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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationThu, 18 Dec 2008 08:12:37 -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/t1229613196xfshn18066njr3z.htm/, Retrieved Sat, 11 May 2024 15:50:25 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=34829, Retrieved Sat, 11 May 2024 15:50:25 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsSeverijns Britt
Estimated Impact165
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [ARIMA Forecasting] [paper forcasting] [2008-12-18 13:18:00] [9ea94c8297ec7e569f27218c1d8ea30f]
- RMP     [(Partial) Autocorrelation Function] [paper ACF d en D 0] [2008-12-18 15:12:37] [78308c9f3efc33d1da821bcd963df161] [Current]
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Dataseries X:
492865
480961
461935
456608
441977
439148
488180
520564
501492
485025
464196
460170
467037
460070
447988
442867
436087
431328
484015
509673
512927
502831
470984
471067
476049
474605
470439
461251
454724
455626
516847
525192
522975
518585
509239
512238
519164
517009
509933
509127
500857
506971
569323
579714
577992
565464
547344
554788
562325
560854
555332
543599
536662
542722
593530
610763
612613
611324
594167
595454
590865
589379
584428
573100
567456
569028
620735
628884
628232
612117
595404
597141
593408
590072
579799
574205
572775
572942
619567
625809
619916
587625
565742
557274
560576
548854
531673
525919
511038
498662
555362
564591
541657
527070
509846
514258
516922
507561
492622
490243
469357
477580
528379
533590




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 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 & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=34829&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=34829&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=34829&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'Gwilym Jenkins' @ 72.249.127.135







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.9304879.48910
20.8233218.39630
30.7383167.52940
40.6907297.04410
50.6805826.94060
60.6672186.80430
70.6357716.48360
80.6033886.15340
90.6036686.15620
100.6360556.48650
110.689237.02880
120.7061567.20140
130.6166986.28910
140.5003135.10221e-06
150.3992594.07174.6e-05
160.3323813.38960.000495
170.3005563.06510.001386
180.2663422.71620.003868
190.2207142.25090.013249
200.1763221.79810.037528
210.1668431.70150.045922
220.1884271.92160.028697
230.2223462.26750.012714
240.2232862.27710.012414
250.1377281.40460.081566
260.0344180.3510.36315
27-0.050174-0.51170.30498
28-0.104867-1.06940.143674
29-0.131893-1.34510.090767
30-0.161977-1.65180.050791
31-0.197237-2.01140.023433
32-0.230627-2.35190.010279
33-0.232681-2.37290.009743
34-0.207979-2.1210.01815
35-0.169812-1.73170.043142
36-0.158981-1.62130.053991
37-0.223416-2.27840.012373
