50[/C][C]-0.144722[/C][C]-1.7306[/C][C]0.042838[/C][/ROW]
[ROW][C]51[/C][C]-0.028764[/C][C]-0.344[/C][C]0.365687[/C][/ROW]
[ROW][C]52[/C][C]-0.127238[/C][C]-1.5215[/C][C]0.065166[/C][/ROW]
[ROW][C]53[/C][C]-0.02832[/C][C]-0.3387[/C][C]0.367683[/C][/ROW]
[ROW][C]54[/C][C]0.020749[/C][C]0.2481[/C][C]0.402197[/C][/ROW]
[ROW][C]55[/C][C]-0.099388[/C][C]-1.1885[/C][C]0.118302[/C][/ROW]
[ROW][C]56[/C][C]-0.294915[/C][C]-3.5267[/C][C]0.000283[/C][/ROW]
[ROW][C]57[/C][C]-0.077932[/C][C]-0.9319[/C][C]0.176471[/C][/ROW]
[ROW][C]58[/C][C]-0.008891[/C][C]-0.1063[/C][C]0.457738[/C][/ROW]
[ROW][C]59[/C][C]0.087948[/C][C]1.0517[/C][C]0.147354[/C][/ROW]
[ROW][C]60[/C][C]0.511937[/C][C]6.1219[/C][C]0[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=28191&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=28191&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
10.1658431.98320.024631
2-0.133941-1.60170.055715
3-0.129333-1.54660.062086
4-0.322644-3.85838.6e-05
5-0.073719-0.88160.18975
60.0736090.88020.190103
7-0.113316-1.35510.088766
8-0.341796-4.08733.6e-05
9-0.09467-1.13210.129747
10-0.112903-1.35010.089554
110.1785492.13510.017227
120.8284549.90690
130.1864142.22920.01368
14-0.155535-1.85990.032475
15-0.087474-1.0460.148655
16-0.283857-3.39440.000445
17-0.03716-0.44440.328722
180.046140.55170.290991
19-0.11755-1.40570.080992
20-0.334202-3.99655.1e-05
21-0.087867-1.05070.147577
22-0.070138-0.83870.201511
230.1736172.07620.019835
240.7148198.5480
250.1682212.01160.023069
26-0.130113-1.55590.060968
27-0.074009-0.8850.188815
28-0.209866-2.50960.0066
29-0.057491-0.68750.246441
300.0399030.47720.316986
31-0.120646-1.44270.075643
32-0.28384-3.39420.000445
33-0.111971-1.3390.091351
34-0.036132-0.43210.33317
350.1207051.44340.075545
360.6427177.68580
370.1678292.00690.023321
38-0.1396-1.66940.048616
39-0.033231-0.39740.345838
40-0.164819-1.9710.02533
41-0.056585-0.67670.249857
420.024860.29730.383341
43-0.11444-1.36850.08665
44-0.282136-3.37390.000477
45-0.085155-1.01830.155127
46-0.032182-0.38480.350466
470.1013691.21220.113719
480.5760236.88820
490.1732632.07190.020035
50-0.144722-1.73060.042838
51-0.028764-0.3440.365687
52-0.127238-1.52150.065166
53-0.02832-0.33870.367683
540.0207490.24810.402197
55-0.099388-1.18850.118302
56-0.294915-3.52670.000283
57-0.077932-0.93190.176471
58-0.008891-0.10630.457738
590.0879481.05170.147354
600.5119376.12190







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.1658431.98320.024631
2-0.16601-1.98520.024518
3-0.080259-0.95980.169399
4-0.325887-3.8977.5e-05
50.0015280.01830.492722
