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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 computationFri, 12 Dec 2008 07:52:48 -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/12/t1229093609odxoqq5ncyg8fpj.htm/, Retrieved Fri, 17 May 2024 16:18:23 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=32813, Retrieved Fri, 17 May 2024 16:18:23 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact128
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [pafc boven de 25 ...] [2008-12-12 14:52:48] [f24298b2e4c2a19d76cf4460ec5d2246] [Current]
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Dataseries X:
7,0
6,9
6,7
6,6
6,5
6,4
6,5
6,5
6,6
6,7
6,8
7,2
7,6
7,6
7,3
6,4
6,1
6,3
7,1
7,5
7,4
7,1
6,8
6,9
7,2
7,4
7,3
6,9
6,9
6,8
7,1
7,2
7,1
7,0
6,9
7,0
7,4
7,5
7,5
7,4
7,3
7,0
6,7
6,5
6,5
6,5
6,6
6,8
6,9
6,9
6,8
6,8
6,5
6,1
6,0
5,9
5,8
5,9
5,9
6,2
6,3
6,2
6,0
5,8
5,5
5,5
5,7
5,8




Summary of computational 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 computational 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=32813&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]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=32813&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=32813&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 time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.5022344.1115.5e-05
2-0.118078-0.96650.168633
3-0.562876-4.60739e-06
4-0.488637-3.99978e-05
5-0.067217-0.55020.292007
60.2157561.7660.040972
70.1736081.4210.079971
8-0.069959-0.57260.284404
9-0.251898-2.06190.021551
10-0.067357-0.55130.291617
110.2004241.64050.05279
120.3815683.12330.001321
130.1843621.50910.067991
14-0.041511-0.33980.367541
15-0.225839-1.84860.034466
16-0.220731-1.80680.037645
17-0.071651-0.58650.279758
180.0876940.71780.237687
190.1183340.96860.168113
200.0107140.08770.465191
21-0.068949-0.56440.287194
22-0.065632-0.53720.296447
23-0.03865-0.31640.376355
240.0074440.06090.475798
250.0198680.16260.43565
260.0665960.54510.293742
270.0671510.54970.292192
280.0350060.28650.387675
290.0408240.33420.369652
300.0043870.03590.485731
31-0.059113-0.48390.315032
32-0.130563-1.06870.14452
33-0.125641-1.02840.153726
34-0.112321-0.91940.180596
35-0.014865-0.12170.451761
360.0587390.48080.316112
370.0902750.73890.231263
380.0738460.60450.273792
390.0346460.28360.388798
400.0450180.36850.356836
410.0705820.57770.28269
420.0122710.10040.460148
43-0.072841-0.59620.276515
44-0.201813-1.65190.051616
45-0.169829-1.39010.084548
46-0.066475-0.54410.294082
470.0939520.7690.222288
480.1914091.56670.060943
490.1395181.1420.128759
500.0137570.11260.455341
51-0.054745-0.44810.327762
52-0.079648-0.65190.258334
53-0.03389-0.27740.391163
540.0053360.04370.482647
550.0057030.04670.481452
