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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationWed, 27 May 2009 10:22:20 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/May/27/t124344138219t4fw9modiuzdu.htm/, Retrieved Fri, 03 May 2024 03:31:20 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=40450, Retrieved Fri, 03 May 2024 03:31:20 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact138
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [(Partial) Autocorrelation Function] [Opdracht 6 Bis Oe...] [2009-05-27 15:39:24] [74be16979710d4c4e7c6647856088456]
-    D    [(Partial) Autocorrelation Function] [opdracht 6Bis Oef...] [2009-05-27 16:22:20] [d41d8cd98f00b204e9800998ecf8427e] [Current]
-   P       [(Partial) Autocorrelation Function] [Opdracht 6Bis Oef...] [2009-05-27 16:34:59] [74be16979710d4c4e7c6647856088456]
-   P         [(Partial) Autocorrelation Function] [Opdracht 6Bis Oef...] [2009-06-07 17:43:57] [74be16979710d4c4e7c6647856088456]
-   P       [(Partial) Autocorrelation Function] [Opgave 6 Bis Oefe...] [2009-06-02 20:40:10] [74be16979710d4c4e7c6647856088456]
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Dataseries X:
3779.7
3795.5
3813.1
3826.9
3833.3
3844.8
3851.3
3851.8
3854.1
3858.4
3861.6
3856.3
3855.8
3860.4
3855.1
3839.5
3833
3833.6
3826.8
3818.2
3811.4
3806.8
3810.3
3818.2
3858.9
3867.8
3872.3
3873.3
3876.7
3882.6
3883.5
3882.2
3888.1
3893.7
3901.9
3914.3
3930.3
3948.3
3971.5
3990.1
3993
3998
4015.8
4041.2
4060.7
4076.7
4103
4125.3
4139.7
4146.7
4158
4155.1
4144.8
4148.2
4142.5
4142.1
4145.4
4146.3
4143.5
4149.2
4158.9
4166.1
4179.1
4194.4
4211.7
4226.3
4235.8
4243.6
4258.7
4278.2
4298
4315.1
4334.3
4356
4374
4395.5




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\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 & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=40450&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]1 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=40450&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=40450&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 time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.9543318.31970
20.909487.92870
30.8658437.54820
40.8240117.18360
50.7831126.8270
60.7438096.48440
70.7064486.15870
80.670455.84480
90.6355295.54040
100.600935.23881e-06
110.5667714.9412e-06
120.5329744.64647e-06
130.5006894.36492e-05
140.470384.10075.1e-05
150.4406073.84110.000126
160.4094823.56980.000312
170.3786413.30090.000735
180.3481453.03510.001646
190.3154572.75010.003721
200.280692.4470.008357
210.2443862.13050.018182
220.20591.7950.038315
230.1648581.43720.077383