38-0.304494-3.10520.001225
39-0.36906-3.76370.000139
40-0.401951-4.09914.1e-05
41-0.410544-4.18673e-05
42-0.419489-4.2782.1e-05
43-0.43201-4.40571.3e-05
44-0.443081-4.51868e-06
45-0.426438-4.34881.6e-05
46-0.38886-3.96566.7e-05
47-0.341044-3.4780.000369
48-0.314585-3.20820.000888
49-0.350047-3.56980.000271
50-0.399646-4.07564.5e-05
51-0.434736-4.43351.2e-05
52-0.44674-4.55597e-06
53-0.439474-4.48181e-05
54-0.429101-4.3761.4e-05
55-0.422514-4.30881.9e-05
56-0.412856-4.21032.7e-05
57-0.380655-3.88199.1e-05
58-0.332592-3.39180.000491
59-0.276027-2.81490.002918
60-0.239765-2.44510.00808

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.930487 & 9.4891 & 0 \tabularnewline
2 & 0.823321 & 8.3963 & 0 \tabularnewline
3 & 0.738316 & 7.5294 & 0 \tabularnewline
4 & 0.690729 & 7.0441 & 0 \tabularnewline
5 & 0.680582 & 6.9406 & 0 \tabularnewline
6 & 0.667218 & 6.8043 & 0 \tabularnewline
7 & 0.635771 & 6.4836 & 0 \tabularnewline
8 & 0.603388 & 6.1534 & 0 \tabularnewline
9 & 0.603668 & 6.1562 & 0 \tabularnewline
10 & 0.636055 & 6.4865 & 0 \tabularnewline
11 & 0.68923 & 7.0288 & 0 \tabularnewline
12 & 0.706156 & 7.2014 & 0 \tabularnewline
13 & 0.616698 & 6.2891 & 0 \tabularnewline
14 & 0.500313 & 5.1022 & 1e-06 \tabularnewline
15 & 0.399259 & 4.0717 & 4.6e-05 \tabularnewline
16 & 0.332381 & 3.3896 & 0.000495 \tabularnewline
17 & 0.300556 & 3.0651 & 0.001386 \tabularnewline
18 & 0.266342 & 2.7162 & 0.003868 \tabularnewline
19 & 0.220714 & 2.2509 & 0.013249 \tabularnewline
20 & 0.176322 & 1.7981 & 0.037528 \tabularnewline
21 & 0.166843 & 1.7015 & 0.045922 \tabularnewline
22 & 0.188427 & 1.9216 & 0.028697 \tabularnewline
23 & 0.222346 & 2.2675 & 0.012714 \tabularnewline
24 & 0.223286 & 2.2771 & 0.012414 \tabularnewline
25 & 0.137728 & 1.4046 & 0.081566 \tabularnewline
26 & 0.034418 & 0.351 & 0.36315 \tabularnewline
27 & -0.050174 & -0.5117 & 0.30498 \tabularnewline
28 & -0.104867 & -1.0694 & 0.143674 \tabularnewline
29 & -0.131893 & -1.3451 & 0.090767 \tabularnewline
30 & -0.161977 & -1.6518 & 0.050791 \tabularnewline
31 & -0.197237 & -2.0114 & 0.023433 \tabularnewline
32 & -0.230627 & -2.3519 & 0.010279 \tabularnewline
33 & -0.232681 & -2.3729 & 0.009743 \tabularnewline
34 & -0.207979 & -2.121 & 0.01815 \tabularnewline
35 & -0.169812 & -1.7317 & 0.043142 \tabularnewline
36 & -0.158981 & -1.6213 & 0.053991 \tabularnewline
37 & -0.223416 & -2.2784 & 0.012373 \tabularnewline
38 & -0.304494 & -3.1052 & 0.001225 \tabularnewline
39 & -0.36906 & -3.7637 & 0.000139 \tabularnewline
40 & -0.401951 & -4.0991 & 4.1e-05 \tabularnewline
41 & -0.410544 & -4.1867 & 3e-05 \tabularnewline
42 & -0.419489 & -4.278 & 2.1e-05 \tabularnewline
43 & -0.43201 & -4.4057 & 1.3e-05 \tabularnewline
44 & -0.443081 & -4.5186 & 8e-06 \tabularnewline
45 & -0.426438 & -4.3488 & 1.6e-05 \tabularnewline
