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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
QR Codes:

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 Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time5 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 Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time5 seconds
R Server'Sir Ronald Aylmer Fisher' @ fisher.wessa.net







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.4853393.91290.00011
20.3054552.46270.008225
3-0.016701-0.13460.446653
40.1076990.86830.194214
50.0346070.2790.390561
60.0533330.430.334314
70.0058460.04710.481275
80.0014030.01130.495504
90.1308451.05490.147686
100.0597880.4820.315704
110.0614760.49560.310911
12-0.249441-2.01110.024235
13-0.120647-0.97270.167157
14-0.149319-1.20380.116507
15-0.027273-0.21990.413327
16-0.182646-1.47250.072851
17-0.15875-1.27990.102568
18-0.210973-1.70090.046869
19-0.144148-1.16220.12471
20-0.083594-0.6740.251365
21-0.134531-1.08460.141048
22-0.049371-0.3980.345953
23-0.122147-0.98480.164192
240.0364910.29420.384771
250.0199950.16120.436215
260.072540.58480.280342
27-0.09021-0.72730.234829
28-0.025089-0.20230.420167
29-0.084894-0.68440.248065
300.0097820.07890.46869
31-0.006968-0.05620.477686
320.0049650.040.484098
330.0416770.3360.368972
340.0112970.09110.463855
350.1138380.91780.18106
360.046170.37220.355463
370.0946910.76340.223986
38-0.00692-0.05580.477839
390.0686070.55310.291036
40-0.078998-0.63690.263213
41-0.02672-0.21540.415055
42-0.078477-0.63270.264574
43-0.024241-0.19540.422831
44-0.054443-0.43890.331081
45-0.033743-0.2720.393226
46-0.018488-0.14910.440985
47-0.057414-0.46290.322496
48-0.014184-0.11440.454654

\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 kACF(k)T-STATP-value
10.4853393.91290.00011
20.3054552.46270.008225
3-0.016701-0.13460.446653
40.1076990.86830.194214
50.0346070.2790.390561
60.0533330.430.334314
70.0058460.04710.481275
80.0014030.01130.495504
90.1308451.05490.147686
100.0597880.4820.315704
110.0614760.49560.310911
12-0.249441-2.01110.024235
13-0.120647-0.97270.167157
14-0.149319-1.20380.116507
15-0.027273-0.21990.413327
16-0.182646-1.47250.072851
17-0.15875-1.27990.102568
18-0.210973-1.70090.046869
19-0.144148-1.16220.12471
20-0.083594-0.6740.251365
21-0.134531-1.08460.141048
22-0.049371-0.3980.345953
23-0.122147-0.98480.164192
240.0364910.29420.384771
250.0199950.16120.436215
260.072540.58480.280342
27-0.09021-0.72730.234829
28-0.025089-0.20230.420167
29-0.084894-0.68440.248065
300.0097820.07890.46869
31-0.006968-0.05620.477686
320.0049650.040.484098
330.0416770.3360.368972
340.0112970.09110.463855
350.1138380.91780.18106
360.046170.37220.355463
370.0946910.76340.223986
38-0.00692-0.05580.477839
390.0686070.55310.291036
40-0.078998-0.63690.263213
41-0.02672-0.21540.415055
42-0.078477-0.63270.264574
43-0.024241-0.19540.422831
44-0.054443-0.43890.331081
45-0.033743-0.2720.393226
46-0.018488-0.14910.440985
47-0.057414-0.46290.322496
48-0.014184-0.11440.454654







