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of Irreproducible Research!

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 computationSun, 14 Dec 2008 02:35:53 -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/14/t1229247682iltglbhmx6hudu8.htm/, Retrieved Wed, 15 May 2024 04:34:01 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=33250, Retrieved Wed, 15 May 2024 04:34:01 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordspaper , ACF , d=0 , D=1
Estimated Impact210
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [(Partial) Autocorrelation Function] [loïqueverhasselt] [2008-12-11 14:48:43] [0e879b146665902680dd148a904a2646]
-   P     [(Partial) Autocorrelation Function] [loïqueverhasselt] [2008-12-14 09:35:53] [6440ec5a21e5d35520cb2ae6b4b70e45] [Current]
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Dataseries X:
77.7
78.89
90.2
77.26
80.76
84.93
66.08
71.56
80.78
83.31
85.3
73.94
78.7
81.32
86.8
80.76
84.46
84.21
73.64
70.85
83.78
89.12
78.93
80.54
81.67
82.53
88.2
89.17
83.7
89.79
77.58
70.11
88.07
92.49
83.33
90.05
82.91
88.52
96.42
90.87
86.4
97.47
85.67
79.91
95.73
94.6
91.92
90.38
82.31
87.82
101.29
89.58
87.83
99.95
82.67
84.65
97.83
97.47
97.66
99.14
90.02
100.97
112.48
91.44
108.46
98.41
89.35
92.8
100.43
104.85
108.36
101.54
105.26
101.8
112.36
99.5
104.65
101.13
89.8
87.84
96.41
103.26
100.31
92.33
96.19
96.37
103.06
101.5
101.88
100.85
95.56
87.6
101.18
110.8
101.1
104.42
103.27
100.87
107.8
104.99
100.76
104.46
100.62
87.84
107.31
115.61
103.43
109.93
104.43
106.69
123.1
109.42
101.46
124.48
101.49
100.46
115.51
113.37
115.4
118.2
106.82
110.17
119.91
112.31
110.62
120.37
97.94
103.02
116.36
108.51
122.54
121.32
112.25
109.89
129.58
107.2
118.68
118.25
102.67
104.19
117.74
123.3
122.2
112.71
118.53
115.32
127.36
110.45
122.22
123.39
116.2
109.22
116.98
132.89
125.24
115.68




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=33250&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=33250&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=33250&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
10.0933511.12020.132244
20.2777273.33270.000547
30.4795495.75460
40.0485050.58210.28072
50.2083812.50060.00676
60.2219342.66320.004311
7-0.148979-1.78770.03796
80.1269851.52380.064874
90.0745510.89460.186242
10-0.223468-2.68160.004091
11-0.014039-0.16850.433224
12-0.152249-1.8270.034886
13-0.272943-3.27530.000661
14-0.011703-0.14040.444254
15-0.138474-1.66170.049376
16-0.250069-3.00080.001587
170.0491360.58960.27818
18-0.058663-0.7040.2413
19-0.219959-2.63950.004609
200.0046810.05620.477643
21-0.095266-1.14320.127428
22-0.221135-2.65360.004429
230.0995221.19430.117169
24-0.23732-2.84780.002523
25-0.111046-1.33260.092391
260.1388281.66590.04895
27-0.181186-2.17420.01566
28-0.059617-0.71540.23776
290.0718570.86230.194984
30-0.18433-2.2120.014273
