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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 computationFri, 05 Dec 2008 03:52:48 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Dec/05/t1228474403vxpcjfutqo148te.htm/, Retrieved Thu, 16 May 2024 09:46:43 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=29157, Retrieved Thu, 16 May 2024 09:46:43 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact195
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [Werkloosheid VLAA...] [2008-10-19 10:39:43] [46c5a5fbda57fdfa1d4ef48658f82a0c]
- RMPD    [(Partial) Autocorrelation Function] [Taak 8 - Step 3 A...] [2008-12-05 10:52:48] [b23db733701c4d62df5e228d507c1c6a] [Current]
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Dataseries X:
267.850
255.468
246.717
238.276
229.336
231.047
264.440
261.308
257.844
253.687
248.286
248.641
243.753
233.495
222.356
211.333
202.478
202.746
238.802
235.385
224.820
219.386
213.106
213.166
208.201
197.775
189.191
178.543
171.809
172.365
204.140
205.467
193.079
190.224
185.553
185.184
183.059
175.496
168.120
160.374
155.290
156.152
189.784
192.250
184.896
184.835
180.172
181.875
182.412
180.627
174.303
169.431
163.902
166.114
198.414
205.626
199.333
199.588
196.569
200.880
201.579
195.483
190.617
187.576
183.968
186.998
216.617
224.692
222.476
223.247
225.618
232.758
235.868
232.863
227.564
226.822
223.864
227.155
260.300
273.944
270.779
268.104
268.703
273.413
275.597
270.111
262.272
255.823
250.753
250.512
277.888
289.694
281.310
275.425
271.287
274.059
274.113
267.546
257.622
250.612
243.829
243.180
275.362
287.027
279.175
282.416
275.424
277.862
284.998
272.182
258.613
253.046
243.315
234.312
265.912
279.384
262.547
256.102
251.133
249.598
251.592
244.976
237.527
232.790
224.726
223.918
252.637
263.736
251.143
239.530
232.401
233.749
232.055
224.473
215.866
207.808
199.440
193.330
222.787
241.434
221.263
207.448
200.241
205.009
206.230
198.253
194.660
185.847
180.314
176.282
203.541
222.042
197.519
185.142
176.355
180.448
180.143
173.666
165.687
162.719
157.079
153.730
182.698
200.765
176.512
166.618
158.644
159.585
163.095
159.044
155.511
153.745
150.569
150.605
179.612
194.690
189.917
184.128
175.335
179.566
181.140
177.876
175.041
169.292
166.070
166.972
206.348
215.706
202.108
195.411
193.111
195.198
198.770
194.163
190.420
189.733
186.029
191.531
232.571
243.477
227.247
217.859
208.679
213.188
216.234
213.587
209.465
204.045
200.237
203.666
241.476
260.307
243.324
244.460
233.575
237.217
235.243
230.354
227.184
221.678
217.142
219.452
256.446
265.845
248.624
241.114
229.245
231.805
219.277
219.313
212.610
214.771
211.142
211.457
240.048
240.636
230.580
208.795
197.922
194.596
194.581
185.686
178.106
172.608
167.302
168.053
202.300
202.388
182.516
173.476
166.444
171.297




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=29157&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=29157&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=29157&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