6-0.031034-0.37110.355551
7-0.219548-2.62540.004798
8-0.493195-5.89780
9-0.18537-2.21670.014111
10-0.4888-5.84520
11-0.309755-3.70410.000151
120.5821156.96110
130.0669070.80010.212492
14-0.143996-1.72190.043621
150.135461.61990.053732
16-0.007042-0.08420.466503
170.0362250.43320.332766
18-0.143624-1.71750.044027
190.0962611.15110.125803
20-0.010024-0.11990.452377
21-0.055549-0.66430.253792
22-0.010406-0.12440.450573
230.0437440.52310.300855
240.0131020.15670.43786
25-0.044344-0.53030.298372
260.0563160.67340.250876
270.0453720.54260.294136
280.0556620.66560.253362
29-0.08479-1.01390.156162
300.0329720.39430.346979
310.0920121.10030.136524
320.0977911.16940.122092
33-0.08087-0.96710.167572
340.055370.66210.254478
35-0.087378-1.04490.14892
360.0976241.16740.122492
37-0.0168-0.20090.420534
38-0.078706-0.94120.174098
390.0970481.16050.123884
400.0374150.44740.327624
41-0.046228-0.55280.29063
420.0359210.42960.334082
43-0.00415-0.04960.480243
44-0.039538-0.47280.318537
450.0110750.13240.447411
460.0079630.09520.462137
470.0262840.31430.37687
480.060720.72610.234481
49-0.029967-0.35840.360304
500.0625570.74810.227822
51-0.094311-1.12780.130648
520.0322340.38550.350233
530.1017461.21670.11286
54-0.02318-0.27720.391016
550.0806330.96420.168278
56-0.014753-0.17640.430107
570.0334730.40030.344775
580.0569560.68110.248457
590.0477940.57150.284268
60-0.001457-0.01740.493061

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.165843 & 1.9832 & 0.024631 \tabularnewline
2 & -0.16601 & -1.9852 & 0.024518 \tabularnewline
3 & -0.080259 & -0.9598 & 0.169399 \tabularnewline
4 & -0.325887 & -3.897 & 7.5e-05 \tabularnewline
5 & 0.001528 & 0.0183 & 0.492722 \tabularnewline
6 & -0.031034 & -0.3711 & 0.355551 \tabularnewline
7 & -0.219548 & -2.6254 & 0.004798 \tabularnewline
8 & -0.493195 & -5.8978 & 0 \tabularnewline
9 & -0.18537 & -2.2167 & 0.014111 \tabularnewline
10 & -0.4888 & -5.8452 & 0 \tabularnewline
11 & -0.309755 & -3.7041 & 0.000151 \tabularnewline
12 & 0.582115 & 6.9611 & 0 \tabularnewline
13 & 0.066907 & 0.8001 & 0.212492 \tabularnewline
14 & -0.143996 & -1.7219 & 0.043621 \tabularnewline
15 & 0.13546 & 1.6199 & 0.053732 \tabularnewline
16 & -0.007042 & -0.0842 & 0.466503 \tabularnewline
17 & 0.036225 & 0.4332 & 0.332766 \tabularnewline
18 & -0.143624 & -1.7175 & 0.044027 \tabularnewline
19 & 0.096261 & 1.1511 & 0.125803 \tabularnewline
20 & -0.010024 & -0.1199 & 0.452377 \tabularnewline
21 & -0.055549 & -0.6643 & 0.253792 \tabularnewline
22 & -0.010406 & -0.1244 & 0.450573 \tabularnewline
23 & 0.043744 & 0.5231 & 0.300855 \tabularnewline
