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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, 18 Dec 2008 05:33:26 -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/2008/Dec/18/t1229603649v5mm92ehr893gpw.htm/, Retrieved Sun, 12 May 2024 06:02:48 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=34713, Retrieved Sun, 12 May 2024 06:02:48 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact140
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [Paper - (P)ACF] [2008-12-18 12:33:26] [c33ddd06d9ea3933c8ac89c0e74c9b3a] [Current]
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Dataseries X:
357
363
364
363
358
357
357
380
378
376
380
379
384
392
394
392
396
392
396
419
421
420
418
410
418
426
428
430
424
423
427
441
449
452
462
455
461
461
463
462
456
455
456
472
472
471
465
459
465
468
467
463
460
462
461
476
476
471
453
443
442
444
438
427
424
416
406
431
434
418
412
404
409
412
406
398
397
385
390
413
413
401
397
397




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'George Udny Yule' @ 72.249.76.132

\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 & 2 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=34713&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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=34713&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=34713&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 time2 seconds
R Server'George Udny Yule' @ 72.249.76.132







Autocorrelation Function
Time lag kACF(k)T-STATP-value
1-0.007413-0.06250.475185
20.0801440.67530.250837
30.1261371.06280.145726
40.0043990.03710.485268
50.0914550.77060.221746
60.0420370.35420.362115
7-0.03437-0.28960.386479
80.1639811.38170.085693
9-0.025478-0.21470.415316
10-0.195745-1.64940.051744
110.1233351.03920.151109
12-0.247977-2.08950.020124
13-0.071944-0.60620.273154
140.124321.04750.149202
150.0313880.26450.396089
160.0417240.35160.363099
17-0.066024-0.55630.289868
180.0535620.45130.326566
190.0770740.64940.259077
20-0.003528-0.02970.488183
21-0.048004-0.40450.343536
22-0.001975-0.01660.493386
230.0647730.54580.293461
24-0.165297-1.39280.08401
25-0.103372-0.8710.193338
26-0.173424-1.46130.074173
270.0164540.13860.445061
28-0.120764-1.01760.156167
290.0297470.25060.401405
30-0.112873-0.95110.172393
31-0.091287-0.76920.222163
32-0.099358-0.83720.202643
33-0.059026-0.49740.310235
340.0013360.01130.495524
350.0449810.3790.352902
36-0.016821-0.14170.443845
37-0.029738-0.25060.401432
380.1064690.89710.186342
39-0.146294-1.23270.110878
400.0294620.24830.402327
410.0017710.01490.494068
42-0.112996-0.95210.172132
430.0765080.64470.26061
44-0.026431-0.22270.412201
45-0.093653-0.78910.216331
460.0316910.2670.395108
47-0.091495-0.7710.221646
48-0.010046-0.08460.46639
490.0627010.52830.299459
50-0.103806-0.87470.192347
