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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationFri, 30 Nov 2007 08:37:45 -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/Nov/30/t1196436505dblu8sz2qsk0yb2.htm/, Retrieved Sun, 28 Apr 2024 09:49:27 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=7740, Retrieved Sun, 28 Apr 2024 09:49:27 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact185
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [Q1 Export] [2007-11-30 15:37:45] [0c269222ff5238ed17e011dfedaec76b] [Current]
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Dataseries X:
544.5
619.8
777.6
640.4
633.0
722.0
860.1
495.1
692.8
766.7
648.5
640.0
681.6
752.5
1031.7
685.5
887.6
655.4
944.2
626.6
1221.8
939.6
886.6
811.3
774.7
910.6
911.6
697.7
829.8
824.3
885.6
538.9
686.0
878.7
812.7
640.4
773.9
795.9
836.3
876.1
851.7
692.4
877.3
536.8
705.9
951.0
755.7
695.5
744.8
672.1
666.6
760.8
756.0
604.4
883.9
527.9
756.2
812.9
655.6
707.6




Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\begin{tabular}{lllllllll}
\hline
Summary of compuational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7740&T=0

[TABLE]
[ROW][C]Summary of compuational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=7740&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7740&T=0

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Autocorrelation Function
Time lag kACF(k)T-STATP-value
017.7460
1-0.045544-0.35280.637257
20.1038770.80460.212105
30.124930.96770.168538
40.2518351.95070.027884
50.0266670.20660.418525
60.1572151.21780.114038
70.0629040.48730.313928
80.1493251.15670.125996
9-0.018397-0.14250.55642
10-0.059658-0.46210.677163
11-0.184912-1.43230.921379
120.3413622.64420.005218
13-0.285847-2.21420.984686
14-0.090199-0.69870.756274
15-0.079133-0.6130.728891
160.0243060.18830.425648
17-0.126409-0.97920.834284
18-0.084822-0.6570.743162
19-0.023666-0.18330.572416
20-0.007149-0.05540.521989
21-0.154625-1.19770.882131
22-0.093867-0.72710.765001
23-0.168382-1.30430.90144
240.2129791.64970.052113
25-0.124332-0.96310.830311
26-0.092985-0.72030.762919
27-0.067623-0.52380.698829
280.0362830.2810.389821
29-0.204599-1.58480.940868
30-0.131923-1.02190.844528
310.090520.70120.242955
32-0.03547-0.27470.607774
33-0.143483-1.11140.864589
34-0.005335-0.04130.516412
35-0.194086-1.50340.931007
360.1123730.87040.193766
37-0.112019-0.86770.805491
38-0.076308-0.59110.721655
39-0.060169-0.46610.678573
400.0667670.51720.303468
41-0.073701-0.57090.714896
420.008750.06780.473094
430.1247360.96620.168911
44-0.028364-0.21970.586577
45-0.012332-0.09550.537892
460.0574640.44510.328918
47-0.015928-0.12340.548889
480.1150130.89090.188273
490.013370.10360.458929
500.0125430.09720.461463
510.044990.34850.364345
