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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 02:44:19 -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/t1229679921cexzrvnjplj3e8p.htm/, Retrieved Wed, 15 May 2024 02:06:13 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=35009, Retrieved Wed, 15 May 2024 02:06:13 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact241
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Standard Deviation-Mean Plot] [tinneke_debock.pa...] [2008-12-18 18:24:23] [f9c5a49917ff87aeb076072f2749ef70]
- RMPD  [(Partial) Autocorrelation Function] [tinneke_debock.pa...] [2008-12-18 19:00:06] [f9c5a49917ff87aeb076072f2749ef70]
-   PD    [(Partial) Autocorrelation Function] [Paper statistiek_...] [2008-12-19 09:30:17] [fdc296cbeb5d8064cb0dbd634c3fdc55]
-    D      [(Partial) Autocorrelation Function] [Paper statistiek_...] [2008-12-19 09:33:45] [fdc296cbeb5d8064cb0dbd634c3fdc55]
-   PD          [(Partial) Autocorrelation Function] [Paper statistiek_...] [2008-12-19 09:44:19] [e221948dd14811c7d88a6530ac2a8702] [Current]
-   P             [(Partial) Autocorrelation Function] [Paper statistiek_...] [2008-12-19 09:47:25] [fdc296cbeb5d8064cb0dbd634c3fdc55]
-   P               [(Partial) Autocorrelation Function] [Paper statistiek_...] [2008-12-20 14:10:57] [fdc296cbeb5d8064cb0dbd634c3fdc55]
-   P             [(Partial) Autocorrelation Function] [Paper statistiek_...] [2008-12-20 14:08:10] [fdc296cbeb5d8064cb0dbd634c3fdc55]
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Dataseries X:
98.6
98
106.8
96.7
100.2
107.7
92
98.4
107.4
117.7
105.7
97.5
99.9
98.2
104.5
100.8
101.5
103.9
99.6
98.4
112.7
118.4
108.1
105.4
114.6
106.9
115.9
109.8
101.8
114.2
110.8
108.4
127.5
128.6
116.6
127.4
105
108.3
125
111.6
106.5
130.3
115
116.1
134
126.5
125.8
136.4
114.9
110.9
125.5
116.8
116.8
125.5
104.2
115.1
132.8
123.3
124.8
122
117.4
117.9
137.4
114.6
124.7
129.6
109.4
120.9
134.9
136.3
133.2
127.2
122.7
120.5
137.8
119.1
124.3
134.4
121.1
122.2
127.7
137.4
132.2
129.2
124.9
124.8
128.2
134.4
118.6
132.6
123.2
112.8
138.3




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time5 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\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 & 5 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ 193.190.124.10:1001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=35009&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]5 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ 193.190.124.10:1001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=35009&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35009&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 time5 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001







Autocorrelation Function
Time lag kACF(k)T-STATP-value
1-0.386604-3.70820.000178
2-0.316479-3.03560.001561
30.4467684.28532.2e-05
4-0.318783-3.05770.00146
5-0.104954-1.00670.158364
60.423424.06135.1e-05
7-0.242621-2.32710.011076
8-0.181557-1.74140.042475
90.4046363.88119.8e-05
10-0.362403-3.47610.000389
11-0.148192-1.42140.07929
