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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationTue, 23 Dec 2008 10:04:06 -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/23/t1230051897pich2s5iul6gmsx.htm/, Retrieved Sat, 18 May 2024 10:39:06 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=36357, Retrieved Sat, 18 May 2024 10:39:06 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact128
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Variance Reduction Matrix] [] [2008-12-23 15:10:07] [74be16979710d4c4e7c6647856088456]
- RMP   [Spectral Analysis] [] [2008-12-23 16:32:35] [74be16979710d4c4e7c6647856088456]
-   P     [Spectral Analysis] [] [2008-12-23 16:40:41] [74be16979710d4c4e7c6647856088456]
- RMPD        [(Partial) Autocorrelation Function] [] [2008-12-23 17:04:06] [d41d8cd98f00b204e9800998ecf8427e] [Current]
-               [(Partial) Autocorrelation Function] [] [2008-12-23 17:09:26] [74be16979710d4c4e7c6647856088456]
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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 computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 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 & 3 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=36357&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=36357&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=36357&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'George Udny Yule' @ 72.249.76.132







Autocorrelation Function
Time lag kACF(k)T-STATP-value
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
19-0.012624-0.10860.456907
20-0.07276-0.62590.266651
21-0.090084-0.77490.220425
22-0.06888-0.59250.277652
23-0.019767-0.170.43272
240.0030850.02650.489451
25-0.066756-0.57430.283769
26-0.160907-1.38420.085233
27-0.236005-2.03020.022966
28-0.270945-2.33080.011247
29-0.28487-2.45050.008314
30-0.303436-2.61030.005473
31-0.335162-2.88320.002576
32-0.370529-3.18740.001052
33-0.37173-3.19770.001019
34-0.343276-2.9530.002108
35-0.290826-2.50180.007284
36-0.251574-2.16410.016841
37-0.281275-2.41960.008997
38-0.328157-2.82290.003055
39-0.359698-3.09420.001392
40-0.358562-3.08450.001433
41-0.346396-2.97980.00195
42-0.338702-2.91360.002361
43-0.345226-2.96970.002008
44-0.357024-3.07120.001491
45-0.339689-2.92210.002304
46-0.300623-2.58610.005837
47-0.241366-2.07630.020669
48-0.192481-1.65580.051

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \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 & 0.456907 \tabularnewline
20 & -0.07276 & -0.6259 & 0.266651 \tabularnewline
21 & -0.090084 & -0.7749 & 0.220425 \tabularnewline
22 & -0.06888 & -0.5925 & 0.277652 \tabularnewline
23 & -0.019767 & -0.17 & 0.43272 \tabularnewline
24 & 0.003085 & 0.0265 & 0.489451 \tabularnewline
25 & -0.066756 & -0.5743 & 0.283769 \tabularnewline
26 & -0.160907 & -1.3842 & 0.085233 \tabularnewline
27 & -0.236005 & -2.0302 & 0.022966 \tabularnewline
28 & -0.270945 & -2.3308 & 0.011247 \tabularnewline
29 & -0.28487 & -2.4505 & 0.008314 \tabularnewline
30 & -0.303436 & -2.6103 & 0.005473 \tabularnewline
31 & -0.335162 & -2.8832 & 0.002576 \tabularnewline
