## 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 computationThu, 12 Dec 2013 03:32:21 -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/2013/Dec/12/t13868372067oroix5i3b9n5ih.htm/, Retrieved Tue, 07 Dec 2021 11:45:15 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=232214, Retrieved Tue, 07 Dec 2021 11:45:15 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact55
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [] [2013-12-12 08:32:21] [9e6a405f514733ea23d87e4507d39d29] [Current]
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Dataseries X:
164
96
73
49
39
59
169
169
210
278
298
245
200
188
90
79
78
91
167
169
289
247
275
203
223
104
107
85
75
99
135
211
335
488
326
346
261
224
141
148
145
223
272
445
560
612
467
404
518
404
300
210
196
186
247
343
464
680
711
610
513
292
273
322
189
257
324
404
677
858
895
664
628
308
324
248
272

 Summary of computational transaction Raw Input view raw input (R code) Raw Output view raw output of R engine Computing time 5 seconds R Server 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 5 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=232214&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]5 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=232214&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=232214&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 5 seconds R Server 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net

 Autocorrelation Function Time lag k ACF(k) T-STAT P-value 1 0.485339 3.9129 0.00011 2 0.305455 2.4627 0.008225 3 -0.016701 -0.1346 0.446653 4 0.107699 0.8683 0.194214 5 0.034607 0.279 0.390561 6 0.053333 0.43 0.334314 7 0.005846 0.0471 0.481275 8 0.001403 0.0113 0.495504 9 0.130845 1.0549 0.147686 10 0.059788 0.482 0.315704 11 0.061476 0.4956 0.310911 12 -0.249441 -2.0111 0.024235 13 -0.120647 -0.9727 0.167157 14 -0.149319 -1.2038 0.116507 15 -0.027273 -0.2199 0.413327 16 -0.182646 -1.4725 0.072851 17 -0.15875 -1.2799 0.102568 18 -0.210973 -1.7009 0.046869 19 -0.144148 -1.1622 0.12471 20 -0.083594 -0.674 0.251365 21 -0.134531 -1.0846 0.141048 22 -0.049371 -0.398 0.345953 23 -0.122147 -0.9848 0.164192 24 0.036491 0.2942 0.384771 25 0.019995 0.1612 0.436215 26 0.07254 0.5848 0.280342 27 -0.09021 -0.7273 0.234829 28 -0.025089 -0.2023 0.420167 29 -0.084894 -0.6844 0.248065 30 0.009782 0.0789 0.46869 31 -0.006968 -0.0562 0.477686 32 0.004965 0.04 0.484098 33 0.041677 0.336 0.368972 34 0.011297 0.0911 0.463855 35 0.113838 0.9178 0.18106 36 0.04617 0.3722 0.355463 37 0.094691 0.7634 0.223986 38 -0.00692 -0.0558 0.477839 39 0.068607 0.5531 0.291036 40 -0.078998 -0.6369 0.263213 41 -0.02672 -0.2154 0.415055 42 -0.078477 -0.6327 0.264574 43 -0.024241 -0.1954 0.422831 44 -0.054443 -0.4389 0.331081 45 -0.033743 -0.272 0.393226 46 -0.018488 -0.1491 0.440985 47 -0.057414 -0.4629 0.322496 48 -0.014184 -0.1144 0.454654

