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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 computationSun, 04 Dec 2011 16:56:58 -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/2011/Dec/04/t1323035829vblhwcv168ftgka.htm/, Retrieved Sun, 05 May 2024 15:49:29 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=150784, Retrieved Sun, 05 May 2024 15:49:29 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact85
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [data set] [2008-12-01 19:54:57] [b98453cac15ba1066b407e146608df68]
- RMP   [(Partial) Autocorrelation Function] [Unemployment] [2010-11-29 09:09:37] [b98453cac15ba1066b407e146608df68]
- R  D      [(Partial) Autocorrelation Function] [] [2011-12-04 21:56:58] [c092f3a3bdd85c7279ddab6c8c6c9261] [Current]
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Dataseries X:
579
572
560
551
537
541
588
607
599
578
563
566
561
554
540
526
512
505
554
584
569
540
522
526
527
516
503
489
479
475
524
552
532
511
492
492
493
481
462
457
442
439
488
521
501
485
464
460
467
460
448
443
436
431
484
510
513
503
471
471




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Herman Ole Andreas Wold' @ wold.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 & 1 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=150784&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=150784&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=150784&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 time1 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.3757462.88620.00272
2-0.282137-2.16710.017137
3-0.415974-3.19520.001122
4-0.29117-2.23650.014556
50.0324220.2490.402097
60.1478081.13530.130413
70.0476540.3660.357824
8-0.173242-1.33070.094205
9-0.332485-2.55390.006628
10-0.284685-2.18670.016371
110.2803242.15320.017701
120.7826186.01140
130.3477142.67080.004881
14-0.212006-1.62840.054379
15-0.360674-2.77040.003738
16-0.262414-2.01560.0242
170.0141750.10890.456832
180.1073950.82490.20637
190.0381960.29340.385126
20-0.105335-0.80910.210857
21-0.241413-1.85430.034346
22-0.202684-1.55680.062428
230.1961811.50690.068587
240.5632644.32653e-05
250.2660372.04350.02274
26-0.13445-1.03270.152973
27-0.272508-2.09320.020321
28-0.206852-1.58890.058718
29-0.003883-0.02980.488154
300.069980.53750.296462
310.0369670.2840.388721
32-0.066165-0.50820.306597
33-0.150139-1.15320.126732
34-0.129663-0.9960.161669
350.1094750.84090.2019
360.3619382.78010.00364
370.1958741.50450.068889
38-0.071861-0.5520.291525
39-0.180734-1.38820.085142
40-0.16049-1.23270.111279
41-0.017543-0.13480.446633
420.0372910.28640.387772
430.0306360.23530.407388
44-0.022179-0.17040.432654
45-0.058199-0.4470.328244
46-0.046991-0.36090.359716
470.0315380.24220.404714
480.1638721.25870.106544