120.5977275.73320
13-0.247958-2.37830.00973
14-0.195919-1.87920.031692
150.3404493.26550.000768
16-0.308012-2.95430.001989
17-0.026266-0.25190.400826
180.338513.24690.000814
19-0.237499-2.2780.012521
20-0.092216-0.88450.189365
210.269252.58260.005692
22-0.288144-2.76380.003451
23-0.034142-0.32750.372026
240.3476083.33410.000617
25-0.116749-1.11980.132853
26-0.128129-1.2290.111108
270.2339022.24350.013632
28-0.238733-2.28980.012158
29-0.051729-0.49620.310479
300.2691642.58170.005705
31-0.153639-1.47360.071995
32-0.043238-0.41470.339655
330.1502631.44130.076451
34-0.196249-1.88240.031474
35-0.06787-0.6510.258338
360.3098992.97240.001885
37-0.086739-0.8320.203789
38-0.108598-1.04160.150154
390.1623161.55690.061466
40-0.139153-1.33470.092632
41-0.059551-0.57120.284629
420.1745341.67410.048757
43-0.05649-0.54180.29462
44-0.056023-0.53740.29616
450.0755990.72510.235109
46-0.113264-1.08640.140073
47-0.085786-0.82280.206367
480.2741892.62990.005005
49-0.083582-0.80170.212399
50-0.098592-0.94570.1734
510.1068871.02520.153974
52-0.06547-0.6280.265792
53-0.032853-0.31510.376695
540.0939250.90090.184999
55-0.010278-0.09860.460843
56-0.074356-0.71320.238764
570.1077821.03380.151967
58-0.128373-1.23130.110673
59-0.075435-0.72350.235591
600.2279852.18680.015649

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & -0.386604 & -3.7082 & 0.000178 \tabularnewline
2 & -0.316479 & -3.0356 & 0.001561 \tabularnewline
3 & 0.446768 & 4.2853 & 2.2e-05 \tabularnewline
4 & -0.318783 & -3.0577 & 0.00146 \tabularnewline
5 & -0.104954 & -1.0067 & 0.158364 \tabularnewline
6 & 0.42342 & 4.0613 & 5.1e-05 \tabularnewline
7 & -0.242621 & -2.3271 & 0.011076 \tabularnewline
8 & -0.181557 & -1.7414 & 0.042475 \tabularnewline
9 & 0.404636 & 3.8811 & 9.8e-05 \tabularnewline
10 & -0.362403 & -3.4761 & 0.000389 \tabularnewline
11 & -0.148192 & -1.4214 & 0.07929 \tabularnewline
12 & 0.597727 & 5.7332 & 0 \tabularnewline
13 & -0.247958 & -2.3783 & 0.00973 \tabularnewline
14 & -0.195919 & -1.8792 & 0.031692 \tabularnewline
15 & 0.340449 & 3.2655 & 0.000768 \tabularnewline
16 & -0.308012 & -2.9543 & 0.001989 \tabularnewline
17 & -0.026266 & -0.2519 & 0.400826 \tabularnewline
18 & 0.33851 & 3.2469 & 0.000814 \tabularnewline
19 & -0.237499 & -2.278 & 0.012521 \tabularnewline
20 & -0.092216 & -0.8845 & 0.189365 \tabularnewline
21 & 0.26925 & 2.5826 & 0.005692 \tabularnewline
22 & -0.288144 & -2.7638 & 0.003451 \tabularnewline
23 & -0.034142 & -0.3275 & 0.372026 \tabularnewline
24 & 0.347608 & 3.3341 & 0.000617 \tabularnewline
25 & -0.116749 & -1.1198 & 0.132853 \tabularnewline
26 & -0.128129 & -1.229 & 0.111108 \tabularnewline
27 & 0.233902 & 2.2435 & 0.013632 \tabularnewline
28 & -0.238733 & -2.2898 & 0.012158 \tabularnewline
29 & -0.051729 & -0.4962 & 0.310479 \tabularnewline
30 & 0.269164 & 2.5817 & 0.005705 \tabularnewline
31 & -0.153639 & -1.4736 & 0.071995 \tabularnewline
32 & -0.043238 & -0.4147 & 0.339655 \tabularnewline
33 & 0.150263 & 1.4413 & 0.076451 \tabularnewline
34 & -0.196249 & -1.8824 & 0.031474 \tabularnewline
35 & -0.06787 & -0.651 & 0.258338 \tabularnewline