32 & -0.370529 & -3.1874 & 0.001052 \tabularnewline
33 & -0.37173 & -3.1977 & 0.001019 \tabularnewline
34 & -0.343276 & -2.953 & 0.002108 \tabularnewline
35 & -0.290826 & -2.5018 & 0.007284 \tabularnewline
36 & -0.251574 & -2.1641 & 0.016841 \tabularnewline
37 & -0.281275 & -2.4196 & 0.008997 \tabularnewline
38 & -0.328157 & -2.8229 & 0.003055 \tabularnewline
39 & -0.359698 & -3.0942 & 0.001392 \tabularnewline
40 & -0.358562 & -3.0845 & 0.001433 \tabularnewline
41 & -0.346396 & -2.9798 & 0.00195 \tabularnewline
42 & -0.338702 & -2.9136 & 0.002361 \tabularnewline
43 & -0.345226 & -2.9697 & 0.002008 \tabularnewline
44 & -0.357024 & -3.0712 & 0.001491 \tabularnewline
45 & -0.339689 & -2.9221 & 0.002304 \tabularnewline
46 & -0.300623 & -2.5861 & 0.005837 \tabularnewline
47 & -0.241366 & -2.0763 & 0.020669 \tabularnewline
48 & -0.192481 & -1.6558 & 0.051 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=36357&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]0.910391[/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]0.456907[/C][/ROW]
[ROW][C]20[/C][C]-0.07276[/C][C]-0.6259[/C][C]0.266651[/C][/ROW]
[ROW][C]21[/C][C]-0.090084[/C][C]-0.7749[/C][C]0.220425[/C][/ROW]
[ROW][C]22[/C][C]-0.06888[/C][C]-0.5925[/C][C]0.277652[/C][/ROW]
[ROW][C]23[/C][C]-0.019767[/C][C]-0.17[/C][C]0.43272[/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]0.283769[/C][/ROW]
[ROW][C]26[/C][C]-0.160907[/C][C]-1.3842[/C][C]0.085233[/C][/ROW]
[ROW][C]27[/C][C]-0.236005[/C][C]-2.0302[/C][C]0.022966[/C][/ROW]
[ROW][C]28[/C][C]-0.270945[/C][C]-2.3308[/C][C]0.011247[/C][/ROW]
[ROW][C]29[/C][C]-0.28487[/C][C]-2.4505[/C][C]0.008314[/C][/ROW]
[ROW][C]30[/C][C]-0.303436[/C][C]-2.6103[/C][C]0.005473[/C][/ROW]
[ROW][C]31[/C][C]-0.335162[/C][C]-2.8832[/C][C]0.002576[/C][/ROW]
[ROW][C]32[/C][C]-0.370529[/C][C]-3.1874[/C][C]0.001052[/C][/ROW]
[ROW][C]33[/C][C]-0.37173[/C][C]-3.1977[/C][C]0.001019[/C][/ROW]
[ROW][C]34[/C][C]-0.343276[/C][C]-2.953[/C][C]0.002108[/C][/ROW]
[ROW][C]35[/C][C]-0.290826[/C][C]-2.5018[/C][C]0.007284[/C][/ROW]
[ROW][C]36[/C][C]-0.251574[/C][C]-2.1641[/C][C]0.016841[/C][/ROW]
[ROW][C]37[/C][C]-0.281275[/C][C]-2.4196[/C][C]0.008997[/C][/ROW]
[ROW][C]38[/C][C]-0.328157[/C][C]-2.8229[/C][C]0.003055[/C][/ROW]
[ROW][C]39[/C][C]-0.359698[/C][C]-3.0942[/C][C]0.001392[/C][/ROW]
[ROW][C]40[/C][C]-0.358562[/C][C]-3.0845[/C][C]0.001433[/C][/ROW]
[ROW][C]41[/C][C]-0.346396[/C][C]-2.9798[/C][C]0.00195[/C][/ROW]
[ROW][C]42[/C][C]-0.338702[/C][C]-2.9136[/C][C]0.002361[/C][/ROW]
[ROW][C]43[/C][C]-0.345226[/C][C]-2.9697[/C][C]0.002008[/C][/ROW]
[ROW][C]44[/C][C]-0.357024[/C][C]-3.0712[/C][C]0.001491[/C][/ROW]
[ROW][C]45[/C][C]-0.339689[/C][C]-2.9221[/C][C]0.002304[/C][/ROW]
[ROW][C]46[/C][C]-0.300623[/C][C]-2.5861[/C][C]0.005837[/C][/ROW]
[ROW][C]47[/C][C]-0.241366[/C][C]-2.0763[/C][C]0.020669[/C][/ROW]
[ROW][C]48[/C][C]-0.192481[/C][C]-1.6558[/C][C]0.051[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=36357&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=36357&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
10.9103917.83150
