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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, 04 Jun 2009 05:03:57 -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/Jun/04/t1244113483sc95m5cqfbmt2uf.htm/, Retrieved Mon, 13 May 2024 23:06:58 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=41593, Retrieved Mon, 13 May 2024 23:06:58 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact173
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Mean Plot] [Brutoschuld van d...] [2009-06-04 10:54:18] [ef653b42671acc8de32235b938c43afe]
- RMP     [(Partial) Autocorrelation Function] [Brutoschuld van d...] [2009-06-04 11:03:57] [2eea656d1ea82c4ced0e8e79cdac0617] [Current]
- RMPD      [Bootstrap Plot - Central Tendency] [Studio 100 maximu...] [2009-06-04 11:35:38] [ef653b42671acc8de32235b938c43afe]
-   P         [Bootstrap Plot - Central Tendency] [Studio 100 maximu...] [2009-06-04 11:56:22] [ef653b42671acc8de32235b938c43afe]
-   P           [Bootstrap Plot - Central Tendency] [Studio 100 maximu...] [2009-06-04 12:00:38] [ef653b42671acc8de32235b938c43afe]
- RMPD          [Blocked Bootstrap Plot - Central Tendency] [Brutoschuld van d...] [2009-06-04 12:31:11] [ef653b42671acc8de32235b938c43afe]
-   P             [Blocked Bootstrap Plot - Central Tendency] [Brutoschuld van d...] [2009-06-04 12:33:42] [ef653b42671acc8de32235b938c43afe]
-   P               [Blocked Bootstrap Plot - Central Tendency] [Brutoschuld van d...] [2009-06-04 12:35:49] [ef653b42671acc8de32235b938c43afe]
- RMPD              [Variability] [Studio 100 maximu...] [2009-06-04 13:04:21] [ef653b42671acc8de32235b938c43afe]
- RMPD              [Standard Deviation Plot] [inschrijving nieu...] [2009-06-04 13:07:39] [ef653b42671acc8de32235b938c43afe]
- RMPD              [Standard Deviation-Mean Plot] [inschrijving nieu...] [2009-06-04 13:14:37] [ef653b42671acc8de32235b938c43afe]
-   P                 [Standard Deviation-Mean Plot] [inschrijving nieu...] [2009-06-07 11:50:31] [74be16979710d4c4e7c6647856088456]
- RMP               [Variability] [Brutoschuld van d...] [2009-06-04 13:29:11] [ef653b42671acc8de32235b938c43afe]
- RMP               [Standard Deviation Plot] [Brutoschuld van d...] [2009-06-04 13:30:21] [ef653b42671acc8de32235b938c43afe]
- RMP               [Standard Deviation-Mean Plot] [Brutoschuld van d...] [2009-06-04 13:32:37] [ef653b42671acc8de32235b938c43afe]
- RMPD              [Classical Decomposition] [inschrijving nieu...] [2009-06-04 13:58:57] [ef653b42671acc8de32235b938c43afe]
-    D                [Classical Decomposition] [Brutoschuld van d...] [2009-06-04 14:13:36] [ef653b42671acc8de32235b938c43afe]
- RM                  [Exponential Smoothing] [inschrijving nieu...] [2009-06-04 14:21:16] [ef653b42671acc8de32235b938c43afe]
-   PD                  [Exponential Smoothing] [Bruto schuld van ...] [2009-06-07 16:49:36] [74be16979710d4c4e7c6647856088456]
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Dataseries X:
321.935
310.215
309.030
305.333
294.735
289.351
288.225
289.648
290.155
288.301
289.148
289.741
287.595
285.226
287.816
