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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 computationMon, 15 Dec 2008 13:11:18 -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/15/t122937190895wpptdvtwdua4n.htm/, Retrieved Wed, 15 May 2024 13:28:15 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=33804, Retrieved Wed, 15 May 2024 13:28:15 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact169
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] [d134696a922d84037f02d49ded84b0bd]
-   P   [(Partial) Autocorrelation Function] [(Partial) Autocor...] [2008-12-14 14:45:58] [d134696a922d84037f02d49ded84b0bd]
-   P       [(Partial) Autocorrelation Function] [(Partial) Autocor...] [2008-12-15 20:11:18] [db9a5fd0f9c3e1245d8075d8bb09236d] [Current]
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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 time3 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 3 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ 193.190.124.10:1001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=33804&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ 193.190.124.10:1001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=33804&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=33804&T=0

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001







Autocorrelation Function
Time lag kACF(k)T-STATP-value
1-0.272781-3.64960.000172
2-0.063361-0.84770.198864
30.0931241.24590.107211
4-0.081329-1.08810.139006
5-0.083859-1.1220.131693
60.0756481.01210.156429
7-0.009025-0.12070.452014
8-0.012131-0.16230.435628
9-0.039741-0.53170.297796
100.0416150.55680.289189
110.099081.32560.09333
12-0.384541-5.14480
130.2120892.83760.002535
140.0781941.04620.148448
15-0.138924-1.85870.032358
160.0327280.43790.331002
170.1975092.64250.00448
18-0.133263-1.78290.038146
190.0925761.23860.108562
200.0956171.27930.101228
21-0.08976-1.20090.115688
22-0.059578-0.79710.213226
230.0901341.20590.114721
24-0.011369-0.15210.439639
250.0234480.31370.377051
260.0006940.00930.496302
270.0969991.29780.098019
28-0.13834-1.85090.032919
29-0.09655-1.29180.099053
300.1624492.17340.015531
31-0.149783-2.0040.023291
320.0115760.15490.438546
330.1505162.01380.022766
34-0.075295-1.00740.157557
350.0015740.02110.491611
360.0008720.01170.495355
370.0036330.04860.480646
38-0.027462-0.36740.356869
398.3e-050.00110.49956
400.1335751.78710.037806
41-0.103159-1.38020.084627
42-0.063278-0.84660.199175
430.0666430.89160.186897
440.0455190.6090.271645
45-0.181149-2.42360.008181
460.2162632.89340.002142
47-0.06537-0.87460.191483
48-0.049314-0.65980.255125
490.010450.13980.444485
500.0724650.96950.166797
51-0.110033-1.47210.07137
520.0350950.46950.319626
530.0645830.86410.194356
