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Author's title
Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationSun, 30 Dec 2012 12:39:40 -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/t1356889376tafws5xjtrolz7g.htm/, Retrieved Wed, 07 Aug 2024 21:54:18 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=204957, Retrieved Wed, 07 Aug 2024 21:54:18 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact181
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 17:39:40] [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 2 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 & 2 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=204957&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' @ 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=204957&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=204957&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 2 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 0.05748 0.4843 0.314819 2 -0.241994 -2.0391 0.022583 3 -0.124767 -1.0513 0.148342 4 -0.071961 -0.6064 0.273107 5 0.012819 0.108 0.457145 6 0.316045 2.663 0.004787 7 -0.028735 -0.2421 0.40469 8 -0.047961 -0.4041 0.343666 9 -0.078942 -0.6652 0.254045 10 -0.054014 -0.4551 0.325201 11 0.086141 0.7258 0.235162 12 0.123629 1.0417 0.150539 13 -0.003827 -0.0322 0.487182 14 0.060928 0.5134 0.304637 15 -0.096099 -0.8097 0.210395 16 -0.151461 -1.2762 0.103016 17 0.040348 0.34 0.367439 18 0.274788 2.3154 0.011742 19 -0.00658 -0.0554 0.477971 20 -0.104038 -0.8766 0.19182 21 -0.13317 -1.1221 0.132798 22 -0.120763 -1.0176 0.15617 23 -0.030105 -0.2537 0.400242 24 0.122942 1.0359 0.151876 25 0.078776 0.6638 0.254491 26 0.024834 0.2093 0.417423 27 -0.113073 -0.9528 0.17197 28 -0.089119 -0.7509 0.227588 29 0.082518 0.6953 0.244567 30 0.007429 0.0626 0.475131 31 -0.030106 -0.2537 0.40024 32 -0.060943 -0.5135 0.304592 33 -0.095115 -0.8015 0.212771 34 -0.060646 -0.511 0.305464 35 0.057388 0.4836 0.315092 36 -0.028493 -0.2401 0.405477 37 0.050969 0.4295 0.33444 38 -0.013998 -0.1179 0.453222 39 -0.071416 -0.6018 0.274626 40 -0.069348 -0.5843 0.280422 41 0.072842 0.6138 0.270661 42 -0.000791 -0.0067 0.49735 43 0.141951 1.1961 0.117818 44 0.020083 0.1692 0.433051 45 -0.090876 -0.7657 0.223186 46 -0.055083 -0.4641 0.321984 47 -0.008944 -0.0754 0.470068 48 -0.031536 -0.2657 0.39561

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.05748 & 0.4843 & 0.314819 \tabularnewline
2 & -0.241994 & -2.0391 & 0.022583 \tabularnewline
3 & -0.124767 & -1.0513 & 0.148342 \tabularnewline
4 & -0.071961 & -0.6064 & 0.273107 \tabularnewline
5 & 0.012819 & 0.108 & 0.457145 \tabularnewline
6 & 0.316045 & 2.663 & 0.004787 \tabularnewline