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.485339 & 3.9129 & 0.00011 \tabularnewline
2 & 0.305455 & 2.4627 & 0.008225 \tabularnewline
3 & -0.016701 & -0.1346 & 0.446653 \tabularnewline
4 & 0.107699 & 0.8683 & 0.194214 \tabularnewline
5 & 0.034607 & 0.279 & 0.390561 \tabularnewline
6 & 0.053333 & 0.43 & 0.334314 \tabularnewline
7 & 0.005846 & 0.0471 & 0.481275 \tabularnewline
8 & 0.001403 & 0.0113 & 0.495504 \tabularnewline
9 & 0.130845 & 1.0549 & 0.147686 \tabularnewline
10 & 0.059788 & 0.482 & 0.315704 \tabularnewline
11 & 0.061476 & 0.4956 & 0.310911 \tabularnewline
12 & -0.249441 & -2.0111 & 0.024235 \tabularnewline
13 & -0.120647 & -0.9727 & 0.167157 \tabularnewline
14 & -0.149319 & -1.2038 & 0.116507 \tabularnewline
15 & -0.027273 & -0.2199 & 0.413327 \tabularnewline
16 & -0.182646 & -1.4725 & 0.072851 \tabularnewline
17 & -0.15875 & -1.2799 & 0.102568 \tabularnewline
18 & -0.210973 & -1.7009 & 0.046869 \tabularnewline
19 & -0.144148 & -1.1622 & 0.12471 \tabularnewline
20 & -0.083594 & -0.674 & 0.251365 \tabularnewline
21 & -0.134531 & -1.0846 & 0.141048 \tabularnewline
22 & -0.049371 & -0.398 & 0.345953 \tabularnewline
23 & -0.122147 & -0.9848 & 0.164192 \tabularnewline
24 & 0.036491 & 0.2942 & 0.384771 \tabularnewline
25 & 0.019995 & 0.1612 & 0.436215 \tabularnewline
26 & 0.07254 & 0.5848 & 0.280342 \tabularnewline
27 & -0.09021 & -0.7273 & 0.234829 \tabularnewline
28 & -0.025089 & -0.2023 & 0.420167 \tabularnewline
29 & -0.084894 & -0.6844 & 0.248065 \tabularnewline
30 & 0.009782 & 0.0789 & 0.46869 \tabularnewline
31 & -0.006968 & -0.0562 & 0.477686 \tabularnewline
32 & 0.004965 & 0.04 & 0.484098 \tabularnewline
33 & 0.041677 & 0.336 & 0.368972 \tabularnewline
34 & 0.011297 & 0.0911 & 0.463855 \tabularnewline
35 & 0.113838 & 0.9178 & 0.18106 \tabularnewline
36 & 0.04617 & 0.3722 & 0.355463 \tabularnewline
37 & 0.094691 & 0.7634 & 0.223986 \tabularnewline
38 & -0.00692 & -0.0558 & 0.477839 \tabularnewline
39 & 0.068607 & 0.5531 & 0.291036 \tabularnewline
40 & -0.078998 & -0.6369 & 0.263213 \tabularnewline
41 & -0.02672 & -0.2154 & 0.415055 \tabularnewline
42 & -0.078477 & -0.6327 & 0.264574 \tabularnewline
43 & -0.024241 & -0.1954 & 0.422831 \tabularnewline
44 & -0.054443 & -0.4389 & 0.331081 \tabularnewline
45 & -0.033743 & -0.272 & 0.393226 \tabularnewline
46 & -0.018488 & -0.1491 & 0.440985 \tabularnewline
47 & -0.057414 & -0.4629 & 0.322496 \tabularnewline
48 & -0.014184 & -0.1144 & 0.454654 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=232214&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]0.485339[/C][C]3.9129[/C][C]0.00011[/C][/ROW]