510.074110.62450.267162
520.024360.20530.418977
53-0.085392-0.71950.23709
540.1168950.9850.163991
55-0.058128-0.48980.312894
560.0066280.05580.47781
570.0486740.41010.341472
580.0362580.30550.380435
590.0061820.05210.4793
600.0128070.10790.457183

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & -0.007413 & -0.0625 & 0.475185 \tabularnewline
2 & 0.080144 & 0.6753 & 0.250837 \tabularnewline
3 & 0.126137 & 1.0628 & 0.145726 \tabularnewline
4 & 0.004399 & 0.0371 & 0.485268 \tabularnewline
5 & 0.091455 & 0.7706 & 0.221746 \tabularnewline
6 & 0.042037 & 0.3542 & 0.362115 \tabularnewline
7 & -0.03437 & -0.2896 & 0.386479 \tabularnewline
8 & 0.163981 & 1.3817 & 0.085693 \tabularnewline
9 & -0.025478 & -0.2147 & 0.415316 \tabularnewline
10 & -0.195745 & -1.6494 & 0.051744 \tabularnewline
11 & 0.123335 & 1.0392 & 0.151109 \tabularnewline
12 & -0.247977 & -2.0895 & 0.020124 \tabularnewline
13 & -0.071944 & -0.6062 & 0.273154 \tabularnewline
14 & 0.12432 & 1.0475 & 0.149202 \tabularnewline
15 & 0.031388 & 0.2645 & 0.396089 \tabularnewline
16 & 0.041724 & 0.3516 & 0.363099 \tabularnewline
17 & -0.066024 & -0.5563 & 0.289868 \tabularnewline
18 & 0.053562 & 0.4513 & 0.326566 \tabularnewline
19 & 0.077074 & 0.6494 & 0.259077 \tabularnewline
20 & -0.003528 & -0.0297 & 0.488183 \tabularnewline
21 & -0.048004 & -0.4045 & 0.343536 \tabularnewline
22 & -0.001975 & -0.0166 & 0.493386 \tabularnewline
23 & 0.064773 & 0.5458 & 0.293461 \tabularnewline
24 & -0.165297 & -1.3928 & 0.08401 \tabularnewline
25 & -0.103372 & -0.871 & 0.193338 \tabularnewline
26 & -0.173424 & -1.4613 & 0.074173 \tabularnewline
27 & 0.016454 & 0.1386 & 0.445061 \tabularnewline
28 & -0.120764 & -1.0176 & 0.156167 \tabularnewline
29 & 0.029747 & 0.2506 & 0.401405 \tabularnewline
30 & -0.112873 & -0.9511 & 0.172393 \tabularnewline
31 & -0.091287 & -0.7692 & 0.222163 \tabularnewline
32 & -0.099358 & -0.8372 & 0.202643 \tabularnewline
33 & -0.059026 & -0.4974 & 0.310235 \tabularnewline
34 & 0.001336 & 0.0113 & 0.495524 \tabularnewline
35 & 0.044981 & 0.379 & 0.352902 \tabularnewline
36 & -0.016821 & -0.1417 & 0.443845 \tabularnewline
37 & -0.029738 & -0.2506 & 0.401432 \tabularnewline
38 & 0.106469 & 0.8971 & 0.186342 \tabularnewline
39 & -0.146294 & -1.2327 & 0.110878 \tabularnewline
40 & 0.029462 & 0.2483 & 0.402327 \tabularnewline
41 & 0.001771 & 0.0149 & 0.494068 \tabularnewline
42 & -0.112996 & -0.9521 & 0.172132 \tabularnewline
43 & 0.076508 & 0.6447 & 0.26061 \tabularnewline
44 & -0.026431 & -0.2227 & 0.412201 \tabularnewline
45 & -0.093653 & -0.7891 & 0.216331 \tabularnewline
46 & 0.031691 & 0.267 & 0.395108 \tabularnewline
47 & -0.091495 & -0.771 & 0.221646 \tabularnewline
48 & -0.010046 & -0.0846 & 0.46639 \tabularnewline
49 & 0.062701 & 0.5283 & 0.299459 \tabularnewline
