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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, 18 Dec 2007 03:02:56 -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/Dec/18/t1197971169lxj4i8jq0qbi4eu.htm/, Retrieved Sat, 04 May 2024 17:45:06 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=4473, Retrieved Sat, 04 May 2024 17:45:06 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact231
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [autocorrelatie di...] [2007-12-18 10:02:56] [d02236afd58a58d13a748bbf41a37c2e] [Current]
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Dataseries X:
36429
32720
34490
34749
30945
34302
30400
25543
32188
34395
27148
26634
34257
34794
38927
38512
33325
40658
32719
29323
34384
35153
30937
28079
39703
35245
41324
40802
37732
41527
33441
32885
36804
35593
34355
27045
45587
40370
48209
40275
36760
42588
35365
33014
36944
35649
34814
26041
45636
40040
47725
40263
43339
47283
40492
35768
28539
42971
36144
26950




Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\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 & 2 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ 193.190.124.10:1001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=4473&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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ 193.190.124.10:1001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=4473&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=4473&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 time2 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001







Autocorrelation Function
Time lag kACF(k)T-STATP-value
017.7460
10.2932922.27180.013348
20.2360971.82880.0362
30.2016851.56220.061745
40.1456531.12820.131858
50.0255730.19810.421823
6-0.254437-1.97090.973321
7-0.057016-0.44160.669832
8-0.06231-0.48270.68445
90.1036990.80320.212502
100.0579960.44920.327441
110.0792770.61410.270743
120.5711074.42382.1e-05
130.1426491.1050.136795
140.1273110.98610.164011
150.0484170.3750.354478
160.0744850.5770.283064
17-0.047484-0.36780.642845
18-0.2639-2.04420.977333
19-0.087596-0.67850.749972
20-0.140544-1.08860.859669
210.0343030.26570.395688
22-0.052847-0.40930.658129
23-0.023394-0.18120.571594
240.2845092.20380.015693
250.0300550.23280.408353
26-0.032356-0.25060.598521
27-0.086042-0.66650.746169
28-0.038671-0.29950.617221
29-0.121318-0.93970.824437
30-0.255969-1.98270.974009
31-0.158793-1.230.888251
32-0.192213-1.48890.929121
33-0.043866-0.33980.632397
34-0.112209-0.86920.805891
35-0.079588-0.61650.730047
360.1118070.86610.194956
370.0083740.06490.474247
38-0.063782-0.49410.688463
39-0.065438-0.50690.692951
400.0005560.00430.498289
41-0.111999-0.86750.805448
42-0.18509-1.43370.921575
43-0.124442-0.96390.830524