1-0.039846-0.6160.269239
20.1165091.80120.036467
30.0929031.43620.07612
40.1148111.77490.03859
50.057730.89250.186515
60.0504880.78050.217929
70.1148221.77510.038576
8-0.087219-1.34840.089407
90.0857961.32640.092992
100.0233160.36050.359413
110.0327110.50570.306769
12-0.26565-4.10682.8e-05
130.1012361.56510.059445
140.0580430.89730.185226
15-0.096555-1.49270.068417
160.058210.89990.184537
17-0.026955-0.41670.338633
180.0956371.47850.070294
19-0.009024-0.13950.444585
200.1591862.4610.007282
210.0494870.7650.222499
22-0.032547-0.50320.307655
230.0847621.31040.095661
24-0.084231-1.30220.097054
250.029820.4610.322609
26-0.063695-0.98470.162884
270.1182481.82810.034392
28-0.04242-0.65580.256295
290.0053870.08330.46685
30-0.098419-1.52150.064726
31-0.014824-0.22920.409468
32-0.006003-0.09280.463069
33-0.028968-0.44780.327341
340.0140340.2170.414215
350.0136040.21030.416802
36-0.028086-0.43420.332268
370.0686061.06060.144966
38-0.022675-0.35050.363118
39-0.086279-1.33380.091763
40-0.033388-0.51620.303105
410.0067240.10390.458649
42-0.079364-1.22690.110526
43-0.001015-0.01570.493745
44-0.116067-1.79440.03701
45-0.030859-0.47710.316875
460.0053870.08330.46685
47-0.075762-1.17130.121332
48-0.020058-0.31010.37838
49-0.152689-2.36050.009527
50-0.006679-0.10330.458926
51-0.010137-0.15670.437803
52-0.036407-0.56280.287037
53-0.088129-1.36240.087171
540.0808081.24930.106396
55-1.4e-05-2e-040.499915
56-0.061759-0.95480.170329
57-0.111935-1.73050.042418
58-0.110493-1.70820.04445
59-0.101279-1.56570.059366
60-0.005341-0.08260.467128

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & -0.039846 & -0.616 & 0.269239 \tabularnewline
2 & 0.116509 & 1.8012 & 0.036467 \tabularnewline
3 & 0.092903 & 1.4362 & 0.07612 \tabularnewline
4 & 0.114811 & 1.7749 & 0.03859 \tabularnewline
5 & 0.05773 & 0.8925 & 0.186515 \tabularnewline
6 & 0.050488 & 0.7805 & 0.217929 \tabularnewline
7 & 0.114822 & 1.7751 & 0.038576 \tabularnewline
8 & -0.087219 & -1.3484 & 0.089407 \tabularnewline
9 & 0.085796 & 1.3264 & 0.092992 \tabularnewline
10 & 0.023316 & 0.3605 & 0.359413 \tabularnewline
11 & 0.032711 & 0.5057 & 0.306769 \tabularnewline
12 & -0.26565 & -4.1068 & 2.8e-05 \tabularnewline
13 & 0.101236 & 1.5651 & 0.059445 \tabularnewline
14 & 0.058043 & 0.8973 & 0.185226 \tabularnewline
15 & -0.096555 & -1.4927 & 0.068417 \tabularnewline
16 & 0.05821 & 0.8999 & 0.184537 \tabularnewline
17 & -0.026955 & -0.4167 & 0.338633 \tabularnewline
18 & 0.095637 & 1.4785 & 0.070294 \tabularnewline
19 & -0.009024 & -0.1395 & 0.444585 \tabularnewline
20 & 0.159186 & 2.461 & 0.007282 \tabularnewline
21 & 0.049487 & 0.765 & 0.222499 \tabularnewline
22 & -0.032547 & -0.5032 & 0.307655 \tabularnewline
23 & 0.084762 & 1.3104 & 0.095661 \tabularnewline
24 & -0.084231 & -1.3022 & 0.097054 \tabularnewline
25 & 0.02982 & 0.461 & 0.322609 \tabularnewline
26 & -0.063695 & -0.9847 & 0.162884 \tabularnewline
27 & 0.118248 & 1.8281 & 0.034392 \tabularnewline