7 & -0.028735 & -0.2421 & 0.40469 \tabularnewline
8 & -0.047961 & -0.4041 & 0.343666 \tabularnewline
9 & -0.078942 & -0.6652 & 0.254045 \tabularnewline
10 & -0.054014 & -0.4551 & 0.325201 \tabularnewline
11 & 0.086141 & 0.7258 & 0.235162 \tabularnewline
12 & 0.123629 & 1.0417 & 0.150539 \tabularnewline
13 & -0.003827 & -0.0322 & 0.487182 \tabularnewline
14 & 0.060928 & 0.5134 & 0.304637 \tabularnewline
15 & -0.096099 & -0.8097 & 0.210395 \tabularnewline
16 & -0.151461 & -1.2762 & 0.103016 \tabularnewline
17 & 0.040348 & 0.34 & 0.367439 \tabularnewline
18 & 0.274788 & 2.3154 & 0.011742 \tabularnewline
19 & -0.00658 & -0.0554 & 0.477971 \tabularnewline
20 & -0.104038 & -0.8766 & 0.19182 \tabularnewline
21 & -0.13317 & -1.1221 & 0.132798 \tabularnewline
22 & -0.120763 & -1.0176 & 0.15617 \tabularnewline
23 & -0.030105 & -0.2537 & 0.400242 \tabularnewline
24 & 0.122942 & 1.0359 & 0.151876 \tabularnewline
25 & 0.078776 & 0.6638 & 0.254491 \tabularnewline
26 & 0.024834 & 0.2093 & 0.417423 \tabularnewline
27 & -0.113073 & -0.9528 & 0.17197 \tabularnewline
28 & -0.089119 & -0.7509 & 0.227588 \tabularnewline
29 & 0.082518 & 0.6953 & 0.244567 \tabularnewline
30 & 0.007429 & 0.0626 & 0.475131 \tabularnewline
31 & -0.030106 & -0.2537 & 0.40024 \tabularnewline
32 & -0.060943 & -0.5135 & 0.304592 \tabularnewline
33 & -0.095115 & -0.8015 & 0.212771 \tabularnewline
34 & -0.060646 & -0.511 & 0.305464 \tabularnewline
35 & 0.057388 & 0.4836 & 0.315092 \tabularnewline
36 & -0.028493 & -0.2401 & 0.405477 \tabularnewline
37 & 0.050969 & 0.4295 & 0.33444 \tabularnewline
38 & -0.013998 & -0.1179 & 0.453222 \tabularnewline
39 & -0.071416 & -0.6018 & 0.274626 \tabularnewline
40 & -0.069348 & -0.5843 & 0.280422 \tabularnewline
41 & 0.072842 & 0.6138 & 0.270661 \tabularnewline
42 & -0.000791 & -0.0067 & 0.49735 \tabularnewline
43 & 0.141951 & 1.1961 & 0.117818 \tabularnewline
44 & 0.020083 & 0.1692 & 0.433051 \tabularnewline
45 & -0.090876 & -0.7657 & 0.223186 \tabularnewline
46 & -0.055083 & -0.4641 & 0.321984 \tabularnewline
47 & -0.008944 & -0.0754 & 0.470068 \tabularnewline
48 & -0.031536 & -0.2657 & 0.39561 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=204957&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]0.05748[/C][C]0.4843[/C][C]0.314819[/C][/ROW]
[ROW][C]2[/C][C]-0.241994[/C][C]-2.0391[/C][C]0.022583[/C][/ROW]
[ROW][C]3[/C][C]-0.124767[/C][C]-1.0513[/C][C]0.148342[/C][/ROW]
[ROW][C]4[/C][C]-0.071961[/C][C]-0.6064[/C][C]0.273107[/C][/ROW]
[ROW][C]5[/C][C]0.012819[/C][C]0.108[/C][C]0.457145[/C][/ROW]
[ROW][C]6[/C][C]0.316045[/C][C]2.663[/C][C]0.004787[/C][/ROW]
[ROW][C]7[/C][C]-0.028735[/C][C]-0.2421[/C][C]0.40469[/C][/ROW]
[ROW][C]8[/C][C]-0.047961[/C][C]-0.4041[/C][C]0.343666[/C][/ROW]