44-0.136358-1.05620.85245
45-0.082241-0.6370.736737
46-0.11858-0.91850.818987
47-0.127672-0.98890.836668
48-0.005767-0.04470.517741
490.0083140.06440.474432
50-0.039909-0.30910.620856
51-0.020313-0.15730.562249
520.0427260.3310.370917
530.0079290.06140.475616
540.0104820.08120.467779
550.0318430.24670.403008
56-0.008337-0.06460.525638
570.0086620.06710.473363
580.0159170.12330.451144
59-0.002239-0.01730.506889

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 7.746 & 0 \tabularnewline
1 & 0.293292 & 2.2718 & 0.013348 \tabularnewline
2 & 0.236097 & 1.8288 & 0.0362 \tabularnewline
3 & 0.201685 & 1.5622 & 0.061745 \tabularnewline
4 & 0.145653 & 1.1282 & 0.131858 \tabularnewline
5 & 0.025573 & 0.1981 & 0.421823 \tabularnewline
6 & -0.254437 & -1.9709 & 0.973321 \tabularnewline
7 & -0.057016 & -0.4416 & 0.669832 \tabularnewline
8 & -0.06231 & -0.4827 & 0.68445 \tabularnewline
9 & 0.103699 & 0.8032 & 0.212502 \tabularnewline
10 & 0.057996 & 0.4492 & 0.327441 \tabularnewline
11 & 0.079277 & 0.6141 & 0.270743 \tabularnewline
12 & 0.571107 & 4.4238 & 2.1e-05 \tabularnewline
13 & 0.142649 & 1.105 & 0.136795 \tabularnewline
14 & 0.127311 & 0.9861 & 0.164011 \tabularnewline
15 & 0.048417 & 0.375 & 0.354478 \tabularnewline
16 & 0.074485 & 0.577 & 0.283064 \tabularnewline
17 & -0.047484 & -0.3678 & 0.642845 \tabularnewline
18 & -0.2639 & -2.0442 & 0.977333 \tabularnewline
19 & -0.087596 & -0.6785 & 0.749972 \tabularnewline
20 & -0.140544 & -1.0886 & 0.859669 \tabularnewline
21 & 0.034303 & 0.2657 & 0.395688 \tabularnewline
22 & -0.052847 & -0.4093 & 0.658129 \tabularnewline
23 & -0.023394 & -0.1812 & 0.571594 \tabularnewline
24 & 0.284509 & 2.2038 & 0.015693 \tabularnewline
25 & 0.030055 & 0.2328 & 0.408353 \tabularnewline
26 & -0.032356 & -0.2506 & 0.598521 \tabularnewline
27 & -0.086042 & -0.6665 & 0.746169 \tabularnewline
28 & -0.038671 & -0.2995 & 0.617221 \tabularnewline
29 & -0.121318 & -0.9397 & 0.824437 \tabularnewline
30 & -0.255969 & -1.9827 & 0.974009 \tabularnewline
31 & -0.158793 & -1.23 & 0.888251 \tabularnewline
32 & -0.192213 & -1.4889 & 0.929121 \tabularnewline
33 & -0.043866 & -0.3398 & 0.632397 \tabularnewline
34 & -0.112209 & -0.8692 & 0.805891 \tabularnewline
35 & -0.079588 & -0.6165 & 0.730047 \tabularnewline
36 & 0.111807 & 0.8661 & 0.194956 \tabularnewline
37 & 0.008374 & 0.0649 & 0.474247 \tabularnewline
38 & -0.063782 & -0.4941 & 0.688463 \tabularnewline
39 & -0.065438 & -0.5069 & 0.692951 \tabularnewline
40 & 0.000556 & 0.0043 & 0.498289 \tabularnewline
41 & -0.111999 & -0.8675 & 0.805448 \tabularnewline
42 & -0.18509 & -1.4337 & 0.921575 \tabularnewline
43 & -0.124442 & -0.9639 & 0.830524 \tabularnewline
44 & -0.136358 & -1.0562 & 0.85245 \tabularnewline
45 & -0.082241 & -0.637 & 0.736737 \tabularnewline
