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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 computationSat, 13 Dec 2008 09:08:49 -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/13/t1229184649217k13gcaupy4zu.htm/, Retrieved Sun, 19 May 2024 07:17:39 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=33172, Retrieved Sun, 19 May 2024 07:17:39 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact178
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [(Partial) Autocor...] [2008-12-13 16:08:49] [db9a5fd0f9c3e1245d8075d8bb09236d] [Current]
-   P     [(Partial) Autocorrelation Function] [(Partial) Autocor...] [2008-12-14 14:45:58] [d134696a922d84037f02d49ded84b0bd]
- RMP       [ARIMA Backward Selection] [Backward Selectio...] [2008-12-14 16:30:33] [d134696a922d84037f02d49ded84b0bd]
-   P         [ARIMA Backward Selection] [Backward Selectio...] [2008-12-14 16:41:16] [d134696a922d84037f02d49ded84b0bd]
-   P         [ARIMA Backward Selection] [ARIMA Backward Se...] [2008-12-15 20:23:35] [d134696a922d84037f02d49ded84b0bd]
-   P           [ARIMA Backward Selection] [ARIMA Backward Se...] [2008-12-15 20:28:38] [d134696a922d84037f02d49ded84b0bd]
- RMP             [ARIMA Forecasting] [ARIMA Forecasting] [2008-12-16 09:49:01] [d134696a922d84037f02d49ded84b0bd]
-                   [ARIMA Forecasting] [ARIMA Forecasting] [2008-12-16 09:51:44] [d134696a922d84037f02d49ded84b0bd]
-   P       [(Partial) Autocorrelation Function] [(Partial) Autocor...] [2008-12-15 20:11:18] [d134696a922d84037f02d49ded84b0bd]
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Dataseries X:
205597
205471
211064
212856
217036
219302
219759
221388
220834
221788
222358
222972
224164
224915
226294
224690
227021
229284
229189
230032
229389
231053
232560
232681
231555
231428
232141
234939
235424
235471
236355
238693
236958
237060
239282
238252
241552
236230
238909
240723
242120
242100
243276
244677
243494
244902
245247
245578
243052
238121
241863
241203
243634
242351
245180
246126
244424
245166
247258
245094
246020
243082
245555
243685
247277
245029
246169
246778
244577
246048
245775
245328
245477
241903
243219
248088
248521
247389
249057
248916
249193
250768
253106
249829
249447
246755
250785
250140
255755
254671
253919
253741
252729
253810
256653
255231
258405
251061
254811
254895
258325
257608
258759
258621
257852
260560
262358
260812
261165
257164
260720
259581
264743
261845
262262
261631
258953
259966
262850
262204
263418
262752
266433
267722
266003
262971
265521
264676
270223
269508
268457
265814
266680
263018
269285
269829
270911
266844
271244
269907
271296
270157
271322
267179
264101
265518
269419
268714
272482
268351
268175
270674
272764
272599
270333
270846
270491
269160
274027
273784
276663
274525
271344
271115
270798
273911
273985
271917
273338
270601
273547
275363
281229
277793
279913
282500
280041
282166
290304