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.375746 & 2.8862 & 0.00272 \tabularnewline
2 & -0.282137 & -2.1671 & 0.017137 \tabularnewline
3 & -0.415974 & -3.1952 & 0.001122 \tabularnewline
4 & -0.29117 & -2.2365 & 0.014556 \tabularnewline
5 & 0.032422 & 0.249 & 0.402097 \tabularnewline
6 & 0.147808 & 1.1353 & 0.130413 \tabularnewline
7 & 0.047654 & 0.366 & 0.357824 \tabularnewline
8 & -0.173242 & -1.3307 & 0.094205 \tabularnewline
9 & -0.332485 & -2.5539 & 0.006628 \tabularnewline
10 & -0.284685 & -2.1867 & 0.016371 \tabularnewline
11 & 0.280324 & 2.1532 & 0.017701 \tabularnewline
12 & 0.782618 & 6.0114 & 0 \tabularnewline
13 & 0.347714 & 2.6708 & 0.004881 \tabularnewline
14 & -0.212006 & -1.6284 & 0.054379 \tabularnewline
15 & -0.360674 & -2.7704 & 0.003738 \tabularnewline
16 & -0.262414 & -2.0156 & 0.0242 \tabularnewline
17 & 0.014175 & 0.1089 & 0.456832 \tabularnewline
18 & 0.107395 & 0.8249 & 0.20637 \tabularnewline
19 & 0.038196 & 0.2934 & 0.385126 \tabularnewline
20 & -0.105335 & -0.8091 & 0.210857 \tabularnewline
21 & -0.241413 & -1.8543 & 0.034346 \tabularnewline
22 & -0.202684 & -1.5568 & 0.062428 \tabularnewline
23 & 0.196181 & 1.5069 & 0.068587 \tabularnewline
24 & 0.563264 & 4.3265 & 3e-05 \tabularnewline
25 & 0.266037 & 2.0435 & 0.02274 \tabularnewline
26 & -0.13445 & -1.0327 & 0.152973 \tabularnewline
27 & -0.272508 & -2.0932 & 0.020321 \tabularnewline
28 & -0.206852 & -1.5889 & 0.058718 \tabularnewline
29 & -0.003883 & -0.0298 & 0.488154 \tabularnewline
30 & 0.06998 & 0.5375 & 0.296462 \tabularnewline
31 & 0.036967 & 0.284 & 0.388721 \tabularnewline
32 & -0.066165 & -0.5082 & 0.306597 \tabularnewline
33 & -0.150139 & -1.1532 & 0.126732 \tabularnewline
34 & -0.129663 & -0.996 & 0.161669 \tabularnewline
35 & 0.109475 & 0.8409 & 0.2019 \tabularnewline
36 & 0.361938 & 2.7801 & 0.00364 \tabularnewline
37 & 0.195874 & 1.5045 & 0.068889 \tabularnewline
38 & -0.071861 & -0.552 & 0.291525 \tabularnewline
39 & -0.180734 & -1.3882 & 0.085142 \tabularnewline
40 & -0.16049 & -1.2327 & 0.111279 \tabularnewline
41 & -0.017543 & -0.1348 & 0.446633 \tabularnewline
42 & 0.037291 & 0.2864 & 0.387772 \tabularnewline
43 & 0.030636 & 0.2353 & 0.407388 \tabularnewline
44 & -0.022179 & -0.1704 & 0.432654 \tabularnewline
45 & -0.058199 & -0.447 & 0.328244 \tabularnewline
46 & -0.046991 & -0.3609 & 0.359716 \tabularnewline
47 & 0.031538 & 0.2422 & 0.404714 \tabularnewline
48 & 0.163872 & 1.2587 & 0.106544 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=150784&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]0.375746[/C][C]2.8862[/C][C]0.00272[/C][/ROW]
[ROW][C]2[/C][C]-0.282137[/C][C]-2.1671[/C][C]0.017137[/C][/ROW]
[ROW][C]3[/C][C]-0.415974[/C][C]-3.1952[/C][C]0.001122[/C][/ROW]
[ROW][C]4[/C][C]-0.29117[/C][C]-2.2365[/C][C]0.014556[/C][/ROW]
