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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 computationFri, 19 Dec 2008 08:28:36 -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/19/t12297005571lasvvoft4v8hl6.htm/, Retrieved Wed, 15 May 2024 10:22:55 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=35187, Retrieved Wed, 15 May 2024 10:22:55 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact203
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [data set] [2008-12-01 19:54:57] [b98453cac15ba1066b407e146608df68]
F RMP   [(Partial) Autocorrelation Function] [Taak 10 Stap 4] [2008-12-03 16:24:10] [6fea0e9a9b3b29a63badf2c274e82506]
-   P     [(Partial) Autocorrelation Function] [Identification an...] [2008-12-08 19:12:52] [79c17183721a40a589db5f9f561947d8]
-   PD        [(Partial) Autocorrelation Function] [(P)ACF elektriciteit] [2008-12-19 15:28:36] [1aceffc2fa350402d9e8f8edd757a2e8] [Current]
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Dataseries X:
97.57
97.74
97.92
98.19
98.23
98.41
98.59
98.71
99.14
99.62
100.18
100.66
101.19
101.75
102.2
102.87
98.81
97.6
96.68
95.96
98.89
99.05
99.2
99.11
99.19
99.77
100.70
100.78
100.53
101.01
100.92
101.10
103.11
102.99
102.31
102.61
103.68
104.72
107.66
108.87
108.12
107.61
106.42
105.61
105.71
105.49
105.57
105.18
106.09
106.34
108.47
116.87
121.08
123.27
124.18
125.60
126.57
127.18
128.04
128.55
129.67




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=35187&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=35187&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35187&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
1-0.292677-2.24810.01416
2-0.121805-0.93560.176646
30.1028530.790.216337
4-0.334099-2.56630.006419
50.1099030.84420.20099
60.0748940.57530.283648
70.0658750.5060.307373
8-0.130284-1.00070.160522
90.0095280.07320.470954
10-0.047679-0.36620.357753
11-0.130967-1.0060.159267
120.2344651.8010.03841
130.0054590.04190.483348
14-0.028546-0.21930.4136
150.0443790.34090.367202
16-0.089148-0.68480.248089
17-0.033453-0.2570.399052
180.0736160.56550.286953
190.1168290.89740.186581
20-0.117142-0.89980.185946
210.0089790.0690.472624
22-0.104416-0.8020.212875
23-0.010146-0.07790.469071
240.0821680.63110.265192
25-0.008995-0.06910.472576
260.0896790.68880.246812
27-0.058063-0.4460.328618
28-0.007637-0.05870.47671
29-0.029966-0.23020.409375
30-0.076485-0.58750.279558
310.2905282.23160.014727
32-0.145292-1.1160.134471
330.0422650.32460.373298
34-0.012848-0.09870.460861
35-0.242814-1.86510.033572
360.1189410.91360.182321
370.0115860.0890.464694
380.051160.3930.347881
39-0.032757-0.25160.401109
400.0145410.11170.455724
410.0150210.11540.454268
42-0.004791-0.03680.485383
430.0272160.2090.417565
44-0.029617-0.22750.410415
450.0030370.02330.490734
