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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, 27 Nov 2007 03:10:55 -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/27/t119615779676dgcruoads9yg3.htm/, Retrieved Sun, 05 May 2024 16:20:11 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=6804, Retrieved Sun, 05 May 2024 16:20:11 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordss0650062 s0650550
Estimated Impact200
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [Stationarity in T...] [2007-11-27 10:10:55] [ab924f39c1cc7a5dd22761038b10db61] [Current]
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Dataseries X:
8.0
8.1
8.3
8.2
8.1
7.7
7.6
7.7
8.2
8.4
8.4
8.6
8.4
8.5
8.7
8.7
8.6
7.4
7.3
7.4
9.0
9.2
9.2
8.5
8.3
8.3
8.6
8.6
8.5
8.1
8.1
8.0
8.6
8.7
8.7
8.6
8.4
8.4
8.7
8.7
8.5
8.3
8.3
8.3
8.1
8.2
8.1
8.1
7.9
7.7
8.1
8.0
7.7
7.8
7.6
7.4
7.7
7.8
7.5
7.2




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=6804&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=6804&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=6804&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
10.6832095.29211e-06
20.3056062.36720.010583
30.0301110.23320.408186
40.070980.54980.292246
50.1902351.47360.072915
60.2767932.1440.018046
70.1828041.4160.080973
80.0105370.08160.467612
9-0.04852-0.37580.645816
100.0920350.71290.239335
110.2390871.8520.034477
120.3277222.53850.006872
130.1743321.35040.090984
14-0.054169-0.41960.661858
15-0.234025-1.81270.962563
16-0.230138-1.78260.960148
17-0.109659-0.84940.800486
18-0.02081-0.16120.56376
19-0.092487-0.71640.761739
20-0.212968-1.64960.947879
21-0.234083-1.81320.962598
22-0.1594-1.23470.889123
23-0.071856-0.55660.710062
24-0.033649-0.26060.602371
25-0.060143-0.46590.678499
26-0.122607-0.94970.826965
27-0.149207-1.15570.873817
28-0.126256-0.9780.833994
29-0.101522-0.78640.782632
30-0.079104-0.61270.728818
31-0.142154-1.10110.862379
32-0.213272-1.6520.94812
33-0.238248-1.84550.965046
34-0.182575-1.41420.918767
35-0.124425-0.96380.830491
36-0.090212-0.69880.756306
37-0.107121-0.82980.795016
38-0.106642-0.8260.793975
39-0.059117-0.45790.675666
400.0371870.2880.387151
410.0277340.21480.415316
42-0.012791-0.09910.539297
43-0.095677-0.74110.769241
44-0.092616-0.71740.762044
45-0.065565-0.50790.693295
46-0.021767-0.16860.566664
470.0101290.07850.468861
480.037260.28860.386936
490.0635910.49260.312055
500.0580790.44990.32721
510.0756240.58580.280109
520.0980420.75940.225284
530.0823320.63770.263034
540.0562380.43560.332338
550.0205860.15950.436922
560.0048490.03760.48508
570.0033840.02620.489587
580.018640.14440.442841
590.0156570.12130.451939

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 7.746 & 0 \tabularnewline