46 & -0.38886 & -3.9656 & 6.7e-05 \tabularnewline
47 & -0.341044 & -3.478 & 0.000369 \tabularnewline
48 & -0.314585 & -3.2082 & 0.000888 \tabularnewline
49 & -0.350047 & -3.5698 & 0.000271 \tabularnewline
50 & -0.399646 & -4.0756 & 4.5e-05 \tabularnewline
51 & -0.434736 & -4.4335 & 1.2e-05 \tabularnewline
52 & -0.44674 & -4.5559 & 7e-06 \tabularnewline
53 & -0.439474 & -4.4818 & 1e-05 \tabularnewline
54 & -0.429101 & -4.376 & 1.4e-05 \tabularnewline
55 & -0.422514 & -4.3088 & 1.9e-05 \tabularnewline
56 & -0.412856 & -4.2103 & 2.7e-05 \tabularnewline
57 & -0.380655 & -3.8819 & 9.1e-05 \tabularnewline
58 & -0.332592 & -3.3918 & 0.000491 \tabularnewline
59 & -0.276027 & -2.8149 & 0.002918 \tabularnewline
60 & -0.239765 & -2.4451 & 0.00808 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=34829&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]0.930487[/C][C]9.4891[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.823321[/C][C]8.3963[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.738316[/C][C]7.5294[/C][C]0[/C][/ROW]
[ROW][C]4[/C][C]0.690729[/C][C]7.0441[/C][C]0[/C][/ROW]
[ROW][C]5[/C][C]0.680582[/C][C]6.9406[/C][C]0[/C][/ROW]
[ROW][C]6[/C][C]0.667218[/C][C]6.8043[/C][C]0[/C][/ROW]
[ROW][C]7[/C][C]0.635771[/C][C]6.4836[/C][C]0[/C][/ROW]
[ROW][C]8[/C][C]0.603388[/C][C]6.1534[/C][C]0[/C][/ROW]
[ROW][C]9[/C][C]0.603668[/C][C]6.1562[/C][C]0[/C][/ROW]
[ROW][C]10[/C][C]0.636055[/C][C]6.4865[/C][C]0[/C][/ROW]
[ROW][C]11[/C][C]0.68923[/C][C]7.0288[/C][C]0[/C][/ROW]
[ROW][C]12[/C][C]0.706156[/C][C]7.2014[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]0.616698[/C][C]6.2891[/C][C]0[/C][/ROW]
[ROW][C]14[/C][C]0.500313[/C][C]5.1022[/C][C]1e-06[/C][/ROW]
[ROW][C]15[/C][C]0.399259[/C][C]4.0717[/C][C]4.6e-05[/C][/ROW]
[ROW][C]16[/C][C]0.332381[/C][C]3.3896[/C][C]0.000495[/C][/ROW]
[ROW][C]17[/C][C]0.300556[/C][C]3.0651[/C][C]0.001386[/C][/ROW]
[ROW][C]18[/C][C]0.266342[/C][C]2.7162[/C][C]0.003868[/C][/ROW]
[ROW][C]19[/C][C]0.220714[/C][C]2.2509[/C][C]0.013249[/C][/ROW]
[ROW][C]20[/C][C]0.176322[/C][C]1.7981[/C][C]0.037528[/C][/ROW]
[ROW][C]21[/C][C]0.166843[/C][C]1.7015[/C][C]0.045922[/C][/ROW]
[ROW][C]22[/C][C]0.188427[/C][C]1.9216[/C][C]0.028697[/C][/ROW]
[ROW][C]23[/C][C]0.222346[/C][C]2.2675[/C][C]0.012714[/C][/ROW]
[ROW][C]24[/C][C]0.223286[/C][C]2.2771[/C][C]0.012414[/C][/ROW]
[ROW][C]25[/C][C]0.137728[/C][C]1.4046[/C][C]0.081566[/C][/ROW]
[ROW][C]26[/C][C]0.034418[/C][C]0.351[/C][C]0.36315[/C][/ROW]
[ROW][C]27[/C][C]-0.050174[/C][C]-0.5117[/C][C]0.30498[/C][/ROW]
[ROW][C]28[/C][C]-0.104867[/C][C]-1.0694[/C][C]0.143674[/C][/ROW]
[ROW][C]29[/C][C]-0.131893[/C][C]-1.3451[/C][C]0.090767[/C][/ROW]
[ROW][C]30[/C][C]-0.161977[/C][C]-1.6518[/C][C]0.050791[/C][/ROW]
[ROW][C]31[/C][C]-0.197237[/C][C]-2.0114[/C][C]0.023433[/C][/ROW]