54-0.004438-0.05940.476358
550.0119340.15970.436661
56-0.091609-1.22560.110971
570.1505282.01390.022757
58-0.151651-2.0290.021972
590.0090910.12160.451664
600.0685090.91660.180295

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & -0.272781 & -3.6496 & 0.000172 \tabularnewline
2 & -0.063361 & -0.8477 & 0.198864 \tabularnewline
3 & 0.093124 & 1.2459 & 0.107211 \tabularnewline
4 & -0.081329 & -1.0881 & 0.139006 \tabularnewline
5 & -0.083859 & -1.122 & 0.131693 \tabularnewline
6 & 0.075648 & 1.0121 & 0.156429 \tabularnewline
7 & -0.009025 & -0.1207 & 0.452014 \tabularnewline
8 & -0.012131 & -0.1623 & 0.435628 \tabularnewline
9 & -0.039741 & -0.5317 & 0.297796 \tabularnewline
10 & 0.041615 & 0.5568 & 0.289189 \tabularnewline
11 & 0.09908 & 1.3256 & 0.09333 \tabularnewline
12 & -0.384541 & -5.1448 & 0 \tabularnewline
13 & 0.212089 & 2.8376 & 0.002535 \tabularnewline
14 & 0.078194 & 1.0462 & 0.148448 \tabularnewline
15 & -0.138924 & -1.8587 & 0.032358 \tabularnewline
16 & 0.032728 & 0.4379 & 0.331002 \tabularnewline
17 & 0.197509 & 2.6425 & 0.00448 \tabularnewline
18 & -0.133263 & -1.7829 & 0.038146 \tabularnewline
19 & 0.092576 & 1.2386 & 0.108562 \tabularnewline
20 & 0.095617 & 1.2793 & 0.101228 \tabularnewline
21 & -0.08976 & -1.2009 & 0.115688 \tabularnewline
22 & -0.059578 & -0.7971 & 0.213226 \tabularnewline
23 & 0.090134 & 1.2059 & 0.114721 \tabularnewline
24 & -0.011369 & -0.1521 & 0.439639 \tabularnewline
25 & 0.023448 & 0.3137 & 0.377051 \tabularnewline
26 & 0.000694 & 0.0093 & 0.496302 \tabularnewline
27 & 0.096999 & 1.2978 & 0.098019 \tabularnewline
28 & -0.13834 & -1.8509 & 0.032919 \tabularnewline
29 & -0.09655 & -1.2918 & 0.099053 \tabularnewline
30 & 0.162449 & 2.1734 & 0.015531 \tabularnewline
31 & -0.149783 & -2.004 & 0.023291 \tabularnewline
32 & 0.011576 & 0.1549 & 0.438546 \tabularnewline
33 & 0.150516 & 2.0138 & 0.022766 \tabularnewline
34 & -0.075295 & -1.0074 & 0.157557 \tabularnewline
35 & 0.001574 & 0.0211 & 0.491611 \tabularnewline
36 & 0.000872 & 0.0117 & 0.495355 \tabularnewline
37 & 0.003633 & 0.0486 & 0.480646 \tabularnewline
38 & -0.027462 & -0.3674 & 0.356869 \tabularnewline
39 & 8.3e-05 & 0.0011 & 0.49956 \tabularnewline
40 & 0.133575 & 1.7871 & 0.037806 \tabularnewline
41 & -0.103159 & -1.3802 & 0.084627 \tabularnewline
42 & -0.063278 & -0.8466 & 0.199175 \tabularnewline
43 & 0.066643 & 0.8916 & 0.186897 \tabularnewline
44 & 0.045519 & 0.609 & 0.271645 \tabularnewline
45 & -0.181149 & -2.4236 & 0.008181 \tabularnewline
46 & 0.216263 & 2.8934 & 0.002142 \tabularnewline
47 & -0.06537 & -0.8746 & 0.191483 \tabularnewline
48 & -0.049314 & -0.6598 & 0.255125 \tabularnewline
49 & 0.01045 & 0.1398 & 0.444485 \tabularnewline
50 & 0.072465 & 0.9695 & 0.166797 \tabularnewline