283.519
290.304
282.166
280.041
282.500
279.913
277.793
281.229
275.363
273.547
270.601
273.338
271.917
273.985
273.911
270.798
271.115
271.344
274.525
276.663
273.784
274.027
269.160
270.491
270.846
270.333
272.599
272.764
270.674
268.175
268.351
272.482
268.714
269.419
265.518
264.101
267.179
271.322
270.157
271.296
269.907
271.244
266.844
270.911
269.829
269.285
263.018
266.680
265.814
268.457
269.508
270.223
264.676
265.521
262.971
266.003
267.722
266.433




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 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 & 1 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=41593&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=41593&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=41593&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'George Udny Yule' @ 72.249.76.132







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.8480277.24550
20.7590026.48490
30.6597515.63690
40.5721544.88853e-06
50.5297234.5261.1e-05
60.5139474.39121.9e-05
70.4918014.2023.7e-05
80.4660633.9828e-05
90.4230673.61470.000275
100.4034523.44710.000472
110.3732393.1890.001052
120.3440442.93950.0022
130.3099282.6480.004958
140.2837122.4240.008913
150.2339861.99920.024656
160.2170131.85420.033878
170.1691321.44510.07636
180.1505431.28620.101212
190.1389221.1870.119547
200.1042990.89110.187893
210.0625670.53460.297284
220.0437990.37420.354662
23-0.003854-0.03290.486911
24-0.021445-0.18320.427564
25-0.036485-0.31170.378068
26-0.038366-0.32780.372
27-0.058266-0.49780.310051
28-0.0705-0.60240.274403
29-0.08331-0.71180.239429
30-0.088642-0.75740.225638
31-0.08611-0.73570.232127
32-0.081235-0.69410.244921
33-0.091833-0.78460.217608
34-0.109527-0.93580.176231
35-0.140298-1.19870.11726
36-0.151945-1.29820.09915
37-0.171697-1.4670.073338
38-0.166721-1.42450.079287
39-0.170483-1.45660.074757
40-0.174152-1.4880.070535
41-0.185509-1.5850.058645
42-0.195749-1.67250.049356
43-0.213609-1.82510.03604
44-0.222024-1.8970.030894
45-0.231604-1.97880.025804
46-0.235125-2.00890.024123
47-0.267535-2.28580.012585
48-0.272933-2.33190.011233
49-0.282234-2.41140.009204
50-0.273498-2.33680.011099
51-0.24972-2.13360.018118
52-0.236046-2.01680.023699
53-0.247243-2.11240.019035
54-0.243342-2.07910.02056
55-0.24971-2.13350.018121
56-0.248553-2.12360.018545
57-0.253155-2.1630.01691
58-0.245459-2.09720.01972
59-0.251751-2.1510.017395
60-0.254647-2.17570.016408

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.848027 & 7.2455 & 0 \tabularnewline
2 & 0.759002 & 6.4849 & 0 \tabularnewline
3 & 0.659751 & 5.6369 & 0 \tabularnewline
4 & 0.572154 & 4.8885 & 3e-06 \tabularnewline
5 & 0.529723 & 4.526 & 1.1e-05 \tabularnewline
6 & 0.513947 & 4.3912 & 1.9e-05 \tabularnewline
7 & 0.491801 & 4.202 & 3.7e-05 \tabularnewline
8 & 0.466063 & 3.982 & 8e-05 \tabularnewline
9 & 0.423067 & 3.6147 & 0.000275 \tabularnewline
10 & 0.403452 & 3.4471 & 0.000472 \tabularnewline
11 & 0.373239 & 3.189 & 0.001052 \tabularnewline
12 & 0.344044 & 2.9395 & 0.0022 \tabularnewline
13 & 0.309928 & 2.648 & 0.004958 \tabularnewline
14 & 0.283712 & 2.424 & 0.008913 \tabularnewline