[ROW][C]32[/C][C]-0.230627[/C][C]-2.3519[/C][C]0.010279[/C][/ROW]
[ROW][C]33[/C][C]-0.232681[/C][C]-2.3729[/C][C]0.009743[/C][/ROW]
[ROW][C]34[/C][C]-0.207979[/C][C]-2.121[/C][C]0.01815[/C][/ROW]
[ROW][C]35[/C][C]-0.169812[/C][C]-1.7317[/C][C]0.043142[/C][/ROW]
[ROW][C]36[/C][C]-0.158981[/C][C]-1.6213[/C][C]0.053991[/C][/ROW]
[ROW][C]37[/C][C]-0.223416[/C][C]-2.2784[/C][C]0.012373[/C][/ROW]
[ROW][C]38[/C][C]-0.304494[/C][C]-3.1052[/C][C]0.001225[/C][/ROW]
[ROW][C]39[/C][C]-0.36906[/C][C]-3.7637[/C][C]0.000139[/C][/ROW]
[ROW][C]40[/C][C]-0.401951[/C][C]-4.0991[/C][C]4.1e-05[/C][/ROW]
[ROW][C]41[/C][C]-0.410544[/C][C]-4.1867[/C][C]3e-05[/C][/ROW]
[ROW][C]42[/C][C]-0.419489[/C][C]-4.278[/C][C]2.1e-05[/C][/ROW]
[ROW][C]43[/C][C]-0.43201[/C][C]-4.4057[/C][C]1.3e-05[/C][/ROW]
[ROW][C]44[/C][C]-0.443081[/C][C]-4.5186[/C][C]8e-06[/C][/ROW]
[ROW][C]45[/C][C]-0.426438[/C][C]-4.3488[/C][C]1.6e-05[/C][/ROW]
[ROW][C]46[/C][C]-0.38886[/C][C]-3.9656[/C][C]6.7e-05[/C][/ROW]
[ROW][C]47[/C][C]-0.341044[/C][C]-3.478[/C][C]0.000369[/C][/ROW]
[ROW][C]48[/C][C]-0.314585[/C][C]-3.2082[/C][C]0.000888[/C][/ROW]
[ROW][C]49[/C][C]-0.350047[/C][C]-3.5698[/C][C]0.000271[/C][/ROW]
[ROW][C]50[/C][C]-0.399646[/C][C]-4.0756[/C][C]4.5e-05[/C][/ROW]
[ROW][C]51[/C][C]-0.434736[/C][C]-4.4335[/C][C]1.2e-05[/C][/ROW]
[ROW][C]52[/C][C]-0.44674[/C][C]-4.5559[/C][C]7e-06[/C][/ROW]
[ROW][C]53[/C][C]-0.439474[/C][C]-4.4818[/C][C]1e-05[/C][/ROW]
[ROW][C]54[/C][C]-0.429101[/C][C]-4.376[/C][C]1.4e-05[/C][/ROW]
[ROW][C]55[/C][C]-0.422514[/C][C]-4.3088[/C][C]1.9e-05[/C][/ROW]
[ROW][C]56[/C][C]-0.412856[/C][C]-4.2103[/C][C]2.7e-05[/C][/ROW]
[ROW][C]57[/C][C]-0.380655[/C][C]-3.8819[/C][C]9.1e-05[/C][/ROW]
[ROW][C]58[/C][C]-0.332592[/C][C]-3.3918[/C][C]0.000491[/C][/ROW]
[ROW][C]59[/C][C]-0.276027[/C][C]-2.8149[/C][C]0.002918[/C][/ROW]
[ROW][C]60[/C][C]-0.239765[/C][C]-2.4451[/C][C]0.00808[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=34829&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=34829&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
10.9304879.48910
20.8233218.39630
30.7383167.52940
40.6907297.04410
50.6805826.94060
60.6672186.80430
70.6357716.48360
80.6033886.15340
90.6036686.15620
100.6360556.48650
110.689237.02880
120.7061567.20140
130.6166986.28910
140.5003135.10221e-06
150.3992594.07174.6e-05
160.3323813.38960.000495
170.3005563.06510.001386
180.2663422.71620.003868
190.2207142.25090.013249
200.1763221.79810.037528
210.1668431.70150.045922
220.1884271.92160.028697
230.2223462.26750.012714
240.2232862.27710.012414
250.1377281.40460.081566
260.0344180.3510.36315
27-0.050174-0.51170.30498
28-0.104867-1.06940.143674
29-0.131893-1.34510.090767
30-0.161977-1.65180.050791
31-0.197237-2.01140.023433
32-0.230627-2.35190.010279
33-0.232681-2.37290.009743
34-0.207979-2.1210.01815