283519
287816
285226
287595
289741
289148
288301
290155
289648
288225
289351
294735
305333




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 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 & 2 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=33172&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]2 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=33172&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=33172&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 time2 seconds
R Server'George Udny Yule' @ 72.249.76.132







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.95537113.2380
20.92276912.78630
30.89496212.4010
40.87272812.09290
50.85149811.79870
60.83158311.52280
70.80992111.22260
80.78874910.92920
90.7642510.58980
100.74610810.33840
110.72746110.080
120.7100019.83810
130.6894599.55340
140.6656349.22330
150.6452528.94090
160.6295648.72350
170.6123988.48560
180.5978478.2840
190.5829168.07710
200.5653547.83380
210.548387.59860
220.5380337.45520
230.5289287.3290
240.5199097.20410
250.5050586.99830
260.4907266.79970
270.4741026.56940
280.4644646.43580
290.4540776.29190
300.4451886.16870
310.4316845.98160
320.4199995.81970
330.4065355.63310
340.3950485.47390
350.3862575.35210
360.3785745.24570
370.3673575.09030
380.3559464.93211e-06
390.3423464.74372e-06
400.3329334.61334e-06
410.3223364.46647e-06
420.315054.36551e-05
430.3072774.25781.6e-05
440.2981794.13172.7e-05
450.2893424.00924.4e-05
460.2839613.93475.8e-05
470.2777453.84868.1e-05
480.2762563.82798.7e-05
490.2656593.68110.000151
500.2520243.49210.000297
510.2394473.31790.000542
520.2288773.17140.000883
530.2178933.01920.001439
540.2045932.83490.002537
550.195792.7130.003637
560.1852412.56680.005513
570.1740432.41160.008412
580.1644652.27890.011887
590.1593362.20780.01422
600.1516262.1010.018473

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.955371 & 13.238 & 0 \tabularnewline
2 & 0.922769 & 12.7863 & 0 \tabularnewline
3 & 0.894962 & 12.401 & 0 \tabularnewline
4 & 0.872728 & 12.0929 & 0 \tabularnewline
5 & 0.851498 & 11.7987 & 0 \tabularnewline
6 & 0.831583 & 11.5228 & 0 \tabularnewline
7 & 0.809921 & 11.2226 & 0 \tabularnewline
8 & 0.788749 & 10.9292 & 0 \tabularnewline
9 & 0.76425 & 10.5898 & 0 \tabularnewline
10 & 0.746108 & 10.3384 & 0 \tabularnewline
11 & 0.727461 & 10.08 & 0 \tabularnewline
12 & 0.710001 & 9.8381 & 0 \tabularnewline
13 & 0.689459 & 9.5534 & 0 \tabularnewline
14 & 0.665634 & 9.2233 & 0 \tabularnewline
15 & 0.645252 & 8.9409 & 0 \tabularnewline
16 & 0.629564 & 8.7235 & 0 \tabularnewline
17 & 0.612398 & 8.4856 & 0 \tabularnewline
18 & 0.597847 & 8.284 & 0 \tabularnewline
19 & 0.582916 & 8.0771 & 0 \tabularnewline
20 & 0.565354 & 7.8338 & 0 \tabularnewline
21 & 0.54838 & 7.5986 & 0 \tabularnewline
22 & 0.538033 & 7.4552 & 0 \tabularnewline
23 & 0.528928 & 7.329 & 0 \tabularnewline
