Free Statistics

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 computationMon, 22 Dec 2008 09:48:00 -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/22/t1229964604kplix09r2l18254.htm/, Retrieved Thu, 25 Apr 2024 23:04:37 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=36145, Retrieved Thu, 25 Apr 2024 23:04:37 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact221
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   P   [Univariate Data Series] [Herproducering ti...] [2008-12-03 14:38:00] [6fea0e9a9b3b29a63badf2c274e82506]
-   P     [Univariate Data Series] [Identification an...] [2008-12-08 18:55:50] [79c17183721a40a589db5f9f561947d8]
- RMPD      [(Partial) Autocorrelation Function] [ACF Invoer] [2008-12-22 16:29:05] [504b73e6de93b01331326637b3288ad4]
-   PD          [(Partial) Autocorrelation Function] [ACF Invoer Zonder...] [2008-12-22 16:48:00] [ba85d9d0a82357dd3edf208eef933423] [Current]
-                 [(Partial) Autocorrelation Function] [ACF Invoer Zonder...] [2008-12-22 17:24:13] [504b73e6de93b01331326637b3288ad4]
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Dataseries X:
14532.2
15167
16071.1
14827.5
15082
14772.7
16083
14272.5
15223.3
14897.3
13062.6
12603.8
13629.8
14421.1
13978.3
12927.9
13429.9
13470.1
14785.8
14292
14308.8
14013
13240.9
12153.4
14289.7
15669.2
14169.5
14569.8
14469.1
14264.9
15320.9
14433.5
13691.5
14194.1
13519.2
11857.9
14616
15643.4
14077.2
14887.5
14159.9
14643
17192.5
15386.1
14287.1
17526.6
14497
14398.3
16629.6
16670.7
16614.8
16869.2
15663.9
16359.9
18447.7
16889
16505
18320.9
15052.1
15699.8
18135.3
16768.7
18883
19021
18101.9
17776.1
21489.9
17065.3
18690
18953.1
16398.9
16895.7
18553
19270
19422.1
17579.4
18637.3
18076.7
20438.6
18075.2
19563
19899.2
19227.5
17789.6
19220.8
22058.6
21230.8
19504.4
23913.1
23165.7
23574.3
25002
22603.9
23408.6




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 2 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=36145&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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=36145&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=36145&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 time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24







Autocorrelation Function
Time lag kACF(k)T-STATP-value
1-0.41004-3.95437.5e-05
2-0.23459-2.26230.013003
30.3228763.11370.001228
4-0.151274-1.45880.07399
5-0.122474-1.18110.120288
60.3019722.91210.002247
7-0.196804-1.89790.030405
8-0.038614-0.37240.35523
90.2015991.94410.02745
10-0.25491-2.45830.007906
11-0.128029-1.23470.110033
120.5493585.29780
13-0.261821-2.52490.006633
14-0.115843-1.11710.133405
150.1449931.39830.08268
16-0.132637-1.27910.102021
170.0339750.32760.371959
180.1205421.16250.124011
19-0.122825-1.18450.119621
200.0220560.21270.416013
210.0579840.55920.288692
22-0.200069-1.92940.028365
