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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, 27 Nov 2007 02:55:56 -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/2007/Nov/27/t1196156892qqpjx9l6c6pyo8k.htm/, Retrieved Sun, 05 May 2024 09:09:44 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=6775, Retrieved Sun, 05 May 2024 09:09:44 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsVerbeterd
Estimated Impact224
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [Opdracht3 Q2 Kolom1 ] [2007-11-27 09:55:56] [00ef4a509c2a49a63e98610ffa741e39] [Current]
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Dataseries X:
3804
3491
4151
4254
4717
4866
4001
3758
4780
5016
4296
4467
3891
3872
3867
3973
4640
4538
3836
3770
4374
4497
3945
3862
3608
3301
3882
3605
4305
4216
3971
3988
4317
4484
4247
3520
3686
3403
3990
4053
4548
4559
3922
4209
4517
4386
3221
3127
3777
3322
3899
4033
4463
4819
4246
4255
4760
4581
4309
4016
3601
3257
3823
3940
4534
4575
3953
4206
4649
4353
3835
3944




Summary of compuational 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 compuational 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=6775&T=0

[TABLE]
[ROW][C]Summary of compuational 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=6775&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=6775&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 compuational 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
017.7460
10.4578713.54670.000382
20.2092541.62090.055144
30.2073891.60640.056715
40.2026061.56940.060909
50.1768911.37020.087866
60.0439890.34070.367247
7-0.127742-0.98950.836801
8-0.109172-0.84560.799445
9-0.106245-0.8230.793107
10-0.083704-0.64840.740391
11-0.186031-1.4410.922607
12-0.392661-3.04150.998256
13-0.197971-1.53350.934792
14-0.003342-0.02590.510284
15-0.009892-0.07660.530412
16-0.158693-1.22920.888108
170.0276030.21380.415708
180.092380.71560.238516
190.1128980.87450.192665
200.0859670.66590.254013
210.0674070.52210.30175
220.0370990.28740.38741
230.0679070.5260.300411
240.1039680.80530.211903
250.0900670.69770.244043
260.0009540.00740.497066
27-0.011794-0.09140.536244
280.0315660.24450.403834
29-0.097919-0.75850.774433
30-0.141417-1.09540.861144
31-0.14116-1.09340.86071
32-0.084189-0.65210.741594
33-0.213394-1.65290.948217
34-0.219878-1.70320.953144
35-0.156963-1.21580.885594
36-0.195694-1.51580.932594
37-0.133266-1.03230.846957
38-0.118347-0.91670.818519
39-0.086636-0.67110.747627
40-0.000988-0.00770.503042
41-0.001089-0.00840.503351
420.0040520.03140.487532
430.0213050.1650.434738
44-0.017896-0.13860.554895
450.1232820.95490.171721
460.1326141.02720.154219
470.0568040.440.33076