[ROW][C]9[/C][C]-0.078942[/C][C]-0.6652[/C][C]0.254045[/C][/ROW]
[ROW][C]10[/C][C]-0.054014[/C][C]-0.4551[/C][C]0.325201[/C][/ROW]
[ROW][C]11[/C][C]0.086141[/C][C]0.7258[/C][C]0.235162[/C][/ROW]
[ROW][C]12[/C][C]0.123629[/C][C]1.0417[/C][C]0.150539[/C][/ROW]
[ROW][C]13[/C][C]-0.003827[/C][C]-0.0322[/C][C]0.487182[/C][/ROW]
[ROW][C]14[/C][C]0.060928[/C][C]0.5134[/C][C]0.304637[/C][/ROW]
[ROW][C]15[/C][C]-0.096099[/C][C]-0.8097[/C][C]0.210395[/C][/ROW]
[ROW][C]16[/C][C]-0.151461[/C][C]-1.2762[/C][C]0.103016[/C][/ROW]
[ROW][C]17[/C][C]0.040348[/C][C]0.34[/C][C]0.367439[/C][/ROW]
[ROW][C]18[/C][C]0.274788[/C][C]2.3154[/C][C]0.011742[/C][/ROW]
[ROW][C]19[/C][C]-0.00658[/C][C]-0.0554[/C][C]0.477971[/C][/ROW]
[ROW][C]20[/C][C]-0.104038[/C][C]-0.8766[/C][C]0.19182[/C][/ROW]
[ROW][C]21[/C][C]-0.13317[/C][C]-1.1221[/C][C]0.132798[/C][/ROW]
[ROW][C]22[/C][C]-0.120763[/C][C]-1.0176[/C][C]0.15617[/C][/ROW]
[ROW][C]23[/C][C]-0.030105[/C][C]-0.2537[/C][C]0.400242[/C][/ROW]
[ROW][C]24[/C][C]0.122942[/C][C]1.0359[/C][C]0.151876[/C][/ROW]
[ROW][C]25[/C][C]0.078776[/C][C]0.6638[/C][C]0.254491[/C][/ROW]
[ROW][C]26[/C][C]0.024834[/C][C]0.2093[/C][C]0.417423[/C][/ROW]
[ROW][C]27[/C][C]-0.113073[/C][C]-0.9528[/C][C]0.17197[/C][/ROW]
[ROW][C]28[/C][C]-0.089119[/C][C]-0.7509[/C][C]0.227588[/C][/ROW]
[ROW][C]29[/C][C]0.082518[/C][C]0.6953[/C][C]0.244567[/C][/ROW]
[ROW][C]30[/C][C]0.007429[/C][C]0.0626[/C][C]0.475131[/C][/ROW]
[ROW][C]31[/C][C]-0.030106[/C][C]-0.2537[/C][C]0.40024[/C][/ROW]
[ROW][C]32[/C][C]-0.060943[/C][C]-0.5135[/C][C]0.304592[/C][/ROW]
[ROW][C]33[/C][C]-0.095115[/C][C]-0.8015[/C][C]0.212771[/C][/ROW]
[ROW][C]34[/C][C]-0.060646[/C][C]-0.511[/C][C]0.305464[/C][/ROW]
[ROW][C]35[/C][C]0.057388[/C][C]0.4836[/C][C]0.315092[/C][/ROW]
[ROW][C]36[/C][C]-0.028493[/C][C]-0.2401[/C][C]0.405477[/C][/ROW]
[ROW][C]37[/C][C]0.050969[/C][C]0.4295[/C][C]0.33444[/C][/ROW]
[ROW][C]38[/C][C]-0.013998[/C][C]-0.1179[/C][C]0.453222[/C][/ROW]
[ROW][C]39[/C][C]-0.071416[/C][C]-0.6018[/C][C]0.274626[/C][/ROW]
[ROW][C]40[/C][C]-0.069348[/C][C]-0.5843[/C][C]0.280422[/C][/ROW]
[ROW][C]41[/C][C]0.072842[/C][C]0.6138[/C][C]0.270661[/C][/ROW]
[ROW][C]42[/C][C]-0.000791[/C][C]-0.0067[/C][C]0.49735[/C][/ROW]
[ROW][C]43[/C][C]0.141951[/C][C]1.1961[/C][C]0.117818[/C][/ROW]
[ROW][C]44[/C][C]0.020083[/C][C]0.1692[/C][C]0.433051[/C][/ROW]
[ROW][C]45[/C][C]-0.090876[/C][C]-0.7657[/C][C]0.223186[/C][/ROW]
[ROW][C]46[/C][C]-0.055083[/C][C]-0.4641[/C][C]0.321984[/C][/ROW]
[ROW][C]47[/C][C]-0.008944[/C][C]-0.0754[/C][C]0.470068[/C][/ROW]