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
19-0.012624-0.10860.456907
20-0.07276-0.62590.266651
21-0.090084-0.77490.220425
22-0.06888-0.59250.277652
23-0.019767-0.170.43272
240.0030850.02650.489451
25-0.066756-0.57430.283769
26-0.160907-1.38420.085233
27-0.236005-2.03020.022966
28-0.270945-2.33080.011247
29-0.28487-2.45050.008314
30-0.303436-2.61030.005473
31-0.335162-2.88320.002576
32-0.370529-3.18740.001052
33-0.37173-3.19770.001019
34-0.343276-2.9530.002108
35-0.290826-2.50180.007284
36-0.251574-2.16410.016841
37-0.281275-2.41960.008997
38-0.328157-2.82290.003055
39-0.359698-3.09420.001392
40-0.358562-3.08450.001433
41-0.346396-2.97980.00195
42-0.338702-2.91360.002361
43-0.345226-2.96970.002008
44-0.357024-3.07120.001491
45-0.339689-2.92210.002304
46-0.300623-2.58610.005837
47-0.241366-2.07630.020669
48-0.192481-1.65580.051







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.9103917.83150
2-0.283906-2.44220.008492
30.1262711.08620.140452
40.1390171.19590.117783
50.061810.53170.298261
6-0.073836-0.63520.26364
7-0.107784-0.92720.178421
8-0.01049-0.09020.464172
90.2835082.43880.008567
100.1012640.87110.193258
110.1545371.32940.093904
12-0.132742-1.14190.12859
13-0.598544-5.14891e-06
140.1033250.88880.188487
15-0.080224-0.69010.24614
160.0293490.25250.400689
170.1220061.04950.148673
18-0.072599-0.62450.267102
190.1198581.03110.152935
200.0011850.01020.495946
21-0.164311-1.41350.080858
220.0097810.08410.466587
23-0.081939-0.70490.241553
240.0106550.09170.463611
25-0.110937-0.95430.171516
26-0.052188-0.44890.327394
270.0832680.71630.238032
28-0.059327-0.51040.305662
29-0.037454-0.32220.374107
30-0.011761-0.10120.459845
31-0.001207-0.01040.49587
320.0224280.19290.42377
33-0.090044-0.77460.220525
34-0.056667-0.48750.313684
350.0050020.0430.482896
360.0850560.73170.233339
37-0.03021-0.25990.39784
380.0243670.20960.417274
390.0092580.07960.468368
40-0.023989-0.20640.418538
41-0.042346-0.36430.358345
42-0.046128-0.39680.346326
43-0.075965-0.65350.257737
440.0460530.39620.346561
450.0163710.14080.444193
460.0099580.08570.465983
470.0387980.33380.369754
48-0.028101-0.24170.404826

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.910391 & 7.8315 & 0 \tabularnewline
2 & -0.283906 & -2.4422 & 0.008492 \tabularnewline
3 & 0.126271 & 1.0862 & 0.140452 \tabularnewline
4 & 0.139017 & 1.1959 & 0.117783 \tabularnewline
5 & 0.06181 & 0.5317 & 0.298261 \tabularnewline
6 & -0.073836 & -0.6352 & 0.26364 \tabularnewline
7 & -0.107784 & -0.9272 & 0.178421 \tabularnewline
8 & -0.01049 & -0.0902 & 0.464172 \tabularnewline
9 & 0.283508 & 2.4388 & 0.008567 \tabularnewline
10 & 0.101264 & 0.8711 & 0.193258 \tabularnewline
11 & 0.154537 & 1.3294 & 0.093904 \tabularnewline
12 & -0.132742 & -1.1419 & 0.12859 \tabularnewline
13 & -0.598544 & -5.1489 & 1e-06 \tabularnewline
14 & 0.103325 & 0.8888 & 0.188487 \tabularnewline
15 & -0.080224 & -0.6901 & 0.24614 \tabularnewline
16 & 0.029349 & 0.2525 & 0.400689 \tabularnewline
17 & 0.122006 & 1.0495 & 0.148673 \tabularnewline
18 & -0.072599 & -0.6245 & 0.267102 \tabularnewline
19 & 0.119858 & 1.0311 & 0.152935 \tabularnewline