460.0002990.00230.499087
47-0.011986-0.09210.463478
480.0090450.06950.472424
49-0.001275-0.00980.49611
500.001370.01050.495821
51-0.002016-0.01550.493848
520.0014070.01080.495706
530.0002260.00170.49931
54-0.000672-0.00520.497951
550.0008550.00660.49739
56-0.000777-0.0060.49763
570.0002180.00170.499335
581e-051e-040.499969
59NANANA
60NANANA

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & -0.292677 & -2.2481 & 0.01416 \tabularnewline
2 & -0.121805 & -0.9356 & 0.176646 \tabularnewline
3 & 0.102853 & 0.79 & 0.216337 \tabularnewline
4 & -0.334099 & -2.5663 & 0.006419 \tabularnewline
5 & 0.109903 & 0.8442 & 0.20099 \tabularnewline
6 & 0.074894 & 0.5753 & 0.283648 \tabularnewline
7 & 0.065875 & 0.506 & 0.307373 \tabularnewline
8 & -0.130284 & -1.0007 & 0.160522 \tabularnewline
9 & 0.009528 & 0.0732 & 0.470954 \tabularnewline
10 & -0.047679 & -0.3662 & 0.357753 \tabularnewline
11 & -0.130967 & -1.006 & 0.159267 \tabularnewline
12 & 0.234465 & 1.801 & 0.03841 \tabularnewline
13 & 0.005459 & 0.0419 & 0.483348 \tabularnewline
14 & -0.028546 & -0.2193 & 0.4136 \tabularnewline
15 & 0.044379 & 0.3409 & 0.367202 \tabularnewline
16 & -0.089148 & -0.6848 & 0.248089 \tabularnewline
17 & -0.033453 & -0.257 & 0.399052 \tabularnewline
18 & 0.073616 & 0.5655 & 0.286953 \tabularnewline
19 & 0.116829 & 0.8974 & 0.186581 \tabularnewline
20 & -0.117142 & -0.8998 & 0.185946 \tabularnewline
21 & 0.008979 & 0.069 & 0.472624 \tabularnewline
22 & -0.104416 & -0.802 & 0.212875 \tabularnewline
23 & -0.010146 & -0.0779 & 0.469071 \tabularnewline
24 & 0.082168 & 0.6311 & 0.265192 \tabularnewline
25 & -0.008995 & -0.0691 & 0.472576 \tabularnewline
26 & 0.089679 & 0.6888 & 0.246812 \tabularnewline
27 & -0.058063 & -0.446 & 0.328618 \tabularnewline
28 & -0.007637 & -0.0587 & 0.47671 \tabularnewline
29 & -0.029966 & -0.2302 & 0.409375 \tabularnewline
30 & -0.076485 & -0.5875 & 0.279558 \tabularnewline
31 & 0.290528 & 2.2316 & 0.014727 \tabularnewline
32 & -0.145292 & -1.116 & 0.134471 \tabularnewline
33 & 0.042265 & 0.3246 & 0.373298 \tabularnewline
34 & -0.012848 & -0.0987 & 0.460861 \tabularnewline
35 & -0.242814 & -1.8651 & 0.033572 \tabularnewline
36 & 0.118941 & 0.9136 & 0.182321 \tabularnewline
37 & 0.011586 & 0.089 & 0.464694 \tabularnewline
38 & 0.05116 & 0.393 & 0.347881 \tabularnewline
39 & -0.032757 & -0.2516 & 0.401109 \tabularnewline
40 & 0.014541 & 0.1117 & 0.455724 \tabularnewline
41 & 0.015021 & 0.1154 & 0.454268 \tabularnewline
42 & -0.004791 & -0.0368 & 0.485383 \tabularnewline
43 & 0.027216 & 0.209 & 0.417565 \tabularnewline
44 & -0.029617 & -0.2275 & 0.410415 \tabularnewline
45 & 0.003037 & 0.0233 & 0.490734 \tabularnewline
46 & 0.000299 & 0.0023 & 0.499087 \tabularnewline
47 & -0.011986 & -0.0921 & 0.463478 \tabularnewline