230.0737070.71080.239492
240.2018181.94630.027321
25-0.05434-0.5240.30075
26-0.059495-0.57370.283762
270.0013580.01310.494789
28-0.038616-0.37240.355222
290.0901370.86930.193474
30-0.065821-0.63480.263574
310.0028710.02770.488986
320.0320490.30910.378981
33-0.026735-0.25780.398558
34-0.109587-1.05680.146667
350.032420.31260.377625
360.1502421.44890.075367
370.0153160.14770.441449
38-0.121383-1.17060.122381
390.0090710.08750.465239
400.0211820.20430.419295
410.0337980.32590.372601
42-0.072588-0.70.242832
430.0612090.59030.278217
440.0192520.18570.426557
45-0.084217-0.81220.209388
460.0405950.39150.348169
47-0.085241-0.8220.20658
480.1501991.44850.075425
490.0572330.55190.29116
50-0.152653-1.47210.072181
510.0115240.11110.455875
520.0549030.52950.298871
53-0.054453-0.52510.300373
540.0393670.37960.352537
55-0.00125-0.01210.495204
56-0.033877-0.32670.372317
57-0.009286-0.08960.464417
580.0221580.21370.415631
59-0.111339-1.07370.142864
600.1707261.64640.051526

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & -0.41004 & -3.9543 & 7.5e-05 \tabularnewline
2 & -0.23459 & -2.2623 & 0.013003 \tabularnewline
3 & 0.322876 & 3.1137 & 0.001228 \tabularnewline
4 & -0.151274 & -1.4588 & 0.07399 \tabularnewline
5 & -0.122474 & -1.1811 & 0.120288 \tabularnewline
6 & 0.301972 & 2.9121 & 0.002247 \tabularnewline
7 & -0.196804 & -1.8979 & 0.030405 \tabularnewline
8 & -0.038614 & -0.3724 & 0.35523 \tabularnewline
9 & 0.201599 & 1.9441 & 0.02745 \tabularnewline
10 & -0.25491 & -2.4583 & 0.007906 \tabularnewline
11 & -0.128029 & -1.2347 & 0.110033 \tabularnewline
12 & 0.549358 & 5.2978 & 0 \tabularnewline
13 & -0.261821 & -2.5249 & 0.006633 \tabularnewline
14 & -0.115843 & -1.1171 & 0.133405 \tabularnewline
15 & 0.144993 & 1.3983 & 0.08268 \tabularnewline
16 & -0.132637 & -1.2791 & 0.102021 \tabularnewline
17 & 0.033975 & 0.3276 & 0.371959 \tabularnewline
18 & 0.120542 & 1.1625 & 0.124011 \tabularnewline
19 & -0.122825 & -1.1845 & 0.119621 \tabularnewline
20 & 0.022056 & 0.2127 & 0.416013 \tabularnewline
21 & 0.057984 & 0.5592 & 0.288692 \tabularnewline
22 & -0.200069 & -1.9294 & 0.028365 \tabularnewline
23 & 0.073707 & 0.7108 & 0.239492 \tabularnewline
24 & 0.201818 & 1.9463 & 0.027321 \tabularnewline
25 & -0.05434 & -0.524 & 0.30075 \tabularnewline
26 & -0.059495 & -0.5737 & 0.283762 \tabularnewline
27 & 0.001358 & 0.0131 & 0.494789 \tabularnewline
28 & -0.038616 & -0.3724 & 0.355222 \tabularnewline
29 & 0.090137 & 0.8693 & 0.193474 \tabularnewline
30 & -0.065821 & -0.6348 & 0.263574 \tabularnewline
31 & 0.002871 & 0.0277 & 0.488986 \tabularnewline
32 & 0.032049 & 0.3091 & 0.378981 \tabularnewline
33 & -0.026735 & -0.2578 & 0.398558 \tabularnewline
34 & -0.109587 & -1.0568 & 0.146667 \tabularnewline
35 & 0.03242 & 0.3126 & 0.377625 \tabularnewline
36 & 0.150242 & 1.4489 & 0.075367 \tabularnewline
37 & 0.015316 & 0.1477 & 0.441449 \tabularnewline