[ROW][C]5[/C][C]0.032422[/C][C]0.249[/C][C]0.402097[/C][/ROW]
[ROW][C]6[/C][C]0.147808[/C][C]1.1353[/C][C]0.130413[/C][/ROW]
[ROW][C]7[/C][C]0.047654[/C][C]0.366[/C][C]0.357824[/C][/ROW]
[ROW][C]8[/C][C]-0.173242[/C][C]-1.3307[/C][C]0.094205[/C][/ROW]
[ROW][C]9[/C][C]-0.332485[/C][C]-2.5539[/C][C]0.006628[/C][/ROW]
[ROW][C]10[/C][C]-0.284685[/C][C]-2.1867[/C][C]0.016371[/C][/ROW]
[ROW][C]11[/C][C]0.280324[/C][C]2.1532[/C][C]0.017701[/C][/ROW]
[ROW][C]12[/C][C]0.782618[/C][C]6.0114[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]0.347714[/C][C]2.6708[/C][C]0.004881[/C][/ROW]
[ROW][C]14[/C][C]-0.212006[/C][C]-1.6284[/C][C]0.054379[/C][/ROW]
[ROW][C]15[/C][C]-0.360674[/C][C]-2.7704[/C][C]0.003738[/C][/ROW]
[ROW][C]16[/C][C]-0.262414[/C][C]-2.0156[/C][C]0.0242[/C][/ROW]
[ROW][C]17[/C][C]0.014175[/C][C]0.1089[/C][C]0.456832[/C][/ROW]
[ROW][C]18[/C][C]0.107395[/C][C]0.8249[/C][C]0.20637[/C][/ROW]
[ROW][C]19[/C][C]0.038196[/C][C]0.2934[/C][C]0.385126[/C][/ROW]
[ROW][C]20[/C][C]-0.105335[/C][C]-0.8091[/C][C]0.210857[/C][/ROW]
[ROW][C]21[/C][C]-0.241413[/C][C]-1.8543[/C][C]0.034346[/C][/ROW]
[ROW][C]22[/C][C]-0.202684[/C][C]-1.5568[/C][C]0.062428[/C][/ROW]
[ROW][C]23[/C][C]0.196181[/C][C]1.5069[/C][C]0.068587[/C][/ROW]
[ROW][C]24[/C][C]0.563264[/C][C]4.3265[/C][C]3e-05[/C][/ROW]
[ROW][C]25[/C][C]0.266037[/C][C]2.0435[/C][C]0.02274[/C][/ROW]
[ROW][C]26[/C][C]-0.13445[/C][C]-1.0327[/C][C]0.152973[/C][/ROW]
[ROW][C]27[/C][C]-0.272508[/C][C]-2.0932[/C][C]0.020321[/C][/ROW]
[ROW][C]28[/C][C]-0.206852[/C][C]-1.5889[/C][C]0.058718[/C][/ROW]
[ROW][C]29[/C][C]-0.003883[/C][C]-0.0298[/C][C]0.488154[/C][/ROW]
[ROW][C]30[/C][C]0.06998[/C][C]0.5375[/C][C]0.296462[/C][/ROW]
[ROW][C]31[/C][C]0.036967[/C][C]0.284[/C][C]0.388721[/C][/ROW]
[ROW][C]32[/C][C]-0.066165[/C][C]-0.5082[/C][C]0.306597[/C][/ROW]
[ROW][C]33[/C][C]-0.150139[/C][C]-1.1532[/C][C]0.126732[/C][/ROW]
[ROW][C]34[/C][C]-0.129663[/C][C]-0.996[/C][C]0.161669[/C][/ROW]
[ROW][C]35[/C][C]0.109475[/C][C]0.8409[/C][C]0.2019[/C][/ROW]
[ROW][C]36[/C][C]0.361938[/C][C]2.7801[/C][C]0.00364[/C][/ROW]
[ROW][C]37[/C][C]0.195874[/C][C]1.5045[/C][C]0.068889[/C][/ROW]
[ROW][C]38[/C][C]-0.071861[/C][C]-0.552[/C][C]0.291525[/C][/ROW]
[ROW][C]39[/C][C]-0.180734[/C][C]-1.3882[/C][C]0.085142[/C][/ROW]
[ROW][C]40[/C][C]-0.16049[/C][C]-1.2327[/C][C]0.111279[/C][/ROW]
[ROW][C]41[/C][C]-0.017543[/C][C]-0.1348[/C][C]0.446633[/C][/ROW]
[ROW][C]42[/C][C]0.037291[/C][C]0.2864[/C][C]0.387772[/C][/ROW]
[ROW][C]43[/C][C]0.030636[/C][C]0.2353[/C][C]0.407388[/C][/ROW]
[ROW][C]44[/C][C]-0.022179[/C][C]-0.1704[/C][C]0.432654[/C][/ROW]
[ROW][C]45[/C][C]-0.058199[/C][C]-0.447[/C][C]0.328244[/C][/ROW]
[ROW][C]46[/C][C]-0.046991[/C][C]-0.3609[/C][C]0.359716[/C][/ROW]
[ROW][C]47[/C][C]0.031538[/C][C]0.2422[/C][C]0.404714[/C][/ROW]
