Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationThu, 13 Dec 2007 08:14:38 -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/Dec/13/t119755802148dd8h73a63imc8.htm/, Retrieved Sun, 05 May 2024 11:13:38 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=3600, Retrieved Sun, 05 May 2024 11:13:38 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsbridome
Estimated Impact188
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [ACF PACF werkloos...] [2007-12-13 15:14:38] [d41d8cd98f00b204e9800998ecf8427e] [Current]
Feedback Forum

Post a new message
Dataseries X:
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
476
475
470
461
455
456
517
525
523
519
509
512
519
517
510
509
501
507
569
580
578
565
547
555
562
561
555
544
537
543
594
611
613
611
594
595
591
589
584
573
567
569
621
629
628
612
595
597
593
590
580
574
573
573
620
626
620
588
566
557
561
549
532
526
511
499
555




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=3600&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=3600&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=3600&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
019.64370
10.0513430.49510.310838
2-0.029015-0.27980.60988
3-0.052013-0.50160.69143
40.0615640.59370.277075
50.1588141.53160.064514
60.090710.87480.191974
70.0634140.61150.271167
80.1320821.27380.102962
90.2358982.27490.012604
10-0.062273-0.60050.725196
11-0.095916-0.9250.821316
12-0.152198-1.46770.927227
130.1476571.4240.078904
140.3132613.0210.001627
150.0224420.21640.414565
160.0391260.37730.353398
17-0.058133-0.56060.711795
180.1037531.00060.159819
190.0277220.26730.394898
200.0991390.95610.170759
210.0932770.89950.185347
220.0847080.81690.208037
230.1943051.87380.032048
24-0.090054-0.86850.806308
25-0.160163-1.54460.937075
26-0.151632-1.46230.926483
270.1832861.76750.040208
28-0.011369-0.10960.543535
290.1495321.4420.076326
30-0.092717-0.89410.813219
31-0.109027-1.05140.852105
320.0548350.52880.299099
33-0.122509-1.18140.879778
34-0.034333-0.33110.62934
35-0.00837-0.08070.532078
360.0454740.43850.331009
370.1020370.9840.163833
380.0279690.26970.393987
39-0.156111-1.50550.932205
40-0.086699-0.83610.797377
410.0411510.39680.346195
42-0.025302-0.2440.596119
430.0789180.76110.224275
44-0.108173-1.04320.850215
45-0.069403-0.66930.747518
46-0.06168-0.59480.723295
47-0.123635-1.19230.88191

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 9.6437 & 0 \tabularnewline
1 & 0.051343 & 0.4951 & 0.310838 \tabularnewline
2 & -0.029015 & -0.2798 & 0.60988 \tabularnewline
3 & -0.052013 & -0.5016 & 0.69143 \tabularnewline
4 & 0.061564 & 0.5937 & 0.277075 \tabularnewline
5 & 0.158814 & 1.5316 & 0.064514 \tabularnewline
6 & 0.09071 & 0.8748 & 0.191974 \tabularnewline
7 & 0.063414 & 0.6115 & 0.271167 \tabularnewline
8 & 0.132082 & 1.2738 & 0.102962 \tabularnewline
9 & 0.235898 & 2.2749 & 0.012604 \tabularnewline
10 & -0.062273 & -0.6005 & 0.725196 \tabularnewline
11 & -0.095916 & -0.925 & 0.821316 \tabularnewline