15 & 0.233986 & 1.9992 & 0.024656 \tabularnewline
16 & 0.217013 & 1.8542 & 0.033878 \tabularnewline
17 & 0.169132 & 1.4451 & 0.07636 \tabularnewline
18 & 0.150543 & 1.2862 & 0.101212 \tabularnewline
19 & 0.138922 & 1.187 & 0.119547 \tabularnewline
20 & 0.104299 & 0.8911 & 0.187893 \tabularnewline
21 & 0.062567 & 0.5346 & 0.297284 \tabularnewline
22 & 0.043799 & 0.3742 & 0.354662 \tabularnewline
23 & -0.003854 & -0.0329 & 0.486911 \tabularnewline
24 & -0.021445 & -0.1832 & 0.427564 \tabularnewline
25 & -0.036485 & -0.3117 & 0.378068 \tabularnewline
26 & -0.038366 & -0.3278 & 0.372 \tabularnewline
27 & -0.058266 & -0.4978 & 0.310051 \tabularnewline
28 & -0.0705 & -0.6024 & 0.274403 \tabularnewline
29 & -0.08331 & -0.7118 & 0.239429 \tabularnewline
30 & -0.088642 & -0.7574 & 0.225638 \tabularnewline
31 & -0.08611 & -0.7357 & 0.232127 \tabularnewline
32 & -0.081235 & -0.6941 & 0.244921 \tabularnewline
33 & -0.091833 & -0.7846 & 0.217608 \tabularnewline
34 & -0.109527 & -0.9358 & 0.176231 \tabularnewline
35 & -0.140298 & -1.1987 & 0.11726 \tabularnewline
36 & -0.151945 & -1.2982 & 0.09915 \tabularnewline
37 & -0.171697 & -1.467 & 0.073338 \tabularnewline
38 & -0.166721 & -1.4245 & 0.079287 \tabularnewline
39 & -0.170483 & -1.4566 & 0.074757 \tabularnewline
40 & -0.174152 & -1.488 & 0.070535 \tabularnewline
41 & -0.185509 & -1.585 & 0.058645 \tabularnewline
42 & -0.195749 & -1.6725 & 0.049356 \tabularnewline
43 & -0.213609 & -1.8251 & 0.03604 \tabularnewline
44 & -0.222024 & -1.897 & 0.030894 \tabularnewline
45 & -0.231604 & -1.9788 & 0.025804 \tabularnewline
46 & -0.235125 & -2.0089 & 0.024123 \tabularnewline
47 & -0.267535 & -2.2858 & 0.012585 \tabularnewline
48 & -0.272933 & -2.3319 & 0.011233 \tabularnewline
49 & -0.282234 & -2.4114 & 0.009204 \tabularnewline
50 & -0.273498 & -2.3368 & 0.011099 \tabularnewline
51 & -0.24972 & -2.1336 & 0.018118 \tabularnewline
52 & -0.236046 & -2.0168 & 0.023699 \tabularnewline
53 & -0.247243 & -2.1124 & 0.019035 \tabularnewline
54 & -0.243342 & -2.0791 & 0.02056 \tabularnewline
55 & -0.24971 & -2.1335 & 0.018121 \tabularnewline
56 & -0.248553 & -2.1236 & 0.018545 \tabularnewline
57 & -0.253155 & -2.163 & 0.01691 \tabularnewline
58 & -0.245459 & -2.0972 & 0.01972 \tabularnewline
59 & -0.251751 & -2.151 & 0.017395 \tabularnewline
60 & -0.254647 & -2.1757 & 0.016408 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=41593&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]0.848027[/C][C]7.2455[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.759002[/C][C]6.4849[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.659751[/C][C]5.6369[/C][C]0[/C][/ROW]
[ROW][C]4[/C][C]0.572154[/C][C]4.8885[/C][C]3e-06[/C][/ROW]
[ROW][C]5[/C][C]0.529723[/C][C]4.526[/C][C]1.1e-05[/C][/ROW]
[ROW][C]6[/C][C]0.513947[/C][C]4.3912[/C][C]1.9e-05[/C][/ROW]
[ROW][C]7[/C][C]0.491801[/C][C]4.202[/C][C]3.7e-05[/C][/ROW]
[ROW][C]8[/C][C]0.466063[/C][C]3.982[/C][C]8e-05[/C][/ROW]
[ROW][C]9[/C][C]0.423067[/C][C]3.6147[/C][C]0.000275[/C][/ROW]
[ROW][C]10[/C][C]0.403452[/C][C]3.4471[/C][C]0.000472[/C][/ROW]