1 & 0.683209 & 5.2921 & 1e-06 \tabularnewline
2 & 0.305606 & 2.3672 & 0.010583 \tabularnewline
3 & 0.030111 & 0.2332 & 0.408186 \tabularnewline
4 & 0.07098 & 0.5498 & 0.292246 \tabularnewline
5 & 0.190235 & 1.4736 & 0.072915 \tabularnewline
6 & 0.276793 & 2.144 & 0.018046 \tabularnewline
7 & 0.182804 & 1.416 & 0.080973 \tabularnewline
8 & 0.010537 & 0.0816 & 0.467612 \tabularnewline
9 & -0.04852 & -0.3758 & 0.645816 \tabularnewline
10 & 0.092035 & 0.7129 & 0.239335 \tabularnewline
11 & 0.239087 & 1.852 & 0.034477 \tabularnewline
12 & 0.327722 & 2.5385 & 0.006872 \tabularnewline
13 & 0.174332 & 1.3504 & 0.090984 \tabularnewline
14 & -0.054169 & -0.4196 & 0.661858 \tabularnewline
15 & -0.234025 & -1.8127 & 0.962563 \tabularnewline
16 & -0.230138 & -1.7826 & 0.960148 \tabularnewline
17 & -0.109659 & -0.8494 & 0.800486 \tabularnewline
18 & -0.02081 & -0.1612 & 0.56376 \tabularnewline
19 & -0.092487 & -0.7164 & 0.761739 \tabularnewline
20 & -0.212968 & -1.6496 & 0.947879 \tabularnewline
21 & -0.234083 & -1.8132 & 0.962598 \tabularnewline
22 & -0.1594 & -1.2347 & 0.889123 \tabularnewline
23 & -0.071856 & -0.5566 & 0.710062 \tabularnewline
24 & -0.033649 & -0.2606 & 0.602371 \tabularnewline
25 & -0.060143 & -0.4659 & 0.678499 \tabularnewline
26 & -0.122607 & -0.9497 & 0.826965 \tabularnewline
27 & -0.149207 & -1.1557 & 0.873817 \tabularnewline
28 & -0.126256 & -0.978 & 0.833994 \tabularnewline
29 & -0.101522 & -0.7864 & 0.782632 \tabularnewline
30 & -0.079104 & -0.6127 & 0.728818 \tabularnewline
31 & -0.142154 & -1.1011 & 0.862379 \tabularnewline
32 & -0.213272 & -1.652 & 0.94812 \tabularnewline
33 & -0.238248 & -1.8455 & 0.965046 \tabularnewline
34 & -0.182575 & -1.4142 & 0.918767 \tabularnewline
35 & -0.124425 & -0.9638 & 0.830491 \tabularnewline
36 & -0.090212 & -0.6988 & 0.756306 \tabularnewline
37 & -0.107121 & -0.8298 & 0.795016 \tabularnewline
38 & -0.106642 & -0.826 & 0.793975 \tabularnewline
39 & -0.059117 & -0.4579 & 0.675666 \tabularnewline
40 & 0.037187 & 0.288 & 0.387151 \tabularnewline
41 & 0.027734 & 0.2148 & 0.415316 \tabularnewline
42 & -0.012791 & -0.0991 & 0.539297 \tabularnewline
43 & -0.095677 & -0.7411 & 0.769241 \tabularnewline
44 & -0.092616 & -0.7174 & 0.762044 \tabularnewline
45 & -0.065565 & -0.5079 & 0.693295 \tabularnewline
46 & -0.021767 & -0.1686 & 0.566664 \tabularnewline
47 & 0.010129 & 0.0785 & 0.468861 \tabularnewline
48 & 0.03726 & 0.2886 & 0.386936 \tabularnewline
49 & 0.063591 & 0.4926 & 0.312055 \tabularnewline
50 & 0.058079 & 0.4499 & 0.32721 \tabularnewline
51 & 0.075624 & 0.5858 & 0.280109 \tabularnewline
52 & 0.098042 & 0.7594 & 0.225284 \tabularnewline
53 & 0.082332 & 0.6377 & 0.263034 \tabularnewline
