## Free Statistics

of Irreproducible Research!

Author's title
Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationMon, 03 May 2010 18:11:43 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/May/03/t127291033982amavlniinfi6e.htm/, Retrieved Sat, 13 Aug 2022 10:02:51 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=75283, Retrieved Sat, 13 Aug 2022 10:02:51 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP2W21
Estimated Impact116
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Histogram] [Datareeks-Inschri...] [2010-02-08 14:03:15] [c656187b38b4f6e6948d94f8dfe6ded2]
- RMP   [Harrell-Davis Quantiles] [Datareeks-Opdrach...] [2010-03-08 17:35:01] [1f3241a8f2363a866734862cbbf73252]
- RMPD    [Mean Plot] [Opgave 6 oefening...] [2010-04-26 21:57:04] [1f3241a8f2363a866734862cbbf73252]
- RMPD      [(Partial) Autocorrelation Function] [Opgave 6 BIS oefe...] [2010-05-03 18:06:05] [1f3241a8f2363a866734862cbbf73252]
-   P           [(Partial) Autocorrelation Function] [Opgave 6 BIS oefe...] [2010-05-03 18:11:43] [8c87877ca0a068b5d9f0f8fa9cf6c0e7] [Current]
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Dataseries X:
41086
39690
43129
37863
35953
29133
24693
22205
21725
27192
21790
13253
37702
30364
32609
30212
29965
28352
25814
22414
20506
28806
22228
13971
36845
35338
35022
34777
26887
23970
22780
17351
21382
24561
17409
11514
31514
27071
29462
26105
22397
23843
21705
18089
20764
25316
17704
15548
28029
29383
36438
32034
22679
24319
18004
17537
20366
22782
19169
13807
29743
25591
29096
26482
22405
27044
17970
18730
19684
19785
18479
10698
31956
29506
34506
27165
26736
23691
18157
17328
18205
20995
17382
9367
31124
26551
30651
25859
25100
25778
20418
18688
20424
24776
19814
12738
31566
30111
30019
31934
25826
26835
20205
17789
20520
22518
15572
11509
25447
24090
27786
26195
20516
22759
19028
16971
20036
22485
18730
14538

 Summary of computational transaction Raw Input view raw input (R code) Raw Output view raw output of R engine Computing time 1 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 & 1 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=75283&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]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=75283&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=75283&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 Input view raw input (R code) Raw Output view raw output of R engine Computing time 1 seconds R Server 'Sir Ronald Aylmer Fisher' @ 193.190.124.24