[ROW][C]2[/C][C]0.305455[/C][C]2.4627[/C][C]0.008225[/C][/ROW]
[ROW][C]3[/C][C]-0.016701[/C][C]-0.1346[/C][C]0.446653[/C][/ROW]
[ROW][C]4[/C][C]0.107699[/C][C]0.8683[/C][C]0.194214[/C][/ROW]
[ROW][C]5[/C][C]0.034607[/C][C]0.279[/C][C]0.390561[/C][/ROW]
[ROW][C]6[/C][C]0.053333[/C][C]0.43[/C][C]0.334314[/C][/ROW]
[ROW][C]7[/C][C]0.005846[/C][C]0.0471[/C][C]0.481275[/C][/ROW]
[ROW][C]8[/C][C]0.001403[/C][C]0.0113[/C][C]0.495504[/C][/ROW]
[ROW][C]9[/C][C]0.130845[/C][C]1.0549[/C][C]0.147686[/C][/ROW]
[ROW][C]10[/C][C]0.059788[/C][C]0.482[/C][C]0.315704[/C][/ROW]
[ROW][C]11[/C][C]0.061476[/C][C]0.4956[/C][C]0.310911[/C][/ROW]
[ROW][C]12[/C][C]-0.249441[/C][C]-2.0111[/C][C]0.024235[/C][/ROW]
[ROW][C]13[/C][C]-0.120647[/C][C]-0.9727[/C][C]0.167157[/C][/ROW]
[ROW][C]14[/C][C]-0.149319[/C][C]-1.2038[/C][C]0.116507[/C][/ROW]
[ROW][C]15[/C][C]-0.027273[/C][C]-0.2199[/C][C]0.413327[/C][/ROW]
[ROW][C]16[/C][C]-0.182646[/C][C]-1.4725[/C][C]0.072851[/C][/ROW]
[ROW][C]17[/C][C]-0.15875[/C][C]-1.2799[/C][C]0.102568[/C][/ROW]
[ROW][C]18[/C][C]-0.210973[/C][C]-1.7009[/C][C]0.046869[/C][/ROW]
[ROW][C]19[/C][C]-0.144148[/C][C]-1.1622[/C][C]0.12471[/C][/ROW]
[ROW][C]20[/C][C]-0.083594[/C][C]-0.674[/C][C]0.251365[/C][/ROW]
[ROW][C]21[/C][C]-0.134531[/C][C]-1.0846[/C][C]0.141048[/C][/ROW]
[ROW][C]22[/C][C]-0.049371[/C][C]-0.398[/C][C]0.345953[/C][/ROW]
[ROW][C]23[/C][C]-0.122147[/C][C]-0.9848[/C][C]0.164192[/C][/ROW]
[ROW][C]24[/C][C]0.036491[/C][C]0.2942[/C][C]0.384771[/C][/ROW]
[ROW][C]25[/C][C]0.019995[/C][C]0.1612[/C][C]0.436215[/C][/ROW]
[ROW][C]26[/C][C]0.07254[/C][C]0.5848[/C][C]0.280342[/C][/ROW]
[ROW][C]27[/C][C]-0.09021[/C][C]-0.7273[/C][C]0.234829[/C][/ROW]
[ROW][C]28[/C][C]-0.025089[/C][C]-0.2023[/C][C]0.420167[/C][/ROW]
[ROW][C]29[/C][C]-0.084894[/C][C]-0.6844[/C][C]0.248065[/C][/ROW]
[ROW][C]30[/C][C]0.009782[/C][C]0.0789[/C][C]0.46869[/C][/ROW]
[ROW][C]31[/C][C]-0.006968[/C][C]-0.0562[/C][C]0.477686[/C][/ROW]
[ROW][C]32[/C][C]0.004965[/C][C]0.04[/C][C]0.484098[/C][/ROW]
[ROW][C]33[/C][C]0.041677[/C][C]0.336[/C][C]0.368972[/C][/ROW]
[ROW][C]34[/C][C]0.011297[/C][C]0.0911[/C][C]0.463855[/C][/ROW]
[ROW][C]35[/C][C]0.113838[/C][C]0.9178[/C][C]0.18106[/C][/ROW]
[ROW][C]36[/C][C]0.04617[/C][C]0.3722[/C][C]0.355463[/C][/ROW]
[ROW][C]37[/C][C]0.094691[/C][C]0.7634[/C][C]0.223986[/C][/ROW]
[ROW][C]38[/C][C]-0.00692[/C][C]-0.0558[/C][C]0.477839[/C][/ROW]
[ROW][C]39[/C][C]0.068607[/C][C]0.5531[/C][C]0.291036[/C][/ROW]
[ROW][C]40[/C][C]-0.078998[/C][C]-0.6369[/C][C]0.263213[/C][/ROW]
[ROW][C]41[/C][C]-0.02672[/C][C]-0.2154[/C][C]0.415055[/C][/ROW]
[ROW][C]42[/C][C]-0.078477[/C][C]-0.6327[/C][C]0.264574[/C][/ROW]
[ROW][C]43[/C][C]-0.024241[/C][C]-0.1954[/C][C]0.422831[/C][/ROW]
