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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationTue, 08 Dec 2009 00:20:15 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Dec/08/t12602568831ht68q89r5u6o8u.htm/, Retrieved Sun, 28 Apr 2024 12:15:56 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=64676, Retrieved Sun, 28 Apr 2024 12:15:56 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP2W22
Estimated Impact134
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [Autocorrelatie Br...] [2009-12-08 07:20:15] [5429fe6e3351c98316e03e842ad8f5e4] [Current]
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Dataseries X:
1,38
1,38
1,38
1,38
1,38
1,38
1,38
1,38
1,38
1,38
1,38
1,38
1,38
1,38
1,38
1,38
1,38
1,38
1,38
1,38
1,38
1,38
1,38
1,43
1,43
1,43
1,43
1,43
1,43
1,43
1,43
1,43
1,43
1,43
1,43
1,43
1,43
1,43
1,43
1,43
1,43
1,43
1,44
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,57
1,58
1,58
1,58
1,58
1,59
1,6
1,6
1,61
1,61
1,61
1,62
1,63
1,63
1,64
1,64
1,64
1,64
1,64
1,65
1,65
1,65
1,65
1,65
1,66
1,66
1,67
1,68
1,68
1,68
1,68
1,69
1,7
1,7
1,71
1,72
1,73
1,74
1,74
1,75
1,75
1,75
1,76
1,79
1,83
1,84
1,85
1,87
1,87
1,87
1,88
1,88
1,88
1,88
1,89
1,89
1,89
1,9
1,89




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\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 & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=64676&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=64676&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=64676&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'Gwilym Jenkins' @ 72.249.127.135







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.97624111.21620
20.95027110.91780
30.92468910.62390
40.89838910.32170
50.87158210.01370
60.8449839.70810
70.8176969.39460
80.7897529.07360
90.7609718.74290
100.7327878.41910
110.7040058.08840
120.6745067.74950
130.6462327.42460
140.6184057.10490
150.5911766.79210
160.5676526.52180
170.5468176.28250
180.526676.0510
190.5061035.81470
200.4848495.57050
210.4635655.3260
220.4420715.0791e-06
230.4214154.84172e-06
240.4041374.64324e-06
250.3873984.45099e-06
260.3713454.26641.9e-05
270.3548154.07653.9e-05
280.3388813.89357.8e-05
290.3237253.71930.000147
300.3083893.54310.000274
310.2916783.35110.000525
320.274013.14810.001016
330.2567912.95030.001879
340.2402582.76040.003298
350.2233372.56590.005703
360.2067742.37570.009478
370.1895242.17750.015612
380.1718251.97410.025228
390.1536781.76560.039886
400.1350221.55130.061613
410.1172631.34730.090104
420.0992651.14050.128078
430.0811780.93270.176349
440.0642280.73790.230936
450.0460530.52910.298811
460.0284750.32710.372037
470.0105380.12110.451909
48-0.006921-0.07950.468373

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.976241 & 11.2162 & 0 \tabularnewline
2 & 0.950271 & 10.9178 & 0 \tabularnewline
3 & 0.924689 & 10.6239 & 0 \tabularnewline
4 & 0.898389 & 10.3217 & 0 \tabularnewline
5 & 0.871582 & 10.0137 & 0 \tabularnewline
