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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationThu, 06 Dec 2007 06:09:33 -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/06/t11969459341c7yjxwhfj2f0ve.htm/, Retrieved Fri, 03 May 2024 14:04:35 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=2589, Retrieved Fri, 03 May 2024 14:04:35 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsbridome
Estimated Impact212
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [(Partial) Autocorrelation Function] [workshop 3 correl...] [2007-12-05 14:30:41] [83bbd5f488ee4a5a1668b18d3e472ead]
-   PD    [(Partial) Autocorrelation Function] [estimation Q1] [2007-12-06 13:09:33] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataseries X:
2863
2688
3041
3119
3102
4608
3466
3748
4541
3650
4274
3827
3778
3453
4160
3595
3914
4159
3676
3794
3446
3504
3958
3353
3480
3098
2944
3389
3497
4404
3849
3734
3060
3507
3287
3215
3764
2734
2837
2766
3851
3289
3848
3348
3682
4058
3655
3811
3341
3032
3475
3353
3186
3902
4164
3499
4145
3796
3711
3949
3740
3243
4407
4814
3908
5250
3937
4004
5560
3922
3759
4138
4634
3996
4307
4142
4429
5219
4929
5754
5591
4162
4947
5208
4754
4487
5719
5719
4994
6032
4897
5339
5571
4635
4733
5004
5322
4168
4633
4763
4252
4996
4261
4084
5084
4236




Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\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 & 'Herman Ole Andreas Wold' @ 193.190.124.10:1001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=2589&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]'Herman Ole Andreas Wold' @ 193.190.124.10:1001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=2589&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=2589&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'Herman Ole Andreas Wold' @ 193.190.124.10:1001







Autocorrelation Function
Time lag kACF(k)T-STATP-value
0110.2470
1-0.49172-5.03860.999999
2-0.101994-1.04510.850818
30.3198343.27730.000711
4-0.265227-2.71780.996155
50.0364680.37370.354695
60.0927090.950.17215
7-0.025552-0.26180.603016
8-0.22439-2.29930.988267
90.3294653.3760.000516
10-0.182086-1.86580.967572
11-0.1012-1.0370.848938
120.3588963.67760.000187
13-0.296787-3.04120.998512
140.0801570.82140.206651
150.1472861.50920.067121
16-0.217216-2.22580.985918
170.0483010.49490.310839
180.0881610.90340.184197
19-0.07096-0.72710.765616
20-0.102256-1.04780.851435
210.1605281.64490.051488
22-0.125605-1.28710.899549
23-0.001525-0.01560.50622
240.208142.13280.017636
25-0.174707-1.79020.961849
260.0605450.62040.268169
270.0134370.13770.445375
28-0.033281-0.3410.633118
29-0.027685-0.28370.611394
300.0246780.25290.400429
