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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationSun, 16 Dec 2007 09:39:58 -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/2007/Dec/16/t1197822205bkwhr7zfu7qo4jo.htm/, Retrieved Thu, 02 May 2024 12:36:48 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=4216, Retrieved Thu, 02 May 2024 12:36:48 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsd=0 D=0 werkloosheid
Estimated Impact175
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [Autocorrelation F...] [2007-12-16 16:39:58] [0eafefa7b02d47065fceb6c46f54fbf9] [Current]
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Dataseries X:
513
503
471
471
476
475
470
461
455
456
517
525
523
519
509
512
519
517
510
509
501
507
569
580
578
565
547
555
562
561
555
544
537
543
594
611
613
611
594
595
591
589
584
573
567
569
621
629
628
612
595
597
593
590
580
574
573
573
620
626
620
588
566
557
561
549
532
526
511
499
555
565
542
527




Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\begin{tabular}{lllllllll}
\hline
Summary of compuational 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 & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=4216&T=0

[TABLE]
[ROW][C]Summary of compuational 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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=4216&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=4216&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 compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Autocorrelation Function
Time lag kACF(k)T-STATP-value
018.60230
10.9103917.83150
20.7802116.71160
30.6733635.79250
40.6110325.25631e-06
50.5790254.9812e-06
60.5409944.65387e-06
70.4757944.09295.4e-05
80.4000453.44130.000478
90.3765033.23880.000899
100.4009823.44940.000466
110.456193.92439.7e-05
120.4791024.12144.9e-05
130.3838953.30240.000739
140.2617182.25140.013665
150.1592681.37010.087403
160.1021370.87860.191226
170.0745220.64110.261731
180.0416010.35790.36073
19-0.012624-0.10860.543093
20-0.07276-0.62590.733349
21-0.090084-0.77490.779575
22-0.06888-0.59250.722348
23-0.019767-0.170.56728
240.0030850.02650.489451
25-0.066756-0.57430.716231
26-0.160907-1.38420.914767
27-0.236005-2.03020.977034
28-0.270945-2.33080.988753
29-0.28487-2.45050.991686
30-0.303436-2.61030.994527
31-0.335162-2.88320.997424
32-0.370529-3.18740.998948
33-0.37173-3.19770.998981
34-0.343276-2.9530.997892
35-0.290826-2.50180.992716
36-0.251574-2.16410.983159
37-0.281275-2.41960.991003
38-0.328157-2.82290.996945
39-0.359698-3.09420.998608
40-0.358562-3.08450.998567
41-0.346396-2.97980.99805
42-0.338702-2.91360.997639
43-0.345226-2.96970.997992
44-0.357024-3.07120.998509
45-0.339689-2.92210.997696
46-0.300623-2.58610.994163
47-0.241366-2.07630.979331

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 8.6023 & 0 \tabularnewline
1 & 0.910391 & 7.8315 & 0 \tabularnewline
2 & 0.780211 & 6.7116 & 0 \tabularnewline
3 & 0.673363 & 5.7925 & 0 \tabularnewline
4 & 0.611032 & 5.2563 & 1e-06 \tabularnewline
5 & 0.579025 & 4.981 & 2e-06 \tabularnewline