520.0508330.39380.34758
530.0006330.00490.498052
540.011590.08980.464383
550.0756330.58580.280088
56-0.009502-0.07360.529214
57-0.002853-0.02210.508778
580.027610.21390.415689
590.0091130.07060.471979

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 7.746 & 0 \tabularnewline
1 & -0.045544 & -0.3528 & 0.637257 \tabularnewline
2 & 0.103877 & 0.8046 & 0.212105 \tabularnewline
3 & 0.12493 & 0.9677 & 0.168538 \tabularnewline
4 & 0.251835 & 1.9507 & 0.027884 \tabularnewline
5 & 0.026667 & 0.2066 & 0.418525 \tabularnewline
6 & 0.157215 & 1.2178 & 0.114038 \tabularnewline
7 & 0.062904 & 0.4873 & 0.313928 \tabularnewline
8 & 0.149325 & 1.1567 & 0.125996 \tabularnewline
9 & -0.018397 & -0.1425 & 0.55642 \tabularnewline
10 & -0.059658 & -0.4621 & 0.677163 \tabularnewline
11 & -0.184912 & -1.4323 & 0.921379 \tabularnewline
12 & 0.341362 & 2.6442 & 0.005218 \tabularnewline
13 & -0.285847 & -2.2142 & 0.984686 \tabularnewline
14 & -0.090199 & -0.6987 & 0.756274 \tabularnewline
15 & -0.079133 & -0.613 & 0.728891 \tabularnewline
16 & 0.024306 & 0.1883 & 0.425648 \tabularnewline
17 & -0.126409 & -0.9792 & 0.834284 \tabularnewline
18 & -0.084822 & -0.657 & 0.743162 \tabularnewline
19 & -0.023666 & -0.1833 & 0.572416 \tabularnewline
20 & -0.007149 & -0.0554 & 0.521989 \tabularnewline
21 & -0.154625 & -1.1977 & 0.882131 \tabularnewline
22 & -0.093867 & -0.7271 & 0.765001 \tabularnewline
23 & -0.168382 & -1.3043 & 0.90144 \tabularnewline
24 & 0.212979 & 1.6497 & 0.052113 \tabularnewline
25 & -0.124332 & -0.9631 & 0.830311 \tabularnewline
26 & -0.092985 & -0.7203 & 0.762919 \tabularnewline
27 & -0.067623 & -0.5238 & 0.698829 \tabularnewline
28 & 0.036283 & 0.281 & 0.389821 \tabularnewline
29 & -0.204599 & -1.5848 & 0.940868 \tabularnewline
30 & -0.131923 & -1.0219 & 0.844528 \tabularnewline
31 & 0.09052 & 0.7012 & 0.242955 \tabularnewline
32 & -0.03547 & -0.2747 & 0.607774 \tabularnewline
33 & -0.143483 & -1.1114 & 0.864589 \tabularnewline
34 & -0.005335 & -0.0413 & 0.516412 \tabularnewline
35 & -0.194086 & -1.5034 & 0.931007 \tabularnewline
36 & 0.112373 & 0.8704 & 0.193766 \tabularnewline
37 & -0.112019 & -0.8677 & 0.805491 \tabularnewline
38 & -0.076308 & -0.5911 & 0.721655 \tabularnewline
39 & -0.060169 & -0.4661 & 0.678573 \tabularnewline
40 & 0.066767 & 0.5172 & 0.303468 \tabularnewline
41 & -0.073701 & -0.5709 & 0.714896 \tabularnewline
42 & 0.00875 & 0.0678 & 0.473094 \tabularnewline
43 & 0.124736 & 0.9662 & 0.168911 \tabularnewline
44 & -0.028364 & -0.2197 & 0.586577 \tabularnewline
45 & -0.012332 & -0.0955 & 0.537892 \tabularnewline
46 & 0.057464 & 0.4451 & 0.328918 \tabularnewline
47 & -0.015928 & -0.1234 & 0.548889 \tabularnewline
48 & 0.115013 & 0.8909 & 0.188273 \tabularnewline