48 & 0.009045 & 0.0695 & 0.472424 \tabularnewline
49 & -0.001275 & -0.0098 & 0.49611 \tabularnewline
50 & 0.00137 & 0.0105 & 0.495821 \tabularnewline
51 & -0.002016 & -0.0155 & 0.493848 \tabularnewline
52 & 0.001407 & 0.0108 & 0.495706 \tabularnewline
53 & 0.000226 & 0.0017 & 0.49931 \tabularnewline
54 & -0.000672 & -0.0052 & 0.497951 \tabularnewline
55 & 0.000855 & 0.0066 & 0.49739 \tabularnewline
56 & -0.000777 & -0.006 & 0.49763 \tabularnewline
57 & 0.000218 & 0.0017 & 0.499335 \tabularnewline
58 & 1e-05 & 1e-04 & 0.499969 \tabularnewline
59 & NA & NA & NA \tabularnewline
60 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=35187&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]-0.292677[/C][C]-2.2481[/C][C]0.01416[/C][/ROW]
[ROW][C]2[/C][C]-0.121805[/C][C]-0.9356[/C][C]0.176646[/C][/ROW]
[ROW][C]3[/C][C]0.102853[/C][C]0.79[/C][C]0.216337[/C][/ROW]
[ROW][C]4[/C][C]-0.334099[/C][C]-2.5663[/C][C]0.006419[/C][/ROW]
[ROW][C]5[/C][C]0.109903[/C][C]0.8442[/C][C]0.20099[/C][/ROW]
[ROW][C]6[/C][C]0.074894[/C][C]0.5753[/C][C]0.283648[/C][/ROW]
[ROW][C]7[/C][C]0.065875[/C][C]0.506[/C][C]0.307373[/C][/ROW]
[ROW][C]8[/C][C]-0.130284[/C][C]-1.0007[/C][C]0.160522[/C][/ROW]
[ROW][C]9[/C][C]0.009528[/C][C]0.0732[/C][C]0.470954[/C][/ROW]
[ROW][C]10[/C][C]-0.047679[/C][C]-0.3662[/C][C]0.357753[/C][/ROW]
[ROW][C]11[/C][C]-0.130967[/C][C]-1.006[/C][C]0.159267[/C][/ROW]
[ROW][C]12[/C][C]0.234465[/C][C]1.801[/C][C]0.03841[/C][/ROW]
[ROW][C]13[/C][C]0.005459[/C][C]0.0419[/C][C]0.483348[/C][/ROW]
[ROW][C]14[/C][C]-0.028546[/C][C]-0.2193[/C][C]0.4136[/C][/ROW]
[ROW][C]15[/C][C]0.044379[/C][C]0.3409[/C][C]0.367202[/C][/ROW]
[ROW][C]16[/C][C]-0.089148[/C][C]-0.6848[/C][C]0.248089[/C][/ROW]
[ROW][C]17[/C][C]-0.033453[/C][C]-0.257[/C][C]0.399052[/C][/ROW]
[ROW][C]18[/C][C]0.073616[/C][C]0.5655[/C][C]0.286953[/C][/ROW]
[ROW][C]19[/C][C]0.116829[/C][C]0.8974[/C][C]0.186581[/C][/ROW]
[ROW][C]20[/C][C]-0.117142[/C][C]-0.8998[/C][C]0.185946[/C][/ROW]
[ROW][C]21[/C][C]0.008979[/C][C]0.069[/C][C]0.472624[/C][/ROW]
[ROW][C]22[/C][C]-0.104416[/C][C]-0.802[/C][C]0.212875[/C][/ROW]
[ROW][C]23[/C][C]-0.010146[/C][C]-0.0779[/C][C]0.469071[/C][/ROW]
[ROW][C]24[/C][C]0.082168[/C][C]0.6311[/C][C]0.265192[/C][/ROW]
[ROW][C]25[/C][C]-0.008995[/C][C]-0.0691[/C][C]0.472576[/C][/ROW]
[ROW][C]26[/C][C]0.089679[/C][C]0.6888[/C][C]0.246812[/C][/ROW]
[ROW][C]27[/C][C]-0.058063[/C][C]-0.446[/C][C]0.328618[/C][/ROW]
[ROW][C]28[/C][C]-0.007637[/C][C]-0.0587[/C][C]0.47671[/C][/ROW]
[ROW][C]29[/C][C]-0.029966[/C][C]-0.2302[/C][C]0.409375[/C][/ROW]
[ROW][C]30[/C][C]-0.076485[/C][C]-0.5875[/C][C]0.279558[/C][/ROW]
[ROW][C]31[/C][C]0.290528[/C][C]2.2316[/C][C]0.014727[/C][/ROW]
[ROW][C]32[/C][C]-0.145292[/C][C]-1.116[/C][C]0.134471[/C][/ROW]
[ROW][C]33[/C][C]0.042265[/C][C]0.3246[/C][C]0.373298[/C][/ROW]