20 & 0.001185 & 0.0102 & 0.495946 \tabularnewline
21 & -0.164311 & -1.4135 & 0.080858 \tabularnewline
22 & 0.009781 & 0.0841 & 0.466587 \tabularnewline
23 & -0.081939 & -0.7049 & 0.241553 \tabularnewline
24 & 0.010655 & 0.0917 & 0.463611 \tabularnewline
25 & -0.110937 & -0.9543 & 0.171516 \tabularnewline
26 & -0.052188 & -0.4489 & 0.327394 \tabularnewline
27 & 0.083268 & 0.7163 & 0.238032 \tabularnewline
28 & -0.059327 & -0.5104 & 0.305662 \tabularnewline
29 & -0.037454 & -0.3222 & 0.374107 \tabularnewline
30 & -0.011761 & -0.1012 & 0.459845 \tabularnewline
31 & -0.001207 & -0.0104 & 0.49587 \tabularnewline
32 & 0.022428 & 0.1929 & 0.42377 \tabularnewline
33 & -0.090044 & -0.7746 & 0.220525 \tabularnewline
34 & -0.056667 & -0.4875 & 0.313684 \tabularnewline
35 & 0.005002 & 0.043 & 0.482896 \tabularnewline
36 & 0.085056 & 0.7317 & 0.233339 \tabularnewline
37 & -0.03021 & -0.2599 & 0.39784 \tabularnewline
38 & 0.024367 & 0.2096 & 0.417274 \tabularnewline
39 & 0.009258 & 0.0796 & 0.468368 \tabularnewline
40 & -0.023989 & -0.2064 & 0.418538 \tabularnewline
41 & -0.042346 & -0.3643 & 0.358345 \tabularnewline
42 & -0.046128 & -0.3968 & 0.346326 \tabularnewline
43 & -0.075965 & -0.6535 & 0.257737 \tabularnewline
44 & 0.046053 & 0.3962 & 0.346561 \tabularnewline
45 & 0.016371 & 0.1408 & 0.444193 \tabularnewline
46 & 0.009958 & 0.0857 & 0.465983 \tabularnewline
47 & 0.038798 & 0.3338 & 0.369754 \tabularnewline
48 & -0.028101 & -0.2417 & 0.404826 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=36357&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]0.910391[/C][C]7.8315[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]-0.283906[/C][C]-2.4422[/C][C]0.008492[/C][/ROW]
[ROW][C]3[/C][C]0.126271[/C][C]1.0862[/C][C]0.140452[/C][/ROW]
[ROW][C]4[/C][C]0.139017[/C][C]1.1959[/C][C]0.117783[/C][/ROW]
[ROW][C]5[/C][C]0.06181[/C][C]0.5317[/C][C]0.298261[/C][/ROW]
[ROW][C]6[/C][C]-0.073836[/C][C]-0.6352[/C][C]0.26364[/C][/ROW]
[ROW][C]7[/C][C]-0.107784[/C][C]-0.9272[/C][C]0.178421[/C][/ROW]
[ROW][C]8[/C][C]-0.01049[/C][C]-0.0902[/C][C]0.464172[/C][/ROW]
[ROW][C]9[/C][C]0.283508[/C][C]2.4388[/C][C]0.008567[/C][/ROW]
[ROW][C]10[/C][C]0.101264[/C][C]0.8711[/C][C]0.193258[/C][/ROW]
[ROW][C]11[/C][C]0.154537[/C][C]1.3294[/C][C]0.093904[/C][/ROW]
[ROW][C]12[/C][C]-0.132742[/C][C]-1.1419[/C][C]0.12859[/C][/ROW]
[ROW][C]13[/C][C]-0.598544[/C][C]-5.1489[/C][C]1e-06[/C][/ROW]
[ROW][C]14[/C][C]0.103325[/C][C]0.8888[/C][C]0.188487[/C][/ROW]
[ROW][C]15[/C][C]-0.080224[/C][C]-0.6901[/C][C]0.24614[/C][/ROW]
[ROW][C]16[/C][C]0.029349[/C][C]0.2525[/C][C]0.400689[/C][/ROW]
[ROW][C]17[/C][C]0.122006[/C][C]1.0495[/C][C]0.148673[/C][/ROW]
[ROW][C]18[/C][C]-0.072599[/C][C]-0.6245[/C][C]0.267102[/C][/ROW]
[ROW][C]19[/C][C]0.119858[/C][C]1.0311[/C][C]0.152935[/C][/ROW]
[ROW][C]20[/C][C]0.001185[/C][C]0.0102[/C][C]0.495946[/C][/ROW]
[ROW][C]21[/C][C]-0.164311[/C][C]-1.4135[/C][C]0.080858[/C][/ROW]
[ROW][C]22[/C][C]0.009781[/C][C]0.0841[/C][C]0.466587[/C][/ROW]
[ROW][C]23[/C][C]-0.081939[/C][C]-0.7049[/C][C]0.241553[/C][/ROW]
[ROW][C]24[/C][C]0.010655[/C][C]0.0917[/C][C]0.463611[/C][/ROW]