310.0046090.05530.477983
320.089271.07120.142926
33-0.188717-2.26460.012515
340.0489630.58760.278877
350.1331731.59810.05611
36-0.17712-2.12540.017628
370.1033431.24010.108475
380.0164210.19710.422032
39-0.15489-1.85870.032557
400.0677940.81350.208629
410.0022830.02740.489093
42-0.186431-2.23720.013406
430.188172.2580.012723
44-0.047193-0.56630.286029
45-0.090529-1.08630.139571
460.1818252.18190.01537
47-0.093748-1.1250.131235
48-0.068438-0.82130.206427
490.2178752.61450.004943
50-0.170989-2.05190.020997
510.1042211.25070.106545
520.1500451.80050.036934
53-0.074316-0.89180.186996
540.1473951.76870.039527
550.0670650.80480.211136
56-0.078992-0.94790.172382
570.071230.85480.197051
580.0139380.16730.433703
59-0.062386-0.74860.227651
600.1117231.34070.091069

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.093351 & 1.1202 & 0.132244 \tabularnewline
2 & 0.277727 & 3.3327 & 0.000547 \tabularnewline
3 & 0.479549 & 5.7546 & 0 \tabularnewline
4 & 0.048505 & 0.5821 & 0.28072 \tabularnewline
5 & 0.208381 & 2.5006 & 0.00676 \tabularnewline
6 & 0.221934 & 2.6632 & 0.004311 \tabularnewline
7 & -0.148979 & -1.7877 & 0.03796 \tabularnewline
8 & 0.126985 & 1.5238 & 0.064874 \tabularnewline
9 & 0.074551 & 0.8946 & 0.186242 \tabularnewline
10 & -0.223468 & -2.6816 & 0.004091 \tabularnewline
11 & -0.014039 & -0.1685 & 0.433224 \tabularnewline
12 & -0.152249 & -1.827 & 0.034886 \tabularnewline
13 & -0.272943 & -3.2753 & 0.000661 \tabularnewline
14 & -0.011703 & -0.1404 & 0.444254 \tabularnewline
15 & -0.138474 & -1.6617 & 0.049376 \tabularnewline
16 & -0.250069 & -3.0008 & 0.001587 \tabularnewline
17 & 0.049136 & 0.5896 & 0.27818 \tabularnewline
18 & -0.058663 & -0.704 & 0.2413 \tabularnewline
19 & -0.219959 & -2.6395 & 0.004609 \tabularnewline
20 & 0.004681 & 0.0562 & 0.477643 \tabularnewline
21 & -0.095266 & -1.1432 & 0.127428 \tabularnewline
22 & -0.221135 & -2.6536 & 0.004429 \tabularnewline
23 & 0.099522 & 1.1943 & 0.117169 \tabularnewline
24 & -0.23732 & -2.8478 & 0.002523 \tabularnewline
25 & -0.111046 & -1.3326 & 0.092391 \tabularnewline
26 & 0.138828 & 1.6659 & 0.04895 \tabularnewline
27 & -0.181186 & -2.1742 & 0.01566 \tabularnewline
28 & -0.059617 & -0.7154 & 0.23776 \tabularnewline
29 & 0.071857 & 0.8623 & 0.194984 \tabularnewline
30 & -0.18433 & -2.212 & 0.014273 \tabularnewline
31 & 0.004609 & 0.0553 & 0.477983 \tabularnewline
32 & 0.08927 & 1.0712 & 0.142926 \tabularnewline
33 & -0.188717 & -2.2646 & 0.012515 \tabularnewline
34 & 0.048963 & 0.5876 & 0.278877 \tabularnewline
35 & 0.133173 & 1.5981 & 0.05611 \tabularnewline
36 & -0.17712 & -2.1254 & 0.017628 \tabularnewline
37 & 0.103343 & 1.2401 & 0.108475 \tabularnewline
38 & 0.016421 & 0.1971 & 0.422032 \tabularnewline
39 & -0.15489 & -1.8587 & 0.032557 \tabularnewline
40 & 0.067794 & 0.8135 & 0.208629 \tabularnewline
41 & 0.002283 & 0.0274 & 0.489093 \tabularnewline