240.1233351.07520.142841
250.0824810.71910.237156
260.0402710.35110.363252
27-0.001455-0.01270.494956
28-0.04342-0.37850.353048
29-0.083866-0.73110.233474
30-0.121427-1.05860.146572
31-0.155855-1.35870.089129
32-0.189125-1.64880.051663
33-0.220001-1.91790.029439
34-0.247648-2.15890.017005
35-0.27301-2.380.009909
36-0.297847-2.59660.00565
37-0.32239-2.81050.003144
38-0.343783-2.9970.001841
39-0.360501-3.14280.001193
40-0.373696-3.25780.00084
41-0.38531-3.35910.000613
42-0.39561-3.44880.000461
43-0.403772-3.520.000366
44-0.409346-3.56860.000313
45-0.41283-3.5990.000283
46-0.41576-3.62450.00026
47-0.41662-3.6320.000254
48-0.414784-3.6160.000268

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.954331 & 8.3197 & 0 \tabularnewline
2 & 0.90948 & 7.9287 & 0 \tabularnewline
3 & 0.865843 & 7.5482 & 0 \tabularnewline
4 & 0.824011 & 7.1836 & 0 \tabularnewline
5 & 0.783112 & 6.827 & 0 \tabularnewline
6 & 0.743809 & 6.4844 & 0 \tabularnewline
7 & 0.706448 & 6.1587 & 0 \tabularnewline
8 & 0.67045 & 5.8448 & 0 \tabularnewline
9 & 0.635529 & 5.5404 & 0 \tabularnewline
10 & 0.60093 & 5.2388 & 1e-06 \tabularnewline
11 & 0.566771 & 4.941 & 2e-06 \tabularnewline
12 & 0.532974 & 4.6464 & 7e-06 \tabularnewline
13 & 0.500689 & 4.3649 & 2e-05 \tabularnewline
14 & 0.47038 & 4.1007 & 5.1e-05 \tabularnewline
15 & 0.440607 & 3.8411 & 0.000126 \tabularnewline
16 & 0.409482 & 3.5698 & 0.000312 \tabularnewline
17 & 0.378641 & 3.3009 & 0.000735 \tabularnewline
18 & 0.348145 & 3.0351 & 0.001646 \tabularnewline
19 & 0.315457 & 2.7501 & 0.003721 \tabularnewline
20 & 0.28069 & 2.447 & 0.008357 \tabularnewline
21 & 0.244386 & 2.1305 & 0.018182 \tabularnewline
22 & 0.2059 & 1.795 & 0.038315 \tabularnewline
23 & 0.164858 & 1.4372 & 0.077383 \tabularnewline
24 & 0.123335 & 1.0752 & 0.142841 \tabularnewline
25 & 0.082481 & 0.7191 & 0.237156 \tabularnewline
26 & 0.040271 & 0.3511 & 0.363252 \tabularnewline
27 & -0.001455 & -0.0127 & 0.494956 \tabularnewline
28 & -0.04342 & -0.3785 & 0.353048 \tabularnewline
29 & -0.083866 & -0.7311 & 0.233474 \tabularnewline
30 & -0.121427 & -1.0586 & 0.146572 \tabularnewline
31 & -0.155855 & -1.3587 & 0.089129 \tabularnewline
32 & -0.189125 & -1.6488 & 0.051663 \tabularnewline
33 & -0.220001 & -1.9179 & 0.029439 \tabularnewline
34 & -0.247648 & -2.1589 & 0.017005 \tabularnewline
35 & -0.27301 & -2.38 & 0.009909 \tabularnewline
36 & -0.297847 & -2.5966 & 0.00565 \tabularnewline
37 & -0.32239 & -2.8105 & 0.003144 \tabularnewline
38 & -0.343783 & -2.997 & 0.001841 \tabularnewline
39 & -0.360501 & -3.1428 & 0.001193 \tabularnewline
40 & -0.373696 & -3.2578 & 0.00084 \tabularnewline
41 & -0.38531 & -3.3591 & 0.000613 \tabularnewline