54 & 0.056238 & 0.4356 & 0.332338 \tabularnewline
55 & 0.020586 & 0.1595 & 0.436922 \tabularnewline
56 & 0.004849 & 0.0376 & 0.48508 \tabularnewline
57 & 0.003384 & 0.0262 & 0.489587 \tabularnewline
58 & 0.01864 & 0.1444 & 0.442841 \tabularnewline
59 & 0.015657 & 0.1213 & 0.451939 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=6804&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]0.683209[/C][C]5.2921[/C][C]1e-06[/C][/ROW]
[ROW][C]2[/C][C]0.305606[/C][C]2.3672[/C][C]0.010583[/C][/ROW]
[ROW][C]3[/C][C]0.030111[/C][C]0.2332[/C][C]0.408186[/C][/ROW]
[ROW][C]4[/C][C]0.07098[/C][C]0.5498[/C][C]0.292246[/C][/ROW]
[ROW][C]5[/C][C]0.190235[/C][C]1.4736[/C][C]0.072915[/C][/ROW]
[ROW][C]6[/C][C]0.276793[/C][C]2.144[/C][C]0.018046[/C][/ROW]
[ROW][C]7[/C][C]0.182804[/C][C]1.416[/C][C]0.080973[/C][/ROW]
[ROW][C]8[/C][C]0.010537[/C][C]0.0816[/C][C]0.467612[/C][/ROW]
[ROW][C]9[/C][C]-0.04852[/C][C]-0.3758[/C][C]0.645816[/C][/ROW]
[ROW][C]10[/C][C]0.092035[/C][C]0.7129[/C][C]0.239335[/C][/ROW]
[ROW][C]11[/C][C]0.239087[/C][C]1.852[/C][C]0.034477[/C][/ROW]
[ROW][C]12[/C][C]0.327722[/C][C]2.5385[/C][C]0.006872[/C][/ROW]
[ROW][C]13[/C][C]0.174332[/C][C]1.3504[/C][C]0.090984[/C][/ROW]
[ROW][C]14[/C][C]-0.054169[/C][C]-0.4196[/C][C]0.661858[/C][/ROW]
[ROW][C]15[/C][C]-0.234025[/C][C]-1.8127[/C][C]0.962563[/C][/ROW]
[ROW][C]16[/C][C]-0.230138[/C][C]-1.7826[/C][C]0.960148[/C][/ROW]
[ROW][C]17[/C][C]-0.109659[/C][C]-0.8494[/C][C]0.800486[/C][/ROW]
[ROW][C]18[/C][C]-0.02081[/C][C]-0.1612[/C][C]0.56376[/C][/ROW]
[ROW][C]19[/C][C]-0.092487[/C][C]-0.7164[/C][C]0.761739[/C][/ROW]
[ROW][C]20[/C][C]-0.212968[/C][C]-1.6496[/C][C]0.947879[/C][/ROW]
[ROW][C]21[/C][C]-0.234083[/C][C]-1.8132[/C][C]0.962598[/C][/ROW]
[ROW][C]22[/C][C]-0.1594[/C][C]-1.2347[/C][C]0.889123[/C][/ROW]
[ROW][C]23[/C][C]-0.071856[/C][C]-0.5566[/C][C]0.710062[/C][/ROW]
[ROW][C]24[/C][C]-0.033649[/C][C]-0.2606[/C][C]0.602371[/C][/ROW]
[ROW][C]25[/C][C]-0.060143[/C][C]-0.4659[/C][C]0.678499[/C][/ROW]
[ROW][C]26[/C][C]-0.122607[/C][C]-0.9497[/C][C]0.826965[/C][/ROW]
[ROW][C]27[/C][C]-0.149207[/C][C]-1.1557[/C][C]0.873817[/C][/ROW]
[ROW][C]28[/C][C]-0.126256[/C][C]-0.978[/C][C]0.833994[/C][/ROW]
[ROW][C]29[/C][C]-0.101522[/C][C]-0.7864[/C][C]0.782632[/C][/ROW]
[ROW][C]30[/C][C]-0.079104[/C][C]-0.6127[/C][C]0.728818[/C][/ROW]
[ROW][C]31[/C][C]-0.142154[/C][C]-1.1011[/C][C]0.862379[/C][/ROW]
[ROW][C]32[/C][C]-0.213272[/C][C]-1.652[/C][C]0.94812[/C][/ROW]
[ROW][C]33[/C][C]-0.238248[/C][C]-1.8455[/C][C]0.965046[/C][/ROW]
[ROW][C]34[/C][C]-0.182575[/C][C]-1.4142[/C][C]0.918767[/C][/ROW]
[ROW][C]35[/C][C]-0.124425[/C][C]-0.9638[/C][C]0.830491[/C][/ROW]
[ROW][C]36[/C][C]-0.090212[/C][C]-0.6988[/C][C]0.756306[/C][/ROW]