 Autocorrelation Function Time lag k ACF(k) T-STAT P-value 1 0.470068 5.1493 1e-06 2 0.263449 2.8859 0.002314 3 0.137393 1.5051 0.067467 4 -0.048318 -0.5293 0.298789 5 -0.149293 -1.6354 0.052291 6 -0.277304 -3.0377 0.001463 7 -0.193611 -2.1209 0.017994 8 -0.097985 -1.0734 0.14263 9 0.028697 0.3144 0.376897 10 0.093056 1.0194 0.155036 11 0.272221 2.982 0.001734 12 0.72629 7.9561 0 13 0.293246 3.2123 0.000845 14 0.136823 1.4988 0.068274 15 0.046742 0.512 0.304785 16 -0.110833 -1.2141 0.113543 17 -0.160419 -1.7573 0.040708 18 -0.293747 -3.2178 0.000831 19 -0.216268 -2.3691 0.009714 20 -0.110613 -1.2117 0.114002 21 -0.006654 -0.0729 0.471008 22 0.078808 0.8633 0.194847 23 0.280276 3.0703 0.001323 24 0.662857 7.2612 0 25 0.302562 3.3144 0.000607 26 0.143736 1.5746 0.058996 27 0.025995 0.2848 0.388158 28 -0.122311 -1.3399 0.091412 29 -0.164519 -1.8022 0.037011 30 -0.301616 -3.304 0.000628 31 -0.217792 -2.3858 0.009303 32 -0.137046 -1.5013 0.067958 33 -0.075043 -0.8221 0.206337 34 0.008806 0.0965 0.461657 35 0.156957 1.7194 0.044062 36 0.479321 5.2507 0 37 0.191531 2.0981 0.018996 38 0.071024 0.778 0.219042 39 -0.019209 -0.2104 0.416849 40 -0.125756 -1.3776 0.085448 41 -0.161178 -1.7656 0.040002 42 -0.272441 -2.9844 0.001722 43 -0.190947 -2.0917 0.019286 44 -0.13345 -1.4619 0.073195 45 -0.071293 -0.781 0.218179 46 0.029729 0.3257 0.372623 47 0.160204 1.7549 0.04091 48 0.457571 5.0124 1e-06

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.470068 & 5.1493 & 1e-06 \tabularnewline
2 & 0.263449 & 2.8859 & 0.002314 \tabularnewline
3 & 0.137393 & 1.5051 & 0.067467 \tabularnewline
4 & -0.048318 & -0.5293 & 0.298789 \tabularnewline
5 & -0.149293 & -1.6354 & 0.052291 \tabularnewline
6 & -0.277304 & -3.0377 & 0.001463 \tabularnewline
7 & -0.193611 & -2.1209 & 0.017994 \tabularnewline
8 & -0.097985 & -1.0734 & 0.14263 \tabularnewline
9 & 0.028697 & 0.3144 & 0.376897 \tabularnewline
10 & 0.093056 & 1.0194 & 0.155036 \tabularnewline
11 & 0.272221 & 2.982 & 0.001734 \tabularnewline
12 & 0.72629 & 7.9561 & 0 \tabularnewline
13 & 0.293246 & 3.2123 & 0.000845 \tabularnewline
14 & 0.136823 & 1.4988 & 0.068274 \tabularnewline
15 & 0.046742 & 0.512 & 0.304785 \tabularnewline
16 & -0.110833 & -1.2141 & 0.113543 \tabularnewline
17 & -0.160419 & -1.7573 & 0.040708 \tabularnewline
18 & -0.293747 & -3.2178 & 0.000831 \tabularnewline
19 & -0.216268 & -2.3691 & 0.009714 \tabularnewline
20 & -0.110613 & -1.2117 & 0.114002 \tabularnewline
21 & -0.006654 & -0.0729 & 0.471008 \tabularnewline
22 & 0.078808 & 0.8633 & 0.194847 \tabularnewline
23 & 0.280276 & 3.0703 & 0.001323 \tabularnewline
24 & 0.662857 & 7.2612 & 0 \tabularnewline
25 & 0.302562 & 3.3144 & 0.000607 \tabularnewline
26 & 0.143736 & 1.5746 & 0.058996 \tabularnewline
27 & 0.025995 & 0.2848 & 0.388158 \tabularnewline
28 & -0.122311 & -1.3399 & 0.091412 \tabularnewline
29 & -0.164519 & -1.8022 & 0.037011 \tabularnewline
30 & -0.301616 & -3.304 & 0.000628 \tabularnewline
31 & -0.217792 & -2.3858 & 0.009303 \tabularnewline
32 & -0.137046 & -1.5013 & 0.067958 \tabularnewline
33 & -0.075043 & -0.8221 & 0.206337 \tabularnewline
34 & 0.008806 & 0.0965 & 0.461657 \tabularnewline
35 & 0.156957 & 1.7194 & 0.044062 \tabularnewline
36 & 0.479321 & 5.2507 & 0 \tabularnewline