42 & -0.186431 & -2.2372 & 0.013406 \tabularnewline
43 & 0.18817 & 2.258 & 0.012723 \tabularnewline
44 & -0.047193 & -0.5663 & 0.286029 \tabularnewline
45 & -0.090529 & -1.0863 & 0.139571 \tabularnewline
46 & 0.181825 & 2.1819 & 0.01537 \tabularnewline
47 & -0.093748 & -1.125 & 0.131235 \tabularnewline
48 & -0.068438 & -0.8213 & 0.206427 \tabularnewline
49 & 0.217875 & 2.6145 & 0.004943 \tabularnewline
50 & -0.170989 & -2.0519 & 0.020997 \tabularnewline
51 & 0.104221 & 1.2507 & 0.106545 \tabularnewline
52 & 0.150045 & 1.8005 & 0.036934 \tabularnewline
53 & -0.074316 & -0.8918 & 0.186996 \tabularnewline
54 & 0.147395 & 1.7687 & 0.039527 \tabularnewline
55 & 0.067065 & 0.8048 & 0.211136 \tabularnewline
56 & -0.078992 & -0.9479 & 0.172382 \tabularnewline
57 & 0.07123 & 0.8548 & 0.197051 \tabularnewline
58 & 0.013938 & 0.1673 & 0.433703 \tabularnewline
59 & -0.062386 & -0.7486 & 0.227651 \tabularnewline
60 & 0.111723 & 1.3407 & 0.091069 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=33250&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]0.093351[/C][C]1.1202[/C][C]0.132244[/C][/ROW]
[ROW][C]2[/C][C]0.277727[/C][C]3.3327[/C][C]0.000547[/C][/ROW]
[ROW][C]3[/C][C]0.479549[/C][C]5.7546[/C][C]0[/C][/ROW]
[ROW][C]4[/C][C]0.048505[/C][C]0.5821[/C][C]0.28072[/C][/ROW]
[ROW][C]5[/C][C]0.208381[/C][C]2.5006[/C][C]0.00676[/C][/ROW]
[ROW][C]6[/C][C]0.221934[/C][C]2.6632[/C][C]0.004311[/C][/ROW]
[ROW][C]7[/C][C]-0.148979[/C][C]-1.7877[/C][C]0.03796[/C][/ROW]
[ROW][C]8[/C][C]0.126985[/C][C]1.5238[/C][C]0.064874[/C][/ROW]
[ROW][C]9[/C][C]0.074551[/C][C]0.8946[/C][C]0.186242[/C][/ROW]
[ROW][C]10[/C][C]-0.223468[/C][C]-2.6816[/C][C]0.004091[/C][/ROW]
[ROW][C]11[/C][C]-0.014039[/C][C]-0.1685[/C][C]0.433224[/C][/ROW]
[ROW][C]12[/C][C]-0.152249[/C][C]-1.827[/C][C]0.034886[/C][/ROW]
[ROW][C]13[/C][C]-0.272943[/C][C]-3.2753[/C][C]0.000661[/C][/ROW]
[ROW][C]14[/C][C]-0.011703[/C][C]-0.1404[/C][C]0.444254[/C][/ROW]
[ROW][C]15[/C][C]-0.138474[/C][C]-1.6617[/C][C]0.049376[/C][/ROW]
[ROW][C]16[/C][C]-0.250069[/C][C]-3.0008[/C][C]0.001587[/C][/ROW]
[ROW][C]17[/C][C]0.049136[/C][C]0.5896[/C][C]0.27818[/C][/ROW]
[ROW][C]18[/C][C]-0.058663[/C][C]-0.704[/C][C]0.2413[/C][/ROW]
[ROW][C]19[/C][C]-0.219959[/C][C]-2.6395[/C][C]0.004609[/C][/ROW]
[ROW][C]20[/C][C]0.004681[/C][C]0.0562[/C][C]0.477643[/C][/ROW]
[ROW][C]21[/C][C]-0.095266[/C][C]-1.1432[/C][C]0.127428[/C][/ROW]
[ROW][C]22[/C][C]-0.221135[/C][C]-2.6536[/C][C]0.004429[/C][/ROW]
[ROW][C]23[/C][C]0.099522[/C][C]1.1943[/C][C]0.117169[/C][/ROW]
[ROW][C]24[/C][C]-0.23732[/C][C]-2.8478[/C][C]0.002523[/C][/ROW]
[ROW][C]25[/C][C]-0.111046[/C][C]-1.3326[/C][C]0.092391[/C][/ROW]
[ROW][C]26[/C][C]0.138828[/C][C]1.6659[/C][C]0.04895[/C][/ROW]
[ROW][C]27[/C][C]-0.181186[/C][C]-2.1742[/C][C]0.01566[/C][/ROW]
[ROW][C]28[/C][C]-0.059617[/C][C]-0.7154[/C][C]0.23776[/C][/ROW]