6 & 0.540994 & 4.6538 & 7e-06 \tabularnewline
7 & 0.475794 & 4.0929 & 5.4e-05 \tabularnewline
8 & 0.400045 & 3.4413 & 0.000478 \tabularnewline
9 & 0.376503 & 3.2388 & 0.000899 \tabularnewline
10 & 0.400982 & 3.4494 & 0.000466 \tabularnewline
11 & 0.45619 & 3.9243 & 9.7e-05 \tabularnewline
12 & 0.479102 & 4.1214 & 4.9e-05 \tabularnewline
13 & 0.383895 & 3.3024 & 0.000739 \tabularnewline
14 & 0.261718 & 2.2514 & 0.013665 \tabularnewline
15 & 0.159268 & 1.3701 & 0.087403 \tabularnewline
16 & 0.102137 & 0.8786 & 0.191226 \tabularnewline
17 & 0.074522 & 0.6411 & 0.261731 \tabularnewline
18 & 0.041601 & 0.3579 & 0.36073 \tabularnewline
19 & -0.012624 & -0.1086 & 0.543093 \tabularnewline
20 & -0.07276 & -0.6259 & 0.733349 \tabularnewline
21 & -0.090084 & -0.7749 & 0.779575 \tabularnewline
22 & -0.06888 & -0.5925 & 0.722348 \tabularnewline
23 & -0.019767 & -0.17 & 0.56728 \tabularnewline
24 & 0.003085 & 0.0265 & 0.489451 \tabularnewline
25 & -0.066756 & -0.5743 & 0.716231 \tabularnewline
26 & -0.160907 & -1.3842 & 0.914767 \tabularnewline
27 & -0.236005 & -2.0302 & 0.977034 \tabularnewline
28 & -0.270945 & -2.3308 & 0.988753 \tabularnewline
29 & -0.28487 & -2.4505 & 0.991686 \tabularnewline
30 & -0.303436 & -2.6103 & 0.994527 \tabularnewline
31 & -0.335162 & -2.8832 & 0.997424 \tabularnewline
32 & -0.370529 & -3.1874 & 0.998948 \tabularnewline
33 & -0.37173 & -3.1977 & 0.998981 \tabularnewline
34 & -0.343276 & -2.953 & 0.997892 \tabularnewline
35 & -0.290826 & -2.5018 & 0.992716 \tabularnewline
36 & -0.251574 & -2.1641 & 0.983159 \tabularnewline
37 & -0.281275 & -2.4196 & 0.991003 \tabularnewline
38 & -0.328157 & -2.8229 & 0.996945 \tabularnewline
39 & -0.359698 & -3.0942 & 0.998608 \tabularnewline
40 & -0.358562 & -3.0845 & 0.998567 \tabularnewline
41 & -0.346396 & -2.9798 & 0.99805 \tabularnewline
42 & -0.338702 & -2.9136 & 0.997639 \tabularnewline
43 & -0.345226 & -2.9697 & 0.997992 \tabularnewline
44 & -0.357024 & -3.0712 & 0.998509 \tabularnewline
45 & -0.339689 & -2.9221 & 0.997696 \tabularnewline
46 & -0.300623 & -2.5861 & 0.994163 \tabularnewline
47 & -0.241366 & -2.0763 & 0.979331 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=4216&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]0[/C][C]1[/C][C]8.6023[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]0.910391[/C][C]7.8315[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.780211[/C][C]6.7116[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.673363[/C][C]5.7925[/C][C]0[/C][/ROW]
[ROW][C]4[/C][C]0.611032[/C][C]5.2563[/C][C]1e-06[/C][/ROW]
[ROW][C]5[/C][C]0.579025[/C][C]4.981[/C][C]2e-06[/C][/ROW]
[ROW][C]6[/C][C]0.540994[/C][C]4.6538[/C][C]7e-06[/C][/ROW]
[ROW][C]7[/C][C]0.475794[/C][C]4.0929[/C][C]5.4e-05[/C][/ROW]
[ROW][C]8[/C][C]0.400045[/C][C]3.4413[/C][C]0.000478[/C][/ROW]
[ROW][C]9[/C][C]0.376503[/C][C]3.2388[/C][C]0.000899[/C][/ROW]
[ROW][C]10[/C][C]0.400982[/C][C]3.4494[/C][C]0.000466[/C][/ROW]
[ROW][C]11[/C][C]0.45619[/C][C]3.9243[/C][C]9.7e-05[/C][/ROW]
[ROW][C]12[/C][C]0.479102[/C][C]4.1214[/C][C]4.9e-05[/C][/ROW]
[ROW][C]13[/C][C]0.383895[/C][C]3.3024[/C][C]0.000739[/C][/ROW]