42 & -0.39561 & -3.4488 & 0.000461 \tabularnewline
43 & -0.403772 & -3.52 & 0.000366 \tabularnewline
44 & -0.409346 & -3.5686 & 0.000313 \tabularnewline
45 & -0.41283 & -3.599 & 0.000283 \tabularnewline
46 & -0.41576 & -3.6245 & 0.00026 \tabularnewline
47 & -0.41662 & -3.632 & 0.000254 \tabularnewline
48 & -0.414784 & -3.616 & 0.000268 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=40450&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]0.954331[/C][C]8.3197[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.90948[/C][C]7.9287[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.865843[/C][C]7.5482[/C][C]0[/C][/ROW]
[ROW][C]4[/C][C]0.824011[/C][C]7.1836[/C][C]0[/C][/ROW]
[ROW][C]5[/C][C]0.783112[/C][C]6.827[/C][C]0[/C][/ROW]
[ROW][C]6[/C][C]0.743809[/C][C]6.4844[/C][C]0[/C][/ROW]
[ROW][C]7[/C][C]0.706448[/C][C]6.1587[/C][C]0[/C][/ROW]
[ROW][C]8[/C][C]0.67045[/C][C]5.8448[/C][C]0[/C][/ROW]
[ROW][C]9[/C][C]0.635529[/C][C]5.5404[/C][C]0[/C][/ROW]
[ROW][C]10[/C][C]0.60093[/C][C]5.2388[/C][C]1e-06[/C][/ROW]
[ROW][C]11[/C][C]0.566771[/C][C]4.941[/C][C]2e-06[/C][/ROW]
[ROW][C]12[/C][C]0.532974[/C][C]4.6464[/C][C]7e-06[/C][/ROW]
[ROW][C]13[/C][C]0.500689[/C][C]4.3649[/C][C]2e-05[/C][/ROW]
[ROW][C]14[/C][C]0.47038[/C][C]4.1007[/C][C]5.1e-05[/C][/ROW]
[ROW][C]15[/C][C]0.440607[/C][C]3.8411[/C][C]0.000126[/C][/ROW]
[ROW][C]16[/C][C]0.409482[/C][C]3.5698[/C][C]0.000312[/C][/ROW]
[ROW][C]17[/C][C]0.378641[/C][C]3.3009[/C][C]0.000735[/C][/ROW]
[ROW][C]18[/C][C]0.348145[/C][C]3.0351[/C][C]0.001646[/C][/ROW]
[ROW][C]19[/C][C]0.315457[/C][C]2.7501[/C][C]0.003721[/C][/ROW]
[ROW][C]20[/C][C]0.28069[/C][C]2.447[/C][C]0.008357[/C][/ROW]
[ROW][C]21[/C][C]0.244386[/C][C]2.1305[/C][C]0.018182[/C][/ROW]
[ROW][C]22[/C][C]0.2059[/C][C]1.795[/C][C]0.038315[/C][/ROW]
[ROW][C]23[/C][C]0.164858[/C][C]1.4372[/C][C]0.077383[/C][/ROW]
[ROW][C]24[/C][C]0.123335[/C][C]1.0752[/C][C]0.142841[/C][/ROW]
[ROW][C]25[/C][C]0.082481[/C][C]0.7191[/C][C]0.237156[/C][/ROW]
[ROW][C]26[/C][C]0.040271[/C][C]0.3511[/C][C]0.363252[/C][/ROW]
[ROW][C]27[/C][C]-0.001455[/C][C]-0.0127[/C][C]0.494956[/C][/ROW]
[ROW][C]28[/C][C]-0.04342[/C][C]-0.3785[/C][C]0.353048[/C][/ROW]
[ROW][C]29[/C][C]-0.083866[/C][C]-0.7311[/C][C]0.233474[/C][/ROW]
[ROW][C]30[/C][C]-0.121427[/C][C]-1.0586[/C][C]0.146572[/C][/ROW]
[ROW][C]31[/C][C]-0.155855[/C][C]-1.3587[/C][C]0.089129[/C][/ROW]
[ROW][C]32[/C][C]-0.189125[/C][C]-1.6488[/C][C]0.051663[/C][/ROW]
[ROW][C]33[/C][C]-0.220001[/C][C]-1.9179[/C][C]0.029439[/C][/ROW]
[ROW][C]34[/C][C]-0.247648[/C][C]-2.1589[/C][C]0.017005[/C][/ROW]
[ROW][C]35[/C][C]-0.27301[/C][C]-2.38[/C][C]0.009909[/C][/ROW]