[ROW][C]29[/C][C]0.071857[/C][C]0.8623[/C][C]0.194984[/C][/ROW]
[ROW][C]30[/C][C]-0.18433[/C][C]-2.212[/C][C]0.014273[/C][/ROW]
[ROW][C]31[/C][C]0.004609[/C][C]0.0553[/C][C]0.477983[/C][/ROW]
[ROW][C]32[/C][C]0.08927[/C][C]1.0712[/C][C]0.142926[/C][/ROW]
[ROW][C]33[/C][C]-0.188717[/C][C]-2.2646[/C][C]0.012515[/C][/ROW]
[ROW][C]34[/C][C]0.048963[/C][C]0.5876[/C][C]0.278877[/C][/ROW]
[ROW][C]35[/C][C]0.133173[/C][C]1.5981[/C][C]0.05611[/C][/ROW]
[ROW][C]36[/C][C]-0.17712[/C][C]-2.1254[/C][C]0.017628[/C][/ROW]
[ROW][C]37[/C][C]0.103343[/C][C]1.2401[/C][C]0.108475[/C][/ROW]
[ROW][C]38[/C][C]0.016421[/C][C]0.1971[/C][C]0.422032[/C][/ROW]
[ROW][C]39[/C][C]-0.15489[/C][C]-1.8587[/C][C]0.032557[/C][/ROW]
[ROW][C]40[/C][C]0.067794[/C][C]0.8135[/C][C]0.208629[/C][/ROW]
[ROW][C]41[/C][C]0.002283[/C][C]0.0274[/C][C]0.489093[/C][/ROW]
[ROW][C]42[/C][C]-0.186431[/C][C]-2.2372[/C][C]0.013406[/C][/ROW]
[ROW][C]43[/C][C]0.18817[/C][C]2.258[/C][C]0.012723[/C][/ROW]
[ROW][C]44[/C][C]-0.047193[/C][C]-0.5663[/C][C]0.286029[/C][/ROW]
[ROW][C]45[/C][C]-0.090529[/C][C]-1.0863[/C][C]0.139571[/C][/ROW]
[ROW][C]46[/C][C]0.181825[/C][C]2.1819[/C][C]0.01537[/C][/ROW]
[ROW][C]47[/C][C]-0.093748[/C][C]-1.125[/C][C]0.131235[/C][/ROW]
[ROW][C]48[/C][C]-0.068438[/C][C]-0.8213[/C][C]0.206427[/C][/ROW]
[ROW][C]49[/C][C]0.217875[/C][C]2.6145[/C][C]0.004943[/C][/ROW]
[ROW][C]50[/C][C]-0.170989[/C][C]-2.0519[/C][C]0.020997[/C][/ROW]
[ROW][C]51[/C][C]0.104221[/C][C]1.2507[/C][C]0.106545[/C][/ROW]
[ROW][C]52[/C][C]0.150045[/C][C]1.8005[/C][C]0.036934[/C][/ROW]
[ROW][C]53[/C][C]-0.074316[/C][C]-0.8918[/C][C]0.186996[/C][/ROW]
[ROW][C]54[/C][C]0.147395[/C][C]1.7687[/C][C]0.039527[/C][/ROW]
[ROW][C]55[/C][C]0.067065[/C][C]0.8048[/C][C]0.211136[/C][/ROW]
[ROW][C]56[/C][C]-0.078992[/C][C]-0.9479[/C][C]0.172382[/C][/ROW]
[ROW][C]57[/C][C]0.07123[/C][C]0.8548[/C][C]0.197051[/C][/ROW]
[ROW][C]58[/C][C]0.013938[/C][C]0.1673[/C][C]0.433703[/C][/ROW]
[ROW][C]59[/C][C]-0.062386[/C][C]-0.7486[/C][C]0.227651[/C][/ROW]
[ROW][C]60[/C][C]0.111723[/C][C]1.3407[/C][C]0.091069[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=33250&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=33250&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
10.0933511.12020.132244
20.2777273.33270.000547
30.4795495.75460
40.0485050.58210.28072
50.2083812.50060.00676
60.2219342.66320.004311
7-0.148979-1.78770.03796
80.1269851.52380.064874
90.0745510.89460.186242
10-0.223468-2.68160.004091
11-0.014039-0.16850.433224
12-0.152249-1.8270.034886
13-0.272943-3.27530.000661
14-0.011703-0.14040.444254
15-0.138474-1.66170.049376
16-0.250069-3.00080.001587
170.0491360.58960.27818
18-0.058663-0.7040.2413
19-0.219959-2.63950.004609
200.0046810.05620.477643
21-0.095266-1.14320.127428
22-0.221135-2.65360.004429
230.0995221.19430.117169
24-0.23732-2.84780.002523
25-0.111046-1.33260.092391