37 & 0.191531 & 2.0981 & 0.018996 \tabularnewline
38 & 0.071024 & 0.778 & 0.219042 \tabularnewline
39 & -0.019209 & -0.2104 & 0.416849 \tabularnewline
40 & -0.125756 & -1.3776 & 0.085448 \tabularnewline
41 & -0.161178 & -1.7656 & 0.040002 \tabularnewline
42 & -0.272441 & -2.9844 & 0.001722 \tabularnewline
43 & -0.190947 & -2.0917 & 0.019286 \tabularnewline
44 & -0.13345 & -1.4619 & 0.073195 \tabularnewline
45 & -0.071293 & -0.781 & 0.218179 \tabularnewline
46 & 0.029729 & 0.3257 & 0.372623 \tabularnewline
47 & 0.160204 & 1.7549 & 0.04091 \tabularnewline
48 & 0.457571 & 5.0124 & 1e-06 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=75283&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]0.470068[/C][C]5.1493[/C][C]1e-06[/C][/ROW]
[ROW][C]2[/C][C]0.263449[/C][C]2.8859[/C][C]0.002314[/C][/ROW]
[ROW][C]3[/C][C]0.137393[/C][C]1.5051[/C][C]0.067467[/C][/ROW]
[ROW][C]4[/C][C]-0.048318[/C][C]-0.5293[/C][C]0.298789[/C][/ROW]
[ROW][C]5[/C][C]-0.149293[/C][C]-1.6354[/C][C]0.052291[/C][/ROW]
[ROW][C]6[/C][C]-0.277304[/C][C]-3.0377[/C][C]0.001463[/C][/ROW]
[ROW][C]7[/C][C]-0.193611[/C][C]-2.1209[/C][C]0.017994[/C][/ROW]
[ROW][C]8[/C][C]-0.097985[/C][C]-1.0734[/C][C]0.14263[/C][/ROW]
[ROW][C]9[/C][C]0.028697[/C][C]0.3144[/C][C]0.376897[/C][/ROW]
[ROW][C]10[/C][C]0.093056[/C][C]1.0194[/C][C]0.155036[/C][/ROW]
[ROW][C]11[/C][C]0.272221[/C][C]2.982[/C][C]0.001734[/C][/ROW]
[ROW][C]12[/C][C]0.72629[/C][C]7.9561[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]0.293246[/C][C]3.2123[/C][C]0.000845[/C][/ROW]
[ROW][C]14[/C][C]0.136823[/C][C]1.4988[/C][C]0.068274[/C][/ROW]
[ROW][C]15[/C][C]0.046742[/C][C]0.512[/C][C]0.304785[/C][/ROW]
[ROW][C]16[/C][C]-0.110833[/C][C]-1.2141[/C][C]0.113543[/C][/ROW]
[ROW][C]17[/C][C]-0.160419[/C][C]-1.7573[/C][C]0.040708[/C][/ROW]
[ROW][C]18[/C][C]-0.293747[/C][C]-3.2178[/C][C]0.000831[/C][/ROW]
[ROW][C]19[/C][C]-0.216268[/C][C]-2.3691[/C][C]0.009714[/C][/ROW]
[ROW][C]20[/C][C]-0.110613[/C][C]-1.2117[/C][C]0.114002[/C][/ROW]
[ROW][C]21[/C][C]-0.006654[/C][C]-0.0729[/C][C]0.471008[/C][/ROW]
[ROW][C]22[/C][C]0.078808[/C][C]0.8633[/C][C]0.194847[/C][/ROW]
[ROW][C]23[/C][C]0.280276[/C][C]3.0703[/C][C]0.001323[/C][/ROW]
[ROW][C]24[/C][C]0.662857[/C][C]7.2612[/C][C]0[/C][/ROW]
[ROW][C]25[/C][C]0.302562[/C][C]3.3144[/C][C]0.000607[/C][/ROW]
[ROW][C]26[/C][C]0.143736[/C][C]1.5746[/C][C]0.058996[/C][/ROW]
[ROW][C]27[/C][C]0.025995[/C][C]0.2848[/C][C]0.388158[/C][/ROW]
[ROW][C]28[/C][C]-0.122311[/C][C]-1.3399[/C][C]0.091412[/C][/ROW]
[ROW][C]29[/C][C]-0.164519[/C][C]-1.8022[/C][C]0.037011[/C][/ROW]
[ROW][C]30[/C][C]-0.301616[/C][C]-3.304[/C][C]0.000628[/C][/ROW]
[ROW][C]31[/C][C]-0.217792[/C][C]-2.3858[/C][C]0.009303[/C][/ROW]
[ROW][C]32[/C][C]-0.137046[/C][C]-1.5013[/C][C]0.067958[/C][/ROW]
[ROW][C]33[/C][C]-0.075043[/C][C]-0.8221[/C][C]0.206337[/C][/ROW]
[ROW][C]34[/C][C]0.008806[/C][C]0.0965[/C][C]0.461657[/C][/ROW]