28 & -0.04242 & -0.6558 & 0.256295 \tabularnewline
29 & 0.005387 & 0.0833 & 0.46685 \tabularnewline
30 & -0.098419 & -1.5215 & 0.064726 \tabularnewline
31 & -0.014824 & -0.2292 & 0.409468 \tabularnewline
32 & -0.006003 & -0.0928 & 0.463069 \tabularnewline
33 & -0.028968 & -0.4478 & 0.327341 \tabularnewline
34 & 0.014034 & 0.217 & 0.414215 \tabularnewline
35 & 0.013604 & 0.2103 & 0.416802 \tabularnewline
36 & -0.028086 & -0.4342 & 0.332268 \tabularnewline
37 & 0.068606 & 1.0606 & 0.144966 \tabularnewline
38 & -0.022675 & -0.3505 & 0.363118 \tabularnewline
39 & -0.086279 & -1.3338 & 0.091763 \tabularnewline
40 & -0.033388 & -0.5162 & 0.303105 \tabularnewline
41 & 0.006724 & 0.1039 & 0.458649 \tabularnewline
42 & -0.079364 & -1.2269 & 0.110526 \tabularnewline
43 & -0.001015 & -0.0157 & 0.493745 \tabularnewline
44 & -0.116067 & -1.7944 & 0.03701 \tabularnewline
45 & -0.030859 & -0.4771 & 0.316875 \tabularnewline
46 & 0.005387 & 0.0833 & 0.46685 \tabularnewline
47 & -0.075762 & -1.1713 & 0.121332 \tabularnewline
48 & -0.020058 & -0.3101 & 0.37838 \tabularnewline
49 & -0.152689 & -2.3605 & 0.009527 \tabularnewline
50 & -0.006679 & -0.1033 & 0.458926 \tabularnewline
51 & -0.010137 & -0.1567 & 0.437803 \tabularnewline
52 & -0.036407 & -0.5628 & 0.287037 \tabularnewline
53 & -0.088129 & -1.3624 & 0.087171 \tabularnewline
54 & 0.080808 & 1.2493 & 0.106396 \tabularnewline
55 & -1.4e-05 & -2e-04 & 0.499915 \tabularnewline
56 & -0.061759 & -0.9548 & 0.170329 \tabularnewline
57 & -0.111935 & -1.7305 & 0.042418 \tabularnewline
58 & -0.110493 & -1.7082 & 0.04445 \tabularnewline
59 & -0.101279 & -1.5657 & 0.059366 \tabularnewline
60 & -0.005341 & -0.0826 & 0.467128 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=29157&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]-0.039846[/C][C]-0.616[/C][C]0.269239[/C][/ROW]
[ROW][C]2[/C][C]0.116509[/C][C]1.8012[/C][C]0.036467[/C][/ROW]
[ROW][C]3[/C][C]0.092903[/C][C]1.4362[/C][C]0.07612[/C][/ROW]
[ROW][C]4[/C][C]0.114811[/C][C]1.7749[/C][C]0.03859[/C][/ROW]
[ROW][C]5[/C][C]0.05773[/C][C]0.8925[/C][C]0.186515[/C][/ROW]
[ROW][C]6[/C][C]0.050488[/C][C]0.7805[/C][C]0.217929[/C][/ROW]
[ROW][C]7[/C][C]0.114822[/C][C]1.7751[/C][C]0.038576[/C][/ROW]
[ROW][C]8[/C][C]-0.087219[/C][C]-1.3484[/C][C]0.089407[/C][/ROW]
[ROW][C]9[/C][C]0.085796[/C][C]1.3264[/C][C]0.092992[/C][/ROW]
[ROW][C]10[/C][C]0.023316[/C][C]0.3605[/C][C]0.359413[/C][/ROW]
[ROW][C]11[/C][C]0.032711[/C][C]0.5057[/C][C]0.306769[/C][/ROW]
[ROW][C]12[/C][C]-0.26565[/C][C]-4.1068[/C][C]2.8e-05[/C][/ROW]
[ROW][C]13[/C][C]0.101236[/C][C]1.5651[/C][C]0.059445[/C][/ROW]
[ROW][C]14[/C][C]0.058043[/C][C]0.8973[/C][C]0.185226[/C][/ROW]
[ROW][C]15[/C][C]-0.096555[/C][C]-1.4927[/C][C]0.068417[/C][/ROW]
[ROW][C]16[/C][C]0.05821[/C][C]0.8999[/C][C]0.184537[/C][/ROW]
[ROW][C]17[/C][C]-0.026955[/C][C]-0.4167[/C][C]0.338633[/C][/ROW]
[ROW][C]18[/C][C]0.095637[/C][C]1.4785[/C][C]0.070294[/C][/ROW]
[ROW][C]19[/C][C]-0.009024[/C][C]-0.1395[/C][C]0.444585[/C][/ROW]