24 & 0.013102 & 0.1567 & 0.43786 \tabularnewline
25 & -0.044344 & -0.5303 & 0.298372 \tabularnewline
26 & 0.056316 & 0.6734 & 0.250876 \tabularnewline
27 & 0.045372 & 0.5426 & 0.294136 \tabularnewline
28 & 0.055662 & 0.6656 & 0.253362 \tabularnewline
29 & -0.08479 & -1.0139 & 0.156162 \tabularnewline
30 & 0.032972 & 0.3943 & 0.346979 \tabularnewline
31 & 0.092012 & 1.1003 & 0.136524 \tabularnewline
32 & 0.097791 & 1.1694 & 0.122092 \tabularnewline
33 & -0.08087 & -0.9671 & 0.167572 \tabularnewline
34 & 0.05537 & 0.6621 & 0.254478 \tabularnewline
35 & -0.087378 & -1.0449 & 0.14892 \tabularnewline
36 & 0.097624 & 1.1674 & 0.122492 \tabularnewline
37 & -0.0168 & -0.2009 & 0.420534 \tabularnewline
38 & -0.078706 & -0.9412 & 0.174098 \tabularnewline
39 & 0.097048 & 1.1605 & 0.123884 \tabularnewline
40 & 0.037415 & 0.4474 & 0.327624 \tabularnewline
41 & -0.046228 & -0.5528 & 0.29063 \tabularnewline
42 & 0.035921 & 0.4296 & 0.334082 \tabularnewline
43 & -0.00415 & -0.0496 & 0.480243 \tabularnewline
44 & -0.039538 & -0.4728 & 0.318537 \tabularnewline
45 & 0.011075 & 0.1324 & 0.447411 \tabularnewline
46 & 0.007963 & 0.0952 & 0.462137 \tabularnewline
47 & 0.026284 & 0.3143 & 0.37687 \tabularnewline
48 & 0.06072 & 0.7261 & 0.234481 \tabularnewline
49 & -0.029967 & -0.3584 & 0.360304 \tabularnewline
50 & 0.062557 & 0.7481 & 0.227822 \tabularnewline
51 & -0.094311 & -1.1278 & 0.130648 \tabularnewline
52 & 0.032234 & 0.3855 & 0.350233 \tabularnewline
53 & 0.101746 & 1.2167 & 0.11286 \tabularnewline
54 & -0.02318 & -0.2772 & 0.391016 \tabularnewline
55 & 0.080633 & 0.9642 & 0.168278 \tabularnewline
56 & -0.014753 & -0.1764 & 0.430107 \tabularnewline
57 & 0.033473 & 0.4003 & 0.344775 \tabularnewline
58 & 0.056956 & 0.6811 & 0.248457 \tabularnewline
59 & 0.047794 & 0.5715 & 0.284268 \tabularnewline
60 & -0.001457 & -0.0174 & 0.493061 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=28191&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]0.165843[/C][C]1.9832[/C][C]0.024631[/C][/ROW]
[ROW][C]2[/C][C]-0.16601[/C][C]-1.9852[/C][C]0.024518[/C][/ROW]
[ROW][C]3[/C][C]-0.080259[/C][C]-0.9598[/C][C]0.169399[/C][/ROW]
[ROW][C]4[/C][C]-0.325887[/C][C]-3.897[/C][C]7.5e-05[/C][/ROW]
[ROW][C]5[/C][C]0.001528[/C][C]0.0183[/C][C]0.492722[/C][/ROW]
[ROW][C]6[/C][C]-0.031034[/C][C]-0.3711[/C][C]0.355551[/C][/ROW]
[ROW][C]7[/C][C]-0.219548[/C][C]-2.6254[/C][C]0.004798[/C][/ROW]
[ROW][C]8[/C][C]-0.493195[/C][C]-5.8978[/C][C]0[/C][/ROW]
[ROW][C]9[/C][C]-0.18537[/C][C]-2.2167[/C][C]0.014111[/C][/ROW]
[ROW][C]10[/C][C]-0.4888[/C][C]-5.8452[/C][C]0[/C][/ROW]