56-0.005724-0.04690.481383
57-0.008044-0.06580.473848
58-0.00107-0.00880.49652
590.0195670.16020.436618
600.0260930.21360.41576

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.502234 & 4.111 & 5.5e-05 \tabularnewline
2 & -0.118078 & -0.9665 & 0.168633 \tabularnewline
3 & -0.562876 & -4.6073 & 9e-06 \tabularnewline
4 & -0.488637 & -3.9997 & 8e-05 \tabularnewline
5 & -0.067217 & -0.5502 & 0.292007 \tabularnewline
6 & 0.215756 & 1.766 & 0.040972 \tabularnewline
7 & 0.173608 & 1.421 & 0.079971 \tabularnewline
8 & -0.069959 & -0.5726 & 0.284404 \tabularnewline
9 & -0.251898 & -2.0619 & 0.021551 \tabularnewline
10 & -0.067357 & -0.5513 & 0.291617 \tabularnewline
11 & 0.200424 & 1.6405 & 0.05279 \tabularnewline
12 & 0.381568 & 3.1233 & 0.001321 \tabularnewline
13 & 0.184362 & 1.5091 & 0.067991 \tabularnewline
14 & -0.041511 & -0.3398 & 0.367541 \tabularnewline
15 & -0.225839 & -1.8486 & 0.034466 \tabularnewline
16 & -0.220731 & -1.8068 & 0.037645 \tabularnewline
17 & -0.071651 & -0.5865 & 0.279758 \tabularnewline
18 & 0.087694 & 0.7178 & 0.237687 \tabularnewline
19 & 0.118334 & 0.9686 & 0.168113 \tabularnewline
20 & 0.010714 & 0.0877 & 0.465191 \tabularnewline
21 & -0.068949 & -0.5644 & 0.287194 \tabularnewline
22 & -0.065632 & -0.5372 & 0.296447 \tabularnewline
23 & -0.03865 & -0.3164 & 0.376355 \tabularnewline
24 & 0.007444 & 0.0609 & 0.475798 \tabularnewline
25 & 0.019868 & 0.1626 & 0.43565 \tabularnewline
26 & 0.066596 & 0.5451 & 0.293742 \tabularnewline
27 & 0.067151 & 0.5497 & 0.292192 \tabularnewline
28 & 0.035006 & 0.2865 & 0.387675 \tabularnewline
29 & 0.040824 & 0.3342 & 0.369652 \tabularnewline
30 & 0.004387 & 0.0359 & 0.485731 \tabularnewline
31 & -0.059113 & -0.4839 & 0.315032 \tabularnewline
32 & -0.130563 & -1.0687 & 0.14452 \tabularnewline
33 & -0.125641 & -1.0284 & 0.153726 \tabularnewline
34 & -0.112321 & -0.9194 & 0.180596 \tabularnewline
35 & -0.014865 & -0.1217 & 0.451761 \tabularnewline
36 & 0.058739 & 0.4808 & 0.316112 \tabularnewline
37 & 0.090275 & 0.7389 & 0.231263 \tabularnewline
38 & 0.073846 & 0.6045 & 0.273792 \tabularnewline
39 & 0.034646 & 0.2836 & 0.388798 \tabularnewline
40 & 0.045018 & 0.3685 & 0.356836 \tabularnewline
41 & 0.070582 & 0.5777 & 0.28269 \tabularnewline
42 & 0.012271 & 0.1004 & 0.460148 \tabularnewline
43 & -0.072841 & -0.5962 & 0.276515 \tabularnewline
44 & -0.201813 & -1.6519 & 0.051616 \tabularnewline
45 & -0.169829 & -1.3901 & 0.084548 \tabularnewline
46 & -0.066475 & -0.5441 & 0.294082 \tabularnewline
47 & 0.093952 & 0.769 & 0.222288 \tabularnewline
48 & 0.191409 & 1.5667 & 0.060943 \tabularnewline
49 & 0.139518 & 1.142 & 0.128759 \tabularnewline
50 & 0.013757 & 0.1126 & 0.455341 \tabularnewline
51 & -0.054745 & -0.4481 & 0.327762 \tabularnewline
