## 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 computationSun, 30 Dec 2012 12:04:14 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/Dec/30/t1356888739a2a85tv0jn3st7t.htm/, Retrieved Tue, 28 Nov 2023 23:22:50 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=204956, Retrieved Tue, 28 Nov 2023 23:22:50 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact126
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [Gemiddelde prijs ...] [2012-12-30 17:04:14] [5ebf8d45d440e2351c3182f635b9c69f] [Current]
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Dataseries X:
434,49
434,43
434,07
434,52
433,52
433,52
433,52
433,26
433,63
434,67
432,87
432,49
432,5
430,88
431,64
433,7
434,47
434,38
434,9
435,3
435,37
436,61
436,08
436,08
436,08
435,99
437,72
438,73
437,7
438,13
438,13
438,31
439,67
442
442,61
442,27
442,27
443,72
443,83
444,01
445,01
444,9
444,86
445,36
447,99
449,08
448,66
447,65
447,69
448,17
450,62
450,38
449,18
448,73
448,73
449,55
449,71
449,93
452,23
452,98
452,88
452,37
452,76
452,96
455,21
453,6
453,6
453,86
454,21
454,62
456,28
456,17



 Summary of computational transaction Raw Input view raw input (R code) Raw Output view raw output of R engine Computing time 3 seconds R Server 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net R Framework error message Warning: there are blank lines in the 'Data' field. Please, use NA for missing data - blank lines are simply deleted and are NOT treated as missing values.

\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 & 3 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
R Framework error message & Warning: there are blank lines in the 'Data' field.
Please, use NA for missing data - blank lines are simply
deleted and are NOT treated as missing values. \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=204956&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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[ROW][C]R Framework error message[/C][C]Warning: there are blank lines in the 'Data' field.
Please, use NA for missing data - blank lines are simply
deleted and are NOT treated as missing values.[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=204956&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=204956&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 3 seconds R Server 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net R Framework error message Warning: there are blank lines in the 'Data' field. Please, use NA for missing data - blank lines are simply deleted and are NOT treated as missing values.