[ROW][C]44[/C][C]-0.054443[/C][C]-0.4389[/C][C]0.331081[/C][/ROW]
[ROW][C]45[/C][C]-0.033743[/C][C]-0.272[/C][C]0.393226[/C][/ROW]
[ROW][C]46[/C][C]-0.018488[/C][C]-0.1491[/C][C]0.440985[/C][/ROW]
[ROW][C]47[/C][C]-0.057414[/C][C]-0.4629[/C][C]0.322496[/C][/ROW]
[ROW][C]48[/C][C]-0.014184[/C][C]-0.1144[/C][C]0.454654[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=232214&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=232214&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 0.485339 3.9129 0.00011 2 0.305455 2.4627 0.008225 3 -0.016701 -0.1346 0.446653 4 0.107699 0.8683 0.194214 5 0.034607 0.279 0.390561 6 0.053333 0.43 0.334314 7 0.005846 0.0471 0.481275 8 0.001403 0.0113 0.495504 9 0.130845 1.0549 0.147686 10 0.059788 0.482 0.315704 11 0.061476 0.4956 0.310911 12 -0.249441 -2.0111 0.024235 13 -0.120647 -0.9727 0.167157 14 -0.149319 -1.2038 0.116507 15 -0.027273 -0.2199 0.413327 16 -0.182646 -1.4725 0.072851 17 -0.15875 -1.2799 0.102568 18 -0.210973 -1.7009 0.046869 19 -0.144148 -1.1622 0.12471 20 -0.083594 -0.674 0.251365 21 -0.134531 -1.0846 0.141048 22 -0.049371 -0.398 0.345953 23 -0.122147 -0.9848 0.164192 24 0.036491 0.2942 0.384771 25 0.019995 0.1612 0.436215 26 0.07254 0.5848 0.280342 27 -0.09021 -0.7273 0.234829 28 -0.025089 -0.2023 0.420167 29 -0.084894 -0.6844 0.248065 30 0.009782 0.0789 0.46869 31 -0.006968 -0.0562 0.477686 32 0.004965 0.04 0.484098 33 0.041677 0.336 0.368972 34 0.011297 0.0911 0.463855 35 0.113838 0.9178 0.18106 36 0.04617 0.3722 0.355463 37 0.094691 0.7634 0.223986 38 -0.00692 -0.0558 0.477839 39 0.068607 0.5531 0.291036 40 -0.078998 -0.6369 0.263213 41 -0.02672 -0.2154 0.415055 42 -0.078477 -0.6327 0.264574 43 -0.024241 -0.1954 0.422831 44 -0.054443 -0.4389 0.331081 45 -0.033743 -0.272 0.393226 46 -0.018488 -0.1491 0.440985 47 -0.057414 -0.4629 0.322496 48 -0.014184 -0.1144 0.454654

 Partial Autocorrelation Function Time lag k PACF(k) T-STAT P-value 1 0.485339 3.9129 0.00011 2 0.091441 0.7372 0.231822 3 -0.258259 -2.0821 0.020635 4 0.251711 2.0294 0.02326 5 -0.04138 -0.3336 0.369872 6 -0.07541 -0.608 0.272661 7 0.08511 0.6862 0.247521 8 -0.052767 -0.4254 0.335966 9 0.204215 1.6464 0.052251 10 -0.112721 -0.9088 0.18341 11 -0.027392 -0.2208 0.412955 12 -0.288796 -2.3284 0.011508 13 0.13768 1.11 0.135543 14 0.008899 0.0717 0.471511 15 -0.156433 -1.2612 0.105872 16 -0.060133 -0.4848 0.31472 17 -0.047493 -0.3829 0.351523 18 -0.090143 -0.7268 0.234994 19 -0.041263 -0.3327 0.370226 20 0.033857 0.273 0.392873 21 -0.078396 -0.632 0.264786 22 0.101755 0.8204 0.207501 23 -0.071434 -0.5759 0.283329 24 -0.015192 -0.1225 0.451449 25 0.161517 1.3022 0.098724 26 -0.075995 -0.6127 0.271109 27 -0.10605 -0.855 0.197844 28 0.050855 0.41 0.341574 29 -0.101083 -0.815 