260.1388281.66590.04895
27-0.181186-2.17420.01566
28-0.059617-0.71540.23776
290.0718570.86230.194984
30-0.18433-2.2120.014273
310.0046090.05530.477983
320.089271.07120.142926
33-0.188717-2.26460.012515
340.0489630.58760.278877
350.1331731.59810.05611
36-0.17712-2.12540.017628
370.1033431.24010.108475
380.0164210.19710.422032
39-0.15489-1.85870.032557
400.0677940.81350.208629
410.0022830.02740.489093
42-0.186431-2.23720.013406
430.188172.2580.012723
44-0.047193-0.56630.286029
45-0.090529-1.08630.139571
460.1818252.18190.01537
47-0.093748-1.1250.131235
48-0.068438-0.82130.206427
490.2178752.61450.004943
50-0.170989-2.05190.020997
510.1042211.25070.106545
520.1500451.80050.036934
53-0.074316-0.89180.186996
540.1473951.76870.039527
550.0670650.80480.211136
56-0.078992-0.94790.172382
570.071230.85480.197051
580.0139380.16730.433703
59-0.062386-0.74860.227651
600.1117231.34070.091069







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.0933511.12020.132244
20.2713773.25650.000703
30.4740655.68880
4-0.046476-0.55770.288953
5-0.051088-0.61310.270404
60.0046210.05550.477927
7-0.258251-3.0990.001168
8-0.033439-0.40130.344407
90.108081.2970.09836
10-0.108521-1.30230.097455
11-0.147509-1.77010.039412
12-0.14499-1.73990.042008
13-0.114831-1.3780.085174
140.0870291.04430.149038
150.1966562.35990.009812
16-0.024237-0.29080.385793
170.0063570.07630.469649
180.0882811.05940.145602
19-0.202081-2.4250.008274
20-0.198723-2.38470.009198
210.0417340.50080.308635
22-0.124026-1.48830.069427
230.0391660.470.319537
24-0.134068-1.60880.054923
25-0.050396-0.60480.273148
260.1370721.64490.051089
270.1030971.23720.10902
28-0.030671-0.36810.356686
29-0.043199-0.51840.30249
30-0.031246-0.37490.354125
31-0.14254-1.71050.044665
32-0.006863-0.08240.467237
33-0.003754-0.0450.482068
34-0.115655-1.38790.083662
350.0634410.76130.223864
36-0.109643-1.31570.095181
37-0.041148-0.49380.311109
380.0578670.69440.244275
390.0205040.2460.402998
40-0.143937-1.72720.043134
410.0315340.37840.352844
42-0.057818-0.69380.244458
430.0609350.73120.232915
44-0.01595-0.19140.424243
450.0065650.07880.468658
46-0.051584-0.6190.268444
47-0.040008-0.48010.315946
48-0.142393-1.70870.044829
490.0704620.84550.199605
50-0.013213-0.15860.43712
510.1564661.87760.03123
52-0.089199-1.07040.143118
53-0.029883-0.35860.360212
540.0433380.52010.301912
55-0.07272-0.87260.192156
56-0.037818-0.45380.325322
57-0.062021-0.74420.22897
58-0.130381-1.56460.059939
590.0927381.11290.133813
600.0540080.64810.258979

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.093351 & 1.1202 & 0.132244 \tabularnewline
2 & 0.271377 & 3.2565 & 0.000703 \tabularnewline
3 & 0.474065 & 5.6888 & 0 \tabularnewline
4 & -0.046476 & -0.5577 & 0.288953 \tabularnewline
5 & -0.051088 & -0.6131 & 0.270404 \tabularnewline
6 & 0.004621 & 0.0555 & 0.477927 \tabularnewline
7 & -0.258251 & -3.099 & 0.001168 \tabularnewline