[ROW][C]37[/C][C]-0.107121[/C][C]-0.8298[/C][C]0.795016[/C][/ROW]
[ROW][C]38[/C][C]-0.106642[/C][C]-0.826[/C][C]0.793975[/C][/ROW]
[ROW][C]39[/C][C]-0.059117[/C][C]-0.4579[/C][C]0.675666[/C][/ROW]
[ROW][C]40[/C][C]0.037187[/C][C]0.288[/C][C]0.387151[/C][/ROW]
[ROW][C]41[/C][C]0.027734[/C][C]0.2148[/C][C]0.415316[/C][/ROW]
[ROW][C]42[/C][C]-0.012791[/C][C]-0.0991[/C][C]0.539297[/C][/ROW]
[ROW][C]43[/C][C]-0.095677[/C][C]-0.7411[/C][C]0.769241[/C][/ROW]
[ROW][C]44[/C][C]-0.092616[/C][C]-0.7174[/C][C]0.762044[/C][/ROW]
[ROW][C]45[/C][C]-0.065565[/C][C]-0.5079[/C][C]0.693295[/C][/ROW]
[ROW][C]46[/C][C]-0.021767[/C][C]-0.1686[/C][C]0.566664[/C][/ROW]
[ROW][C]47[/C][C]0.010129[/C][C]0.0785[/C][C]0.468861[/C][/ROW]
[ROW][C]48[/C][C]0.03726[/C][C]0.2886[/C][C]0.386936[/C][/ROW]
[ROW][C]49[/C][C]0.063591[/C][C]0.4926[/C][C]0.312055[/C][/ROW]
[ROW][C]50[/C][C]0.058079[/C][C]0.4499[/C][C]0.32721[/C][/ROW]
[ROW][C]51[/C][C]0.075624[/C][C]0.5858[/C][C]0.280109[/C][/ROW]
[ROW][C]52[/C][C]0.098042[/C][C]0.7594[/C][C]0.225284[/C][/ROW]
[ROW][C]53[/C][C]0.082332[/C][C]0.6377[/C][C]0.263034[/C][/ROW]
[ROW][C]54[/C][C]0.056238[/C][C]0.4356[/C][C]0.332338[/C][/ROW]
[ROW][C]55[/C][C]0.020586[/C][C]0.1595[/C][C]0.436922[/C][/ROW]
[ROW][C]56[/C][C]0.004849[/C][C]0.0376[/C][C]0.48508[/C][/ROW]
[ROW][C]57[/C][C]0.003384[/C][C]0.0262[/C][C]0.489587[/C][/ROW]
[ROW][C]58[/C][C]0.01864[/C][C]0.1444[/C][C]0.442841[/C][/ROW]
[ROW][C]59[/C][C]0.015657[/C][C]0.1213[/C][C]0.451939[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=6804&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=6804&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
10.6832095.29211e-06
20.3056062.36720.010583
30.0301110.23320.408186
40.070980.54980.292246
50.1902351.47360.072915
60.2767932.1440.018046
70.1828041.4160.080973
80.0105370.08160.467612
9-0.04852-0.37580.645816
100.0920350.71290.239335
110.2390871.8520.034477
120.3277222.53850.006872
130.1743321.35040.090984
14-0.054169-0.41960.661858
15-0.234025-1.81270.962563
16-0.230138-1.78260.960148
17-0.109659-0.84940.800486
18-0.02081-0.16120.56376
19-0.092487-0.71640.761739
20-0.212968-1.64960.947879
21-0.234083-1.81320.962598
22-0.1594-1.23470.889123
23-0.071856-0.55660.710062
24-0.033649-0.26060.602371
25-0.060143-0.46590.678499
26-0.122607-0.94970.826965
27-0.149207-1.15570.873817
28-0.126256-0.9780.833994
29-0.101522-0.78640.782632
30-0.079104-0.61270.728818
31-0.142154-1.10110.862379
32-0.213272-1.6520.94812
33-0.238248-1.84550.965046
34-0.182575-1.41420.918767
35-0.124425-0.96380.830491
36-0.090212-0.69880.756306
37-0.107121-0.82980.795016
38-0.106642-0.8260.793975
39-0.059117-0.45790.675666
400.0371870.2880.387151