50 & -0.103806 & -0.8747 & 0.192347 \tabularnewline
51 & 0.07411 & 0.6245 & 0.267162 \tabularnewline
52 & 0.02436 & 0.2053 & 0.418977 \tabularnewline
53 & -0.085392 & -0.7195 & 0.23709 \tabularnewline
54 & 0.116895 & 0.985 & 0.163991 \tabularnewline
55 & -0.058128 & -0.4898 & 0.312894 \tabularnewline
56 & 0.006628 & 0.0558 & 0.47781 \tabularnewline
57 & 0.048674 & 0.4101 & 0.341472 \tabularnewline
58 & 0.036258 & 0.3055 & 0.380435 \tabularnewline
59 & 0.006182 & 0.0521 & 0.4793 \tabularnewline
60 & 0.012807 & 0.1079 & 0.457183 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=34713&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]-0.007413[/C][C]-0.0625[/C][C]0.475185[/C][/ROW]
[ROW][C]2[/C][C]0.080144[/C][C]0.6753[/C][C]0.250837[/C][/ROW]
[ROW][C]3[/C][C]0.126137[/C][C]1.0628[/C][C]0.145726[/C][/ROW]
[ROW][C]4[/C][C]0.004399[/C][C]0.0371[/C][C]0.485268[/C][/ROW]
[ROW][C]5[/C][C]0.091455[/C][C]0.7706[/C][C]0.221746[/C][/ROW]
[ROW][C]6[/C][C]0.042037[/C][C]0.3542[/C][C]0.362115[/C][/ROW]
[ROW][C]7[/C][C]-0.03437[/C][C]-0.2896[/C][C]0.386479[/C][/ROW]
[ROW][C]8[/C][C]0.163981[/C][C]1.3817[/C][C]0.085693[/C][/ROW]
[ROW][C]9[/C][C]-0.025478[/C][C]-0.2147[/C][C]0.415316[/C][/ROW]
[ROW][C]10[/C][C]-0.195745[/C][C]-1.6494[/C][C]0.051744[/C][/ROW]
[ROW][C]11[/C][C]0.123335[/C][C]1.0392[/C][C]0.151109[/C][/ROW]
[ROW][C]12[/C][C]-0.247977[/C][C]-2.0895[/C][C]0.020124[/C][/ROW]
[ROW][C]13[/C][C]-0.071944[/C][C]-0.6062[/C][C]0.273154[/C][/ROW]
[ROW][C]14[/C][C]0.12432[/C][C]1.0475[/C][C]0.149202[/C][/ROW]
[ROW][C]15[/C][C]0.031388[/C][C]0.2645[/C][C]0.396089[/C][/ROW]
[ROW][C]16[/C][C]0.041724[/C][C]0.3516[/C][C]0.363099[/C][/ROW]
[ROW][C]17[/C][C]-0.066024[/C][C]-0.5563[/C][C]0.289868[/C][/ROW]
[ROW][C]18[/C][C]0.053562[/C][C]0.4513[/C][C]0.326566[/C][/ROW]
[ROW][C]19[/C][C]0.077074[/C][C]0.6494[/C][C]0.259077[/C][/ROW]
[ROW][C]20[/C][C]-0.003528[/C][C]-0.0297[/C][C]0.488183[/C][/ROW]
[ROW][C]21[/C][C]-0.048004[/C][C]-0.4045[/C][C]0.343536[/C][/ROW]
[ROW][C]22[/C][C]-0.001975[/C][C]-0.0166[/C][C]0.493386[/C][/ROW]
[ROW][C]23[/C][C]0.064773[/C][C]0.5458[/C][C]0.293461[/C][/ROW]
[ROW][C]24[/C][C]-0.165297[/C][C]-1.3928[/C][C]0.08401[/C][/ROW]
[ROW][C]25[/C][C]-0.103372[/C][C]-0.871[/C][C]0.193338[/C][/ROW]
[ROW][C]26[/C][C]-0.173424[/C][C]-1.4613[/C][C]0.074173[/C][/ROW]
[ROW][C]27[/C][C]0.016454[/C][C]0.1386[/C][C]0.445061[/C][/ROW]
[ROW][C]28[/C][C]-0.120764[/C][C]-1.0176[/C][C]0.156167[/C][/ROW]
[ROW][C]29[/C][C]0.029747[/C][C]0.2506[/C][C]0.401405[/C][/ROW]
[ROW][C]30[/C][C]-0.112873[/C][C]-0.9511[/C][C]0.172393[/C][/ROW]
[ROW][C]31[/C][C]-0.091287[/C][C]-0.7692[/C][C]0.222163[/C][/ROW]
[ROW][C]32[/C][C]-0.099358[/C][C]-0.8372[/C][C]0.202643[/C][/ROW]
[ROW][C]33[/C][C]-0.059026[/C][C]-0.4974[/C][C]0.310235[/C][/ROW]