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 7.746 & 0 \tabularnewline
1 & 0.457871 & 3.5467 & 0.000382 \tabularnewline
2 & 0.209254 & 1.6209 & 0.055144 \tabularnewline
3 & 0.207389 & 1.6064 & 0.056715 \tabularnewline
4 & 0.202606 & 1.5694 & 0.060909 \tabularnewline
5 & 0.176891 & 1.3702 & 0.087866 \tabularnewline
6 & 0.043989 & 0.3407 & 0.367247 \tabularnewline
7 & -0.127742 & -0.9895 & 0.836801 \tabularnewline
8 & -0.109172 & -0.8456 & 0.799445 \tabularnewline
9 & -0.106245 & -0.823 & 0.793107 \tabularnewline
10 & -0.083704 & -0.6484 & 0.740391 \tabularnewline
11 & -0.186031 & -1.441 & 0.922607 \tabularnewline
12 & -0.392661 & -3.0415 & 0.998256 \tabularnewline
13 & -0.197971 & -1.5335 & 0.934792 \tabularnewline
14 & -0.003342 & -0.0259 & 0.510284 \tabularnewline
15 & -0.009892 & -0.0766 & 0.530412 \tabularnewline
16 & -0.158693 & -1.2292 & 0.888108 \tabularnewline
17 & 0.027603 & 0.2138 & 0.415708 \tabularnewline
18 & 0.09238 & 0.7156 & 0.238516 \tabularnewline
19 & 0.112898 & 0.8745 & 0.192665 \tabularnewline
20 & 0.085967 & 0.6659 & 0.254013 \tabularnewline
21 & 0.067407 & 0.5221 & 0.30175 \tabularnewline
22 & 0.037099 & 0.2874 & 0.38741 \tabularnewline
23 & 0.067907 & 0.526 & 0.300411 \tabularnewline
24 & 0.103968 & 0.8053 & 0.211903 \tabularnewline
25 & 0.090067 & 0.6977 & 0.244043 \tabularnewline
26 & 0.000954 & 0.0074 & 0.497066 \tabularnewline
27 & -0.011794 & -0.0914 & 0.536244 \tabularnewline
28 & 0.031566 & 0.2445 & 0.403834 \tabularnewline
29 & -0.097919 & -0.7585 & 0.774433 \tabularnewline
30 & -0.141417 & -1.0954 & 0.861144 \tabularnewline
31 & -0.14116 & -1.0934 & 0.86071 \tabularnewline
32 & -0.084189 & -0.6521 & 0.741594 \tabularnewline
33 & -0.213394 & -1.6529 & 0.948217 \tabularnewline
34 & -0.219878 & -1.7032 & 0.953144 \tabularnewline
35 & -0.156963 & -1.2158 & 0.885594 \tabularnewline
36 & -0.195694 & -1.5158 & 0.932594 \tabularnewline
37 & -0.133266 & -1.0323 & 0.846957 \tabularnewline
38 & -0.118347 & -0.9167 & 0.818519 \tabularnewline
39 & -0.086636 & -0.6711 & 0.747627 \tabularnewline
40 & -0.000988 & -0.0077 & 0.503042 \tabularnewline
41 & -0.001089 & -0.0084 & 0.503351 \tabularnewline
42 & 0.004052 & 0.0314 & 0.487532 \tabularnewline
43 & 0.021305 & 0.165 & 0.434738 \tabularnewline
44 & -0.017896 & -0.1386 & 0.554895 \tabularnewline
45 & 0.123282 & 0.9549 & 0.171721 \tabularnewline
46 & 0.132614 & 1.0272 & 0.154219 \tabularnewline
47 & 0.056804 & 0.44 & 0.33076 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=6775&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]0[/C][C]1[/C][C]7.746[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]0.457871[/C][C]3.5467[/C][C]0.000382[/C][/ROW]