35-0.169812-1.73170.043142
36-0.158981-1.62130.053991
37-0.223416-2.27840.012373
38-0.304494-3.10520.001225
39-0.36906-3.76370.000139
40-0.401951-4.09914.1e-05
41-0.410544-4.18673e-05
42-0.419489-4.2782.1e-05
43-0.43201-4.40571.3e-05
44-0.443081-4.51868e-06
45-0.426438-4.34881.6e-05
46-0.38886-3.96566.7e-05
47-0.341044-3.4780.000369
48-0.314585-3.20820.000888
49-0.350047-3.56980.000271
50-0.399646-4.07564.5e-05
51-0.434736-4.43351.2e-05
52-0.44674-4.55597e-06
53-0.439474-4.48181e-05
54-0.429101-4.3761.4e-05
55-0.422514-4.30881.9e-05
56-0.412856-4.21032.7e-05
57-0.380655-3.88199.1e-05
58-0.332592-3.39180.000491
59-0.276027-2.81490.002918
60-0.239765-2.44510.00808







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.9304879.48910
2-0.316593-3.22860.000832
30.2010412.05020.021429
40.1347461.37410.086176
50.1827821.8640.03257
6-0.108211-1.10350.13617
70.0011580.01180.495298
80.0913370.93150.176886
90.2666162.7190.003837
100.1092051.11370.133993
110.2070512.11150.018562
12-0.221088-2.25470.013125
13-0.660985-6.74080
140.1193981.21760.113061
15-0.17712-1.80630.036883
16-0.073436-0.74890.227803
17-0.072827-0.74270.229672
18-0.00567-0.05780.477002
190.0245640.25050.401345
20-0.050754-0.51760.302922
210.1471161.50030.068284
22-0.005266-0.05370.478637
23-0.09773-0.99670.160622
240.0728190.74260.229696
25-0.140258-1.43040.077805
260.0659990.67310.251201
270.0541290.5520.291064
28-0.08354-0.85190.1981
29-0.022833-0.23290.408165
30-0.024339-0.24820.402231
310.07410.75570.225777
32-0.110892-1.13090.130354
33-0.069152-0.70520.241128
340.03310.33760.368191
350.056180.57290.283967
36-0.014653-0.14940.44075
37-0.071312-0.72720.234355
38-0.06529-0.66580.253498
39-0.003032-0.03090.487694
400.0666580.67980.249077
41-0.053718-0.54780.292496
420.0783150.79870.213154
43-0.050306-0.5130.304513
440.0490440.50020.309011
45-0.006415-0.06540.473983
46-0.04328-0.44140.329929
470.0140470.14330.443183
480.0135350.1380.445241
49-0.000112-0.00110.499546
500.0180080.18360.427326
510.0250170.25510.399566
52-0.084247-0.85920.196117
53-0.013962-0.14240.443526
540.0187410.19110.424401
55-0.041021-0.41830.338283
560.050440.51440.304037
57-0.072693-0.74130.230084
580.0387970.39560.346587
59-0.007895-0.08050.467991
60-0.007314-0.07460.470344

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.930487 & 9.4891 & 0 \tabularnewline
2 & -0.316593 & -3.2286 & 0.000832 \tabularnewline
3 & 0.201041 & 2.0502 & 0.021429 \tabularnewline
4 & 0.134746 & 1.3741 & 0.086176 \tabularnewline
5 & 0.182782 & 1.864 & 0.03257 \tabularnewline
6 & -0.108211 & -1.1035 & 0.13617 \tabularnewline
7 & 0.001158 & 0.0118 & 0.495298 \tabularnewline
8 & 0.091337 & 0.9315 & 0.176886 \tabularnewline
9 & 0.266616 & 2.719 & 0.003837 \tabularnewline
10 & 0.109205 & 1.1137 & 0.133993 \tabularnewline