8 & -0.033439 & -0.4013 & 0.344407 \tabularnewline
9 & 0.10808 & 1.297 & 0.09836 \tabularnewline
10 & -0.108521 & -1.3023 & 0.097455 \tabularnewline
11 & -0.147509 & -1.7701 & 0.039412 \tabularnewline
12 & -0.14499 & -1.7399 & 0.042008 \tabularnewline
13 & -0.114831 & -1.378 & 0.085174 \tabularnewline
14 & 0.087029 & 1.0443 & 0.149038 \tabularnewline
15 & 0.196656 & 2.3599 & 0.009812 \tabularnewline
16 & -0.024237 & -0.2908 & 0.385793 \tabularnewline
17 & 0.006357 & 0.0763 & 0.469649 \tabularnewline
18 & 0.088281 & 1.0594 & 0.145602 \tabularnewline
19 & -0.202081 & -2.425 & 0.008274 \tabularnewline
20 & -0.198723 & -2.3847 & 0.009198 \tabularnewline
21 & 0.041734 & 0.5008 & 0.308635 \tabularnewline
22 & -0.124026 & -1.4883 & 0.069427 \tabularnewline
23 & 0.039166 & 0.47 & 0.319537 \tabularnewline
24 & -0.134068 & -1.6088 & 0.054923 \tabularnewline
25 & -0.050396 & -0.6048 & 0.273148 \tabularnewline
26 & 0.137072 & 1.6449 & 0.051089 \tabularnewline
27 & 0.103097 & 1.2372 & 0.10902 \tabularnewline
28 & -0.030671 & -0.3681 & 0.356686 \tabularnewline
29 & -0.043199 & -0.5184 & 0.30249 \tabularnewline
30 & -0.031246 & -0.3749 & 0.354125 \tabularnewline
31 & -0.14254 & -1.7105 & 0.044665 \tabularnewline
32 & -0.006863 & -0.0824 & 0.467237 \tabularnewline
33 & -0.003754 & -0.045 & 0.482068 \tabularnewline
34 & -0.115655 & -1.3879 & 0.083662 \tabularnewline
35 & 0.063441 & 0.7613 & 0.223864 \tabularnewline
36 & -0.109643 & -1.3157 & 0.095181 \tabularnewline
37 & -0.041148 & -0.4938 & 0.311109 \tabularnewline
38 & 0.057867 & 0.6944 & 0.244275 \tabularnewline
39 & 0.020504 & 0.246 & 0.402998 \tabularnewline
40 & -0.143937 & -1.7272 & 0.043134 \tabularnewline
41 & 0.031534 & 0.3784 & 0.352844 \tabularnewline
42 & -0.057818 & -0.6938 & 0.244458 \tabularnewline
43 & 0.060935 & 0.7312 & 0.232915 \tabularnewline
44 & -0.01595 & -0.1914 & 0.424243 \tabularnewline
45 & 0.006565 & 0.0788 & 0.468658 \tabularnewline
46 & -0.051584 & -0.619 & 0.268444 \tabularnewline
47 & -0.040008 & -0.4801 & 0.315946 \tabularnewline
48 & -0.142393 & -1.7087 & 0.044829 \tabularnewline
49 & 0.070462 & 0.8455 & 0.199605 \tabularnewline
50 & -0.013213 & -0.1586 & 0.43712 \tabularnewline
51 & 0.156466 & 1.8776 & 0.03123 \tabularnewline
52 & -0.089199 & -1.0704 & 0.143118 \tabularnewline
53 & -0.029883 & -0.3586 & 0.360212 \tabularnewline
54 & 0.043338 & 0.5201 & 0.301912 \tabularnewline
55 & -0.07272 & -0.8726 & 0.192156 \tabularnewline
56 & -0.037818 & -0.4538 & 0.325322 \tabularnewline
57 & -0.062021 & -0.7442 & 0.22897 \tabularnewline
58 & -0.130381 & -1.5646 & 0.059939 \tabularnewline
59 & 0.092738 & 1.1129 & 0.133813 \tabularnewline
60 & 0.054008 & 0.6481 & 0.258979 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=33250&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]0.093351[/C][C]1.1202[/C][C]0.132244[/C][/ROW]