[ROW][C]34[/C][C]-0.012848[/C][C]-0.0987[/C][C]0.460861[/C][/ROW]
[ROW][C]35[/C][C]-0.242814[/C][C]-1.8651[/C][C]0.033572[/C][/ROW]
[ROW][C]36[/C][C]0.118941[/C][C]0.9136[/C][C]0.182321[/C][/ROW]
[ROW][C]37[/C][C]0.011586[/C][C]0.089[/C][C]0.464694[/C][/ROW]
[ROW][C]38[/C][C]0.05116[/C][C]0.393[/C][C]0.347881[/C][/ROW]
[ROW][C]39[/C][C]-0.032757[/C][C]-0.2516[/C][C]0.401109[/C][/ROW]
[ROW][C]40[/C][C]0.014541[/C][C]0.1117[/C][C]0.455724[/C][/ROW]
[ROW][C]41[/C][C]0.015021[/C][C]0.1154[/C][C]0.454268[/C][/ROW]
[ROW][C]42[/C][C]-0.004791[/C][C]-0.0368[/C][C]0.485383[/C][/ROW]
[ROW][C]43[/C][C]0.027216[/C][C]0.209[/C][C]0.417565[/C][/ROW]
[ROW][C]44[/C][C]-0.029617[/C][C]-0.2275[/C][C]0.410415[/C][/ROW]
[ROW][C]45[/C][C]0.003037[/C][C]0.0233[/C][C]0.490734[/C][/ROW]
[ROW][C]46[/C][C]0.000299[/C][C]0.0023[/C][C]0.499087[/C][/ROW]
[ROW][C]47[/C][C]-0.011986[/C][C]-0.0921[/C][C]0.463478[/C][/ROW]
[ROW][C]48[/C][C]0.009045[/C][C]0.0695[/C][C]0.472424[/C][/ROW]
[ROW][C]49[/C][C]-0.001275[/C][C]-0.0098[/C][C]0.49611[/C][/ROW]
[ROW][C]50[/C][C]0.00137[/C][C]0.0105[/C][C]0.495821[/C][/ROW]
[ROW][C]51[/C][C]-0.002016[/C][C]-0.0155[/C][C]0.493848[/C][/ROW]
[ROW][C]52[/C][C]0.001407[/C][C]0.0108[/C][C]0.495706[/C][/ROW]
[ROW][C]53[/C][C]0.000226[/C][C]0.0017[/C][C]0.49931[/C][/ROW]
[ROW][C]54[/C][C]-0.000672[/C][C]-0.0052[/C][C]0.497951[/C][/ROW]
[ROW][C]55[/C][C]0.000855[/C][C]0.0066[/C][C]0.49739[/C][/ROW]
[ROW][C]56[/C][C]-0.000777[/C][C]-0.006[/C][C]0.49763[/C][/ROW]
[ROW][C]57[/C][C]0.000218[/C][C]0.0017[/C][C]0.499335[/C][/ROW]
[ROW][C]58[/C][C]1e-05[/C][C]1e-04[/C][C]0.499969[/C][/ROW]
[ROW][C]59[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]60[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=35187&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35187&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
1-0.292677-2.24810.01416
2-0.121805-0.93560.176646
30.1028530.790.216337
4-0.334099-2.56630.006419
50.1099030.84420.20099
60.0748940.57530.283648
70.0658750.5060.307373
8-0.130284-1.00070.160522
90.0095280.07320.470954
10-0.047679-0.36620.357753
11-0.130967-1.0060.159267
120.2344651.8010.03841
130.0054590.04190.483348
14-0.028546-0.21930.4136
150.0443790.34090.367202
16-0.089148-0.68480.248089
17-0.033453-0.2570.399052
180.0736160.56550.286953
190.1168290.89740.186581
20-0.117142-0.89980.185946
210.0089790.0690.472624
22-0.104416-0.8020.212875
23-0.010146-0.07790.469071
240.0821680.63110.265192
25-0.008995-0.06910.472576
260.0896790.68880.246812
27-0.058063-0.4460.328618
28-0.007637-0.05870.47671
29-0.029966-0.23020.409375
30-0.076485-0.58750.279558
310.2905282.23160.014727
32-0.145292-1.1160.134471
330.0422650.32460.373298
34-0.012848-0.09870.460861
35-0.242814-1.86510.033572
360.1189410.91360.182321