[ROW][C]36[/C][C]-0.297847[/C][C]-2.5966[/C][C]0.00565[/C][/ROW]
[ROW][C]37[/C][C]-0.32239[/C][C]-2.8105[/C][C]0.003144[/C][/ROW]
[ROW][C]38[/C][C]-0.343783[/C][C]-2.997[/C][C]0.001841[/C][/ROW]
[ROW][C]39[/C][C]-0.360501[/C][C]-3.1428[/C][C]0.001193[/C][/ROW]
[ROW][C]40[/C][C]-0.373696[/C][C]-3.2578[/C][C]0.00084[/C][/ROW]
[ROW][C]41[/C][C]-0.38531[/C][C]-3.3591[/C][C]0.000613[/C][/ROW]
[ROW][C]42[/C][C]-0.39561[/C][C]-3.4488[/C][C]0.000461[/C][/ROW]
[ROW][C]43[/C][C]-0.403772[/C][C]-3.52[/C][C]0.000366[/C][/ROW]
[ROW][C]44[/C][C]-0.409346[/C][C]-3.5686[/C][C]0.000313[/C][/ROW]
[ROW][C]45[/C][C]-0.41283[/C][C]-3.599[/C][C]0.000283[/C][/ROW]
[ROW][C]46[/C][C]-0.41576[/C][C]-3.6245[/C][C]0.00026[/C][/ROW]
[ROW][C]47[/C][C]-0.41662[/C][C]-3.632[/C][C]0.000254[/C][/ROW]
[ROW][C]48[/C][C]-0.414784[/C][C]-3.616[/C][C]0.000268[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=40450&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=40450&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
10.9543318.31970
20.909487.92870
30.8658437.54820
40.8240117.18360
50.7831126.8270
60.7438096.48440
70.7064486.15870
80.670455.84480
90.6355295.54040
100.600935.23881e-06
110.5667714.9412e-06
120.5329744.64647e-06
130.5006894.36492e-05
140.470384.10075.1e-05
150.4406073.84110.000126
160.4094823.56980.000312
170.3786413.30090.000735
180.3481453.03510.001646
190.3154572.75010.003721
200.280692.4470.008357
210.2443862.13050.018182
220.20591.7950.038315
230.1648581.43720.077383
240.1233351.07520.142841
250.0824810.71910.237156
260.0402710.35110.363252
27-0.001455-0.01270.494956
28-0.04342-0.37850.353048
29-0.083866-0.73110.233474
30-0.121427-1.05860.146572
31-0.155855-1.35870.089129
32-0.189125-1.64880.051663
33-0.220001-1.91790.029439
34-0.247648-2.15890.017005
35-0.27301-2.380.009909
36-0.297847-2.59660.00565
37-0.32239-2.81050.003144
38-0.343783-2.9970.001841
39-0.360501-3.14280.001193
40-0.373696-3.25780.00084
41-0.38531-3.35910.000613
42-0.39561-3.44880.000461
43-0.403772-3.520.000366
44-0.409346-3.56860.000313
45-0.41283-3.5990.000283
46-0.41576-3.62450.00026
47-0.41662-3.6320.000254
48-0.414784-3.6160.000268







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.9543318.31970
2-0.014209-0.12390.450873
3-0.009803-0.08550.466059
4-0.002925-0.02550.48986
5-0.012002-0.10460.458471
6-0.004395-0.03830.484769
70.0001069e-040.499634
8-0.005558-0.04850.480739
9-0.008079-0.07040.472019
10-0.0162-0.14120.444033
11-0.015188-0.13240.447507
12-0.016252-0.14170.443855
13-0.003686-0.03210.487224
140.0020610.0180.492855
15-0.01318-0.11490.454415
16-0.034279-0.29880.382939
17-0.017478-0.15240.439649
18-0.017416-0.15180.43986