[ROW][C]11[/C][C]-0.309755[/C][C]-3.7041[/C][C]0.000151[/C][/ROW]
[ROW][C]12[/C][C]0.582115[/C][C]6.9611[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]0.066907[/C][C]0.8001[/C][C]0.212492[/C][/ROW]
[ROW][C]14[/C][C]-0.143996[/C][C]-1.7219[/C][C]0.043621[/C][/ROW]
[ROW][C]15[/C][C]0.13546[/C][C]1.6199[/C][C]0.053732[/C][/ROW]
[ROW][C]16[/C][C]-0.007042[/C][C]-0.0842[/C][C]0.466503[/C][/ROW]
[ROW][C]17[/C][C]0.036225[/C][C]0.4332[/C][C]0.332766[/C][/ROW]
[ROW][C]18[/C][C]-0.143624[/C][C]-1.7175[/C][C]0.044027[/C][/ROW]
[ROW][C]19[/C][C]0.096261[/C][C]1.1511[/C][C]0.125803[/C][/ROW]
[ROW][C]20[/C][C]-0.010024[/C][C]-0.1199[/C][C]0.452377[/C][/ROW]
[ROW][C]21[/C][C]-0.055549[/C][C]-0.6643[/C][C]0.253792[/C][/ROW]
[ROW][C]22[/C][C]-0.010406[/C][C]-0.1244[/C][C]0.450573[/C][/ROW]
[ROW][C]23[/C][C]0.043744[/C][C]0.5231[/C][C]0.300855[/C][/ROW]
[ROW][C]24[/C][C]0.013102[/C][C]0.1567[/C][C]0.43786[/C][/ROW]
[ROW][C]25[/C][C]-0.044344[/C][C]-0.5303[/C][C]0.298372[/C][/ROW]
[ROW][C]26[/C][C]0.056316[/C][C]0.6734[/C][C]0.250876[/C][/ROW]
[ROW][C]27[/C][C]0.045372[/C][C]0.5426[/C][C]0.294136[/C][/ROW]
[ROW][C]28[/C][C]0.055662[/C][C]0.6656[/C][C]0.253362[/C][/ROW]
[ROW][C]29[/C][C]-0.08479[/C][C]-1.0139[/C][C]0.156162[/C][/ROW]
[ROW][C]30[/C][C]0.032972[/C][C]0.3943[/C][C]0.346979[/C][/ROW]
[ROW][C]31[/C][C]0.092012[/C][C]1.1003[/C][C]0.136524[/C][/ROW]
[ROW][C]32[/C][C]0.097791[/C][C]1.1694[/C][C]0.122092[/C][/ROW]
[ROW][C]33[/C][C]-0.08087[/C][C]-0.9671[/C][C]0.167572[/C][/ROW]
[ROW][C]34[/C][C]0.05537[/C][C]0.6621[/C][C]0.254478[/C][/ROW]
[ROW][C]35[/C][C]-0.087378[/C][C]-1.0449[/C][C]0.14892[/C][/ROW]
[ROW][C]36[/C][C]0.097624[/C][C]1.1674[/C][C]0.122492[/C][/ROW]
[ROW][C]37[/C][C]-0.0168[/C][C]-0.2009[/C][C]0.420534[/C][/ROW]
[ROW][C]38[/C][C]-0.078706[/C][C]-0.9412[/C][C]0.174098[/C][/ROW]
[ROW][C]39[/C][C]0.097048[/C][C]1.1605[/C][C]0.123884[/C][/ROW]
[ROW][C]40[/C][C]0.037415[/C][C]0.4474[/C][C]0.327624[/C][/ROW]
[ROW][C]41[/C][C]-0.046228[/C][C]-0.5528[/C][C]0.29063[/C][/ROW]
[ROW][C]42[/C][C]0.035921[/C][C]0.4296[/C][C]0.334082[/C][/ROW]
[ROW][C]43[/C][C]-0.00415[/C][C]-0.0496[/C][C]0.480243[/C][/ROW]
[ROW][C]44[/C][C]-0.039538[/C][C]-0.4728[/C][C]0.318537[/C][/ROW]
[ROW][C]45[/C][C]0.011075[/C][C]0.1324[/C][C]0.447411[/C][/ROW]
[ROW][C]46[/C][C]0.007963[/C][C]0.0952[/C][C]0.462137[/C][/ROW]
[ROW][C]47[/C][C]0.026284[/C][C]0.3143[/C][C]0.37687[/C][/ROW]
[ROW][C]48[/C][C]0.06072[/C][C]0.7261[/C][C]0.234481[/C][/ROW]
[ROW][C]49[/C][C]-0.029967[/C][C]-0.3584[/C][C]0.360304[/C][/ROW]