24 & 0.519909 & 7.2041 & 0 \tabularnewline
25 & 0.505058 & 6.9983 & 0 \tabularnewline
26 & 0.490726 & 6.7997 & 0 \tabularnewline
27 & 0.474102 & 6.5694 & 0 \tabularnewline
28 & 0.464464 & 6.4358 & 0 \tabularnewline
29 & 0.454077 & 6.2919 & 0 \tabularnewline
30 & 0.445188 & 6.1687 & 0 \tabularnewline
31 & 0.431684 & 5.9816 & 0 \tabularnewline
32 & 0.419999 & 5.8197 & 0 \tabularnewline
33 & 0.406535 & 5.6331 & 0 \tabularnewline
34 & 0.395048 & 5.4739 & 0 \tabularnewline
35 & 0.386257 & 5.3521 & 0 \tabularnewline
36 & 0.378574 & 5.2457 & 0 \tabularnewline
37 & 0.367357 & 5.0903 & 0 \tabularnewline
38 & 0.355946 & 4.9321 & 1e-06 \tabularnewline
39 & 0.342346 & 4.7437 & 2e-06 \tabularnewline
40 & 0.332933 & 4.6133 & 4e-06 \tabularnewline
41 & 0.322336 & 4.4664 & 7e-06 \tabularnewline
42 & 0.31505 & 4.3655 & 1e-05 \tabularnewline
43 & 0.307277 & 4.2578 & 1.6e-05 \tabularnewline
44 & 0.298179 & 4.1317 & 2.7e-05 \tabularnewline
45 & 0.289342 & 4.0092 & 4.4e-05 \tabularnewline
46 & 0.283961 & 3.9347 & 5.8e-05 \tabularnewline
47 & 0.277745 & 3.8486 & 8.1e-05 \tabularnewline
48 & 0.276256 & 3.8279 & 8.7e-05 \tabularnewline
49 & 0.265659 & 3.6811 & 0.000151 \tabularnewline
50 & 0.252024 & 3.4921 & 0.000297 \tabularnewline
51 & 0.239447 & 3.3179 & 0.000542 \tabularnewline
52 & 0.228877 & 3.1714 & 0.000883 \tabularnewline
53 & 0.217893 & 3.0192 & 0.001439 \tabularnewline
54 & 0.204593 & 2.8349 & 0.002537 \tabularnewline
55 & 0.19579 & 2.713 & 0.003637 \tabularnewline
56 & 0.185241 & 2.5668 & 0.005513 \tabularnewline
57 & 0.174043 & 2.4116 & 0.008412 \tabularnewline
58 & 0.164465 & 2.2789 & 0.011887 \tabularnewline
59 & 0.159336 & 2.2078 & 0.01422 \tabularnewline
60 & 0.151626 & 2.101 & 0.018473 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=33172&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]0.955371[/C][C]13.238[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.922769[/C][C]12.7863[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.894962[/C][C]12.401[/C][C]0[/C][/ROW]
[ROW][C]4[/C][C]0.872728[/C][C]12.0929[/C][C]0[/C][/ROW]
[ROW][C]5[/C][C]0.851498[/C][C]11.7987[/C][C]0[/C][/ROW]
[ROW][C]6[/C][C]0.831583[/C][C]11.5228[/C][C]0[/C][/ROW]
[ROW][C]7[/C][C]0.809921[/C][C]11.2226[/C][C]0[/C][/ROW]
[ROW][C]8[/C][C]0.788749[/C][C]10.9292[/C][C]0[/C][/ROW]
[ROW][C]9[/C][C]0.76425[/C][C]10.5898[/C][C]0[/C][/ROW]
[ROW][C]10[/C][C]0.746108[/C][C]10.3384[/C][C]0[/C][/ROW]
[ROW][C]11[/C][C]0.727461[/C][C]10.08[/C][C]0[/C][/ROW]
[ROW][C]12[/C][C]0.710001[/C][C]9.8381[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]0.689459[/C][C]9.5534[/C][C]0[/C][/ROW]
[ROW][C]14[/C][C]0.665634[/C][C]9.2233[/C][C]0[/C][/ROW]
[ROW][C]15[/C][C]0.645252[/C][C]8.9409[/C][C]0[/C][/ROW]
[ROW][C]16[/C][C]0.629564[/C][C]8.7235[/C][C]0[/C][/ROW]
[ROW][C]17[/C][C]0.612398[/C][C]8.4856[/C][C]0[/C][/ROW]
[ROW][C]18[/C][C]0.597847[/C][C]8.284[/C][C]0[/C][/ROW]