370.0115860.0890.464694
380.051160.3930.347881
39-0.032757-0.25160.401109
400.0145410.11170.455724
410.0150210.11540.454268
42-0.004791-0.03680.485383
430.0272160.2090.417565
44-0.029617-0.22750.410415
450.0030370.02330.490734
460.0002990.00230.499087
47-0.011986-0.09210.463478
480.0090450.06950.472424
49-0.001275-0.00980.49611
500.001370.01050.495821
51-0.002016-0.01550.493848
520.0014070.01080.495706
530.0002260.00170.49931
54-0.000672-0.00520.497951
550.0008550.00660.49739
56-0.000777-0.0060.49763
570.0002180.00170.499335
581e-051e-040.499969
59NANANA
60NANANA







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
1-0.292677-2.24810.01416
2-0.226901-1.74290.043284
3-0.00841-0.06460.474355
4-0.377577-2.90020.002616
5-0.144335-1.10870.136038
6-0.091944-0.70620.24141
70.0948280.72840.234629
8-0.235146-1.80620.037995
9-0.090072-0.69190.24587
10-0.174706-1.34190.092378
11-0.231821-1.78070.040059
12-0.099371-0.76330.224168
13-0.053758-0.41290.340579
14-0.086735-0.66620.253932
15-0.088888-0.68280.248715
16-0.078324-0.60160.274866
17-0.114132-0.87670.192112
18-0.063775-0.48990.313024
190.0673960.51770.303309
20-0.059572-0.45760.324468
21-0.041986-0.32250.374106
22-0.184063-1.41380.081335
23-0.012161-0.09340.462946
24-0.105229-0.80830.211088
25-0.101259-0.77780.219903
26-0.059002-0.45320.326033
27-0.037638-0.28910.386758
28-0.050586-0.38860.349501
29-0.068866-0.5290.299406
30-0.199558-1.53280.065331
310.1862711.43080.078885
32-0.048558-0.3730.35525
330.1261880.96930.168183
340.0148130.11380.4549
35-0.002667-0.02050.491864
36-0.058619-0.45030.327087
370.0281690.21640.414722
38-0.041989-0.32250.374097
39-0.065159-0.50050.309293
40-0.062189-0.47770.317321
410.078140.60020.275334
420.1117820.85860.197015
43-0.061873-0.47530.318181
44-0.047412-0.36420.358512
45-0.05044-0.38740.349914
46-0.081383-0.62510.267153
47-0.041902-0.32190.374349
48-0.013683-0.10510.458326
49-0.022723-0.17450.43102
50-0.109974-0.84470.200838
510.0039610.03040.487916
52-0.059165-0.45450.325584
530.0667490.51270.305036
54-0.073731-0.56630.286655
550.0163350.12550.450288
56-0.066457-0.51050.305815
57-0.064421-0.49480.311281
58-0.039971-0.3070.379953
59NANANA
60NANANA

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & -0.292677 & -2.2481 & 0.01416 \tabularnewline
2 & -0.226901 & -1.7429 & 0.043284 \tabularnewline
3 & -0.00841 & -0.0646 & 0.474355 \tabularnewline
4 & -0.377577 & -2.9002 & 0.002616 \tabularnewline
5 & -0.144335 & -1.1087 & 0.136038 \tabularnewline
6 & -0.091944 & -0.7062 & 0.24141 \tabularnewline
7 & 0.094828 & 0.7284 & 0.234629 \tabularnewline
8 & -0.235146 & -1.8062 & 0.037995 \tabularnewline
9 & -0.090072 & -0.6919 & 0.24587 \tabularnewline
10 & -0.174706 & -1.3419 & 0.092378 \tabularnewline
11 & -0.231821 & -1.7807 & 0.040059 \tabularnewline