[ROW][C]48[/C][C]-0.031536[/C][C]-0.2657[/C][C]0.39561[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=204957&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=204957&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 0.05748 0.4843 0.314819 2 -0.241994 -2.0391 0.022583 3 -0.124767 -1.0513 0.148342 4 -0.071961 -0.6064 0.273107 5 0.012819 0.108 0.457145 6 0.316045 2.663 0.004787 7 -0.028735 -0.2421 0.40469 8 -0.047961 -0.4041 0.343666 9 -0.078942 -0.6652 0.254045 10 -0.054014 -0.4551 0.325201 11 0.086141 0.7258 0.235162 12 0.123629 1.0417 0.150539 13 -0.003827 -0.0322 0.487182 14 0.060928 0.5134 0.304637 15 -0.096099 -0.8097 0.210395 16 -0.151461 -1.2762 0.103016 17 0.040348 0.34 0.367439 18 0.274788 2.3154 0.011742 19 -0.00658 -0.0554 0.477971 20 -0.104038 -0.8766 0.19182 21 -0.13317 -1.1221 0.132798 22 -0.120763 -1.0176 0.15617 23 -0.030105 -0.2537 0.400242 24 0.122942 1.0359 0.151876 25 0.078776 0.6638 0.254491 26 0.024834 0.2093 0.417423 27 -0.113073 -0.9528 0.17197 28 -0.089119 -0.7509 0.227588 29 0.082518 0.6953 0.244567 30 0.007429 0.0626 0.475131 31 -0.030106 -0.2537 0.40024 32 -0.060943 -0.5135 0.304592 33 -0.095115 -0.8015 0.212771 34 -0.060646 -0.511 0.305464 35 0.057388 0.4836 0.315092 36 -0.028493 -0.2401 0.405477 37 0.050969 0.4295 0.33444 38 -0.013998 -0.1179 0.453222 39 -0.071416 -0.6018 0.274626 40 -0.069348 -0.5843 0.280422 41 0.072842 0.6138 0.270661 42 -0.000791 -0.0067 0.49735 43 0.141951 1.1961 0.117818 44 0.020083 0.1692 0.433051 45 -0.090876 -0.7657 0.223186 46 -0.055083 -0.4641 0.321984 47 -0.008944 -0.0754 0.470068 48 -0.031536 -0.2657 0.39561

 Partial Autocorrelation Function Time lag k PACF(k) T-STAT P-value 1 0.05748 0.4843 0.314819 2 -0.246111 -2.0738 0.020865 3 -0.099631 -0.8395 0.202001 4 -0.12749 -1.0743 0.143174 5 -0.0369 -0.3109 0.378384 6 0.279648 2.3564 0.01061 7 -0.091657 -0.7723 0.221245 8 0.111395 0.9386 0.175551 9 -0.067722 -0.5706 0.285025 10 -0.006031 -0.0508 0.479808 11 0.085787 0.7229 0.236071 12 -0.011464 -0.0966 0.461659 13 0.072041 0.607 0.272884 14 0.083933 0.7072 0.24087 15 -0.054599 -0.4601 0.32344 16 -0.087419 -0.7366 0.231895 17 -0.015607 -0.1315 0.447874 18 0.231498 1.9506 0.027524 19 -0.079672 -0.6713 0.252094 20 -0.048685 -0.4102 0.341439 21 -0.064075 -0.5399 0.295477 22 -0.113736 -0.9584 0.170567 23 -0.081808 -0.6893 0.246433 24 -0.105221 -0.8866 0.189141 25 0.070904 0.5975 0.276053 26 0.041872 0.3528 0.362636 27 -0.036404 -0.3067 0.379967 28 0.005106 0.043 0.4829 29 0.073444 0.6188 0.268998 30 -0.050671 -0.427 0.33535 31 -0.053228 -0.4485 0.327576 32 -0.159791 -1.3464 0.091224 33 -0.003321 -0.028 0.488878 34 -0.023192 -0.1954 0.422811 35 -0.034459 -0.2904 0.386195 36 -0.125648 -1.0587 0.146657 37 0.080351 0.677 0.250288 38 0.018324 0.1544 0.438865 39 -0.039318 -0.3313 0.370699 40 -0.047611 -0.4012 0.344747 41 0.120265 1.0134 0.157161 42 -0.017355 -0.1462 0.442076 43 0.082733 0.6971 0.244001 44 -0.006987 -0.0589 0.476608 45 0.053323 0.4493 0.327288 46 0.063113 0.5318 0.298264 47 -0.135644 -1.143 0.128449 48 0.013963 0.1177 0.453338