12 & -0.152198 & -1.4677 & 0.927227 \tabularnewline
13 & 0.147657 & 1.424 & 0.078904 \tabularnewline
14 & 0.313261 & 3.021 & 0.001627 \tabularnewline
15 & 0.022442 & 0.2164 & 0.414565 \tabularnewline
16 & 0.039126 & 0.3773 & 0.353398 \tabularnewline
17 & -0.058133 & -0.5606 & 0.711795 \tabularnewline
18 & 0.103753 & 1.0006 & 0.159819 \tabularnewline
19 & 0.027722 & 0.2673 & 0.394898 \tabularnewline
20 & 0.099139 & 0.9561 & 0.170759 \tabularnewline
21 & 0.093277 & 0.8995 & 0.185347 \tabularnewline
22 & 0.084708 & 0.8169 & 0.208037 \tabularnewline
23 & 0.194305 & 1.8738 & 0.032048 \tabularnewline
24 & -0.090054 & -0.8685 & 0.806308 \tabularnewline
25 & -0.160163 & -1.5446 & 0.937075 \tabularnewline
26 & -0.151632 & -1.4623 & 0.926483 \tabularnewline
27 & 0.183286 & 1.7675 & 0.040208 \tabularnewline
28 & -0.011369 & -0.1096 & 0.543535 \tabularnewline
29 & 0.149532 & 1.442 & 0.076326 \tabularnewline
30 & -0.092717 & -0.8941 & 0.813219 \tabularnewline
31 & -0.109027 & -1.0514 & 0.852105 \tabularnewline
32 & 0.054835 & 0.5288 & 0.299099 \tabularnewline
33 & -0.122509 & -1.1814 & 0.879778 \tabularnewline
34 & -0.034333 & -0.3311 & 0.62934 \tabularnewline
35 & -0.00837 & -0.0807 & 0.532078 \tabularnewline
36 & 0.045474 & 0.4385 & 0.331009 \tabularnewline
37 & 0.102037 & 0.984 & 0.163833 \tabularnewline
38 & 0.027969 & 0.2697 & 0.393987 \tabularnewline
39 & -0.156111 & -1.5055 & 0.932205 \tabularnewline
40 & -0.086699 & -0.8361 & 0.797377 \tabularnewline
41 & 0.041151 & 0.3968 & 0.346195 \tabularnewline
42 & -0.025302 & -0.244 & 0.596119 \tabularnewline
43 & 0.078918 & 0.7611 & 0.224275 \tabularnewline
44 & -0.108173 & -1.0432 & 0.850215 \tabularnewline
45 & -0.069403 & -0.6693 & 0.747518 \tabularnewline
46 & -0.06168 & -0.5948 & 0.723295 \tabularnewline
47 & -0.123635 & -1.1923 & 0.88191 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=3600&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]9.6437[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]0.051343[/C][C]0.4951[/C][C]0.310838[/C][/ROW]
[ROW][C]2[/C][C]-0.029015[/C][C]-0.2798[/C][C]0.60988[/C][/ROW]
[ROW][C]3[/C][C]-0.052013[/C][C]-0.5016[/C][C]0.69143[/C][/ROW]
[ROW][C]4[/C][C]0.061564[/C][C]0.5937[/C][C]0.277075[/C][/ROW]
[ROW][C]5[/C][C]0.158814[/C][C]1.5316[/C][C]0.064514[/C][/ROW]
[ROW][C]6[/C][C]0.09071[/C][C]0.8748[/C][C]0.191974[/C][/ROW]
[ROW][C]7[/C][C]0.063414[/C][C]0.6115[/C][C]0.271167[/C][/ROW]
[ROW][C]8[/C][C]0.132082[/C][C]1.2738[/C][C]0.102962[/C][/ROW]
[ROW][C]9[/C][C]0.235898[/C][C]2.2749[/C][C]0.012604[/C][/ROW]
[ROW][C]10[/C][C]-0.062273[/C][C]-0.6005[/C][C]0.725196[/C][/ROW]
[ROW][C]11[/C][C]-0.095916[/C][C]-0.925[/C][C]0.821316[/C][/ROW]
[ROW][C]12[/C][C]-0.152198[/C][C]-1.4677[/C][C]0.927227[/C][/ROW]
[ROW][C]13[/C][C]0.147657[/C][C]1.424[/C][C]0.078904[/C][/ROW]
[ROW][C]14[/C][C]0.313261[/C][C]3.021[/C][C]0.001627[/C][/ROW]
[ROW][C]15[/C][C]0.022442[/C][C]0.2164[/C][C]0.414565[/C][/ROW]
[ROW][C]16[/C][C]0.039126[/C][C]0.3773[/C][C]0.353398[/C][/ROW]