[ROW][C]20[/C][C]0.159186[/C][C]2.461[/C][C]0.007282[/C][/ROW]
[ROW][C]21[/C][C]0.049487[/C][C]0.765[/C][C]0.222499[/C][/ROW]
[ROW][C]22[/C][C]-0.032547[/C][C]-0.5032[/C][C]0.307655[/C][/ROW]
[ROW][C]23[/C][C]0.084762[/C][C]1.3104[/C][C]0.095661[/C][/ROW]
[ROW][C]24[/C][C]-0.084231[/C][C]-1.3022[/C][C]0.097054[/C][/ROW]
[ROW][C]25[/C][C]0.02982[/C][C]0.461[/C][C]0.322609[/C][/ROW]
[ROW][C]26[/C][C]-0.063695[/C][C]-0.9847[/C][C]0.162884[/C][/ROW]
[ROW][C]27[/C][C]0.118248[/C][C]1.8281[/C][C]0.034392[/C][/ROW]
[ROW][C]28[/C][C]-0.04242[/C][C]-0.6558[/C][C]0.256295[/C][/ROW]
[ROW][C]29[/C][C]0.005387[/C][C]0.0833[/C][C]0.46685[/C][/ROW]
[ROW][C]30[/C][C]-0.098419[/C][C]-1.5215[/C][C]0.064726[/C][/ROW]
[ROW][C]31[/C][C]-0.014824[/C][C]-0.2292[/C][C]0.409468[/C][/ROW]
[ROW][C]32[/C][C]-0.006003[/C][C]-0.0928[/C][C]0.463069[/C][/ROW]
[ROW][C]33[/C][C]-0.028968[/C][C]-0.4478[/C][C]0.327341[/C][/ROW]
[ROW][C]34[/C][C]0.014034[/C][C]0.217[/C][C]0.414215[/C][/ROW]
[ROW][C]35[/C][C]0.013604[/C][C]0.2103[/C][C]0.416802[/C][/ROW]
[ROW][C]36[/C][C]-0.028086[/C][C]-0.4342[/C][C]0.332268[/C][/ROW]
[ROW][C]37[/C][C]0.068606[/C][C]1.0606[/C][C]0.144966[/C][/ROW]
[ROW][C]38[/C][C]-0.022675[/C][C]-0.3505[/C][C]0.363118[/C][/ROW]
[ROW][C]39[/C][C]-0.086279[/C][C]-1.3338[/C][C]0.091763[/C][/ROW]
[ROW][C]40[/C][C]-0.033388[/C][C]-0.5162[/C][C]0.303105[/C][/ROW]
[ROW][C]41[/C][C]0.006724[/C][C]0.1039[/C][C]0.458649[/C][/ROW]
[ROW][C]42[/C][C]-0.079364[/C][C]-1.2269[/C][C]0.110526[/C][/ROW]
[ROW][C]43[/C][C]-0.001015[/C][C]-0.0157[/C][C]0.493745[/C][/ROW]
[ROW][C]44[/C][C]-0.116067[/C][C]-1.7944[/C][C]0.03701[/C][/ROW]
[ROW][C]45[/C][C]-0.030859[/C][C]-0.4771[/C][C]0.316875[/C][/ROW]
[ROW][C]46[/C][C]0.005387[/C][C]0.0833[/C][C]0.46685[/C][/ROW]
[ROW][C]47[/C][C]-0.075762[/C][C]-1.1713[/C][C]0.121332[/C][/ROW]
[ROW][C]48[/C][C]-0.020058[/C][C]-0.3101[/C][C]0.37838[/C][/ROW]
[ROW][C]49[/C][C]-0.152689[/C][C]-2.3605[/C][C]0.009527[/C][/ROW]
[ROW][C]50[/C][C]-0.006679[/C][C]-0.1033[/C][C]0.458926[/C][/ROW]
[ROW][C]51[/C][C]-0.010137[/C][C]-0.1567[/C][C]0.437803[/C][/ROW]
[ROW][C]52[/C][C]-0.036407[/C][C]-0.5628[/C][C]0.287037[/C][/ROW]
[ROW][C]53[/C][C]-0.088129[/C][C]-1.3624[/C][C]0.087171[/C][/ROW]
[ROW][C]54[/C][C]0.080808[/C][C]1.2493[/C][C]0.106396[/C][/ROW]
[ROW][C]55[/C][C]-1.4e-05[/C][C]-2e-04[/C][C]0.499915[/C][/ROW]
[ROW][C]56[/C][C]-0.061759[/C][C]-0.9548[/C][C]0.170329[/C][/ROW]
[ROW][C]57[/C][C]-0.111935[/C][C]-1.7305[/C][C]0.042418[/C][/ROW]
[ROW][C]58[/C][C]-0.110493[/C][C]-1.7082[/C][C]0.04445[/C][/ROW]
[ROW][C]59[/C][C]-0.101279[/C][C]-1.5657[/C][C]0.059366[/C][/ROW]
[ROW][C]60[/C][C]-0.005341[/C][C]-0.0826[/C][C]0.467128[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=29157&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=29157&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
1-0.039846-0.6160.269239
20.1165091.80120.036467
30.0929031.43620.07612
40.1148111.77490.03859
50.057730.89250.186515