[ROW][C]11[/C][C]0.373239[/C][C]3.189[/C][C]0.001052[/C][/ROW]
[ROW][C]12[/C][C]0.344044[/C][C]2.9395[/C][C]0.0022[/C][/ROW]
[ROW][C]13[/C][C]0.309928[/C][C]2.648[/C][C]0.004958[/C][/ROW]
[ROW][C]14[/C][C]0.283712[/C][C]2.424[/C][C]0.008913[/C][/ROW]
[ROW][C]15[/C][C]0.233986[/C][C]1.9992[/C][C]0.024656[/C][/ROW]
[ROW][C]16[/C][C]0.217013[/C][C]1.8542[/C][C]0.033878[/C][/ROW]
[ROW][C]17[/C][C]0.169132[/C][C]1.4451[/C][C]0.07636[/C][/ROW]
[ROW][C]18[/C][C]0.150543[/C][C]1.2862[/C][C]0.101212[/C][/ROW]
[ROW][C]19[/C][C]0.138922[/C][C]1.187[/C][C]0.119547[/C][/ROW]
[ROW][C]20[/C][C]0.104299[/C][C]0.8911[/C][C]0.187893[/C][/ROW]
[ROW][C]21[/C][C]0.062567[/C][C]0.5346[/C][C]0.297284[/C][/ROW]
[ROW][C]22[/C][C]0.043799[/C][C]0.3742[/C][C]0.354662[/C][/ROW]
[ROW][C]23[/C][C]-0.003854[/C][C]-0.0329[/C][C]0.486911[/C][/ROW]
[ROW][C]24[/C][C]-0.021445[/C][C]-0.1832[/C][C]0.427564[/C][/ROW]
[ROW][C]25[/C][C]-0.036485[/C][C]-0.3117[/C][C]0.378068[/C][/ROW]
[ROW][C]26[/C][C]-0.038366[/C][C]-0.3278[/C][C]0.372[/C][/ROW]
[ROW][C]27[/C][C]-0.058266[/C][C]-0.4978[/C][C]0.310051[/C][/ROW]
[ROW][C]28[/C][C]-0.0705[/C][C]-0.6024[/C][C]0.274403[/C][/ROW]
[ROW][C]29[/C][C]-0.08331[/C][C]-0.7118[/C][C]0.239429[/C][/ROW]
[ROW][C]30[/C][C]-0.088642[/C][C]-0.7574[/C][C]0.225638[/C][/ROW]
[ROW][C]31[/C][C]-0.08611[/C][C]-0.7357[/C][C]0.232127[/C][/ROW]
[ROW][C]32[/C][C]-0.081235[/C][C]-0.6941[/C][C]0.244921[/C][/ROW]
[ROW][C]33[/C][C]-0.091833[/C][C]-0.7846[/C][C]0.217608[/C][/ROW]
[ROW][C]34[/C][C]-0.109527[/C][C]-0.9358[/C][C]0.176231[/C][/ROW]
[ROW][C]35[/C][C]-0.140298[/C][C]-1.1987[/C][C]0.11726[/C][/ROW]
[ROW][C]36[/C][C]-0.151945[/C][C]-1.2982[/C][C]0.09915[/C][/ROW]
[ROW][C]37[/C][C]-0.171697[/C][C]-1.467[/C][C]0.073338[/C][/ROW]
[ROW][C]38[/C][C]-0.166721[/C][C]-1.4245[/C][C]0.079287[/C][/ROW]
[ROW][C]39[/C][C]-0.170483[/C][C]-1.4566[/C][C]0.074757[/C][/ROW]
[ROW][C]40[/C][C]-0.174152[/C][C]-1.488[/C][C]0.070535[/C][/ROW]
[ROW][C]41[/C][C]-0.185509[/C][C]-1.585[/C][C]0.058645[/C][/ROW]
[ROW][C]42[/C][C]-0.195749[/C][C]-1.6725[/C][C]0.049356[/C][/ROW]
[ROW][C]43[/C][C]-0.213609[/C][C]-1.8251[/C][C]0.03604[/C][/ROW]
[ROW][C]44[/C][C]-0.222024[/C][C]-1.897[/C][C]0.030894[/C][/ROW]
[ROW][C]45[/C][C]-0.231604[/C][C]-1.9788[/C][C]0.025804[/C][/ROW]
[ROW][C]46[/C][C]-0.235125[/C][C]-2.0089[/C][C]0.024123[/C][/ROW]
[ROW][C]47[/C][C]-0.267535[/C][C]-2.2858[/C][C]0.012585[/C][/ROW]
[ROW][C]48[/C][C]-0.272933[/C][C]-2.3319[/C][C]0.011233[/C][/ROW]
[ROW][C]49[/C][C]-0.282234[/C][C]-2.4114[/C][C]0.009204[/C][/ROW]
[ROW][C]50[/C][C]-0.273498[/C][C]-2.3368[/C][C]0.011099[/C][/ROW]
[ROW][C]51[/C][C]-0.24972[/C][C]-2.1336[/C][C]0.018118[/C][/ROW]
[ROW][C]52[/C][C]-0.236046[/C][C]-2.0168[/C][C]0.023699[/C][/ROW]
[ROW][C]53[/C][C]-0.247243[/C][C]-2.1124[/C][C]0.019035[/C][/ROW]
[ROW][C]54[/C][C]-0.243342[/C][C]-2.0791[/C][C]0.02056[/C][/ROW]
[ROW][C]55[/C][C]-0.24971[/C][C]-2.1335[/C][C]0.018121[/C][/ROW]
[ROW][C]56[/C][C]-0.248553[/C][C]-2.1236[/C][C]0.018545[/C][/ROW]
[ROW][C]57[/C][C]-0.253155[/C][C]-2.163[/C][C]0.01691[/C][/ROW]