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.05748 & 0.4843 & 0.314819 \tabularnewline
2 & -0.246111 & -2.0738 & 0.020865 \tabularnewline
3 & -0.099631 & -0.8395 & 0.202001 \tabularnewline
4 & -0.12749 & -1.0743 & 0.143174 \tabularnewline
5 & -0.0369 & -0.3109 & 0.378384 \tabularnewline
6 & 0.279648 & 2.3564 & 0.01061 \tabularnewline
7 & -0.091657 & -0.7723 & 0.221245 \tabularnewline
8 & 0.111395 & 0.9386 & 0.175551 \tabularnewline
9 & -0.067722 & -0.5706 & 0.285025 \tabularnewline
10 & -0.006031 & -0.0508 & 0.479808 \tabularnewline
11 & 0.085787 & 0.7229 & 0.236071 \tabularnewline
12 & -0.011464 & -0.0966 & 0.461659 \tabularnewline
13 & 0.072041 & 0.607 & 0.272884 \tabularnewline
14 & 0.083933 & 0.7072 & 0.24087 \tabularnewline
15 & -0.054599 & -0.4601 & 0.32344 \tabularnewline
16 & -0.087419 & -0.7366 & 0.231895 \tabularnewline
17 & -0.015607 & -0.1315 & 0.447874 \tabularnewline
18 & 0.231498 & 1.9506 & 0.027524 \tabularnewline
19 & -0.079672 & -0.6713 & 0.252094 \tabularnewline
20 & -0.048685 & -0.4102 & 0.341439 \tabularnewline
21 & -0.064075 & -0.5399 & 0.295477 \tabularnewline
22 & -0.113736 & -0.9584 & 0.170567 \tabularnewline
23 & -0.081808 & -0.6893 & 0.246433 \tabularnewline
24 & -0.105221 & -0.8866 & 0.189141 \tabularnewline
25 & 0.070904 & 0.5975 & 0.276053 \tabularnewline
26 & 0.041872 & 0.3528 & 0.362636 \tabularnewline
27 & -0.036404 & -0.3067 & 0.379967 \tabularnewline
28 & 0.005106 & 0.043 & 0.4829 \tabularnewline
29 & 0.073444 & 0.6188 & 0.268998 \tabularnewline
30 & -0.050671 & -0.427 & 0.33535 \tabularnewline
31 & -0.053228 & -0.4485 & 0.327576 \tabularnewline
32 & -0.159791 & -1.3464 & 0.091224 \tabularnewline
33 & -0.003321 & -0.028 & 0.488878 \tabularnewline
34 & -0.023192 & -0.1954 & 0.422811 \tabularnewline
35 & -0.034459 & -0.2904 & 0.386195 \tabularnewline
36 & -0.125648 & -1.0587 & 0.146657 \tabularnewline
37 & 0.080351 & 0.677 & 0.250288 \tabularnewline
38 & 0.018324 & 0.1544 & 0.438865 \tabularnewline
39 & -0.039318 & -0.3313 & 0.370699 \tabularnewline
40 & -0.047611 & -0.4012 & 0.344747 \tabularnewline
41 & 0.120265 & 1.0134 & 0.157161 \tabularnewline
42 & -0.017355 & -0.1462 & 0.442076 \tabularnewline
43 & 0.082733 & 0.6971 & 0.244001 \tabularnewline
44 & -0.006987 & -0.0589 & 0.476608 \tabularnewline
45 & 0.053323 & 0.4493 & 0.327288 \tabularnewline
46 & 0.063113 & 0.5318 & 0.298264 \tabularnewline
47 & -0.135644 & -1.143 & 0.128449 \tabularnewline