46 & -0.11858 & -0.9185 & 0.818987 \tabularnewline
47 & -0.127672 & -0.9889 & 0.836668 \tabularnewline
48 & -0.005767 & -0.0447 & 0.517741 \tabularnewline
49 & 0.008314 & 0.0644 & 0.474432 \tabularnewline
50 & -0.039909 & -0.3091 & 0.620856 \tabularnewline
51 & -0.020313 & -0.1573 & 0.562249 \tabularnewline
52 & 0.042726 & 0.331 & 0.370917 \tabularnewline
53 & 0.007929 & 0.0614 & 0.475616 \tabularnewline
54 & 0.010482 & 0.0812 & 0.467779 \tabularnewline
55 & 0.031843 & 0.2467 & 0.403008 \tabularnewline
56 & -0.008337 & -0.0646 & 0.525638 \tabularnewline
57 & 0.008662 & 0.0671 & 0.473363 \tabularnewline
58 & 0.015917 & 0.1233 & 0.451144 \tabularnewline
59 & -0.002239 & -0.0173 & 0.506889 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=4473&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]0.293292[/C][C]2.2718[/C][C]0.013348[/C][/ROW]
[ROW][C]2[/C][C]0.236097[/C][C]1.8288[/C][C]0.0362[/C][/ROW]
[ROW][C]3[/C][C]0.201685[/C][C]1.5622[/C][C]0.061745[/C][/ROW]
[ROW][C]4[/C][C]0.145653[/C][C]1.1282[/C][C]0.131858[/C][/ROW]
[ROW][C]5[/C][C]0.025573[/C][C]0.1981[/C][C]0.421823[/C][/ROW]
[ROW][C]6[/C][C]-0.254437[/C][C]-1.9709[/C][C]0.973321[/C][/ROW]
[ROW][C]7[/C][C]-0.057016[/C][C]-0.4416[/C][C]0.669832[/C][/ROW]
[ROW][C]8[/C][C]-0.06231[/C][C]-0.4827[/C][C]0.68445[/C][/ROW]
[ROW][C]9[/C][C]0.103699[/C][C]0.8032[/C][C]0.212502[/C][/ROW]
[ROW][C]10[/C][C]0.057996[/C][C]0.4492[/C][C]0.327441[/C][/ROW]
[ROW][C]11[/C][C]0.079277[/C][C]0.6141[/C][C]0.270743[/C][/ROW]
[ROW][C]12[/C][C]0.571107[/C][C]4.4238[/C][C]2.1e-05[/C][/ROW]
[ROW][C]13[/C][C]0.142649[/C][C]1.105[/C][C]0.136795[/C][/ROW]
[ROW][C]14[/C][C]0.127311[/C][C]0.9861[/C][C]0.164011[/C][/ROW]
[ROW][C]15[/C][C]0.048417[/C][C]0.375[/C][C]0.354478[/C][/ROW]
[ROW][C]16[/C][C]0.074485[/C][C]0.577[/C][C]0.283064[/C][/ROW]
[ROW][C]17[/C][C]-0.047484[/C][C]-0.3678[/C][C]0.642845[/C][/ROW]
[ROW][C]18[/C][C]-0.2639[/C][C]-2.0442[/C][C]0.977333[/C][/ROW]
[ROW][C]19[/C][C]-0.087596[/C][C]-0.6785[/C][C]0.749972[/C][/ROW]
[ROW][C]20[/C][C]-0.140544[/C][C]-1.0886[/C][C]0.859669[/C][/ROW]
[ROW][C]21[/C][C]0.034303[/C][C]0.2657[/C][C]0.395688[/C][/ROW]
[ROW][C]22[/C][C]-0.052847[/C][C]-0.4093[/C][C]0.658129[/C][/ROW]
[ROW][C]23[/C][C]-0.023394[/C][C]-0.1812[/C][C]0.571594[/C][/ROW]
[ROW][C]24[/C][C]0.284509[/C][C]2.2038[/C][C]0.015693[/C][/ROW]
[ROW][C]25[/C][C]0.030055[/C][C]0.2328[/C][C]0.408353[/C][/ROW]
[ROW][C]26[/C][C]-0.032356[/C][C]-0.2506[/C][C]0.598521[/C][/ROW]
[ROW][C]27[/C][C]-0.086042[/C][C]-0.6665[/C][C]0.746169[/C][/ROW]
[ROW][C]28[/C][C]-0.038671[/C][C]-0.2995[/C][C]0.617221[/C][/ROW]
[ROW][C]29[/C][C]-0.121318[/C][C]-0.9397[/C][C]0.824437[/C][/ROW]
[ROW][C]30[/C][C]-0.255969[/C][C]-1.9827[/C][C]0.974009[/C][/ROW]