[ROW][C]17[/C][C]-0.058133[/C][C]-0.5606[/C][C]0.711795[/C][/ROW]
[ROW][C]18[/C][C]0.103753[/C][C]1.0006[/C][C]0.159819[/C][/ROW]
[ROW][C]19[/C][C]0.027722[/C][C]0.2673[/C][C]0.394898[/C][/ROW]
[ROW][C]20[/C][C]0.099139[/C][C]0.9561[/C][C]0.170759[/C][/ROW]
[ROW][C]21[/C][C]0.093277[/C][C]0.8995[/C][C]0.185347[/C][/ROW]
[ROW][C]22[/C][C]0.084708[/C][C]0.8169[/C][C]0.208037[/C][/ROW]
[ROW][C]23[/C][C]0.194305[/C][C]1.8738[/C][C]0.032048[/C][/ROW]
[ROW][C]24[/C][C]-0.090054[/C][C]-0.8685[/C][C]0.806308[/C][/ROW]
[ROW][C]25[/C][C]-0.160163[/C][C]-1.5446[/C][C]0.937075[/C][/ROW]
[ROW][C]26[/C][C]-0.151632[/C][C]-1.4623[/C][C]0.926483[/C][/ROW]
[ROW][C]27[/C][C]0.183286[/C][C]1.7675[/C][C]0.040208[/C][/ROW]
[ROW][C]28[/C][C]-0.011369[/C][C]-0.1096[/C][C]0.543535[/C][/ROW]
[ROW][C]29[/C][C]0.149532[/C][C]1.442[/C][C]0.076326[/C][/ROW]
[ROW][C]30[/C][C]-0.092717[/C][C]-0.8941[/C][C]0.813219[/C][/ROW]
[ROW][C]31[/C][C]-0.109027[/C][C]-1.0514[/C][C]0.852105[/C][/ROW]
[ROW][C]32[/C][C]0.054835[/C][C]0.5288[/C][C]0.299099[/C][/ROW]
[ROW][C]33[/C][C]-0.122509[/C][C]-1.1814[/C][C]0.879778[/C][/ROW]
[ROW][C]34[/C][C]-0.034333[/C][C]-0.3311[/C][C]0.62934[/C][/ROW]
[ROW][C]35[/C][C]-0.00837[/C][C]-0.0807[/C][C]0.532078[/C][/ROW]
[ROW][C]36[/C][C]0.045474[/C][C]0.4385[/C][C]0.331009[/C][/ROW]
[ROW][C]37[/C][C]0.102037[/C][C]0.984[/C][C]0.163833[/C][/ROW]
[ROW][C]38[/C][C]0.027969[/C][C]0.2697[/C][C]0.393987[/C][/ROW]
[ROW][C]39[/C][C]-0.156111[/C][C]-1.5055[/C][C]0.932205[/C][/ROW]
[ROW][C]40[/C][C]-0.086699[/C][C]-0.8361[/C][C]0.797377[/C][/ROW]
[ROW][C]41[/C][C]0.041151[/C][C]0.3968[/C][C]0.346195[/C][/ROW]
[ROW][C]42[/C][C]-0.025302[/C][C]-0.244[/C][C]0.596119[/C][/ROW]
[ROW][C]43[/C][C]0.078918[/C][C]0.7611[/C][C]0.224275[/C][/ROW]
[ROW][C]44[/C][C]-0.108173[/C][C]-1.0432[/C][C]0.850215[/C][/ROW]
[ROW][C]45[/C][C]-0.069403[/C][C]-0.6693[/C][C]0.747518[/C][/ROW]
[ROW][C]46[/C][C]-0.06168[/C][C]-0.5948[/C][C]0.723295[/C][/ROW]
[ROW][C]47[/C][C]-0.123635[/C][C]-1.1923[/C][C]0.88191[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=3600&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=3600&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
019.64370
10.0513430.49510.310838
2-0.029015-0.27980.60988
3-0.052013-0.50160.69143
40.0615640.59370.277075
50.1588141.53160.064514
60.090710.87480.191974
70.0634140.61150.271167
80.1320821.27380.102962
90.2358982.27490.012604
10-0.062273-0.60050.725196
11-0.095916-0.9250.821316
12-0.152198-1.46770.927227
130.1476571.4240.078904
140.3132613.0210.001627
150.0224420.21640.414565
160.0391260.37730.353398
17-0.058133-0.56060.711795
180.1037531.00060.159819
190.0277220.26730.394898
200.0991390.95610.170759
210.0932770.89950.185347
220.0847080.81690.208037
230.1943051.87380.032048
24-0.090054-0.86850.806308
25-0.160163-1.54460.937075
26-0.151632-1.46230.926483
270.1832861.76750.040208
28-0.011369-0.10960.543535
290.1495321.4420.076326
30-0.092717-0.89410.813219
31-0.109027-1.05140.852105
320.0548350.52880.299099