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.4853393.91290.00011
20.0914410.73720.231822
3-0.258259-2.08210.020635
40.2517112.02940.02326
5-0.04138-0.33360.369872
6-0.07541-0.6080.272661
70.085110.68620.247521
8-0.052767-0.42540.335966
90.2042151.64640.052251
10-0.112721-0.90880.18341
11-0.027392-0.22080.412955
12-0.288796-2.32840.011508
130.137681.110.135543
140.0088990.07170.471511
15-0.156433-1.26120.105872
16-0.060133-0.48480.31472
17-0.047493-0.38290.351523
18-0.090143-0.72680.234994
19-0.041263-0.33270.370226
200.0338570.2730.392873
21-0.078396-0.6320.264786
220.1017550.82040.207501
23-0.071434-0.57590.283329
24-0.015192-0.12250.451449
250.1615171.30220.098724
26-0.075995-0.61270.271109
27-0.10605-0.8550.197844
280.0508550.410.341574
29-0.101083-0.8150.209037
300.0117230.09450.462495
31-0.01405-0.11330.455081
32-0.032292-0.26030.397711
330.0128320.10350.45896
34-0.047697-0.38450.350914
350.0664480.53570.296991
36-0.041828-0.33720.368517
370.0732850.59080.278337
380.0217470.17530.430683
39-0.107004-0.86270.195739
40-0.087857-0.70830.240637
410.0289730.23360.40802
42-0.026922-0.2170.414425
43-0.026613-0.21460.41539
44-0.06257-0.50450.307823
45-0.01702-0.13720.445641
46-0.015463-0.12470.450587
47-0.07389-0.59570.276716
480.0213160.17190.432043

\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 kPACF(k)T-STATP-value
10.4853393.91290.00011
20.0914410.73720.231822
3-0.258259-2.08210.020635
40.2517112.02940.02326
5-0.04138-0.33360.369872
6-0.07541-0.6080.272661
70.085110.68620.247521
8-0.052767-0.42540.335966
90.2042151.64640.052251
10-0.112721-0.90880.18341
11-0.027392-0.22080.412955
12-0.288796-2.32840.011508
130.137681.110.135543
140.0088990.07170.471511
15-0.156433-1.26120.105872
16-0.060133-0.48480.31472
17-0.047493-0.38290.351523
18-0.090143-0.72680.234994
19-0.041263-0.33270.370226
200.0338570.2730.392873
21-0.078396-0.6320.264786
220.1017550.82040.207501
23-0.071434-0.57590.283329
24-0.015192-0.12250.451449
250.1615171.30220.098724
26-0.075995-0.61270.271109
27-0.10605-0.8550.197844
280.0508550.410.341574
29-0.101083-0.8150.209037
300.0117230.09450.462495
31-0.01405-0.11330.455081
32-0.032292-0.26030.397711
330.0128320.10350.45896
34-0.047697-0.38450.350914
350.0664480.53570.296991
36-0.041828-0.33720.368517
370.0732850.59080.278337
380.0217470.17530.430683
39-0.107004-0.86270.195739
40-0.087857-0.70830.240637
410.0289730.23360.40802
42-0.026922-0.2170.414425
43-0.026613-0.21460.41539
44-0.06257-0.50450.307823
45-0.01702-0.13720.445641
46-0.015463-0.12470.450587
47-0.07389-0.59570.276716
480.0213160.17190.432043



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 <- 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)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Autocorrelation Function',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Time lag k',header=TRUE)
a<-table.element(a,hyperlink('basics.htm','ACF(k)','click here for more information about the Autocorrelation Function'),header=TRUE)
a<-table.element(a,'T-STAT',header=TRUE)
a<-table.element(a,'P-value',header=TRUE)
a<-table.row.end(a)
for (i in 2:(par1+1)) {
a<-table.row.start(a)
a<-table.element(a,i-1,header=TRUE)
a<-table.element(a,round(myacf[i],6))
mytstat <- myacf[i]*sqrtn
a<-table.element(a,round(mytstat,4))
a<-table.element(a,round(1-pt(abs(mytstat),lengthx),6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Partial Autocorrelation Function',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Time lag k',header=TRUE)
a<-table.element(a,hyperlink('basics.htm','PACF(k)','click here for more information about the Partial Autocorrelation Function'),header=TRUE)
a<-table.element(a,'T-STAT',header=TRUE)
a<-table.element(a,'P-value',header=TRUE)
a<-table.row.end(a)
for (i in 1:par1) {
a<-table.row.start(a)
a<-table.element(a,i,header=TRUE)
a<-table.element(a,round(mypacf[i],6))
mytstat <- mypacf[i]*sqrtn
a<-table.element(a,round(mytstat,4))
a<-table.element(a,round(1-pt(abs(mytstat),lengthx),6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')