52 & -0.079648 & -0.6519 & 0.258334 \tabularnewline
53 & -0.03389 & -0.2774 & 0.391163 \tabularnewline
54 & 0.005336 & 0.0437 & 0.482647 \tabularnewline
55 & 0.005703 & 0.0467 & 0.481452 \tabularnewline
56 & -0.005724 & -0.0469 & 0.481383 \tabularnewline
57 & -0.008044 & -0.0658 & 0.473848 \tabularnewline
58 & -0.00107 & -0.0088 & 0.49652 \tabularnewline
59 & 0.019567 & 0.1602 & 0.436618 \tabularnewline
60 & 0.026093 & 0.2136 & 0.41576 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=32813&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]0.502234[/C][C]4.111[/C][C]5.5e-05[/C][/ROW]
[ROW][C]2[/C][C]-0.118078[/C][C]-0.9665[/C][C]0.168633[/C][/ROW]
[ROW][C]3[/C][C]-0.562876[/C][C]-4.6073[/C][C]9e-06[/C][/ROW]
[ROW][C]4[/C][C]-0.488637[/C][C]-3.9997[/C][C]8e-05[/C][/ROW]
[ROW][C]5[/C][C]-0.067217[/C][C]-0.5502[/C][C]0.292007[/C][/ROW]
[ROW][C]6[/C][C]0.215756[/C][C]1.766[/C][C]0.040972[/C][/ROW]
[ROW][C]7[/C][C]0.173608[/C][C]1.421[/C][C]0.079971[/C][/ROW]
[ROW][C]8[/C][C]-0.069959[/C][C]-0.5726[/C][C]0.284404[/C][/ROW]
[ROW][C]9[/C][C]-0.251898[/C][C]-2.0619[/C][C]0.021551[/C][/ROW]
[ROW][C]10[/C][C]-0.067357[/C][C]-0.5513[/C][C]0.291617[/C][/ROW]
[ROW][C]11[/C][C]0.200424[/C][C]1.6405[/C][C]0.05279[/C][/ROW]
[ROW][C]12[/C][C]0.381568[/C][C]3.1233[/C][C]0.001321[/C][/ROW]
[ROW][C]13[/C][C]0.184362[/C][C]1.5091[/C][C]0.067991[/C][/ROW]
[ROW][C]14[/C][C]-0.041511[/C][C]-0.3398[/C][C]0.367541[/C][/ROW]
[ROW][C]15[/C][C]-0.225839[/C][C]-1.8486[/C][C]0.034466[/C][/ROW]
[ROW][C]16[/C][C]-0.220731[/C][C]-1.8068[/C][C]0.037645[/C][/ROW]
[ROW][C]17[/C][C]-0.071651[/C][C]-0.5865[/C][C]0.279758[/C][/ROW]
[ROW][C]18[/C][C]0.087694[/C][C]0.7178[/C][C]0.237687[/C][/ROW]
[ROW][C]19[/C][C]0.118334[/C][C]0.9686[/C][C]0.168113[/C][/ROW]
[ROW][C]20[/C][C]0.010714[/C][C]0.0877[/C][C]0.465191[/C][/ROW]
[ROW][C]21[/C][C]-0.068949[/C][C]-0.5644[/C][C]0.287194[/C][/ROW]
[ROW][C]22[/C][C]-0.065632[/C][C]-0.5372[/C][C]0.296447[/C][/ROW]
[ROW][C]23[/C][C]-0.03865[/C][C]-0.3164[/C][C]0.376355[/C][/ROW]
[ROW][C]24[/C][C]0.007444[/C][C]0.0609[/C][C]0.475798[/C][/ROW]
[ROW][C]25[/C][C]0.019868[/C][C]0.1626[/C][C]0.43565[/C][/ROW]
[ROW][C]26[/C][C]0.066596[/C][C]0.5451[/C][C]0.293742[/C][/ROW]
[ROW][C]27[/C][C]0.067151[/C][C]0.5497[/C][C]0.292192[/C][/ROW]
[ROW][C]28[/C][C]0.035006[/C][C]0.2865[/C][C]0.387675[/C][/ROW]
[ROW][C]29[/C][C]0.040824[/C][C]0.3342[/C][C]0.369652[/C][/ROW]
[ROW][C]30[/C][C]0.004387[/C][C]0.0359[/C][C]0.485731[/C][/ROW]
[ROW][C]31[/C][C]-0.059113[/C][C]-0.4839[/C][C]0.315032[/C][/ROW]
[ROW][C]32[/C][C]-0.130563[/C][C]-1.0687[/C][C]0.14452[/C][/ROW]
[ROW][C]33[/C][C]-0.125641[/C][C]-1.0284[/C][C]0.153726[/C][/ROW]
[ROW][C]34[/C][C]-0.112321[/C][C]-0.9194[/C][C]0.180596[/C][/ROW]