36 & 0.309899 & 2.9724 & 0.001885 \tabularnewline
37 & -0.086739 & -0.832 & 0.203789 \tabularnewline
38 & -0.108598 & -1.0416 & 0.150154 \tabularnewline
39 & 0.162316 & 1.5569 & 0.061466 \tabularnewline
40 & -0.139153 & -1.3347 & 0.092632 \tabularnewline
41 & -0.059551 & -0.5712 & 0.284629 \tabularnewline
42 & 0.174534 & 1.6741 & 0.048757 \tabularnewline
43 & -0.05649 & -0.5418 & 0.29462 \tabularnewline
44 & -0.056023 & -0.5374 & 0.29616 \tabularnewline
45 & 0.075599 & 0.7251 & 0.235109 \tabularnewline
46 & -0.113264 & -1.0864 & 0.140073 \tabularnewline
47 & -0.085786 & -0.8228 & 0.206367 \tabularnewline
48 & 0.274189 & 2.6299 & 0.005005 \tabularnewline
49 & -0.083582 & -0.8017 & 0.212399 \tabularnewline
50 & -0.098592 & -0.9457 & 0.1734 \tabularnewline
51 & 0.106887 & 1.0252 & 0.153974 \tabularnewline
52 & -0.06547 & -0.628 & 0.265792 \tabularnewline
53 & -0.032853 & -0.3151 & 0.376695 \tabularnewline
54 & 0.093925 & 0.9009 & 0.184999 \tabularnewline
55 & -0.010278 & -0.0986 & 0.460843 \tabularnewline
56 & -0.074356 & -0.7132 & 0.238764 \tabularnewline
57 & 0.107782 & 1.0338 & 0.151967 \tabularnewline
58 & -0.128373 & -1.2313 & 0.110673 \tabularnewline
59 & -0.075435 & -0.7235 & 0.235591 \tabularnewline
60 & 0.227985 & 2.1868 & 0.015649 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=35009&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]-0.386604[/C][C]-3.7082[/C][C]0.000178[/C][/ROW]
[ROW][C]2[/C][C]-0.316479[/C][C]-3.0356[/C][C]0.001561[/C][/ROW]
[ROW][C]3[/C][C]0.446768[/C][C]4.2853[/C][C]2.2e-05[/C][/ROW]
[ROW][C]4[/C][C]-0.318783[/C][C]-3.0577[/C][C]0.00146[/C][/ROW]
[ROW][C]5[/C][C]-0.104954[/C][C]-1.0067[/C][C]0.158364[/C][/ROW]
[ROW][C]6[/C][C]0.42342[/C][C]4.0613[/C][C]5.1e-05[/C][/ROW]
[ROW][C]7[/C][C]-0.242621[/C][C]-2.3271[/C][C]0.011076[/C][/ROW]
[ROW][C]8[/C][C]-0.181557[/C][C]-1.7414[/C][C]0.042475[/C][/ROW]
[ROW][C]9[/C][C]0.404636[/C][C]3.8811[/C][C]9.8e-05[/C][/ROW]
[ROW][C]10[/C][C]-0.362403[/C][C]-3.4761[/C][C]0.000389[/C][/ROW]
[ROW][C]11[/C][C]-0.148192[/C][C]-1.4214[/C][C]0.07929[/C][/ROW]
[ROW][C]12[/C][C]0.597727[/C][C]5.7332[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]-0.247958[/C][C]-2.3783[/C][C]0.00973[/C][/ROW]
[ROW][C]14[/C][C]-0.195919[/C][C]-1.8792[/C][C]0.031692[/C][/ROW]
[ROW][C]15[/C][C]0.340449[/C][C]3.2655[/C][C]0.000768[/C][/ROW]
[ROW][C]16[/C][C]-0.308012[/C][C]-2.9543[/C][C]0.001989[/C][/ROW]
[ROW][C]17[/C][C]-0.026266[/C][C]-0.2519[/C][C]0.400826[/C][/ROW]
[ROW][C]18[/C][C]0.33851[/C][C]3.2469[/C][C]0.000814[/C][/ROW]
[ROW][C]19[/C][C]-0.237499[/C][C]-2.278[/C][C]0.012521[/C][/ROW]
[ROW][C]20[/C][C]-0.092216[/C][C]-0.8845[/C][C]0.189365[/C][/ROW]
[ROW][C]21[/C][C]0.26925[/C][C]2.5826[/C][C]0.005692[/C][/ROW]
[ROW][C]22[/C][C]-0.288144[/C][C]-2.7638[/C][C]0.003451[/C][/ROW]
[ROW][C]23[/C][C]-0.034142[/C][C]-0.3275[/C][C]0.372026[/C][/ROW]
[ROW][C]24[/C][C]0.347608[/C][C]3.3341[/C][C]0.000617[/C][/ROW]
[ROW][C]25[/C][C]-0.116749[/C][C]-1.1198[/C][C]0.132853[/C][/ROW]
[ROW][C]26[/C][C]-0.128129[/C][C]-1.229[/C][C]0.111108[/C][/ROW]
[ROW][C]27[/C][C]0.233902[/C][C]2.2435[/C][C]0.013632[/C][/ROW]