[ROW][C]50[/C][C]0.062557[/C][C]0.7481[/C][C]0.227822[/C][/ROW]
[ROW][C]51[/C][C]-0.094311[/C][C]-1.1278[/C][C]0.130648[/C][/ROW]
[ROW][C]52[/C][C]0.032234[/C][C]0.3855[/C][C]0.350233[/C][/ROW]
[ROW][C]53[/C][C]0.101746[/C][C]1.2167[/C][C]0.11286[/C][/ROW]
[ROW][C]54[/C][C]-0.02318[/C][C]-0.2772[/C][C]0.391016[/C][/ROW]
[ROW][C]55[/C][C]0.080633[/C][C]0.9642[/C][C]0.168278[/C][/ROW]
[ROW][C]56[/C][C]-0.014753[/C][C]-0.1764[/C][C]0.430107[/C][/ROW]
[ROW][C]57[/C][C]0.033473[/C][C]0.4003[/C][C]0.344775[/C][/ROW]
[ROW][C]58[/C][C]0.056956[/C][C]0.6811[/C][C]0.248457[/C][/ROW]
[ROW][C]59[/C][C]0.047794[/C][C]0.5715[/C][C]0.284268[/C][/ROW]
[ROW][C]60[/C][C]-0.001457[/C][C]-0.0174[/C][C]0.493061[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=28191&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=28191&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
10.1658431.98320.024631
2-0.16601-1.98520.024518
3-0.080259-0.95980.169399
4-0.325887-3.8977.5e-05
50.0015280.01830.492722
6-0.031034-0.37110.355551
7-0.219548-2.62540.004798
8-0.493195-5.89780
9-0.18537-2.21670.014111
10-0.4888-5.84520
11-0.309755-3.70410.000151
120.5821156.96110
130.0669070.80010.212492
14-0.143996-1.72190.043621
150.135461.61990.053732
16-0.007042-0.08420.466503
170.0362250.43320.332766
18-0.143624-1.71750.044027
190.0962611.15110.125803
20-0.010024-0.11990.452377
21-0.055549-0.66430.253792
22-0.010406-0.12440.450573
230.0437440.52310.300855
240.0131020.15670.43786
25-0.044344-0.53030.298372
260.0563160.67340.250876
270.0453720.54260.294136
280.0556620.66560.253362
29-0.08479-1.01390.156162
300.0329720.39430.346979
310.0920121.10030.136524
320.0977911.16940.122092
33-0.08087-0.96710.167572
340.055370.66210.254478
35-0.087378-1.04490.14892
360.0976241.16740.122492
37-0.0168-0.20090.420534
38-0.078706-0.94120.174098
390.0970481.16050.123884
400.0374150.44740.327624
41-0.046228-0.55280.29063
420.0359210.42960.334082
43-0.00415-0.04960.480243
44-0.039538-0.47280.318537
450.0110750.13240.447411
460.0079630.09520.462137
470.0262840.31430.37687
480.060720.72610.234481
49-0.029967-0.35840.360304
500.0625570.74810.227822
51-0.094311-1.12780.130648
520.0322340.38550.350233
530.1017461.21670.11286
54-0.02318-0.27720.391016
550.0806330.96420.168278
56-0.014753-0.17640.430107
570.0334730.40030.344775
580.0569560.68110.248457
590.0477940.57150.284268
60-0.001457-0.01740.493061



Parameters (Session):
par1 = 60 ; par2 = -0.3 ; par3 = 1 ; par4 = 0 ; par5 = 12 ;
Parameters (R input):
par1 = 60 ; par2 = -0.3 ; par3 = 1 ; 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')