[ROW][C]2[/C][C]0.209254[/C][C]1.6209[/C][C]0.055144[/C][/ROW]
[ROW][C]3[/C][C]0.207389[/C][C]1.6064[/C][C]0.056715[/C][/ROW]
[ROW][C]4[/C][C]0.202606[/C][C]1.5694[/C][C]0.060909[/C][/ROW]
[ROW][C]5[/C][C]0.176891[/C][C]1.3702[/C][C]0.087866[/C][/ROW]
[ROW][C]6[/C][C]0.043989[/C][C]0.3407[/C][C]0.367247[/C][/ROW]
[ROW][C]7[/C][C]-0.127742[/C][C]-0.9895[/C][C]0.836801[/C][/ROW]
[ROW][C]8[/C][C]-0.109172[/C][C]-0.8456[/C][C]0.799445[/C][/ROW]
[ROW][C]9[/C][C]-0.106245[/C][C]-0.823[/C][C]0.793107[/C][/ROW]
[ROW][C]10[/C][C]-0.083704[/C][C]-0.6484[/C][C]0.740391[/C][/ROW]
[ROW][C]11[/C][C]-0.186031[/C][C]-1.441[/C][C]0.922607[/C][/ROW]
[ROW][C]12[/C][C]-0.392661[/C][C]-3.0415[/C][C]0.998256[/C][/ROW]
[ROW][C]13[/C][C]-0.197971[/C][C]-1.5335[/C][C]0.934792[/C][/ROW]
[ROW][C]14[/C][C]-0.003342[/C][C]-0.0259[/C][C]0.510284[/C][/ROW]
[ROW][C]15[/C][C]-0.009892[/C][C]-0.0766[/C][C]0.530412[/C][/ROW]
[ROW][C]16[/C][C]-0.158693[/C][C]-1.2292[/C][C]0.888108[/C][/ROW]
[ROW][C]17[/C][C]0.027603[/C][C]0.2138[/C][C]0.415708[/C][/ROW]
[ROW][C]18[/C][C]0.09238[/C][C]0.7156[/C][C]0.238516[/C][/ROW]
[ROW][C]19[/C][C]0.112898[/C][C]0.8745[/C][C]0.192665[/C][/ROW]
[ROW][C]20[/C][C]0.085967[/C][C]0.6659[/C][C]0.254013[/C][/ROW]
[ROW][C]21[/C][C]0.067407[/C][C]0.5221[/C][C]0.30175[/C][/ROW]
[ROW][C]22[/C][C]0.037099[/C][C]0.2874[/C][C]0.38741[/C][/ROW]
[ROW][C]23[/C][C]0.067907[/C][C]0.526[/C][C]0.300411[/C][/ROW]
[ROW][C]24[/C][C]0.103968[/C][C]0.8053[/C][C]0.211903[/C][/ROW]
[ROW][C]25[/C][C]0.090067[/C][C]0.6977[/C][C]0.244043[/C][/ROW]
[ROW][C]26[/C][C]0.000954[/C][C]0.0074[/C][C]0.497066[/C][/ROW]
[ROW][C]27[/C][C]-0.011794[/C][C]-0.0914[/C][C]0.536244[/C][/ROW]
[ROW][C]28[/C][C]0.031566[/C][C]0.2445[/C][C]0.403834[/C][/ROW]
[ROW][C]29[/C][C]-0.097919[/C][C]-0.7585[/C][C]0.774433[/C][/ROW]
[ROW][C]30[/C][C]-0.141417[/C][C]-1.0954[/C][C]0.861144[/C][/ROW]
[ROW][C]31[/C][C]-0.14116[/C][C]-1.0934[/C][C]0.86071[/C][/ROW]
[ROW][C]32[/C][C]-0.084189[/C][C]-0.6521[/C][C]0.741594[/C][/ROW]
[ROW][C]33[/C][C]-0.213394[/C][C]-1.6529[/C][C]0.948217[/C][/ROW]
[ROW][C]34[/C][C]-0.219878[/C][C]-1.7032[/C][C]0.953144[/C][/ROW]
[ROW][C]35[/C][C]-0.156963[/C][C]-1.2158[/C][C]0.885594[/C][/ROW]
[ROW][C]36[/C][C]-0.195694[/C][C]-1.5158[/C][C]0.932594[/C][/ROW]
[ROW][C]37[/C][C]-0.133266[/C][C]-1.0323[/C][C]0.846957[/C][/ROW]
[ROW][C]38[/C][C]-0.118347[/C][C]-0.9167[/C][C]0.818519[/C][/ROW]
[ROW][C]39[/C][C]-0.086636[/C][C]-0.6711[/C][C]0.747627[/C][/ROW]
[ROW][C]40[/C][C]-0.000988[/C][C]-0.0077[/C][C]0.503042[/C][/ROW]
[ROW][C]41[/C][C]-0.001089[/C][C]-0.0084[/C][C]0.503351[/C][/ROW]
[ROW][C]42[/C][C]0.004052[/C][C]0.0314[/C][C]0.487532[/C][/ROW]