49 & 0.01337 & 0.1036 & 0.458929 \tabularnewline
50 & 0.012543 & 0.0972 & 0.461463 \tabularnewline
51 & 0.04499 & 0.3485 & 0.364345 \tabularnewline
52 & 0.050833 & 0.3938 & 0.34758 \tabularnewline
53 & 0.000633 & 0.0049 & 0.498052 \tabularnewline
54 & 0.01159 & 0.0898 & 0.464383 \tabularnewline
55 & 0.075633 & 0.5858 & 0.280088 \tabularnewline
56 & -0.009502 & -0.0736 & 0.529214 \tabularnewline
57 & -0.002853 & -0.0221 & 0.508778 \tabularnewline
58 & 0.02761 & 0.2139 & 0.415689 \tabularnewline
59 & 0.009113 & 0.0706 & 0.471979 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7740&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]-0.045544[/C][C]-0.3528[/C][C]0.637257[/C][/ROW]
[ROW][C]2[/C][C]0.103877[/C][C]0.8046[/C][C]0.212105[/C][/ROW]
[ROW][C]3[/C][C]0.12493[/C][C]0.9677[/C][C]0.168538[/C][/ROW]
[ROW][C]4[/C][C]0.251835[/C][C]1.9507[/C][C]0.027884[/C][/ROW]
[ROW][C]5[/C][C]0.026667[/C][C]0.2066[/C][C]0.418525[/C][/ROW]
[ROW][C]6[/C][C]0.157215[/C][C]1.2178[/C][C]0.114038[/C][/ROW]
[ROW][C]7[/C][C]0.062904[/C][C]0.4873[/C][C]0.313928[/C][/ROW]
[ROW][C]8[/C][C]0.149325[/C][C]1.1567[/C][C]0.125996[/C][/ROW]
[ROW][C]9[/C][C]-0.018397[/C][C]-0.1425[/C][C]0.55642[/C][/ROW]
[ROW][C]10[/C][C]-0.059658[/C][C]-0.4621[/C][C]0.677163[/C][/ROW]
[ROW][C]11[/C][C]-0.184912[/C][C]-1.4323[/C][C]0.921379[/C][/ROW]
[ROW][C]12[/C][C]0.341362[/C][C]2.6442[/C][C]0.005218[/C][/ROW]
[ROW][C]13[/C][C]-0.285847[/C][C]-2.2142[/C][C]0.984686[/C][/ROW]
[ROW][C]14[/C][C]-0.090199[/C][C]-0.6987[/C][C]0.756274[/C][/ROW]
[ROW][C]15[/C][C]-0.079133[/C][C]-0.613[/C][C]0.728891[/C][/ROW]
[ROW][C]16[/C][C]0.024306[/C][C]0.1883[/C][C]0.425648[/C][/ROW]
[ROW][C]17[/C][C]-0.126409[/C][C]-0.9792[/C][C]0.834284[/C][/ROW]
[ROW][C]18[/C][C]-0.084822[/C][C]-0.657[/C][C]0.743162[/C][/ROW]
[ROW][C]19[/C][C]-0.023666[/C][C]-0.1833[/C][C]0.572416[/C][/ROW]
[ROW][C]20[/C][C]-0.007149[/C][C]-0.0554[/C][C]0.521989[/C][/ROW]
[ROW][C]21[/C][C]-0.154625[/C][C]-1.1977[/C][C]0.882131[/C][/ROW]
[ROW][C]22[/C][C]-0.093867[/C][C]-0.7271[/C][C]0.765001[/C][/ROW]
[ROW][C]23[/C][C]-0.168382[/C][C]-1.3043[/C][C]0.90144[/C][/ROW]
[ROW][C]24[/C][C]0.212979[/C][C]1.6497[/C][C]0.052113[/C][/ROW]
[ROW][C]25[/C][C]-0.124332[/C][C]-0.9631[/C][C]0.830311[/C][/ROW]
[ROW][C]26[/C][C]-0.092985[/C][C]-0.7203[/C][C]0.762919[/C][/ROW]
[ROW][C]27[/C][C]-0.067623[/C][C]-0.5238[/C][C]0.698829[/C][/ROW]
[ROW][C]28[/C][C]0.036283[/C][C]0.281[/C][C]0.389821[/C][/ROW]
[ROW][C]29[/C][C]-0.204599[/C][C]-1.5848[/C][C]0.940868[/C][/ROW]
[ROW][C]30[/C][C]-0.131923[/C][C]-1.0219[/C][C]0.844528[/C][/ROW]
[ROW][C]31[/C][C]0.09052[/C][C]0.7012[/C][C]0.242955[/C][/ROW]
[ROW][C]32[/C][C]-0.03547[/C][C]-0.2747[/C][C]0.607774[/C][/ROW]
[ROW][C]33[/C][C]-0.143483[/C][C]-1.1114[/C][C]0.864589[/C][/ROW]