38 & -0.121383 & -1.1706 & 0.122381 \tabularnewline
39 & 0.009071 & 0.0875 & 0.465239 \tabularnewline
40 & 0.021182 & 0.2043 & 0.419295 \tabularnewline
41 & 0.033798 & 0.3259 & 0.372601 \tabularnewline
42 & -0.072588 & -0.7 & 0.242832 \tabularnewline
43 & 0.061209 & 0.5903 & 0.278217 \tabularnewline
44 & 0.019252 & 0.1857 & 0.426557 \tabularnewline
45 & -0.084217 & -0.8122 & 0.209388 \tabularnewline
46 & 0.040595 & 0.3915 & 0.348169 \tabularnewline
47 & -0.085241 & -0.822 & 0.20658 \tabularnewline
48 & 0.150199 & 1.4485 & 0.075425 \tabularnewline
49 & 0.057233 & 0.5519 & 0.29116 \tabularnewline
50 & -0.152653 & -1.4721 & 0.072181 \tabularnewline
51 & 0.011524 & 0.1111 & 0.455875 \tabularnewline
52 & 0.054903 & 0.5295 & 0.298871 \tabularnewline
53 & -0.054453 & -0.5251 & 0.300373 \tabularnewline
54 & 0.039367 & 0.3796 & 0.352537 \tabularnewline
55 & -0.00125 & -0.0121 & 0.495204 \tabularnewline
56 & -0.033877 & -0.3267 & 0.372317 \tabularnewline
57 & -0.009286 & -0.0896 & 0.464417 \tabularnewline
58 & 0.022158 & 0.2137 & 0.415631 \tabularnewline
59 & -0.111339 & -1.0737 & 0.142864 \tabularnewline
60 & 0.170726 & 1.6464 & 0.051526 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=36145&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]-0.41004[/C][C]-3.9543[/C][C]7.5e-05[/C][/ROW]
[ROW][C]2[/C][C]-0.23459[/C][C]-2.2623[/C][C]0.013003[/C][/ROW]
[ROW][C]3[/C][C]0.322876[/C][C]3.1137[/C][C]0.001228[/C][/ROW]
[ROW][C]4[/C][C]-0.151274[/C][C]-1.4588[/C][C]0.07399[/C][/ROW]
[ROW][C]5[/C][C]-0.122474[/C][C]-1.1811[/C][C]0.120288[/C][/ROW]
[ROW][C]6[/C][C]0.301972[/C][C]2.9121[/C][C]0.002247[/C][/ROW]
[ROW][C]7[/C][C]-0.196804[/C][C]-1.8979[/C][C]0.030405[/C][/ROW]
[ROW][C]8[/C][C]-0.038614[/C][C]-0.3724[/C][C]0.35523[/C][/ROW]
[ROW][C]9[/C][C]0.201599[/C][C]1.9441[/C][C]0.02745[/C][/ROW]
[ROW][C]10[/C][C]-0.25491[/C][C]-2.4583[/C][C]0.007906[/C][/ROW]
[ROW][C]11[/C][C]-0.128029[/C][C]-1.2347[/C][C]0.110033[/C][/ROW]
[ROW][C]12[/C][C]0.549358[/C][C]5.2978[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]-0.261821[/C][C]-2.5249[/C][C]0.006633[/C][/ROW]
[ROW][C]14[/C][C]-0.115843[/C][C]-1.1171[/C][C]0.133405[/C][/ROW]
[ROW][C]15[/C][C]0.144993[/C][C]1.3983[/C][C]0.08268[/C][/ROW]
[ROW][C]16[/C][C]-0.132637[/C][C]-1.2791[/C][C]0.102021[/C][/ROW]
[ROW][C]17[/C][C]0.033975[/C][C]0.3276[/C][C]0.371959[/C][/ROW]
[ROW][C]18[/C][C]0.120542[/C][C]1.1625[/C][C]0.124011[/C][/ROW]
[ROW][C]19[/C][C]-0.122825[/C][C]-1.1845[/C][C]0.119621[/C][/ROW]
[ROW][C]20[/C][C]0.022056[/C][C]0.2127[/C][C]0.416013[/C][/ROW]
[ROW][C]21[/C][C]0.057984[/C][C]0.5592[/C][C]0.288692[/C][/ROW]
[ROW][C]22[/C][C]-0.200069[/C][C]-1.9294[/C][C]0.028365[/C][/ROW]
[ROW][C]23[/C][C]0.073707[/C][C]0.7108[/C][C]0.239492[/C][/ROW]
[ROW][C]24[/C][C]0.201818[/C][C]1.9463[/C][C]0.027321[/C][/ROW]
[ROW][C]25[/C][C]-0.05434[/C][C]-0.524[/C][C]0.30075[/C][/ROW]