12 & -0.099371 & -0.7633 & 0.224168 \tabularnewline
13 & -0.053758 & -0.4129 & 0.340579 \tabularnewline
14 & -0.086735 & -0.6662 & 0.253932 \tabularnewline
15 & -0.088888 & -0.6828 & 0.248715 \tabularnewline
16 & -0.078324 & -0.6016 & 0.274866 \tabularnewline
17 & -0.114132 & -0.8767 & 0.192112 \tabularnewline
18 & -0.063775 & -0.4899 & 0.313024 \tabularnewline
19 & 0.067396 & 0.5177 & 0.303309 \tabularnewline
20 & -0.059572 & -0.4576 & 0.324468 \tabularnewline
21 & -0.041986 & -0.3225 & 0.374106 \tabularnewline
22 & -0.184063 & -1.4138 & 0.081335 \tabularnewline
23 & -0.012161 & -0.0934 & 0.462946 \tabularnewline
24 & -0.105229 & -0.8083 & 0.211088 \tabularnewline
25 & -0.101259 & -0.7778 & 0.219903 \tabularnewline
26 & -0.059002 & -0.4532 & 0.326033 \tabularnewline
27 & -0.037638 & -0.2891 & 0.386758 \tabularnewline
28 & -0.050586 & -0.3886 & 0.349501 \tabularnewline
29 & -0.068866 & -0.529 & 0.299406 \tabularnewline
30 & -0.199558 & -1.5328 & 0.065331 \tabularnewline
31 & 0.186271 & 1.4308 & 0.078885 \tabularnewline
32 & -0.048558 & -0.373 & 0.35525 \tabularnewline
33 & 0.126188 & 0.9693 & 0.168183 \tabularnewline
34 & 0.014813 & 0.1138 & 0.4549 \tabularnewline
35 & -0.002667 & -0.0205 & 0.491864 \tabularnewline
36 & -0.058619 & -0.4503 & 0.327087 \tabularnewline
37 & 0.028169 & 0.2164 & 0.414722 \tabularnewline
38 & -0.041989 & -0.3225 & 0.374097 \tabularnewline
39 & -0.065159 & -0.5005 & 0.309293 \tabularnewline
40 & -0.062189 & -0.4777 & 0.317321 \tabularnewline
41 & 0.07814 & 0.6002 & 0.275334 \tabularnewline
42 & 0.111782 & 0.8586 & 0.197015 \tabularnewline
43 & -0.061873 & -0.4753 & 0.318181 \tabularnewline
44 & -0.047412 & -0.3642 & 0.358512 \tabularnewline
45 & -0.05044 & -0.3874 & 0.349914 \tabularnewline
46 & -0.081383 & -0.6251 & 0.267153 \tabularnewline
47 & -0.041902 & -0.3219 & 0.374349 \tabularnewline
48 & -0.013683 & -0.1051 & 0.458326 \tabularnewline
49 & -0.022723 & -0.1745 & 0.43102 \tabularnewline
50 & -0.109974 & -0.8447 & 0.200838 \tabularnewline
51 & 0.003961 & 0.0304 & 0.487916 \tabularnewline
52 & -0.059165 & -0.4545 & 0.325584 \tabularnewline
53 & 0.066749 & 0.5127 & 0.305036 \tabularnewline
54 & -0.073731 & -0.5663 & 0.286655 \tabularnewline
55 & 0.016335 & 0.1255 & 0.450288 \tabularnewline
56 & -0.066457 & -0.5105 & 0.305815 \tabularnewline
57 & -0.064421 & -0.4948 & 0.311281 \tabularnewline
58 & -0.039971 & -0.307 & 0.379953 \tabularnewline
59 & NA & NA & NA \tabularnewline
60 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=35187&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]-0.292677[/C][C]-2.2481[/C][C]0.01416[/C][/ROW]
[ROW][C]2[/C][C]-0.226901[/C][C]-1.7429[/C][C]0.043284[/C][/ROW]
[ROW][C]3[/C][C]-0.00841[/C][C]-0.0646[/C][C]0.474355[/C][/ROW]