[ROW][C]28[/C][C]-0.238733[/C][C]-2.2898[/C][C]0.012158[/C][/ROW]
[ROW][C]29[/C][C]-0.051729[/C][C]-0.4962[/C][C]0.310479[/C][/ROW]
[ROW][C]30[/C][C]0.269164[/C][C]2.5817[/C][C]0.005705[/C][/ROW]
[ROW][C]31[/C][C]-0.153639[/C][C]-1.4736[/C][C]0.071995[/C][/ROW]
[ROW][C]32[/C][C]-0.043238[/C][C]-0.4147[/C][C]0.339655[/C][/ROW]
[ROW][C]33[/C][C]0.150263[/C][C]1.4413[/C][C]0.076451[/C][/ROW]
[ROW][C]34[/C][C]-0.196249[/C][C]-1.8824[/C][C]0.031474[/C][/ROW]
[ROW][C]35[/C][C]-0.06787[/C][C]-0.651[/C][C]0.258338[/C][/ROW]
[ROW][C]36[/C][C]0.309899[/C][C]2.9724[/C][C]0.001885[/C][/ROW]
[ROW][C]37[/C][C]-0.086739[/C][C]-0.832[/C][C]0.203789[/C][/ROW]
[ROW][C]38[/C][C]-0.108598[/C][C]-1.0416[/C][C]0.150154[/C][/ROW]
[ROW][C]39[/C][C]0.162316[/C][C]1.5569[/C][C]0.061466[/C][/ROW]
[ROW][C]40[/C][C]-0.139153[/C][C]-1.3347[/C][C]0.092632[/C][/ROW]
[ROW][C]41[/C][C]-0.059551[/C][C]-0.5712[/C][C]0.284629[/C][/ROW]
[ROW][C]42[/C][C]0.174534[/C][C]1.6741[/C][C]0.048757[/C][/ROW]
[ROW][C]43[/C][C]-0.05649[/C][C]-0.5418[/C][C]0.29462[/C][/ROW]
[ROW][C]44[/C][C]-0.056023[/C][C]-0.5374[/C][C]0.29616[/C][/ROW]
[ROW][C]45[/C][C]0.075599[/C][C]0.7251[/C][C]0.235109[/C][/ROW]
[ROW][C]46[/C][C]-0.113264[/C][C]-1.0864[/C][C]0.140073[/C][/ROW]
[ROW][C]47[/C][C]-0.085786[/C][C]-0.8228[/C][C]0.206367[/C][/ROW]
[ROW][C]48[/C][C]0.274189[/C][C]2.6299[/C][C]0.005005[/C][/ROW]
[ROW][C]49[/C][C]-0.083582[/C][C]-0.8017[/C][C]0.212399[/C][/ROW]
[ROW][C]50[/C][C]-0.098592[/C][C]-0.9457[/C][C]0.1734[/C][/ROW]
[ROW][C]51[/C][C]0.106887[/C][C]1.0252[/C][C]0.153974[/C][/ROW]
[ROW][C]52[/C][C]-0.06547[/C][C]-0.628[/C][C]0.265792[/C][/ROW]
[ROW][C]53[/C][C]-0.032853[/C][C]-0.3151[/C][C]0.376695[/C][/ROW]
[ROW][C]54[/C][C]0.093925[/C][C]0.9009[/C][C]0.184999[/C][/ROW]
[ROW][C]55[/C][C]-0.010278[/C][C]-0.0986[/C][C]0.460843[/C][/ROW]
[ROW][C]56[/C][C]-0.074356[/C][C]-0.7132[/C][C]0.238764[/C][/ROW]
[ROW][C]57[/C][C]0.107782[/C][C]1.0338[/C][C]0.151967[/C][/ROW]
[ROW][C]58[/C][C]-0.128373[/C][C]-1.2313[/C][C]0.110673[/C][/ROW]
[ROW][C]59[/C][C]-0.075435[/C][C]-0.7235[/C][C]0.235591[/C][/ROW]
[ROW][C]60[/C][C]0.227985[/C][C]2.1868[/C][C]0.015649[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=35009&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35009&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
1-0.386604-3.70820.000178
2-0.316479-3.03560.001561
30.4467684.28532.2e-05
4-0.318783-3.05770.00146
5-0.104954-1.00670.158364
60.423424.06135.1e-05
7-0.242621-2.32710.011076
8-0.181557-1.74140.042475
90.4046363.88119.8e-05
10-0.362403-3.47610.000389
11-0.148192-1.42140.07929
120.5977275.73320
13-0.247958-2.37830.00973
14-0.195919-1.87920.031692
150.3404493.26550.000768
16-0.308012-2.95430.001989
17-0.026266-0.25190.400826
180.338513.24690.000814
19-0.237499-2.2780.012521
20-0.092216-0.88450.189365
210.269252.58260.005692
22-0.288144-2.76380.003451
23-0.034142-0.32750.372026
240.3476083.33410.000617
25-0.116749-1.11980.132853
26-0.128129-1.2290.111108
270.2339022.24350.013632
28-0.238733-2.28980.012158
29-0.051729-0.49620.310479
300.2691642.58170.005705
31-0.153639-1.47360.071995