0.209037 30 0.011723 0.0945 0.462495 31 -0.01405 -0.1133 0.455081 32 -0.032292 -0.2603 0.397711 33 0.012832 0.1035 0.45896 34 -0.047697 -0.3845 0.350914 35 0.066448 0.5357 0.296991 36 -0.041828 -0.3372 0.368517 37 0.073285 0.5908 0.278337 38 0.021747 0.1753 0.430683 39 -0.107004 -0.8627 0.195739 40 -0.087857 -0.7083 0.240637 41 0.028973 0.2336 0.40802 42 -0.026922 -0.217 0.414425 43 -0.026613 -0.2146 0.41539 44 -0.06257 -0.5045 0.307823 45 -0.01702 -0.1372 0.445641 46 -0.015463 -0.1247 0.450587 47 -0.07389 -0.5957 0.276716 48 0.021316 0.1719 0.432043

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.485339 & 3.9129 & 0.00011 \tabularnewline
2 & 0.091441 & 0.7372 & 0.231822 \tabularnewline
3 & -0.258259 & -2.0821 & 0.020635 \tabularnewline
4 & 0.251711 & 2.0294 & 0.02326 \tabularnewline
5 & -0.04138 & -0.3336 & 0.369872 \tabularnewline
6 & -0.07541 & -0.608 & 0.272661 \tabularnewline
7 & 0.08511 & 0.6862 & 0.247521 \tabularnewline
8 & -0.052767 & -0.4254 & 0.335966 \tabularnewline
9 & 0.204215 & 1.6464 & 0.052251 \tabularnewline
10 & -0.112721 & -0.9088 & 0.18341 \tabularnewline
11 & -0.027392 & -0.2208 & 0.412955 \tabularnewline
12 & -0.288796 & -2.3284 & 0.011508 \tabularnewline
13 & 0.13768 & 1.11 & 0.135543 \tabularnewline
14 & 0.008899 & 0.0717 & 0.471511 \tabularnewline
15 & -0.156433 & -1.2612 & 0.105872 \tabularnewline
16 & -0.060133 & -0.4848 & 0.31472 \tabularnewline
17 & -0.047493 & -0.3829 & 0.351523 \tabularnewline
18 & -0.090143 & -0.7268 & 0.234994 \tabularnewline
19 & -0.041263 & -0.3327 & 0.370226 \tabularnewline
20 & 0.033857 & 0.273 & 0.392873 \tabularnewline
21 & -0.078396 & -0.632 & 0.264786 \tabularnewline
22 & 0.101755 & 0.8204 & 0.207501 \tabularnewline
23 & -0.071434 & -0.5759 & 0.283329 \tabularnewline
24 & -0.015192 & -0.1225 & 0.451449 \tabularnewline
25 & 0.161517 & 1.3022 & 0.098724 \tabularnewline
26 & -0.075995 & -0.6127 & 0.271109 \tabularnewline
27 & -0.10605 & -0.855 & 0.197844 \tabularnewline
28 & 0.050855 & 0.41 & 0.341574 \tabularnewline
29 & -0.101083 & -0.815 & 0.209037 \tabularnewline
30 & 0.011723 & 0.0945 & 0.462495 \tabularnewline
31 & -0.01405 & -0.1133 & 0.455081 \tabularnewline
32 & -0.032292 & -0.2603 & 0.397711 \tabularnewline
33 & 0.012832 & 0.1035 & 0.45896 \tabularnewline
34 & -0.047697 & -0.3845 & 0.350914 \tabularnewline
35 & 0.066448 & 0.5357 & 0.296991 \tabularnewline
36 & -0.041828 & -0.3372 & 0.368517 \tabularnewline
37 & 0.073285 & 0.5908 & 0.278337 \tabularnewline
38 & 0.021747 & 0.1753 & 0.430683 \tabularnewline
39 & -0.107004 & -0.8627 & 0.195739 \tabularnewline
40 & -0.087857 & -0.7083 & 0.240637 \tabularnewline
41 & 0.028973 & 0.2336 & 0.40802 \tabularnewline
42 & -0.026922 & -0.217 & 0.414425 \tabularnewline