[ROW][C]34[/C][C]0.001336[/C][C]0.0113[/C][C]0.495524[/C][/ROW]
[ROW][C]35[/C][C]0.044981[/C][C]0.379[/C][C]0.352902[/C][/ROW]
[ROW][C]36[/C][C]-0.016821[/C][C]-0.1417[/C][C]0.443845[/C][/ROW]
[ROW][C]37[/C][C]-0.029738[/C][C]-0.2506[/C][C]0.401432[/C][/ROW]
[ROW][C]38[/C][C]0.106469[/C][C]0.8971[/C][C]0.186342[/C][/ROW]
[ROW][C]39[/C][C]-0.146294[/C][C]-1.2327[/C][C]0.110878[/C][/ROW]
[ROW][C]40[/C][C]0.029462[/C][C]0.2483[/C][C]0.402327[/C][/ROW]
[ROW][C]41[/C][C]0.001771[/C][C]0.0149[/C][C]0.494068[/C][/ROW]
[ROW][C]42[/C][C]-0.112996[/C][C]-0.9521[/C][C]0.172132[/C][/ROW]
[ROW][C]43[/C][C]0.076508[/C][C]0.6447[/C][C]0.26061[/C][/ROW]
[ROW][C]44[/C][C]-0.026431[/C][C]-0.2227[/C][C]0.412201[/C][/ROW]
[ROW][C]45[/C][C]-0.093653[/C][C]-0.7891[/C][C]0.216331[/C][/ROW]
[ROW][C]46[/C][C]0.031691[/C][C]0.267[/C][C]0.395108[/C][/ROW]
[ROW][C]47[/C][C]-0.091495[/C][C]-0.771[/C][C]0.221646[/C][/ROW]
[ROW][C]48[/C][C]-0.010046[/C][C]-0.0846[/C][C]0.46639[/C][/ROW]
[ROW][C]49[/C][C]0.062701[/C][C]0.5283[/C][C]0.299459[/C][/ROW]
[ROW][C]50[/C][C]-0.103806[/C][C]-0.8747[/C][C]0.192347[/C][/ROW]
[ROW][C]51[/C][C]0.07411[/C][C]0.6245[/C][C]0.267162[/C][/ROW]
[ROW][C]52[/C][C]0.02436[/C][C]0.2053[/C][C]0.418977[/C][/ROW]
[ROW][C]53[/C][C]-0.085392[/C][C]-0.7195[/C][C]0.23709[/C][/ROW]
[ROW][C]54[/C][C]0.116895[/C][C]0.985[/C][C]0.163991[/C][/ROW]
[ROW][C]55[/C][C]-0.058128[/C][C]-0.4898[/C][C]0.312894[/C][/ROW]
[ROW][C]56[/C][C]0.006628[/C][C]0.0558[/C][C]0.47781[/C][/ROW]
[ROW][C]57[/C][C]0.048674[/C][C]0.4101[/C][C]0.341472[/C][/ROW]
[ROW][C]58[/C][C]0.036258[/C][C]0.3055[/C][C]0.380435[/C][/ROW]
[ROW][C]59[/C][C]0.006182[/C][C]0.0521[/C][C]0.4793[/C][/ROW]
[ROW][C]60[/C][C]0.012807[/C][C]0.1079[/C][C]0.457183[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=34713&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=34713&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
1-0.007413-0.06250.475185
20.0801440.67530.250837
30.1261371.06280.145726
40.0043990.03710.485268
50.0914550.77060.221746
60.0420370.35420.362115
7-0.03437-0.28960.386479
80.1639811.38170.085693
9-0.025478-0.21470.415316
10-0.195745-1.64940.051744
110.1233351.03920.151109
12-0.247977-2.08950.020124
13-0.071944-0.60620.273154
140.124321.04750.149202
150.0313880.26450.396089
160.0417240.35160.363099
17-0.066024-0.55630.289868
180.0535620.45130.326566
190.0770740.64940.259077
20-0.003528-0.02970.488183
21-0.048004-0.40450.343536
22-0.001975-0.01660.493386
230.0647730.54580.293461
24-0.165297-1.39280.08401
25-0.103372-0.8710.193338
26-0.173424-1.46130.074173
270.0164540.13860.445061
28-0.120764-1.01760.156167
290.0297470.25060.401405
30-0.112873-0.95110.172393
31-0.091287-0.76920.222163
32-0.099358-0.83720.202643
33-0.059026-0.49740.310235
340.0013360.01130.495524
350.0449810.3790.352902
36-0.016821-0.14170.443845