[ROW][C]35[/C][C]0.156957[/C][C]1.7194[/C][C]0.044062[/C][/ROW]
[ROW][C]36[/C][C]0.479321[/C][C]5.2507[/C][C]0[/C][/ROW]
[ROW][C]37[/C][C]0.191531[/C][C]2.0981[/C][C]0.018996[/C][/ROW]
[ROW][C]38[/C][C]0.071024[/C][C]0.778[/C][C]0.219042[/C][/ROW]
[ROW][C]39[/C][C]-0.019209[/C][C]-0.2104[/C][C]0.416849[/C][/ROW]
[ROW][C]40[/C][C]-0.125756[/C][C]-1.3776[/C][C]0.085448[/C][/ROW]
[ROW][C]41[/C][C]-0.161178[/C][C]-1.7656[/C][C]0.040002[/C][/ROW]
[ROW][C]42[/C][C]-0.272441[/C][C]-2.9844[/C][C]0.001722[/C][/ROW]
[ROW][C]43[/C][C]-0.190947[/C][C]-2.0917[/C][C]0.019286[/C][/ROW]
[ROW][C]44[/C][C]-0.13345[/C][C]-1.4619[/C][C]0.073195[/C][/ROW]
[ROW][C]45[/C][C]-0.071293[/C][C]-0.781[/C][C]0.218179[/C][/ROW]
[ROW][C]46[/C][C]0.029729[/C][C]0.3257[/C][C]0.372623[/C][/ROW]
[ROW][C]47[/C][C]0.160204[/C][C]1.7549[/C][C]0.04091[/C][/ROW]
[ROW][C]48[/C][C]0.457571[/C][C]5.0124[/C][C]1e-06[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=75283&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=75283&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 k ACF(k) T-STAT P-value 1 0.470068 5.1493 1e-06 2 0.263449 2.8859 0.002314 3 0.137393 1.5051 0.067467 4 -0.048318 -0.5293 0.298789 5 -0.149293 -1.6354 0.052291 6 -0.277304 -3.0377 0.001463 7 -0.193611 -2.1209 0.017994 8 -0.097985 -1.0734 0.14263 9 0.028697 0.3144 0.376897 10 0.093056 1.0194 0.155036 11 0.272221 2.982 0.001734 12 0.72629 7.9561 0 13 0.293246 3.2123 0.000845 14 0.136823 1.4988 0.068274 15 0.046742 0.512 0.304785 16 -0.110833 -1.2141 0.113543 17 -0.160419 -1.7573 0.040708 18 -0.293747 -3.2178 0.000831 19 -0.216268 -2.3691 0.009714 20 -0.110613 -1.2117 0.114002 21 -0.006654 -0.0729 0.471008 22 0.078808 0.8633 0.194847 23 0.280276 3.0703 0.001323 24 0.662857 7.2612 0 25 0.302562 3.3144 0.000607 26 0.143736 1.5746 0.058996 27 0.025995 0.2848 0.388158 28 -0.122311 -1.3399 0.091412 29 -0.164519 -1.8022 0.037011 30 -0.301616 -3.304 0.000628 31 -0.217792 -2.3858 0.009303 32 -0.137046 -1.5013 0.067958 33 -0.075043 -0.8221 0.206337 34 0.008806 0.0965 0.461657 35 0.156957 1.7194 0.044062 36 0.479321 5.2507 0 37 0.191531 2.0981 0.018996 38 0.071024 0.778 0.219042 39 -0.019209 -0.2104 0.416849 40 -0.125756 -1.3776 0.085448 41 -0.161178 -1.7656 0.040002 42 -0.272441 -2.9844 0.001722 43 -0.190947 -2.0917 0.019286 44 -0.13345 -1.4619 0.073195 45 -0.071293 -0.781 0.218179 46 0.029729 0.3257 0.372623 47 0.160204 1.7549 0.04091 48 0.457571 5.0124 1e-06