48 & 0.013963 & 0.1177 & 0.453338 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=204957&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]0.05748[/C][C]0.4843[/C][C]0.314819[/C][/ROW]
[ROW][C]2[/C][C]-0.246111[/C][C]-2.0738[/C][C]0.020865[/C][/ROW]
[ROW][C]3[/C][C]-0.099631[/C][C]-0.8395[/C][C]0.202001[/C][/ROW]
[ROW][C]4[/C][C]-0.12749[/C][C]-1.0743[/C][C]0.143174[/C][/ROW]
[ROW][C]5[/C][C]-0.0369[/C][C]-0.3109[/C][C]0.378384[/C][/ROW]
[ROW][C]6[/C][C]0.279648[/C][C]2.3564[/C][C]0.01061[/C][/ROW]
[ROW][C]7[/C][C]-0.091657[/C][C]-0.7723[/C][C]0.221245[/C][/ROW]
[ROW][C]8[/C][C]0.111395[/C][C]0.9386[/C][C]0.175551[/C][/ROW]
[ROW][C]9[/C][C]-0.067722[/C][C]-0.5706[/C][C]0.285025[/C][/ROW]
[ROW][C]10[/C][C]-0.006031[/C][C]-0.0508[/C][C]0.479808[/C][/ROW]
[ROW][C]11[/C][C]0.085787[/C][C]0.7229[/C][C]0.236071[/C][/ROW]
[ROW][C]12[/C][C]-0.011464[/C][C]-0.0966[/C][C]0.461659[/C][/ROW]
[ROW][C]13[/C][C]0.072041[/C][C]0.607[/C][C]0.272884[/C][/ROW]
[ROW][C]14[/C][C]0.083933[/C][C]0.7072[/C][C]0.24087[/C][/ROW]
[ROW][C]15[/C][C]-0.054599[/C][C]-0.4601[/C][C]0.32344[/C][/ROW]
[ROW][C]16[/C][C]-0.087419[/C][C]-0.7366[/C][C]0.231895[/C][/ROW]
[ROW][C]17[/C][C]-0.015607[/C][C]-0.1315[/C][C]0.447874[/C][/ROW]
[ROW][C]18[/C][C]0.231498[/C][C]1.9506[/C][C]0.027524[/C][/ROW]
[ROW][C]19[/C][C]-0.079672[/C][C]-0.6713[/C][C]0.252094[/C][/ROW]
[ROW][C]20[/C][C]-0.048685[/C][C]-0.4102[/C][C]0.341439[/C][/ROW]
[ROW][C]21[/C][C]-0.064075[/C][C]-0.5399[/C][C]0.295477[/C][/ROW]
[ROW][C]22[/C][C]-0.113736[/C][C]-0.9584[/C][C]0.170567[/C][/ROW]
[ROW][C]23[/C][C]-0.081808[/C][C]-0.6893[/C][C]0.246433[/C][/ROW]
[ROW][C]24[/C][C]-0.105221[/C][C]-0.8866[/C][C]0.189141[/C][/ROW]
[ROW][C]25[/C][C]0.070904[/C][C]0.5975[/C][C]0.276053[/C][/ROW]
[ROW][C]26[/C][C]0.041872[/C][C]0.3528[/C][C]0.362636[/C][/ROW]
[ROW][C]27[/C][C]-0.036404[/C][C]-0.3067[/C][C]0.379967[/C][/ROW]
[ROW][C]28[/C][C]0.005106[/C][C]0.043[/C][C]0.4829[/C][/ROW]
[ROW][C]29[/C][C]0.073444[/C][C]0.6188[/C][C]0.268998[/C][/ROW]
[ROW][C]30[/C][C]-0.050671[/C][C]-0.427[/C][C]0.33535[/C][/ROW]
[ROW][C]31[/C][C]-0.053228[/C][C]-0.4485[/C][C]0.327576[/C][/ROW]
[ROW][C]32[/C][C]-0.159791[/C][C]-1.3464[/C][C]0.091224[/C][/ROW]
[ROW][C]33[/C][C]-0.003321[/C][C]-0.028[/C][C]0.488878[/C][/ROW]
[ROW][C]34[/C][C]-0.023192[/C][C]-0.1954[/C][C]0.422811[/C][/ROW]
[ROW][C]35[/C][C]-0.034459[/C][C]-0.2904[/C][C]0.386195[/C][/ROW]
[ROW][C]36[/C][C]-0.125648[/C][C]-1.0587[/C][C]0.146657[/C][/ROW]
[ROW][C]37[/C][C]0.080351[/C][C]0.677[/C][C]0.250288[/C][/ROW]
[ROW][C]38[/C][C]0.018324[/C][C]0.1544[/C][C]0.438865[/C][/ROW]
[ROW][C]39[/C][C]-0.039318[/C][C]-0.3313[/C][C]0.370699[/C][/ROW]
[ROW][C]40[/C][C]-0.047611[/C][C]-0.4012[/C][C]0.344747[/C][/ROW]
[ROW][C]41[/C][C]0.120265[/C][C]1.0134[/C][C]0.157161[/C][/ROW]