[ROW][C]48[/C][C]0.163872[/C][C]1.2587[/C][C]0.106544[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=150784&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=150784&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
10.3757462.88620.00272
2-0.282137-2.16710.017137
3-0.415974-3.19520.001122
4-0.29117-2.23650.014556
50.0324220.2490.402097
60.1478081.13530.130413
70.0476540.3660.357824
8-0.173242-1.33070.094205
9-0.332485-2.55390.006628
10-0.284685-2.18670.016371
110.2803242.15320.017701
120.7826186.01140
130.3477142.67080.004881
14-0.212006-1.62840.054379
15-0.360674-2.77040.003738
16-0.262414-2.01560.0242
170.0141750.10890.456832
180.1073950.82490.20637
190.0381960.29340.385126
20-0.105335-0.80910.210857
21-0.241413-1.85430.034346
22-0.202684-1.55680.062428
230.1961811.50690.068587
240.5632644.32653e-05
250.2660372.04350.02274
26-0.13445-1.03270.152973
27-0.272508-2.09320.020321
28-0.206852-1.58890.058718
29-0.003883-0.02980.488154
300.069980.53750.296462
310.0369670.2840.388721
32-0.066165-0.50820.306597
33-0.150139-1.15320.126732
34-0.129663-0.9960.161669
350.1094750.84090.2019
360.3619382.78010.00364
370.1958741.50450.068889
38-0.071861-0.5520.291525
39-0.180734-1.38820.085142
40-0.16049-1.23270.111279
41-0.017543-0.13480.446633
420.0372910.28640.387772
430.0306360.23530.407388
44-0.022179-0.17040.432654
45-0.058199-0.4470.328244
46-0.046991-0.36090.359716
470.0315380.24220.404714
480.1638721.25870.106544







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.3757462.88620.00272
2-0.492914-3.78610.00018
3-0.111508-0.85650.197591
4-0.249525-1.91660.030066
50.0762010.58530.280285
6-0.186013-1.42880.079168
7-0.056502-0.4340.332935
8-0.330966-2.54220.006831
9-0.316028-2.42750.009138
10-0.556146-4.27183.6e-05
110.2521931.93710.028761
120.3479712.67280.004856
13-0.189828-1.45810.075059
14-0.012655-0.09720.461446
150.1867541.43450.078356
160.0088520.0680.47301
17-0.038518-0.29590.384188
18-0.060693-0.46620.321398
190.055730.42810.335079
20-0.130333-1.00110.160432
210.0858710.65960.256043
220.0766230.58860.279204
23-0.110361-0.84770.200016
24-0.133442-1.0250.154776
250.0028980.02230.491158
260.0832190.63920.262578
27-0.121059-0.92990.178113
28-0.017397-0.13360.447077
29-0.016687-0.12820.449222
300.0184530.14170.443883
31-0.033666-0.25860.398425
320.0143740.11040.45623
330.063630.48880.313414
34-0.050214-0.38570.350553
35-0.12028-0.92390.179654
360.0203520.15630.438155
370.0199960.15360.439227
38-0.089269-0.68570.247797
39-0.085016-0.6530.25814
400.0137820.10590.458026
41-0.015545-0.11940.452681
42-0.13267-1.01910.156168
430.0219820.16880.433248
440.0423630.32540.373017
450.0009010.00690.497252
46-0.011975-0.0920.463512
47-0.000292-0.00220.499109
48-0.094317-0.72450.235822

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.375746 & 2.8862 & 0.00272 \tabularnewline