410.0277340.21480.415316
42-0.012791-0.09910.539297
43-0.095677-0.74110.769241
44-0.092616-0.71740.762044
45-0.065565-0.50790.693295
46-0.021767-0.16860.566664
470.0101290.07850.468861
480.037260.28860.386936
490.0635910.49260.312055
500.0580790.44990.32721
510.0756240.58580.280109
520.0980420.75940.225284
530.0823320.63770.263034
540.0562380.43560.332338
550.0205860.15950.436922
560.0048490.03760.48508
570.0033840.02620.489587
580.018640.14440.442841
590.0156570.12130.451939







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
00.6832095.29211e-06
1-0.302253-2.34120.98872
2-0.072832-0.56420.712623
30.3468882.6870.004657
40.0206820.16020.436629
50.0363580.28160.389599
6-0.089515-0.69340.754626
7-0.095337-0.73850.768448
80.1574921.21990.113633
90.1958331.51690.06727
10-0.048003-0.37180.644336
110.1486821.15170.127009
12-0.211622-1.63920.946799
13-0.141639-1.09710.861517
14-0.047248-0.3660.642168
15-0.140849-1.0910.860185
160.0503950.39040.348828
17-0.027193-0.21060.583059
18-0.208364-1.6140.94411
190.0699790.54210.294894
200.070180.54360.294362
21-0.200154-1.55040.936846
220.0327780.25390.400221
23-0.02236-0.17320.568462
240.0604850.46850.320558
250.1413531.09490.138964
26-0.081524-0.63150.734939
27-0.01223-0.09470.53758
280.0119120.09230.463395
29-0.069456-0.5380.703717
30-0.148624-1.15120.872899
31-0.027424-0.21240.583753
32-0.064751-0.50160.691093
33-0.008941-0.06930.527491
34-0.087893-0.68080.750697
35-0.055349-0.42870.665174
36-0.020471-0.15860.562729
370.0362350.28070.389962
380.0214050.16580.434435
390.092890.71950.237307
40-0.076669-0.59390.722587
410.0450340.34880.364217
42-0.006166-0.04780.518966
430.0391310.30310.381428
440.0014240.0110.495618
45-0.112684-0.87280.806886
460.0973020.75370.22699
470.0209160.1620.43592
480.002340.01810.492799
49-0.100531-0.77870.780394
50-0.037769-0.29260.614566
51-0.044679-0.34610.634754
52-0.012371-0.09580.538011
53-0.016556-0.12820.550806
54-0.000108-8e-040.500331
55-0.004294-0.03330.51321
56-0.050633-0.39220.651852
570.0010310.0080.496829
58-0.033397-0.25870.601622
59NANANA

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & 0.683209 & 5.2921 & 1e-06 \tabularnewline
1 & -0.302253 & -2.3412 & 0.98872 \tabularnewline
2 & -0.072832 & -0.5642 & 0.712623 \tabularnewline
3 & 0.346888 & 2.687 & 0.004657 \tabularnewline
4 & 0.020682 & 0.1602 & 0.436629 \tabularnewline
5 & 0.036358 & 0.2816 & 0.389599 \tabularnewline
6 & -0.089515 & -0.6934 & 0.754626 \tabularnewline
7 & -0.095337 & -0.7385 & 0.768448 \tabularnewline
8 & 0.157492 & 1.2199 & 0.113633 \tabularnewline
9 & 0.195833 & 1.5169 & 0.06727 \tabularnewline
10 & -0.048003 & -0.3718 & 0.644336 \tabularnewline
11 & 0.148682 & 1.1517 & 0.127009 \tabularnewline