6 & 0.844983 & 9.7081 & 0 \tabularnewline
7 & 0.817696 & 9.3946 & 0 \tabularnewline
8 & 0.789752 & 9.0736 & 0 \tabularnewline
9 & 0.760971 & 8.7429 & 0 \tabularnewline
10 & 0.732787 & 8.4191 & 0 \tabularnewline
11 & 0.704005 & 8.0884 & 0 \tabularnewline
12 & 0.674506 & 7.7495 & 0 \tabularnewline
13 & 0.646232 & 7.4246 & 0 \tabularnewline
14 & 0.618405 & 7.1049 & 0 \tabularnewline
15 & 0.591176 & 6.7921 & 0 \tabularnewline
16 & 0.567652 & 6.5218 & 0 \tabularnewline
17 & 0.546817 & 6.2825 & 0 \tabularnewline
18 & 0.52667 & 6.051 & 0 \tabularnewline
19 & 0.506103 & 5.8147 & 0 \tabularnewline
20 & 0.484849 & 5.5705 & 0 \tabularnewline
21 & 0.463565 & 5.326 & 0 \tabularnewline
22 & 0.442071 & 5.079 & 1e-06 \tabularnewline
23 & 0.421415 & 4.8417 & 2e-06 \tabularnewline
24 & 0.404137 & 4.6432 & 4e-06 \tabularnewline
25 & 0.387398 & 4.4509 & 9e-06 \tabularnewline
26 & 0.371345 & 4.2664 & 1.9e-05 \tabularnewline
27 & 0.354815 & 4.0765 & 3.9e-05 \tabularnewline
28 & 0.338881 & 3.8935 & 7.8e-05 \tabularnewline
29 & 0.323725 & 3.7193 & 0.000147 \tabularnewline
30 & 0.308389 & 3.5431 & 0.000274 \tabularnewline
31 & 0.291678 & 3.3511 & 0.000525 \tabularnewline
32 & 0.27401 & 3.1481 & 0.001016 \tabularnewline
33 & 0.256791 & 2.9503 & 0.001879 \tabularnewline
34 & 0.240258 & 2.7604 & 0.003298 \tabularnewline
35 & 0.223337 & 2.5659 & 0.005703 \tabularnewline
36 & 0.206774 & 2.3757 & 0.009478 \tabularnewline
37 & 0.189524 & 2.1775 & 0.015612 \tabularnewline
38 & 0.171825 & 1.9741 & 0.025228 \tabularnewline
39 & 0.153678 & 1.7656 & 0.039886 \tabularnewline
40 & 0.135022 & 1.5513 & 0.061613 \tabularnewline
41 & 0.117263 & 1.3473 & 0.090104 \tabularnewline
42 & 0.099265 & 1.1405 & 0.128078 \tabularnewline
43 & 0.081178 & 0.9327 & 0.176349 \tabularnewline
44 & 0.064228 & 0.7379 & 0.230936 \tabularnewline
45 & 0.046053 & 0.5291 & 0.298811 \tabularnewline
46 & 0.028475 & 0.3271 & 0.372037 \tabularnewline
47 & 0.010538 & 0.1211 & 0.451909 \tabularnewline
48 & -0.006921 & -0.0795 & 0.468373 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=64676&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]0.976241[/C][C]11.2162[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.950271[/C][C]10.9178[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.924689[/C][C]10.6239[/C][C]0[/C][/ROW]
[ROW][C]4[/C][C]0.898389[/C][C]10.3217[/C][C]0[/C][/ROW]
[ROW][C]5[/C][C]0.871582[/C][C]10.0137[/C][C]0[/C][/ROW]
[ROW][C]6[/C][C]0.844983[/C][C]9.7081[/C][C]0[/C][/ROW]
[ROW][C]7[/C][C]0.817696[/C][C]9.3946[/C][C]0[/C][/ROW]
[ROW][C]8[/C][C]0.789752[/C][C]9.0736[/C][C]0[/C][/ROW]
[ROW][C]9[/C][C]0.760971[/C][C]8.7429[/C][C]0[/C][/ROW]
[ROW][C]10[/C][C]0.732787[/C][C]8.4191[/C][C]0[/C][/ROW]
[ROW][C]11[/C][C]0.704005[/C][C]8.0884[/C][C]0[/C][/ROW]
[ROW][C]12[/C][C]0.674506[/C][C]7.7495[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]0.646232[/C][C]7.4246[/C][C]0[/C][/ROW]
[ROW][C]14[/C][C]0.618405[/C][C]7.1049[/C][C]0[/C][/ROW]