 Autocorrelation Function Time lag k ACF(k) T-STAT P-value 1 0.964262 8.182 0 2 0.925752 7.8553 0 3 0.893496 7.5816 0 4 0.863629 7.3281 0 5 0.832465 7.0637 0 6 0.80042 6.7918 0 7 0.762487 6.4699 0 8 0.71792 6.0918 0 9 0.680031 5.7703 0 10 0.644344 5.4674 0 11 0.605671 5.1393 1e-06 12 0.561909 4.768 5e-06 13 0.514484 4.3655 2.1e-05 14 0.464615 3.9424 9.3e-05 15 0.420741 3.5701 0.00032 16 0.381291 3.2354 0.000918 17 0.344482 2.923 0.002315 18 0.308086 2.6142 0.005442 19 0.267522 2.27 0.013101 20 0.225072 1.9098 0.030071 21 0.179095 1.5197 0.066486 22 0.13514 1.1467 0.127651 23 0.098001 0.8316 0.204202 24 0.061449 0.5214 0.301841 25 0.022011 0.1868 0.426182 26 -0.02315 -0.1964 0.422411 27 -0.068032 -0.5773 0.28278 28 -0.107363 -0.911 0.182666 29 -0.140525 -1.1924 0.118511 30 -0.173584 -1.4729 0.072566 31 -0.207968 -1.7647 0.04093 32 -0.243048 -2.0623 0.021393 33 -0.272686 -2.3138 0.011768 34 -0.296932 -2.5195 0.006985 35 -0.319658 -2.7124 0.004175 36 -0.340153 -2.8863 0.002571 37 -0.361013 -3.0633 0.001539 38 -0.381605 -3.238 0.000911 39 -0.400622 -3.3994 0.000552 40 -0.411768 -3.494 0.000409 41 -0.416341 -3.5328 0.000361 42 -0.421979 -3.5806 0.000309 43 -0.428102 -3.6326 0.000261 44 -0.434329 -3.6854 0.00022 45 -0.439336 -3.7279 0.000191 46 -0.438151 -3.7178 0.000197 47 -0.431833 -3.6642 0.000235 48 -0.427743 -3.6295 0.000264

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.964262 & 8.182 & 0 \tabularnewline
2 & 0.925752 & 7.8553 & 0 \tabularnewline
3 & 0.893496 & 7.5816 & 0 \tabularnewline
4 & 0.863629 & 7.3281 & 0 \tabularnewline
5 & 0.832465 & 7.0637 & 0 \tabularnewline
6 & 0.80042 & 6.7918 & 0 \tabularnewline
7 & 0.762487 & 6.4699 & 0 \tabularnewline
8 & 0.71792 & 6.0918 & 0 \tabularnewline
9 & 0.680031 & 5.7703 & 0 \tabularnewline
10 & 0.644344 & 5.4674 & 0 \tabularnewline
11 & 0.605671 & 5.1393 & 1e-06 \tabularnewline
12 & 0.561909 & 4.768 & 5e-06 \tabularnewline
13 & 0.514484 & 4.3655 & 2.1e-05 \tabularnewline
14 & 0.464615 & 3.9424 & 9.3e-05 \tabularnewline
15 & 0.420741 & 3.5701 & 0.00032 \tabularnewline
16 & 0.381291 & 3.2354 & 0.000918 \tabularnewline
17 & 0.344482 & 2.923 & 0.002315 \tabularnewline
18 & 0.308086 & 2.6142 & 0.005442 \tabularnewline
19 & 0.267522 & 2.27 & 0.013101 \tabularnewline
20 & 0.225072 & 1.9098 & 0.030071 \tabularnewline
21 & 0.179095 & 1.5197 & 0.066486 \tabularnewline
22 & 0.13514 & 1.1467 & 0.127651 \tabularnewline
23 & 0.098001 & 0.8316 & 0.204202 \tabularnewline
24 & 0.061449 & 0.5214 & 0.301841 \tabularnewline
25 & 0.022011 & 0.1868 & 0.426182 \tabularnewline
26 & -0.02315 & -0.1964 & 0.422411 \tabularnewline
27 & -0.068032 & -0.5773 & 0.28278 \tabularnewline
28 & -0.107363 & -0.911 & 0.182666 \tabularnewline
29 & -0.140525 & -1.1924 & 0.118511 \tabularnewline
30 & -0.173584 & -1.4729 & 0.072566 \tabularnewline
31 & -0.207968 & -1.7647 & 0.04093 \tabularnewline
32 & -0.243048 & -2.0623 & 0.021393 \tabularnewline
33 & -0.272686 & -2.3138 & 0.011768 \tabularnewline
34 & -0.296932 & -2.5195 & 0.006985 \tabularnewline
35 & -0.319658 & -2.7124 & 0.004175 \tabularnewline
36 & -0.340153 & -2.8863 & 0.002571 \tabularnewline
37 & -0.361013 & -3.0633 & 0.001539 \tabularnewline
38 & -0.381605 & -3.238 & 0.000911 \tabularnewline
39 & -0.400622 & -3.3994 & 0.000552 \tabularnewline
40 & -0.411768 & -3.494 & 0.000409 \tabularnewline