[ROW][C]35[/C][C]-0.014865[/C][C]-0.1217[/C][C]0.451761[/C][/ROW]
[ROW][C]36[/C][C]0.058739[/C][C]0.4808[/C][C]0.316112[/C][/ROW]
[ROW][C]37[/C][C]0.090275[/C][C]0.7389[/C][C]0.231263[/C][/ROW]
[ROW][C]38[/C][C]0.073846[/C][C]0.6045[/C][C]0.273792[/C][/ROW]
[ROW][C]39[/C][C]0.034646[/C][C]0.2836[/C][C]0.388798[/C][/ROW]
[ROW][C]40[/C][C]0.045018[/C][C]0.3685[/C][C]0.356836[/C][/ROW]
[ROW][C]41[/C][C]0.070582[/C][C]0.5777[/C][C]0.28269[/C][/ROW]
[ROW][C]42[/C][C]0.012271[/C][C]0.1004[/C][C]0.460148[/C][/ROW]
[ROW][C]43[/C][C]-0.072841[/C][C]-0.5962[/C][C]0.276515[/C][/ROW]
[ROW][C]44[/C][C]-0.201813[/C][C]-1.6519[/C][C]0.051616[/C][/ROW]
[ROW][C]45[/C][C]-0.169829[/C][C]-1.3901[/C][C]0.084548[/C][/ROW]
[ROW][C]46[/C][C]-0.066475[/C][C]-0.5441[/C][C]0.294082[/C][/ROW]
[ROW][C]47[/C][C]0.093952[/C][C]0.769[/C][C]0.222288[/C][/ROW]
[ROW][C]48[/C][C]0.191409[/C][C]1.5667[/C][C]0.060943[/C][/ROW]
[ROW][C]49[/C][C]0.139518[/C][C]1.142[/C][C]0.128759[/C][/ROW]
[ROW][C]50[/C][C]0.013757[/C][C]0.1126[/C][C]0.455341[/C][/ROW]
[ROW][C]51[/C][C]-0.054745[/C][C]-0.4481[/C][C]0.327762[/C][/ROW]
[ROW][C]52[/C][C]-0.079648[/C][C]-0.6519[/C][C]0.258334[/C][/ROW]
[ROW][C]53[/C][C]-0.03389[/C][C]-0.2774[/C][C]0.391163[/C][/ROW]
[ROW][C]54[/C][C]0.005336[/C][C]0.0437[/C][C]0.482647[/C][/ROW]
[ROW][C]55[/C][C]0.005703[/C][C]0.0467[/C][C]0.481452[/C][/ROW]
[ROW][C]56[/C][C]-0.005724[/C][C]-0.0469[/C][C]0.481383[/C][/ROW]
[ROW][C]57[/C][C]-0.008044[/C][C]-0.0658[/C][C]0.473848[/C][/ROW]
[ROW][C]58[/C][C]-0.00107[/C][C]-0.0088[/C][C]0.49652[/C][/ROW]
[ROW][C]59[/C][C]0.019567[/C][C]0.1602[/C][C]0.436618[/C][/ROW]
[ROW][C]60[/C][C]0.026093[/C][C]0.2136[/C][C]0.41576[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=32813&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=32813&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
10.5022344.1115.5e-05
2-0.118078-0.96650.168633
3-0.562876-4.60739e-06
4-0.488637-3.99978e-05
5-0.067217-0.55020.292007
60.2157561.7660.040972
70.1736081.4210.079971
8-0.069959-0.57260.284404
9-0.251898-2.06190.021551
10-0.067357-0.55130.291617
110.2004241.64050.05279
120.3815683.12330.001321
130.1843621.50910.067991
14-0.041511-0.33980.367541
15-0.225839-1.84860.034466
16-0.220731-1.80680.037645
17-0.071651-0.58650.279758
180.0876940.71780.237687
190.1183340.96860.168113
200.0107140.08770.465191
21-0.068949-0.56440.287194
22-0.065632-0.53720.296447
23-0.03865-0.31640.376355
240.0074440.06090.475798
250.0198680.16260.43565
260.0665960.54510.293742
270.0671510.54970.292192
280.0350060.28650.387675
290.0408240.33420.369652
300.0043870.03590.485731
31-0.059113-0.48390.315032
32-0.130563-1.06870.14452
33-0.125641-1.02840.153726
34-0.112321-0.91940.180596
35-0.014865-0.12170.451761
360.0587390.48080.316112