[ROW][C]15[/C][C]0.591176[/C][C]6.7921[/C][C]0[/C][/ROW]
[ROW][C]16[/C][C]0.567652[/C][C]6.5218[/C][C]0[/C][/ROW]
[ROW][C]17[/C][C]0.546817[/C][C]6.2825[/C][C]0[/C][/ROW]
[ROW][C]18[/C][C]0.52667[/C][C]6.051[/C][C]0[/C][/ROW]
[ROW][C]19[/C][C]0.506103[/C][C]5.8147[/C][C]0[/C][/ROW]
[ROW][C]20[/C][C]0.484849[/C][C]5.5705[/C][C]0[/C][/ROW]
[ROW][C]21[/C][C]0.463565[/C][C]5.326[/C][C]0[/C][/ROW]
[ROW][C]22[/C][C]0.442071[/C][C]5.079[/C][C]1e-06[/C][/ROW]
[ROW][C]23[/C][C]0.421415[/C][C]4.8417[/C][C]2e-06[/C][/ROW]
[ROW][C]24[/C][C]0.404137[/C][C]4.6432[/C][C]4e-06[/C][/ROW]
[ROW][C]25[/C][C]0.387398[/C][C]4.4509[/C][C]9e-06[/C][/ROW]
[ROW][C]26[/C][C]0.371345[/C][C]4.2664[/C][C]1.9e-05[/C][/ROW]
[ROW][C]27[/C][C]0.354815[/C][C]4.0765[/C][C]3.9e-05[/C][/ROW]
[ROW][C]28[/C][C]0.338881[/C][C]3.8935[/C][C]7.8e-05[/C][/ROW]
[ROW][C]29[/C][C]0.323725[/C][C]3.7193[/C][C]0.000147[/C][/ROW]
[ROW][C]30[/C][C]0.308389[/C][C]3.5431[/C][C]0.000274[/C][/ROW]
[ROW][C]31[/C][C]0.291678[/C][C]3.3511[/C][C]0.000525[/C][/ROW]
[ROW][C]32[/C][C]0.27401[/C][C]3.1481[/C][C]0.001016[/C][/ROW]
[ROW][C]33[/C][C]0.256791[/C][C]2.9503[/C][C]0.001879[/C][/ROW]
[ROW][C]34[/C][C]0.240258[/C][C]2.7604[/C][C]0.003298[/C][/ROW]
[ROW][C]35[/C][C]0.223337[/C][C]2.5659[/C][C]0.005703[/C][/ROW]
[ROW][C]36[/C][C]0.206774[/C][C]2.3757[/C][C]0.009478[/C][/ROW]
[ROW][C]37[/C][C]0.189524[/C][C]2.1775[/C][C]0.015612[/C][/ROW]
[ROW][C]38[/C][C]0.171825[/C][C]1.9741[/C][C]0.025228[/C][/ROW]
[ROW][C]39[/C][C]0.153678[/C][C]1.7656[/C][C]0.039886[/C][/ROW]
[ROW][C]40[/C][C]0.135022[/C][C]1.5513[/C][C]0.061613[/C][/ROW]
[ROW][C]41[/C][C]0.117263[/C][C]1.3473[/C][C]0.090104[/C][/ROW]
[ROW][C]42[/C][C]0.099265[/C][C]1.1405[/C][C]0.128078[/C][/ROW]
[ROW][C]43[/C][C]0.081178[/C][C]0.9327[/C][C]0.176349[/C][/ROW]
[ROW][C]44[/C][C]0.064228[/C][C]0.7379[/C][C]0.230936[/C][/ROW]
[ROW][C]45[/C][C]0.046053[/C][C]0.5291[/C][C]0.298811[/C][/ROW]
[ROW][C]46[/C][C]0.028475[/C][C]0.3271[/C][C]0.372037[/C][/ROW]
[ROW][C]47[/C][C]0.010538[/C][C]0.1211[/C][C]0.451909[/C][/ROW]
[ROW][C]48[/C][C]-0.006921[/C][C]-0.0795[/C][C]0.468373[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=64676&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=64676&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
10.97624111.21620
20.95027110.91780
30.92468910.62390
40.89838910.32170
50.87158210.01370
60.8449839.70810
70.8176969.39460
80.7897529.07360
90.7609718.74290
100.7327878.41910
110.7040058.08840
120.6745067.74950
130.6462327.42460
140.6184057.10490
150.5911766.79210
160.5676526.52180
170.5468176.28250
180.526676.0510
190.5061035.81470
200.4848495.57050
210.4635655.3260
220.4420715.0791e-06
230.4214154.84172e-06
240.4041374.64324e-06
250.3873984.45099e-06
260.3713454.26641.9e-05
270.3548154.07653.9e-05
280.3388813.89357.8e-05
290.3237253.71930.000147
300.3083893.54310.000274
310.2916783.35110.000525
320.274013.14810.001016
330.2567912.95030.001879