31-0.10497-1.07560.857719
320.0544410.55790.289065
330.0783160.80250.212038
34-0.065831-0.67460.749283
35-0.049754-0.50980.694377
360.1364861.39860.082445
37-0.044667-0.45770.675943
38-0.063032-0.64590.740118
390.122631.25660.105847
40-0.105306-1.07910.858483
41-0.023345-0.23920.594299
420.0585560.60.274892
43-0.030972-0.31740.624202
44-0.014025-0.14370.557
45-0.027297-0.27970.609874
460.0777180.79640.213805
47-0.077457-0.79370.78542

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 10.247 & 0 \tabularnewline
1 & -0.49172 & -5.0386 & 0.999999 \tabularnewline
2 & -0.101994 & -1.0451 & 0.850818 \tabularnewline
3 & 0.319834 & 3.2773 & 0.000711 \tabularnewline
4 & -0.265227 & -2.7178 & 0.996155 \tabularnewline
5 & 0.036468 & 0.3737 & 0.354695 \tabularnewline
6 & 0.092709 & 0.95 & 0.17215 \tabularnewline
7 & -0.025552 & -0.2618 & 0.603016 \tabularnewline
8 & -0.22439 & -2.2993 & 0.988267 \tabularnewline
9 & 0.329465 & 3.376 & 0.000516 \tabularnewline
10 & -0.182086 & -1.8658 & 0.967572 \tabularnewline
11 & -0.1012 & -1.037 & 0.848938 \tabularnewline
12 & 0.358896 & 3.6776 & 0.000187 \tabularnewline
13 & -0.296787 & -3.0412 & 0.998512 \tabularnewline
14 & 0.080157 & 0.8214 & 0.206651 \tabularnewline
15 & 0.147286 & 1.5092 & 0.067121 \tabularnewline
16 & -0.217216 & -2.2258 & 0.985918 \tabularnewline
17 & 0.048301 & 0.4949 & 0.310839 \tabularnewline
18 & 0.088161 & 0.9034 & 0.184197 \tabularnewline
19 & -0.07096 & -0.7271 & 0.765616 \tabularnewline
20 & -0.102256 & -1.0478 & 0.851435 \tabularnewline
21 & 0.160528 & 1.6449 & 0.051488 \tabularnewline
22 & -0.125605 & -1.2871 & 0.899549 \tabularnewline
23 & -0.001525 & -0.0156 & 0.50622 \tabularnewline
24 & 0.20814 & 2.1328 & 0.017636 \tabularnewline
25 & -0.174707 & -1.7902 & 0.961849 \tabularnewline
26 & 0.060545 & 0.6204 & 0.268169 \tabularnewline
27 & 0.013437 & 0.1377 & 0.445375 \tabularnewline
28 & -0.033281 & -0.341 & 0.633118 \tabularnewline
29 & -0.027685 & -0.2837 & 0.611394 \tabularnewline
30 & 0.024678 & 0.2529 & 0.400429 \tabularnewline
31 & -0.10497 & -1.0756 & 0.857719 \tabularnewline
32 & 0.054441 & 0.5579 & 0.289065 \tabularnewline
33 & 0.078316 & 0.8025 & 0.212038 \tabularnewline
34 & -0.065831 & -0.6746 & 0.749283 \tabularnewline
35 & -0.049754 & -0.5098 & 0.694377 \tabularnewline
36 & 0.136486 & 1.3986 & 0.082445 \tabularnewline
37 & -0.044667 & -0.4577 & 0.675943 \tabularnewline
38 & -0.063032 & -0.6459 & 0.740118 \tabularnewline
39 & 0.12263 & 1.2566 & 0.105847 \tabularnewline
40 & -0.105306 & -1.0791 & 0.858483 \tabularnewline
41 & -0.023345 & -0.2392 & 0.594299 \tabularnewline
42 & 0.058556 & 0.6 & 0.274892 \tabularnewline
43 & -0.030972 & -0.3174 & 0.624202 \tabularnewline