 Partial Autocorrelation Function Time lag k PACF(k) T-STAT P-value 1 0.470068 5.1493 1e-06 2 0.054535 0.5974 0.275681 3 -0.006859 -0.0751 0.470116 4 -0.156277 -1.7119 0.044747 5 -0.105641 -1.1572 0.124737 6 -0.188293 -2.0627 0.020652 7 0.054636 0.5985 0.275316 8 0.055219 0.6049 0.273196 9 0.120016 1.3147 0.095557 10 0.013281 0.1455 0.442285 11 0.214316 2.3477 0.010263 12 0.673896 7.3822 0 13 -0.565816 -6.1982 0 14 -0.140631 -1.5405 0.063031 15 0.055179 0.6045 0.27334 16 0.033731 0.3695 0.356202 17 0.024152 0.2646 0.395895 18 -0.041503 -0.4546 0.325095 19 0.012037 0.1319 0.447658 20 -0.004244 -0.0465 0.481497 21 0.052111 0.5708 0.284586 22 0.225233 2.4673 0.007512 23 0.145916 1.5984 0.056289 24 -0.096455 -1.0566 0.146407 25 -0.046034 -0.5043 0.307496 26 -0.074444 -0.8155 0.208204 27 -0.093463 -1.0238 0.153986 28 0.071995 0.7887 0.215931 29 0.001054 0.0116 0.495402 30 0.011561 0.1266 0.449716 31 0.025062 0.2745 0.392071 32 -0.118795 -1.3013 0.097819 33 -0.025539 -0.2798 0.390071 34 0.025529 0.2797 0.390113 35 -0.205654 -2.2528 0.013044 36 0.014928 0.1635 0.435189 37 0.006702 0.0734 0.4708 38 0.057595 0.6309 0.264646 39 0.058896 0.6452 0.260023 40 -0.027087 -0.2967 0.383595 41 -0.056223 -0.6159 0.269566 42 0.066586 0.7294 0.233585 43 -0.063519 -0.6958 0.243945 44 0.020788 0.2277 0.410127 45 0.078097 0.8555 0.196988 46 -0.066364 -0.727 0.234326 47 0.043375 0.4752 0.317771 48 0.063401 0.6945 0.244347

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.470068 & 5.1493 & 1e-06 \tabularnewline
2 & 0.054535 & 0.5974 & 0.275681 \tabularnewline
3 & -0.006859 & -0.0751 & 0.470116 \tabularnewline
4 & -0.156277 & -1.7119 & 0.044747 \tabularnewline
5 & -0.105641 & -1.1572 & 0.124737 \tabularnewline
6 & -0.188293 & -2.0627 & 0.020652 \tabularnewline
7 & 0.054636 & 0.5985 & 0.275316 \tabularnewline
8 & 0.055219 & 0.6049 & 0.273196 \tabularnewline
9 & 0.120016 & 1.3147 & 0.095557 \tabularnewline
10 & 0.013281 & 0.1455 & 0.442285 \tabularnewline
11 & 0.214316 & 2.3477 & 0.010263 \tabularnewline
12 & 0.673896 & 7.3822 & 0 \tabularnewline
13 & -0.565816 & -6.1982 & 0 \tabularnewline
14 & -0.140631 & -1.5405 & 0.063031 \tabularnewline
15 & 0.055179 & 0.6045 & 0.27334 \tabularnewline
16 & 0.033731 & 0.3695 & 0.356202 \tabularnewline
17 & 0.024152 & 0.2646 & 0.395895 \tabularnewline
18 & -0.041503 & -0.4546 & 0.325095 \tabularnewline
19 & 0.012037 & 0.1319 & 0.447658 \tabularnewline
20 & -0.004244 & -0.0465 & 0.481497 \tabularnewline
21 & 0.052111 & 0.5708 & 0.284586 \tabularnewline
22 & 0.225233 & 2.4673 & 0.007512 \tabularnewline
23 & 0.145916 & 1.5984 & 0.056289 \tabularnewline
24 & -0.096455 & -1.0566 & 0.146407 \tabularnewline
25 & -0.046034 & -0.5043 & 0.307496 \tabularnewline
26 & -0.074444 & -0.8155 & 0.208204 \tabularnewline
27 & -0.093463 & -1.0238 & 0.153986 \tabularnewline
28 & 0.071995 & 0.7887 & 0.215931 \tabularnewline
29 & 0.001054 & 0.0116 & 0.495402 \tabularnewline
30 & 0.011561 & 0.1266 & 0.449716 \tabularnewline
31 & 0.025062 & 0.2745 & 0.392071 \tabularnewline
32 & -0.118795 & -1.3013 & 0.097819 \tabularnewline
33 & -0.025539 & -0.2798 & 0.390071 \tabularnewline
34 & 0.025529 & 0.2797 & 0.390113 \tabularnewline
35 & -0.205654 & -2.2528 & 0.013044 \tabularnewline
36 & 0.014928 & 0.1635 & 0.435189 \tabularnewline