340.2402582.76040.003298
350.2233372.56590.005703
360.2067742.37570.009478
370.1895242.17750.015612
380.1718251.97410.025228
390.1536781.76560.039886
400.1350221.55130.061613
410.1172631.34730.090104
420.0992651.14050.128078
430.0811780.93270.176349
440.0642280.73790.230936
450.0460530.52910.298811
460.0284750.32710.372037
470.0105380.12110.451909
48-0.006921-0.07950.468373







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.97624111.21620
2-0.059126-0.67930.249065
3-0.002876-0.0330.486845
4-0.029486-0.33880.367663
5-0.023191-0.26640.395154
6-0.009238-0.10610.457818
7-0.02954-0.33940.367427
8-0.027353-0.31430.37691
9-0.03273-0.3760.353747
10-0.00194-0.02230.491126
11-0.030033-0.3450.365304
12-0.030267-0.34770.364296
130.0096640.1110.455879
14-0.010016-0.11510.45428
15-0.003096-0.03560.48584
160.0609780.70060.242396
170.0355710.40870.341719
18-0.00193-0.02220.49117
19-0.024541-0.28190.389212
20-0.031277-0.35930.359957
21-0.016686-0.19170.424131
22-0.021112-0.24260.40436
23-0.000344-0.0040.498426
240.0515250.5920.277439
25-0.007059-0.08110.46774
260.0016360.01880.492518
27-0.028874-0.33170.370306
280.0015650.0180.492842
290.0049630.0570.477308
30-0.016401-0.18840.425413
31-0.037674-0.43280.332919
32-0.028789-0.33080.370676
330.000960.0110.49561
34-0.003636-0.04180.48337
35-0.027774-0.31910.375078
36-0.006676-0.07670.469491
37-0.030799-0.35390.362006
38-0.018012-0.20690.418188
39-0.013778-0.15830.437234
40-0.018447-0.21190.416242
410.0094050.10810.45706
42-0.023893-0.27450.392062
43-0.018799-0.2160.414668
440.0079220.0910.46381
45-0.044396-0.51010.305425
46-0.002649-0.03040.487884
47-0.029996-0.34460.365461
48-0.005034-0.05780.476981

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.976241 & 11.2162 & 0 \tabularnewline
2 & -0.059126 & -0.6793 & 0.249065 \tabularnewline
3 & -0.002876 & -0.033 & 0.486845 \tabularnewline
4 & -0.029486 & -0.3388 & 0.367663 \tabularnewline
5 & -0.023191 & -0.2664 & 0.395154 \tabularnewline
6 & -0.009238 & -0.1061 & 0.457818 \tabularnewline
7 & -0.02954 & -0.3394 & 0.367427 \tabularnewline
8 & -0.027353 & -0.3143 & 0.37691 \tabularnewline
9 & -0.03273 & -0.376 & 0.353747 \tabularnewline
10 & -0.00194 & -0.0223 & 0.491126 \tabularnewline
11 & -0.030033 & -0.345 & 0.365304 \tabularnewline
12 & -0.030267 & -0.3477 & 0.364296 \tabularnewline
13 & 0.009664 & 0.111 & 0.455879 \tabularnewline
14 & -0.010016 & -0.1151 & 0.45428 \tabularnewline
15 & -0.003096 & -0.0356 & 0.48584 \tabularnewline
16 & 0.060978 & 0.7006 & 0.242396 \tabularnewline
17 & 0.035571 & 0.4087 & 0.341719 \tabularnewline
18 & -0.00193 & -0.0222 & 0.49117 \tabularnewline
19 & -0.024541 & -0.2819 & 0.389212 \tabularnewline
20 & -0.031277 & -0.3593 & 0.359957 \tabularnewline
21 & -0.016686 & -0.1917 & 0.424131 \tabularnewline
22 & -0.021112 & -0.2426 & 0.40436 \tabularnewline
23 & -0.000344 & -0.004 & 0.498426 \tabularnewline
24 & 0.051525 & 0.592 & 0.277439 \tabularnewline