[ROW][C]42[/C][C]-0.017355[/C][C]-0.1462[/C][C]0.442076[/C][/ROW]
[ROW][C]43[/C][C]0.082733[/C][C]0.6971[/C][C]0.244001[/C][/ROW]
[ROW][C]44[/C][C]-0.006987[/C][C]-0.0589[/C][C]0.476608[/C][/ROW]
[ROW][C]45[/C][C]0.053323[/C][C]0.4493[/C][C]0.327288[/C][/ROW]
[ROW][C]46[/C][C]0.063113[/C][C]0.5318[/C][C]0.298264[/C][/ROW]
[ROW][C]47[/C][C]-0.135644[/C][C]-1.143[/C][C]0.128449[/C][/ROW]
[ROW][C]48[/C][C]0.013963[/C][C]0.1177[/C][C]0.453338[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=204957&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=204957&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 0.05748 0.4843 0.314819 2 -0.246111 -2.0738 0.020865 3 -0.099631 -0.8395 0.202001 4 -0.12749 -1.0743 0.143174 5 -0.0369 -0.3109 0.378384 6 0.279648 2.3564 0.01061 7 -0.091657 -0.7723 0.221245 8 0.111395 0.9386 0.175551 9 -0.067722 -0.5706 0.285025 10 -0.006031 -0.0508 0.479808 11 0.085787 0.7229 0.236071 12 -0.011464 -0.0966 0.461659 13 0.072041 0.607 0.272884 14 0.083933 0.7072 0.24087 15 -0.054599 -0.4601 0.32344 16 -0.087419 -0.7366 0.231895 17 -0.015607 -0.1315 0.447874 18 0.231498 1.9506 0.027524 19 -0.079672 -0.6713 0.252094 20 -0.048685 -0.4102 0.341439 21 -0.064075 -0.5399 0.295477 22 -0.113736 -0.9584 0.170567 23 -0.081808 -0.6893 0.246433 24 -0.105221 -0.8866 0.189141 25 0.070904 0.5975 0.276053 26 0.041872 0.3528 0.362636 27 -0.036404 -0.3067 0.379967 28 0.005106 0.043 0.4829 29 0.073444 0.6188 0.268998 30 -0.050671 -0.427 0.33535 31 -0.053228 -0.4485 0.327576 32 -0.159791 -1.3464 0.091224 33 -0.003321 -0.028 0.488878 34 -0.023192 -0.1954 0.422811 35 -0.034459 -0.2904 0.386195 36 -0.125648 -1.0587 0.146657 37 0.080351 0.677 0.250288 38 0.018324 0.1544 0.438865 39 -0.039318 -0.3313 0.370699 40 -0.047611 -0.4012 0.344747 41 0.120265 1.0134 0.157161 42 -0.017355 -0.1462 0.442076 43 0.082733 0.6971 0.244001 44 -0.006987 -0.0589 0.476608 45 0.053323 0.4493 0.327288 46 0.063113 0.5318 0.298264 47 -0.135644 -1.143 0.128449 48 0.013963 0.1177 0.453338

Parameters (Session):
par1 = 48 ; par2 = 1 ; par3 = 1 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ;
Parameters (R input):
par1 = 48 ; par2 = 1 ; par3 = 1 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ; par8 = ;
R code (references can be found in the software module):
par8 <- ''
par7 <- '0.95'
par6 <- 'White Noise'
par5 <- '12'
par4 <- '0'
par3 <- '0'
par2 <- '1'
par1 <- '48'
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 <- x
if (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)
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.row.end(a)
for (i in 2:(par1+1)) {
a<-table.row.start(a)
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)