12 & -0.211622 & -1.6392 & 0.946799 \tabularnewline
13 & -0.141639 & -1.0971 & 0.861517 \tabularnewline
14 & -0.047248 & -0.366 & 0.642168 \tabularnewline
15 & -0.140849 & -1.091 & 0.860185 \tabularnewline
16 & 0.050395 & 0.3904 & 0.348828 \tabularnewline
17 & -0.027193 & -0.2106 & 0.583059 \tabularnewline
18 & -0.208364 & -1.614 & 0.94411 \tabularnewline
19 & 0.069979 & 0.5421 & 0.294894 \tabularnewline
20 & 0.07018 & 0.5436 & 0.294362 \tabularnewline
21 & -0.200154 & -1.5504 & 0.936846 \tabularnewline
22 & 0.032778 & 0.2539 & 0.400221 \tabularnewline
23 & -0.02236 & -0.1732 & 0.568462 \tabularnewline
24 & 0.060485 & 0.4685 & 0.320558 \tabularnewline
25 & 0.141353 & 1.0949 & 0.138964 \tabularnewline
26 & -0.081524 & -0.6315 & 0.734939 \tabularnewline
27 & -0.01223 & -0.0947 & 0.53758 \tabularnewline
28 & 0.011912 & 0.0923 & 0.463395 \tabularnewline
29 & -0.069456 & -0.538 & 0.703717 \tabularnewline
30 & -0.148624 & -1.1512 & 0.872899 \tabularnewline
31 & -0.027424 & -0.2124 & 0.583753 \tabularnewline
32 & -0.064751 & -0.5016 & 0.691093 \tabularnewline
33 & -0.008941 & -0.0693 & 0.527491 \tabularnewline
34 & -0.087893 & -0.6808 & 0.750697 \tabularnewline
35 & -0.055349 & -0.4287 & 0.665174 \tabularnewline
36 & -0.020471 & -0.1586 & 0.562729 \tabularnewline
37 & 0.036235 & 0.2807 & 0.389962 \tabularnewline
38 & 0.021405 & 0.1658 & 0.434435 \tabularnewline
39 & 0.09289 & 0.7195 & 0.237307 \tabularnewline
40 & -0.076669 & -0.5939 & 0.722587 \tabularnewline
41 & 0.045034 & 0.3488 & 0.364217 \tabularnewline
42 & -0.006166 & -0.0478 & 0.518966 \tabularnewline
43 & 0.039131 & 0.3031 & 0.381428 \tabularnewline
44 & 0.001424 & 0.011 & 0.495618 \tabularnewline
45 & -0.112684 & -0.8728 & 0.806886 \tabularnewline
46 & 0.097302 & 0.7537 & 0.22699 \tabularnewline
47 & 0.020916 & 0.162 & 0.43592 \tabularnewline
48 & 0.00234 & 0.0181 & 0.492799 \tabularnewline
49 & -0.100531 & -0.7787 & 0.780394 \tabularnewline
50 & -0.037769 & -0.2926 & 0.614566 \tabularnewline
51 & -0.044679 & -0.3461 & 0.634754 \tabularnewline
52 & -0.012371 & -0.0958 & 0.538011 \tabularnewline
53 & -0.016556 & -0.1282 & 0.550806 \tabularnewline
54 & -0.000108 & -8e-04 & 0.500331 \tabularnewline
55 & -0.004294 & -0.0333 & 0.51321 \tabularnewline
56 & -0.050633 & -0.3922 & 0.651852 \tabularnewline
57 & 0.001031 & 0.008 & 0.496829 \tabularnewline
58 & -0.033397 & -0.2587 & 0.601622 \tabularnewline
59 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=6804&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]0.683209[/C][C]5.2921[/C][C]1e-06[/C][/ROW]
[ROW][C]1[/C][C]-0.302253[/C][C]-2.3412[/C][C]0.98872[/C][/ROW]
[ROW][C]2[/C][C]-0.072832[/C][C]-0.5642[/C][C]0.712623[/C][/ROW]