51 & -0.110033 & -1.4721 & 0.07137 \tabularnewline
52 & 0.035095 & 0.4695 & 0.319626 \tabularnewline
53 & 0.064583 & 0.8641 & 0.194356 \tabularnewline
54 & -0.004438 & -0.0594 & 0.476358 \tabularnewline
55 & 0.011934 & 0.1597 & 0.436661 \tabularnewline
56 & -0.091609 & -1.2256 & 0.110971 \tabularnewline
57 & 0.150528 & 2.0139 & 0.022757 \tabularnewline
58 & -0.151651 & -2.029 & 0.021972 \tabularnewline
59 & 0.009091 & 0.1216 & 0.451664 \tabularnewline
60 & 0.068509 & 0.9166 & 0.180295 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=33804&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]-0.272781[/C][C]-3.6496[/C][C]0.000172[/C][/ROW]
[ROW][C]2[/C][C]-0.063361[/C][C]-0.8477[/C][C]0.198864[/C][/ROW]
[ROW][C]3[/C][C]0.093124[/C][C]1.2459[/C][C]0.107211[/C][/ROW]
[ROW][C]4[/C][C]-0.081329[/C][C]-1.0881[/C][C]0.139006[/C][/ROW]
[ROW][C]5[/C][C]-0.083859[/C][C]-1.122[/C][C]0.131693[/C][/ROW]
[ROW][C]6[/C][C]0.075648[/C][C]1.0121[/C][C]0.156429[/C][/ROW]
[ROW][C]7[/C][C]-0.009025[/C][C]-0.1207[/C][C]0.452014[/C][/ROW]
[ROW][C]8[/C][C]-0.012131[/C][C]-0.1623[/C][C]0.435628[/C][/ROW]
[ROW][C]9[/C][C]-0.039741[/C][C]-0.5317[/C][C]0.297796[/C][/ROW]
[ROW][C]10[/C][C]0.041615[/C][C]0.5568[/C][C]0.289189[/C][/ROW]
[ROW][C]11[/C][C]0.09908[/C][C]1.3256[/C][C]0.09333[/C][/ROW]
[ROW][C]12[/C][C]-0.384541[/C][C]-5.1448[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]0.212089[/C][C]2.8376[/C][C]0.002535[/C][/ROW]
[ROW][C]14[/C][C]0.078194[/C][C]1.0462[/C][C]0.148448[/C][/ROW]
[ROW][C]15[/C][C]-0.138924[/C][C]-1.8587[/C][C]0.032358[/C][/ROW]
[ROW][C]16[/C][C]0.032728[/C][C]0.4379[/C][C]0.331002[/C][/ROW]
[ROW][C]17[/C][C]0.197509[/C][C]2.6425[/C][C]0.00448[/C][/ROW]
[ROW][C]18[/C][C]-0.133263[/C][C]-1.7829[/C][C]0.038146[/C][/ROW]
[ROW][C]19[/C][C]0.092576[/C][C]1.2386[/C][C]0.108562[/C][/ROW]
[ROW][C]20[/C][C]0.095617[/C][C]1.2793[/C][C]0.101228[/C][/ROW]
[ROW][C]21[/C][C]-0.08976[/C][C]-1.2009[/C][C]0.115688[/C][/ROW]
[ROW][C]22[/C][C]-0.059578[/C][C]-0.7971[/C][C]0.213226[/C][/ROW]
[ROW][C]23[/C][C]0.090134[/C][C]1.2059[/C][C]0.114721[/C][/ROW]
[ROW][C]24[/C][C]-0.011369[/C][C]-0.1521[/C][C]0.439639[/C][/ROW]
[ROW][C]25[/C][C]0.023448[/C][C]0.3137[/C][C]0.377051[/C][/ROW]
[ROW][C]26[/C][C]0.000694[/C][C]0.0093[/C][C]0.496302[/C][/ROW]
[ROW][C]27[/C][C]0.096999[/C][C]1.2978[/C][C]0.098019[/C][/ROW]
[ROW][C]28[/C][C]-0.13834[/C][C]-1.8509[/C][C]0.032919[/C][/ROW]
[ROW][C]29[/C][C]-0.09655[/C][C]-1.2918[/C][C]0.099053[/C][/ROW]
[ROW][C]30[/C][C]0.162449[/C][C]2.1734[/C][C]0.015531[/C][/ROW]
[ROW][C]31[/C][C]-0.149783[/C][C]-2.004[/C][C]0.023291[/C][/ROW]
[ROW][C]32[/C][C]0.011576[/C][C]0.1549[/C][C]0.438546[/C][/ROW]
[ROW][C]33[/C][C]0.150516[/C][C]2.0138[/C][C]0.022766[/C][/ROW]
[ROW][C]34[/C][C]-0.075295[/C][C]-1.0074[/C][C]0.157557[/C][/ROW]