[ROW][C]14[/C][C]0.261718[/C][C]2.2514[/C][C]0.013665[/C][/ROW]
[ROW][C]15[/C][C]0.159268[/C][C]1.3701[/C][C]0.087403[/C][/ROW]
[ROW][C]16[/C][C]0.102137[/C][C]0.8786[/C][C]0.191226[/C][/ROW]
[ROW][C]17[/C][C]0.074522[/C][C]0.6411[/C][C]0.261731[/C][/ROW]
[ROW][C]18[/C][C]0.041601[/C][C]0.3579[/C][C]0.36073[/C][/ROW]
[ROW][C]19[/C][C]-0.012624[/C][C]-0.1086[/C][C]0.543093[/C][/ROW]
[ROW][C]20[/C][C]-0.07276[/C][C]-0.6259[/C][C]0.733349[/C][/ROW]
[ROW][C]21[/C][C]-0.090084[/C][C]-0.7749[/C][C]0.779575[/C][/ROW]
[ROW][C]22[/C][C]-0.06888[/C][C]-0.5925[/C][C]0.722348[/C][/ROW]
[ROW][C]23[/C][C]-0.019767[/C][C]-0.17[/C][C]0.56728[/C][/ROW]
[ROW][C]24[/C][C]0.003085[/C][C]0.0265[/C][C]0.489451[/C][/ROW]
[ROW][C]25[/C][C]-0.066756[/C][C]-0.5743[/C][C]0.716231[/C][/ROW]
[ROW][C]26[/C][C]-0.160907[/C][C]-1.3842[/C][C]0.914767[/C][/ROW]
[ROW][C]27[/C][C]-0.236005[/C][C]-2.0302[/C][C]0.977034[/C][/ROW]
[ROW][C]28[/C][C]-0.270945[/C][C]-2.3308[/C][C]0.988753[/C][/ROW]
[ROW][C]29[/C][C]-0.28487[/C][C]-2.4505[/C][C]0.991686[/C][/ROW]
[ROW][C]30[/C][C]-0.303436[/C][C]-2.6103[/C][C]0.994527[/C][/ROW]
[ROW][C]31[/C][C]-0.335162[/C][C]-2.8832[/C][C]0.997424[/C][/ROW]
[ROW][C]32[/C][C]-0.370529[/C][C]-3.1874[/C][C]0.998948[/C][/ROW]
[ROW][C]33[/C][C]-0.37173[/C][C]-3.1977[/C][C]0.998981[/C][/ROW]
[ROW][C]34[/C][C]-0.343276[/C][C]-2.953[/C][C]0.997892[/C][/ROW]
[ROW][C]35[/C][C]-0.290826[/C][C]-2.5018[/C][C]0.992716[/C][/ROW]
[ROW][C]36[/C][C]-0.251574[/C][C]-2.1641[/C][C]0.983159[/C][/ROW]
[ROW][C]37[/C][C]-0.281275[/C][C]-2.4196[/C][C]0.991003[/C][/ROW]
[ROW][C]38[/C][C]-0.328157[/C][C]-2.8229[/C][C]0.996945[/C][/ROW]
[ROW][C]39[/C][C]-0.359698[/C][C]-3.0942[/C][C]0.998608[/C][/ROW]
[ROW][C]40[/C][C]-0.358562[/C][C]-3.0845[/C][C]0.998567[/C][/ROW]
[ROW][C]41[/C][C]-0.346396[/C][C]-2.9798[/C][C]0.99805[/C][/ROW]
[ROW][C]42[/C][C]-0.338702[/C][C]-2.9136[/C][C]0.997639[/C][/ROW]
[ROW][C]43[/C][C]-0.345226[/C][C]-2.9697[/C][C]0.997992[/C][/ROW]
[ROW][C]44[/C][C]-0.357024[/C][C]-3.0712[/C][C]0.998509[/C][/ROW]
[ROW][C]45[/C][C]-0.339689[/C][C]-2.9221[/C][C]0.997696[/C][/ROW]
[ROW][C]46[/C][C]-0.300623[/C][C]-2.5861[/C][C]0.994163[/C][/ROW]
[ROW][C]47[/C][C]-0.241366[/C][C]-2.0763[/C][C]0.979331[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=4216&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=4216&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
018.60230
10.9103917.83150
20.7802116.71160
30.6733635.79250
40.6110325.25631e-06
50.5790254.9812e-06
60.5409944.65387e-06
70.4757944.09295.4e-05
80.4000453.44130.000478
90.3765033.23880.000899
100.4009823.44940.000466
110.456193.92439.7e-05
120.4791024.12144.9e-05
130.3838953.30240.000739
140.2617182.25140.013665
150.1592681.37010.087403
160.1021370.87860.191226
170.0745220.64110.261731
180.0416010.35790.36073
19-0.012624-0.10860.543093
20-0.07276-0.62590.733349
21-0.090084-0.77490.779575
22-0.06888-0.59250.722348
23-0.019767-0.170.56728
240.0030850.02650.489451
25-0.066756-0.57430.716231
26-0.160907-1.38420.914767
27-0.236005-2.03020.977034
28-0.270945-2.33080.988753