44 & -0.014025 & -0.1437 & 0.557 \tabularnewline
45 & -0.027297 & -0.2797 & 0.609874 \tabularnewline
46 & 0.077718 & 0.7964 & 0.213805 \tabularnewline
47 & -0.077457 & -0.7937 & 0.78542 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=2589&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]10.247[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]-0.49172[/C][C]-5.0386[/C][C]0.999999[/C][/ROW]
[ROW][C]2[/C][C]-0.101994[/C][C]-1.0451[/C][C]0.850818[/C][/ROW]
[ROW][C]3[/C][C]0.319834[/C][C]3.2773[/C][C]0.000711[/C][/ROW]
[ROW][C]4[/C][C]-0.265227[/C][C]-2.7178[/C][C]0.996155[/C][/ROW]
[ROW][C]5[/C][C]0.036468[/C][C]0.3737[/C][C]0.354695[/C][/ROW]
[ROW][C]6[/C][C]0.092709[/C][C]0.95[/C][C]0.17215[/C][/ROW]
[ROW][C]7[/C][C]-0.025552[/C][C]-0.2618[/C][C]0.603016[/C][/ROW]
[ROW][C]8[/C][C]-0.22439[/C][C]-2.2993[/C][C]0.988267[/C][/ROW]
[ROW][C]9[/C][C]0.329465[/C][C]3.376[/C][C]0.000516[/C][/ROW]
[ROW][C]10[/C][C]-0.182086[/C][C]-1.8658[/C][C]0.967572[/C][/ROW]
[ROW][C]11[/C][C]-0.1012[/C][C]-1.037[/C][C]0.848938[/C][/ROW]
[ROW][C]12[/C][C]0.358896[/C][C]3.6776[/C][C]0.000187[/C][/ROW]
[ROW][C]13[/C][C]-0.296787[/C][C]-3.0412[/C][C]0.998512[/C][/ROW]
[ROW][C]14[/C][C]0.080157[/C][C]0.8214[/C][C]0.206651[/C][/ROW]
[ROW][C]15[/C][C]0.147286[/C][C]1.5092[/C][C]0.067121[/C][/ROW]
[ROW][C]16[/C][C]-0.217216[/C][C]-2.2258[/C][C]0.985918[/C][/ROW]
[ROW][C]17[/C][C]0.048301[/C][C]0.4949[/C][C]0.310839[/C][/ROW]
[ROW][C]18[/C][C]0.088161[/C][C]0.9034[/C][C]0.184197[/C][/ROW]
[ROW][C]19[/C][C]-0.07096[/C][C]-0.7271[/C][C]0.765616[/C][/ROW]
[ROW][C]20[/C][C]-0.102256[/C][C]-1.0478[/C][C]0.851435[/C][/ROW]
[ROW][C]21[/C][C]0.160528[/C][C]1.6449[/C][C]0.051488[/C][/ROW]
[ROW][C]22[/C][C]-0.125605[/C][C]-1.2871[/C][C]0.899549[/C][/ROW]
[ROW][C]23[/C][C]-0.001525[/C][C]-0.0156[/C][C]0.50622[/C][/ROW]
[ROW][C]24[/C][C]0.20814[/C][C]2.1328[/C][C]0.017636[/C][/ROW]
[ROW][C]25[/C][C]-0.174707[/C][C]-1.7902[/C][C]0.961849[/C][/ROW]
[ROW][C]26[/C][C]0.060545[/C][C]0.6204[/C][C]0.268169[/C][/ROW]
[ROW][C]27[/C][C]0.013437[/C][C]0.1377[/C][C]0.445375[/C][/ROW]
[ROW][C]28[/C][C]-0.033281[/C][C]-0.341[/C][C]0.633118[/C][/ROW]
[ROW][C]29[/C][C]-0.027685[/C][C]-0.2837[/C][C]0.611394[/C][/ROW]
[ROW][C]30[/C][C]0.024678[/C][C]0.2529[/C][C]0.400429[/C][/ROW]
[ROW][C]31[/C][C]-0.10497[/C][C]-1.0756[/C][C]0.857719[/C][/ROW]
[ROW][C]32[/C][C]0.054441[/C][C]0.5579[/C][C]0.289065[/C][/ROW]
[ROW][C]33[/C][C]0.078316[/C][C]0.8025[/C][C]0.212038[/C][/ROW]
[ROW][C]34[/C][C]-0.065831[/C][C]-0.6746[/C][C]0.749283[/C][/ROW]
[ROW][C]35[/C][C]-0.049754[/C][C]-0.5098[/C][C]0.694377[/C][/ROW]
[ROW][C]36[/C][C]0.136486[/C][C]1.3986[/C][C]0.082445[/C][/ROW]