[ROW][C]26[/C][C]-0.059495[/C][C]-0.5737[/C][C]0.283762[/C][/ROW]
[ROW][C]27[/C][C]0.001358[/C][C]0.0131[/C][C]0.494789[/C][/ROW]
[ROW][C]28[/C][C]-0.038616[/C][C]-0.3724[/C][C]0.355222[/C][/ROW]
[ROW][C]29[/C][C]0.090137[/C][C]0.8693[/C][C]0.193474[/C][/ROW]
[ROW][C]30[/C][C]-0.065821[/C][C]-0.6348[/C][C]0.263574[/C][/ROW]
[ROW][C]31[/C][C]0.002871[/C][C]0.0277[/C][C]0.488986[/C][/ROW]
[ROW][C]32[/C][C]0.032049[/C][C]0.3091[/C][C]0.378981[/C][/ROW]
[ROW][C]33[/C][C]-0.026735[/C][C]-0.2578[/C][C]0.398558[/C][/ROW]
[ROW][C]34[/C][C]-0.109587[/C][C]-1.0568[/C][C]0.146667[/C][/ROW]
[ROW][C]35[/C][C]0.03242[/C][C]0.3126[/C][C]0.377625[/C][/ROW]
[ROW][C]36[/C][C]0.150242[/C][C]1.4489[/C][C]0.075367[/C][/ROW]
[ROW][C]37[/C][C]0.015316[/C][C]0.1477[/C][C]0.441449[/C][/ROW]
[ROW][C]38[/C][C]-0.121383[/C][C]-1.1706[/C][C]0.122381[/C][/ROW]
[ROW][C]39[/C][C]0.009071[/C][C]0.0875[/C][C]0.465239[/C][/ROW]
[ROW][C]40[/C][C]0.021182[/C][C]0.2043[/C][C]0.419295[/C][/ROW]
[ROW][C]41[/C][C]0.033798[/C][C]0.3259[/C][C]0.372601[/C][/ROW]
[ROW][C]42[/C][C]-0.072588[/C][C]-0.7[/C][C]0.242832[/C][/ROW]
[ROW][C]43[/C][C]0.061209[/C][C]0.5903[/C][C]0.278217[/C][/ROW]
[ROW][C]44[/C][C]0.019252[/C][C]0.1857[/C][C]0.426557[/C][/ROW]
[ROW][C]45[/C][C]-0.084217[/C][C]-0.8122[/C][C]0.209388[/C][/ROW]
[ROW][C]46[/C][C]0.040595[/C][C]0.3915[/C][C]0.348169[/C][/ROW]
[ROW][C]47[/C][C]-0.085241[/C][C]-0.822[/C][C]0.20658[/C][/ROW]
[ROW][C]48[/C][C]0.150199[/C][C]1.4485[/C][C]0.075425[/C][/ROW]
[ROW][C]49[/C][C]0.057233[/C][C]0.5519[/C][C]0.29116[/C][/ROW]
[ROW][C]50[/C][C]-0.152653[/C][C]-1.4721[/C][C]0.072181[/C][/ROW]
[ROW][C]51[/C][C]0.011524[/C][C]0.1111[/C][C]0.455875[/C][/ROW]
[ROW][C]52[/C][C]0.054903[/C][C]0.5295[/C][C]0.298871[/C][/ROW]
[ROW][C]53[/C][C]-0.054453[/C][C]-0.5251[/C][C]0.300373[/C][/ROW]
[ROW][C]54[/C][C]0.039367[/C][C]0.3796[/C][C]0.352537[/C][/ROW]
[ROW][C]55[/C][C]-0.00125[/C][C]-0.0121[/C][C]0.495204[/C][/ROW]
[ROW][C]56[/C][C]-0.033877[/C][C]-0.3267[/C][C]0.372317[/C][/ROW]
[ROW][C]57[/C][C]-0.009286[/C][C]-0.0896[/C][C]0.464417[/C][/ROW]
[ROW][C]58[/C][C]0.022158[/C][C]0.2137[/C][C]0.415631[/C][/ROW]
[ROW][C]59[/C][C]-0.111339[/C][C]-1.0737[/C][C]0.142864[/C][/ROW]
[ROW][C]60[/C][C]0.170726[/C][C]1.6464[/C][C]0.051526[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=36145&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=36145&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
1-0.41004-3.95437.5e-05
2-0.23459-2.26230.013003
30.3228763.11370.001228
4-0.151274-1.45880.07399
5-0.122474-1.18110.120288
60.3019722.91210.002247
7-0.196804-1.89790.030405
8-0.038614-0.37240.35523
90.2015991.94410.02745
10-0.25491-2.45830.007906
11-0.128029-1.23470.110033
120.5493585.29780
13-0.261821-2.52490.006633
14-0.115843-1.11710.133405
150.1449931.39830.08268
16-0.132637-1.27910.102021
170.0339750.32760.371959