11 & 0.207051 & 2.1115 & 0.018562 \tabularnewline
12 & -0.221088 & -2.2547 & 0.013125 \tabularnewline
13 & -0.660985 & -6.7408 & 0 \tabularnewline
14 & 0.119398 & 1.2176 & 0.113061 \tabularnewline
15 & -0.17712 & -1.8063 & 0.036883 \tabularnewline
16 & -0.073436 & -0.7489 & 0.227803 \tabularnewline
17 & -0.072827 & -0.7427 & 0.229672 \tabularnewline
18 & -0.00567 & -0.0578 & 0.477002 \tabularnewline
19 & 0.024564 & 0.2505 & 0.401345 \tabularnewline
20 & -0.050754 & -0.5176 & 0.302922 \tabularnewline
21 & 0.147116 & 1.5003 & 0.068284 \tabularnewline
22 & -0.005266 & -0.0537 & 0.478637 \tabularnewline
23 & -0.09773 & -0.9967 & 0.160622 \tabularnewline
24 & 0.072819 & 0.7426 & 0.229696 \tabularnewline
25 & -0.140258 & -1.4304 & 0.077805 \tabularnewline
26 & 0.065999 & 0.6731 & 0.251201 \tabularnewline
27 & 0.054129 & 0.552 & 0.291064 \tabularnewline
28 & -0.08354 & -0.8519 & 0.1981 \tabularnewline
29 & -0.022833 & -0.2329 & 0.408165 \tabularnewline
30 & -0.024339 & -0.2482 & 0.402231 \tabularnewline
31 & 0.0741 & 0.7557 & 0.225777 \tabularnewline
32 & -0.110892 & -1.1309 & 0.130354 \tabularnewline
33 & -0.069152 & -0.7052 & 0.241128 \tabularnewline
34 & 0.0331 & 0.3376 & 0.368191 \tabularnewline
35 & 0.05618 & 0.5729 & 0.283967 \tabularnewline
36 & -0.014653 & -0.1494 & 0.44075 \tabularnewline
37 & -0.071312 & -0.7272 & 0.234355 \tabularnewline
38 & -0.06529 & -0.6658 & 0.253498 \tabularnewline
39 & -0.003032 & -0.0309 & 0.487694 \tabularnewline
40 & 0.066658 & 0.6798 & 0.249077 \tabularnewline
41 & -0.053718 & -0.5478 & 0.292496 \tabularnewline
42 & 0.078315 & 0.7987 & 0.213154 \tabularnewline
43 & -0.050306 & -0.513 & 0.304513 \tabularnewline
44 & 0.049044 & 0.5002 & 0.309011 \tabularnewline
45 & -0.006415 & -0.0654 & 0.473983 \tabularnewline
46 & -0.04328 & -0.4414 & 0.329929 \tabularnewline
47 & 0.014047 & 0.1433 & 0.443183 \tabularnewline
48 & 0.013535 & 0.138 & 0.445241 \tabularnewline
49 & -0.000112 & -0.0011 & 0.499546 \tabularnewline
50 & 0.018008 & 0.1836 & 0.427326 \tabularnewline
51 & 0.025017 & 0.2551 & 0.399566 \tabularnewline
52 & -0.084247 & -0.8592 & 0.196117 \tabularnewline
53 & -0.013962 & -0.1424 & 0.443526 \tabularnewline
54 & 0.018741 & 0.1911 & 0.424401 \tabularnewline
55 & -0.041021 & -0.4183 & 0.338283 \tabularnewline
56 & 0.05044 & 0.5144 & 0.304037 \tabularnewline
57 & -0.072693 & -0.7413 & 0.230084 \tabularnewline
58 & 0.038797 & 0.3956 & 0.346587 \tabularnewline
59 & -0.007895 & -0.0805 & 0.467991 \tabularnewline
60 & -0.007314 & -0.0746 & 0.470344 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=34829&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]0.930487[/C][C]9.4891[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]-0.316593[/C][C]-3.2286[/C][C]0.000832[/C][/ROW]
[ROW][C]3[/C][C]0.201041[/C][C]2.0502[/C][C]0.021429[/C][/ROW]