[ROW][C]31[/C][C]-0.158793[/C][C]-1.23[/C][C]0.888251[/C][/ROW]
[ROW][C]32[/C][C]-0.192213[/C][C]-1.4889[/C][C]0.929121[/C][/ROW]
[ROW][C]33[/C][C]-0.043866[/C][C]-0.3398[/C][C]0.632397[/C][/ROW]
[ROW][C]34[/C][C]-0.112209[/C][C]-0.8692[/C][C]0.805891[/C][/ROW]
[ROW][C]35[/C][C]-0.079588[/C][C]-0.6165[/C][C]0.730047[/C][/ROW]
[ROW][C]36[/C][C]0.111807[/C][C]0.8661[/C][C]0.194956[/C][/ROW]
[ROW][C]37[/C][C]0.008374[/C][C]0.0649[/C][C]0.474247[/C][/ROW]
[ROW][C]38[/C][C]-0.063782[/C][C]-0.4941[/C][C]0.688463[/C][/ROW]
[ROW][C]39[/C][C]-0.065438[/C][C]-0.5069[/C][C]0.692951[/C][/ROW]
[ROW][C]40[/C][C]0.000556[/C][C]0.0043[/C][C]0.498289[/C][/ROW]
[ROW][C]41[/C][C]-0.111999[/C][C]-0.8675[/C][C]0.805448[/C][/ROW]
[ROW][C]42[/C][C]-0.18509[/C][C]-1.4337[/C][C]0.921575[/C][/ROW]
[ROW][C]43[/C][C]-0.124442[/C][C]-0.9639[/C][C]0.830524[/C][/ROW]
[ROW][C]44[/C][C]-0.136358[/C][C]-1.0562[/C][C]0.85245[/C][/ROW]
[ROW][C]45[/C][C]-0.082241[/C][C]-0.637[/C][C]0.736737[/C][/ROW]
[ROW][C]46[/C][C]-0.11858[/C][C]-0.9185[/C][C]0.818987[/C][/ROW]
[ROW][C]47[/C][C]-0.127672[/C][C]-0.9889[/C][C]0.836668[/C][/ROW]
[ROW][C]48[/C][C]-0.005767[/C][C]-0.0447[/C][C]0.517741[/C][/ROW]
[ROW][C]49[/C][C]0.008314[/C][C]0.0644[/C][C]0.474432[/C][/ROW]
[ROW][C]50[/C][C]-0.039909[/C][C]-0.3091[/C][C]0.620856[/C][/ROW]
[ROW][C]51[/C][C]-0.020313[/C][C]-0.1573[/C][C]0.562249[/C][/ROW]
[ROW][C]52[/C][C]0.042726[/C][C]0.331[/C][C]0.370917[/C][/ROW]
[ROW][C]53[/C][C]0.007929[/C][C]0.0614[/C][C]0.475616[/C][/ROW]
[ROW][C]54[/C][C]0.010482[/C][C]0.0812[/C][C]0.467779[/C][/ROW]
[ROW][C]55[/C][C]0.031843[/C][C]0.2467[/C][C]0.403008[/C][/ROW]
[ROW][C]56[/C][C]-0.008337[/C][C]-0.0646[/C][C]0.525638[/C][/ROW]
[ROW][C]57[/C][C]0.008662[/C][C]0.0671[/C][C]0.473363[/C][/ROW]
[ROW][C]58[/C][C]0.015917[/C][C]0.1233[/C][C]0.451144[/C][/ROW]
[ROW][C]59[/C][C]-0.002239[/C][C]-0.0173[/C][C]0.506889[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=4473&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=4473&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
10.2932922.27180.013348
20.2360971.82880.0362
30.2016851.56220.061745
40.1456531.12820.131858
50.0255730.19810.421823
6-0.254437-1.97090.973321
7-0.057016-0.44160.669832
8-0.06231-0.48270.68445
90.1036990.80320.212502
100.0579960.44920.327441
110.0792770.61410.270743
120.5711074.42382.1e-05
130.1426491.1050.136795
140.1273110.98610.164011
150.0484170.3750.354478
160.0744850.5770.283064
17-0.047484-0.36780.642845
18-0.2639-2.04420.977333
19-0.087596-0.67850.749972
20-0.140544-1.08860.859669
210.0343030.26570.395688
22-0.052847-0.40930.658129
23-0.023394-0.18120.571594
240.2845092.20380.015693
250.0300550.23280.408353
26-0.032356-0.25060.598521
27-0.086042-0.66650.746169
28-0.038671-0.29950.617221
29-0.121318-0.93970.824437