180.1205421.16250.124011
19-0.122825-1.18450.119621
200.0220560.21270.416013
210.0579840.55920.288692
22-0.200069-1.92940.028365
230.0737070.71080.239492
240.2018181.94630.027321
25-0.05434-0.5240.30075
26-0.059495-0.57370.283762
270.0013580.01310.494789
28-0.038616-0.37240.355222
290.0901370.86930.193474
30-0.065821-0.63480.263574
310.0028710.02770.488986
320.0320490.30910.378981
33-0.026735-0.25780.398558
34-0.109587-1.05680.146667
350.032420.31260.377625
360.1502421.44890.075367
370.0153160.14770.441449
38-0.121383-1.17060.122381
390.0090710.08750.465239
400.0211820.20430.419295
410.0337980.32590.372601
42-0.072588-0.70.242832
430.0612090.59030.278217
440.0192520.18570.426557
45-0.084217-0.81220.209388
460.0405950.39150.348169
47-0.085241-0.8220.20658
480.1501991.44850.075425
490.0572330.55190.29116
50-0.152653-1.47210.072181
510.0115240.11110.455875
520.0549030.52950.298871
53-0.054453-0.52510.300373
540.0393670.37960.352537
55-0.00125-0.01210.495204
56-0.033877-0.32670.372317
57-0.009286-0.08960.464417
580.0221580.21370.415631
59-0.111339-1.07370.142864
600.1707261.64640.051526







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
1-0.41004-3.95437.5e-05
2-0.484119-4.66875e-06
3-0.028876-0.27850.390635
4-0.12541-1.20940.114786
5-0.177864-1.71530.044814
60.1199281.15650.12521
7-0.0393-0.3790.352778
80.0064980.06270.475083
90.0792290.76410.223384
10-0.157514-1.5190.066076
11-0.385496-3.71760.000172
120.2562292.4710.007648
130.2227252.14790.017161
140.2102612.02770.022727
15-0.091355-0.8810.190296
16-0.159729-1.54040.063433
17-0.003174-0.03060.487824
18-0.064167-0.61880.26878
190.0242650.2340.407748
20-0.01923-0.18550.426639
21-0.044391-0.42810.334789
22-0.106414-1.02620.153726
230.0495110.47750.317073
24-0.042879-0.41350.340094
250.1565031.50930.067311
260.1183831.14160.128266
270.1000320.96470.168604
280.0575630.55510.290075
290.0329840.31810.375567
30-0.13575-1.30910.096859
31-0.141783-1.36730.087413
32-0.091319-0.88060.190389
330.063350.61090.271371
340.0842690.81270.209244
35-0.138588-1.33650.092325
360.0175280.1690.433067
370.0359570.34680.36478
380.0040740.03930.484371
390.0065910.06360.474728
400.0003950.00380.498485
410.0453090.43690.331582
42-0.029828-0.28770.387126
43-0.004457-0.0430.482905
440.0448890.43290.333045
45-0.060367-0.58220.280935
460.1504461.45080.075094
470.0464760.44820.327526
480.0512270.4940.311232
49-0.034989-0.33740.368281
50-0.069868-0.67380.251061
51-0.067116-0.64720.259534
52-0.085967-0.8290.204602
53-0.072431-0.69850.243303
540.0844430.81430.208766
550.035730.34460.365599
56-0.035696-0.34420.365723
57-0.021304-0.20540.418837
58-0.033886-0.32680.372282
590.0077790.0750.47018
600.0217340.20960.417221

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & -0.41004 & -3.9543 & 7.5e-05 \tabularnewline
2 & -0.484119 & -4.6687 & 5e-06 \tabularnewline