[ROW][C]25[/C][C]-0.110937[/C][C]-0.9543[/C][C]0.171516[/C][/ROW]
[ROW][C]26[/C][C]-0.052188[/C][C]-0.4489[/C][C]0.327394[/C][/ROW]
[ROW][C]27[/C][C]0.083268[/C][C]0.7163[/C][C]0.238032[/C][/ROW]
[ROW][C]28[/C][C]-0.059327[/C][C]-0.5104[/C][C]0.305662[/C][/ROW]
[ROW][C]29[/C][C]-0.037454[/C][C]-0.3222[/C][C]0.374107[/C][/ROW]
[ROW][C]30[/C][C]-0.011761[/C][C]-0.1012[/C][C]0.459845[/C][/ROW]
[ROW][C]31[/C][C]-0.001207[/C][C]-0.0104[/C][C]0.49587[/C][/ROW]
[ROW][C]32[/C][C]0.022428[/C][C]0.1929[/C][C]0.42377[/C][/ROW]
[ROW][C]33[/C][C]-0.090044[/C][C]-0.7746[/C][C]0.220525[/C][/ROW]
[ROW][C]34[/C][C]-0.056667[/C][C]-0.4875[/C][C]0.313684[/C][/ROW]
[ROW][C]35[/C][C]0.005002[/C][C]0.043[/C][C]0.482896[/C][/ROW]
[ROW][C]36[/C][C]0.085056[/C][C]0.7317[/C][C]0.233339[/C][/ROW]
[ROW][C]37[/C][C]-0.03021[/C][C]-0.2599[/C][C]0.39784[/C][/ROW]
[ROW][C]38[/C][C]0.024367[/C][C]0.2096[/C][C]0.417274[/C][/ROW]
[ROW][C]39[/C][C]0.009258[/C][C]0.0796[/C][C]0.468368[/C][/ROW]
[ROW][C]40[/C][C]-0.023989[/C][C]-0.2064[/C][C]0.418538[/C][/ROW]
[ROW][C]41[/C][C]-0.042346[/C][C]-0.3643[/C][C]0.358345[/C][/ROW]
[ROW][C]42[/C][C]-0.046128[/C][C]-0.3968[/C][C]0.346326[/C][/ROW]
[ROW][C]43[/C][C]-0.075965[/C][C]-0.6535[/C][C]0.257737[/C][/ROW]
[ROW][C]44[/C][C]0.046053[/C][C]0.3962[/C][C]0.346561[/C][/ROW]
[ROW][C]45[/C][C]0.016371[/C][C]0.1408[/C][C]0.444193[/C][/ROW]
[ROW][C]46[/C][C]0.009958[/C][C]0.0857[/C][C]0.465983[/C][/ROW]
[ROW][C]47[/C][C]0.038798[/C][C]0.3338[/C][C]0.369754[/C][/ROW]
[ROW][C]48[/C][C]-0.028101[/C][C]-0.2417[/C][C]0.404826[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=36357&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=36357&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
10.9103917.83150
2-0.283906-2.44220.008492
30.1262711.08620.140452
40.1390171.19590.117783
50.061810.53170.298261
6-0.073836-0.63520.26364
7-0.107784-0.92720.178421
8-0.01049-0.09020.464172
90.2835082.43880.008567
100.1012640.87110.193258
110.1545371.32940.093904
12-0.132742-1.14190.12859
13-0.598544-5.14891e-06
140.1033250.88880.188487
15-0.080224-0.69010.24614
160.0293490.25250.400689
170.1220061.04950.148673
18-0.072599-0.62450.267102
190.1198581.03110.152935
200.0011850.01020.495946
21-0.164311-1.41350.080858
220.0097810.08410.466587
23-0.081939-0.70490.241553
240.0106550.09170.463611
25-0.110937-0.95430.171516
26-0.052188-0.44890.327394
270.0832680.71630.238032
28-0.059327-0.51040.305662
29-0.037454-0.32220.374107
30-0.011761-0.10120.459845
31-0.001207-0.01040.49587
320.0224280.19290.42377
33-0.090044-0.77460.220525
34-0.056667-0.48750.313684
350.0050020.0430.482896
360.0850560.73170.233339
37-0.03021-0.25990.39784
380.0243670.20960.417274
390.0092580.07960.468368
40-0.023989-0.20640.418538
41-0.042346-0.36430.358345
42-0.046128-0.39680.346326
43-0.075965-0.65350.257737
440.0460530.39620.346561
450.0163710.14080.444193
460.0099580.08570.465983
470.0387980.33380.369754
48-0.028101-0.24170.404826



Parameters (Session):
par1 = 48 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 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 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')