37-0.029738-0.25060.401432
380.1064690.89710.186342
39-0.146294-1.23270.110878
400.0294620.24830.402327
410.0017710.01490.494068
42-0.112996-0.95210.172132
430.0765080.64470.26061
44-0.026431-0.22270.412201
45-0.093653-0.78910.216331
460.0316910.2670.395108
47-0.091495-0.7710.221646
48-0.010046-0.08460.46639
490.0627010.52830.299459
50-0.103806-0.87470.192347
510.074110.62450.267162
520.024360.20530.418977
53-0.085392-0.71950.23709
540.1168950.9850.163991
55-0.058128-0.48980.312894
560.0066280.05580.47781
570.0486740.41010.341472
580.0362580.30550.380435
590.0061820.05210.4793
600.0128070.10790.457183







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
1-0.007413-0.06250.475185
20.0800940.67490.250971
30.1281061.07940.142022
40.0010370.00870.496525
50.0727240.61280.270988
60.0290520.24480.403661
7-0.047667-0.40160.344575
80.1414351.19170.118664
9-0.025264-0.21290.416015
10-0.227136-1.91390.029833
110.0924530.7790.219278
12-0.226435-1.9080.030219
13-0.074542-0.62810.265975
140.1675391.41170.081202
150.1396461.17670.121628
160.0142870.12040.452259
17-0.078774-0.66380.254497
180.1431141.20590.11593
190.0029480.02480.490126
20-0.004221-0.03560.485864
21-0.012276-0.10340.458951
22-0.201031-1.69390.047332
230.0663150.55880.289034
24-0.199213-1.67860.048813
25-0.140195-1.18130.120712
26-0.154162-1.2990.099074
270.1267921.06840.144487
28-0.007745-0.06530.474073
290.0513550.43270.333262
300.0052570.04430.482396
31-0.06193-0.52180.301707
32-0.068618-0.57820.282484
330.010350.08720.465374
34-0.11482-0.96750.168291
350.1120030.94380.174248
36-0.08763-0.73840.231358
37-0.130413-1.09890.137767
380.0296530.24990.401708
39-0.038413-0.32370.37357
400.1034150.87140.193239
410.0138350.11660.453763
42-0.136078-1.14660.127695
430.0277580.23390.40787
440.0193770.16330.435383
45-0.035765-0.30140.382009
46-0.091108-0.76770.222608
470.0222450.18740.425924
480.0064120.0540.478533
49-0.078115-0.65820.256267
50-0.049457-0.41670.339066
510.0474410.39970.345274
52-0.064649-0.54470.293819
530.04820.40610.34293
54-0.032245-0.27170.39332
55-0.070216-0.59160.277982
56-0.035462-0.29880.38298
57-0.018995-0.16010.436645
58-0.013178-0.1110.45595
59-0.016958-0.14290.443391
600.0642770.54160.294891

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & -0.007413 & -0.0625 & 0.475185 \tabularnewline
2 & 0.080094 & 0.6749 & 0.250971 \tabularnewline
3 & 0.128106 & 1.0794 & 0.142022 \tabularnewline
4 & 0.001037 & 0.0087 & 0.496525 \tabularnewline
5 & 0.072724 & 0.6128 & 0.270988 \tabularnewline
6 & 0.029052 & 0.2448 & 0.403661 \tabularnewline
7 & -0.047667 & -0.4016 & 0.344575 \tabularnewline
8 & 0.141435 & 1.1917 & 0.118664 \tabularnewline
9 & -0.025264 & -0.2129 & 0.416015 \tabularnewline
10 & -0.227136 & -1.9139 & 0.029833 \tabularnewline
11 & 0.092453 & 0.779 & 0.219278 \tabularnewline