32-0.043238-0.41470.339655
330.1502631.44130.076451
34-0.196249-1.88240.031474
35-0.06787-0.6510.258338
360.3098992.97240.001885
37-0.086739-0.8320.203789
38-0.108598-1.04160.150154
390.1623161.55690.061466
40-0.139153-1.33470.092632
41-0.059551-0.57120.284629
420.1745341.67410.048757
43-0.05649-0.54180.29462
44-0.056023-0.53740.29616
450.0755990.72510.235109
46-0.113264-1.08640.140073
47-0.085786-0.82280.206367
480.2741892.62990.005005
49-0.083582-0.80170.212399
50-0.098592-0.94570.1734
510.1068871.02520.153974
52-0.06547-0.6280.265792
53-0.032853-0.31510.376695
540.0939250.90090.184999
55-0.010278-0.09860.460843
56-0.074356-0.71320.238764
570.1077821.03380.151967
58-0.128373-1.23130.110673
59-0.075435-0.72350.235591
600.2279852.18680.015649







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
1-0.386604-3.70820.000178
2-0.54782-5.25450
30.0766020.73470.232184
4-0.337011-3.23250.000852
5-0.26621-2.55340.006156
60.0206150.19770.421845
7-0.020967-0.20110.42053
8-0.210231-2.01650.023333
90.0864680.82940.20452
10-0.294989-2.82940.002862
11-0.43809-4.2023.1e-05
120.0017450.01670.493342
130.1541231.47830.071372
140.054650.52420.300705
150.0587170.56320.287337
16-0.016401-0.15730.437671
170.0458760.440.330474
18-0.0638-0.6120.27104
190.0374660.35940.360074
20-0.033627-0.32250.373889
21-0.071626-0.6870.2469
22-0.124475-1.19390.117789
23-0.034627-0.33210.370272
24-0.165046-1.58310.058419
250.0945430.90680.183435
26-0.026654-0.25570.399395
270.150251.44120.076468
280.0004620.00440.498235
290.0033480.03210.487225
30-0.151919-1.45720.074239
310.0037170.03560.48582
32-0.019652-0.18850.425453
330.0615740.59060.27812
34-0.042762-0.41020.34132
35-0.081217-0.7790.218988
36-0.025617-0.24570.403229
370.0532230.51050.305463
38-0.038381-0.36810.356809
39-0.028559-0.27390.392377
40-0.009528-0.09140.463693
410.1090991.04640.149049
42-0.07145-0.68530.247432
430.0942370.90390.184207
440.0185230.17770.429687
450.0094630.09080.463937
46-0.051505-0.4940.311235
470.0143090.13730.445566
480.0462450.44360.329198
49-0.058099-0.55730.289349
50-0.095521-0.91620.180977
51-0.140279-1.34550.090884
52-0.097642-0.93660.17572
530.0157710.15130.440046
54-0.031973-0.30670.379892
550.007240.06940.472393
56-0.076336-0.73220.232956
570.0895890.85930.196202
58-0.072724-0.69750.243611
59-0.048391-0.46410.321819
60-0.032529-0.3120.377872

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & -0.386604 & -3.7082 & 0.000178 \tabularnewline
2 & -0.54782 & -5.2545 & 0 \tabularnewline
3 & 0.076602 & 0.7347 & 0.232184 \tabularnewline
4 & -0.337011 & -3.2325 & 0.000852 \tabularnewline
5 & -0.26621 & -2.5534 & 0.006156 \tabularnewline
6 & 0.020615 & 0.1977 & 0.421845 \tabularnewline
7 & -0.020967 & -0.2011 & 0.42053 \tabularnewline
8 & -0.210231 & -2.0165 & 0.023333 \tabularnewline
9 & 0.086468 & 0.8294 & 0.20452 \tabularnewline
10 & -0.294989 & -2.8294 & 0.002862 \tabularnewline
11 & -0.43809 & -4.202 & 3.1e-05 \tabularnewline
12 & 0.001745 & 0.0167 & 0.493342 \tabularnewline
13 & 0.154123 & 1.4783 & 0.071372 \tabularnewline
14 & 0.05465 & 0.5242 & 0.300705 \tabularnewline