41 & -0.416341 & -3.5328 & 0.000361 \tabularnewline
42 & -0.421979 & -3.5806 & 0.000309 \tabularnewline
43 & -0.428102 & -3.6326 & 0.000261 \tabularnewline
44 & -0.434329 & -3.6854 & 0.00022 \tabularnewline
45 & -0.439336 & -3.7279 & 0.000191 \tabularnewline
46 & -0.438151 & -3.7178 & 0.000197 \tabularnewline
47 & -0.431833 & -3.6642 & 0.000235 \tabularnewline
48 & -0.427743 & -3.6295 & 0.000264 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=204956&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]0.964262[/C][C]8.182[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.925752[/C][C]7.8553[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.893496[/C][C]7.5816[/C][C]0[/C][/ROW]
[ROW][C]4[/C][C]0.863629[/C][C]7.3281[/C][C]0[/C][/ROW]
[ROW][C]5[/C][C]0.832465[/C][C]7.0637[/C][C]0[/C][/ROW]
[ROW][C]6[/C][C]0.80042[/C][C]6.7918[/C][C]0[/C][/ROW]
[ROW][C]7[/C][C]0.762487[/C][C]6.4699[/C][C]0[/C][/ROW]
[ROW][C]8[/C][C]0.71792[/C][C]6.0918[/C][C]0[/C][/ROW]
[ROW][C]9[/C][C]0.680031[/C][C]5.7703[/C][C]0[/C][/ROW]
[ROW][C]10[/C][C]0.644344[/C][C]5.4674[/C][C]0[/C][/ROW]
[ROW][C]11[/C][C]0.605671[/C][C]5.1393[/C][C]1e-06[/C][/ROW]
[ROW][C]12[/C][C]0.561909[/C][C]4.768[/C][C]5e-06[/C][/ROW]
[ROW][C]13[/C][C]0.514484[/C][C]4.3655[/C][C]2.1e-05[/C][/ROW]
[ROW][C]14[/C][C]0.464615[/C][C]3.9424[/C][C]9.3e-05[/C][/ROW]
[ROW][C]15[/C][C]0.420741[/C][C]3.5701[/C][C]0.00032[/C][/ROW]
[ROW][C]16[/C][C]0.381291[/C][C]3.2354[/C][C]0.000918[/C][/ROW]
[ROW][C]17[/C][C]0.344482[/C][C]2.923[/C][C]0.002315[/C][/ROW]
[ROW][C]18[/C][C]0.308086[/C][C]2.6142[/C][C]0.005442[/C][/ROW]
[ROW][C]19[/C][C]0.267522[/C][C]2.27[/C][C]0.013101[/C][/ROW]
[ROW][C]20[/C][C]0.225072[/C][C]1.9098[/C][C]0.030071[/C][/ROW]
[ROW][C]21[/C][C]0.179095[/C][C]1.5197[/C][C]0.066486[/C][/ROW]
[ROW][C]22[/C][C]0.13514[/C][C]1.1467[/C][C]0.127651[/C][/ROW]
[ROW][C]23[/C][C]0.098001[/C][C]0.8316[/C][C]0.204202[/C][/ROW]
[ROW][C]24[/C][C]0.061449[/C][C]0.5214[/C][C]0.301841[/C][/ROW]
[ROW][C]25[/C][C]0.022011[/C][C]0.1868[/C][C]0.426182[/C][/ROW]
[ROW][C]26[/C][C]-0.02315[/C][C]-0.1964[/C][C]0.422411[/C][/ROW]
[ROW][C]27[/C][C]-0.068032[/C][C]-0.5773[/C][C]0.28278[/C][/ROW]
[ROW][C]28[/C][C]-0.107363[/C][C]-0.911[/C][C]0.182666[/C][/ROW]
[ROW][C]29[/C][C]-0.140525[/C][C]-1.1924[/C][C]0.118511[/C][/ROW]
[ROW][C]30[/C][C]-0.173584[/C][C]-1.4729[/C][C]0.072566[/C][/ROW]
[ROW][C]31[/C][C]-0.207968[/C][C]-1.7647[/C][C]0.04093[/C][/ROW]
[ROW][C]32[/C][C]-0.243048[/C][C]-2.0623[/C][C]0.021393[/C][/ROW]
[ROW][C]33[/C][C]-0.272686[/C][C]-2.3138[/C][C]0.011768[/C][/ROW]
[ROW][C]34[/C][C]-0.296932[/C][C]-2.5195[/C][C]0.006985[/C][/ROW]
[ROW][C]35[/C][C]-0.319658[/C][C]-2.7124[/C][C]0.004175[/C][/ROW]
[ROW][C]36[/C][C]-0.340153[/C][C]-2.8863[/C][C]0.002571[/C][/ROW]
[ROW][C]37[/C][C]-0.361013[/C][C]-3.0633[/C][C]0.001539[/C][/ROW]
[ROW][C]38[/C][C]-0.381605[/C][C]-3.238[/C][C]0.000911[/C][/ROW]
[ROW][C]39[/C][C]-0.400622[/C][C]-3.3994[/C][C]0.000552[/C][/ROW]