37 & 0.006702 & 0.0734 & 0.4708 \tabularnewline
38 & 0.057595 & 0.6309 & 0.264646 \tabularnewline
39 & 0.058896 & 0.6452 & 0.260023 \tabularnewline
40 & -0.027087 & -0.2967 & 0.383595 \tabularnewline
41 & -0.056223 & -0.6159 & 0.269566 \tabularnewline
42 & 0.066586 & 0.7294 & 0.233585 \tabularnewline
43 & -0.063519 & -0.6958 & 0.243945 \tabularnewline
44 & 0.020788 & 0.2277 & 0.410127 \tabularnewline
45 & 0.078097 & 0.8555 & 0.196988 \tabularnewline
46 & -0.066364 & -0.727 & 0.234326 \tabularnewline
47 & 0.043375 & 0.4752 & 0.317771 \tabularnewline
48 & 0.063401 & 0.6945 & 0.244347 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=75283&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]0.470068[/C][C]5.1493[/C][C]1e-06[/C][/ROW]
[ROW][C]2[/C][C]0.054535[/C][C]0.5974[/C][C]0.275681[/C][/ROW]
[ROW][C]3[/C][C]-0.006859[/C][C]-0.0751[/C][C]0.470116[/C][/ROW]
[ROW][C]4[/C][C]-0.156277[/C][C]-1.7119[/C][C]0.044747[/C][/ROW]
[ROW][C]5[/C][C]-0.105641[/C][C]-1.1572[/C][C]0.124737[/C][/ROW]
[ROW][C]6[/C][C]-0.188293[/C][C]-2.0627[/C][C]0.020652[/C][/ROW]
[ROW][C]7[/C][C]0.054636[/C][C]0.5985[/C][C]0.275316[/C][/ROW]
[ROW][C]8[/C][C]0.055219[/C][C]0.6049[/C][C]0.273196[/C][/ROW]
[ROW][C]9[/C][C]0.120016[/C][C]1.3147[/C][C]0.095557[/C][/ROW]
[ROW][C]10[/C][C]0.013281[/C][C]0.1455[/C][C]0.442285[/C][/ROW]
[ROW][C]11[/C][C]0.214316[/C][C]2.3477[/C][C]0.010263[/C][/ROW]
[ROW][C]12[/C][C]0.673896[/C][C]7.3822[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]-0.565816[/C][C]-6.1982[/C][C]0[/C][/ROW]
[ROW][C]14[/C][C]-0.140631[/C][C]-1.5405[/C][C]0.063031[/C][/ROW]
[ROW][C]15[/C][C]0.055179[/C][C]0.6045[/C][C]0.27334[/C][/ROW]
[ROW][C]16[/C][C]0.033731[/C][C]0.3695[/C][C]0.356202[/C][/ROW]
[ROW][C]17[/C][C]0.024152[/C][C]0.2646[/C][C]0.395895[/C][/ROW]
[ROW][C]18[/C][C]-0.041503[/C][C]-0.4546[/C][C]0.325095[/C][/ROW]
[ROW][C]19[/C][C]0.012037[/C][C]0.1319[/C][C]0.447658[/C][/ROW]
[ROW][C]20[/C][C]-0.004244[/C][C]-0.0465[/C][C]0.481497[/C][/ROW]
[ROW][C]21[/C][C]0.052111[/C][C]0.5708[/C][C]0.284586[/C][/ROW]
[ROW][C]22[/C][C]0.225233[/C][C]2.4673[/C][C]0.007512[/C][/ROW]
[ROW][C]23[/C][C]0.145916[/C][C]1.5984[/C][C]0.056289[/C][/ROW]
[ROW][C]24[/C][C]-0.096455[/C][C]-1.0566[/C][C]0.146407[/C][/ROW]
[ROW][C]25[/C][C]-0.046034[/C][C]-0.5043[/C][C]0.307496[/C][/ROW]
[ROW][C]26[/C][C]-0.074444[/C][C]-0.8155[/C][C]0.208204[/C][/ROW]
[ROW][C]27[/C][C]-0.093463[/C][C]-1.0238[/C][C]0.153986[/C][/ROW]
[ROW][C]28[/C][C]0.071995[/C][C]0.7887[/C][C]0.215931[/C][/ROW]
[ROW][C]29[/C][C]0.001054[/C][C]0.0116[/C][C]0.495402[/C][/ROW]
[ROW][C]30[/C][C]0.011561[/C][C]0.1266[/C][C]0.449716[/C][/ROW]
[ROW][C]31[/C][C]0.025062[/C][C]0.2745[/C][C]0.392071[/C][/ROW]
[ROW][C]32[/C][C]-0.118795[/C][C]-1.3013[/C][C]0.097819[/C][/ROW]
[ROW][C]33[/C][C]-0.025539[/C][C]-0.2798[/C][C]0.390071[/C][/ROW]
[ROW][C]34[/C][C]0.025529[/C][C]0.2797[/C][C]0.390113[/C][/ROW]