[ROW][C]35[/C][C]0.001574[/C][C]0.0211[/C][C]0.491611[/C][/ROW]
[ROW][C]36[/C][C]0.000872[/C][C]0.0117[/C][C]0.495355[/C][/ROW]
[ROW][C]37[/C][C]0.003633[/C][C]0.0486[/C][C]0.480646[/C][/ROW]
[ROW][C]38[/C][C]-0.027462[/C][C]-0.3674[/C][C]0.356869[/C][/ROW]
[ROW][C]39[/C][C]8.3e-05[/C][C]0.0011[/C][C]0.49956[/C][/ROW]
[ROW][C]40[/C][C]0.133575[/C][C]1.7871[/C][C]0.037806[/C][/ROW]
[ROW][C]41[/C][C]-0.103159[/C][C]-1.3802[/C][C]0.084627[/C][/ROW]
[ROW][C]42[/C][C]-0.063278[/C][C]-0.8466[/C][C]0.199175[/C][/ROW]
[ROW][C]43[/C][C]0.066643[/C][C]0.8916[/C][C]0.186897[/C][/ROW]
[ROW][C]44[/C][C]0.045519[/C][C]0.609[/C][C]0.271645[/C][/ROW]
[ROW][C]45[/C][C]-0.181149[/C][C]-2.4236[/C][C]0.008181[/C][/ROW]
[ROW][C]46[/C][C]0.216263[/C][C]2.8934[/C][C]0.002142[/C][/ROW]
[ROW][C]47[/C][C]-0.06537[/C][C]-0.8746[/C][C]0.191483[/C][/ROW]
[ROW][C]48[/C][C]-0.049314[/C][C]-0.6598[/C][C]0.255125[/C][/ROW]
[ROW][C]49[/C][C]0.01045[/C][C]0.1398[/C][C]0.444485[/C][/ROW]
[ROW][C]50[/C][C]0.072465[/C][C]0.9695[/C][C]0.166797[/C][/ROW]
[ROW][C]51[/C][C]-0.110033[/C][C]-1.4721[/C][C]0.07137[/C][/ROW]
[ROW][C]52[/C][C]0.035095[/C][C]0.4695[/C][C]0.319626[/C][/ROW]
[ROW][C]53[/C][C]0.064583[/C][C]0.8641[/C][C]0.194356[/C][/ROW]
[ROW][C]54[/C][C]-0.004438[/C][C]-0.0594[/C][C]0.476358[/C][/ROW]
[ROW][C]55[/C][C]0.011934[/C][C]0.1597[/C][C]0.436661[/C][/ROW]
[ROW][C]56[/C][C]-0.091609[/C][C]-1.2256[/C][C]0.110971[/C][/ROW]
[ROW][C]57[/C][C]0.150528[/C][C]2.0139[/C][C]0.022757[/C][/ROW]
[ROW][C]58[/C][C]-0.151651[/C][C]-2.029[/C][C]0.021972[/C][/ROW]
[ROW][C]59[/C][C]0.009091[/C][C]0.1216[/C][C]0.451664[/C][/ROW]
[ROW][C]60[/C][C]0.068509[/C][C]0.9166[/C][C]0.180295[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=33804&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=33804&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
1-0.272781-3.64960.000172
2-0.063361-0.84770.198864
30.0931241.24590.107211
4-0.081329-1.08810.139006
5-0.083859-1.1220.131693
60.0756481.01210.156429
7-0.009025-0.12070.452014
8-0.012131-0.16230.435628
9-0.039741-0.53170.297796
100.0416150.55680.289189
110.099081.32560.09333
12-0.384541-5.14480
130.2120892.83760.002535
140.0781941.04620.148448
15-0.138924-1.85870.032358
160.0327280.43790.331002
170.1975092.64250.00448
18-0.133263-1.78290.038146
190.0925761.23860.108562
200.0956171.27930.101228
21-0.08976-1.20090.115688
22-0.059578-0.79710.213226
230.0901341.20590.114721
24-0.011369-0.15210.439639
250.0234480.31370.377051
260.0006940.00930.496302
270.0969991.29780.098019
28-0.13834-1.85090.032919
29-0.09655-1.29180.099053
300.1624492.17340.015531
31-0.149783-2.0040.023291
320.0115760.15490.438546
330.1505162.01380.022766
34-0.075295-1.00740.157557
350.0015740.02110.491611