60.0504880.78050.217929
70.1148221.77510.038576
8-0.087219-1.34840.089407
90.0857961.32640.092992
100.0233160.36050.359413
110.0327110.50570.306769
12-0.26565-4.10682.8e-05
130.1012361.56510.059445
140.0580430.89730.185226
15-0.096555-1.49270.068417
160.058210.89990.184537
17-0.026955-0.41670.338633
180.0956371.47850.070294
19-0.009024-0.13950.444585
200.1591862.4610.007282
210.0494870.7650.222499
22-0.032547-0.50320.307655
230.0847621.31040.095661
24-0.084231-1.30220.097054
250.029820.4610.322609
26-0.063695-0.98470.162884
270.1182481.82810.034392
28-0.04242-0.65580.256295
290.0053870.08330.46685
30-0.098419-1.52150.064726
31-0.014824-0.22920.409468
32-0.006003-0.09280.463069
33-0.028968-0.44780.327341
340.0140340.2170.414215
350.0136040.21030.416802
36-0.028086-0.43420.332268
370.0686061.06060.144966
38-0.022675-0.35050.363118
39-0.086279-1.33380.091763
40-0.033388-0.51620.303105
410.0067240.10390.458649
42-0.079364-1.22690.110526
43-0.001015-0.01570.493745
44-0.116067-1.79440.03701
45-0.030859-0.47710.316875
460.0053870.08330.46685
47-0.075762-1.17130.121332
48-0.020058-0.31010.37838
49-0.152689-2.36050.009527
50-0.006679-0.10330.458926
51-0.010137-0.15670.437803
52-0.036407-0.56280.287037
53-0.088129-1.36240.087171
540.0808081.24930.106396
55-1.4e-05-2e-040.499915
56-0.061759-0.95480.170329
57-0.111935-1.73050.042418
58-0.110493-1.70820.04445
59-0.101279-1.56570.059366
60-0.005341-0.08260.467128







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
1-0.039846-0.6160.269239
20.1151041.77950.038217
30.1031251.59430.056097
40.1123051.73620.041909
50.0483380.74730.22781
60.0224980.34780.364142
70.0890881.37730.08486
8-0.11023-1.70410.04483
90.0371040.57360.283385
100.0208550.32240.373709
110.0155050.23970.405383
12-0.285615-4.41558e-06
130.0619920.95840.169422
140.1190971.84120.033416
15-0.058739-0.90810.182375
160.0516240.79810.212807
170.0053730.08310.466933
180.1113911.72210.043176
190.0416710.64420.260026
200.0793811.22720.110476
210.0925641.4310.076868
22-0.054556-0.84340.19992
23-0.000978-0.01510.493972
24-0.218804-3.38260.000419
250.0128420.19850.421402
26-0.016038-0.24790.402199
270.0401390.62050.26775
280.0290670.44940.326788
29-0.00224-0.03460.486204
30-0.082353-1.27310.102102
31-0.000156-0.00240.49904
320.0553660.85590.196444
330.0585120.90460.183301
34-0.042355-0.65480.256616
350.1020241.57730.05803
36-0.14878-2.30010.011153
370.1060651.63970.051189
38-0.07314-1.13070.129653
39-0.108769-1.68150.046983
40-0.053246-0.82320.205619
41-0.047877-0.74020.229964
42-0.099981-1.54570.061753
430.044180.6830.247633
44-0.050858-0.78620.216252
450.0318240.4920.311588
460.0393220.60790.271916
470.0124510.19250.423763
48-0.088876-1.3740.085366
49-0.022721-0.35130.362851
50-0.019886-0.30740.379394
510.0302560.46770.320196
52-0.027946-0.4320.333054
53-0.08983-1.38870.083102
540.0493530.7630.223114
550.0388510.60060.274332
56-0.126938-1.96240.025438
57-0.142352-2.20070.014357
58-0.098041-1.51570.065462
59-0.058935-0.91110.181578