2 & -0.492914 & -3.7861 & 0.00018 \tabularnewline
3 & -0.111508 & -0.8565 & 0.197591 \tabularnewline
4 & -0.249525 & -1.9166 & 0.030066 \tabularnewline
5 & 0.076201 & 0.5853 & 0.280285 \tabularnewline
6 & -0.186013 & -1.4288 & 0.079168 \tabularnewline
7 & -0.056502 & -0.434 & 0.332935 \tabularnewline
8 & -0.330966 & -2.5422 & 0.006831 \tabularnewline
9 & -0.316028 & -2.4275 & 0.009138 \tabularnewline
10 & -0.556146 & -4.2718 & 3.6e-05 \tabularnewline
11 & 0.252193 & 1.9371 & 0.028761 \tabularnewline
12 & 0.347971 & 2.6728 & 0.004856 \tabularnewline
13 & -0.189828 & -1.4581 & 0.075059 \tabularnewline
14 & -0.012655 & -0.0972 & 0.461446 \tabularnewline
15 & 0.186754 & 1.4345 & 0.078356 \tabularnewline
16 & 0.008852 & 0.068 & 0.47301 \tabularnewline
17 & -0.038518 & -0.2959 & 0.384188 \tabularnewline
18 & -0.060693 & -0.4662 & 0.321398 \tabularnewline
19 & 0.05573 & 0.4281 & 0.335079 \tabularnewline
20 & -0.130333 & -1.0011 & 0.160432 \tabularnewline
21 & 0.085871 & 0.6596 & 0.256043 \tabularnewline
22 & 0.076623 & 0.5886 & 0.279204 \tabularnewline
23 & -0.110361 & -0.8477 & 0.200016 \tabularnewline
24 & -0.133442 & -1.025 & 0.154776 \tabularnewline
25 & 0.002898 & 0.0223 & 0.491158 \tabularnewline
26 & 0.083219 & 0.6392 & 0.262578 \tabularnewline
27 & -0.121059 & -0.9299 & 0.178113 \tabularnewline
28 & -0.017397 & -0.1336 & 0.447077 \tabularnewline
29 & -0.016687 & -0.1282 & 0.449222 \tabularnewline
30 & 0.018453 & 0.1417 & 0.443883 \tabularnewline
31 & -0.033666 & -0.2586 & 0.398425 \tabularnewline
32 & 0.014374 & 0.1104 & 0.45623 \tabularnewline
33 & 0.06363 & 0.4888 & 0.313414 \tabularnewline
34 & -0.050214 & -0.3857 & 0.350553 \tabularnewline
35 & -0.12028 & -0.9239 & 0.179654 \tabularnewline
36 & 0.020352 & 0.1563 & 0.438155 \tabularnewline
37 & 0.019996 & 0.1536 & 0.439227 \tabularnewline
38 & -0.089269 & -0.6857 & 0.247797 \tabularnewline
39 & -0.085016 & -0.653 & 0.25814 \tabularnewline
40 & 0.013782 & 0.1059 & 0.458026 \tabularnewline
41 & -0.015545 & -0.1194 & 0.452681 \tabularnewline
42 & -0.13267 & -1.0191 & 0.156168 \tabularnewline
43 & 0.021982 & 0.1688 & 0.433248 \tabularnewline
44 & 0.042363 & 0.3254 & 0.373017 \tabularnewline
45 & 0.000901 & 0.0069 & 0.497252 \tabularnewline
46 & -0.011975 & -0.092 & 0.463512 \tabularnewline
47 & -0.000292 & -0.0022 & 0.499109 \tabularnewline
48 & -0.094317 & -0.7245 & 0.235822 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=150784&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]0.375746[/C][C]2.8862[/C][C]0.00272[/C][/ROW]
[ROW][C]2[/C][C]-0.492914[/C][C]-3.7861[/C][C]0.00018[/C][/ROW]
[ROW][C]3[/C][C]-0.111508[/C][C]-0.8565[/C][C]0.197591[/C][/ROW]
[ROW][C]4[/C][C]-0.249525[/C][C]-1.9166[/C][C]0.030066[/C][/ROW]
[ROW][C]5[/C][C]0.076201[/C][C]0.5853[/C][C]0.280285[/C][/ROW]