[ROW][C]34[/C][C]-0.005335[/C][C]-0.0413[/C][C]0.516412[/C][/ROW]
[ROW][C]35[/C][C]-0.194086[/C][C]-1.5034[/C][C]0.931007[/C][/ROW]
[ROW][C]36[/C][C]0.112373[/C][C]0.8704[/C][C]0.193766[/C][/ROW]
[ROW][C]37[/C][C]-0.112019[/C][C]-0.8677[/C][C]0.805491[/C][/ROW]
[ROW][C]38[/C][C]-0.076308[/C][C]-0.5911[/C][C]0.721655[/C][/ROW]
[ROW][C]39[/C][C]-0.060169[/C][C]-0.4661[/C][C]0.678573[/C][/ROW]
[ROW][C]40[/C][C]0.066767[/C][C]0.5172[/C][C]0.303468[/C][/ROW]
[ROW][C]41[/C][C]-0.073701[/C][C]-0.5709[/C][C]0.714896[/C][/ROW]
[ROW][C]42[/C][C]0.00875[/C][C]0.0678[/C][C]0.473094[/C][/ROW]
[ROW][C]43[/C][C]0.124736[/C][C]0.9662[/C][C]0.168911[/C][/ROW]
[ROW][C]44[/C][C]-0.028364[/C][C]-0.2197[/C][C]0.586577[/C][/ROW]
[ROW][C]45[/C][C]-0.012332[/C][C]-0.0955[/C][C]0.537892[/C][/ROW]
[ROW][C]46[/C][C]0.057464[/C][C]0.4451[/C][C]0.328918[/C][/ROW]
[ROW][C]47[/C][C]-0.015928[/C][C]-0.1234[/C][C]0.548889[/C][/ROW]
[ROW][C]48[/C][C]0.115013[/C][C]0.8909[/C][C]0.188273[/C][/ROW]
[ROW][C]49[/C][C]0.01337[/C][C]0.1036[/C][C]0.458929[/C][/ROW]
[ROW][C]50[/C][C]0.012543[/C][C]0.0972[/C][C]0.461463[/C][/ROW]
[ROW][C]51[/C][C]0.04499[/C][C]0.3485[/C][C]0.364345[/C][/ROW]
[ROW][C]52[/C][C]0.050833[/C][C]0.3938[/C][C]0.34758[/C][/ROW]
[ROW][C]53[/C][C]0.000633[/C][C]0.0049[/C][C]0.498052[/C][/ROW]
[ROW][C]54[/C][C]0.01159[/C][C]0.0898[/C][C]0.464383[/C][/ROW]
[ROW][C]55[/C][C]0.075633[/C][C]0.5858[/C][C]0.280088[/C][/ROW]
[ROW][C]56[/C][C]-0.009502[/C][C]-0.0736[/C][C]0.529214[/C][/ROW]
[ROW][C]57[/C][C]-0.002853[/C][C]-0.0221[/C][C]0.508778[/C][/ROW]
[ROW][C]58[/C][C]0.02761[/C][C]0.2139[/C][C]0.415689[/C][/ROW]
[ROW][C]59[/C][C]0.009113[/C][C]0.0706[/C][C]0.471979[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=7740&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7740&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
1-0.045544-0.35280.637257
20.1038770.80460.212105
30.124930.96770.168538
40.2518351.95070.027884
50.0266670.20660.418525
60.1572151.21780.114038
70.0629040.48730.313928
80.1493251.15670.125996
9-0.018397-0.14250.55642
10-0.059658-0.46210.677163
11-0.184912-1.43230.921379
120.3413622.64420.005218
13-0.285847-2.21420.984686
14-0.090199-0.69870.756274
15-0.079133-0.6130.728891
160.0243060.18830.425648
17-0.126409-0.97920.834284
18-0.084822-0.6570.743162
19-0.023666-0.18330.572416
20-0.007149-0.05540.521989
21-0.154625-1.19770.882131
22-0.093867-0.72710.765001
23-0.168382-1.30430.90144
240.2129791.64970.052113
25-0.124332-0.96310.830311
26-0.092985-0.72030.762919
27-0.067623-0.52380.698829
280.0362830.2810.389821
29-0.204599-1.58480.940868
30-0.131923-1.02190.844528
310.090520.70120.242955
32-0.03547-0.27470.607774
33-0.143483-1.11140.864589
34-0.005335-0.04130.516412
35-0.194086-1.50340.931007