[ROW][C]40[/C][C]-0.411768[/C][C]-3.494[/C][C]0.000409[/C][/ROW]
[ROW][C]41[/C][C]-0.416341[/C][C]-3.5328[/C][C]0.000361[/C][/ROW]
[ROW][C]42[/C][C]-0.421979[/C][C]-3.5806[/C][C]0.000309[/C][/ROW]
[ROW][C]43[/C][C]-0.428102[/C][C]-3.6326[/C][C]0.000261[/C][/ROW]
[ROW][C]44[/C][C]-0.434329[/C][C]-3.6854[/C][C]0.00022[/C][/ROW]
[ROW][C]45[/C][C]-0.439336[/C][C]-3.7279[/C][C]0.000191[/C][/ROW]
[ROW][C]46[/C][C]-0.438151[/C][C]-3.7178[/C][C]0.000197[/C][/ROW]
[ROW][C]47[/C][C]-0.431833[/C][C]-3.6642[/C][C]0.000235[/C][/ROW]
[ROW][C]48[/C][C]-0.427743[/C][C]-3.6295[/C][C]0.000264[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=204956&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=204956&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 0.964262 8.182 0 2 0.925752 7.8553 0 3 0.893496 7.5816 0 4 0.863629 7.3281 0 5 0.832465 7.0637 0 6 0.80042 6.7918 0 7 0.762487 6.4699 0 8 0.71792 6.0918 0 9 0.680031 5.7703 0 10 0.644344 5.4674 0 11 0.605671 5.1393 1e-06 12 0.561909 4.768 5e-06 13 0.514484 4.3655 2.1e-05 14 0.464615 3.9424 9.3e-05 15 0.420741 3.5701 0.00032 16 0.381291 3.2354 0.000918 17 0.344482 2.923 0.002315 18 0.308086 2.6142 0.005442 19 0.267522 2.27 0.013101 20 0.225072 1.9098 0.030071 21 0.179095 1.5197 0.066486 22 0.13514 1.1467 0.127651 23 0.098001 0.8316 0.204202 24 0.061449 0.5214 0.301841 25 0.022011 0.1868 0.426182 26 -0.02315 -0.1964 0.422411 27 -0.068032 -0.5773 0.28278 28 -0.107363 -0.911 0.182666 29 -0.140525 -1.1924 0.118511 30 -0.173584 -1.4729 0.072566 31 -0.207968 -1.7647 0.04093 32 -0.243048 -2.0623 0.021393 33 -0.272686 -2.3138 0.011768 34 -0.296932 -2.5195 0.006985 35 -0.319658 -2.7124 0.004175 36 -0.340153 -2.8863 0.002571 37 -0.361013 -3.0633 0.001539 38 -0.381605 -3.238 0.000911 39 -0.400622 -3.3994 0.000552 40 -0.411768 -3.494 0.000409 41 -0.416341 -3.5328 0.000361 42 -0.421979 -3.5806 0.000309 43 -0.428102 -3.6326 0.000261 44 -0.434329 -3.6854 0.00022 45 -0.439336 -3.7279 0.000191 46 -0.438151 -3.7178 0.000197 47 -0.431833 -3.6642 0.000235 48 -0.427743 -3.6295 0.000264

 Partial Autocorrelation Function Time lag k PACF(k) T-STAT P-value 1 0.964262 8.182 0 2 -0.057665 -0.4893 0.313056 3 0.070855 0.6012 0.27479 4 0.009917 0.0842 0.466585 5 -0.029603 -0.2512 0.401191 6 -0.02314 -0.1963 0.422445 7 -0.103489 -0.8781 0.191396 8 -0.113574 -0.9637 0.169209 9 0.063547 0.5392 0.295702 10 -0.018357 -0.1558 0.438328 11 -0.054604 -0.4633 0.322261 12 -0.083045 -0.7047 0.241649 13 -0.078994 -0.6703 0.252411 14 -0.065708 -0.5576 0.28944 15 0.04053 0.3439 0.365958 16 0.00337 0.0286 0.488635 17 0.030949 0.2626 0.396802 18 0.009321 0.0791 0.468591 19 -0.071221 -0.6043 0.273763 20 -0.051849 -0.44 0.330644 21 -0.110083 -0.9341 0.17669 22 -0.03847 -0.3264 0.372525 23 0.060525 0.5136 0.304562 24 -0.020938 -0.1777 0.429743 25 -0.045859 -0.3891 0.349167 26 -0.11229 -0.9528 0.171936 27 -0.062846 -0.5333 0.297746 28 0.00783 0.0664 0.473606 29 0.020137 0.1709 0.432403 30 -0.032555 -0.2762 0.391579 31 -0.004011 -0.034 0.486472 32 -0.015761 -0.1337 0.446992 33 0.038118 0.3234 0.37365 34 0.000896 0.0076 0.496978 35 -0.055879 -0.4742 0.318413 36 0.002311 0.0196 0.492205 37 -0.003468 -0.0294 0.488301 38 -0.015455 -0.1311 0.448016 39 -0.018124 -0.1538 0.439104 40 0.037506 0.3183 0.375608 41 0.044767 0.3799 0.352584 42 -0.03345 -0.2838 0.388677 43 -0.032543 -0.2761 0.391618 44 -0.030066 -0.2551 0.39968 45 -0.006083 -0.0516 0.47949 46 0.057139 0.4848 0.31463 47 0.027972 0.2373 0.40653 48 -0.058457 -0.496 0.310693

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.964262 & 8.182 & 0 \tabularnewline
2 & -0.057665 & -0.4893 & 0.313056 \tabularnewline
3 & 0.070855 & 0.6012 & 0.27479 \tabularnewline
4 & 0.009917 & 0.0842 & 0.466585 \tabularnewline
5 & -0.029603 & -0.2512 & 0.401191 \tabularnewline
6 & -0.02314 & -0.1963 & 0.422445 \tabularnewline
7 & -0.103489 & -0.8781 & 0.191396 \tabularnewline
8 & -0.113574 & -0.9637 & 0.169209 \tabularnewline
9 & 0.063547 & 0.5392 & 0.295702 \tabularnewline
10 & -0.018357 & -0.1558 & 0.438328 \tabularnewline
11 & -0.054604 & -0.4633 & 0.322261 \tabularnewline
12 & -0.083045 & -0.7047 & 0.241649 \tabularnewline
13 & -0.078994 & -0.6703 & 0.252411 \tabularnewline
14 & -0.065708 & -0.5576 & 0.28944 \tabularnewline
15 & 0.04053 & 0.3439 & 0.365958 \tabularnewline
16 & 0.00337 & 0.0286 & 0.488635 \tabularnewline
17 & 0.030949 & 0.2626 & 0.396802 \tabularnewline
18 & 0.009321 & 0.0791 & 0.468591 \tabularnewline
19 & -0.071221 & -0.6043 & 0.273763 \tabularnewline
20 & -0.051849 & -0.44 & 0.330644 \tabularnewline
21 & -0.110083 & -0.9341 & 0.17669 \tabularnewline
22 & -0.03847 & -0.3264 & 0.372525 \tabularnewline
23 & 0.060525 & 0.5136 & 0.304562 \tabularnewline
24 & -0.020938 & -0.1777 & 0.429743 \tabularnewline
25 & -0.045859 & -0.3891 & 0.349167 \tabularnewline
26 & -0.11229 & -0.9528 & 0.171936 \tabularnewline
27 & -0.062846 & -0.5333 & 0.297746 \tabularnewline
28 & 0.00783 & 0.0664 & 0.473606 \tabularnewline
29 & 0.020137 & 0.1709 & 0.432403 \tabularnewline
30 & -0.032555 & -0.2762 & 0.391579 \tabularnewline
31 & -0.004011 & -0.034 & 0.486472 \tabularnewline
32 & -0.015761 & -0.1337 & 0.446992 \tabularnewline
33 & 0.038118 & 0.3234 & 0.37365 \tabularnewline
34 & 0.000896 & 0.0076 & 0.496978 \tabularnewline
35 & -0.055879 & -0.4742 & 0.318413 \tabularnewline
36 & 0.002311 & 0.0196 & 0.492205 \tabularnewline
37 & -0.003468 & -0.0294 & 0.488301 \tabularnewline
38 & -0.015455 & -0.1311 & 0.448016 \tabularnewline
39 & -0.018124 & -0.1538 & 0.439104 \tabularnewline
40 & 0.037506 & 0.3183 & 0.375608 \tabularnewline
41 & 0.044767 & 0.3799 & 0.352584 \tabularnewline
42 & -0.03345 & -0.2838 & 0.388677 \tabularnewline
43 & -0.032543 & -0.2761 & 0.391618 \tabularnewline
44 & -0.030066 & -0.2551 & 0.39968 \tabularnewline
45 & -0.006083 & -0.0516 & 0.47949 \tabularnewline
46 & 0.057139 & 0.4848 & 0.31463 \tabularnewline
47 & 0.027972 & 0.2373 & 0.40653 \tabularnewline