43 & -0.026613 & -0.2146 & 0.41539 \tabularnewline
44 & -0.06257 & -0.5045 & 0.307823 \tabularnewline
45 & -0.01702 & -0.1372 & 0.445641 \tabularnewline
46 & -0.015463 & -0.1247 & 0.450587 \tabularnewline
47 & -0.07389 & -0.5957 & 0.276716 \tabularnewline
48 & 0.021316 & 0.1719 & 0.432043 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=232214&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]0.485339[/C][C]3.9129[/C][C]0.00011[/C][/ROW]
[ROW][C]2[/C][C]0.091441[/C][C]0.7372[/C][C]0.231822[/C][/ROW]
[ROW][C]3[/C][C]-0.258259[/C][C]-2.0821[/C][C]0.020635[/C][/ROW]
[ROW][C]4[/C][C]0.251711[/C][C]2.0294[/C][C]0.02326[/C][/ROW]
[ROW][C]5[/C][C]-0.04138[/C][C]-0.3336[/C][C]0.369872[/C][/ROW]
[ROW][C]6[/C][C]-0.07541[/C][C]-0.608[/C][C]0.272661[/C][/ROW]
[ROW][C]7[/C][C]0.08511[/C][C]0.6862[/C][C]0.247521[/C][/ROW]
[ROW][C]8[/C][C]-0.052767[/C][C]-0.4254[/C][C]0.335966[/C][/ROW]
[ROW][C]9[/C][C]0.204215[/C][C]1.6464[/C][C]0.052251[/C][/ROW]
[ROW][C]10[/C][C]-0.112721[/C][C]-0.9088[/C][C]0.18341[/C][/ROW]
[ROW][C]11[/C][C]-0.027392[/C][C]-0.2208[/C][C]0.412955[/C][/ROW]
[ROW][C]12[/C][C]-0.288796[/C][C]-2.3284[/C][C]0.011508[/C][/ROW]
[ROW][C]13[/C][C]0.13768[/C][C]1.11[/C][C]0.135543[/C][/ROW]
[ROW][C]14[/C][C]0.008899[/C][C]0.0717[/C][C]0.471511[/C][/ROW]
[ROW][C]15[/C][C]-0.156433[/C][C]-1.2612[/C][C]0.105872[/C][/ROW]
[ROW][C]16[/C][C]-0.060133[/C][C]-0.4848[/C][C]0.31472[/C][/ROW]
[ROW][C]17[/C][C]-0.047493[/C][C]-0.3829[/C][C]0.351523[/C][/ROW]
[ROW][C]18[/C][C]-0.090143[/C][C]-0.7268[/C][C]0.234994[/C][/ROW]
[ROW][C]19[/C][C]-0.041263[/C][C]-0.3327[/C][C]0.370226[/C][/ROW]
[ROW][C]20[/C][C]0.033857[/C][C]0.273[/C][C]0.392873[/C][/ROW]
[ROW][C]21[/C][C]-0.078396[/C][C]-0.632[/C][C]0.264786[/C][/ROW]
[ROW][C]22[/C][C]0.101755[/C][C]0.8204[/C][C]0.207501[/C][/ROW]
[ROW][C]23[/C][C]-0.071434[/C][C]-0.5759[/C][C]0.283329[/C][/ROW]
[ROW][C]24[/C][C]-0.015192[/C][C]-0.1225[/C][C]0.451449[/C][/ROW]
[ROW][C]25[/C][C]0.161517[/C][C]1.3022[/C][C]0.098724[/C][/ROW]
[ROW][C]26[/C][C]-0.075995[/C][C]-0.6127[/C][C]0.271109[/C][/ROW]
[ROW][C]27[/C][C]-0.10605[/C][C]-0.855[/C][C]0.197844[/C][/ROW]
[ROW][C]28[/C][C]0.050855[/C][C]0.41[/C][C]0.341574[/C][/ROW]
[ROW][C]29[/C][C]-0.101083[/C][C]-0.815[/C][C]0.209037[/C][/ROW]
[ROW][C]30[/C][C]0.011723[/C][C]0.0945[/C][C]0.462495[/C][/ROW]
[ROW][C]31[/C][C]-0.01405[/C][C]-0.1133[/C][C]0.455081[/C][/ROW]
[ROW][C]32[/C][C]-0.032292[/C][C]-0.2603[/C][C]0.397711[/C][/ROW]
[ROW][C]33[/C][C]0.012832[/C][C]0.1035[/C][C]0.45896[/C][/ROW]
[ROW][C]34[/C][C]-0.047697[/C][C]-0.3845[/C][C]0.350914[/C][/ROW]
[ROW][C]35[/C][C]0.066448[/C][C]0.5357[/C][C]0.296991[/C][/ROW]
[ROW][C]36[/C][C]-0.041828[/C][C]-0.3372[/C][C]0.368517[/C][/ROW]
[ROW][C]37[/C][C]0.073285[/C][C]0.5908[/C][C]0.278337[/C][/ROW]