12 & -0.226435 & -1.908 & 0.030219 \tabularnewline
13 & -0.074542 & -0.6281 & 0.265975 \tabularnewline
14 & 0.167539 & 1.4117 & 0.081202 \tabularnewline
15 & 0.139646 & 1.1767 & 0.121628 \tabularnewline
16 & 0.014287 & 0.1204 & 0.452259 \tabularnewline
17 & -0.078774 & -0.6638 & 0.254497 \tabularnewline
18 & 0.143114 & 1.2059 & 0.11593 \tabularnewline
19 & 0.002948 & 0.0248 & 0.490126 \tabularnewline
20 & -0.004221 & -0.0356 & 0.485864 \tabularnewline
21 & -0.012276 & -0.1034 & 0.458951 \tabularnewline
22 & -0.201031 & -1.6939 & 0.047332 \tabularnewline
23 & 0.066315 & 0.5588 & 0.289034 \tabularnewline
24 & -0.199213 & -1.6786 & 0.048813 \tabularnewline
25 & -0.140195 & -1.1813 & 0.120712 \tabularnewline
26 & -0.154162 & -1.299 & 0.099074 \tabularnewline
27 & 0.126792 & 1.0684 & 0.144487 \tabularnewline
28 & -0.007745 & -0.0653 & 0.474073 \tabularnewline
29 & 0.051355 & 0.4327 & 0.333262 \tabularnewline
30 & 0.005257 & 0.0443 & 0.482396 \tabularnewline
31 & -0.06193 & -0.5218 & 0.301707 \tabularnewline
32 & -0.068618 & -0.5782 & 0.282484 \tabularnewline
33 & 0.01035 & 0.0872 & 0.465374 \tabularnewline
34 & -0.11482 & -0.9675 & 0.168291 \tabularnewline
35 & 0.112003 & 0.9438 & 0.174248 \tabularnewline
36 & -0.08763 & -0.7384 & 0.231358 \tabularnewline
37 & -0.130413 & -1.0989 & 0.137767 \tabularnewline
38 & 0.029653 & 0.2499 & 0.401708 \tabularnewline
39 & -0.038413 & -0.3237 & 0.37357 \tabularnewline
40 & 0.103415 & 0.8714 & 0.193239 \tabularnewline
41 & 0.013835 & 0.1166 & 0.453763 \tabularnewline
42 & -0.136078 & -1.1466 & 0.127695 \tabularnewline
43 & 0.027758 & 0.2339 & 0.40787 \tabularnewline
44 & 0.019377 & 0.1633 & 0.435383 \tabularnewline
45 & -0.035765 & -0.3014 & 0.382009 \tabularnewline
46 & -0.091108 & -0.7677 & 0.222608 \tabularnewline
47 & 0.022245 & 0.1874 & 0.425924 \tabularnewline
48 & 0.006412 & 0.054 & 0.478533 \tabularnewline
49 & -0.078115 & -0.6582 & 0.256267 \tabularnewline
50 & -0.049457 & -0.4167 & 0.339066 \tabularnewline
51 & 0.047441 & 0.3997 & 0.345274 \tabularnewline
52 & -0.064649 & -0.5447 & 0.293819 \tabularnewline
53 & 0.0482 & 0.4061 & 0.34293 \tabularnewline
54 & -0.032245 & -0.2717 & 0.39332 \tabularnewline
55 & -0.070216 & -0.5916 & 0.277982 \tabularnewline
56 & -0.035462 & -0.2988 & 0.38298 \tabularnewline
57 & -0.018995 & -0.1601 & 0.436645 \tabularnewline
58 & -0.013178 & -0.111 & 0.45595 \tabularnewline
59 & -0.016958 & -0.1429 & 0.443391 \tabularnewline
60 & 0.064277 & 0.5416 & 0.294891 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=34713&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]-0.007413[/C][C]-0.0625[/C][C]0.475185[/C][/ROW]
[ROW][C]2[/C][C]0.080094[/C][C]0.6749[/C][C]0.250971[/C][/ROW]
[ROW][C]3[/C][C]0.128106[/C][C]1.0794[/C][C]0.142022[/C][/ROW]