48 & -0.058457 & -0.496 & 0.310693 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=204956&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]0.964262[/C][C]8.182[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]-0.057665[/C][C]-0.4893[/C][C]0.313056[/C][/ROW]
[ROW][C]3[/C][C]0.070855[/C][C]0.6012[/C][C]0.27479[/C][/ROW]
[ROW][C]4[/C][C]0.009917[/C][C]0.0842[/C][C]0.466585[/C][/ROW]
[ROW][C]5[/C][C]-0.029603[/C][C]-0.2512[/C][C]0.401191[/C][/ROW]
[ROW][C]6[/C][C]-0.02314[/C][C]-0.1963[/C][C]0.422445[/C][/ROW]
[ROW][C]7[/C][C]-0.103489[/C][C]-0.8781[/C][C]0.191396[/C][/ROW]
[ROW][C]8[/C][C]-0.113574[/C][C]-0.9637[/C][C]0.169209[/C][/ROW]
[ROW][C]9[/C][C]0.063547[/C][C]0.5392[/C][C]0.295702[/C][/ROW]
[ROW][C]10[/C][C]-0.018357[/C][C]-0.1558[/C][C]0.438328[/C][/ROW]
[ROW][C]11[/C][C]-0.054604[/C][C]-0.4633[/C][C]0.322261[/C][/ROW]
[ROW][C]12[/C][C]-0.083045[/C][C]-0.7047[/C][C]0.241649[/C][/ROW]
[ROW][C]13[/C][C]-0.078994[/C][C]-0.6703[/C][C]0.252411[/C][/ROW]
[ROW][C]14[/C][C]-0.065708[/C][C]-0.5576[/C][C]0.28944[/C][/ROW]
[ROW][C]15[/C][C]0.04053[/C][C]0.3439[/C][C]0.365958[/C][/ROW]
[ROW][C]16[/C][C]0.00337[/C][C]0.0286[/C][C]0.488635[/C][/ROW]
[ROW][C]17[/C][C]0.030949[/C][C]0.2626[/C][C]0.396802[/C][/ROW]
[ROW][C]18[/C][C]0.009321[/C][C]0.0791[/C][C]0.468591[/C][/ROW]
[ROW][C]19[/C][C]-0.071221[/C][C]-0.6043[/C][C]0.273763[/C][/ROW]
[ROW][C]20[/C][C]-0.051849[/C][C]-0.44[/C][C]0.330644[/C][/ROW]
[ROW][C]21[/C][C]-0.110083[/C][C]-0.9341[/C][C]0.17669[/C][/ROW]
[ROW][C]22[/C][C]-0.03847[/C][C]-0.3264[/C][C]0.372525[/C][/ROW]
[ROW][C]23[/C][C]0.060525[/C][C]0.5136[/C][C]0.304562[/C][/ROW]
[ROW][C]24[/C][C]-0.020938[/C][C]-0.1777[/C][C]0.429743[/C][/ROW]
[ROW][C]25[/C][C]-0.045859[/C][C]-0.3891[/C][C]0.349167[/C][/ROW]
[ROW][C]26[/C][C]-0.11229[/C][C]-0.9528[/C][C]0.171936[/C][/ROW]
[ROW][C]27[/C][C]-0.062846[/C][C]-0.5333[/C][C]0.297746[/C][/ROW]
[ROW][C]28[/C][C]0.00783[/C][C]0.0664[/C][C]0.473606[/C][/ROW]
[ROW][C]29[/C][C]0.020137[/C][C]0.1709[/C][C]0.432403[/C][/ROW]
[ROW][C]30[/C][C]-0.032555[/C][C]-0.2762[/C][C]0.391579[/C][/ROW]
[ROW][C]31[/C][C]-0.004011[/C][C]-0.034[/C][C]0.486472[/C][/ROW]
[ROW][C]32[/C][C]-0.015761[/C][C]-0.1337[/C][C]0.446992[/C][/ROW]
[ROW][C]33[/C][C]0.038118[/C][C]0.3234[/C][C]0.37365[/C][/ROW]
[ROW][C]34[/C][C]0.000896[/C][C]0.0076[/C][C]0.496978[/C][/ROW]
[ROW][C]35[/C][C]-0.055879[/C][C]-0.4742[/C][C]0.318413[/C][/ROW]
[ROW][C]36[/C][C]0.002311[/C][C]0.0196[/C][C]0.492205[/C][/ROW]
[ROW][C]37[/C][C]-0.003468[/C][C]-0.0294[/C][C]0.488301[/C][/ROW]
[ROW][C]38[/C][C]-0.015455[/C][C]-0.1311[/C][C]0.448016[/C][/ROW]
[ROW][C]39[/C][C]-0.018124[/C][C]-0.1538[/C][C]0.439104[/C][/ROW]
[ROW][C]40[/C][C]0.037506[/C][C]0.3183[/C][C]0.375608[/C][/ROW]
[ROW][C]41[/C][C]0.044767[/C][C]0.3799[/C][C]0.352584[/C][/ROW]
[ROW][C]42[/C][C]-0.03345[/C][C]-0.2838[/C][C]0.388677[/C][/ROW]
[ROW][C]43[/C][C]-0.032543[/C][C]-0.2761[/C][C]0.391618[/C][/ROW]
[ROW][C]44[/C][C]-0.030066[/C][C]-0.2551[/C][C]0.39968[/C][/ROW]