3 & -0.028876 & -0.2785 & 0.390635 \tabularnewline
4 & -0.12541 & -1.2094 & 0.114786 \tabularnewline
5 & -0.177864 & -1.7153 & 0.044814 \tabularnewline
6 & 0.119928 & 1.1565 & 0.12521 \tabularnewline
7 & -0.0393 & -0.379 & 0.352778 \tabularnewline
8 & 0.006498 & 0.0627 & 0.475083 \tabularnewline
9 & 0.079229 & 0.7641 & 0.223384 \tabularnewline
10 & -0.157514 & -1.519 & 0.066076 \tabularnewline
11 & -0.385496 & -3.7176 & 0.000172 \tabularnewline
12 & 0.256229 & 2.471 & 0.007648 \tabularnewline
13 & 0.222725 & 2.1479 & 0.017161 \tabularnewline
14 & 0.210261 & 2.0277 & 0.022727 \tabularnewline
15 & -0.091355 & -0.881 & 0.190296 \tabularnewline
16 & -0.159729 & -1.5404 & 0.063433 \tabularnewline
17 & -0.003174 & -0.0306 & 0.487824 \tabularnewline
18 & -0.064167 & -0.6188 & 0.26878 \tabularnewline
19 & 0.024265 & 0.234 & 0.407748 \tabularnewline
20 & -0.01923 & -0.1855 & 0.426639 \tabularnewline
21 & -0.044391 & -0.4281 & 0.334789 \tabularnewline
22 & -0.106414 & -1.0262 & 0.153726 \tabularnewline
23 & 0.049511 & 0.4775 & 0.317073 \tabularnewline
24 & -0.042879 & -0.4135 & 0.340094 \tabularnewline
25 & 0.156503 & 1.5093 & 0.067311 \tabularnewline
26 & 0.118383 & 1.1416 & 0.128266 \tabularnewline
27 & 0.100032 & 0.9647 & 0.168604 \tabularnewline
28 & 0.057563 & 0.5551 & 0.290075 \tabularnewline
29 & 0.032984 & 0.3181 & 0.375567 \tabularnewline
30 & -0.13575 & -1.3091 & 0.096859 \tabularnewline
31 & -0.141783 & -1.3673 & 0.087413 \tabularnewline
32 & -0.091319 & -0.8806 & 0.190389 \tabularnewline
33 & 0.06335 & 0.6109 & 0.271371 \tabularnewline
34 & 0.084269 & 0.8127 & 0.209244 \tabularnewline
35 & -0.138588 & -1.3365 & 0.092325 \tabularnewline
36 & 0.017528 & 0.169 & 0.433067 \tabularnewline
37 & 0.035957 & 0.3468 & 0.36478 \tabularnewline
38 & 0.004074 & 0.0393 & 0.484371 \tabularnewline
39 & 0.006591 & 0.0636 & 0.474728 \tabularnewline
40 & 0.000395 & 0.0038 & 0.498485 \tabularnewline
41 & 0.045309 & 0.4369 & 0.331582 \tabularnewline
42 & -0.029828 & -0.2877 & 0.387126 \tabularnewline
43 & -0.004457 & -0.043 & 0.482905 \tabularnewline
44 & 0.044889 & 0.4329 & 0.333045 \tabularnewline
45 & -0.060367 & -0.5822 & 0.280935 \tabularnewline
46 & 0.150446 & 1.4508 & 0.075094 \tabularnewline
47 & 0.046476 & 0.4482 & 0.327526 \tabularnewline
48 & 0.051227 & 0.494 & 0.311232 \tabularnewline
49 & -0.034989 & -0.3374 & 0.368281 \tabularnewline
50 & -0.069868 & -0.6738 & 0.251061 \tabularnewline
51 & -0.067116 & -0.6472 & 0.259534 \tabularnewline
52 & -0.085967 & -0.829 & 0.204602 \tabularnewline
53 & -0.072431 & -0.6985 & 0.243303 \tabularnewline
54 & 0.084443 & 0.8143 & 0.208766 \tabularnewline
55 & 0.03573 & 0.3446 & 0.365599 \tabularnewline
56 & -0.035696 & -0.3442 & 0.365723 \tabularnewline
57 & -0.021304 & -0.2054 & 0.418837 \tabularnewline
58 & -0.033886 & -0.3268 & 0.372282 \tabularnewline
59 & 0.007779 & 0.075 & 0.47018 \tabularnewline