[ROW][C]19[/C][C]0.582916[/C][C]8.0771[/C][C]0[/C][/ROW]
[ROW][C]20[/C][C]0.565354[/C][C]7.8338[/C][C]0[/C][/ROW]
[ROW][C]21[/C][C]0.54838[/C][C]7.5986[/C][C]0[/C][/ROW]
[ROW][C]22[/C][C]0.538033[/C][C]7.4552[/C][C]0[/C][/ROW]
[ROW][C]23[/C][C]0.528928[/C][C]7.329[/C][C]0[/C][/ROW]
[ROW][C]24[/C][C]0.519909[/C][C]7.2041[/C][C]0[/C][/ROW]
[ROW][C]25[/C][C]0.505058[/C][C]6.9983[/C][C]0[/C][/ROW]
[ROW][C]26[/C][C]0.490726[/C][C]6.7997[/C][C]0[/C][/ROW]
[ROW][C]27[/C][C]0.474102[/C][C]6.5694[/C][C]0[/C][/ROW]
[ROW][C]28[/C][C]0.464464[/C][C]6.4358[/C][C]0[/C][/ROW]
[ROW][C]29[/C][C]0.454077[/C][C]6.2919[/C][C]0[/C][/ROW]
[ROW][C]30[/C][C]0.445188[/C][C]6.1687[/C][C]0[/C][/ROW]
[ROW][C]31[/C][C]0.431684[/C][C]5.9816[/C][C]0[/C][/ROW]
[ROW][C]32[/C][C]0.419999[/C][C]5.8197[/C][C]0[/C][/ROW]
[ROW][C]33[/C][C]0.406535[/C][C]5.6331[/C][C]0[/C][/ROW]
[ROW][C]34[/C][C]0.395048[/C][C]5.4739[/C][C]0[/C][/ROW]
[ROW][C]35[/C][C]0.386257[/C][C]5.3521[/C][C]0[/C][/ROW]
[ROW][C]36[/C][C]0.378574[/C][C]5.2457[/C][C]0[/C][/ROW]
[ROW][C]37[/C][C]0.367357[/C][C]5.0903[/C][C]0[/C][/ROW]
[ROW][C]38[/C][C]0.355946[/C][C]4.9321[/C][C]1e-06[/C][/ROW]
[ROW][C]39[/C][C]0.342346[/C][C]4.7437[/C][C]2e-06[/C][/ROW]
[ROW][C]40[/C][C]0.332933[/C][C]4.6133[/C][C]4e-06[/C][/ROW]
[ROW][C]41[/C][C]0.322336[/C][C]4.4664[/C][C]7e-06[/C][/ROW]
[ROW][C]42[/C][C]0.31505[/C][C]4.3655[/C][C]1e-05[/C][/ROW]
[ROW][C]43[/C][C]0.307277[/C][C]4.2578[/C][C]1.6e-05[/C][/ROW]
[ROW][C]44[/C][C]0.298179[/C][C]4.1317[/C][C]2.7e-05[/C][/ROW]
[ROW][C]45[/C][C]0.289342[/C][C]4.0092[/C][C]4.4e-05[/C][/ROW]
[ROW][C]46[/C][C]0.283961[/C][C]3.9347[/C][C]5.8e-05[/C][/ROW]
[ROW][C]47[/C][C]0.277745[/C][C]3.8486[/C][C]8.1e-05[/C][/ROW]
[ROW][C]48[/C][C]0.276256[/C][C]3.8279[/C][C]8.7e-05[/C][/ROW]
[ROW][C]49[/C][C]0.265659[/C][C]3.6811[/C][C]0.000151[/C][/ROW]
[ROW][C]50[/C][C]0.252024[/C][C]3.4921[/C][C]0.000297[/C][/ROW]
[ROW][C]51[/C][C]0.239447[/C][C]3.3179[/C][C]0.000542[/C][/ROW]
[ROW][C]52[/C][C]0.228877[/C][C]3.1714[/C][C]0.000883[/C][/ROW]
[ROW][C]53[/C][C]0.217893[/C][C]3.0192[/C][C]0.001439[/C][/ROW]
[ROW][C]54[/C][C]0.204593[/C][C]2.8349[/C][C]0.002537[/C][/ROW]
[ROW][C]55[/C][C]0.19579[/C][C]2.713[/C][C]0.003637[/C][/ROW]
[ROW][C]56[/C][C]0.185241[/C][C]2.5668[/C][C]0.005513[/C][/ROW]
[ROW][C]57[/C][C]0.174043[/C][C]2.4116[/C][C]0.008412[/C][/ROW]
[ROW][C]58[/C][C]0.164465[/C][C]2.2789[/C][C]0.011887[/C][/ROW]
[ROW][C]59[/C][C]0.159336[/C][C]2.2078[/C][C]0.01422[/C][/ROW]
[ROW][C]60[/C][C]0.151626[/C][C]2.101[/C][C]0.018473[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=33172&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=33172&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
10.95537113.2380
20.92276912.78630
30.89496212.4010
40.87272812.09290
50.85149811.79870
60.83158311.52280
70.80992111.22260
80.78874910.92920
90.7642510.58980