[ROW][C]2[/C][C]0.271377[/C][C]3.2565[/C][C]0.000703[/C][/ROW]
[ROW][C]3[/C][C]0.474065[/C][C]5.6888[/C][C]0[/C][/ROW]
[ROW][C]4[/C][C]-0.046476[/C][C]-0.5577[/C][C]0.288953[/C][/ROW]
[ROW][C]5[/C][C]-0.051088[/C][C]-0.6131[/C][C]0.270404[/C][/ROW]
[ROW][C]6[/C][C]0.004621[/C][C]0.0555[/C][C]0.477927[/C][/ROW]
[ROW][C]7[/C][C]-0.258251[/C][C]-3.099[/C][C]0.001168[/C][/ROW]
[ROW][C]8[/C][C]-0.033439[/C][C]-0.4013[/C][C]0.344407[/C][/ROW]
[ROW][C]9[/C][C]0.10808[/C][C]1.297[/C][C]0.09836[/C][/ROW]
[ROW][C]10[/C][C]-0.108521[/C][C]-1.3023[/C][C]0.097455[/C][/ROW]
[ROW][C]11[/C][C]-0.147509[/C][C]-1.7701[/C][C]0.039412[/C][/ROW]
[ROW][C]12[/C][C]-0.14499[/C][C]-1.7399[/C][C]0.042008[/C][/ROW]
[ROW][C]13[/C][C]-0.114831[/C][C]-1.378[/C][C]0.085174[/C][/ROW]
[ROW][C]14[/C][C]0.087029[/C][C]1.0443[/C][C]0.149038[/C][/ROW]
[ROW][C]15[/C][C]0.196656[/C][C]2.3599[/C][C]0.009812[/C][/ROW]
[ROW][C]16[/C][C]-0.024237[/C][C]-0.2908[/C][C]0.385793[/C][/ROW]
[ROW][C]17[/C][C]0.006357[/C][C]0.0763[/C][C]0.469649[/C][/ROW]
[ROW][C]18[/C][C]0.088281[/C][C]1.0594[/C][C]0.145602[/C][/ROW]
[ROW][C]19[/C][C]-0.202081[/C][C]-2.425[/C][C]0.008274[/C][/ROW]
[ROW][C]20[/C][C]-0.198723[/C][C]-2.3847[/C][C]0.009198[/C][/ROW]
[ROW][C]21[/C][C]0.041734[/C][C]0.5008[/C][C]0.308635[/C][/ROW]
[ROW][C]22[/C][C]-0.124026[/C][C]-1.4883[/C][C]0.069427[/C][/ROW]
[ROW][C]23[/C][C]0.039166[/C][C]0.47[/C][C]0.319537[/C][/ROW]
[ROW][C]24[/C][C]-0.134068[/C][C]-1.6088[/C][C]0.054923[/C][/ROW]
[ROW][C]25[/C][C]-0.050396[/C][C]-0.6048[/C][C]0.273148[/C][/ROW]
[ROW][C]26[/C][C]0.137072[/C][C]1.6449[/C][C]0.051089[/C][/ROW]
[ROW][C]27[/C][C]0.103097[/C][C]1.2372[/C][C]0.10902[/C][/ROW]
[ROW][C]28[/C][C]-0.030671[/C][C]-0.3681[/C][C]0.356686[/C][/ROW]
[ROW][C]29[/C][C]-0.043199[/C][C]-0.5184[/C][C]0.30249[/C][/ROW]
[ROW][C]30[/C][C]-0.031246[/C][C]-0.3749[/C][C]0.354125[/C][/ROW]
[ROW][C]31[/C][C]-0.14254[/C][C]-1.7105[/C][C]0.044665[/C][/ROW]
[ROW][C]32[/C][C]-0.006863[/C][C]-0.0824[/C][C]0.467237[/C][/ROW]
[ROW][C]33[/C][C]-0.003754[/C][C]-0.045[/C][C]0.482068[/C][/ROW]
[ROW][C]34[/C][C]-0.115655[/C][C]-1.3879[/C][C]0.083662[/C][/ROW]
[ROW][C]35[/C][C]0.063441[/C][C]0.7613[/C][C]0.223864[/C][/ROW]
[ROW][C]36[/C][C]-0.109643[/C][C]-1.3157[/C][C]0.095181[/C][/ROW]
[ROW][C]37[/C][C]-0.041148[/C][C]-0.4938[/C][C]0.311109[/C][/ROW]
[ROW][C]38[/C][C]0.057867[/C][C]0.6944[/C][C]0.244275[/C][/ROW]
[ROW][C]39[/C][C]0.020504[/C][C]0.246[/C][C]0.402998[/C][/ROW]
[ROW][C]40[/C][C]-0.143937[/C][C]-1.7272[/C][C]0.043134[/C][/ROW]
[ROW][C]41[/C][C]0.031534[/C][C]0.3784[/C][C]0.352844[/C][/ROW]
[ROW][C]42[/C][C]-0.057818[/C][C]-0.6938[/C][C]0.244458[/C][/ROW]
[ROW][C]43[/C][C]0.060935[/C][C]0.7312[/C][C]0.232915[/C][/ROW]
[ROW][C]44[/C][C]-0.01595[/C][C]-0.1914[/C][C]0.424243[/C][/ROW]
[ROW][C]45[/C][C]0.006565[/C][C]0.0788[/C][C]0.468658[/C][/ROW]