30-0.255969-1.98270.974009
31-0.158793-1.230.888251
32-0.192213-1.48890.929121
33-0.043866-0.33980.632397
34-0.112209-0.86920.805891
35-0.079588-0.61650.730047
360.1118070.86610.194956
370.0083740.06490.474247
38-0.063782-0.49410.688463
39-0.065438-0.50690.692951
400.0005560.00430.498289
41-0.111999-0.86750.805448
42-0.18509-1.43370.921575
43-0.124442-0.96390.830524
44-0.136358-1.05620.85245
45-0.082241-0.6370.736737
46-0.11858-0.91850.818987
47-0.127672-0.98890.836668
48-0.005767-0.04470.517741
490.0083140.06440.474432
50-0.039909-0.30910.620856
51-0.020313-0.15730.562249
520.0427260.3310.370917
530.0079290.06140.475616
540.0104820.08120.467779
550.0318430.24670.403008
56-0.008337-0.06460.525638
570.0086620.06710.473363
580.0159170.12330.451144
59-0.002239-0.01730.506889







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
00.2932922.27180.013348
10.1642011.27190.104158
20.1075530.83310.204045
30.0405990.31450.377125
4-0.078297-0.60650.726761
5-0.336234-2.60450.994208
60.0601960.46630.321352
70.0521730.40410.343777
80.2711182.10010.019968
90.0923280.71520.23864
10-0.006848-0.0530.521065
110.5073273.92970.000111
12-0.285463-2.21120.984578
13-0.147159-1.13990.870569
14-0.087108-0.67470.748783
15-0.066632-0.51610.696169
160.0085540.06630.473697
170.0409950.31750.375966
180.0706630.54740.293082
190.0208410.16140.436148
20-0.055982-0.43360.666944
21-0.076025-0.58890.720925
22-0.049075-0.38010.647406
23-0.072248-0.55960.711093
24-0.019388-0.15020.559438
25-0.143799-1.11390.865109
260.0368150.28520.388249
27-0.054143-0.41940.661786
280.0312830.24230.40468
290.059390.460.323577
30-0.10953-0.84840.800211
31-0.05967-0.46220.677195
32-0.101303-0.78470.782138
33-0.064678-0.5010.690895
340.0325190.25190.400993
350.009010.06980.472297
360.0886190.68640.24754
370.0175860.13620.446052
380.0188230.14580.442284
390.0453320.35110.363358
40-0.168626-1.30620.90176
41-0.057256-0.44350.670501
42-0.025002-0.19370.576455
43-0.019451-0.15070.559627
440.0085540.06630.473696
450.0061020.04730.481229
46-0.051643-0.40.654722
47-0.04612-0.35720.638919
480.0087710.06790.47303
490.0878190.68020.249483
500.0013920.01080.495717
51-0.03379-0.26170.602788
520.0420180.32550.372978
530.0750750.58150.28153
540.0739310.57270.284505
55-0.055274-0.42820.664963
560.0338170.26190.39713
570.0137850.10680.45766
580.0341780.26470.396059
59NANANA

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & 0.293292 & 2.2718 & 0.013348 \tabularnewline
1 & 0.164201 & 1.2719 & 0.104158 \tabularnewline
2 & 0.107553 & 0.8331 & 0.204045 \tabularnewline
3 & 0.040599 & 0.3145 & 0.377125 \tabularnewline
4 & -0.078297 & -0.6065 & 0.726761 \tabularnewline
5 & -0.336234 & -2.6045 & 0.994208 \tabularnewline
6 & 0.060196 & 0.4663 & 0.321352 \tabularnewline
7 & 0.052173 & 0.4041 & 0.343777 \tabularnewline