[ROW][C]4[/C][C]-0.377577[/C][C]-2.9002[/C][C]0.002616[/C][/ROW]
[ROW][C]5[/C][C]-0.144335[/C][C]-1.1087[/C][C]0.136038[/C][/ROW]
[ROW][C]6[/C][C]-0.091944[/C][C]-0.7062[/C][C]0.24141[/C][/ROW]
[ROW][C]7[/C][C]0.094828[/C][C]0.7284[/C][C]0.234629[/C][/ROW]
[ROW][C]8[/C][C]-0.235146[/C][C]-1.8062[/C][C]0.037995[/C][/ROW]
[ROW][C]9[/C][C]-0.090072[/C][C]-0.6919[/C][C]0.24587[/C][/ROW]
[ROW][C]10[/C][C]-0.174706[/C][C]-1.3419[/C][C]0.092378[/C][/ROW]
[ROW][C]11[/C][C]-0.231821[/C][C]-1.7807[/C][C]0.040059[/C][/ROW]
[ROW][C]12[/C][C]-0.099371[/C][C]-0.7633[/C][C]0.224168[/C][/ROW]
[ROW][C]13[/C][C]-0.053758[/C][C]-0.4129[/C][C]0.340579[/C][/ROW]
[ROW][C]14[/C][C]-0.086735[/C][C]-0.6662[/C][C]0.253932[/C][/ROW]
[ROW][C]15[/C][C]-0.088888[/C][C]-0.6828[/C][C]0.248715[/C][/ROW]
[ROW][C]16[/C][C]-0.078324[/C][C]-0.6016[/C][C]0.274866[/C][/ROW]
[ROW][C]17[/C][C]-0.114132[/C][C]-0.8767[/C][C]0.192112[/C][/ROW]
[ROW][C]18[/C][C]-0.063775[/C][C]-0.4899[/C][C]0.313024[/C][/ROW]
[ROW][C]19[/C][C]0.067396[/C][C]0.5177[/C][C]0.303309[/C][/ROW]
[ROW][C]20[/C][C]-0.059572[/C][C]-0.4576[/C][C]0.324468[/C][/ROW]
[ROW][C]21[/C][C]-0.041986[/C][C]-0.3225[/C][C]0.374106[/C][/ROW]
[ROW][C]22[/C][C]-0.184063[/C][C]-1.4138[/C][C]0.081335[/C][/ROW]
[ROW][C]23[/C][C]-0.012161[/C][C]-0.0934[/C][C]0.462946[/C][/ROW]
[ROW][C]24[/C][C]-0.105229[/C][C]-0.8083[/C][C]0.211088[/C][/ROW]
[ROW][C]25[/C][C]-0.101259[/C][C]-0.7778[/C][C]0.219903[/C][/ROW]
[ROW][C]26[/C][C]-0.059002[/C][C]-0.4532[/C][C]0.326033[/C][/ROW]
[ROW][C]27[/C][C]-0.037638[/C][C]-0.2891[/C][C]0.386758[/C][/ROW]
[ROW][C]28[/C][C]-0.050586[/C][C]-0.3886[/C][C]0.349501[/C][/ROW]
[ROW][C]29[/C][C]-0.068866[/C][C]-0.529[/C][C]0.299406[/C][/ROW]
[ROW][C]30[/C][C]-0.199558[/C][C]-1.5328[/C][C]0.065331[/C][/ROW]
[ROW][C]31[/C][C]0.186271[/C][C]1.4308[/C][C]0.078885[/C][/ROW]
[ROW][C]32[/C][C]-0.048558[/C][C]-0.373[/C][C]0.35525[/C][/ROW]
[ROW][C]33[/C][C]0.126188[/C][C]0.9693[/C][C]0.168183[/C][/ROW]
[ROW][C]34[/C][C]0.014813[/C][C]0.1138[/C][C]0.4549[/C][/ROW]
[ROW][C]35[/C][C]-0.002667[/C][C]-0.0205[/C][C]0.491864[/C][/ROW]
[ROW][C]36[/C][C]-0.058619[/C][C]-0.4503[/C][C]0.327087[/C][/ROW]
[ROW][C]37[/C][C]0.028169[/C][C]0.2164[/C][C]0.414722[/C][/ROW]
[ROW][C]38[/C][C]-0.041989[/C][C]-0.3225[/C][C]0.374097[/C][/ROW]
[ROW][C]39[/C][C]-0.065159[/C][C]-0.5005[/C][C]0.309293[/C][/ROW]
[ROW][C]40[/C][C]-0.062189[/C][C]-0.4777[/C][C]0.317321[/C][/ROW]
[ROW][C]41[/C][C]0.07814[/C][C]0.6002[/C][C]0.275334[/C][/ROW]
[ROW][C]42[/C][C]0.111782[/C][C]0.8586[/C][C]0.197015[/C][/ROW]
[ROW][C]43[/C][C]-0.061873[/C][C]-0.4753[/C][C]0.318181[/C][/ROW]
[ROW][C]44[/C][C]-0.047412[/C][C]-0.3642[/C][C]0.358512[/C][/ROW]
[ROW][C]45[/C][C]-0.05044[/C][C]-0.3874[/C][C]0.349914[/C][/ROW]
[ROW][C]46[/C][C]-0.081383[/C][C]-0.6251[/C][C]0.267153[/C][/ROW]