[ROW][C]37[/C][C]-0.044667[/C][C]-0.4577[/C][C]0.675943[/C][/ROW]
[ROW][C]38[/C][C]-0.063032[/C][C]-0.6459[/C][C]0.740118[/C][/ROW]
[ROW][C]39[/C][C]0.12263[/C][C]1.2566[/C][C]0.105847[/C][/ROW]
[ROW][C]40[/C][C]-0.105306[/C][C]-1.0791[/C][C]0.858483[/C][/ROW]
[ROW][C]41[/C][C]-0.023345[/C][C]-0.2392[/C][C]0.594299[/C][/ROW]
[ROW][C]42[/C][C]0.058556[/C][C]0.6[/C][C]0.274892[/C][/ROW]
[ROW][C]43[/C][C]-0.030972[/C][C]-0.3174[/C][C]0.624202[/C][/ROW]
[ROW][C]44[/C][C]-0.014025[/C][C]-0.1437[/C][C]0.557[/C][/ROW]
[ROW][C]45[/C][C]-0.027297[/C][C]-0.2797[/C][C]0.609874[/C][/ROW]
[ROW][C]46[/C][C]0.077718[/C][C]0.7964[/C][C]0.213805[/C][/ROW]
[ROW][C]47[/C][C]-0.077457[/C][C]-0.7937[/C][C]0.78542[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=2589&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=2589&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
0110.2470
1-0.49172-5.03860.999999
2-0.101994-1.04510.850818
30.3198343.27730.000711
4-0.265227-2.71780.996155
50.0364680.37370.354695
60.0927090.950.17215
7-0.025552-0.26180.603016
8-0.22439-2.29930.988267
90.3294653.3760.000516
10-0.182086-1.86580.967572
11-0.1012-1.0370.848938
120.3588963.67760.000187
13-0.296787-3.04120.998512
140.0801570.82140.206651
150.1472861.50920.067121
16-0.217216-2.22580.985918
170.0483010.49490.310839
180.0881610.90340.184197
19-0.07096-0.72710.765616
20-0.102256-1.04780.851435
210.1605281.64490.051488
22-0.125605-1.28710.899549
23-0.001525-0.01560.50622
240.208142.13280.017636
25-0.174707-1.79020.961849
260.0605450.62040.268169
270.0134370.13770.445375
28-0.033281-0.3410.633118
29-0.027685-0.28370.611394
300.0246780.25290.400429
31-0.10497-1.07560.857719
320.0544410.55790.289065
330.0783160.80250.212038
34-0.065831-0.67460.749283
35-0.049754-0.50980.694377
360.1364861.39860.082445
37-0.044667-0.45770.675943
38-0.063032-0.64590.740118
390.122631.25660.105847
40-0.105306-1.07910.858483
41-0.023345-0.23920.594299
420.0585560.60.274892
43-0.030972-0.31740.624202
44-0.014025-0.14370.557
45-0.027297-0.27970.609874
460.0777180.79640.213805
47-0.077457-0.79370.78542







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
0-0.49172-5.03860.999999
1-0.453413-4.64610.999995
20.0398280.40810.342011
3-0.110054-1.12770.868996
4-0.091117-0.93370.823692
5-0.075728-0.7760.780249
60.0856080.87720.191185
7-0.302523-3.09990.998758
80.0768240.78720.216464
9-0.088483-0.90670.816673
10-0.080619-0.82610.794689
110.138761.42190.079015
120.0464280.47570.317624
130.0674440.69110.245514
140.1271181.30260.097786
15-0.036159-0.37050.644129
16-0.019083-0.19550.577326
17-0.050555-0.5180.697239
180.038430.39380.347266
19-0.085198-0.8730.807678