33-0.122509-1.18140.879778
34-0.034333-0.33110.62934
35-0.00837-0.08070.532078
360.0454740.43850.331009
370.1020370.9840.163833
380.0279690.26970.393987
39-0.156111-1.50550.932205
40-0.086699-0.83610.797377
410.0411510.39680.346195
42-0.025302-0.2440.596119
430.0789180.76110.224275
44-0.108173-1.04320.850215
45-0.069403-0.66930.747518
46-0.06168-0.59480.723295
47-0.123635-1.19230.88191







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
00.0513430.49510.310838
1-0.031735-0.3060.619872
2-0.049025-0.47280.68126
30.0663110.63950.262043
40.1506761.45310.074786
50.078830.76020.224526
60.0731390.70530.241186
70.1502251.44870.075389
80.2393012.30770.011616
9-0.088239-0.85090.801507
10-0.10339-0.99710.839338
11-0.195122-1.88170.968497
120.0581680.5610.288089
130.232252.23970.013745
14-0.010697-0.10320.540972
150.0876340.84510.20011
16-0.03421-0.32990.628895
170.0806660.77790.219298
180.0193490.18660.426192
190.1248961.20450.115736
200.1082391.04380.149638
21-0.077089-0.74340.77045
220.0699250.67430.250885
23-0.12354-1.19140.881732
24-0.178703-1.72340.955926
25-0.164806-1.58930.942311
260.0422060.4070.342465
27-0.163931-1.58090.941352
280.1322231.27510.102723
29-0.051237-0.49410.688803
30-0.035579-0.34310.633855
310.0926690.89370.186903
32-0.029531-0.28480.611779
33-0.032191-0.31040.621541
34-0.01951-0.18820.574416
35-0.12627-1.21770.886791
36-0.008757-0.08450.533561
370.0463660.44710.327909
38-0.002637-0.02540.510118
39-0.034039-0.32830.628272
40-0.006502-0.06270.524933
41-0.003782-0.03650.514506
42-0.013108-0.12640.550161
430.0236810.22840.409929
44-0.047835-0.46130.677172
45-0.063399-0.61140.728786
46-0.090197-0.86980.806683
47-0.036143-0.34860.635893

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & 0.051343 & 0.4951 & 0.310838 \tabularnewline
1 & -0.031735 & -0.306 & 0.619872 \tabularnewline
2 & -0.049025 & -0.4728 & 0.68126 \tabularnewline
3 & 0.066311 & 0.6395 & 0.262043 \tabularnewline
4 & 0.150676 & 1.4531 & 0.074786 \tabularnewline
5 & 0.07883 & 0.7602 & 0.224526 \tabularnewline
6 & 0.073139 & 0.7053 & 0.241186 \tabularnewline
7 & 0.150225 & 1.4487 & 0.075389 \tabularnewline
8 & 0.239301 & 2.3077 & 0.011616 \tabularnewline
9 & -0.088239 & -0.8509 & 0.801507 \tabularnewline
10 & -0.10339 & -0.9971 & 0.839338 \tabularnewline
11 & -0.195122 & -1.8817 & 0.968497 \tabularnewline
12 & 0.058168 & 0.561 & 0.288089 \tabularnewline
13 & 0.23225 & 2.2397 & 0.013745 \tabularnewline
14 & -0.010697 & -0.1032 & 0.540972 \tabularnewline
15 & 0.087634 & 0.8451 & 0.20011 \tabularnewline
16 & -0.03421 & -0.3299 & 0.628895 \tabularnewline
17 & 0.080666 & 0.7779 & 0.219298 \tabularnewline
18 & 0.019349 & 0.1866 & 0.426192 \tabularnewline
19 & 0.124896 & 1.2045 & 0.115736 \tabularnewline
20 & 0.108239 & 1.0438 & 0.149638 \tabularnewline
21 & -0.077089 & -0.7434 & 0.77045 \tabularnewline
22 & 0.069925 & 0.6743 & 0.250885 \tabularnewline
23 & -0.12354 & -1.1914 & 0.881732 \tabularnewline
24 & -0.178703 & -1.7234 & 0.955926 \tabularnewline