360.0008720.01170.495355
370.0036330.04860.480646
38-0.027462-0.36740.356869
398.3e-050.00110.49956
400.1335751.78710.037806
41-0.103159-1.38020.084627
42-0.063278-0.84660.199175
430.0666430.89160.186897
440.0455190.6090.271645
45-0.181149-2.42360.008181
460.2162632.89340.002142
47-0.06537-0.87460.191483
48-0.049314-0.65980.255125
490.010450.13980.444485
500.0724650.96950.166797
51-0.110033-1.47210.07137
520.0350950.46950.319626
530.0645830.86410.194356
54-0.004438-0.05940.476358
550.0119340.15970.436661
56-0.091609-1.22560.110971
570.1505282.01390.022757
58-0.151651-2.0290.021972
590.0090910.12160.451664
600.0685090.91660.180295







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
1-0.272781-3.64960.000172
2-0.148846-1.99140.023977
30.0360910.48290.31489
4-0.056991-0.76250.223385
5-0.121619-1.62720.052732
6-0.001638-0.02190.491268
70.0037440.05010.480054
80.0006580.00880.496493
9-0.070147-0.93850.174624
100.0051480.06890.472582
110.12871.72190.043409
12-0.356729-4.77272e-06
130.0183570.24560.403136
140.0925821.23870.108547
15-0.034282-0.45870.323518
16-0.078085-1.04470.148784
170.1577072.110.018125
180.0472640.63240.263982
190.0877281.17370.121034
200.1193851.59730.055986
21-0.00124-0.01660.493391
22-0.04346-0.58150.280832
230.1230621.64650.050711
24-0.105805-1.41560.07932
250.1284411.71840.043724
260.0992661.32810.092919
270.0820751.09810.136821
28-0.14127-1.89010.030183
290.0055420.07410.470489
300.0794121.06250.144728
31-0.11184-1.49630.068166
320.0444920.59530.276208
330.0911771.21990.11206
34-0.108622-1.45330.07395
350.1215691.62650.052803
36-0.13928-1.86340.032019
370.0266780.35690.360784
38-0.01365-0.18260.427652
390.0430680.57620.282599
40-0.015721-0.21030.416825
41-0.07406-0.99090.161546
420.0095130.12730.449435
43-0.162473-2.17370.015519
440.0842671.12740.130538
45-0.084164-1.1260.130828
460.0719970.96320.168361
470.0579110.77480.219743
48-0.046569-0.62310.26702
49-0.009302-0.12440.45055
50-0.002563-0.03430.486341
51-0.017746-0.23740.406298
52-0.007074-0.09460.46235
53-0.005584-0.07470.470263
540.1383561.85110.032903
55-0.014739-0.19720.421948
56-0.004137-0.05540.47796
57-0.008094-0.10830.456945
580.0069260.09270.463137
59-0.029511-0.39480.346721
60-0.049437-0.66140.254595

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & -0.272781 & -3.6496 & 0.000172 \tabularnewline
2 & -0.148846 & -1.9914 & 0.023977 \tabularnewline
3 & 0.036091 & 0.4829 & 0.31489 \tabularnewline
4 & -0.056991 & -0.7625 & 0.223385 \tabularnewline
5 & -0.121619 & -1.6272 & 0.052732 \tabularnewline
6 & -0.001638 & -0.0219 & 0.491268 \tabularnewline
7 & 0.003744 & 0.0501 & 0.480054 \tabularnewline
8 & 0.000658 & 0.0088 & 0.496493 \tabularnewline
9 & -0.070147 & -0.9385 & 0.174624 \tabularnewline