20-0.104051-1.06620.855613
21-0.0997-1.02160.845345
22-0.056527-0.57920.718162
230.0351950.36060.359544
240.1076871.10350.136174
250.0736050.75420.226202
26-0.040983-0.41990.66231
270.0448630.45970.323337
28-0.04328-0.44350.670836
29-0.058757-0.60210.72579
30-0.24324-2.49250.992875
31-0.039685-0.40660.657452
32-0.040157-0.41150.659222
330.1398021.43250.07748
34-0.140042-1.4350.922871
350.0459210.47050.31947
36-0.011137-0.11410.545318
37-0.007008-0.07180.528555
38-0.025166-0.25790.601496
390.0357710.36650.357347
40-0.076822-0.78720.783529
41-0.024827-0.25440.600159
42-0.02606-0.2670.605017
430.0970750.99470.161079
44-0.144453-1.48020.929093
450.0246450.25250.400558
46-0.088022-0.9020.815427
47-0.088439-0.90620.816556

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & -0.49172 & -5.0386 & 0.999999 \tabularnewline
1 & -0.453413 & -4.6461 & 0.999995 \tabularnewline
2 & 0.039828 & 0.4081 & 0.342011 \tabularnewline
3 & -0.110054 & -1.1277 & 0.868996 \tabularnewline
4 & -0.091117 & -0.9337 & 0.823692 \tabularnewline
5 & -0.075728 & -0.776 & 0.780249 \tabularnewline
6 & 0.085608 & 0.8772 & 0.191185 \tabularnewline
7 & -0.302523 & -3.0999 & 0.998758 \tabularnewline
8 & 0.076824 & 0.7872 & 0.216464 \tabularnewline
9 & -0.088483 & -0.9067 & 0.816673 \tabularnewline
10 & -0.080619 & -0.8261 & 0.794689 \tabularnewline
11 & 0.13876 & 1.4219 & 0.079015 \tabularnewline
12 & 0.046428 & 0.4757 & 0.317624 \tabularnewline
13 & 0.067444 & 0.6911 & 0.245514 \tabularnewline
14 & 0.127118 & 1.3026 & 0.097786 \tabularnewline
15 & -0.036159 & -0.3705 & 0.644129 \tabularnewline
16 & -0.019083 & -0.1955 & 0.577326 \tabularnewline
17 & -0.050555 & -0.518 & 0.697239 \tabularnewline
18 & 0.03843 & 0.3938 & 0.347266 \tabularnewline
19 & -0.085198 & -0.873 & 0.807678 \tabularnewline
20 & -0.104051 & -1.0662 & 0.855613 \tabularnewline
21 & -0.0997 & -1.0216 & 0.845345 \tabularnewline
22 & -0.056527 & -0.5792 & 0.718162 \tabularnewline
23 & 0.035195 & 0.3606 & 0.359544 \tabularnewline
24 & 0.107687 & 1.1035 & 0.136174 \tabularnewline
25 & 0.073605 & 0.7542 & 0.226202 \tabularnewline
26 & -0.040983 & -0.4199 & 0.66231 \tabularnewline
27 & 0.044863 & 0.4597 & 0.323337 \tabularnewline
28 & -0.04328 & -0.4435 & 0.670836 \tabularnewline
29 & -0.058757 & -0.6021 & 0.72579 \tabularnewline
30 & -0.24324 & -2.4925 & 0.992875 \tabularnewline
31 & -0.039685 & -0.4066 & 0.657452 \tabularnewline
32 & -0.040157 & -0.4115 & 0.659222 \tabularnewline
33 & 0.139802 & 1.4325 & 0.07748 \tabularnewline
34 & -0.140042 & -1.435 & 0.922871 \tabularnewline
35 & 0.045921 & 0.4705 & 0.31947 \tabularnewline
36 & -0.011137 & -0.1141 & 0.545318 \tabularnewline