370.0902750.73890.231263
380.0738460.60450.273792
390.0346460.28360.388798
400.0450180.36850.356836
410.0705820.57770.28269
420.0122710.10040.460148
43-0.072841-0.59620.276515
44-0.201813-1.65190.051616
45-0.169829-1.39010.084548
46-0.066475-0.54410.294082
470.0939520.7690.222288
480.1914091.56670.060943
490.1395181.1420.128759
500.0137570.11260.455341
51-0.054745-0.44810.327762
52-0.079648-0.65190.258334
53-0.03389-0.27740.391163
540.0053360.04370.482647
550.0057030.04670.481452
56-0.005724-0.04690.481383
57-0.008044-0.06580.473848
58-0.00107-0.00880.49652
590.0195670.16020.436618
600.0260930.21360.41576







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.5022344.1115.5e-05
2-0.495234-4.05376.7e-05
3-0.399529-3.27030.000849
40.0006230.00510.497973
50.0966340.7910.215871
6-0.197378-1.61560.055439
7-0.238561-1.95270.027517
8-0.130937-1.07180.143835
9-0.140105-1.14680.127771
100.148061.21190.114899
11-0.001644-0.01350.494652
120.0860550.70440.241816
13-0.107087-0.87650.191933
140.2775992.27220.013143
150.0377820.30930.379044
16-0.070685-0.57860.282407
170.0131270.10750.457376
180.1693421.38610.085153
190.0514070.42080.337631
20-0.126442-1.0350.152201
210.0966380.7910.215863
22-0.06748-0.55230.291273
23-0.117832-0.96450.169133
24-0.155148-1.26990.104249
25-0.009618-0.07870.468743
26-0.034704-0.28410.388617
27-0.005296-0.04340.482775
28-0.033013-0.27020.393909
290.0989270.80970.210476
300.0352560.28860.386896
31-0.046659-0.38190.351864
32-0.067998-0.55660.289832
33-0.032326-0.26460.396064
34-0.12071-0.98810.16334
350.0568230.46510.321678
36-0.085898-0.70310.242214
37-0.166406-1.36210.088865
38-0.045522-0.37260.355305
390.0331120.2710.393598
40-0.004991-0.04090.483768
41-0.086777-0.71030.239992
420.0154440.12640.44989
430.0203930.16690.433968
44-0.122109-0.99950.160573
450.0167190.13680.445781
460.0663720.54330.294371
47-0.058031-0.4750.318165
480.0356270.29160.38574
490.0849310.69520.24467
500.0006970.00570.497733
510.0242080.19810.421765
52-0.05132-0.42010.33789
53-0.06367-0.52120.301987
540.0109980.090.46427
55-0.032449-0.26560.395679
560.0372230.30470.380776
57-0.044342-0.3630.358891
58-0.002699-0.02210.491221
59-0.017441-0.14280.443454
600.0550990.4510.326721

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.502234 & 4.111 & 5.5e-05 \tabularnewline
2 & -0.495234 & -4.0537 & 6.7e-05 \tabularnewline
3 & -0.399529 & -3.2703 & 0.000849 \tabularnewline
4 & 0.000623 & 0.0051 & 0.497973 \tabularnewline
5 & 0.096634 & 0.791 & 0.215871 \tabularnewline
6 & -0.197378 & -1.6156 & 0.055439 \tabularnewline
7 & -0.238561 & -1.9527 & 0.027517 \tabularnewline
8 & -0.130937 & -1.0718 & 0.143835 \tabularnewline
9 & -0.140105 & -1.1468 & 0.127771 \tabularnewline
10 & 0.14806 & 1.2119 & 0.114899 \tabularnewline