10 & 0.005148 & 0.0689 & 0.472582 \tabularnewline
11 & 0.1287 & 1.7219 & 0.043409 \tabularnewline
12 & -0.356729 & -4.7727 & 2e-06 \tabularnewline
13 & 0.018357 & 0.2456 & 0.403136 \tabularnewline
14 & 0.092582 & 1.2387 & 0.108547 \tabularnewline
15 & -0.034282 & -0.4587 & 0.323518 \tabularnewline
16 & -0.078085 & -1.0447 & 0.148784 \tabularnewline
17 & 0.157707 & 2.11 & 0.018125 \tabularnewline
18 & 0.047264 & 0.6324 & 0.263982 \tabularnewline
19 & 0.087728 & 1.1737 & 0.121034 \tabularnewline
20 & 0.119385 & 1.5973 & 0.055986 \tabularnewline
21 & -0.00124 & -0.0166 & 0.493391 \tabularnewline
22 & -0.04346 & -0.5815 & 0.280832 \tabularnewline
23 & 0.123062 & 1.6465 & 0.050711 \tabularnewline
24 & -0.105805 & -1.4156 & 0.07932 \tabularnewline
25 & 0.128441 & 1.7184 & 0.043724 \tabularnewline
26 & 0.099266 & 1.3281 & 0.092919 \tabularnewline
27 & 0.082075 & 1.0981 & 0.136821 \tabularnewline
28 & -0.14127 & -1.8901 & 0.030183 \tabularnewline
29 & 0.005542 & 0.0741 & 0.470489 \tabularnewline
30 & 0.079412 & 1.0625 & 0.144728 \tabularnewline
31 & -0.11184 & -1.4963 & 0.068166 \tabularnewline
32 & 0.044492 & 0.5953 & 0.276208 \tabularnewline
33 & 0.091177 & 1.2199 & 0.11206 \tabularnewline
34 & -0.108622 & -1.4533 & 0.07395 \tabularnewline
35 & 0.121569 & 1.6265 & 0.052803 \tabularnewline
36 & -0.13928 & -1.8634 & 0.032019 \tabularnewline
37 & 0.026678 & 0.3569 & 0.360784 \tabularnewline
38 & -0.01365 & -0.1826 & 0.427652 \tabularnewline
39 & 0.043068 & 0.5762 & 0.282599 \tabularnewline
40 & -0.015721 & -0.2103 & 0.416825 \tabularnewline
41 & -0.07406 & -0.9909 & 0.161546 \tabularnewline
42 & 0.009513 & 0.1273 & 0.449435 \tabularnewline
43 & -0.162473 & -2.1737 & 0.015519 \tabularnewline
44 & 0.084267 & 1.1274 & 0.130538 \tabularnewline
45 & -0.084164 & -1.126 & 0.130828 \tabularnewline
46 & 0.071997 & 0.9632 & 0.168361 \tabularnewline
47 & 0.057911 & 0.7748 & 0.219743 \tabularnewline
48 & -0.046569 & -0.6231 & 0.26702 \tabularnewline
49 & -0.009302 & -0.1244 & 0.45055 \tabularnewline
50 & -0.002563 & -0.0343 & 0.486341 \tabularnewline
51 & -0.017746 & -0.2374 & 0.406298 \tabularnewline
52 & -0.007074 & -0.0946 & 0.46235 \tabularnewline
53 & -0.005584 & -0.0747 & 0.470263 \tabularnewline
54 & 0.138356 & 1.8511 & 0.032903 \tabularnewline
55 & -0.014739 & -0.1972 & 0.421948 \tabularnewline
56 & -0.004137 & -0.0554 & 0.47796 \tabularnewline
57 & -0.008094 & -0.1083 & 0.456945 \tabularnewline
58 & 0.006926 & 0.0927 & 0.463137 \tabularnewline
59 & -0.029511 & -0.3948 & 0.346721 \tabularnewline
60 & -0.049437 & -0.6614 & 0.254595 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=33804&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]-0.272781[/C][C]-3.6496[/C][C]0.000172[/C][/ROW]
[ROW][C]2[/C][C]-0.148846[/C][C]-1.9914[/C][C]0.023977[/C][/ROW]