[ROW][C]38[/C][C]0.021747[/C][C]0.1753[/C][C]0.430683[/C][/ROW]
[ROW][C]39[/C][C]-0.107004[/C][C]-0.8627[/C][C]0.195739[/C][/ROW]
[ROW][C]40[/C][C]-0.087857[/C][C]-0.7083[/C][C]0.240637[/C][/ROW]
[ROW][C]41[/C][C]0.028973[/C][C]0.2336[/C][C]0.40802[/C][/ROW]
[ROW][C]42[/C][C]-0.026922[/C][C]-0.217[/C][C]0.414425[/C][/ROW]
[ROW][C]43[/C][C]-0.026613[/C][C]-0.2146[/C][C]0.41539[/C][/ROW]
[ROW][C]44[/C][C]-0.06257[/C][C]-0.5045[/C][C]0.307823[/C][/ROW]
[ROW][C]45[/C][C]-0.01702[/C][C]-0.1372[/C][C]0.445641[/C][/ROW]
[ROW][C]46[/C][C]-0.015463[/C][C]-0.1247[/C][C]0.450587[/C][/ROW]
[ROW][C]47[/C][C]-0.07389[/C][C]-0.5957[/C][C]0.276716[/C][/ROW]
[ROW][C]48[/C][C]0.021316[/C][C]0.1719[/C][C]0.432043[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=232214&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=232214&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 0.485339 3.9129 0.00011 2 0.091441 0.7372 0.231822 3 -0.258259 -2.0821 0.020635 4 0.251711 2.0294 0.02326 5 -0.04138 -0.3336 0.369872 6 -0.07541 -0.608 0.272661 7 0.08511 0.6862 0.247521 8 -0.052767 -0.4254 0.335966 9 0.204215 1.6464 0.052251 10 -0.112721 -0.9088 0.18341 11 -0.027392 -0.2208 0.412955 12 -0.288796 -2.3284 0.011508 13 0.13768 1.11 0.135543 14 0.008899 0.0717 0.471511 15 -0.156433 -1.2612 0.105872 16 -0.060133 -0.4848 0.31472 17 -0.047493 -0.3829 0.351523 18 -0.090143 -0.7268 0.234994 19 -0.041263 -0.3327 0.370226 20 0.033857 0.273 0.392873 21 -0.078396 -0.632 0.264786 22 0.101755 0.8204 0.207501 23 -0.071434 -0.5759 0.283329 24 -0.015192 -0.1225 0.451449 25 0.161517 1.3022 0.098724 26 -0.075995 -0.6127 0.271109 27 -0.10605 -0.855 0.197844 28 0.050855 0.41 0.341574 29 -0.101083 -0.815 0.209037 30 0.011723 0.0945 0.462495 31 -0.01405 -0.1133 0.455081 32 -0.032292 -0.2603 0.397711 33 0.012832 0.1035 0.45896 34 -0.047697 -0.3845 0.350914 35 0.066448 0.5357 0.296991 36 -0.041828 -0.3372 0.368517 37 0.073285 0.5908 0.278337 38 0.021747 0.1753 0.430683 39 -0.107004 -0.8627 0.195739 40 -0.087857 -0.7083 0.240637 41 0.028973 0.2336 0.40802 42 -0.026922 -0.217 0.414425 43 -0.026613 -0.2146 0.41539 44 -0.06257 -0.5045 0.307823 45 -0.01702 -0.1372 0.445641 46 -0.015463 -0.1247 0.450587 47 -0.07389 -0.5957 0.276716 48 0.021316 0.1719 0.432043

 PNG link Postscript link PDF link

 PNG link Postscript link PDF link

 PNG link Postscript link PDF link

Parameters (Session):
par1 = 48 ; par2 = 1 ; par3 = 0 ; par4 = 1 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ;
Parameters (R input):
par1 = 48 ; par2 = 1 ; par3 = 0 ; par4 = 1 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ; par8 = ;
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 (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')