11 & -0.001644 & -0.0135 & 0.494652 \tabularnewline
12 & 0.086055 & 0.7044 & 0.241816 \tabularnewline
13 & -0.107087 & -0.8765 & 0.191933 \tabularnewline
14 & 0.277599 & 2.2722 & 0.013143 \tabularnewline
15 & 0.037782 & 0.3093 & 0.379044 \tabularnewline
16 & -0.070685 & -0.5786 & 0.282407 \tabularnewline
17 & 0.013127 & 0.1075 & 0.457376 \tabularnewline
18 & 0.169342 & 1.3861 & 0.085153 \tabularnewline
19 & 0.051407 & 0.4208 & 0.337631 \tabularnewline
20 & -0.126442 & -1.035 & 0.152201 \tabularnewline
21 & 0.096638 & 0.791 & 0.215863 \tabularnewline
22 & -0.06748 & -0.5523 & 0.291273 \tabularnewline
23 & -0.117832 & -0.9645 & 0.169133 \tabularnewline
24 & -0.155148 & -1.2699 & 0.104249 \tabularnewline
25 & -0.009618 & -0.0787 & 0.468743 \tabularnewline
26 & -0.034704 & -0.2841 & 0.388617 \tabularnewline
27 & -0.005296 & -0.0434 & 0.482775 \tabularnewline
28 & -0.033013 & -0.2702 & 0.393909 \tabularnewline
29 & 0.098927 & 0.8097 & 0.210476 \tabularnewline
30 & 0.035256 & 0.2886 & 0.386896 \tabularnewline
31 & -0.046659 & -0.3819 & 0.351864 \tabularnewline
32 & -0.067998 & -0.5566 & 0.289832 \tabularnewline
33 & -0.032326 & -0.2646 & 0.396064 \tabularnewline
34 & -0.12071 & -0.9881 & 0.16334 \tabularnewline
35 & 0.056823 & 0.4651 & 0.321678 \tabularnewline
36 & -0.085898 & -0.7031 & 0.242214 \tabularnewline
37 & -0.166406 & -1.3621 & 0.088865 \tabularnewline
38 & -0.045522 & -0.3726 & 0.355305 \tabularnewline
39 & 0.033112 & 0.271 & 0.393598 \tabularnewline
40 & -0.004991 & -0.0409 & 0.483768 \tabularnewline
41 & -0.086777 & -0.7103 & 0.239992 \tabularnewline
42 & 0.015444 & 0.1264 & 0.44989 \tabularnewline
43 & 0.020393 & 0.1669 & 0.433968 \tabularnewline
44 & -0.122109 & -0.9995 & 0.160573 \tabularnewline
45 & 0.016719 & 0.1368 & 0.445781 \tabularnewline
46 & 0.066372 & 0.5433 & 0.294371 \tabularnewline
47 & -0.058031 & -0.475 & 0.318165 \tabularnewline
48 & 0.035627 & 0.2916 & 0.38574 \tabularnewline
49 & 0.084931 & 0.6952 & 0.24467 \tabularnewline
50 & 0.000697 & 0.0057 & 0.497733 \tabularnewline
51 & 0.024208 & 0.1981 & 0.421765 \tabularnewline
52 & -0.05132 & -0.4201 & 0.33789 \tabularnewline
53 & -0.06367 & -0.5212 & 0.301987 \tabularnewline
54 & 0.010998 & 0.09 & 0.46427 \tabularnewline
55 & -0.032449 & -0.2656 & 0.395679 \tabularnewline
56 & 0.037223 & 0.3047 & 0.380776 \tabularnewline
57 & -0.044342 & -0.363 & 0.358891 \tabularnewline
58 & -0.002699 & -0.0221 & 0.491221 \tabularnewline
59 & -0.017441 & -0.1428 & 0.443454 \tabularnewline
60 & 0.055099 & 0.451 & 0.326721 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=32813&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]0.502234[/C][C]4.111[/C][C]5.5e-05[/C][/ROW]
[ROW][C]2[/C][C]-0.495234[/C][C]-4.0537[/C][C]6.7e-05[/C][/ROW]