[ROW][C]46[/C][C]-0.051584[/C][C]-0.619[/C][C]0.268444[/C][/ROW]
[ROW][C]47[/C][C]-0.040008[/C][C]-0.4801[/C][C]0.315946[/C][/ROW]
[ROW][C]48[/C][C]-0.142393[/C][C]-1.7087[/C][C]0.044829[/C][/ROW]
[ROW][C]49[/C][C]0.070462[/C][C]0.8455[/C][C]0.199605[/C][/ROW]
[ROW][C]50[/C][C]-0.013213[/C][C]-0.1586[/C][C]0.43712[/C][/ROW]
[ROW][C]51[/C][C]0.156466[/C][C]1.8776[/C][C]0.03123[/C][/ROW]
[ROW][C]52[/C][C]-0.089199[/C][C]-1.0704[/C][C]0.143118[/C][/ROW]
[ROW][C]53[/C][C]-0.029883[/C][C]-0.3586[/C][C]0.360212[/C][/ROW]
[ROW][C]54[/C][C]0.043338[/C][C]0.5201[/C][C]0.301912[/C][/ROW]
[ROW][C]55[/C][C]-0.07272[/C][C]-0.8726[/C][C]0.192156[/C][/ROW]
[ROW][C]56[/C][C]-0.037818[/C][C]-0.4538[/C][C]0.325322[/C][/ROW]
[ROW][C]57[/C][C]-0.062021[/C][C]-0.7442[/C][C]0.22897[/C][/ROW]
[ROW][C]58[/C][C]-0.130381[/C][C]-1.5646[/C][C]0.059939[/C][/ROW]
[ROW][C]59[/C][C]0.092738[/C][C]1.1129[/C][C]0.133813[/C][/ROW]
[ROW][C]60[/C][C]0.054008[/C][C]0.6481[/C][C]0.258979[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=33250&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=33250&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
10.0933511.12020.132244
20.2713773.25650.000703
30.4740655.68880
4-0.046476-0.55770.288953
5-0.051088-0.61310.270404
60.0046210.05550.477927
7-0.258251-3.0990.001168
8-0.033439-0.40130.344407
90.108081.2970.09836
10-0.108521-1.30230.097455
11-0.147509-1.77010.039412
12-0.14499-1.73990.042008
13-0.114831-1.3780.085174
140.0870291.04430.149038
150.1966562.35990.009812
16-0.024237-0.29080.385793
170.0063570.07630.469649
180.0882811.05940.145602
19-0.202081-2.4250.008274
20-0.198723-2.38470.009198
210.0417340.50080.308635
22-0.124026-1.48830.069427
230.0391660.470.319537
24-0.134068-1.60880.054923
25-0.050396-0.60480.273148
260.1370721.64490.051089
270.1030971.23720.10902
28-0.030671-0.36810.356686
29-0.043199-0.51840.30249
30-0.031246-0.37490.354125
31-0.14254-1.71050.044665
32-0.006863-0.08240.467237
33-0.003754-0.0450.482068
34-0.115655-1.38790.083662
350.0634410.76130.223864
36-0.109643-1.31570.095181
37-0.041148-0.49380.311109
380.0578670.69440.244275
390.0205040.2460.402998
40-0.143937-1.72720.043134
410.0315340.37840.352844
42-0.057818-0.69380.244458
430.0609350.73120.232915
44-0.01595-0.19140.424243
450.0065650.07880.468658
46-0.051584-0.6190.268444
47-0.040008-0.48010.315946
48-0.142393-1.70870.044829
490.0704620.84550.199605
50-0.013213-0.15860.43712
510.1564661.87760.03123
52-0.089199-1.07040.143118
53-0.029883-0.35860.360212
540.0433380.52010.301912
55-0.07272-0.87260.192156
56-0.037818-0.45380.325322
57-0.062021-0.74420.22897
58-0.130381-1.56460.059939
590.0927381.11290.133813
600.0540080.64810.258979



Parameters (Session):
par1 = 60 ; par2 = 0.3 ; par3 = 0 ; par4 = 1 ; par5 = 12 ;
Parameters (R input):
par1 = 60 ; par2 = 0.3 ; par3 = 0 ; par4 = 1 ; 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')