600.0197440.30520.380226

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & -0.039846 & -0.616 & 0.269239 \tabularnewline
2 & 0.115104 & 1.7795 & 0.038217 \tabularnewline
3 & 0.103125 & 1.5943 & 0.056097 \tabularnewline
4 & 0.112305 & 1.7362 & 0.041909 \tabularnewline
5 & 0.048338 & 0.7473 & 0.22781 \tabularnewline
6 & 0.022498 & 0.3478 & 0.364142 \tabularnewline
7 & 0.089088 & 1.3773 & 0.08486 \tabularnewline
8 & -0.11023 & -1.7041 & 0.04483 \tabularnewline
9 & 0.037104 & 0.5736 & 0.283385 \tabularnewline
10 & 0.020855 & 0.3224 & 0.373709 \tabularnewline
11 & 0.015505 & 0.2397 & 0.405383 \tabularnewline
12 & -0.285615 & -4.4155 & 8e-06 \tabularnewline
13 & 0.061992 & 0.9584 & 0.169422 \tabularnewline
14 & 0.119097 & 1.8412 & 0.033416 \tabularnewline
15 & -0.058739 & -0.9081 & 0.182375 \tabularnewline
16 & 0.051624 & 0.7981 & 0.212807 \tabularnewline
17 & 0.005373 & 0.0831 & 0.466933 \tabularnewline
18 & 0.111391 & 1.7221 & 0.043176 \tabularnewline
19 & 0.041671 & 0.6442 & 0.260026 \tabularnewline
20 & 0.079381 & 1.2272 & 0.110476 \tabularnewline
21 & 0.092564 & 1.431 & 0.076868 \tabularnewline
22 & -0.054556 & -0.8434 & 0.19992 \tabularnewline
23 & -0.000978 & -0.0151 & 0.493972 \tabularnewline
24 & -0.218804 & -3.3826 & 0.000419 \tabularnewline
25 & 0.012842 & 0.1985 & 0.421402 \tabularnewline
26 & -0.016038 & -0.2479 & 0.402199 \tabularnewline
27 & 0.040139 & 0.6205 & 0.26775 \tabularnewline
28 & 0.029067 & 0.4494 & 0.326788 \tabularnewline
29 & -0.00224 & -0.0346 & 0.486204 \tabularnewline
30 & -0.082353 & -1.2731 & 0.102102 \tabularnewline
31 & -0.000156 & -0.0024 & 0.49904 \tabularnewline
32 & 0.055366 & 0.8559 & 0.196444 \tabularnewline
33 & 0.058512 & 0.9046 & 0.183301 \tabularnewline
34 & -0.042355 & -0.6548 & 0.256616 \tabularnewline
35 & 0.102024 & 1.5773 & 0.05803 \tabularnewline
36 & -0.14878 & -2.3001 & 0.011153 \tabularnewline
37 & 0.106065 & 1.6397 & 0.051189 \tabularnewline
38 & -0.07314 & -1.1307 & 0.129653 \tabularnewline
39 & -0.108769 & -1.6815 & 0.046983 \tabularnewline
40 & -0.053246 & -0.8232 & 0.205619 \tabularnewline
41 & -0.047877 & -0.7402 & 0.229964 \tabularnewline
42 & -0.099981 & -1.5457 & 0.061753 \tabularnewline
43 & 0.04418 & 0.683 & 0.247633 \tabularnewline
44 & -0.050858 & -0.7862 & 0.216252 \tabularnewline
45 & 0.031824 & 0.492 & 0.311588 \tabularnewline
46 & 0.039322 & 0.6079 & 0.271916 \tabularnewline
47 & 0.012451 & 0.1925 & 0.423763 \tabularnewline
48 & -0.088876 & -1.374 & 0.085366 \tabularnewline
49 & -0.022721 & -0.3513 & 0.362851 \tabularnewline
50 & -0.019886 & -0.3074 & 0.379394 \tabularnewline
51 & 0.030256 & 0.4677 & 0.320196 \tabularnewline
52 & -0.027946 & -0.432 & 0.333054 \tabularnewline
53 & -0.08983 & -1.3887 & 0.083102 \tabularnewline
54 & 0.049353 & 0.763 & 0.223114 \tabularnewline
55 & 0.038851 & 0.6006 & 0.274332 \tabularnewline
56 & -0.126938 & -1.9624 & 0.025438 \tabularnewline
57 & -0.142352 & -2.2007 & 0.014357 \tabularnewline