8 & 0.271118 & 2.1001 & 0.019968 \tabularnewline
9 & 0.092328 & 0.7152 & 0.23864 \tabularnewline
10 & -0.006848 & -0.053 & 0.521065 \tabularnewline
11 & 0.507327 & 3.9297 & 0.000111 \tabularnewline
12 & -0.285463 & -2.2112 & 0.984578 \tabularnewline
13 & -0.147159 & -1.1399 & 0.870569 \tabularnewline
14 & -0.087108 & -0.6747 & 0.748783 \tabularnewline
15 & -0.066632 & -0.5161 & 0.696169 \tabularnewline
16 & 0.008554 & 0.0663 & 0.473697 \tabularnewline
17 & 0.040995 & 0.3175 & 0.375966 \tabularnewline
18 & 0.070663 & 0.5474 & 0.293082 \tabularnewline
19 & 0.020841 & 0.1614 & 0.436148 \tabularnewline
20 & -0.055982 & -0.4336 & 0.666944 \tabularnewline
21 & -0.076025 & -0.5889 & 0.720925 \tabularnewline
22 & -0.049075 & -0.3801 & 0.647406 \tabularnewline
23 & -0.072248 & -0.5596 & 0.711093 \tabularnewline
24 & -0.019388 & -0.1502 & 0.559438 \tabularnewline
25 & -0.143799 & -1.1139 & 0.865109 \tabularnewline
26 & 0.036815 & 0.2852 & 0.388249 \tabularnewline
27 & -0.054143 & -0.4194 & 0.661786 \tabularnewline
28 & 0.031283 & 0.2423 & 0.40468 \tabularnewline
29 & 0.05939 & 0.46 & 0.323577 \tabularnewline
30 & -0.10953 & -0.8484 & 0.800211 \tabularnewline
31 & -0.05967 & -0.4622 & 0.677195 \tabularnewline
32 & -0.101303 & -0.7847 & 0.782138 \tabularnewline
33 & -0.064678 & -0.501 & 0.690895 \tabularnewline
34 & 0.032519 & 0.2519 & 0.400993 \tabularnewline
35 & 0.00901 & 0.0698 & 0.472297 \tabularnewline
36 & 0.088619 & 0.6864 & 0.24754 \tabularnewline
37 & 0.017586 & 0.1362 & 0.446052 \tabularnewline
38 & 0.018823 & 0.1458 & 0.442284 \tabularnewline
39 & 0.045332 & 0.3511 & 0.363358 \tabularnewline
40 & -0.168626 & -1.3062 & 0.90176 \tabularnewline
41 & -0.057256 & -0.4435 & 0.670501 \tabularnewline
42 & -0.025002 & -0.1937 & 0.576455 \tabularnewline
43 & -0.019451 & -0.1507 & 0.559627 \tabularnewline
44 & 0.008554 & 0.0663 & 0.473696 \tabularnewline
45 & 0.006102 & 0.0473 & 0.481229 \tabularnewline
46 & -0.051643 & -0.4 & 0.654722 \tabularnewline
47 & -0.04612 & -0.3572 & 0.638919 \tabularnewline
48 & 0.008771 & 0.0679 & 0.47303 \tabularnewline
49 & 0.087819 & 0.6802 & 0.249483 \tabularnewline
50 & 0.001392 & 0.0108 & 0.495717 \tabularnewline
51 & -0.03379 & -0.2617 & 0.602788 \tabularnewline
52 & 0.042018 & 0.3255 & 0.372978 \tabularnewline
53 & 0.075075 & 0.5815 & 0.28153 \tabularnewline
54 & 0.073931 & 0.5727 & 0.284505 \tabularnewline
55 & -0.055274 & -0.4282 & 0.664963 \tabularnewline
56 & 0.033817 & 0.2619 & 0.39713 \tabularnewline
57 & 0.013785 & 0.1068 & 0.45766 \tabularnewline
58 & 0.034178 & 0.2647 & 0.396059 \tabularnewline
59 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=4473&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]0.293292[/C][C]2.2718[/C][C]0.013348[/C][/ROW]