37 & -0.007008 & -0.0718 & 0.528555 \tabularnewline
38 & -0.025166 & -0.2579 & 0.601496 \tabularnewline
39 & 0.035771 & 0.3665 & 0.357347 \tabularnewline
40 & -0.076822 & -0.7872 & 0.783529 \tabularnewline
41 & -0.024827 & -0.2544 & 0.600159 \tabularnewline
42 & -0.02606 & -0.267 & 0.605017 \tabularnewline
43 & 0.097075 & 0.9947 & 0.161079 \tabularnewline
44 & -0.144453 & -1.4802 & 0.929093 \tabularnewline
45 & 0.024645 & 0.2525 & 0.400558 \tabularnewline
46 & -0.088022 & -0.902 & 0.815427 \tabularnewline
47 & -0.088439 & -0.9062 & 0.816556 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=2589&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]-0.49172[/C][C]-5.0386[/C][C]0.999999[/C][/ROW]
[ROW][C]1[/C][C]-0.453413[/C][C]-4.6461[/C][C]0.999995[/C][/ROW]
[ROW][C]2[/C][C]0.039828[/C][C]0.4081[/C][C]0.342011[/C][/ROW]
[ROW][C]3[/C][C]-0.110054[/C][C]-1.1277[/C][C]0.868996[/C][/ROW]
[ROW][C]4[/C][C]-0.091117[/C][C]-0.9337[/C][C]0.823692[/C][/ROW]
[ROW][C]5[/C][C]-0.075728[/C][C]-0.776[/C][C]0.780249[/C][/ROW]
[ROW][C]6[/C][C]0.085608[/C][C]0.8772[/C][C]0.191185[/C][/ROW]
[ROW][C]7[/C][C]-0.302523[/C][C]-3.0999[/C][C]0.998758[/C][/ROW]
[ROW][C]8[/C][C]0.076824[/C][C]0.7872[/C][C]0.216464[/C][/ROW]
[ROW][C]9[/C][C]-0.088483[/C][C]-0.9067[/C][C]0.816673[/C][/ROW]
[ROW][C]10[/C][C]-0.080619[/C][C]-0.8261[/C][C]0.794689[/C][/ROW]
[ROW][C]11[/C][C]0.13876[/C][C]1.4219[/C][C]0.079015[/C][/ROW]
[ROW][C]12[/C][C]0.046428[/C][C]0.4757[/C][C]0.317624[/C][/ROW]
[ROW][C]13[/C][C]0.067444[/C][C]0.6911[/C][C]0.245514[/C][/ROW]
[ROW][C]14[/C][C]0.127118[/C][C]1.3026[/C][C]0.097786[/C][/ROW]
[ROW][C]15[/C][C]-0.036159[/C][C]-0.3705[/C][C]0.644129[/C][/ROW]
[ROW][C]16[/C][C]-0.019083[/C][C]-0.1955[/C][C]0.577326[/C][/ROW]
[ROW][C]17[/C][C]-0.050555[/C][C]-0.518[/C][C]0.697239[/C][/ROW]
[ROW][C]18[/C][C]0.03843[/C][C]0.3938[/C][C]0.347266[/C][/ROW]
[ROW][C]19[/C][C]-0.085198[/C][C]-0.873[/C][C]0.807678[/C][/ROW]
[ROW][C]20[/C][C]-0.104051[/C][C]-1.0662[/C][C]0.855613[/C][/ROW]
[ROW][C]21[/C][C]-0.0997[/C][C]-1.0216[/C][C]0.845345[/C][/ROW]
[ROW][C]22[/C][C]-0.056527[/C][C]-0.5792[/C][C]0.718162[/C][/ROW]
[ROW][C]23[/C][C]0.035195[/C][C]0.3606[/C][C]0.359544[/C][/ROW]
[ROW][C]24[/C][C]0.107687[/C][C]1.1035[/C][C]0.136174[/C][/ROW]
[ROW][C]25[/C][C]0.073605[/C][C]0.7542[/C][C]0.226202[/C][/ROW]
[ROW][C]26[/C][C]-0.040983[/C][C]-0.4199[/C][C]0.66231[/C][/ROW]
[ROW][C]27[/C][C]0.044863[/C][C]0.4597[/C][C]0.323337[/C][/ROW]
[ROW][C]28[/C][C]-0.04328[/C][C]-0.4435[/C][C]0.670836[/C][/ROW]
[ROW][C]29[/C][C]-0.058757[/C][C]-0.6021[/C][C]0.72579[/C][/ROW]
[ROW][C]30[/C][C]-0.24324[/C][C]-2.4925[/C][C]0.992875[/C][/ROW]