100.74610810.33840
110.72746110.080
120.7100019.83810
130.6894599.55340
140.6656349.22330
150.6452528.94090
160.6295648.72350
170.6123988.48560
180.5978478.2840
190.5829168.07710
200.5653547.83380
210.548387.59860
220.5380337.45520
230.5289287.3290
240.5199097.20410
250.5050586.99830
260.4907266.79970
270.4741026.56940
280.4644646.43580
290.4540776.29190
300.4451886.16870
310.4316845.98160
320.4199995.81970
330.4065355.63310
340.3950485.47390
350.3862575.35210
360.3785745.24570
370.3673575.09030
380.3559464.93211e-06
390.3423464.74372e-06
400.3329334.61334e-06
410.3223364.46647e-06
420.315054.36551e-05
430.3072774.25781.6e-05
440.2981794.13172.7e-05
450.2893424.00924.4e-05
460.2839613.93475.8e-05
470.2777453.84868.1e-05
480.2762563.82798.7e-05
490.2656593.68110.000151
500.2520243.49210.000297
510.2394473.31790.000542
520.2288773.17140.000883
530.2178933.01920.001439
540.2045932.83490.002537
550.195792.7130.003637
560.1852412.56680.005513
570.1740432.41160.008412
580.1644652.27890.011887
590.1593362.20780.01422
600.1516262.1010.018473







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.95537113.2380
20.1149991.59350.056349
30.0567860.78680.216172
40.0677330.93850.174573
50.0245340.33990.367134
60.0206130.28560.38774
7-0.015998-0.22170.4124
8-0.003125-0.04330.482751
9-0.046872-0.64950.258404
100.0501740.69520.243873
11-0.001629-0.02260.491009
120.0079570.11030.456163
13-0.033174-0.45970.323134
14-0.054642-0.75710.224948
150.0165580.22940.409389
160.0416180.57670.282419
17-0.011726-0.16250.435549
180.0223990.31040.378308
190.0066030.09150.4636
20-0.031793-0.44050.330021
21-0.002062-0.02860.488621
220.0656560.90980.182046
230.0213780.29620.383692
240.0111810.15490.438522
25-0.052708-0.73030.233033
26-0.011036-0.15290.439313
27-0.035222-0.4880.313038
280.0536060.74280.22926
29-0.006199-0.08590.465819
300.0129410.17930.428941
31-0.041105-0.56960.284817
320.008720.12080.451975
33-0.013282-0.1840.427089
34-0.005328-0.07380.470615
350.0217460.30130.381746
360.010640.14740.441471
37-0.019033-0.26370.396137
38-0.008774-0.12160.451684
39-0.025424-0.35230.362503
400.0205890.28530.387865
41-0.020341-0.28190.389179
420.0260990.36160.359009
430.0123650.17130.432072
44-0.006997-0.09690.461434
450.004750.06580.473793
460.0268470.3720.355151
47-0.008103-0.11230.455361
480.0423970.58750.278789
49-0.074394-1.03080.151959
50-0.054977-0.76180.223561
51-0.006317-0.08750.465169
52-0.009668-0.1340.446788
53-0.018412-0.25510.399451
54-0.051752-0.71710.237091
550.0479870.66490.253448
56-0.01966-0.27240.392799
570.0084020.11640.453718
58-0.004321-0.05990.476158
590.0414920.57490.283005
60-0.024743-0.34290.366042

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.955371 & 13.238 & 0 \tabularnewline
2 & 0.114999 & 1.5935 & 0.056349 \tabularnewline
3 & 0.056786 & 0.7868 & 0.216172 \tabularnewline
4 & 0.067733 & 0.9385 & 0.174573 \tabularnewline