58 & -0.098041 & -1.5157 & 0.065462 \tabularnewline
59 & -0.058935 & -0.9111 & 0.181578 \tabularnewline
60 & 0.019744 & 0.3052 & 0.380226 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=29157&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]-0.039846[/C][C]-0.616[/C][C]0.269239[/C][/ROW]
[ROW][C]2[/C][C]0.115104[/C][C]1.7795[/C][C]0.038217[/C][/ROW]
[ROW][C]3[/C][C]0.103125[/C][C]1.5943[/C][C]0.056097[/C][/ROW]
[ROW][C]4[/C][C]0.112305[/C][C]1.7362[/C][C]0.041909[/C][/ROW]
[ROW][C]5[/C][C]0.048338[/C][C]0.7473[/C][C]0.22781[/C][/ROW]
[ROW][C]6[/C][C]0.022498[/C][C]0.3478[/C][C]0.364142[/C][/ROW]
[ROW][C]7[/C][C]0.089088[/C][C]1.3773[/C][C]0.08486[/C][/ROW]
[ROW][C]8[/C][C]-0.11023[/C][C]-1.7041[/C][C]0.04483[/C][/ROW]
[ROW][C]9[/C][C]0.037104[/C][C]0.5736[/C][C]0.283385[/C][/ROW]
[ROW][C]10[/C][C]0.020855[/C][C]0.3224[/C][C]0.373709[/C][/ROW]
[ROW][C]11[/C][C]0.015505[/C][C]0.2397[/C][C]0.405383[/C][/ROW]
[ROW][C]12[/C][C]-0.285615[/C][C]-4.4155[/C][C]8e-06[/C][/ROW]
[ROW][C]13[/C][C]0.061992[/C][C]0.9584[/C][C]0.169422[/C][/ROW]
[ROW][C]14[/C][C]0.119097[/C][C]1.8412[/C][C]0.033416[/C][/ROW]
[ROW][C]15[/C][C]-0.058739[/C][C]-0.9081[/C][C]0.182375[/C][/ROW]
[ROW][C]16[/C][C]0.051624[/C][C]0.7981[/C][C]0.212807[/C][/ROW]
[ROW][C]17[/C][C]0.005373[/C][C]0.0831[/C][C]0.466933[/C][/ROW]
[ROW][C]18[/C][C]0.111391[/C][C]1.7221[/C][C]0.043176[/C][/ROW]
[ROW][C]19[/C][C]0.041671[/C][C]0.6442[/C][C]0.260026[/C][/ROW]
[ROW][C]20[/C][C]0.079381[/C][C]1.2272[/C][C]0.110476[/C][/ROW]
[ROW][C]21[/C][C]0.092564[/C][C]1.431[/C][C]0.076868[/C][/ROW]
[ROW][C]22[/C][C]-0.054556[/C][C]-0.8434[/C][C]0.19992[/C][/ROW]
[ROW][C]23[/C][C]-0.000978[/C][C]-0.0151[/C][C]0.493972[/C][/ROW]
[ROW][C]24[/C][C]-0.218804[/C][C]-3.3826[/C][C]0.000419[/C][/ROW]
[ROW][C]25[/C][C]0.012842[/C][C]0.1985[/C][C]0.421402[/C][/ROW]
[ROW][C]26[/C][C]-0.016038[/C][C]-0.2479[/C][C]0.402199[/C][/ROW]
[ROW][C]27[/C][C]0.040139[/C][C]0.6205[/C][C]0.26775[/C][/ROW]
[ROW][C]28[/C][C]0.029067[/C][C]0.4494[/C][C]0.326788[/C][/ROW]
[ROW][C]29[/C][C]-0.00224[/C][C]-0.0346[/C][C]0.486204[/C][/ROW]
[ROW][C]30[/C][C]-0.082353[/C][C]-1.2731[/C][C]0.102102[/C][/ROW]
[ROW][C]31[/C][C]-0.000156[/C][C]-0.0024[/C][C]0.49904[/C][/ROW]
[ROW][C]32[/C][C]0.055366[/C][C]0.8559[/C][C]0.196444[/C][/ROW]
[ROW][C]33[/C][C]0.058512[/C][C]0.9046[/C][C]0.183301[/C][/ROW]
[ROW][C]34[/C][C]-0.042355[/C][C]-0.6548[/C][C]0.256616[/C][/ROW]
[ROW][C]35[/C][C]0.102024[/C][C]1.5773[/C][C]0.05803[/C][/ROW]
[ROW][C]36[/C][C]-0.14878[/C][C]-2.3001[/C][C]0.011153[/C][/ROW]
[ROW][C]37[/C][C]0.106065[/C][C]1.6397[/C][C]0.051189[/C][/ROW]
[ROW][C]38[/C][C]-0.07314[/C][C]-1.1307[/C][C]0.129653[/C][/ROW]
[ROW][C]39[/C][C]-0.108769[/C][C]-1.6815[/C][C]0.046983[/C][/ROW]
[ROW][C]40[/C][C]-0.053246[/C][C]-0.8232[/C][C]0.205619[/C][/ROW]
[ROW][C]41[/C][C]-0.047877[/C][C]-0.7402[/C][C]0.229964[/C][/ROW]
[ROW][C]42[/C][C]-0.099981[/C][C]-1.5457[/C][C]0.061753[/C][/ROW]
[ROW][C]43[/C][C]0.04418[/C][C]0.683[/C][C]0.247633[/C][/ROW]