15 & 0.058717 & 0.5632 & 0.287337 \tabularnewline
16 & -0.016401 & -0.1573 & 0.437671 \tabularnewline
17 & 0.045876 & 0.44 & 0.330474 \tabularnewline
18 & -0.0638 & -0.612 & 0.27104 \tabularnewline
19 & 0.037466 & 0.3594 & 0.360074 \tabularnewline
20 & -0.033627 & -0.3225 & 0.373889 \tabularnewline
21 & -0.071626 & -0.687 & 0.2469 \tabularnewline
22 & -0.124475 & -1.1939 & 0.117789 \tabularnewline
23 & -0.034627 & -0.3321 & 0.370272 \tabularnewline
24 & -0.165046 & -1.5831 & 0.058419 \tabularnewline
25 & 0.094543 & 0.9068 & 0.183435 \tabularnewline
26 & -0.026654 & -0.2557 & 0.399395 \tabularnewline
27 & 0.15025 & 1.4412 & 0.076468 \tabularnewline
28 & 0.000462 & 0.0044 & 0.498235 \tabularnewline
29 & 0.003348 & 0.0321 & 0.487225 \tabularnewline
30 & -0.151919 & -1.4572 & 0.074239 \tabularnewline
31 & 0.003717 & 0.0356 & 0.48582 \tabularnewline
32 & -0.019652 & -0.1885 & 0.425453 \tabularnewline
33 & 0.061574 & 0.5906 & 0.27812 \tabularnewline
34 & -0.042762 & -0.4102 & 0.34132 \tabularnewline
35 & -0.081217 & -0.779 & 0.218988 \tabularnewline
36 & -0.025617 & -0.2457 & 0.403229 \tabularnewline
37 & 0.053223 & 0.5105 & 0.305463 \tabularnewline
38 & -0.038381 & -0.3681 & 0.356809 \tabularnewline
39 & -0.028559 & -0.2739 & 0.392377 \tabularnewline
40 & -0.009528 & -0.0914 & 0.463693 \tabularnewline
41 & 0.109099 & 1.0464 & 0.149049 \tabularnewline
42 & -0.07145 & -0.6853 & 0.247432 \tabularnewline
43 & 0.094237 & 0.9039 & 0.184207 \tabularnewline
44 & 0.018523 & 0.1777 & 0.429687 \tabularnewline
45 & 0.009463 & 0.0908 & 0.463937 \tabularnewline
46 & -0.051505 & -0.494 & 0.311235 \tabularnewline
47 & 0.014309 & 0.1373 & 0.445566 \tabularnewline
48 & 0.046245 & 0.4436 & 0.329198 \tabularnewline
49 & -0.058099 & -0.5573 & 0.289349 \tabularnewline
50 & -0.095521 & -0.9162 & 0.180977 \tabularnewline
51 & -0.140279 & -1.3455 & 0.090884 \tabularnewline
52 & -0.097642 & -0.9366 & 0.17572 \tabularnewline
53 & 0.015771 & 0.1513 & 0.440046 \tabularnewline
54 & -0.031973 & -0.3067 & 0.379892 \tabularnewline
55 & 0.00724 & 0.0694 & 0.472393 \tabularnewline
56 & -0.076336 & -0.7322 & 0.232956 \tabularnewline
57 & 0.089589 & 0.8593 & 0.196202 \tabularnewline
58 & -0.072724 & -0.6975 & 0.243611 \tabularnewline
59 & -0.048391 & -0.4641 & 0.321819 \tabularnewline
60 & -0.032529 & -0.312 & 0.377872 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=35009&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]-0.386604[/C][C]-3.7082[/C][C]0.000178[/C][/ROW]
[ROW][C]2[/C][C]-0.54782[/C][C]-5.2545[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.076602[/C][C]0.7347[/C][C]0.232184[/C][/ROW]
[ROW][C]4[/C][C]-0.337011[/C][C]-3.2325[/C][C]0.000852[/C][/ROW]
[ROW][C]5[/C][C]-0.26621[/C][C]-2.5534[/C][C]0.006156[/C][/ROW]
[ROW][C]6[/C][C]0.020615[/C][C]0.1977[/C][C]0.421845[/C][/ROW]
[ROW][C]7[/C][C]-0.020967[/C][C]-0.2011[/C][C]0.42053[/C][/ROW]
[ROW][C]8[/C][C]-0.210231[/C][C]-2.0165[/C][C]0.023333[/C][/ROW]
[ROW][C]9[/C][C]0.086468[/C][C]0.8294[/C][C]0.20452[/C][/ROW]
[ROW][C]10[/C][C]-0.294989[/C][C]-2.8294[/C][C]0.002862[/C][/ROW]
[ROW][C]11[/C][C]-0.43809[/C][C]-4.202[/C][C]3.1e-05[/C][/ROW]