25 & -0.164806 & -1.5893 & 0.942311 \tabularnewline
26 & 0.042206 & 0.407 & 0.342465 \tabularnewline
27 & -0.163931 & -1.5809 & 0.941352 \tabularnewline
28 & 0.132223 & 1.2751 & 0.102723 \tabularnewline
29 & -0.051237 & -0.4941 & 0.688803 \tabularnewline
30 & -0.035579 & -0.3431 & 0.633855 \tabularnewline
31 & 0.092669 & 0.8937 & 0.186903 \tabularnewline
32 & -0.029531 & -0.2848 & 0.611779 \tabularnewline
33 & -0.032191 & -0.3104 & 0.621541 \tabularnewline
34 & -0.01951 & -0.1882 & 0.574416 \tabularnewline
35 & -0.12627 & -1.2177 & 0.886791 \tabularnewline
36 & -0.008757 & -0.0845 & 0.533561 \tabularnewline
37 & 0.046366 & 0.4471 & 0.327909 \tabularnewline
38 & -0.002637 & -0.0254 & 0.510118 \tabularnewline
39 & -0.034039 & -0.3283 & 0.628272 \tabularnewline
40 & -0.006502 & -0.0627 & 0.524933 \tabularnewline
41 & -0.003782 & -0.0365 & 0.514506 \tabularnewline
42 & -0.013108 & -0.1264 & 0.550161 \tabularnewline
43 & 0.023681 & 0.2284 & 0.409929 \tabularnewline
44 & -0.047835 & -0.4613 & 0.677172 \tabularnewline
45 & -0.063399 & -0.6114 & 0.728786 \tabularnewline
46 & -0.090197 & -0.8698 & 0.806683 \tabularnewline
47 & -0.036143 & -0.3486 & 0.635893 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=3600&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]0.051343[/C][C]0.4951[/C][C]0.310838[/C][/ROW]
[ROW][C]1[/C][C]-0.031735[/C][C]-0.306[/C][C]0.619872[/C][/ROW]
[ROW][C]2[/C][C]-0.049025[/C][C]-0.4728[/C][C]0.68126[/C][/ROW]
[ROW][C]3[/C][C]0.066311[/C][C]0.6395[/C][C]0.262043[/C][/ROW]
[ROW][C]4[/C][C]0.150676[/C][C]1.4531[/C][C]0.074786[/C][/ROW]
[ROW][C]5[/C][C]0.07883[/C][C]0.7602[/C][C]0.224526[/C][/ROW]
[ROW][C]6[/C][C]0.073139[/C][C]0.7053[/C][C]0.241186[/C][/ROW]
[ROW][C]7[/C][C]0.150225[/C][C]1.4487[/C][C]0.075389[/C][/ROW]
[ROW][C]8[/C][C]0.239301[/C][C]2.3077[/C][C]0.011616[/C][/ROW]
[ROW][C]9[/C][C]-0.088239[/C][C]-0.8509[/C][C]0.801507[/C][/ROW]
[ROW][C]10[/C][C]-0.10339[/C][C]-0.9971[/C][C]0.839338[/C][/ROW]
[ROW][C]11[/C][C]-0.195122[/C][C]-1.8817[/C][C]0.968497[/C][/ROW]
[ROW][C]12[/C][C]0.058168[/C][C]0.561[/C][C]0.288089[/C][/ROW]
[ROW][C]13[/C][C]0.23225[/C][C]2.2397[/C][C]0.013745[/C][/ROW]
[ROW][C]14[/C][C]-0.010697[/C][C]-0.1032[/C][C]0.540972[/C][/ROW]
[ROW][C]15[/C][C]0.087634[/C][C]0.8451[/C][C]0.20011[/C][/ROW]
[ROW][C]16[/C][C]-0.03421[/C][C]-0.3299[/C][C]0.628895[/C][/ROW]
[ROW][C]17[/C][C]0.080666[/C][C]0.7779[/C][C]0.219298[/C][/ROW]
[ROW][C]18[/C][C]0.019349[/C][C]0.1866[/C][C]0.426192[/C][/ROW]
[ROW][C]19[/C][C]0.124896[/C][C]1.2045[/C][C]0.115736[/C][/ROW]
[ROW][C]20[/C][C]0.108239[/C][C]1.0438[/C][C]0.149638[/C][/ROW]
[ROW][C]21[/C][C]-0.077089[/C][C]-0.7434[/C][C]0.77045[/C][/ROW]
[ROW][C]22[/C][C]0.069925[/C][C]0.6743[/C][C]0.250885[/C][/ROW]
[ROW][C]23[/C][C]-0.12354[/C][C]-1.1914[/C][C]0.881732[/C][/ROW]
[ROW][C]24[/C][C]-0.178703[/C][C]-1.7234[/C][C]0.955926[/C][/ROW]
[ROW][C]25[/C][C]-0.164806[/C][C]-1.5893[/C][C]0.942311[/C][/ROW]
[ROW][C]26[/C][C]0.042206[/C][C]0.407[/C][C]0.342465[/C][/ROW]