[ROW][C]3[/C][C]0.036091[/C][C]0.4829[/C][C]0.31489[/C][/ROW]
[ROW][C]4[/C][C]-0.056991[/C][C]-0.7625[/C][C]0.223385[/C][/ROW]
[ROW][C]5[/C][C]-0.121619[/C][C]-1.6272[/C][C]0.052732[/C][/ROW]
[ROW][C]6[/C][C]-0.001638[/C][C]-0.0219[/C][C]0.491268[/C][/ROW]
[ROW][C]7[/C][C]0.003744[/C][C]0.0501[/C][C]0.480054[/C][/ROW]
[ROW][C]8[/C][C]0.000658[/C][C]0.0088[/C][C]0.496493[/C][/ROW]
[ROW][C]9[/C][C]-0.070147[/C][C]-0.9385[/C][C]0.174624[/C][/ROW]
[ROW][C]10[/C][C]0.005148[/C][C]0.0689[/C][C]0.472582[/C][/ROW]
[ROW][C]11[/C][C]0.1287[/C][C]1.7219[/C][C]0.043409[/C][/ROW]
[ROW][C]12[/C][C]-0.356729[/C][C]-4.7727[/C][C]2e-06[/C][/ROW]
[ROW][C]13[/C][C]0.018357[/C][C]0.2456[/C][C]0.403136[/C][/ROW]
[ROW][C]14[/C][C]0.092582[/C][C]1.2387[/C][C]0.108547[/C][/ROW]
[ROW][C]15[/C][C]-0.034282[/C][C]-0.4587[/C][C]0.323518[/C][/ROW]
[ROW][C]16[/C][C]-0.078085[/C][C]-1.0447[/C][C]0.148784[/C][/ROW]
[ROW][C]17[/C][C]0.157707[/C][C]2.11[/C][C]0.018125[/C][/ROW]
[ROW][C]18[/C][C]0.047264[/C][C]0.6324[/C][C]0.263982[/C][/ROW]
[ROW][C]19[/C][C]0.087728[/C][C]1.1737[/C][C]0.121034[/C][/ROW]
[ROW][C]20[/C][C]0.119385[/C][C]1.5973[/C][C]0.055986[/C][/ROW]
[ROW][C]21[/C][C]-0.00124[/C][C]-0.0166[/C][C]0.493391[/C][/ROW]
[ROW][C]22[/C][C]-0.04346[/C][C]-0.5815[/C][C]0.280832[/C][/ROW]
[ROW][C]23[/C][C]0.123062[/C][C]1.6465[/C][C]0.050711[/C][/ROW]
[ROW][C]24[/C][C]-0.105805[/C][C]-1.4156[/C][C]0.07932[/C][/ROW]
[ROW][C]25[/C][C]0.128441[/C][C]1.7184[/C][C]0.043724[/C][/ROW]
[ROW][C]26[/C][C]0.099266[/C][C]1.3281[/C][C]0.092919[/C][/ROW]
[ROW][C]27[/C][C]0.082075[/C][C]1.0981[/C][C]0.136821[/C][/ROW]
[ROW][C]28[/C][C]-0.14127[/C][C]-1.8901[/C][C]0.030183[/C][/ROW]
[ROW][C]29[/C][C]0.005542[/C][C]0.0741[/C][C]0.470489[/C][/ROW]
[ROW][C]30[/C][C]0.079412[/C][C]1.0625[/C][C]0.144728[/C][/ROW]
[ROW][C]31[/C][C]-0.11184[/C][C]-1.4963[/C][C]0.068166[/C][/ROW]
[ROW][C]32[/C][C]0.044492[/C][C]0.5953[/C][C]0.276208[/C][/ROW]
[ROW][C]33[/C][C]0.091177[/C][C]1.2199[/C][C]0.11206[/C][/ROW]
[ROW][C]34[/C][C]-0.108622[/C][C]-1.4533[/C][C]0.07395[/C][/ROW]
[ROW][C]35[/C][C]0.121569[/C][C]1.6265[/C][C]0.052803[/C][/ROW]
[ROW][C]36[/C][C]-0.13928[/C][C]-1.8634[/C][C]0.032019[/C][/ROW]
[ROW][C]37[/C][C]0.026678[/C][C]0.3569[/C][C]0.360784[/C][/ROW]
[ROW][C]38[/C][C]-0.01365[/C][C]-0.1826[/C][C]0.427652[/C][/ROW]
[ROW][C]39[/C][C]0.043068[/C][C]0.5762[/C][C]0.282599[/C][/ROW]
[ROW][C]40[/C][C]-0.015721[/C][C]-0.2103[/C][C]0.416825[/C][/ROW]
[ROW][C]41[/C][C]-0.07406[/C][C]-0.9909[/C][C]0.161546[/C][/ROW]
[ROW][C]42[/C][C]0.009513[/C][C]0.1273[/C][C]0.449435[/C][/ROW]
[ROW][C]43[/C][C]-0.162473[/C][C]-2.1737[/C][C]0.015519[/C][/ROW]
[ROW][C]44[/C][C]0.084267[/C][C]1.1274[/C][C]0.130538[/C][/ROW]
[ROW][C]45[/C][C]-0.084164[/C][C]-1.126[/C][C]0.130828[/C][/ROW]