[ROW][C]47[/C][C]-0.041902[/C][C]-0.3219[/C][C]0.374349[/C][/ROW]
[ROW][C]48[/C][C]-0.013683[/C][C]-0.1051[/C][C]0.458326[/C][/ROW]
[ROW][C]49[/C][C]-0.022723[/C][C]-0.1745[/C][C]0.43102[/C][/ROW]
[ROW][C]50[/C][C]-0.109974[/C][C]-0.8447[/C][C]0.200838[/C][/ROW]
[ROW][C]51[/C][C]0.003961[/C][C]0.0304[/C][C]0.487916[/C][/ROW]
[ROW][C]52[/C][C]-0.059165[/C][C]-0.4545[/C][C]0.325584[/C][/ROW]
[ROW][C]53[/C][C]0.066749[/C][C]0.5127[/C][C]0.305036[/C][/ROW]
[ROW][C]54[/C][C]-0.073731[/C][C]-0.5663[/C][C]0.286655[/C][/ROW]
[ROW][C]55[/C][C]0.016335[/C][C]0.1255[/C][C]0.450288[/C][/ROW]
[ROW][C]56[/C][C]-0.066457[/C][C]-0.5105[/C][C]0.305815[/C][/ROW]
[ROW][C]57[/C][C]-0.064421[/C][C]-0.4948[/C][C]0.311281[/C][/ROW]
[ROW][C]58[/C][C]-0.039971[/C][C]-0.307[/C][C]0.379953[/C][/ROW]
[ROW][C]59[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]60[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=35187&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35187&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
1-0.292677-2.24810.01416
2-0.226901-1.74290.043284
3-0.00841-0.06460.474355
4-0.377577-2.90020.002616
5-0.144335-1.10870.136038
6-0.091944-0.70620.24141
70.0948280.72840.234629
8-0.235146-1.80620.037995
9-0.090072-0.69190.24587
10-0.174706-1.34190.092378
11-0.231821-1.78070.040059
12-0.099371-0.76330.224168
13-0.053758-0.41290.340579
14-0.086735-0.66620.253932
15-0.088888-0.68280.248715
16-0.078324-0.60160.274866
17-0.114132-0.87670.192112
18-0.063775-0.48990.313024
190.0673960.51770.303309
20-0.059572-0.45760.324468
21-0.041986-0.32250.374106
22-0.184063-1.41380.081335
23-0.012161-0.09340.462946
24-0.105229-0.80830.211088
25-0.101259-0.77780.219903
26-0.059002-0.45320.326033
27-0.037638-0.28910.386758
28-0.050586-0.38860.349501
29-0.068866-0.5290.299406
30-0.199558-1.53280.065331
310.1862711.43080.078885
32-0.048558-0.3730.35525
330.1261880.96930.168183
340.0148130.11380.4549
35-0.002667-0.02050.491864
36-0.058619-0.45030.327087
370.0281690.21640.414722
38-0.041989-0.32250.374097
39-0.065159-0.50050.309293
40-0.062189-0.47770.317321
410.078140.60020.275334
420.1117820.85860.197015
43-0.061873-0.47530.318181
44-0.047412-0.36420.358512
45-0.05044-0.38740.349914
46-0.081383-0.62510.267153
47-0.041902-0.32190.374349
48-0.013683-0.10510.458326
49-0.022723-0.17450.43102
50-0.109974-0.84470.200838
510.0039610.03040.487916
52-0.059165-0.45450.325584
530.0667490.51270.305036
54-0.073731-0.56630.286655
550.0163350.12550.450288
56-0.066457-0.51050.305815
57-0.064421-0.49480.311281
58-0.039971-0.3070.379953
59NANANA
60NANANA



Parameters (Session):
par1 = 60 ; par2 = -2.0 ; par3 = 2 ; par4 = 0 ; par5 = 12 ;
Parameters (R input):
par1 = 60 ; par2 = -2.0 ; par3 = 2 ; 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')