60 & 0.021734 & 0.2096 & 0.417221 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=36145&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]-0.41004[/C][C]-3.9543[/C][C]7.5e-05[/C][/ROW]
[ROW][C]2[/C][C]-0.484119[/C][C]-4.6687[/C][C]5e-06[/C][/ROW]
[ROW][C]3[/C][C]-0.028876[/C][C]-0.2785[/C][C]0.390635[/C][/ROW]
[ROW][C]4[/C][C]-0.12541[/C][C]-1.2094[/C][C]0.114786[/C][/ROW]
[ROW][C]5[/C][C]-0.177864[/C][C]-1.7153[/C][C]0.044814[/C][/ROW]
[ROW][C]6[/C][C]0.119928[/C][C]1.1565[/C][C]0.12521[/C][/ROW]
[ROW][C]7[/C][C]-0.0393[/C][C]-0.379[/C][C]0.352778[/C][/ROW]
[ROW][C]8[/C][C]0.006498[/C][C]0.0627[/C][C]0.475083[/C][/ROW]
[ROW][C]9[/C][C]0.079229[/C][C]0.7641[/C][C]0.223384[/C][/ROW]
[ROW][C]10[/C][C]-0.157514[/C][C]-1.519[/C][C]0.066076[/C][/ROW]
[ROW][C]11[/C][C]-0.385496[/C][C]-3.7176[/C][C]0.000172[/C][/ROW]
[ROW][C]12[/C][C]0.256229[/C][C]2.471[/C][C]0.007648[/C][/ROW]
[ROW][C]13[/C][C]0.222725[/C][C]2.1479[/C][C]0.017161[/C][/ROW]
[ROW][C]14[/C][C]0.210261[/C][C]2.0277[/C][C]0.022727[/C][/ROW]
[ROW][C]15[/C][C]-0.091355[/C][C]-0.881[/C][C]0.190296[/C][/ROW]
[ROW][C]16[/C][C]-0.159729[/C][C]-1.5404[/C][C]0.063433[/C][/ROW]
[ROW][C]17[/C][C]-0.003174[/C][C]-0.0306[/C][C]0.487824[/C][/ROW]
[ROW][C]18[/C][C]-0.064167[/C][C]-0.6188[/C][C]0.26878[/C][/ROW]
[ROW][C]19[/C][C]0.024265[/C][C]0.234[/C][C]0.407748[/C][/ROW]
[ROW][C]20[/C][C]-0.01923[/C][C]-0.1855[/C][C]0.426639[/C][/ROW]
[ROW][C]21[/C][C]-0.044391[/C][C]-0.4281[/C][C]0.334789[/C][/ROW]
[ROW][C]22[/C][C]-0.106414[/C][C]-1.0262[/C][C]0.153726[/C][/ROW]
[ROW][C]23[/C][C]0.049511[/C][C]0.4775[/C][C]0.317073[/C][/ROW]
[ROW][C]24[/C][C]-0.042879[/C][C]-0.4135[/C][C]0.340094[/C][/ROW]
[ROW][C]25[/C][C]0.156503[/C][C]1.5093[/C][C]0.067311[/C][/ROW]
[ROW][C]26[/C][C]0.118383[/C][C]1.1416[/C][C]0.128266[/C][/ROW]
[ROW][C]27[/C][C]0.100032[/C][C]0.9647[/C][C]0.168604[/C][/ROW]
[ROW][C]28[/C][C]0.057563[/C][C]0.5551[/C][C]0.290075[/C][/ROW]
[ROW][C]29[/C][C]0.032984[/C][C]0.3181[/C][C]0.375567[/C][/ROW]
[ROW][C]30[/C][C]-0.13575[/C][C]-1.3091[/C][C]0.096859[/C][/ROW]
[ROW][C]31[/C][C]-0.141783[/C][C]-1.3673[/C][C]0.087413[/C][/ROW]
[ROW][C]32[/C][C]-0.091319[/C][C]-0.8806[/C][C]0.190389[/C][/ROW]
[ROW][C]33[/C][C]0.06335[/C][C]0.6109[/C][C]0.271371[/C][/ROW]
[ROW][C]34[/C][C]0.084269[/C][C]0.8127[/C][C]0.209244[/C][/ROW]
[ROW][C]35[/C][C]-0.138588[/C][C]-1.3365[/C][C]0.092325[/C][/ROW]
[ROW][C]36[/C][C]0.017528[/C][C]0.169[/C][C]0.433067[/C][/ROW]
[ROW][C]37[/C][C]0.035957[/C][C]0.3468[/C][C]0.36478[/C][/ROW]
[ROW][C]38[/C][C]0.004074[/C][C]0.0393[/C][C]0.484371[/C][/ROW]
[ROW][C]39[/C][C]0.006591[/C][C]0.0636[/C][C]0.474728[/C][/ROW]
[ROW][C]40[/C][C]0.000395[/C][C]0.0038[/C][C]0.498485[/C][/ROW]
[ROW][C]41[/C][C]0.045309[/C][C]0.4369[/C][C]0.331582[/C][/ROW]
[ROW][C]42[/C][C]-0.029828[/C][C]-0.2877[/C][C]0.387126[/C][/ROW]
[ROW][C]43[/C][C]-0.004457[/C][C]-0.043[/C][C]0.482905[/C][/ROW]