5 & 0.024534 & 0.3399 & 0.367134 \tabularnewline
6 & 0.020613 & 0.2856 & 0.38774 \tabularnewline
7 & -0.015998 & -0.2217 & 0.4124 \tabularnewline
8 & -0.003125 & -0.0433 & 0.482751 \tabularnewline
9 & -0.046872 & -0.6495 & 0.258404 \tabularnewline
10 & 0.050174 & 0.6952 & 0.243873 \tabularnewline
11 & -0.001629 & -0.0226 & 0.491009 \tabularnewline
12 & 0.007957 & 0.1103 & 0.456163 \tabularnewline
13 & -0.033174 & -0.4597 & 0.323134 \tabularnewline
14 & -0.054642 & -0.7571 & 0.224948 \tabularnewline
15 & 0.016558 & 0.2294 & 0.409389 \tabularnewline
16 & 0.041618 & 0.5767 & 0.282419 \tabularnewline
17 & -0.011726 & -0.1625 & 0.435549 \tabularnewline
18 & 0.022399 & 0.3104 & 0.378308 \tabularnewline
19 & 0.006603 & 0.0915 & 0.4636 \tabularnewline
20 & -0.031793 & -0.4405 & 0.330021 \tabularnewline
21 & -0.002062 & -0.0286 & 0.488621 \tabularnewline
22 & 0.065656 & 0.9098 & 0.182046 \tabularnewline
23 & 0.021378 & 0.2962 & 0.383692 \tabularnewline
24 & 0.011181 & 0.1549 & 0.438522 \tabularnewline
25 & -0.052708 & -0.7303 & 0.233033 \tabularnewline
26 & -0.011036 & -0.1529 & 0.439313 \tabularnewline
27 & -0.035222 & -0.488 & 0.313038 \tabularnewline
28 & 0.053606 & 0.7428 & 0.22926 \tabularnewline
29 & -0.006199 & -0.0859 & 0.465819 \tabularnewline
30 & 0.012941 & 0.1793 & 0.428941 \tabularnewline
31 & -0.041105 & -0.5696 & 0.284817 \tabularnewline
32 & 0.00872 & 0.1208 & 0.451975 \tabularnewline
33 & -0.013282 & -0.184 & 0.427089 \tabularnewline
34 & -0.005328 & -0.0738 & 0.470615 \tabularnewline
35 & 0.021746 & 0.3013 & 0.381746 \tabularnewline
36 & 0.01064 & 0.1474 & 0.441471 \tabularnewline
37 & -0.019033 & -0.2637 & 0.396137 \tabularnewline
38 & -0.008774 & -0.1216 & 0.451684 \tabularnewline
39 & -0.025424 & -0.3523 & 0.362503 \tabularnewline
40 & 0.020589 & 0.2853 & 0.387865 \tabularnewline
41 & -0.020341 & -0.2819 & 0.389179 \tabularnewline
42 & 0.026099 & 0.3616 & 0.359009 \tabularnewline
43 & 0.012365 & 0.1713 & 0.432072 \tabularnewline
44 & -0.006997 & -0.0969 & 0.461434 \tabularnewline
45 & 0.00475 & 0.0658 & 0.473793 \tabularnewline
46 & 0.026847 & 0.372 & 0.355151 \tabularnewline
47 & -0.008103 & -0.1123 & 0.455361 \tabularnewline
48 & 0.042397 & 0.5875 & 0.278789 \tabularnewline
49 & -0.074394 & -1.0308 & 0.151959 \tabularnewline
50 & -0.054977 & -0.7618 & 0.223561 \tabularnewline
51 & -0.006317 & -0.0875 & 0.465169 \tabularnewline
52 & -0.009668 & -0.134 & 0.446788 \tabularnewline
53 & -0.018412 & -0.2551 & 0.399451 \tabularnewline
54 & -0.051752 & -0.7171 & 0.237091 \tabularnewline
55 & 0.047987 & 0.6649 & 0.253448 \tabularnewline
56 & -0.01966 & -0.2724 & 0.392799 \tabularnewline
57 & 0.008402 & 0.1164 & 0.453718 \tabularnewline
58 & -0.004321 & -0.0599 & 0.476158 \tabularnewline
59 & 0.041492 & 0.5749 & 0.283005 \tabularnewline