29-0.28487-2.45050.991686
30-0.303436-2.61030.994527
31-0.335162-2.88320.997424
32-0.370529-3.18740.998948
33-0.37173-3.19770.998981
34-0.343276-2.9530.997892
35-0.290826-2.50180.992716
36-0.251574-2.16410.983159
37-0.281275-2.41960.991003
38-0.328157-2.82290.996945
39-0.359698-3.09420.998608
40-0.358562-3.08450.998567
41-0.346396-2.97980.99805
42-0.338702-2.91360.997639
43-0.345226-2.96970.997992
44-0.357024-3.07120.998509
45-0.339689-2.92210.997696
46-0.300623-2.58610.994163
47-0.241366-2.07630.979331







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
00.9103917.83150
1-0.283906-2.44220.991508
20.1262711.08620.140452
30.1390171.19590.117783
40.061810.53170.298261
5-0.073836-0.63520.73636
6-0.107784-0.92720.821579
7-0.01049-0.09020.535828
80.2835082.43880.008567
90.1012640.87110.193258
100.1545371.32940.093904
11-0.132742-1.14190.87141
12-0.598544-5.14890.999999
130.1033250.88880.188487
14-0.080224-0.69010.75386
150.0293490.25250.400689
160.1220061.04950.148673
17-0.072599-0.62450.732898
180.1198581.03110.152935
190.0011850.01020.495946
20-0.164311-1.41350.919142
210.0097810.08410.466587
22-0.081939-0.70490.758447
230.0106550.09170.463611
24-0.110937-0.95430.828484
25-0.052188-0.44890.672606
260.0832680.71630.238032
27-0.059327-0.51040.694338
28-0.037454-0.32220.625893
29-0.011761-0.10120.540155
30-0.001207-0.01040.50413
310.0224280.19290.42377
32-0.090044-0.77460.779475
33-0.056667-0.48750.686316
340.0050020.0430.482896
350.0850560.73170.233339
36-0.03021-0.25990.60216
370.0243670.20960.417274
380.0092580.07960.468368
39-0.023989-0.20640.581462
40-0.042346-0.36430.641655
41-0.046128-0.39680.653674
42-0.075965-0.65350.742263
430.0460530.39620.346561
440.0163710.14080.444193
450.0099580.08570.465983
460.0387980.33380.369754
47-0.028101-0.24170.595174

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & 0.910391 & 7.8315 & 0 \tabularnewline
1 & -0.283906 & -2.4422 & 0.991508 \tabularnewline
2 & 0.126271 & 1.0862 & 0.140452 \tabularnewline
3 & 0.139017 & 1.1959 & 0.117783 \tabularnewline
4 & 0.06181 & 0.5317 & 0.298261 \tabularnewline
5 & -0.073836 & -0.6352 & 0.73636 \tabularnewline
6 & -0.107784 & -0.9272 & 0.821579 \tabularnewline
7 & -0.01049 & -0.0902 & 0.535828 \tabularnewline
8 & 0.283508 & 2.4388 & 0.008567 \tabularnewline
9 & 0.101264 & 0.8711 & 0.193258 \tabularnewline
10 & 0.154537 & 1.3294 & 0.093904 \tabularnewline
11 & -0.132742 & -1.1419 & 0.87141 \tabularnewline
12 & -0.598544 & -5.1489 & 0.999999 \tabularnewline
13 & 0.103325 & 0.8888 & 0.188487 \tabularnewline
14 & -0.080224 & -0.6901 & 0.75386 \tabularnewline
15 & 0.029349 & 0.2525 & 0.400689 \tabularnewline
16 & 0.122006 & 1.0495 & 0.148673 \tabularnewline
17 & -0.072599 & -0.6245 & 0.732898 \tabularnewline
18 & 0.119858 & 1.0311 & 0.152935 \tabularnewline
19 & 0.001185 & 0.0102 & 0.495946 \tabularnewline
20 & -0.164311 & -1.4135 & 0.919142 \tabularnewline
21 & 0.009781 & 0.0841 & 0.466587 \tabularnewline
22 & -0.081939 & -0.7049 & 0.758447 \tabularnewline
23 & 0.010655 & 0.0917 & 0.463611 \tabularnewline