[ROW][C]35[/C][C]-0.205654[/C][C]-2.2528[/C][C]0.013044[/C][/ROW]
[ROW][C]36[/C][C]0.014928[/C][C]0.1635[/C][C]0.435189[/C][/ROW]
[ROW][C]37[/C][C]0.006702[/C][C]0.0734[/C][C]0.4708[/C][/ROW]
[ROW][C]38[/C][C]0.057595[/C][C]0.6309[/C][C]0.264646[/C][/ROW]
[ROW][C]39[/C][C]0.058896[/C][C]0.6452[/C][C]0.260023[/C][/ROW]
[ROW][C]40[/C][C]-0.027087[/C][C]-0.2967[/C][C]0.383595[/C][/ROW]
[ROW][C]41[/C][C]-0.056223[/C][C]-0.6159[/C][C]0.269566[/C][/ROW]
[ROW][C]42[/C][C]0.066586[/C][C]0.7294[/C][C]0.233585[/C][/ROW]
[ROW][C]43[/C][C]-0.063519[/C][C]-0.6958[/C][C]0.243945[/C][/ROW]
[ROW][C]44[/C][C]0.020788[/C][C]0.2277[/C][C]0.410127[/C][/ROW]
[ROW][C]45[/C][C]0.078097[/C][C]0.8555[/C][C]0.196988[/C][/ROW]
[ROW][C]46[/C][C]-0.066364[/C][C]-0.727[/C][C]0.234326[/C][/ROW]
[ROW][C]47[/C][C]0.043375[/C][C]0.4752[/C][C]0.317771[/C][/ROW]
[ROW][C]48[/C][C]0.063401[/C][C]0.6945[/C][C]0.244347[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=75283&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=75283&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 k PACF(k) T-STAT P-value 1 0.470068 5.1493 1e-06 2 0.054535 0.5974 0.275681 3 -0.006859 -0.0751 0.470116 4 -0.156277 -1.7119 0.044747 5 -0.105641 -1.1572 0.124737 6 -0.188293 -2.0627 0.020652 7 0.054636 0.5985 0.275316 8 0.055219 0.6049 0.273196 9 0.120016 1.3147 0.095557 10 0.013281 0.1455 0.442285 11 0.214316 2.3477 0.010263 12 0.673896 7.3822 0 13 -0.565816 -6.1982 0 14 -0.140631 -1.5405 0.063031 15 0.055179 0.6045 0.27334 16 0.033731 0.3695 0.356202 17 0.024152 0.2646 0.395895 18 -0.041503 -0.4546 0.325095 19 0.012037 0.1319 0.447658 20 -0.004244 -0.0465 0.481497 21 0.052111 0.5708 0.284586 22 0.225233 2.4673 0.007512 23 0.145916 1.5984 0.056289 24 -0.096455 -1.0566 0.146407 25 -0.046034 -0.5043 0.307496 26 -0.074444 -0.8155 0.208204 27 -0.093463 -1.0238 0.153986 28 0.071995 0.7887 0.215931 29 0.001054 0.0116 0.495402 30 0.011561 0.1266 0.449716 31 0.025062 0.2745 0.392071 32 -0.118795 -1.3013 0.097819 33 -0.025539 -0.2798 0.390071 34 0.025529 0.2797 0.390113 35 -0.205654 -2.2528 0.013044 36 0.014928 0.1635 0.435189 37 0.006702 0.0734 0.4708 38 0.057595 0.6309 0.264646 39 0.058896 0.6452 0.260023 40 -0.027087 -0.2967 0.383595 41 -0.056223 -0.6159 0.269566 42 0.066586 0.7294 0.233585 43 -0.063519 -0.6958 0.243945 44 0.020788 0.2277 0.410127 45 0.078097 0.8555 0.196988 46 -0.066364 -0.727 0.234326 47 0.043375 0.4752 0.317771 48 0.063401 0.6945 0.244347

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 (par6 == 'White Noise') par6 <- 'white' else par6 <- 'ma'par7 <- as.numeric(par7)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='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep=''))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]*sqrtna<-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]*sqrtna<-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')