[ROW][C]43[/C][C]0.021305[/C][C]0.165[/C][C]0.434738[/C][/ROW]
[ROW][C]44[/C][C]-0.017896[/C][C]-0.1386[/C][C]0.554895[/C][/ROW]
[ROW][C]45[/C][C]0.123282[/C][C]0.9549[/C][C]0.171721[/C][/ROW]
[ROW][C]46[/C][C]0.132614[/C][C]1.0272[/C][C]0.154219[/C][/ROW]
[ROW][C]47[/C][C]0.056804[/C][C]0.44[/C][C]0.33076[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=6775&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=6775&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
017.7460
10.4578713.54670.000382
20.2092541.62090.055144
30.2073891.60640.056715
40.2026061.56940.060909
50.1768911.37020.087866
60.0439890.34070.367247
7-0.127742-0.98950.836801
8-0.109172-0.84560.799445
9-0.106245-0.8230.793107
10-0.083704-0.64840.740391
11-0.186031-1.4410.922607
12-0.392661-3.04150.998256
13-0.197971-1.53350.934792
14-0.003342-0.02590.510284
15-0.009892-0.07660.530412
16-0.158693-1.22920.888108
170.0276030.21380.415708
180.092380.71560.238516
190.1128980.87450.192665
200.0859670.66590.254013
210.0674070.52210.30175
220.0370990.28740.38741
230.0679070.5260.300411
240.1039680.80530.211903
250.0900670.69770.244043
260.0009540.00740.497066
27-0.011794-0.09140.536244
280.0315660.24450.403834
29-0.097919-0.75850.774433
30-0.141417-1.09540.861144
31-0.14116-1.09340.86071
32-0.084189-0.65210.741594
33-0.213394-1.65290.948217
34-0.219878-1.70320.953144
35-0.156963-1.21580.885594
36-0.195694-1.51580.932594
37-0.133266-1.03230.846957
38-0.118347-0.91670.818519
39-0.086636-0.67110.747627
40-0.000988-0.00770.503042
41-0.001089-0.00840.503351
420.0040520.03140.487532
430.0213050.1650.434738
44-0.017896-0.13860.554895
450.1232820.95490.171721
460.1326141.02720.154219
470.0568040.440.33076







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
00.4578713.54670.000382
1-0.000495-0.00380.501525
20.1414011.09530.138883
30.0729480.56510.287072
40.0554320.42940.334594
5-0.103617-0.80260.787318
6-0.189337-1.46660.926146
7-0.022698-0.17580.569485
8-0.067637-0.52390.698865
90.0294130.22780.410275
10-0.129749-1.0050.840541
11-0.279998-2.16890.982966
120.1437481.11350.134975
130.12690.9830.164786
140.045640.35350.362466
15-0.1723-1.33460.90648
160.2792362.1630.01727
17-0.036444-0.28230.610654
18-0.050951-0.39470.652754
19-0.029327-0.22720.589467
200.0399790.30970.378939
21-0.04025-0.31180.621854
22-0.086781-0.67220.747983
230.0119810.09280.463184
240.0739190.57260.284537
250.05980.46320.322445
26-0.030089-0.23310.59175
27-0.10137-0.78520.782291
28-0.02771-0.21460.584612
29-0.003114-0.02410.509582
30-0.084708-0.65610.742881
31-0.039482-0.30580.619603
32-0.136903-1.06040.853403
33-0.061183-0.47390.681362
34-0.016635-0.12890.551049