[ROW][C]3[/C][C]-0.399529[/C][C]-3.2703[/C][C]0.000849[/C][/ROW]
[ROW][C]4[/C][C]0.000623[/C][C]0.0051[/C][C]0.497973[/C][/ROW]
[ROW][C]5[/C][C]0.096634[/C][C]0.791[/C][C]0.215871[/C][/ROW]
[ROW][C]6[/C][C]-0.197378[/C][C]-1.6156[/C][C]0.055439[/C][/ROW]
[ROW][C]7[/C][C]-0.238561[/C][C]-1.9527[/C][C]0.027517[/C][/ROW]
[ROW][C]8[/C][C]-0.130937[/C][C]-1.0718[/C][C]0.143835[/C][/ROW]
[ROW][C]9[/C][C]-0.140105[/C][C]-1.1468[/C][C]0.127771[/C][/ROW]
[ROW][C]10[/C][C]0.14806[/C][C]1.2119[/C][C]0.114899[/C][/ROW]
[ROW][C]11[/C][C]-0.001644[/C][C]-0.0135[/C][C]0.494652[/C][/ROW]
[ROW][C]12[/C][C]0.086055[/C][C]0.7044[/C][C]0.241816[/C][/ROW]
[ROW][C]13[/C][C]-0.107087[/C][C]-0.8765[/C][C]0.191933[/C][/ROW]
[ROW][C]14[/C][C]0.277599[/C][C]2.2722[/C][C]0.013143[/C][/ROW]
[ROW][C]15[/C][C]0.037782[/C][C]0.3093[/C][C]0.379044[/C][/ROW]
[ROW][C]16[/C][C]-0.070685[/C][C]-0.5786[/C][C]0.282407[/C][/ROW]
[ROW][C]17[/C][C]0.013127[/C][C]0.1075[/C][C]0.457376[/C][/ROW]
[ROW][C]18[/C][C]0.169342[/C][C]1.3861[/C][C]0.085153[/C][/ROW]
[ROW][C]19[/C][C]0.051407[/C][C]0.4208[/C][C]0.337631[/C][/ROW]
[ROW][C]20[/C][C]-0.126442[/C][C]-1.035[/C][C]0.152201[/C][/ROW]
[ROW][C]21[/C][C]0.096638[/C][C]0.791[/C][C]0.215863[/C][/ROW]
[ROW][C]22[/C][C]-0.06748[/C][C]-0.5523[/C][C]0.291273[/C][/ROW]
[ROW][C]23[/C][C]-0.117832[/C][C]-0.9645[/C][C]0.169133[/C][/ROW]
[ROW][C]24[/C][C]-0.155148[/C][C]-1.2699[/C][C]0.104249[/C][/ROW]
[ROW][C]25[/C][C]-0.009618[/C][C]-0.0787[/C][C]0.468743[/C][/ROW]
[ROW][C]26[/C][C]-0.034704[/C][C]-0.2841[/C][C]0.388617[/C][/ROW]
[ROW][C]27[/C][C]-0.005296[/C][C]-0.0434[/C][C]0.482775[/C][/ROW]
[ROW][C]28[/C][C]-0.033013[/C][C]-0.2702[/C][C]0.393909[/C][/ROW]
[ROW][C]29[/C][C]0.098927[/C][C]0.8097[/C][C]0.210476[/C][/ROW]
[ROW][C]30[/C][C]0.035256[/C][C]0.2886[/C][C]0.386896[/C][/ROW]
[ROW][C]31[/C][C]-0.046659[/C][C]-0.3819[/C][C]0.351864[/C][/ROW]
[ROW][C]32[/C][C]-0.067998[/C][C]-0.5566[/C][C]0.289832[/C][/ROW]
[ROW][C]33[/C][C]-0.032326[/C][C]-0.2646[/C][C]0.396064[/C][/ROW]
[ROW][C]34[/C][C]-0.12071[/C][C]-0.9881[/C][C]0.16334[/C][/ROW]
[ROW][C]35[/C][C]0.056823[/C][C]0.4651[/C][C]0.321678[/C][/ROW]
[ROW][C]36[/C][C]-0.085898[/C][C]-0.7031[/C][C]0.242214[/C][/ROW]
[ROW][C]37[/C][C]-0.166406[/C][C]-1.3621[/C][C]0.088865[/C][/ROW]
[ROW][C]38[/C][C]-0.045522[/C][C]-0.3726[/C][C]0.355305[/C][/ROW]
[ROW][C]39[/C][C]0.033112[/C][C]0.271[/C][C]0.393598[/C][/ROW]
[ROW][C]40[/C][C]-0.004991[/C][C]-0.0409[/C][C]0.483768[/C][/ROW]
[ROW][C]41[/C][C]-0.086777[/C][C]-0.7103[/C][C]0.239992[/C][/ROW]
[ROW][C]42[/C][C]0.015444[/C][C]0.1264[/C][C]0.44989[/C][/ROW]
[ROW][C]43[/C][C]0.020393[/C][C]0.1669[/C][C]0.433968[/C][/ROW]
[ROW][C]44[/C][C]-0.122109[/C][C]-0.9995[/C][C]0.160573[/C][/ROW]
[ROW][C]45[/C][C]0.016719[/C][C]0.1368[/C][C]0.445781[/C][/ROW]