[ROW][C]44[/C][C]0.044889[/C][C]0.4329[/C][C]0.333045[/C][/ROW]
[ROW][C]45[/C][C]-0.060367[/C][C]-0.5822[/C][C]0.280935[/C][/ROW]
[ROW][C]46[/C][C]0.150446[/C][C]1.4508[/C][C]0.075094[/C][/ROW]
[ROW][C]47[/C][C]0.046476[/C][C]0.4482[/C][C]0.327526[/C][/ROW]
[ROW][C]48[/C][C]0.051227[/C][C]0.494[/C][C]0.311232[/C][/ROW]
[ROW][C]49[/C][C]-0.034989[/C][C]-0.3374[/C][C]0.368281[/C][/ROW]
[ROW][C]50[/C][C]-0.069868[/C][C]-0.6738[/C][C]0.251061[/C][/ROW]
[ROW][C]51[/C][C]-0.067116[/C][C]-0.6472[/C][C]0.259534[/C][/ROW]
[ROW][C]52[/C][C]-0.085967[/C][C]-0.829[/C][C]0.204602[/C][/ROW]
[ROW][C]53[/C][C]-0.072431[/C][C]-0.6985[/C][C]0.243303[/C][/ROW]
[ROW][C]54[/C][C]0.084443[/C][C]0.8143[/C][C]0.208766[/C][/ROW]
[ROW][C]55[/C][C]0.03573[/C][C]0.3446[/C][C]0.365599[/C][/ROW]
[ROW][C]56[/C][C]-0.035696[/C][C]-0.3442[/C][C]0.365723[/C][/ROW]
[ROW][C]57[/C][C]-0.021304[/C][C]-0.2054[/C][C]0.418837[/C][/ROW]
[ROW][C]58[/C][C]-0.033886[/C][C]-0.3268[/C][C]0.372282[/C][/ROW]
[ROW][C]59[/C][C]0.007779[/C][C]0.075[/C][C]0.47018[/C][/ROW]
[ROW][C]60[/C][C]0.021734[/C][C]0.2096[/C][C]0.417221[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=36145&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=36145&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
1-0.41004-3.95437.5e-05
2-0.484119-4.66875e-06
3-0.028876-0.27850.390635
4-0.12541-1.20940.114786
5-0.177864-1.71530.044814
60.1199281.15650.12521
7-0.0393-0.3790.352778
80.0064980.06270.475083
90.0792290.76410.223384
10-0.157514-1.5190.066076
11-0.385496-3.71760.000172
120.2562292.4710.007648
130.2227252.14790.017161
140.2102612.02770.022727
15-0.091355-0.8810.190296
16-0.159729-1.54040.063433
17-0.003174-0.03060.487824
18-0.064167-0.61880.26878
190.0242650.2340.407748
20-0.01923-0.18550.426639
21-0.044391-0.42810.334789
22-0.106414-1.02620.153726
230.0495110.47750.317073
24-0.042879-0.41350.340094
250.1565031.50930.067311
260.1183831.14160.128266
270.1000320.96470.168604
280.0575630.55510.290075
290.0329840.31810.375567
30-0.13575-1.30910.096859
31-0.141783-1.36730.087413
32-0.091319-0.88060.190389
330.063350.61090.271371
340.0842690.81270.209244
35-0.138588-1.33650.092325
360.0175280.1690.433067
370.0359570.34680.36478
380.0040740.03930.484371
390.0065910.06360.474728
400.0003950.00380.498485
410.0453090.43690.331582
42-0.029828-0.28770.387126
43-0.004457-0.0430.482905
440.0448890.43290.333045
45-0.060367-0.58220.280935
460.1504461.45080.075094
470.0464760.44820.327526
480.0512270.4940.311232
49-0.034989-0.33740.368281
50-0.069868-0.67380.251061
51-0.067116-0.64720.259534
52-0.085967-0.8290.204602
53-0.072431-0.69850.243303
540.0844430.81430.208766
550.035730.34460.365599
56-0.035696-0.34420.365723
57-0.021304-0.20540.418837
58-0.033886-0.32680.372282
590.0077790.0750.47018
600.0217340.20960.417221



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