360.1123730.87040.193766
37-0.112019-0.86770.805491
38-0.076308-0.59110.721655
39-0.060169-0.46610.678573
400.0667670.51720.303468
41-0.073701-0.57090.714896
420.008750.06780.473094
430.1247360.96620.168911
44-0.028364-0.21970.586577
45-0.012332-0.09550.537892
460.0574640.44510.328918
47-0.015928-0.12340.548889
480.1150130.89090.188273
490.013370.10360.458929
500.0125430.09720.461463
510.044990.34850.364345
520.0508330.39380.34758
530.0006330.00490.498052
540.011590.08980.464383
550.0756330.58580.280088
56-0.009502-0.07360.529214
57-0.002853-0.02210.508778
580.027610.21390.415689
590.0091130.07060.471979







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
0-0.045544-0.35280.637257
10.1020150.79020.216261
20.1355131.04970.149037
30.2616762.02690.02356
40.0396570.30720.379884
50.1079420.83610.203204
60.0143190.11090.456027
70.07230.560.288771
8-0.059678-0.46230.677217
9-0.176226-1.3650.911331
10-0.306517-2.37430.9896
110.2876462.22810.014817
12-0.237049-1.83620.964356
13-0.09829-0.76140.775286
14-0.041884-0.32440.626629
150.0103140.07990.468294
160.1097380.850.199344
17-0.051794-0.40120.65515
180.0937090.72590.235372
190.0044630.03460.486269
20-0.102165-0.79140.784075
21-0.05105-0.39540.653036
22-0.144401-1.11850.866099
230.056280.43590.332222
240.1072210.83050.204765
25-0.112465-0.87120.806429
26-0.043834-0.33950.632303
27-0.033737-0.26130.602632
28-0.194884-1.50960.931798
29-0.100179-0.7760.779598
300.0525610.40710.342678
31-0.02975-0.23040.590735
32-0.012452-0.09650.538259
330.0496260.38440.35102
34-0.118827-0.92040.819482
350.0148590.11510.454375
36-0.033608-0.26030.602247
37-0.012928-0.10010.539715
38-0.070629-0.54710.706828
39-0.061833-0.4790.683145
400.1004550.77810.219778
410.0728040.56390.287449
42-0.011457-0.08870.535211
43-0.070353-0.5450.706098
440.0065780.05090.479767
45-0.041567-0.3220.625706
460.0697420.54020.295523
47-0.13956-1.0810.857995
48-0.038293-0.29660.616107
49-0.078728-0.60980.72786
50-0.024791-0.1920.575815
51-0.018213-0.14110.555859
520.0167720.12990.448533
530.0934050.72350.236088
54-0.023627-0.1830.572299
55-0.02098-0.16250.564274
56-0.029516-0.22860.590034
57-0.045944-0.35590.63841
58-0.036462-0.28240.610707
59NANANA

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & -0.045544 & -0.3528 & 0.637257 \tabularnewline
1 & 0.102015 & 0.7902 & 0.216261 \tabularnewline
2 & 0.135513 & 1.0497 & 0.149037 \tabularnewline
3 & 0.261676 & 2.0269 & 0.02356 \tabularnewline
4 & 0.039657 & 0.3072 & 0.379884 \tabularnewline
5 & 0.107942 & 0.8361 & 0.203204 \tabularnewline
6 & 0.014319 & 0.1109 & 0.456027 \tabularnewline
7 & 0.0723 & 0.56 & 0.288771 \tabularnewline
8 & -0.059678 & -0.4623 & 0.677217 \tabularnewline
9 & -0.176226 & -1.365 & 0.911331 \tabularnewline