[ROW][C]45[/C][C]-0.006083[/C][C]-0.0516[/C][C]0.47949[/C][/ROW]
[ROW][C]46[/C][C]0.057139[/C][C]0.4848[/C][C]0.31463[/C][/ROW]
[ROW][C]47[/C][C]0.027972[/C][C]0.2373[/C][C]0.40653[/C][/ROW]
[ROW][C]48[/C][C]-0.058457[/C][C]-0.496[/C][C]0.310693[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=204956&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=204956&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 0.964262 8.182 0 2 -0.057665 -0.4893 0.313056 3 0.070855 0.6012 0.27479 4 0.009917 0.0842 0.466585 5 -0.029603 -0.2512 0.401191 6 -0.02314 -0.1963 0.422445 7 -0.103489 -0.8781 0.191396 8 -0.113574 -0.9637 0.169209 9 0.063547 0.5392 0.295702 10 -0.018357 -0.1558 0.438328 11 -0.054604 -0.4633 0.322261 12 -0.083045 -0.7047 0.241649 13 -0.078994 -0.6703 0.252411 14 -0.065708 -0.5576 0.28944 15 0.04053 0.3439 0.365958 16 0.00337 0.0286 0.488635 17 0.030949 0.2626 0.396802 18 0.009321 0.0791 0.468591 19 -0.071221 -0.6043 0.273763 20 -0.051849 -0.44 0.330644 21 -0.110083 -0.9341 0.17669 22 -0.03847 -0.3264 0.372525 23 0.060525 0.5136 0.304562 24 -0.020938 -0.1777 0.429743 25 -0.045859 -0.3891 0.349167 26 -0.11229 -0.9528 0.171936 27 -0.062846 -0.5333 0.297746 28 0.00783 0.0664 0.473606 29 0.020137 0.1709 0.432403 30 -0.032555 -0.2762 0.391579 31 -0.004011 -0.034 0.486472 32 -0.015761 -0.1337 0.446992 33 0.038118 0.3234 0.37365 34 0.000896 0.0076 0.496978 35 -0.055879 -0.4742 0.318413 36 0.002311 0.0196 0.492205 37 -0.003468 -0.0294 0.488301 38 -0.015455 -0.1311 0.448016 39 -0.018124 -0.1538 0.439104 40 0.037506 0.3183 0.375608 41 0.044767 0.3799 0.352584 42 -0.03345 -0.2838 0.388677 43 -0.032543 -0.2761 0.391618 44 -0.030066 -0.2551 0.39968 45 -0.006083 -0.0516 0.47949 46 0.057139 0.4848 0.31463 47 0.027972 0.2373 0.40653 48 -0.058457 -0.496 0.310693

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 (par8 != '') par8 <- as.numeric(par8)ox <- xif (par8 == '') {if (par2 == 0) {x <- log(x)} else {x <- (x ^ par2 - 1) / par2}} else {x <- log(x,base=par8)}if (par3 > 0) x <- diff(x,lag=1,difference=par3)if (par4 > 0) x <- diff(x,lag=par5,difference=par4)bitmap(file='picts.png')op <- par(mfrow=c(2,1))plot(ox,type='l',main='Original Time Series',xlab='time',ylab='value')if (par8=='') {mytitle <- paste('Working Time Series (lambda=',par2,', d=',par3,', D=',par4,')',sep='')mysub <- paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep='')} else {mytitle <- paste('Working Time Series (base=',par8,', d=',par3,', D=',par4,')',sep='')mysub <- paste('(base=',par8,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep='')}plot(x,type='l', main=mytitle,xlab='time',ylab='value')par(op)dev.off()bitmap(file='pic1.png')racf <- acf(x, par1, main='Autocorrelation', xlab='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=mysub)dev.off()bitmap(file='pic2.png')rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF',sub=mysub)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')