[ROW][C]12[/C][C]0.001745[/C][C]0.0167[/C][C]0.493342[/C][/ROW]
[ROW][C]13[/C][C]0.154123[/C][C]1.4783[/C][C]0.071372[/C][/ROW]
[ROW][C]14[/C][C]0.05465[/C][C]0.5242[/C][C]0.300705[/C][/ROW]
[ROW][C]15[/C][C]0.058717[/C][C]0.5632[/C][C]0.287337[/C][/ROW]
[ROW][C]16[/C][C]-0.016401[/C][C]-0.1573[/C][C]0.437671[/C][/ROW]
[ROW][C]17[/C][C]0.045876[/C][C]0.44[/C][C]0.330474[/C][/ROW]
[ROW][C]18[/C][C]-0.0638[/C][C]-0.612[/C][C]0.27104[/C][/ROW]
[ROW][C]19[/C][C]0.037466[/C][C]0.3594[/C][C]0.360074[/C][/ROW]
[ROW][C]20[/C][C]-0.033627[/C][C]-0.3225[/C][C]0.373889[/C][/ROW]
[ROW][C]21[/C][C]-0.071626[/C][C]-0.687[/C][C]0.2469[/C][/ROW]
[ROW][C]22[/C][C]-0.124475[/C][C]-1.1939[/C][C]0.117789[/C][/ROW]
[ROW][C]23[/C][C]-0.034627[/C][C]-0.3321[/C][C]0.370272[/C][/ROW]
[ROW][C]24[/C][C]-0.165046[/C][C]-1.5831[/C][C]0.058419[/C][/ROW]
[ROW][C]25[/C][C]0.094543[/C][C]0.9068[/C][C]0.183435[/C][/ROW]
[ROW][C]26[/C][C]-0.026654[/C][C]-0.2557[/C][C]0.399395[/C][/ROW]
[ROW][C]27[/C][C]0.15025[/C][C]1.4412[/C][C]0.076468[/C][/ROW]
[ROW][C]28[/C][C]0.000462[/C][C]0.0044[/C][C]0.498235[/C][/ROW]
[ROW][C]29[/C][C]0.003348[/C][C]0.0321[/C][C]0.487225[/C][/ROW]
[ROW][C]30[/C][C]-0.151919[/C][C]-1.4572[/C][C]0.074239[/C][/ROW]
[ROW][C]31[/C][C]0.003717[/C][C]0.0356[/C][C]0.48582[/C][/ROW]
[ROW][C]32[/C][C]-0.019652[/C][C]-0.1885[/C][C]0.425453[/C][/ROW]
[ROW][C]33[/C][C]0.061574[/C][C]0.5906[/C][C]0.27812[/C][/ROW]
[ROW][C]34[/C][C]-0.042762[/C][C]-0.4102[/C][C]0.34132[/C][/ROW]
[ROW][C]35[/C][C]-0.081217[/C][C]-0.779[/C][C]0.218988[/C][/ROW]
[ROW][C]36[/C][C]-0.025617[/C][C]-0.2457[/C][C]0.403229[/C][/ROW]
[ROW][C]37[/C][C]0.053223[/C][C]0.5105[/C][C]0.305463[/C][/ROW]
[ROW][C]38[/C][C]-0.038381[/C][C]-0.3681[/C][C]0.356809[/C][/ROW]
[ROW][C]39[/C][C]-0.028559[/C][C]-0.2739[/C][C]0.392377[/C][/ROW]
[ROW][C]40[/C][C]-0.009528[/C][C]-0.0914[/C][C]0.463693[/C][/ROW]
[ROW][C]41[/C][C]0.109099[/C][C]1.0464[/C][C]0.149049[/C][/ROW]
[ROW][C]42[/C][C]-0.07145[/C][C]-0.6853[/C][C]0.247432[/C][/ROW]
[ROW][C]43[/C][C]0.094237[/C][C]0.9039[/C][C]0.184207[/C][/ROW]
[ROW][C]44[/C][C]0.018523[/C][C]0.1777[/C][C]0.429687[/C][/ROW]
[ROW][C]45[/C][C]0.009463[/C][C]0.0908[/C][C]0.463937[/C][/ROW]
[ROW][C]46[/C][C]-0.051505[/C][C]-0.494[/C][C]0.311235[/C][/ROW]
[ROW][C]47[/C][C]0.014309[/C][C]0.1373[/C][C]0.445566[/C][/ROW]
[ROW][C]48[/C][C]0.046245[/C][C]0.4436[/C][C]0.329198[/C][/ROW]
[ROW][C]49[/C][C]-0.058099[/C][C]-0.5573[/C][C]0.289349[/C][/ROW]
[ROW][C]50[/C][C]-0.095521[/C][C]-0.9162[/C][C]0.180977[/C][/ROW]
[ROW][C]51[/C][C]-0.140279[/C][C]-1.3455[/C][C]0.090884[/C][/ROW]
[ROW][C]52[/C][C]-0.097642[/C][C]-0.9366[/C][C]0.17572[/C][/ROW]
[ROW][C]53[/C][C]0.015771[/C][C]0.1513[/C][C]0.440046[/C][/ROW]
[ROW][C]54[/C][C]-0.031973[/C][C]-0.3067[/C][C]0.379892[/C][/ROW]
[ROW][C]55[/C][C]0.00724[/C][C]0.0694[/C][C]0.472393[/C][/ROW]
[ROW][C]56[/C][C]-0.076336[/C][C]-0.7322[/C][C]0.232956[/C][/ROW]
[ROW][C]57[/C][C]0.089589[/C][C]0.8593[/C][C]0.196202[/C][/ROW]
[ROW][C]58[/C][C]-0.072724[/C][C]-0.6975[/C][C]0.243611[/C][/ROW]
[ROW][C]59[/C][C]-0.048391[/C][C]-0.4641[/C][C]0.321819[/C][/ROW]