19-0.046104-0.40190.344433
20-0.046865-0.40860.342005
21-0.043956-0.38320.351319
22-0.054587-0.47590.317763
23-0.062037-0.54080.295103
24-0.042714-0.37240.355328
25-0.032046-0.27940.39036
26-0.055995-0.48810.313425
27-0.037981-0.33110.370737
28-0.048151-0.41980.337917
29-0.030659-0.26730.394988
30-0.013527-0.11790.45322
31-0.008805-0.07680.469507
32-0.029895-0.26060.397546
33-0.015438-0.13460.446647
34-0.003308-0.02880.488536
35-0.011374-0.09920.460639
36-0.029178-0.25440.39995
37-0.030076-0.26220.39694
380.002230.01940.492271
390.0216610.18880.425364
400.0142580.12430.450703
41-0.001724-0.0150.494023
42-0.003617-0.03150.487466
430.0069120.06030.476056
440.0144340.12580.450098
450.0104910.09150.463686
46-0.005304-0.04620.481619
470.0118060.10290.459146
480.0177860.15510.438595

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.954331 & 8.3197 & 0 \tabularnewline
2 & -0.014209 & -0.1239 & 0.450873 \tabularnewline
3 & -0.009803 & -0.0855 & 0.466059 \tabularnewline
4 & -0.002925 & -0.0255 & 0.48986 \tabularnewline
5 & -0.012002 & -0.1046 & 0.458471 \tabularnewline
6 & -0.004395 & -0.0383 & 0.484769 \tabularnewline
7 & 0.000106 & 9e-04 & 0.499634 \tabularnewline
8 & -0.005558 & -0.0485 & 0.480739 \tabularnewline
9 & -0.008079 & -0.0704 & 0.472019 \tabularnewline
10 & -0.0162 & -0.1412 & 0.444033 \tabularnewline
11 & -0.015188 & -0.1324 & 0.447507 \tabularnewline
12 & -0.016252 & -0.1417 & 0.443855 \tabularnewline
13 & -0.003686 & -0.0321 & 0.487224 \tabularnewline
14 & 0.002061 & 0.018 & 0.492855 \tabularnewline
15 & -0.01318 & -0.1149 & 0.454415 \tabularnewline
16 & -0.034279 & -0.2988 & 0.382939 \tabularnewline
17 & -0.017478 & -0.1524 & 0.439649 \tabularnewline
18 & -0.017416 & -0.1518 & 0.43986 \tabularnewline
19 & -0.046104 & -0.4019 & 0.344433 \tabularnewline
20 & -0.046865 & -0.4086 & 0.342005 \tabularnewline
21 & -0.043956 & -0.3832 & 0.351319 \tabularnewline
22 & -0.054587 & -0.4759 & 0.317763 \tabularnewline
23 & -0.062037 & -0.5408 & 0.295103 \tabularnewline
24 & -0.042714 & -0.3724 & 0.355328 \tabularnewline
25 & -0.032046 & -0.2794 & 0.39036 \tabularnewline
26 & -0.055995 & -0.4881 & 0.313425 \tabularnewline
27 & -0.037981 & -0.3311 & 0.370737 \tabularnewline
28 & -0.048151 & -0.4198 & 0.337917 \tabularnewline
29 & -0.030659 & -0.2673 & 0.394988 \tabularnewline
30 & -0.013527 & -0.1179 & 0.45322 \tabularnewline
31 & -0.008805 & -0.0768 & 0.469507 \tabularnewline
32 & -0.029895 & -0.2606 & 0.397546 \tabularnewline
33 & -0.015438 & -0.1346 & 0.446647 \tabularnewline
34 & -0.003308 & -0.0288 & 0.488536 \tabularnewline
35 & -0.011374 & -0.0992 & 0.460639 \tabularnewline
36 & -0.029178 & -0.2544 & 0.39995 \tabularnewline