10 & -0.306517 & -2.3743 & 0.9896 \tabularnewline
11 & 0.287646 & 2.2281 & 0.014817 \tabularnewline
12 & -0.237049 & -1.8362 & 0.964356 \tabularnewline
13 & -0.09829 & -0.7614 & 0.775286 \tabularnewline
14 & -0.041884 & -0.3244 & 0.626629 \tabularnewline
15 & 0.010314 & 0.0799 & 0.468294 \tabularnewline
16 & 0.109738 & 0.85 & 0.199344 \tabularnewline
17 & -0.051794 & -0.4012 & 0.65515 \tabularnewline
18 & 0.093709 & 0.7259 & 0.235372 \tabularnewline
19 & 0.004463 & 0.0346 & 0.486269 \tabularnewline
20 & -0.102165 & -0.7914 & 0.784075 \tabularnewline
21 & -0.05105 & -0.3954 & 0.653036 \tabularnewline
22 & -0.144401 & -1.1185 & 0.866099 \tabularnewline
23 & 0.05628 & 0.4359 & 0.332222 \tabularnewline
24 & 0.107221 & 0.8305 & 0.204765 \tabularnewline
25 & -0.112465 & -0.8712 & 0.806429 \tabularnewline
26 & -0.043834 & -0.3395 & 0.632303 \tabularnewline
27 & -0.033737 & -0.2613 & 0.602632 \tabularnewline
28 & -0.194884 & -1.5096 & 0.931798 \tabularnewline
29 & -0.100179 & -0.776 & 0.779598 \tabularnewline
30 & 0.052561 & 0.4071 & 0.342678 \tabularnewline
31 & -0.02975 & -0.2304 & 0.590735 \tabularnewline
32 & -0.012452 & -0.0965 & 0.538259 \tabularnewline
33 & 0.049626 & 0.3844 & 0.35102 \tabularnewline
34 & -0.118827 & -0.9204 & 0.819482 \tabularnewline
35 & 0.014859 & 0.1151 & 0.454375 \tabularnewline
36 & -0.033608 & -0.2603 & 0.602247 \tabularnewline
37 & -0.012928 & -0.1001 & 0.539715 \tabularnewline
38 & -0.070629 & -0.5471 & 0.706828 \tabularnewline
39 & -0.061833 & -0.479 & 0.683145 \tabularnewline
40 & 0.100455 & 0.7781 & 0.219778 \tabularnewline
41 & 0.072804 & 0.5639 & 0.287449 \tabularnewline
42 & -0.011457 & -0.0887 & 0.535211 \tabularnewline
43 & -0.070353 & -0.545 & 0.706098 \tabularnewline
44 & 0.006578 & 0.0509 & 0.479767 \tabularnewline
45 & -0.041567 & -0.322 & 0.625706 \tabularnewline
46 & 0.069742 & 0.5402 & 0.295523 \tabularnewline
47 & -0.13956 & -1.081 & 0.857995 \tabularnewline
48 & -0.038293 & -0.2966 & 0.616107 \tabularnewline
49 & -0.078728 & -0.6098 & 0.72786 \tabularnewline
50 & -0.024791 & -0.192 & 0.575815 \tabularnewline
51 & -0.018213 & -0.1411 & 0.555859 \tabularnewline
52 & 0.016772 & 0.1299 & 0.448533 \tabularnewline
53 & 0.093405 & 0.7235 & 0.236088 \tabularnewline
54 & -0.023627 & -0.183 & 0.572299 \tabularnewline
55 & -0.02098 & -0.1625 & 0.564274 \tabularnewline
56 & -0.029516 & -0.2286 & 0.590034 \tabularnewline
57 & -0.045944 & -0.3559 & 0.63841 \tabularnewline
58 & -0.036462 & -0.2824 & 0.610707 \tabularnewline
59 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7740&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]-0.045544[/C][C]-0.3528[/C][C]0.637257[/C][/ROW]
[ROW][C]1[/C][C]0.102015[/C][C]0.7902[/C][C]0.216261[/C][/ROW]
[ROW][C]2[/C][C]0.135513[/C][C]1.0497[/C][C]0.149037[/C][/ROW]