[ROW][C]4[/C][C]0.134746[/C][C]1.3741[/C][C]0.086176[/C][/ROW]
[ROW][C]5[/C][C]0.182782[/C][C]1.864[/C][C]0.03257[/C][/ROW]
[ROW][C]6[/C][C]-0.108211[/C][C]-1.1035[/C][C]0.13617[/C][/ROW]
[ROW][C]7[/C][C]0.001158[/C][C]0.0118[/C][C]0.495298[/C][/ROW]
[ROW][C]8[/C][C]0.091337[/C][C]0.9315[/C][C]0.176886[/C][/ROW]
[ROW][C]9[/C][C]0.266616[/C][C]2.719[/C][C]0.003837[/C][/ROW]
[ROW][C]10[/C][C]0.109205[/C][C]1.1137[/C][C]0.133993[/C][/ROW]
[ROW][C]11[/C][C]0.207051[/C][C]2.1115[/C][C]0.018562[/C][/ROW]
[ROW][C]12[/C][C]-0.221088[/C][C]-2.2547[/C][C]0.013125[/C][/ROW]
[ROW][C]13[/C][C]-0.660985[/C][C]-6.7408[/C][C]0[/C][/ROW]
[ROW][C]14[/C][C]0.119398[/C][C]1.2176[/C][C]0.113061[/C][/ROW]
[ROW][C]15[/C][C]-0.17712[/C][C]-1.8063[/C][C]0.036883[/C][/ROW]
[ROW][C]16[/C][C]-0.073436[/C][C]-0.7489[/C][C]0.227803[/C][/ROW]
[ROW][C]17[/C][C]-0.072827[/C][C]-0.7427[/C][C]0.229672[/C][/ROW]
[ROW][C]18[/C][C]-0.00567[/C][C]-0.0578[/C][C]0.477002[/C][/ROW]
[ROW][C]19[/C][C]0.024564[/C][C]0.2505[/C][C]0.401345[/C][/ROW]
[ROW][C]20[/C][C]-0.050754[/C][C]-0.5176[/C][C]0.302922[/C][/ROW]
[ROW][C]21[/C][C]0.147116[/C][C]1.5003[/C][C]0.068284[/C][/ROW]
[ROW][C]22[/C][C]-0.005266[/C][C]-0.0537[/C][C]0.478637[/C][/ROW]
[ROW][C]23[/C][C]-0.09773[/C][C]-0.9967[/C][C]0.160622[/C][/ROW]
[ROW][C]24[/C][C]0.072819[/C][C]0.7426[/C][C]0.229696[/C][/ROW]
[ROW][C]25[/C][C]-0.140258[/C][C]-1.4304[/C][C]0.077805[/C][/ROW]
[ROW][C]26[/C][C]0.065999[/C][C]0.6731[/C][C]0.251201[/C][/ROW]
[ROW][C]27[/C][C]0.054129[/C][C]0.552[/C][C]0.291064[/C][/ROW]
[ROW][C]28[/C][C]-0.08354[/C][C]-0.8519[/C][C]0.1981[/C][/ROW]
[ROW][C]29[/C][C]-0.022833[/C][C]-0.2329[/C][C]0.408165[/C][/ROW]
[ROW][C]30[/C][C]-0.024339[/C][C]-0.2482[/C][C]0.402231[/C][/ROW]
[ROW][C]31[/C][C]0.0741[/C][C]0.7557[/C][C]0.225777[/C][/ROW]
[ROW][C]32[/C][C]-0.110892[/C][C]-1.1309[/C][C]0.130354[/C][/ROW]
[ROW][C]33[/C][C]-0.069152[/C][C]-0.7052[/C][C]0.241128[/C][/ROW]
[ROW][C]34[/C][C]0.0331[/C][C]0.3376[/C][C]0.368191[/C][/ROW]
[ROW][C]35[/C][C]0.05618[/C][C]0.5729[/C][C]0.283967[/C][/ROW]
[ROW][C]36[/C][C]-0.014653[/C][C]-0.1494[/C][C]0.44075[/C][/ROW]
[ROW][C]37[/C][C]-0.071312[/C][C]-0.7272[/C][C]0.234355[/C][/ROW]
[ROW][C]38[/C][C]-0.06529[/C][C]-0.6658[/C][C]0.253498[/C][/ROW]
[ROW][C]39[/C][C]-0.003032[/C][C]-0.0309[/C][C]0.487694[/C][/ROW]
[ROW][C]40[/C][C]0.066658[/C][C]0.6798[/C][C]0.249077[/C][/ROW]
[ROW][C]41[/C][C]-0.053718[/C][C]-0.5478[/C][C]0.292496[/C][/ROW]
[ROW][C]42[/C][C]0.078315[/C][C]0.7987[/C][C]0.213154[/C][/ROW]
[ROW][C]43[/C][C]-0.050306[/C][C]-0.513[/C][C]0.304513[/C][/ROW]
[ROW][C]44[/C][C]0.049044[/C][C]0.5002[/C][C]0.309011[/C][/ROW]
[ROW][C]45[/C][C]-0.006415[/C][C]-0.0654[/C][C]0.473983[/C][/ROW]
[ROW][C]46[/C][C]-0.04328[/C][C]-0.4414[/C][C]0.329929[/C][/ROW]