37 & -0.030076 & -0.2622 & 0.39694 \tabularnewline
38 & 0.00223 & 0.0194 & 0.492271 \tabularnewline
39 & 0.021661 & 0.1888 & 0.425364 \tabularnewline
40 & 0.014258 & 0.1243 & 0.450703 \tabularnewline
41 & -0.001724 & -0.015 & 0.494023 \tabularnewline
42 & -0.003617 & -0.0315 & 0.487466 \tabularnewline
43 & 0.006912 & 0.0603 & 0.476056 \tabularnewline
44 & 0.014434 & 0.1258 & 0.450098 \tabularnewline
45 & 0.010491 & 0.0915 & 0.463686 \tabularnewline
46 & -0.005304 & -0.0462 & 0.481619 \tabularnewline
47 & 0.011806 & 0.1029 & 0.459146 \tabularnewline
48 & 0.017786 & 0.1551 & 0.438595 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=40450&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]0.954331[/C][C]8.3197[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]-0.014209[/C][C]-0.1239[/C][C]0.450873[/C][/ROW]
[ROW][C]3[/C][C]-0.009803[/C][C]-0.0855[/C][C]0.466059[/C][/ROW]
[ROW][C]4[/C][C]-0.002925[/C][C]-0.0255[/C][C]0.48986[/C][/ROW]
[ROW][C]5[/C][C]-0.012002[/C][C]-0.1046[/C][C]0.458471[/C][/ROW]
[ROW][C]6[/C][C]-0.004395[/C][C]-0.0383[/C][C]0.484769[/C][/ROW]
[ROW][C]7[/C][C]0.000106[/C][C]9e-04[/C][C]0.499634[/C][/ROW]
[ROW][C]8[/C][C]-0.005558[/C][C]-0.0485[/C][C]0.480739[/C][/ROW]
[ROW][C]9[/C][C]-0.008079[/C][C]-0.0704[/C][C]0.472019[/C][/ROW]
[ROW][C]10[/C][C]-0.0162[/C][C]-0.1412[/C][C]0.444033[/C][/ROW]
[ROW][C]11[/C][C]-0.015188[/C][C]-0.1324[/C][C]0.447507[/C][/ROW]
[ROW][C]12[/C][C]-0.016252[/C][C]-0.1417[/C][C]0.443855[/C][/ROW]
[ROW][C]13[/C][C]-0.003686[/C][C]-0.0321[/C][C]0.487224[/C][/ROW]
[ROW][C]14[/C][C]0.002061[/C][C]0.018[/C][C]0.492855[/C][/ROW]
[ROW][C]15[/C][C]-0.01318[/C][C]-0.1149[/C][C]0.454415[/C][/ROW]
[ROW][C]16[/C][C]-0.034279[/C][C]-0.2988[/C][C]0.382939[/C][/ROW]
[ROW][C]17[/C][C]-0.017478[/C][C]-0.1524[/C][C]0.439649[/C][/ROW]
[ROW][C]18[/C][C]-0.017416[/C][C]-0.1518[/C][C]0.43986[/C][/ROW]
[ROW][C]19[/C][C]-0.046104[/C][C]-0.4019[/C][C]0.344433[/C][/ROW]
[ROW][C]20[/C][C]-0.046865[/C][C]-0.4086[/C][C]0.342005[/C][/ROW]
[ROW][C]21[/C][C]-0.043956[/C][C]-0.3832[/C][C]0.351319[/C][/ROW]
[ROW][C]22[/C][C]-0.054587[/C][C]-0.4759[/C][C]0.317763[/C][/ROW]
[ROW][C]23[/C][C]-0.062037[/C][C]-0.5408[/C][C]0.295103[/C][/ROW]
[ROW][C]24[/C][C]-0.042714[/C][C]-0.3724[/C][C]0.355328[/C][/ROW]
[ROW][C]25[/C][C]-0.032046[/C][C]-0.2794[/C][C]0.39036[/C][/ROW]
[ROW][C]26[/C][C]-0.055995[/C][C]-0.4881[/C][C]0.313425[/C][/ROW]
[ROW][C]27[/C][C]-0.037981[/C][C]-0.3311[/C][C]0.370737[/C][/ROW]
[ROW][C]28[/C][C]-0.048151[/C][C]-0.4198[/C][C]0.337917[/C][/ROW]
[ROW][C]29[/C][C]-0.030659[/C][C]-0.2673[/C][C]0.394988[/C][/ROW]
[ROW][C]30[/C][C]-0.013527[/C][C]-0.1179[/C][C]0.45322[/C][/ROW]