[ROW][C]4[/C][C]0.001037[/C][C]0.0087[/C][C]0.496525[/C][/ROW]
[ROW][C]5[/C][C]0.072724[/C][C]0.6128[/C][C]0.270988[/C][/ROW]
[ROW][C]6[/C][C]0.029052[/C][C]0.2448[/C][C]0.403661[/C][/ROW]
[ROW][C]7[/C][C]-0.047667[/C][C]-0.4016[/C][C]0.344575[/C][/ROW]
[ROW][C]8[/C][C]0.141435[/C][C]1.1917[/C][C]0.118664[/C][/ROW]
[ROW][C]9[/C][C]-0.025264[/C][C]-0.2129[/C][C]0.416015[/C][/ROW]
[ROW][C]10[/C][C]-0.227136[/C][C]-1.9139[/C][C]0.029833[/C][/ROW]
[ROW][C]11[/C][C]0.092453[/C][C]0.779[/C][C]0.219278[/C][/ROW]
[ROW][C]12[/C][C]-0.226435[/C][C]-1.908[/C][C]0.030219[/C][/ROW]
[ROW][C]13[/C][C]-0.074542[/C][C]-0.6281[/C][C]0.265975[/C][/ROW]
[ROW][C]14[/C][C]0.167539[/C][C]1.4117[/C][C]0.081202[/C][/ROW]
[ROW][C]15[/C][C]0.139646[/C][C]1.1767[/C][C]0.121628[/C][/ROW]
[ROW][C]16[/C][C]0.014287[/C][C]0.1204[/C][C]0.452259[/C][/ROW]
[ROW][C]17[/C][C]-0.078774[/C][C]-0.6638[/C][C]0.254497[/C][/ROW]
[ROW][C]18[/C][C]0.143114[/C][C]1.2059[/C][C]0.11593[/C][/ROW]
[ROW][C]19[/C][C]0.002948[/C][C]0.0248[/C][C]0.490126[/C][/ROW]
[ROW][C]20[/C][C]-0.004221[/C][C]-0.0356[/C][C]0.485864[/C][/ROW]
[ROW][C]21[/C][C]-0.012276[/C][C]-0.1034[/C][C]0.458951[/C][/ROW]
[ROW][C]22[/C][C]-0.201031[/C][C]-1.6939[/C][C]0.047332[/C][/ROW]
[ROW][C]23[/C][C]0.066315[/C][C]0.5588[/C][C]0.289034[/C][/ROW]
[ROW][C]24[/C][C]-0.199213[/C][C]-1.6786[/C][C]0.048813[/C][/ROW]
[ROW][C]25[/C][C]-0.140195[/C][C]-1.1813[/C][C]0.120712[/C][/ROW]
[ROW][C]26[/C][C]-0.154162[/C][C]-1.299[/C][C]0.099074[/C][/ROW]
[ROW][C]27[/C][C]0.126792[/C][C]1.0684[/C][C]0.144487[/C][/ROW]
[ROW][C]28[/C][C]-0.007745[/C][C]-0.0653[/C][C]0.474073[/C][/ROW]
[ROW][C]29[/C][C]0.051355[/C][C]0.4327[/C][C]0.333262[/C][/ROW]
[ROW][C]30[/C][C]0.005257[/C][C]0.0443[/C][C]0.482396[/C][/ROW]
[ROW][C]31[/C][C]-0.06193[/C][C]-0.5218[/C][C]0.301707[/C][/ROW]
[ROW][C]32[/C][C]-0.068618[/C][C]-0.5782[/C][C]0.282484[/C][/ROW]
[ROW][C]33[/C][C]0.01035[/C][C]0.0872[/C][C]0.465374[/C][/ROW]
[ROW][C]34[/C][C]-0.11482[/C][C]-0.9675[/C][C]0.168291[/C][/ROW]
[ROW][C]35[/C][C]0.112003[/C][C]0.9438[/C][C]0.174248[/C][/ROW]
[ROW][C]36[/C][C]-0.08763[/C][C]-0.7384[/C][C]0.231358[/C][/ROW]
[ROW][C]37[/C][C]-0.130413[/C][C]-1.0989[/C][C]0.137767[/C][/ROW]
[ROW][C]38[/C][C]0.029653[/C][C]0.2499[/C][C]0.401708[/C][/ROW]
[ROW][C]39[/C][C]-0.038413[/C][C]-0.3237[/C][C]0.37357[/C][/ROW]
[ROW][C]40[/C][C]0.103415[/C][C]0.8714[/C][C]0.193239[/C][/ROW]
[ROW][C]41[/C][C]0.013835[/C][C]0.1166[/C][C]0.453763[/C][/ROW]
[ROW][C]42[/C][C]-0.136078[/C][C]-1.1466[/C][C]0.127695[/C][/ROW]
[ROW][C]43[/C][C]0.027758[/C][C]0.2339[/C][C]0.40787[/C][/ROW]
[ROW][C]44[/C][C]0.019377[/C][C]0.1633[/C][C]0.435383[/C][/ROW]
[ROW][C]45[/C][C]-0.035765[/C][C]-0.3014[/C][C]0.382009[/C][/ROW]
[ROW][C]46[/C][C]-0.091108[/C][C]-0.7677[/C][C]0.222608[/C][/ROW]
[ROW][C]47[/C][C]0.022245[/C][C]0.1874[/C][C]0.425924[/C][/ROW]