[ROW][C]1[/C][C]0.164201[/C][C]1.2719[/C][C]0.104158[/C][/ROW]
[ROW][C]2[/C][C]0.107553[/C][C]0.8331[/C][C]0.204045[/C][/ROW]
[ROW][C]3[/C][C]0.040599[/C][C]0.3145[/C][C]0.377125[/C][/ROW]
[ROW][C]4[/C][C]-0.078297[/C][C]-0.6065[/C][C]0.726761[/C][/ROW]
[ROW][C]5[/C][C]-0.336234[/C][C]-2.6045[/C][C]0.994208[/C][/ROW]
[ROW][C]6[/C][C]0.060196[/C][C]0.4663[/C][C]0.321352[/C][/ROW]
[ROW][C]7[/C][C]0.052173[/C][C]0.4041[/C][C]0.343777[/C][/ROW]
[ROW][C]8[/C][C]0.271118[/C][C]2.1001[/C][C]0.019968[/C][/ROW]
[ROW][C]9[/C][C]0.092328[/C][C]0.7152[/C][C]0.23864[/C][/ROW]
[ROW][C]10[/C][C]-0.006848[/C][C]-0.053[/C][C]0.521065[/C][/ROW]
[ROW][C]11[/C][C]0.507327[/C][C]3.9297[/C][C]0.000111[/C][/ROW]
[ROW][C]12[/C][C]-0.285463[/C][C]-2.2112[/C][C]0.984578[/C][/ROW]
[ROW][C]13[/C][C]-0.147159[/C][C]-1.1399[/C][C]0.870569[/C][/ROW]
[ROW][C]14[/C][C]-0.087108[/C][C]-0.6747[/C][C]0.748783[/C][/ROW]
[ROW][C]15[/C][C]-0.066632[/C][C]-0.5161[/C][C]0.696169[/C][/ROW]
[ROW][C]16[/C][C]0.008554[/C][C]0.0663[/C][C]0.473697[/C][/ROW]
[ROW][C]17[/C][C]0.040995[/C][C]0.3175[/C][C]0.375966[/C][/ROW]
[ROW][C]18[/C][C]0.070663[/C][C]0.5474[/C][C]0.293082[/C][/ROW]
[ROW][C]19[/C][C]0.020841[/C][C]0.1614[/C][C]0.436148[/C][/ROW]
[ROW][C]20[/C][C]-0.055982[/C][C]-0.4336[/C][C]0.666944[/C][/ROW]
[ROW][C]21[/C][C]-0.076025[/C][C]-0.5889[/C][C]0.720925[/C][/ROW]
[ROW][C]22[/C][C]-0.049075[/C][C]-0.3801[/C][C]0.647406[/C][/ROW]
[ROW][C]23[/C][C]-0.072248[/C][C]-0.5596[/C][C]0.711093[/C][/ROW]
[ROW][C]24[/C][C]-0.019388[/C][C]-0.1502[/C][C]0.559438[/C][/ROW]
[ROW][C]25[/C][C]-0.143799[/C][C]-1.1139[/C][C]0.865109[/C][/ROW]
[ROW][C]26[/C][C]0.036815[/C][C]0.2852[/C][C]0.388249[/C][/ROW]
[ROW][C]27[/C][C]-0.054143[/C][C]-0.4194[/C][C]0.661786[/C][/ROW]
[ROW][C]28[/C][C]0.031283[/C][C]0.2423[/C][C]0.40468[/C][/ROW]
[ROW][C]29[/C][C]0.05939[/C][C]0.46[/C][C]0.323577[/C][/ROW]
[ROW][C]30[/C][C]-0.10953[/C][C]-0.8484[/C][C]0.800211[/C][/ROW]
[ROW][C]31[/C][C]-0.05967[/C][C]-0.4622[/C][C]0.677195[/C][/ROW]
[ROW][C]32[/C][C]-0.101303[/C][C]-0.7847[/C][C]0.782138[/C][/ROW]
[ROW][C]33[/C][C]-0.064678[/C][C]-0.501[/C][C]0.690895[/C][/ROW]
[ROW][C]34[/C][C]0.032519[/C][C]0.2519[/C][C]0.400993[/C][/ROW]
[ROW][C]35[/C][C]0.00901[/C][C]0.0698[/C][C]0.472297[/C][/ROW]
[ROW][C]36[/C][C]0.088619[/C][C]0.6864[/C][C]0.24754[/C][/ROW]
[ROW][C]37[/C][C]0.017586[/C][C]0.1362[/C][C]0.446052[/C][/ROW]
[ROW][C]38[/C][C]0.018823[/C][C]0.1458[/C][C]0.442284[/C][/ROW]
[ROW][C]39[/C][C]0.045332[/C][C]0.3511[/C][C]0.363358[/C][/ROW]
[ROW][C]40[/C][C]-0.168626[/C][C]-1.3062[/C][C]0.90176[/C][/ROW]
[ROW][C]41[/C][C]-0.057256[/C][C]-0.4435[/C][C]0.670501[/C][/ROW]
[ROW][C]42[/C][C]-0.025002[/C][C]-0.1937[/C][C]0.576455[/C][/ROW]
[ROW][C]43[/C][C]-0.019451[/C][C]-0.1507[/C][C]0.559627[/C][/ROW]