[ROW][C]31[/C][C]-0.008805[/C][C]-0.0768[/C][C]0.469507[/C][/ROW]
[ROW][C]32[/C][C]-0.029895[/C][C]-0.2606[/C][C]0.397546[/C][/ROW]
[ROW][C]33[/C][C]-0.015438[/C][C]-0.1346[/C][C]0.446647[/C][/ROW]
[ROW][C]34[/C][C]-0.003308[/C][C]-0.0288[/C][C]0.488536[/C][/ROW]
[ROW][C]35[/C][C]-0.011374[/C][C]-0.0992[/C][C]0.460639[/C][/ROW]
[ROW][C]36[/C][C]-0.029178[/C][C]-0.2544[/C][C]0.39995[/C][/ROW]
[ROW][C]37[/C][C]-0.030076[/C][C]-0.2622[/C][C]0.39694[/C][/ROW]
[ROW][C]38[/C][C]0.00223[/C][C]0.0194[/C][C]0.492271[/C][/ROW]
[ROW][C]39[/C][C]0.021661[/C][C]0.1888[/C][C]0.425364[/C][/ROW]
[ROW][C]40[/C][C]0.014258[/C][C]0.1243[/C][C]0.450703[/C][/ROW]
[ROW][C]41[/C][C]-0.001724[/C][C]-0.015[/C][C]0.494023[/C][/ROW]
[ROW][C]42[/C][C]-0.003617[/C][C]-0.0315[/C][C]0.487466[/C][/ROW]
[ROW][C]43[/C][C]0.006912[/C][C]0.0603[/C][C]0.476056[/C][/ROW]
[ROW][C]44[/C][C]0.014434[/C][C]0.1258[/C][C]0.450098[/C][/ROW]
[ROW][C]45[/C][C]0.010491[/C][C]0.0915[/C][C]0.463686[/C][/ROW]
[ROW][C]46[/C][C]-0.005304[/C][C]-0.0462[/C][C]0.481619[/C][/ROW]
[ROW][C]47[/C][C]0.011806[/C][C]0.1029[/C][C]0.459146[/C][/ROW]
[ROW][C]48[/C][C]0.017786[/C][C]0.1551[/C][C]0.438595[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=40450&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=40450&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
10.9543318.31970
2-0.014209-0.12390.450873
3-0.009803-0.08550.466059
4-0.002925-0.02550.48986
5-0.012002-0.10460.458471
6-0.004395-0.03830.484769
70.0001069e-040.499634
8-0.005558-0.04850.480739
9-0.008079-0.07040.472019
10-0.0162-0.14120.444033
11-0.015188-0.13240.447507
12-0.016252-0.14170.443855
13-0.003686-0.03210.487224
140.0020610.0180.492855
15-0.01318-0.11490.454415
16-0.034279-0.29880.382939
17-0.017478-0.15240.439649
18-0.017416-0.15180.43986
19-0.046104-0.40190.344433
20-0.046865-0.40860.342005
21-0.043956-0.38320.351319
22-0.054587-0.47590.317763
23-0.062037-0.54080.295103
24-0.042714-0.37240.355328
25-0.032046-0.27940.39036
26-0.055995-0.48810.313425
27-0.037981-0.33110.370737
28-0.048151-0.41980.337917
29-0.030659-0.26730.394988
30-0.013527-0.11790.45322
31-0.008805-0.07680.469507
32-0.029895-0.26060.397546
33-0.015438-0.13460.446647
34-0.003308-0.02880.488536
35-0.011374-0.09920.460639
36-0.029178-0.25440.39995
37-0.030076-0.26220.39694
380.002230.01940.492271
390.0216610.18880.425364
400.0142580.12430.450703
41-0.001724-0.0150.494023
42-0.003617-0.03150.487466
430.0069120.06030.476056
440.0144340.12580.450098
450.0104910.09150.463686
46-0.005304-0.04620.481619
470.0118060.10290.459146
480.0177860.15510.438595



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')