[ROW][C]58[/C][C]-0.245459[/C][C]-2.0972[/C][C]0.01972[/C][/ROW]
[ROW][C]59[/C][C]-0.251751[/C][C]-2.151[/C][C]0.017395[/C][/ROW]
[ROW][C]60[/C][C]-0.254647[/C][C]-2.1757[/C][C]0.016408[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=41593&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=41593&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
10.8480277.24550
20.7590026.48490
30.6597515.63690
40.5721544.88853e-06
50.5297234.5261.1e-05
60.5139474.39121.9e-05
70.4918014.2023.7e-05
80.4660633.9828e-05
90.4230673.61470.000275
100.4034523.44710.000472
110.3732393.1890.001052
120.3440442.93950.0022
130.3099282.6480.004958
140.2837122.4240.008913
150.2339861.99920.024656
160.2170131.85420.033878
170.1691321.44510.07636
180.1505431.28620.101212
190.1389221.1870.119547
200.1042990.89110.187893
210.0625670.53460.297284
220.0437990.37420.354662
23-0.003854-0.03290.486911
24-0.021445-0.18320.427564
25-0.036485-0.31170.378068
26-0.038366-0.32780.372
27-0.058266-0.49780.310051
28-0.0705-0.60240.274403
29-0.08331-0.71180.239429
30-0.088642-0.75740.225638
31-0.08611-0.73570.232127
32-0.081235-0.69410.244921
33-0.091833-0.78460.217608
34-0.109527-0.93580.176231
35-0.140298-1.19870.11726
36-0.151945-1.29820.09915
37-0.171697-1.4670.073338
38-0.166721-1.42450.079287
39-0.170483-1.45660.074757
40-0.174152-1.4880.070535
41-0.185509-1.5850.058645
42-0.195749-1.67250.049356
43-0.213609-1.82510.03604
44-0.222024-1.8970.030894
45-0.231604-1.97880.025804
46-0.235125-2.00890.024123
47-0.267535-2.28580.012585
48-0.272933-2.33190.011233
49-0.282234-2.41140.009204
50-0.273498-2.33680.011099
51-0.24972-2.13360.018118
52-0.236046-2.01680.023699
53-0.247243-2.11240.019035
54-0.243342-2.07910.02056
55-0.24971-2.13350.018121
56-0.248553-2.12360.018545
57-0.253155-2.1630.01691
58-0.245459-2.09720.01972
59-0.251751-2.1510.017395
60-0.254647-2.17570.016408







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.8480277.24550
20.1419011.21240.114634
3-0.046891-0.40060.344928
4-0.02246-0.19190.424179
50.1222291.04430.14989
60.1292451.10430.136552
70.0082860.07080.471877
8-0.021374-0.18260.427802
9-0.048712-0.41620.339245
100.0842380.71970.236994
110.0010960.00940.496276
12-0.032139-0.27460.3922
13-0.052417-0.44780.327794
140.0156060.13330.447146
15-0.077089-0.65860.256098
160.0514110.43930.330886
17-0.10486-0.89590.186618
180.0274470.23450.407625
190.0391530.33450.369472
20-0.083343-0.71210.239342
21-0.095215-0.81350.209284
220.0435740.37230.355375
23-0.067284-0.57490.283572
240.0128830.11010.456326
250.0042120.0360.485696
260.0189930.16230.435767
27-0.051653-0.44130.33014
280.0022630.01930.492313
290.0097110.0830.467049
300.0105330.090.464268
310.0571050.48790.31354
32-0.021147-0.18070.428559
33-0.040602-0.34690.364831
34-0.040853-0.34910.364028
35-0.054448-0.46520.321586
360.0239880.2050.419089
37-0.026885-0.22970.409482
38-0.007741-0.06610.473725
39-0.009741-0.08320.466948
40-0.023297-0.1990.421389
41-0.039-0.33320.369962
42-0.017683-0.15110.440162
43-0.029097-0.24860.402182
44-0.032752-0.27980.390198
45-0.020598-0.1760.430395
46-0.00699-0.05970.476269
47-0.125975-1.07630.142663