35-0.135049-1.04610.850141
360.1165620.90290.185098
37-0.076837-0.59520.723019
380.0667690.51720.303462
390.0187150.1450.442613
40-0.071883-0.55680.710133
41-0.071928-0.55720.710252
42-0.046125-0.35730.638933
43-0.012133-0.0940.537282
44-0.029257-0.22660.589257
450.0180940.14020.444503
460.002330.0180.492829
470.013850.10730.457461

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & 0.457871 & 3.5467 & 0.000382 \tabularnewline
1 & -0.000495 & -0.0038 & 0.501525 \tabularnewline
2 & 0.141401 & 1.0953 & 0.138883 \tabularnewline
3 & 0.072948 & 0.5651 & 0.287072 \tabularnewline
4 & 0.055432 & 0.4294 & 0.334594 \tabularnewline
5 & -0.103617 & -0.8026 & 0.787318 \tabularnewline
6 & -0.189337 & -1.4666 & 0.926146 \tabularnewline
7 & -0.022698 & -0.1758 & 0.569485 \tabularnewline
8 & -0.067637 & -0.5239 & 0.698865 \tabularnewline
9 & 0.029413 & 0.2278 & 0.410275 \tabularnewline
10 & -0.129749 & -1.005 & 0.840541 \tabularnewline
11 & -0.279998 & -2.1689 & 0.982966 \tabularnewline
12 & 0.143748 & 1.1135 & 0.134975 \tabularnewline
13 & 0.1269 & 0.983 & 0.164786 \tabularnewline
14 & 0.04564 & 0.3535 & 0.362466 \tabularnewline
15 & -0.1723 & -1.3346 & 0.90648 \tabularnewline
16 & 0.279236 & 2.163 & 0.01727 \tabularnewline
17 & -0.036444 & -0.2823 & 0.610654 \tabularnewline
18 & -0.050951 & -0.3947 & 0.652754 \tabularnewline
19 & -0.029327 & -0.2272 & 0.589467 \tabularnewline
20 & 0.039979 & 0.3097 & 0.378939 \tabularnewline
21 & -0.04025 & -0.3118 & 0.621854 \tabularnewline
22 & -0.086781 & -0.6722 & 0.747983 \tabularnewline
23 & 0.011981 & 0.0928 & 0.463184 \tabularnewline
24 & 0.073919 & 0.5726 & 0.284537 \tabularnewline
25 & 0.0598 & 0.4632 & 0.322445 \tabularnewline
26 & -0.030089 & -0.2331 & 0.59175 \tabularnewline
27 & -0.10137 & -0.7852 & 0.782291 \tabularnewline
28 & -0.02771 & -0.2146 & 0.584612 \tabularnewline
29 & -0.003114 & -0.0241 & 0.509582 \tabularnewline
30 & -0.084708 & -0.6561 & 0.742881 \tabularnewline
31 & -0.039482 & -0.3058 & 0.619603 \tabularnewline
32 & -0.136903 & -1.0604 & 0.853403 \tabularnewline
33 & -0.061183 & -0.4739 & 0.681362 \tabularnewline
34 & -0.016635 & -0.1289 & 0.551049 \tabularnewline
35 & -0.135049 & -1.0461 & 0.850141 \tabularnewline
36 & 0.116562 & 0.9029 & 0.185098 \tabularnewline
37 & -0.076837 & -0.5952 & 0.723019 \tabularnewline
38 & 0.066769 & 0.5172 & 0.303462 \tabularnewline
39 & 0.018715 & 0.145 & 0.442613 \tabularnewline
40 & -0.071883 & -0.5568 & 0.710133 \tabularnewline
41 & -0.071928 & -0.5572 & 0.710252 \tabularnewline
42 & -0.046125 & -0.3573 & 0.638933 \tabularnewline
43 & -0.012133 & -0.094 & 0.537282 \tabularnewline
44 & -0.029257 & -0.2266 & 0.589257 \tabularnewline