[ROW][C]47[/C][C]0.014047[/C][C]0.1433[/C][C]0.443183[/C][/ROW]
[ROW][C]48[/C][C]0.013535[/C][C]0.138[/C][C]0.445241[/C][/ROW]
[ROW][C]49[/C][C]-0.000112[/C][C]-0.0011[/C][C]0.499546[/C][/ROW]
[ROW][C]50[/C][C]0.018008[/C][C]0.1836[/C][C]0.427326[/C][/ROW]
[ROW][C]51[/C][C]0.025017[/C][C]0.2551[/C][C]0.399566[/C][/ROW]
[ROW][C]52[/C][C]-0.084247[/C][C]-0.8592[/C][C]0.196117[/C][/ROW]
[ROW][C]53[/C][C]-0.013962[/C][C]-0.1424[/C][C]0.443526[/C][/ROW]
[ROW][C]54[/C][C]0.018741[/C][C]0.1911[/C][C]0.424401[/C][/ROW]
[ROW][C]55[/C][C]-0.041021[/C][C]-0.4183[/C][C]0.338283[/C][/ROW]
[ROW][C]56[/C][C]0.05044[/C][C]0.5144[/C][C]0.304037[/C][/ROW]
[ROW][C]57[/C][C]-0.072693[/C][C]-0.7413[/C][C]0.230084[/C][/ROW]
[ROW][C]58[/C][C]0.038797[/C][C]0.3956[/C][C]0.346587[/C][/ROW]
[ROW][C]59[/C][C]-0.007895[/C][C]-0.0805[/C][C]0.467991[/C][/ROW]
[ROW][C]60[/C][C]-0.007314[/C][C]-0.0746[/C][C]0.470344[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=34829&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=34829&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
10.9304879.48910
2-0.316593-3.22860.000832
30.2010412.05020.021429
40.1347461.37410.086176
50.1827821.8640.03257
6-0.108211-1.10350.13617
70.0011580.01180.495298
80.0913370.93150.176886
90.2666162.7190.003837
100.1092051.11370.133993
110.2070512.11150.018562
12-0.221088-2.25470.013125
13-0.660985-6.74080
140.1193981.21760.113061
15-0.17712-1.80630.036883
16-0.073436-0.74890.227803
17-0.072827-0.74270.229672
18-0.00567-0.05780.477002
190.0245640.25050.401345
20-0.050754-0.51760.302922
210.1471161.50030.068284
22-0.005266-0.05370.478637
23-0.09773-0.99670.160622
240.0728190.74260.229696
25-0.140258-1.43040.077805
260.0659990.67310.251201
270.0541290.5520.291064
28-0.08354-0.85190.1981
29-0.022833-0.23290.408165
30-0.024339-0.24820.402231
310.07410.75570.225777
32-0.110892-1.13090.130354
33-0.069152-0.70520.241128
340.03310.33760.368191
350.056180.57290.283967
36-0.014653-0.14940.44075
37-0.071312-0.72720.234355
38-0.06529-0.66580.253498
39-0.003032-0.03090.487694
400.0666580.67980.249077
41-0.053718-0.54780.292496
420.0783150.79870.213154
43-0.050306-0.5130.304513
440.0490440.50020.309011
45-0.006415-0.06540.473983
46-0.04328-0.44140.329929
470.0140470.14330.443183
480.0135350.1380.445241
49-0.000112-0.00110.499546
500.0180080.18360.427326
510.0250170.25510.399566
52-0.084247-0.85920.196117
53-0.013962-0.14240.443526
540.0187410.19110.424401
55-0.041021-0.41830.338283
560.050440.51440.304037
57-0.072693-0.74130.230084
580.0387970.39560.346587
59-0.007895-0.08050.467991
60-0.007314-0.07460.470344



Parameters (Session):
par1 = 60 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ;
Parameters (R input):
par1 = 60 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; 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')