[ROW][C]48[/C][C]0.006412[/C][C]0.054[/C][C]0.478533[/C][/ROW]
[ROW][C]49[/C][C]-0.078115[/C][C]-0.6582[/C][C]0.256267[/C][/ROW]
[ROW][C]50[/C][C]-0.049457[/C][C]-0.4167[/C][C]0.339066[/C][/ROW]
[ROW][C]51[/C][C]0.047441[/C][C]0.3997[/C][C]0.345274[/C][/ROW]
[ROW][C]52[/C][C]-0.064649[/C][C]-0.5447[/C][C]0.293819[/C][/ROW]
[ROW][C]53[/C][C]0.0482[/C][C]0.4061[/C][C]0.34293[/C][/ROW]
[ROW][C]54[/C][C]-0.032245[/C][C]-0.2717[/C][C]0.39332[/C][/ROW]
[ROW][C]55[/C][C]-0.070216[/C][C]-0.5916[/C][C]0.277982[/C][/ROW]
[ROW][C]56[/C][C]-0.035462[/C][C]-0.2988[/C][C]0.38298[/C][/ROW]
[ROW][C]57[/C][C]-0.018995[/C][C]-0.1601[/C][C]0.436645[/C][/ROW]
[ROW][C]58[/C][C]-0.013178[/C][C]-0.111[/C][C]0.45595[/C][/ROW]
[ROW][C]59[/C][C]-0.016958[/C][C]-0.1429[/C][C]0.443391[/C][/ROW]
[ROW][C]60[/C][C]0.064277[/C][C]0.5416[/C][C]0.294891[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=34713&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=34713&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
1-0.007413-0.06250.475185
20.0800940.67490.250971
30.1281061.07940.142022
40.0010370.00870.496525
50.0727240.61280.270988
60.0290520.24480.403661
7-0.047667-0.40160.344575
80.1414351.19170.118664
9-0.025264-0.21290.416015
10-0.227136-1.91390.029833
110.0924530.7790.219278
12-0.226435-1.9080.030219
13-0.074542-0.62810.265975
140.1675391.41170.081202
150.1396461.17670.121628
160.0142870.12040.452259
17-0.078774-0.66380.254497
180.1431141.20590.11593
190.0029480.02480.490126
20-0.004221-0.03560.485864
21-0.012276-0.10340.458951
22-0.201031-1.69390.047332
230.0663150.55880.289034
24-0.199213-1.67860.048813
25-0.140195-1.18130.120712
26-0.154162-1.2990.099074
270.1267921.06840.144487
28-0.007745-0.06530.474073
290.0513550.43270.333262
300.0052570.04430.482396
31-0.06193-0.52180.301707
32-0.068618-0.57820.282484
330.010350.08720.465374
34-0.11482-0.96750.168291
350.1120030.94380.174248
36-0.08763-0.73840.231358
37-0.130413-1.09890.137767
380.0296530.24990.401708
39-0.038413-0.32370.37357
400.1034150.87140.193239
410.0138350.11660.453763
42-0.136078-1.14660.127695
430.0277580.23390.40787
440.0193770.16330.435383
45-0.035765-0.30140.382009
46-0.091108-0.76770.222608
470.0222450.18740.425924
480.0064120.0540.478533
49-0.078115-0.65820.256267
50-0.049457-0.41670.339066
510.0474410.39970.345274
52-0.064649-0.54470.293819
530.04820.40610.34293
54-0.032245-0.27170.39332
55-0.070216-0.59160.277982
56-0.035462-0.29880.38298
57-0.018995-0.16010.436645
58-0.013178-0.1110.45595
59-0.016958-0.14290.443391
600.0642770.54160.294891



Parameters (Session):
par1 = 60 ; par2 = 1 ; par3 = 1 ; par4 = 1 ; par5 = 12 ;
Parameters (R input):
par1 = 60 ; 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 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')