[ROW][C]60[/C][C]-0.032529[/C][C]-0.312[/C][C]0.377872[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=35009&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35009&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
1-0.386604-3.70820.000178
2-0.54782-5.25450
30.0766020.73470.232184
4-0.337011-3.23250.000852
5-0.26621-2.55340.006156
60.0206150.19770.421845
7-0.020967-0.20110.42053
8-0.210231-2.01650.023333
90.0864680.82940.20452
10-0.294989-2.82940.002862
11-0.43809-4.2023.1e-05
120.0017450.01670.493342
130.1541231.47830.071372
140.054650.52420.300705
150.0587170.56320.287337
16-0.016401-0.15730.437671
170.0458760.440.330474
18-0.0638-0.6120.27104
190.0374660.35940.360074
20-0.033627-0.32250.373889
21-0.071626-0.6870.2469
22-0.124475-1.19390.117789
23-0.034627-0.33210.370272
24-0.165046-1.58310.058419
250.0945430.90680.183435
26-0.026654-0.25570.399395
270.150251.44120.076468
280.0004620.00440.498235
290.0033480.03210.487225
30-0.151919-1.45720.074239
310.0037170.03560.48582
32-0.019652-0.18850.425453
330.0615740.59060.27812
34-0.042762-0.41020.34132
35-0.081217-0.7790.218988
36-0.025617-0.24570.403229
370.0532230.51050.305463
38-0.038381-0.36810.356809
39-0.028559-0.27390.392377
40-0.009528-0.09140.463693
410.1090991.04640.149049
42-0.07145-0.68530.247432
430.0942370.90390.184207
440.0185230.17770.429687
450.0094630.09080.463937
46-0.051505-0.4940.311235
470.0143090.13730.445566
480.0462450.44360.329198
49-0.058099-0.55730.289349
50-0.095521-0.91620.180977
51-0.140279-1.34550.090884
52-0.097642-0.93660.17572
530.0157710.15130.440046
54-0.031973-0.30670.379892
550.007240.06940.472393
56-0.076336-0.73220.232956
570.0895890.85930.196202
58-0.072724-0.69750.243611
59-0.048391-0.46410.321819
60-0.032529-0.3120.377872



Parameters (Session):
par1 = 60 ; par2 = -0.1 ; par3 = 1 ; par4 = 0 ; par5 = 12 ;
Parameters (R input):
par1 = 60 ; par2 = -0.1 ; par3 = 1 ; par4 = 0 ; par5 = 12 ;
R code (references can be found in the software module):
if (par1 == 'Default') {
par1 = 10*log10(length(x))
} else {
par1 <- as.numeric(par1)
}
par2 <- as.numeric(par2)
par3 <- as.numeric(par3)
par4 <- as.numeric(par4)
par5 <- as.numeric(par5)
if (par2 == 0) {
x <- log(x)
} else {
x <- (x ^ par2 - 1) / par2
}
if (par3 > 0) x <- diff(x,lag=1,difference=par3)
if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
bitmap(file='pic1.png')
racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF')
dev.off()
bitmap(file='pic2.png')
rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
dev.off()
(myacf <- c(racf$acf))
(mypacf <- c(rpacf$acf))
lengthx <- length(x)
sqrtn <- sqrt(lengthx)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Autocorrelation Function',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Time lag k',header=TRUE)
a<-table.element(a,hyperlink('basics.htm','ACF(k)','click here for more information about the Autocorrelation Function'),header=TRUE)
a<-table.element(a,'T-STAT',header=TRUE)
a<-table.element(a,'P-value',header=TRUE)
a<-table.row.end(a)
for (i in 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')