[ROW][C]6[/C][C]-0.186013[/C][C]-1.4288[/C][C]0.079168[/C][/ROW]
[ROW][C]7[/C][C]-0.056502[/C][C]-0.434[/C][C]0.332935[/C][/ROW]
[ROW][C]8[/C][C]-0.330966[/C][C]-2.5422[/C][C]0.006831[/C][/ROW]
[ROW][C]9[/C][C]-0.316028[/C][C]-2.4275[/C][C]0.009138[/C][/ROW]
[ROW][C]10[/C][C]-0.556146[/C][C]-4.2718[/C][C]3.6e-05[/C][/ROW]
[ROW][C]11[/C][C]0.252193[/C][C]1.9371[/C][C]0.028761[/C][/ROW]
[ROW][C]12[/C][C]0.347971[/C][C]2.6728[/C][C]0.004856[/C][/ROW]
[ROW][C]13[/C][C]-0.189828[/C][C]-1.4581[/C][C]0.075059[/C][/ROW]
[ROW][C]14[/C][C]-0.012655[/C][C]-0.0972[/C][C]0.461446[/C][/ROW]
[ROW][C]15[/C][C]0.186754[/C][C]1.4345[/C][C]0.078356[/C][/ROW]
[ROW][C]16[/C][C]0.008852[/C][C]0.068[/C][C]0.47301[/C][/ROW]
[ROW][C]17[/C][C]-0.038518[/C][C]-0.2959[/C][C]0.384188[/C][/ROW]
[ROW][C]18[/C][C]-0.060693[/C][C]-0.4662[/C][C]0.321398[/C][/ROW]
[ROW][C]19[/C][C]0.05573[/C][C]0.4281[/C][C]0.335079[/C][/ROW]
[ROW][C]20[/C][C]-0.130333[/C][C]-1.0011[/C][C]0.160432[/C][/ROW]
[ROW][C]21[/C][C]0.085871[/C][C]0.6596[/C][C]0.256043[/C][/ROW]
[ROW][C]22[/C][C]0.076623[/C][C]0.5886[/C][C]0.279204[/C][/ROW]
[ROW][C]23[/C][C]-0.110361[/C][C]-0.8477[/C][C]0.200016[/C][/ROW]
[ROW][C]24[/C][C]-0.133442[/C][C]-1.025[/C][C]0.154776[/C][/ROW]
[ROW][C]25[/C][C]0.002898[/C][C]0.0223[/C][C]0.491158[/C][/ROW]
[ROW][C]26[/C][C]0.083219[/C][C]0.6392[/C][C]0.262578[/C][/ROW]
[ROW][C]27[/C][C]-0.121059[/C][C]-0.9299[/C][C]0.178113[/C][/ROW]
[ROW][C]28[/C][C]-0.017397[/C][C]-0.1336[/C][C]0.447077[/C][/ROW]
[ROW][C]29[/C][C]-0.016687[/C][C]-0.1282[/C][C]0.449222[/C][/ROW]
[ROW][C]30[/C][C]0.018453[/C][C]0.1417[/C][C]0.443883[/C][/ROW]
[ROW][C]31[/C][C]-0.033666[/C][C]-0.2586[/C][C]0.398425[/C][/ROW]
[ROW][C]32[/C][C]0.014374[/C][C]0.1104[/C][C]0.45623[/C][/ROW]
[ROW][C]33[/C][C]0.06363[/C][C]0.4888[/C][C]0.313414[/C][/ROW]
[ROW][C]34[/C][C]-0.050214[/C][C]-0.3857[/C][C]0.350553[/C][/ROW]
[ROW][C]35[/C][C]-0.12028[/C][C]-0.9239[/C][C]0.179654[/C][/ROW]
[ROW][C]36[/C][C]0.020352[/C][C]0.1563[/C][C]0.438155[/C][/ROW]
[ROW][C]37[/C][C]0.019996[/C][C]0.1536[/C][C]0.439227[/C][/ROW]
[ROW][C]38[/C][C]-0.089269[/C][C]-0.6857[/C][C]0.247797[/C][/ROW]
[ROW][C]39[/C][C]-0.085016[/C][C]-0.653[/C][C]0.25814[/C][/ROW]
[ROW][C]40[/C][C]0.013782[/C][C]0.1059[/C][C]0.458026[/C][/ROW]
[ROW][C]41[/C][C]-0.015545[/C][C]-0.1194[/C][C]0.452681[/C][/ROW]
[ROW][C]42[/C][C]-0.13267[/C][C]-1.0191[/C][C]0.156168[/C][/ROW]
[ROW][C]43[/C][C]0.021982[/C][C]0.1688[/C][C]0.433248[/C][/ROW]
[ROW][C]44[/C][C]0.042363[/C][C]0.3254[/C][C]0.373017[/C][/ROW]
[ROW][C]45[/C][C]0.000901[/C][C]0.0069[/C][C]0.497252[/C][/ROW]
[ROW][C]46[/C][C]-0.011975[/C][C]-0.092[/C][C]0.463512[/C][/ROW]
[ROW][C]47[/C][C]-0.000292[/C][C]-0.0022[/C][C]0.499109[/C][/ROW]