45 & 0.018094 & 0.1402 & 0.444503 \tabularnewline
46 & 0.00233 & 0.018 & 0.492829 \tabularnewline
47 & 0.01385 & 0.1073 & 0.457461 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=6775&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]0[/C][C]0.457871[/C][C]3.5467[/C][C]0.000382[/C][/ROW]
[ROW][C]1[/C][C]-0.000495[/C][C]-0.0038[/C][C]0.501525[/C][/ROW]
[ROW][C]2[/C][C]0.141401[/C][C]1.0953[/C][C]0.138883[/C][/ROW]
[ROW][C]3[/C][C]0.072948[/C][C]0.5651[/C][C]0.287072[/C][/ROW]
[ROW][C]4[/C][C]0.055432[/C][C]0.4294[/C][C]0.334594[/C][/ROW]
[ROW][C]5[/C][C]-0.103617[/C][C]-0.8026[/C][C]0.787318[/C][/ROW]
[ROW][C]6[/C][C]-0.189337[/C][C]-1.4666[/C][C]0.926146[/C][/ROW]
[ROW][C]7[/C][C]-0.022698[/C][C]-0.1758[/C][C]0.569485[/C][/ROW]
[ROW][C]8[/C][C]-0.067637[/C][C]-0.5239[/C][C]0.698865[/C][/ROW]
[ROW][C]9[/C][C]0.029413[/C][C]0.2278[/C][C]0.410275[/C][/ROW]
[ROW][C]10[/C][C]-0.129749[/C][C]-1.005[/C][C]0.840541[/C][/ROW]
[ROW][C]11[/C][C]-0.279998[/C][C]-2.1689[/C][C]0.982966[/C][/ROW]
[ROW][C]12[/C][C]0.143748[/C][C]1.1135[/C][C]0.134975[/C][/ROW]
[ROW][C]13[/C][C]0.1269[/C][C]0.983[/C][C]0.164786[/C][/ROW]
[ROW][C]14[/C][C]0.04564[/C][C]0.3535[/C][C]0.362466[/C][/ROW]
[ROW][C]15[/C][C]-0.1723[/C][C]-1.3346[/C][C]0.90648[/C][/ROW]
[ROW][C]16[/C][C]0.279236[/C][C]2.163[/C][C]0.01727[/C][/ROW]
[ROW][C]17[/C][C]-0.036444[/C][C]-0.2823[/C][C]0.610654[/C][/ROW]
[ROW][C]18[/C][C]-0.050951[/C][C]-0.3947[/C][C]0.652754[/C][/ROW]
[ROW][C]19[/C][C]-0.029327[/C][C]-0.2272[/C][C]0.589467[/C][/ROW]
[ROW][C]20[/C][C]0.039979[/C][C]0.3097[/C][C]0.378939[/C][/ROW]
[ROW][C]21[/C][C]-0.04025[/C][C]-0.3118[/C][C]0.621854[/C][/ROW]
[ROW][C]22[/C][C]-0.086781[/C][C]-0.6722[/C][C]0.747983[/C][/ROW]
[ROW][C]23[/C][C]0.011981[/C][C]0.0928[/C][C]0.463184[/C][/ROW]
[ROW][C]24[/C][C]0.073919[/C][C]0.5726[/C][C]0.284537[/C][/ROW]
[ROW][C]25[/C][C]0.0598[/C][C]0.4632[/C][C]0.322445[/C][/ROW]
[ROW][C]26[/C][C]-0.030089[/C][C]-0.2331[/C][C]0.59175[/C][/ROW]
[ROW][C]27[/C][C]-0.10137[/C][C]-0.7852[/C][C]0.782291[/C][/ROW]
[ROW][C]28[/C][C]-0.02771[/C][C]-0.2146[/C][C]0.584612[/C][/ROW]
[ROW][C]29[/C][C]-0.003114[/C][C]-0.0241[/C][C]0.509582[/C][/ROW]
[ROW][C]30[/C][C]-0.084708[/C][C]-0.6561[/C][C]0.742881[/C][/ROW]
[ROW][C]31[/C][C]-0.039482[/C][C]-0.3058[/C][C]0.619603[/C][/ROW]
[ROW][C]32[/C][C]-0.136903[/C][C]-1.0604[/C][C]0.853403[/C][/ROW]
[ROW][C]33[/C][C]-0.061183[/C][C]-0.4739[/C][C]0.681362[/C][/ROW]
[ROW][C]34[/C][C]-0.016635[/C][C]-0.1289[/C][C]0.551049[/C][/ROW]
[ROW][C]35[/C][C]-0.135049[/C][C]-1.0461[/C][C]0.850141[/C][/ROW]
[ROW][C]36[/C][C]0.116562[/C][C]0.9029[/C][C]0.185098[/C][/ROW]