[ROW][C]44[/C][C]-0.050858[/C][C]-0.7862[/C][C]0.216252[/C][/ROW]
[ROW][C]45[/C][C]0.031824[/C][C]0.492[/C][C]0.311588[/C][/ROW]
[ROW][C]46[/C][C]0.039322[/C][C]0.6079[/C][C]0.271916[/C][/ROW]
[ROW][C]47[/C][C]0.012451[/C][C]0.1925[/C][C]0.423763[/C][/ROW]
[ROW][C]48[/C][C]-0.088876[/C][C]-1.374[/C][C]0.085366[/C][/ROW]
[ROW][C]49[/C][C]-0.022721[/C][C]-0.3513[/C][C]0.362851[/C][/ROW]
[ROW][C]50[/C][C]-0.019886[/C][C]-0.3074[/C][C]0.379394[/C][/ROW]
[ROW][C]51[/C][C]0.030256[/C][C]0.4677[/C][C]0.320196[/C][/ROW]
[ROW][C]52[/C][C]-0.027946[/C][C]-0.432[/C][C]0.333054[/C][/ROW]
[ROW][C]53[/C][C]-0.08983[/C][C]-1.3887[/C][C]0.083102[/C][/ROW]
[ROW][C]54[/C][C]0.049353[/C][C]0.763[/C][C]0.223114[/C][/ROW]
[ROW][C]55[/C][C]0.038851[/C][C]0.6006[/C][C]0.274332[/C][/ROW]
[ROW][C]56[/C][C]-0.126938[/C][C]-1.9624[/C][C]0.025438[/C][/ROW]
[ROW][C]57[/C][C]-0.142352[/C][C]-2.2007[/C][C]0.014357[/C][/ROW]
[ROW][C]58[/C][C]-0.098041[/C][C]-1.5157[/C][C]0.065462[/C][/ROW]
[ROW][C]59[/C][C]-0.058935[/C][C]-0.9111[/C][C]0.181578[/C][/ROW]
[ROW][C]60[/C][C]0.019744[/C][C]0.3052[/C][C]0.380226[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=29157&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=29157&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
1-0.039846-0.6160.269239
20.1151041.77950.038217
30.1031251.59430.056097
40.1123051.73620.041909
50.0483380.74730.22781
60.0224980.34780.364142
70.0890881.37730.08486
8-0.11023-1.70410.04483
90.0371040.57360.283385
100.0208550.32240.373709
110.0155050.23970.405383
12-0.285615-4.41558e-06
130.0619920.95840.169422
140.1190971.84120.033416
15-0.058739-0.90810.182375
160.0516240.79810.212807
170.0053730.08310.466933
180.1113911.72210.043176
190.0416710.64420.260026
200.0793811.22720.110476
210.0925641.4310.076868
22-0.054556-0.84340.19992
23-0.000978-0.01510.493972
24-0.218804-3.38260.000419
250.0128420.19850.421402
26-0.016038-0.24790.402199
270.0401390.62050.26775
280.0290670.44940.326788
29-0.00224-0.03460.486204
30-0.082353-1.27310.102102
31-0.000156-0.00240.49904
320.0553660.85590.196444
330.0585120.90460.183301
34-0.042355-0.65480.256616
350.1020241.57730.05803
36-0.14878-2.30010.011153
370.1060651.63970.051189
38-0.07314-1.13070.129653
39-0.108769-1.68150.046983
40-0.053246-0.82320.205619
41-0.047877-0.74020.229964
42-0.099981-1.54570.061753
430.044180.6830.247633
44-0.050858-0.78620.216252
450.0318240.4920.311588
460.0393220.60790.271916
470.0124510.19250.423763
48-0.088876-1.3740.085366
49-0.022721-0.35130.362851
50-0.019886-0.30740.379394
510.0302560.46770.320196
52-0.027946-0.4320.333054
53-0.08983-1.38870.083102
540.0493530.7630.223114
550.0388510.60060.274332
56-0.126938-1.96240.025438
57-0.142352-2.20070.014357
58-0.098041-1.51570.065462
59-0.058935-0.91110.181578
600.0197440.30520.380226



Parameters (Session):
par1 = 36 ; par2 = 1.2 ; par3 = 1 ; par4 = 1 ; par5 = 12 ;
Parameters (R input):
par1 = 60 ; par2 = 0.9 ; 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')