480.0215920.18450.427072
490.017780.15190.439838
500.0175180.14970.440718
510.0525060.44860.327521
52-0.038447-0.32850.371739
53-0.079236-0.6770.250276
540.0521190.44530.328707
550.0138960.11870.452909
56-0.020639-0.17630.430257
57-0.053018-0.4530.325951
58-0.01004-0.08580.465936
59-0.028164-0.24060.405257
60-0.019859-0.16970.432867

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.848027 & 7.2455 & 0 \tabularnewline
2 & 0.141901 & 1.2124 & 0.114634 \tabularnewline
3 & -0.046891 & -0.4006 & 0.344928 \tabularnewline
4 & -0.02246 & -0.1919 & 0.424179 \tabularnewline
5 & 0.122229 & 1.0443 & 0.14989 \tabularnewline
6 & 0.129245 & 1.1043 & 0.136552 \tabularnewline
7 & 0.008286 & 0.0708 & 0.471877 \tabularnewline
8 & -0.021374 & -0.1826 & 0.427802 \tabularnewline
9 & -0.048712 & -0.4162 & 0.339245 \tabularnewline
10 & 0.084238 & 0.7197 & 0.236994 \tabularnewline
11 & 0.001096 & 0.0094 & 0.496276 \tabularnewline
12 & -0.032139 & -0.2746 & 0.3922 \tabularnewline
13 & -0.052417 & -0.4478 & 0.327794 \tabularnewline
14 & 0.015606 & 0.1333 & 0.447146 \tabularnewline
15 & -0.077089 & -0.6586 & 0.256098 \tabularnewline
16 & 0.051411 & 0.4393 & 0.330886 \tabularnewline
17 & -0.10486 & -0.8959 & 0.186618 \tabularnewline
18 & 0.027447 & 0.2345 & 0.407625 \tabularnewline
19 & 0.039153 & 0.3345 & 0.369472 \tabularnewline
20 & -0.083343 & -0.7121 & 0.239342 \tabularnewline
21 & -0.095215 & -0.8135 & 0.209284 \tabularnewline
22 & 0.043574 & 0.3723 & 0.355375 \tabularnewline
23 & -0.067284 & -0.5749 & 0.283572 \tabularnewline
24 & 0.012883 & 0.1101 & 0.456326 \tabularnewline
25 & 0.004212 & 0.036 & 0.485696 \tabularnewline
26 & 0.018993 & 0.1623 & 0.435767 \tabularnewline
27 & -0.051653 & -0.4413 & 0.33014 \tabularnewline
28 & 0.002263 & 0.0193 & 0.492313 \tabularnewline
29 & 0.009711 & 0.083 & 0.467049 \tabularnewline
30 & 0.010533 & 0.09 & 0.464268 \tabularnewline
31 & 0.057105 & 0.4879 & 0.31354 \tabularnewline
32 & -0.021147 & -0.1807 & 0.428559 \tabularnewline
33 & -0.040602 & -0.3469 & 0.364831 \tabularnewline
34 & -0.040853 & -0.3491 & 0.364028 \tabularnewline
35 & -0.054448 & -0.4652 & 0.321586 \tabularnewline
36 & 0.023988 & 0.205 & 0.419089 \tabularnewline
37 & -0.026885 & -0.2297 & 0.409482 \tabularnewline
38 & -0.007741 & -0.0661 & 0.473725 \tabularnewline
39 & -0.009741 & -0.0832 & 0.466948 \tabularnewline
40 & -0.023297 & -0.199 & 0.421389 \tabularnewline
41 & -0.039 & -0.3332 & 0.369962 \tabularnewline
42 & -0.017683 & -0.1511 & 0.440162 \tabularnewline
43 & -0.029097 & -0.2486 & 0.402182 \tabularnewline
44 & -0.032752 & -0.2798 & 0.390198 \tabularnewline
45 & -0.020598 & -0.176 & 0.430395 \tabularnewline
46 & -0.00699 & -0.0597 & 0.476269 \tabularnewline
47 & -0.125975 & -1.0763 & 0.142663 \tabularnewline
48 & 0.021592 & 0.1845 & 0.427072 \tabularnewline
49 & 0.01778 & 0.1519 & 0.439838 \tabularnewline
50 & 0.017518 & 0.1497 & 0.440718 \tabularnewline
51 & 0.052506 & 0.4486 & 0.327521 \tabularnewline
52 & -0.038447 & -0.3285 & 0.371739 \tabularnewline
53 & -0.079236 & -0.677 & 0.250276 \tabularnewline
54 & 0.052119 & 0.4453 & 0.328707 \tabularnewline