24 & -0.110937 & -0.9543 & 0.828484 \tabularnewline
25 & -0.052188 & -0.4489 & 0.672606 \tabularnewline
26 & 0.083268 & 0.7163 & 0.238032 \tabularnewline
27 & -0.059327 & -0.5104 & 0.694338 \tabularnewline
28 & -0.037454 & -0.3222 & 0.625893 \tabularnewline
29 & -0.011761 & -0.1012 & 0.540155 \tabularnewline
30 & -0.001207 & -0.0104 & 0.50413 \tabularnewline
31 & 0.022428 & 0.1929 & 0.42377 \tabularnewline
32 & -0.090044 & -0.7746 & 0.779475 \tabularnewline
33 & -0.056667 & -0.4875 & 0.686316 \tabularnewline
34 & 0.005002 & 0.043 & 0.482896 \tabularnewline
35 & 0.085056 & 0.7317 & 0.233339 \tabularnewline
36 & -0.03021 & -0.2599 & 0.60216 \tabularnewline
37 & 0.024367 & 0.2096 & 0.417274 \tabularnewline
38 & 0.009258 & 0.0796 & 0.468368 \tabularnewline
39 & -0.023989 & -0.2064 & 0.581462 \tabularnewline
40 & -0.042346 & -0.3643 & 0.641655 \tabularnewline
41 & -0.046128 & -0.3968 & 0.653674 \tabularnewline
42 & -0.075965 & -0.6535 & 0.742263 \tabularnewline
43 & 0.046053 & 0.3962 & 0.346561 \tabularnewline
44 & 0.016371 & 0.1408 & 0.444193 \tabularnewline
45 & 0.009958 & 0.0857 & 0.465983 \tabularnewline
46 & 0.038798 & 0.3338 & 0.369754 \tabularnewline
47 & -0.028101 & -0.2417 & 0.595174 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=4216&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]0[/C][C]0.910391[/C][C]7.8315[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]-0.283906[/C][C]-2.4422[/C][C]0.991508[/C][/ROW]
[ROW][C]2[/C][C]0.126271[/C][C]1.0862[/C][C]0.140452[/C][/ROW]
[ROW][C]3[/C][C]0.139017[/C][C]1.1959[/C][C]0.117783[/C][/ROW]
[ROW][C]4[/C][C]0.06181[/C][C]0.5317[/C][C]0.298261[/C][/ROW]
[ROW][C]5[/C][C]-0.073836[/C][C]-0.6352[/C][C]0.73636[/C][/ROW]
[ROW][C]6[/C][C]-0.107784[/C][C]-0.9272[/C][C]0.821579[/C][/ROW]
[ROW][C]7[/C][C]-0.01049[/C][C]-0.0902[/C][C]0.535828[/C][/ROW]
[ROW][C]8[/C][C]0.283508[/C][C]2.4388[/C][C]0.008567[/C][/ROW]
[ROW][C]9[/C][C]0.101264[/C][C]0.8711[/C][C]0.193258[/C][/ROW]
[ROW][C]10[/C][C]0.154537[/C][C]1.3294[/C][C]0.093904[/C][/ROW]
[ROW][C]11[/C][C]-0.132742[/C][C]-1.1419[/C][C]0.87141[/C][/ROW]
[ROW][C]12[/C][C]-0.598544[/C][C]-5.1489[/C][C]0.999999[/C][/ROW]
[ROW][C]13[/C][C]0.103325[/C][C]0.8888[/C][C]0.188487[/C][/ROW]
[ROW][C]14[/C][C]-0.080224[/C][C]-0.6901[/C][C]0.75386[/C][/ROW]
[ROW][C]15[/C][C]0.029349[/C][C]0.2525[/C][C]0.400689[/C][/ROW]
[ROW][C]16[/C][C]0.122006[/C][C]1.0495[/C][C]0.148673[/C][/ROW]
[ROW][C]17[/C][C]-0.072599[/C][C]-0.6245[/C][C]0.732898[/C][/ROW]
[ROW][C]18[/C][C]0.119858[/C][C]1.0311[/C][C]0.152935[/C][/ROW]
[ROW][C]19[/C][C]0.001185[/C][C]0.0102[/C][C]0.495946[/C][/ROW]
[ROW][C]20[/C][C]-0.164311[/C][C]-1.4135[/C][C]0.919142[/C][/ROW]
[ROW][C]21[/C][C]0.009781[/C][C]0.0841[/C][C]0.466587[/C][/ROW]
[ROW][C]22[/C][C]-0.081939[/C][C]-0.7049[/C][C]0.758447[/C][/ROW]
[ROW][C]23[/C][C]0.010655[/C][C]0.0917[/C][C]0.463611[/C][/ROW]
[ROW][C]24[/C][C]-0.110937[/C][C]-0.9543[/C][C]0.828484[/C][/ROW]
[ROW][C]25[/C][C]-0.052188[/C][C]-0.4489[/C][C]0.672606[/C][/ROW]
[ROW][C]26[/C][C]0.083268[/C][C]0.7163[/C][C]0.238032[/C][/ROW]
[ROW][C]27[/C][C]-0.059327[/C][C]-0.5104[/C][C]0.694338[/C][/ROW]