60 & -0.024743 & -0.3429 & 0.366042 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=33172&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]0.955371[/C][C]13.238[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.114999[/C][C]1.5935[/C][C]0.056349[/C][/ROW]
[ROW][C]3[/C][C]0.056786[/C][C]0.7868[/C][C]0.216172[/C][/ROW]
[ROW][C]4[/C][C]0.067733[/C][C]0.9385[/C][C]0.174573[/C][/ROW]
[ROW][C]5[/C][C]0.024534[/C][C]0.3399[/C][C]0.367134[/C][/ROW]
[ROW][C]6[/C][C]0.020613[/C][C]0.2856[/C][C]0.38774[/C][/ROW]
[ROW][C]7[/C][C]-0.015998[/C][C]-0.2217[/C][C]0.4124[/C][/ROW]
[ROW][C]8[/C][C]-0.003125[/C][C]-0.0433[/C][C]0.482751[/C][/ROW]
[ROW][C]9[/C][C]-0.046872[/C][C]-0.6495[/C][C]0.258404[/C][/ROW]
[ROW][C]10[/C][C]0.050174[/C][C]0.6952[/C][C]0.243873[/C][/ROW]
[ROW][C]11[/C][C]-0.001629[/C][C]-0.0226[/C][C]0.491009[/C][/ROW]
[ROW][C]12[/C][C]0.007957[/C][C]0.1103[/C][C]0.456163[/C][/ROW]
[ROW][C]13[/C][C]-0.033174[/C][C]-0.4597[/C][C]0.323134[/C][/ROW]
[ROW][C]14[/C][C]-0.054642[/C][C]-0.7571[/C][C]0.224948[/C][/ROW]
[ROW][C]15[/C][C]0.016558[/C][C]0.2294[/C][C]0.409389[/C][/ROW]
[ROW][C]16[/C][C]0.041618[/C][C]0.5767[/C][C]0.282419[/C][/ROW]
[ROW][C]17[/C][C]-0.011726[/C][C]-0.1625[/C][C]0.435549[/C][/ROW]
[ROW][C]18[/C][C]0.022399[/C][C]0.3104[/C][C]0.378308[/C][/ROW]
[ROW][C]19[/C][C]0.006603[/C][C]0.0915[/C][C]0.4636[/C][/ROW]
[ROW][C]20[/C][C]-0.031793[/C][C]-0.4405[/C][C]0.330021[/C][/ROW]
[ROW][C]21[/C][C]-0.002062[/C][C]-0.0286[/C][C]0.488621[/C][/ROW]
[ROW][C]22[/C][C]0.065656[/C][C]0.9098[/C][C]0.182046[/C][/ROW]
[ROW][C]23[/C][C]0.021378[/C][C]0.2962[/C][C]0.383692[/C][/ROW]
[ROW][C]24[/C][C]0.011181[/C][C]0.1549[/C][C]0.438522[/C][/ROW]
[ROW][C]25[/C][C]-0.052708[/C][C]-0.7303[/C][C]0.233033[/C][/ROW]
[ROW][C]26[/C][C]-0.011036[/C][C]-0.1529[/C][C]0.439313[/C][/ROW]
[ROW][C]27[/C][C]-0.035222[/C][C]-0.488[/C][C]0.313038[/C][/ROW]
[ROW][C]28[/C][C]0.053606[/C][C]0.7428[/C][C]0.22926[/C][/ROW]
[ROW][C]29[/C][C]-0.006199[/C][C]-0.0859[/C][C]0.465819[/C][/ROW]
[ROW][C]30[/C][C]0.012941[/C][C]0.1793[/C][C]0.428941[/C][/ROW]
[ROW][C]31[/C][C]-0.041105[/C][C]-0.5696[/C][C]0.284817[/C][/ROW]
[ROW][C]32[/C][C]0.00872[/C][C]0.1208[/C][C]0.451975[/C][/ROW]
[ROW][C]33[/C][C]-0.013282[/C][C]-0.184[/C][C]0.427089[/C][/ROW]
[ROW][C]34[/C][C]-0.005328[/C][C]-0.0738[/C][C]0.470615[/C][/ROW]
[ROW][C]35[/C][C]0.021746[/C][C]0.3013[/C][C]0.381746[/C][/ROW]
[ROW][C]36[/C][C]0.01064[/C][C]0.1474[/C][C]0.441471[/C][/ROW]
[ROW][C]37[/C][C]-0.019033[/C][C]-0.2637[/C][C]0.396137[/C][/ROW]
[ROW][C]38[/C][C]-0.008774[/C][C]-0.1216[/C][C]0.451684[/C][/ROW]
[ROW][C]39[/C][C]-0.025424[/C][C]-0.3523[/C][C]0.362503[/C][/ROW]
[ROW][C]40[/C][C]0.020589[/C][C]0.2853[/C][C]0.387865[/C][/ROW]
[ROW][C]41[/C][C]-0.020341[/C][C]-0.2819[/C][C]0.389179[/C][/ROW]
[ROW][C]42[/C][C]0.026099[/C][C]0.3616[/C][C]0.359009[/C][/ROW]
[ROW][C]43[/C][C]0.012365[/C][C]0.1713[/C][C]0.432072[/C][/ROW]