[ROW][C]48[/C][C]-0.094317[/C][C]-0.7245[/C][C]0.235822[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=150784&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=150784&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
10.3757462.88620.00272
2-0.492914-3.78610.00018
3-0.111508-0.85650.197591
4-0.249525-1.91660.030066
50.0762010.58530.280285
6-0.186013-1.42880.079168
7-0.056502-0.4340.332935
8-0.330966-2.54220.006831
9-0.316028-2.42750.009138
10-0.556146-4.27183.6e-05
110.2521931.93710.028761
120.3479712.67280.004856
13-0.189828-1.45810.075059
14-0.012655-0.09720.461446
150.1867541.43450.078356
160.0088520.0680.47301
17-0.038518-0.29590.384188
18-0.060693-0.46620.321398
190.055730.42810.335079
20-0.130333-1.00110.160432
210.0858710.65960.256043
220.0766230.58860.279204
23-0.110361-0.84770.200016
24-0.133442-1.0250.154776
250.0028980.02230.491158
260.0832190.63920.262578
27-0.121059-0.92990.178113
28-0.017397-0.13360.447077
29-0.016687-0.12820.449222
300.0184530.14170.443883
31-0.033666-0.25860.398425
320.0143740.11040.45623
330.063630.48880.313414
34-0.050214-0.38570.350553
35-0.12028-0.92390.179654
360.0203520.15630.438155
370.0199960.15360.439227
38-0.089269-0.68570.247797
39-0.085016-0.6530.25814
400.0137820.10590.458026
41-0.015545-0.11940.452681
42-0.13267-1.01910.156168
430.0219820.16880.433248
440.0423630.32540.373017
450.0009010.00690.497252
46-0.011975-0.0920.463512
47-0.000292-0.00220.499109
48-0.094317-0.72450.235822



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):
if (par1 == 'Default') {
par1 = 10*log10(length(x))
} else {
par1 <- as.numeric(par1)
}
par2 <- as.numeric(par2)
par3 <- as.numeric(par3)
par4 <- as.numeric(par4)
par5 <- as.numeric(par5)
if (par6 == 'White Noise') par6 <- 'white' else par6 <- 'ma'
par7 <- as.numeric(par7)
if (par2 == 0) {
x <- log(x)
} else {
x <- (x ^ par2 - 1) / par2
}
if (par3 > 0) x <- diff(x,lag=1,difference=par3)
if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
bitmap(file='pic1.png')
racf <- acf(x, par1, main='Autocorrelation', xlab='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep=''))
dev.off()
bitmap(file='pic2.png')
rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
dev.off()
(myacf <- c(racf$acf))
(mypacf <- c(rpacf$acf))
lengthx <- length(x)
sqrtn <- sqrt(lengthx)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Autocorrelation Function',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Time lag k',header=TRUE)
a<-table.element(a,hyperlink('basics.htm','ACF(k)','click here for more information about the Autocorrelation Function'),header=TRUE)
a<-table.element(a,'T-STAT',header=TRUE)
a<-table.element(a,'P-value',header=TRUE)
a<-table.row.end(a)
for (i in 2:(par1+1)) {
a<-table.row.start(a)
a<-table.element(a,i-1,header=TRUE)
a<-table.element(a,round(myacf[i],6))
mytstat <- myacf[i]*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')