25 & -0.007059 & -0.0811 & 0.46774 \tabularnewline
26 & 0.001636 & 0.0188 & 0.492518 \tabularnewline
27 & -0.028874 & -0.3317 & 0.370306 \tabularnewline
28 & 0.001565 & 0.018 & 0.492842 \tabularnewline
29 & 0.004963 & 0.057 & 0.477308 \tabularnewline
30 & -0.016401 & -0.1884 & 0.425413 \tabularnewline
31 & -0.037674 & -0.4328 & 0.332919 \tabularnewline
32 & -0.028789 & -0.3308 & 0.370676 \tabularnewline
33 & 0.00096 & 0.011 & 0.49561 \tabularnewline
34 & -0.003636 & -0.0418 & 0.48337 \tabularnewline
35 & -0.027774 & -0.3191 & 0.375078 \tabularnewline
36 & -0.006676 & -0.0767 & 0.469491 \tabularnewline
37 & -0.030799 & -0.3539 & 0.362006 \tabularnewline
38 & -0.018012 & -0.2069 & 0.418188 \tabularnewline
39 & -0.013778 & -0.1583 & 0.437234 \tabularnewline
40 & -0.018447 & -0.2119 & 0.416242 \tabularnewline
41 & 0.009405 & 0.1081 & 0.45706 \tabularnewline
42 & -0.023893 & -0.2745 & 0.392062 \tabularnewline
43 & -0.018799 & -0.216 & 0.414668 \tabularnewline
44 & 0.007922 & 0.091 & 0.46381 \tabularnewline
45 & -0.044396 & -0.5101 & 0.305425 \tabularnewline
46 & -0.002649 & -0.0304 & 0.487884 \tabularnewline
47 & -0.029996 & -0.3446 & 0.365461 \tabularnewline
48 & -0.005034 & -0.0578 & 0.476981 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=64676&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]0.976241[/C][C]11.2162[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]-0.059126[/C][C]-0.6793[/C][C]0.249065[/C][/ROW]
[ROW][C]3[/C][C]-0.002876[/C][C]-0.033[/C][C]0.486845[/C][/ROW]
[ROW][C]4[/C][C]-0.029486[/C][C]-0.3388[/C][C]0.367663[/C][/ROW]
[ROW][C]5[/C][C]-0.023191[/C][C]-0.2664[/C][C]0.395154[/C][/ROW]
[ROW][C]6[/C][C]-0.009238[/C][C]-0.1061[/C][C]0.457818[/C][/ROW]
[ROW][C]7[/C][C]-0.02954[/C][C]-0.3394[/C][C]0.367427[/C][/ROW]
[ROW][C]8[/C][C]-0.027353[/C][C]-0.3143[/C][C]0.37691[/C][/ROW]
[ROW][C]9[/C][C]-0.03273[/C][C]-0.376[/C][C]0.353747[/C][/ROW]
[ROW][C]10[/C][C]-0.00194[/C][C]-0.0223[/C][C]0.491126[/C][/ROW]
[ROW][C]11[/C][C]-0.030033[/C][C]-0.345[/C][C]0.365304[/C][/ROW]
[ROW][C]12[/C][C]-0.030267[/C][C]-0.3477[/C][C]0.364296[/C][/ROW]
[ROW][C]13[/C][C]0.009664[/C][C]0.111[/C][C]0.455879[/C][/ROW]
[ROW][C]14[/C][C]-0.010016[/C][C]-0.1151[/C][C]0.45428[/C][/ROW]
[ROW][C]15[/C][C]-0.003096[/C][C]-0.0356[/C][C]0.48584[/C][/ROW]
[ROW][C]16[/C][C]0.060978[/C][C]0.7006[/C][C]0.242396[/C][/ROW]
[ROW][C]17[/C][C]0.035571[/C][C]0.4087[/C][C]0.341719[/C][/ROW]
[ROW][C]18[/C][C]-0.00193[/C][C]-0.0222[/C][C]0.49117[/C][/ROW]
[ROW][C]19[/C][C]-0.024541[/C][C]-0.2819[/C][C]0.389212[/C][/ROW]
[ROW][C]20[/C][C]-0.031277[/C][C]-0.3593[/C][C]0.359957[/C][/ROW]
[ROW][C]21[/C][C]-0.016686[/C][C]-0.1917[/C][C]0.424131[/C][/ROW]
[ROW][C]22[/C][C]-0.021112[/C][C]-0.2426[/C][C]0.40436[/C][/ROW]
[ROW][C]23[/C][C]-0.000344[/C][C]-0.004[/C][C]0.498426[/C][/ROW]
[ROW][C]24[/C][C]0.051525[/C][C]0.592[/C][C]0.277439[/C][/ROW]
[ROW][C]25[/C][C]-0.007059[/C][C]-0.0811[/C][C]0.46774[/C][/ROW]