[ROW][C]31[/C][C]-0.039685[/C][C]-0.4066[/C][C]0.657452[/C][/ROW]
[ROW][C]32[/C][C]-0.040157[/C][C]-0.4115[/C][C]0.659222[/C][/ROW]
[ROW][C]33[/C][C]0.139802[/C][C]1.4325[/C][C]0.07748[/C][/ROW]
[ROW][C]34[/C][C]-0.140042[/C][C]-1.435[/C][C]0.922871[/C][/ROW]
[ROW][C]35[/C][C]0.045921[/C][C]0.4705[/C][C]0.31947[/C][/ROW]
[ROW][C]36[/C][C]-0.011137[/C][C]-0.1141[/C][C]0.545318[/C][/ROW]
[ROW][C]37[/C][C]-0.007008[/C][C]-0.0718[/C][C]0.528555[/C][/ROW]
[ROW][C]38[/C][C]-0.025166[/C][C]-0.2579[/C][C]0.601496[/C][/ROW]
[ROW][C]39[/C][C]0.035771[/C][C]0.3665[/C][C]0.357347[/C][/ROW]
[ROW][C]40[/C][C]-0.076822[/C][C]-0.7872[/C][C]0.783529[/C][/ROW]
[ROW][C]41[/C][C]-0.024827[/C][C]-0.2544[/C][C]0.600159[/C][/ROW]
[ROW][C]42[/C][C]-0.02606[/C][C]-0.267[/C][C]0.605017[/C][/ROW]
[ROW][C]43[/C][C]0.097075[/C][C]0.9947[/C][C]0.161079[/C][/ROW]
[ROW][C]44[/C][C]-0.144453[/C][C]-1.4802[/C][C]0.929093[/C][/ROW]
[ROW][C]45[/C][C]0.024645[/C][C]0.2525[/C][C]0.400558[/C][/ROW]
[ROW][C]46[/C][C]-0.088022[/C][C]-0.902[/C][C]0.815427[/C][/ROW]
[ROW][C]47[/C][C]-0.088439[/C][C]-0.9062[/C][C]0.816556[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=2589&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=2589&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
0-0.49172-5.03860.999999
1-0.453413-4.64610.999995
20.0398280.40810.342011
3-0.110054-1.12770.868996
4-0.091117-0.93370.823692
5-0.075728-0.7760.780249
60.0856080.87720.191185
7-0.302523-3.09990.998758
80.0768240.78720.216464
9-0.088483-0.90670.816673
10-0.080619-0.82610.794689
110.138761.42190.079015
120.0464280.47570.317624
130.0674440.69110.245514
140.1271181.30260.097786
15-0.036159-0.37050.644129
16-0.019083-0.19550.577326
17-0.050555-0.5180.697239
180.038430.39380.347266
19-0.085198-0.8730.807678
20-0.104051-1.06620.855613
21-0.0997-1.02160.845345
22-0.056527-0.57920.718162
230.0351950.36060.359544
240.1076871.10350.136174
250.0736050.75420.226202
26-0.040983-0.41990.66231
270.0448630.45970.323337
28-0.04328-0.44350.670836
29-0.058757-0.60210.72579
30-0.24324-2.49250.992875
31-0.039685-0.40660.657452
32-0.040157-0.41150.659222
330.1398021.43250.07748
34-0.140042-1.4350.922871
350.0459210.47050.31947
36-0.011137-0.11410.545318
37-0.007008-0.07180.528555
38-0.025166-0.25790.601496
390.0357710.36650.357347
40-0.076822-0.78720.783529
41-0.024827-0.25440.600159
42-0.02606-0.2670.605017
430.0970750.99470.161079
44-0.144453-1.48020.929093
450.0246450.25250.400558
46-0.088022-0.9020.815427
47-0.088439-0.90620.816556



Parameters (Session):
par1 = 48 ; par2 = 1 ; par3 = 1 ; par4 = 0 ; par5 = 12 ;
Parameters (R input):
par1 = 48 ; par2 = 1 ; par3 = 1 ; 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')