[ROW][C]3[/C][C]0.261676[/C][C]2.0269[/C][C]0.02356[/C][/ROW]
[ROW][C]4[/C][C]0.039657[/C][C]0.3072[/C][C]0.379884[/C][/ROW]
[ROW][C]5[/C][C]0.107942[/C][C]0.8361[/C][C]0.203204[/C][/ROW]
[ROW][C]6[/C][C]0.014319[/C][C]0.1109[/C][C]0.456027[/C][/ROW]
[ROW][C]7[/C][C]0.0723[/C][C]0.56[/C][C]0.288771[/C][/ROW]
[ROW][C]8[/C][C]-0.059678[/C][C]-0.4623[/C][C]0.677217[/C][/ROW]
[ROW][C]9[/C][C]-0.176226[/C][C]-1.365[/C][C]0.911331[/C][/ROW]
[ROW][C]10[/C][C]-0.306517[/C][C]-2.3743[/C][C]0.9896[/C][/ROW]
[ROW][C]11[/C][C]0.287646[/C][C]2.2281[/C][C]0.014817[/C][/ROW]
[ROW][C]12[/C][C]-0.237049[/C][C]-1.8362[/C][C]0.964356[/C][/ROW]
[ROW][C]13[/C][C]-0.09829[/C][C]-0.7614[/C][C]0.775286[/C][/ROW]
[ROW][C]14[/C][C]-0.041884[/C][C]-0.3244[/C][C]0.626629[/C][/ROW]
[ROW][C]15[/C][C]0.010314[/C][C]0.0799[/C][C]0.468294[/C][/ROW]
[ROW][C]16[/C][C]0.109738[/C][C]0.85[/C][C]0.199344[/C][/ROW]
[ROW][C]17[/C][C]-0.051794[/C][C]-0.4012[/C][C]0.65515[/C][/ROW]
[ROW][C]18[/C][C]0.093709[/C][C]0.7259[/C][C]0.235372[/C][/ROW]
[ROW][C]19[/C][C]0.004463[/C][C]0.0346[/C][C]0.486269[/C][/ROW]
[ROW][C]20[/C][C]-0.102165[/C][C]-0.7914[/C][C]0.784075[/C][/ROW]
[ROW][C]21[/C][C]-0.05105[/C][C]-0.3954[/C][C]0.653036[/C][/ROW]
[ROW][C]22[/C][C]-0.144401[/C][C]-1.1185[/C][C]0.866099[/C][/ROW]
[ROW][C]23[/C][C]0.05628[/C][C]0.4359[/C][C]0.332222[/C][/ROW]
[ROW][C]24[/C][C]0.107221[/C][C]0.8305[/C][C]0.204765[/C][/ROW]
[ROW][C]25[/C][C]-0.112465[/C][C]-0.8712[/C][C]0.806429[/C][/ROW]
[ROW][C]26[/C][C]-0.043834[/C][C]-0.3395[/C][C]0.632303[/C][/ROW]
[ROW][C]27[/C][C]-0.033737[/C][C]-0.2613[/C][C]0.602632[/C][/ROW]
[ROW][C]28[/C][C]-0.194884[/C][C]-1.5096[/C][C]0.931798[/C][/ROW]
[ROW][C]29[/C][C]-0.100179[/C][C]-0.776[/C][C]0.779598[/C][/ROW]
[ROW][C]30[/C][C]0.052561[/C][C]0.4071[/C][C]0.342678[/C][/ROW]
[ROW][C]31[/C][C]-0.02975[/C][C]-0.2304[/C][C]0.590735[/C][/ROW]
[ROW][C]32[/C][C]-0.012452[/C][C]-0.0965[/C][C]0.538259[/C][/ROW]
[ROW][C]33[/C][C]0.049626[/C][C]0.3844[/C][C]0.35102[/C][/ROW]
[ROW][C]34[/C][C]-0.118827[/C][C]-0.9204[/C][C]0.819482[/C][/ROW]
[ROW][C]35[/C][C]0.014859[/C][C]0.1151[/C][C]0.454375[/C][/ROW]
[ROW][C]36[/C][C]-0.033608[/C][C]-0.2603[/C][C]0.602247[/C][/ROW]
[ROW][C]37[/C][C]-0.012928[/C][C]-0.1001[/C][C]0.539715[/C][/ROW]
[ROW][C]38[/C][C]-0.070629[/C][C]-0.5471[/C][C]0.706828[/C][/ROW]
[ROW][C]39[/C][C]-0.061833[/C][C]-0.479[/C][C]0.683145[/C][/ROW]
[ROW][C]40[/C][C]0.100455[/C][C]0.7781[/C][C]0.219778[/C][/ROW]
[ROW][C]41[/C][C]0.072804[/C][C]0.5639[/C][C]0.287449[/C][/ROW]
[ROW][C]42[/C][C]-0.011457[/C][C]-0.0887[/C][C]0.535211[/C][/ROW]
[ROW][C]43[/C][C]-0.070353[/C][C]-0.545[/C][C]0.706098[/C][/ROW]
[ROW][C]44[/C][C]0.006578[/C][C]0.0509[/C][C]0.479767[/C][/ROW]