[ROW][C]44[/C][C]-0.006997[/C][C]-0.0969[/C][C]0.461434[/C][/ROW]
[ROW][C]45[/C][C]0.00475[/C][C]0.0658[/C][C]0.473793[/C][/ROW]
[ROW][C]46[/C][C]0.026847[/C][C]0.372[/C][C]0.355151[/C][/ROW]
[ROW][C]47[/C][C]-0.008103[/C][C]-0.1123[/C][C]0.455361[/C][/ROW]
[ROW][C]48[/C][C]0.042397[/C][C]0.5875[/C][C]0.278789[/C][/ROW]
[ROW][C]49[/C][C]-0.074394[/C][C]-1.0308[/C][C]0.151959[/C][/ROW]
[ROW][C]50[/C][C]-0.054977[/C][C]-0.7618[/C][C]0.223561[/C][/ROW]
[ROW][C]51[/C][C]-0.006317[/C][C]-0.0875[/C][C]0.465169[/C][/ROW]
[ROW][C]52[/C][C]-0.009668[/C][C]-0.134[/C][C]0.446788[/C][/ROW]
[ROW][C]53[/C][C]-0.018412[/C][C]-0.2551[/C][C]0.399451[/C][/ROW]
[ROW][C]54[/C][C]-0.051752[/C][C]-0.7171[/C][C]0.237091[/C][/ROW]
[ROW][C]55[/C][C]0.047987[/C][C]0.6649[/C][C]0.253448[/C][/ROW]
[ROW][C]56[/C][C]-0.01966[/C][C]-0.2724[/C][C]0.392799[/C][/ROW]
[ROW][C]57[/C][C]0.008402[/C][C]0.1164[/C][C]0.453718[/C][/ROW]
[ROW][C]58[/C][C]-0.004321[/C][C]-0.0599[/C][C]0.476158[/C][/ROW]
[ROW][C]59[/C][C]0.041492[/C][C]0.5749[/C][C]0.283005[/C][/ROW]
[ROW][C]60[/C][C]-0.024743[/C][C]-0.3429[/C][C]0.366042[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=33172&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=33172&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
10.95537113.2380
20.1149991.59350.056349
30.0567860.78680.216172
40.0677330.93850.174573
50.0245340.33990.367134
60.0206130.28560.38774
7-0.015998-0.22170.4124
8-0.003125-0.04330.482751
9-0.046872-0.64950.258404
100.0501740.69520.243873
11-0.001629-0.02260.491009
120.0079570.11030.456163
13-0.033174-0.45970.323134
14-0.054642-0.75710.224948
150.0165580.22940.409389
160.0416180.57670.282419
17-0.011726-0.16250.435549
180.0223990.31040.378308
190.0066030.09150.4636
20-0.031793-0.44050.330021
21-0.002062-0.02860.488621
220.0656560.90980.182046
230.0213780.29620.383692
240.0111810.15490.438522
25-0.052708-0.73030.233033
26-0.011036-0.15290.439313
27-0.035222-0.4880.313038
280.0536060.74280.22926
29-0.006199-0.08590.465819
300.0129410.17930.428941
31-0.041105-0.56960.284817
320.008720.12080.451975
33-0.013282-0.1840.427089
34-0.005328-0.07380.470615
350.0217460.30130.381746
360.010640.14740.441471
37-0.019033-0.26370.396137
38-0.008774-0.12160.451684
39-0.025424-0.35230.362503
400.0205890.28530.387865
41-0.020341-0.28190.389179
420.0260990.36160.359009
430.0123650.17130.432072
44-0.006997-0.09690.461434
450.004750.06580.473793
460.0268470.3720.355151
47-0.008103-0.11230.455361
480.0423970.58750.278789
49-0.074394-1.03080.151959
50-0.054977-0.76180.223561
51-0.006317-0.08750.465169
52-0.009668-0.1340.446788
53-0.018412-0.25510.399451
54-0.051752-0.71710.237091
550.0479870.66490.253448
56-0.01966-0.27240.392799
570.0084020.11640.453718
58-0.004321-0.05990.476158
590.0414920.57490.283005
60-0.024743-0.34290.366042



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')