55 & 0.013896 & 0.1187 & 0.452909 \tabularnewline
56 & -0.020639 & -0.1763 & 0.430257 \tabularnewline
57 & -0.053018 & -0.453 & 0.325951 \tabularnewline
58 & -0.01004 & -0.0858 & 0.465936 \tabularnewline
59 & -0.028164 & -0.2406 & 0.405257 \tabularnewline
60 & -0.019859 & -0.1697 & 0.432867 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=41593&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]0.848027[/C][C]7.2455[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.141901[/C][C]1.2124[/C][C]0.114634[/C][/ROW]
[ROW][C]3[/C][C]-0.046891[/C][C]-0.4006[/C][C]0.344928[/C][/ROW]
[ROW][C]4[/C][C]-0.02246[/C][C]-0.1919[/C][C]0.424179[/C][/ROW]
[ROW][C]5[/C][C]0.122229[/C][C]1.0443[/C][C]0.14989[/C][/ROW]
[ROW][C]6[/C][C]0.129245[/C][C]1.1043[/C][C]0.136552[/C][/ROW]
[ROW][C]7[/C][C]0.008286[/C][C]0.0708[/C][C]0.471877[/C][/ROW]
[ROW][C]8[/C][C]-0.021374[/C][C]-0.1826[/C][C]0.427802[/C][/ROW]
[ROW][C]9[/C][C]-0.048712[/C][C]-0.4162[/C][C]0.339245[/C][/ROW]
[ROW][C]10[/C][C]0.084238[/C][C]0.7197[/C][C]0.236994[/C][/ROW]
[ROW][C]11[/C][C]0.001096[/C][C]0.0094[/C][C]0.496276[/C][/ROW]
[ROW][C]12[/C][C]-0.032139[/C][C]-0.2746[/C][C]0.3922[/C][/ROW]
[ROW][C]13[/C][C]-0.052417[/C][C]-0.4478[/C][C]0.327794[/C][/ROW]
[ROW][C]14[/C][C]0.015606[/C][C]0.1333[/C][C]0.447146[/C][/ROW]
[ROW][C]15[/C][C]-0.077089[/C][C]-0.6586[/C][C]0.256098[/C][/ROW]
[ROW][C]16[/C][C]0.051411[/C][C]0.4393[/C][C]0.330886[/C][/ROW]
[ROW][C]17[/C][C]-0.10486[/C][C]-0.8959[/C][C]0.186618[/C][/ROW]
[ROW][C]18[/C][C]0.027447[/C][C]0.2345[/C][C]0.407625[/C][/ROW]
[ROW][C]19[/C][C]0.039153[/C][C]0.3345[/C][C]0.369472[/C][/ROW]
[ROW][C]20[/C][C]-0.083343[/C][C]-0.7121[/C][C]0.239342[/C][/ROW]
[ROW][C]21[/C][C]-0.095215[/C][C]-0.8135[/C][C]0.209284[/C][/ROW]
[ROW][C]22[/C][C]0.043574[/C][C]0.3723[/C][C]0.355375[/C][/ROW]
[ROW][C]23[/C][C]-0.067284[/C][C]-0.5749[/C][C]0.283572[/C][/ROW]
[ROW][C]24[/C][C]0.012883[/C][C]0.1101[/C][C]0.456326[/C][/ROW]
[ROW][C]25[/C][C]0.004212[/C][C]0.036[/C][C]0.485696[/C][/ROW]
[ROW][C]26[/C][C]0.018993[/C][C]0.1623[/C][C]0.435767[/C][/ROW]
[ROW][C]27[/C][C]-0.051653[/C][C]-0.4413[/C][C]0.33014[/C][/ROW]
[ROW][C]28[/C][C]0.002263[/C][C]0.0193[/C][C]0.492313[/C][/ROW]
[ROW][C]29[/C][C]0.009711[/C][C]0.083[/C][C]0.467049[/C][/ROW]
[ROW][C]30[/C][C]0.010533[/C][C]0.09[/C][C]0.464268[/C][/ROW]
[ROW][C]31[/C][C]0.057105[/C][C]0.4879[/C][C]0.31354[/C][/ROW]
[ROW][C]32[/C][C]-0.021147[/C][C]-0.1807[/C][C]0.428559[/C][/ROW]
[ROW][C]33[/C][C]-0.040602[/C][C]-0.3469[/C][C]0.364831[/C][/ROW]
[ROW][C]34[/C][C]-0.040853[/C][C]-0.3491[/C][C]0.364028[/C][/ROW]
[ROW][C]35[/C][C]-0.054448[/C][C]-0.4652[/C][C]0.321586[/C][/ROW]
[ROW][C]36[/C][C]0.023988[/C][C]0.205[/C][C]0.419089[/C][/ROW]
[ROW][C]37[/C][C]-0.026885[/C][C]-0.2297[/C][C]0.409482[/C][/ROW]
[ROW][C]38[/C][C]-0.007741[/C][C]-0.0661[/C][C]0.473725[/C][/ROW]
[ROW][C]39[/C][C]-0.009741[/C][C]-0.0832[/C][C]0.466948[/C][/ROW]
[ROW][C]40[/C][C]-0.023297[/C][C]-0.199[/C][C]0.421389[/C][/ROW]
[ROW][C]41[/C][C]-0.039[/C][C]-0.3332[/C][C]0.369962[/C][/ROW]