[ROW][C]27[/C][C]-0.163931[/C][C]-1.5809[/C][C]0.941352[/C][/ROW]
[ROW][C]28[/C][C]0.132223[/C][C]1.2751[/C][C]0.102723[/C][/ROW]
[ROW][C]29[/C][C]-0.051237[/C][C]-0.4941[/C][C]0.688803[/C][/ROW]
[ROW][C]30[/C][C]-0.035579[/C][C]-0.3431[/C][C]0.633855[/C][/ROW]
[ROW][C]31[/C][C]0.092669[/C][C]0.8937[/C][C]0.186903[/C][/ROW]
[ROW][C]32[/C][C]-0.029531[/C][C]-0.2848[/C][C]0.611779[/C][/ROW]
[ROW][C]33[/C][C]-0.032191[/C][C]-0.3104[/C][C]0.621541[/C][/ROW]
[ROW][C]34[/C][C]-0.01951[/C][C]-0.1882[/C][C]0.574416[/C][/ROW]
[ROW][C]35[/C][C]-0.12627[/C][C]-1.2177[/C][C]0.886791[/C][/ROW]
[ROW][C]36[/C][C]-0.008757[/C][C]-0.0845[/C][C]0.533561[/C][/ROW]
[ROW][C]37[/C][C]0.046366[/C][C]0.4471[/C][C]0.327909[/C][/ROW]
[ROW][C]38[/C][C]-0.002637[/C][C]-0.0254[/C][C]0.510118[/C][/ROW]
[ROW][C]39[/C][C]-0.034039[/C][C]-0.3283[/C][C]0.628272[/C][/ROW]
[ROW][C]40[/C][C]-0.006502[/C][C]-0.0627[/C][C]0.524933[/C][/ROW]
[ROW][C]41[/C][C]-0.003782[/C][C]-0.0365[/C][C]0.514506[/C][/ROW]
[ROW][C]42[/C][C]-0.013108[/C][C]-0.1264[/C][C]0.550161[/C][/ROW]
[ROW][C]43[/C][C]0.023681[/C][C]0.2284[/C][C]0.409929[/C][/ROW]
[ROW][C]44[/C][C]-0.047835[/C][C]-0.4613[/C][C]0.677172[/C][/ROW]
[ROW][C]45[/C][C]-0.063399[/C][C]-0.6114[/C][C]0.728786[/C][/ROW]
[ROW][C]46[/C][C]-0.090197[/C][C]-0.8698[/C][C]0.806683[/C][/ROW]
[ROW][C]47[/C][C]-0.036143[/C][C]-0.3486[/C][C]0.635893[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=3600&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=3600&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
00.0513430.49510.310838
1-0.031735-0.3060.619872
2-0.049025-0.47280.68126
30.0663110.63950.262043
40.1506761.45310.074786
50.078830.76020.224526
60.0731390.70530.241186
70.1502251.44870.075389
80.2393012.30770.011616
9-0.088239-0.85090.801507
10-0.10339-0.99710.839338
11-0.195122-1.88170.968497
120.0581680.5610.288089
130.232252.23970.013745
14-0.010697-0.10320.540972
150.0876340.84510.20011
16-0.03421-0.32990.628895
170.0806660.77790.219298
180.0193490.18660.426192
190.1248961.20450.115736
200.1082391.04380.149638
21-0.077089-0.74340.77045
220.0699250.67430.250885
23-0.12354-1.19140.881732
24-0.178703-1.72340.955926
25-0.164806-1.58930.942311
260.0422060.4070.342465
27-0.163931-1.58090.941352
280.1322231.27510.102723
29-0.051237-0.49410.688803
30-0.035579-0.34310.633855
310.0926690.89370.186903
32-0.029531-0.28480.611779
33-0.032191-0.31040.621541
34-0.01951-0.18820.574416
35-0.12627-1.21770.886791
36-0.008757-0.08450.533561
370.0463660.44710.327909
38-0.002637-0.02540.510118
39-0.034039-0.32830.628272
40-0.006502-0.06270.524933
41-0.003782-0.03650.514506
42-0.013108-0.12640.550161
430.0236810.22840.409929
44-0.047835-0.46130.677172
45-0.063399-0.61140.728786
46-0.090197-0.86980.806683
47-0.036143-0.34860.635893



Parameters (Session):
par1 = 48 ; par2 = 1 ; par3 = 1 ; par4 = 1 ; par5 = 12 ;
Parameters (R input):
par1 = 48 ; par2 = 1 ; par3 = 1 ; 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')