[ROW][C]26[/C][C]0.001636[/C][C]0.0188[/C][C]0.492518[/C][/ROW]
[ROW][C]27[/C][C]-0.028874[/C][C]-0.3317[/C][C]0.370306[/C][/ROW]
[ROW][C]28[/C][C]0.001565[/C][C]0.018[/C][C]0.492842[/C][/ROW]
[ROW][C]29[/C][C]0.004963[/C][C]0.057[/C][C]0.477308[/C][/ROW]
[ROW][C]30[/C][C]-0.016401[/C][C]-0.1884[/C][C]0.425413[/C][/ROW]
[ROW][C]31[/C][C]-0.037674[/C][C]-0.4328[/C][C]0.332919[/C][/ROW]
[ROW][C]32[/C][C]-0.028789[/C][C]-0.3308[/C][C]0.370676[/C][/ROW]
[ROW][C]33[/C][C]0.00096[/C][C]0.011[/C][C]0.49561[/C][/ROW]
[ROW][C]34[/C][C]-0.003636[/C][C]-0.0418[/C][C]0.48337[/C][/ROW]
[ROW][C]35[/C][C]-0.027774[/C][C]-0.3191[/C][C]0.375078[/C][/ROW]
[ROW][C]36[/C][C]-0.006676[/C][C]-0.0767[/C][C]0.469491[/C][/ROW]
[ROW][C]37[/C][C]-0.030799[/C][C]-0.3539[/C][C]0.362006[/C][/ROW]
[ROW][C]38[/C][C]-0.018012[/C][C]-0.2069[/C][C]0.418188[/C][/ROW]
[ROW][C]39[/C][C]-0.013778[/C][C]-0.1583[/C][C]0.437234[/C][/ROW]
[ROW][C]40[/C][C]-0.018447[/C][C]-0.2119[/C][C]0.416242[/C][/ROW]
[ROW][C]41[/C][C]0.009405[/C][C]0.1081[/C][C]0.45706[/C][/ROW]
[ROW][C]42[/C][C]-0.023893[/C][C]-0.2745[/C][C]0.392062[/C][/ROW]
[ROW][C]43[/C][C]-0.018799[/C][C]-0.216[/C][C]0.414668[/C][/ROW]
[ROW][C]44[/C][C]0.007922[/C][C]0.091[/C][C]0.46381[/C][/ROW]
[ROW][C]45[/C][C]-0.044396[/C][C]-0.5101[/C][C]0.305425[/C][/ROW]
[ROW][C]46[/C][C]-0.002649[/C][C]-0.0304[/C][C]0.487884[/C][/ROW]
[ROW][C]47[/C][C]-0.029996[/C][C]-0.3446[/C][C]0.365461[/C][/ROW]
[ROW][C]48[/C][C]-0.005034[/C][C]-0.0578[/C][C]0.476981[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=64676&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=64676&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
10.97624111.21620
2-0.059126-0.67930.249065
3-0.002876-0.0330.486845
4-0.029486-0.33880.367663
5-0.023191-0.26640.395154
6-0.009238-0.10610.457818
7-0.02954-0.33940.367427
8-0.027353-0.31430.37691
9-0.03273-0.3760.353747
10-0.00194-0.02230.491126
11-0.030033-0.3450.365304
12-0.030267-0.34770.364296
130.0096640.1110.455879
14-0.010016-0.11510.45428
15-0.003096-0.03560.48584
160.0609780.70060.242396
170.0355710.40870.341719
18-0.00193-0.02220.49117
19-0.024541-0.28190.389212
20-0.031277-0.35930.359957
21-0.016686-0.19170.424131
22-0.021112-0.24260.40436
23-0.000344-0.0040.498426
240.0515250.5920.277439
25-0.007059-0.08110.46774
260.0016360.01880.492518
27-0.028874-0.33170.370306
280.0015650.0180.492842
290.0049630.0570.477308
30-0.016401-0.18840.425413
31-0.037674-0.43280.332919
32-0.028789-0.33080.370676
330.000960.0110.49561
34-0.003636-0.04180.48337
35-0.027774-0.31910.375078
36-0.006676-0.07670.469491
37-0.030799-0.35390.362006
38-0.018012-0.20690.418188
39-0.013778-0.15830.437234
40-0.018447-0.21190.416242
410.0094050.10810.45706
42-0.023893-0.27450.392062
43-0.018799-0.2160.414668
440.0079220.0910.46381
45-0.044396-0.51010.305425
46-0.002649-0.03040.487884
47-0.029996-0.34460.365461
48-0.005034-0.05780.476981



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