[ROW][C]44[/C][C]0.008554[/C][C]0.0663[/C][C]0.473696[/C][/ROW]
[ROW][C]45[/C][C]0.006102[/C][C]0.0473[/C][C]0.481229[/C][/ROW]
[ROW][C]46[/C][C]-0.051643[/C][C]-0.4[/C][C]0.654722[/C][/ROW]
[ROW][C]47[/C][C]-0.04612[/C][C]-0.3572[/C][C]0.638919[/C][/ROW]
[ROW][C]48[/C][C]0.008771[/C][C]0.0679[/C][C]0.47303[/C][/ROW]
[ROW][C]49[/C][C]0.087819[/C][C]0.6802[/C][C]0.249483[/C][/ROW]
[ROW][C]50[/C][C]0.001392[/C][C]0.0108[/C][C]0.495717[/C][/ROW]
[ROW][C]51[/C][C]-0.03379[/C][C]-0.2617[/C][C]0.602788[/C][/ROW]
[ROW][C]52[/C][C]0.042018[/C][C]0.3255[/C][C]0.372978[/C][/ROW]
[ROW][C]53[/C][C]0.075075[/C][C]0.5815[/C][C]0.28153[/C][/ROW]
[ROW][C]54[/C][C]0.073931[/C][C]0.5727[/C][C]0.284505[/C][/ROW]
[ROW][C]55[/C][C]-0.055274[/C][C]-0.4282[/C][C]0.664963[/C][/ROW]
[ROW][C]56[/C][C]0.033817[/C][C]0.2619[/C][C]0.39713[/C][/ROW]
[ROW][C]57[/C][C]0.013785[/C][C]0.1068[/C][C]0.45766[/C][/ROW]
[ROW][C]58[/C][C]0.034178[/C][C]0.2647[/C][C]0.396059[/C][/ROW]
[ROW][C]59[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=4473&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=4473&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
00.2932922.27180.013348
10.1642011.27190.104158
20.1075530.83310.204045
30.0405990.31450.377125
4-0.078297-0.60650.726761
5-0.336234-2.60450.994208
60.0601960.46630.321352
70.0521730.40410.343777
80.2711182.10010.019968
90.0923280.71520.23864
10-0.006848-0.0530.521065
110.5073273.92970.000111
12-0.285463-2.21120.984578
13-0.147159-1.13990.870569
14-0.087108-0.67470.748783
15-0.066632-0.51610.696169
160.0085540.06630.473697
170.0409950.31750.375966
180.0706630.54740.293082
190.0208410.16140.436148
20-0.055982-0.43360.666944
21-0.076025-0.58890.720925
22-0.049075-0.38010.647406
23-0.072248-0.55960.711093
24-0.019388-0.15020.559438
25-0.143799-1.11390.865109
260.0368150.28520.388249
27-0.054143-0.41940.661786
280.0312830.24230.40468
290.059390.460.323577
30-0.10953-0.84840.800211
31-0.05967-0.46220.677195
32-0.101303-0.78470.782138
33-0.064678-0.5010.690895
340.0325190.25190.400993
350.009010.06980.472297
360.0886190.68640.24754
370.0175860.13620.446052
380.0188230.14580.442284
390.0453320.35110.363358
40-0.168626-1.30620.90176
41-0.057256-0.44350.670501
42-0.025002-0.19370.576455
43-0.019451-0.15070.559627
440.0085540.06630.473696
450.0061020.04730.481229
46-0.051643-0.40.654722
47-0.04612-0.35720.638919
480.0087710.06790.47303
490.0878190.68020.249483
500.0013920.01080.495717
51-0.03379-0.26170.602788
520.0420180.32550.372978
530.0750750.58150.28153
540.0739310.57270.284505
55-0.055274-0.42820.664963
560.0338170.26190.39713
570.0137850.10680.45766
580.0341780.26470.396059
59NANANA



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 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')