[ROW][C]45[/C][C]-0.041567[/C][C]-0.322[/C][C]0.625706[/C][/ROW]
[ROW][C]46[/C][C]0.069742[/C][C]0.5402[/C][C]0.295523[/C][/ROW]
[ROW][C]47[/C][C]-0.13956[/C][C]-1.081[/C][C]0.857995[/C][/ROW]
[ROW][C]48[/C][C]-0.038293[/C][C]-0.2966[/C][C]0.616107[/C][/ROW]
[ROW][C]49[/C][C]-0.078728[/C][C]-0.6098[/C][C]0.72786[/C][/ROW]
[ROW][C]50[/C][C]-0.024791[/C][C]-0.192[/C][C]0.575815[/C][/ROW]
[ROW][C]51[/C][C]-0.018213[/C][C]-0.1411[/C][C]0.555859[/C][/ROW]
[ROW][C]52[/C][C]0.016772[/C][C]0.1299[/C][C]0.448533[/C][/ROW]
[ROW][C]53[/C][C]0.093405[/C][C]0.7235[/C][C]0.236088[/C][/ROW]
[ROW][C]54[/C][C]-0.023627[/C][C]-0.183[/C][C]0.572299[/C][/ROW]
[ROW][C]55[/C][C]-0.02098[/C][C]-0.1625[/C][C]0.564274[/C][/ROW]
[ROW][C]56[/C][C]-0.029516[/C][C]-0.2286[/C][C]0.590034[/C][/ROW]
[ROW][C]57[/C][C]-0.045944[/C][C]-0.3559[/C][C]0.63841[/C][/ROW]
[ROW][C]58[/C][C]-0.036462[/C][C]-0.2824[/C][C]0.610707[/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=7740&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7740&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
0-0.045544-0.35280.637257
10.1020150.79020.216261
20.1355131.04970.149037
30.2616762.02690.02356
40.0396570.30720.379884
50.1079420.83610.203204
60.0143190.11090.456027
70.07230.560.288771
8-0.059678-0.46230.677217
9-0.176226-1.3650.911331
10-0.306517-2.37430.9896
110.2876462.22810.014817
12-0.237049-1.83620.964356
13-0.09829-0.76140.775286
14-0.041884-0.32440.626629
150.0103140.07990.468294
160.1097380.850.199344
17-0.051794-0.40120.65515
180.0937090.72590.235372
190.0044630.03460.486269
20-0.102165-0.79140.784075
21-0.05105-0.39540.653036
22-0.144401-1.11850.866099
230.056280.43590.332222
240.1072210.83050.204765
25-0.112465-0.87120.806429
26-0.043834-0.33950.632303
27-0.033737-0.26130.602632
28-0.194884-1.50960.931798
29-0.100179-0.7760.779598
300.0525610.40710.342678
31-0.02975-0.23040.590735
32-0.012452-0.09650.538259
330.0496260.38440.35102
34-0.118827-0.92040.819482
350.0148590.11510.454375
36-0.033608-0.26030.602247
37-0.012928-0.10010.539715
38-0.070629-0.54710.706828
39-0.061833-0.4790.683145
400.1004550.77810.219778
410.0728040.56390.287449
42-0.011457-0.08870.535211
43-0.070353-0.5450.706098
440.0065780.05090.479767
45-0.041567-0.3220.625706
460.0697420.54020.295523
47-0.13956-1.0810.857995
48-0.038293-0.29660.616107
49-0.078728-0.60980.72786
50-0.024791-0.1920.575815
51-0.018213-0.14110.555859
520.0167720.12990.448533
530.0934050.72350.236088
54-0.023627-0.1830.572299
55-0.02098-0.16250.564274
56-0.029516-0.22860.590034
57-0.045944-0.35590.63841
58-0.036462-0.28240.610707
59NANANA



Parameters (Session):
par1 = 60 ; par2 = 0.0 ; par3 = 0 ; par4 = 0 ; par5 = 12 ;
Parameters (R input):
par1 = 60 ; par2 = 0.0 ; 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')