[ROW][C]46[/C][C]0.066372[/C][C]0.5433[/C][C]0.294371[/C][/ROW]
[ROW][C]47[/C][C]-0.058031[/C][C]-0.475[/C][C]0.318165[/C][/ROW]
[ROW][C]48[/C][C]0.035627[/C][C]0.2916[/C][C]0.38574[/C][/ROW]
[ROW][C]49[/C][C]0.084931[/C][C]0.6952[/C][C]0.24467[/C][/ROW]
[ROW][C]50[/C][C]0.000697[/C][C]0.0057[/C][C]0.497733[/C][/ROW]
[ROW][C]51[/C][C]0.024208[/C][C]0.1981[/C][C]0.421765[/C][/ROW]
[ROW][C]52[/C][C]-0.05132[/C][C]-0.4201[/C][C]0.33789[/C][/ROW]
[ROW][C]53[/C][C]-0.06367[/C][C]-0.5212[/C][C]0.301987[/C][/ROW]
[ROW][C]54[/C][C]0.010998[/C][C]0.09[/C][C]0.46427[/C][/ROW]
[ROW][C]55[/C][C]-0.032449[/C][C]-0.2656[/C][C]0.395679[/C][/ROW]
[ROW][C]56[/C][C]0.037223[/C][C]0.3047[/C][C]0.380776[/C][/ROW]
[ROW][C]57[/C][C]-0.044342[/C][C]-0.363[/C][C]0.358891[/C][/ROW]
[ROW][C]58[/C][C]-0.002699[/C][C]-0.0221[/C][C]0.491221[/C][/ROW]
[ROW][C]59[/C][C]-0.017441[/C][C]-0.1428[/C][C]0.443454[/C][/ROW]
[ROW][C]60[/C][C]0.055099[/C][C]0.451[/C][C]0.326721[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=32813&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=32813&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
10.5022344.1115.5e-05
2-0.495234-4.05376.7e-05
3-0.399529-3.27030.000849
40.0006230.00510.497973
50.0966340.7910.215871
6-0.197378-1.61560.055439
7-0.238561-1.95270.027517
8-0.130937-1.07180.143835
9-0.140105-1.14680.127771
100.148061.21190.114899
11-0.001644-0.01350.494652
120.0860550.70440.241816
13-0.107087-0.87650.191933
140.2775992.27220.013143
150.0377820.30930.379044
16-0.070685-0.57860.282407
170.0131270.10750.457376
180.1693421.38610.085153
190.0514070.42080.337631
20-0.126442-1.0350.152201
210.0966380.7910.215863
22-0.06748-0.55230.291273
23-0.117832-0.96450.169133
24-0.155148-1.26990.104249
25-0.009618-0.07870.468743
26-0.034704-0.28410.388617
27-0.005296-0.04340.482775
28-0.033013-0.27020.393909
290.0989270.80970.210476
300.0352560.28860.386896
31-0.046659-0.38190.351864
32-0.067998-0.55660.289832
33-0.032326-0.26460.396064
34-0.12071-0.98810.16334
350.0568230.46510.321678
36-0.085898-0.70310.242214
37-0.166406-1.36210.088865
38-0.045522-0.37260.355305
390.0331120.2710.393598
40-0.004991-0.04090.483768
41-0.086777-0.71030.239992
420.0154440.12640.44989
430.0203930.16690.433968
44-0.122109-0.99950.160573
450.0167190.13680.445781
460.0663720.54330.294371
47-0.058031-0.4750.318165
480.0356270.29160.38574
490.0849310.69520.24467
500.0006970.00570.497733
510.0242080.19810.421765
52-0.05132-0.42010.33789
53-0.06367-0.52120.301987
540.0109980.090.46427
55-0.032449-0.26560.395679
560.0372230.30470.380776
57-0.044342-0.3630.358891
58-0.002699-0.02210.491221
59-0.017441-0.14280.443454
600.0550990.4510.326721



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