[ROW][C]28[/C][C]-0.037454[/C][C]-0.3222[/C][C]0.625893[/C][/ROW]
[ROW][C]29[/C][C]-0.011761[/C][C]-0.1012[/C][C]0.540155[/C][/ROW]
[ROW][C]30[/C][C]-0.001207[/C][C]-0.0104[/C][C]0.50413[/C][/ROW]
[ROW][C]31[/C][C]0.022428[/C][C]0.1929[/C][C]0.42377[/C][/ROW]
[ROW][C]32[/C][C]-0.090044[/C][C]-0.7746[/C][C]0.779475[/C][/ROW]
[ROW][C]33[/C][C]-0.056667[/C][C]-0.4875[/C][C]0.686316[/C][/ROW]
[ROW][C]34[/C][C]0.005002[/C][C]0.043[/C][C]0.482896[/C][/ROW]
[ROW][C]35[/C][C]0.085056[/C][C]0.7317[/C][C]0.233339[/C][/ROW]
[ROW][C]36[/C][C]-0.03021[/C][C]-0.2599[/C][C]0.60216[/C][/ROW]
[ROW][C]37[/C][C]0.024367[/C][C]0.2096[/C][C]0.417274[/C][/ROW]
[ROW][C]38[/C][C]0.009258[/C][C]0.0796[/C][C]0.468368[/C][/ROW]
[ROW][C]39[/C][C]-0.023989[/C][C]-0.2064[/C][C]0.581462[/C][/ROW]
[ROW][C]40[/C][C]-0.042346[/C][C]-0.3643[/C][C]0.641655[/C][/ROW]
[ROW][C]41[/C][C]-0.046128[/C][C]-0.3968[/C][C]0.653674[/C][/ROW]
[ROW][C]42[/C][C]-0.075965[/C][C]-0.6535[/C][C]0.742263[/C][/ROW]
[ROW][C]43[/C][C]0.046053[/C][C]0.3962[/C][C]0.346561[/C][/ROW]
[ROW][C]44[/C][C]0.016371[/C][C]0.1408[/C][C]0.444193[/C][/ROW]
[ROW][C]45[/C][C]0.009958[/C][C]0.0857[/C][C]0.465983[/C][/ROW]
[ROW][C]46[/C][C]0.038798[/C][C]0.3338[/C][C]0.369754[/C][/ROW]
[ROW][C]47[/C][C]-0.028101[/C][C]-0.2417[/C][C]0.595174[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=4216&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=4216&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
00.9103917.83150
1-0.283906-2.44220.991508
20.1262711.08620.140452
30.1390171.19590.117783
40.061810.53170.298261
5-0.073836-0.63520.73636
6-0.107784-0.92720.821579
7-0.01049-0.09020.535828
80.2835082.43880.008567
90.1012640.87110.193258
100.1545371.32940.093904
11-0.132742-1.14190.87141
12-0.598544-5.14890.999999
130.1033250.88880.188487
14-0.080224-0.69010.75386
150.0293490.25250.400689
160.1220061.04950.148673
17-0.072599-0.62450.732898
180.1198581.03110.152935
190.0011850.01020.495946
20-0.164311-1.41350.919142
210.0097810.08410.466587
22-0.081939-0.70490.758447
230.0106550.09170.463611
24-0.110937-0.95430.828484
25-0.052188-0.44890.672606
260.0832680.71630.238032
27-0.059327-0.51040.694338
28-0.037454-0.32220.625893
29-0.011761-0.10120.540155
30-0.001207-0.01040.50413
310.0224280.19290.42377
32-0.090044-0.77460.779475
33-0.056667-0.48750.686316
340.0050020.0430.482896
350.0850560.73170.233339
36-0.03021-0.25990.60216
370.0243670.20960.417274
380.0092580.07960.468368
39-0.023989-0.20640.581462
40-0.042346-0.36430.641655
41-0.046128-0.39680.653674
42-0.075965-0.65350.742263
430.0460530.39620.346561
440.0163710.14080.444193
450.0099580.08570.465983
460.0387980.33380.369754
47-0.028101-0.24170.595174



Parameters (Session):
par1 = 12 ;
Parameters (R input):
par1 = 48 ; 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 1:par1) {
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(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-1,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(mytstat,lengthx),6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')