[ROW][C]42[/C][C]-0.017683[/C][C]-0.1511[/C][C]0.440162[/C][/ROW]
[ROW][C]43[/C][C]-0.029097[/C][C]-0.2486[/C][C]0.402182[/C][/ROW]
[ROW][C]44[/C][C]-0.032752[/C][C]-0.2798[/C][C]0.390198[/C][/ROW]
[ROW][C]45[/C][C]-0.020598[/C][C]-0.176[/C][C]0.430395[/C][/ROW]
[ROW][C]46[/C][C]-0.00699[/C][C]-0.0597[/C][C]0.476269[/C][/ROW]
[ROW][C]47[/C][C]-0.125975[/C][C]-1.0763[/C][C]0.142663[/C][/ROW]
[ROW][C]48[/C][C]0.021592[/C][C]0.1845[/C][C]0.427072[/C][/ROW]
[ROW][C]49[/C][C]0.01778[/C][C]0.1519[/C][C]0.439838[/C][/ROW]
[ROW][C]50[/C][C]0.017518[/C][C]0.1497[/C][C]0.440718[/C][/ROW]
[ROW][C]51[/C][C]0.052506[/C][C]0.4486[/C][C]0.327521[/C][/ROW]
[ROW][C]52[/C][C]-0.038447[/C][C]-0.3285[/C][C]0.371739[/C][/ROW]
[ROW][C]53[/C][C]-0.079236[/C][C]-0.677[/C][C]0.250276[/C][/ROW]
[ROW][C]54[/C][C]0.052119[/C][C]0.4453[/C][C]0.328707[/C][/ROW]
[ROW][C]55[/C][C]0.013896[/C][C]0.1187[/C][C]0.452909[/C][/ROW]
[ROW][C]56[/C][C]-0.020639[/C][C]-0.1763[/C][C]0.430257[/C][/ROW]
[ROW][C]57[/C][C]-0.053018[/C][C]-0.453[/C][C]0.325951[/C][/ROW]
[ROW][C]58[/C][C]-0.01004[/C][C]-0.0858[/C][C]0.465936[/C][/ROW]
[ROW][C]59[/C][C]-0.028164[/C][C]-0.2406[/C][C]0.405257[/C][/ROW]
[ROW][C]60[/C][C]-0.019859[/C][C]-0.1697[/C][C]0.432867[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=41593&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=41593&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
10.8480277.24550
20.1419011.21240.114634
3-0.046891-0.40060.344928
4-0.02246-0.19190.424179
50.1222291.04430.14989
60.1292451.10430.136552
70.0082860.07080.471877
8-0.021374-0.18260.427802
9-0.048712-0.41620.339245
100.0842380.71970.236994
110.0010960.00940.496276
12-0.032139-0.27460.3922
13-0.052417-0.44780.327794
140.0156060.13330.447146
15-0.077089-0.65860.256098
160.0514110.43930.330886
17-0.10486-0.89590.186618
180.0274470.23450.407625
190.0391530.33450.369472
20-0.083343-0.71210.239342
21-0.095215-0.81350.209284
220.0435740.37230.355375
23-0.067284-0.57490.283572
240.0128830.11010.456326
250.0042120.0360.485696
260.0189930.16230.435767
27-0.051653-0.44130.33014
280.0022630.01930.492313
290.0097110.0830.467049
300.0105330.090.464268
310.0571050.48790.31354
32-0.021147-0.18070.428559
33-0.040602-0.34690.364831
34-0.040853-0.34910.364028
35-0.054448-0.46520.321586
360.0239880.2050.419089
37-0.026885-0.22970.409482
38-0.007741-0.06610.473725
39-0.009741-0.08320.466948
40-0.023297-0.1990.421389
41-0.039-0.33320.369962
42-0.017683-0.15110.440162
43-0.029097-0.24860.402182
44-0.032752-0.27980.390198
45-0.020598-0.1760.430395
46-0.00699-0.05970.476269
47-0.125975-1.07630.142663
480.0215920.18450.427072
490.017780.15190.439838
500.0175180.14970.440718
510.0525060.44860.327521
52-0.038447-0.32850.371739
53-0.079236-0.6770.250276
540.0521190.44530.328707
550.0138960.11870.452909
56-0.020639-0.17630.430257
57-0.053018-0.4530.325951
58-0.01004-0.08580.465936
59-0.028164-0.24060.405257
60-0.019859-0.16970.432867



Parameters (Session):
par1 = 60 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ;
Parameters (R input):
par1 = 60 ; 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')