[ROW][C]46[/C][C]0.071997[/C][C]0.9632[/C][C]0.168361[/C][/ROW]
[ROW][C]47[/C][C]0.057911[/C][C]0.7748[/C][C]0.219743[/C][/ROW]
[ROW][C]48[/C][C]-0.046569[/C][C]-0.6231[/C][C]0.26702[/C][/ROW]
[ROW][C]49[/C][C]-0.009302[/C][C]-0.1244[/C][C]0.45055[/C][/ROW]
[ROW][C]50[/C][C]-0.002563[/C][C]-0.0343[/C][C]0.486341[/C][/ROW]
[ROW][C]51[/C][C]-0.017746[/C][C]-0.2374[/C][C]0.406298[/C][/ROW]
[ROW][C]52[/C][C]-0.007074[/C][C]-0.0946[/C][C]0.46235[/C][/ROW]
[ROW][C]53[/C][C]-0.005584[/C][C]-0.0747[/C][C]0.470263[/C][/ROW]
[ROW][C]54[/C][C]0.138356[/C][C]1.8511[/C][C]0.032903[/C][/ROW]
[ROW][C]55[/C][C]-0.014739[/C][C]-0.1972[/C][C]0.421948[/C][/ROW]
[ROW][C]56[/C][C]-0.004137[/C][C]-0.0554[/C][C]0.47796[/C][/ROW]
[ROW][C]57[/C][C]-0.008094[/C][C]-0.1083[/C][C]0.456945[/C][/ROW]
[ROW][C]58[/C][C]0.006926[/C][C]0.0927[/C][C]0.463137[/C][/ROW]
[ROW][C]59[/C][C]-0.029511[/C][C]-0.3948[/C][C]0.346721[/C][/ROW]
[ROW][C]60[/C][C]-0.049437[/C][C]-0.6614[/C][C]0.254595[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=33804&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=33804&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
1-0.272781-3.64960.000172
2-0.148846-1.99140.023977
30.0360910.48290.31489
4-0.056991-0.76250.223385
5-0.121619-1.62720.052732
6-0.001638-0.02190.491268
70.0037440.05010.480054
80.0006580.00880.496493
9-0.070147-0.93850.174624
100.0051480.06890.472582
110.12871.72190.043409
12-0.356729-4.77272e-06
130.0183570.24560.403136
140.0925821.23870.108547
15-0.034282-0.45870.323518
16-0.078085-1.04470.148784
170.1577072.110.018125
180.0472640.63240.263982
190.0877281.17370.121034
200.1193851.59730.055986
21-0.00124-0.01660.493391
22-0.04346-0.58150.280832
230.1230621.64650.050711
24-0.105805-1.41560.07932
250.1284411.71840.043724
260.0992661.32810.092919
270.0820751.09810.136821
28-0.14127-1.89010.030183
290.0055420.07410.470489
300.0794121.06250.144728
31-0.11184-1.49630.068166
320.0444920.59530.276208
330.0911771.21990.11206
34-0.108622-1.45330.07395
350.1215691.62650.052803
36-0.13928-1.86340.032019
370.0266780.35690.360784
38-0.01365-0.18260.427652
390.0430680.57620.282599
40-0.015721-0.21030.416825
41-0.07406-0.99090.161546
420.0095130.12730.449435
43-0.162473-2.17370.015519
440.0842671.12740.130538
45-0.084164-1.1260.130828
460.0719970.96320.168361
470.0579110.77480.219743
48-0.046569-0.62310.26702
49-0.009302-0.12440.45055
50-0.002563-0.03430.486341
51-0.017746-0.23740.406298
52-0.007074-0.09460.46235
53-0.005584-0.07470.470263
540.1383561.85110.032903
55-0.014739-0.19720.421948
56-0.004137-0.05540.47796
57-0.008094-0.10830.456945
580.0069260.09270.463137
59-0.029511-0.39480.346721
60-0.049437-0.66140.254595



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')