[ROW][C]37[/C][C]-0.076837[/C][C]-0.5952[/C][C]0.723019[/C][/ROW]
[ROW][C]38[/C][C]0.066769[/C][C]0.5172[/C][C]0.303462[/C][/ROW]
[ROW][C]39[/C][C]0.018715[/C][C]0.145[/C][C]0.442613[/C][/ROW]
[ROW][C]40[/C][C]-0.071883[/C][C]-0.5568[/C][C]0.710133[/C][/ROW]
[ROW][C]41[/C][C]-0.071928[/C][C]-0.5572[/C][C]0.710252[/C][/ROW]
[ROW][C]42[/C][C]-0.046125[/C][C]-0.3573[/C][C]0.638933[/C][/ROW]
[ROW][C]43[/C][C]-0.012133[/C][C]-0.094[/C][C]0.537282[/C][/ROW]
[ROW][C]44[/C][C]-0.029257[/C][C]-0.2266[/C][C]0.589257[/C][/ROW]
[ROW][C]45[/C][C]0.018094[/C][C]0.1402[/C][C]0.444503[/C][/ROW]
[ROW][C]46[/C][C]0.00233[/C][C]0.018[/C][C]0.492829[/C][/ROW]
[ROW][C]47[/C][C]0.01385[/C][C]0.1073[/C][C]0.457461[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=6775&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=6775&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
00.4578713.54670.000382
1-0.000495-0.00380.501525
20.1414011.09530.138883
30.0729480.56510.287072
40.0554320.42940.334594
5-0.103617-0.80260.787318
6-0.189337-1.46660.926146
7-0.022698-0.17580.569485
8-0.067637-0.52390.698865
90.0294130.22780.410275
10-0.129749-1.0050.840541
11-0.279998-2.16890.982966
120.1437481.11350.134975
130.12690.9830.164786
140.045640.35350.362466
15-0.1723-1.33460.90648
160.2792362.1630.01727
17-0.036444-0.28230.610654
18-0.050951-0.39470.652754
19-0.029327-0.22720.589467
200.0399790.30970.378939
21-0.04025-0.31180.621854
22-0.086781-0.67220.747983
230.0119810.09280.463184
240.0739190.57260.284537
250.05980.46320.322445
26-0.030089-0.23310.59175
27-0.10137-0.78520.782291
28-0.02771-0.21460.584612
29-0.003114-0.02410.509582
30-0.084708-0.65610.742881
31-0.039482-0.30580.619603
32-0.136903-1.06040.853403
33-0.061183-0.47390.681362
34-0.016635-0.12890.551049
35-0.135049-1.04610.850141
360.1165620.90290.185098
37-0.076837-0.59520.723019
380.0667690.51720.303462
390.0187150.1450.442613
40-0.071883-0.55680.710133
41-0.071928-0.55720.710252
42-0.046125-0.35730.638933
43-0.012133-0.0940.537282
44-0.029257-0.22660.589257
450.0180940.14020.444503
460.002330.0180.492829
470.013850.10730.457461



Parameters (Session):
par1 = 48 ; par2 = 1 ; par3 = 0 ; par4 = 1 ; par5 = 12 ;
Parameters (R input):
par1 = 48 ; par2 = 1 ; par3 = 0 ; par4 = 1 ; par5 = 12 ;
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 (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='lags',ylab='ACF')
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 1:par1) {
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(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-1,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(mytstat,lengthx),6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')