[ROW][C]3[/C][C]0.346888[/C][C]2.687[/C][C]0.004657[/C][/ROW]
[ROW][C]4[/C][C]0.020682[/C][C]0.1602[/C][C]0.436629[/C][/ROW]
[ROW][C]5[/C][C]0.036358[/C][C]0.2816[/C][C]0.389599[/C][/ROW]
[ROW][C]6[/C][C]-0.089515[/C][C]-0.6934[/C][C]0.754626[/C][/ROW]
[ROW][C]7[/C][C]-0.095337[/C][C]-0.7385[/C][C]0.768448[/C][/ROW]
[ROW][C]8[/C][C]0.157492[/C][C]1.2199[/C][C]0.113633[/C][/ROW]
[ROW][C]9[/C][C]0.195833[/C][C]1.5169[/C][C]0.06727[/C][/ROW]
[ROW][C]10[/C][C]-0.048003[/C][C]-0.3718[/C][C]0.644336[/C][/ROW]
[ROW][C]11[/C][C]0.148682[/C][C]1.1517[/C][C]0.127009[/C][/ROW]
[ROW][C]12[/C][C]-0.211622[/C][C]-1.6392[/C][C]0.946799[/C][/ROW]
[ROW][C]13[/C][C]-0.141639[/C][C]-1.0971[/C][C]0.861517[/C][/ROW]
[ROW][C]14[/C][C]-0.047248[/C][C]-0.366[/C][C]0.642168[/C][/ROW]
[ROW][C]15[/C][C]-0.140849[/C][C]-1.091[/C][C]0.860185[/C][/ROW]
[ROW][C]16[/C][C]0.050395[/C][C]0.3904[/C][C]0.348828[/C][/ROW]
[ROW][C]17[/C][C]-0.027193[/C][C]-0.2106[/C][C]0.583059[/C][/ROW]
[ROW][C]18[/C][C]-0.208364[/C][C]-1.614[/C][C]0.94411[/C][/ROW]
[ROW][C]19[/C][C]0.069979[/C][C]0.5421[/C][C]0.294894[/C][/ROW]
[ROW][C]20[/C][C]0.07018[/C][C]0.5436[/C][C]0.294362[/C][/ROW]
[ROW][C]21[/C][C]-0.200154[/C][C]-1.5504[/C][C]0.936846[/C][/ROW]
[ROW][C]22[/C][C]0.032778[/C][C]0.2539[/C][C]0.400221[/C][/ROW]
[ROW][C]23[/C][C]-0.02236[/C][C]-0.1732[/C][C]0.568462[/C][/ROW]
[ROW][C]24[/C][C]0.060485[/C][C]0.4685[/C][C]0.320558[/C][/ROW]
[ROW][C]25[/C][C]0.141353[/C][C]1.0949[/C][C]0.138964[/C][/ROW]
[ROW][C]26[/C][C]-0.081524[/C][C]-0.6315[/C][C]0.734939[/C][/ROW]
[ROW][C]27[/C][C]-0.01223[/C][C]-0.0947[/C][C]0.53758[/C][/ROW]
[ROW][C]28[/C][C]0.011912[/C][C]0.0923[/C][C]0.463395[/C][/ROW]
[ROW][C]29[/C][C]-0.069456[/C][C]-0.538[/C][C]0.703717[/C][/ROW]
[ROW][C]30[/C][C]-0.148624[/C][C]-1.1512[/C][C]0.872899[/C][/ROW]
[ROW][C]31[/C][C]-0.027424[/C][C]-0.2124[/C][C]0.583753[/C][/ROW]
[ROW][C]32[/C][C]-0.064751[/C][C]-0.5016[/C][C]0.691093[/C][/ROW]
[ROW][C]33[/C][C]-0.008941[/C][C]-0.0693[/C][C]0.527491[/C][/ROW]
[ROW][C]34[/C][C]-0.087893[/C][C]-0.6808[/C][C]0.750697[/C][/ROW]
[ROW][C]35[/C][C]-0.055349[/C][C]-0.4287[/C][C]0.665174[/C][/ROW]
[ROW][C]36[/C][C]-0.020471[/C][C]-0.1586[/C][C]0.562729[/C][/ROW]
[ROW][C]37[/C][C]0.036235[/C][C]0.2807[/C][C]0.389962[/C][/ROW]
[ROW][C]38[/C][C]0.021405[/C][C]0.1658[/C][C]0.434435[/C][/ROW]
[ROW][C]39[/C][C]0.09289[/C][C]0.7195[/C][C]0.237307[/C][/ROW]
[ROW][C]40[/C][C]-0.076669[/C][C]-0.5939[/C][C]0.722587[/C][/ROW]
[ROW][C]41[/C][C]0.045034[/C][C]0.3488[/C][C]0.364217[/C][/ROW]
[ROW][C]42[/C][C]-0.006166[/C][C]-0.0478[/C][C]0.518966[/C][/ROW]
[ROW][C]43[/C][C]0.039131[/C][C]0.3031[/C][C]0.381428[/C][/ROW]
[ROW][C]44[/C][C]0.001424[/C][C]0.011[/C][C]0.495618[/C][/ROW]
[ROW][C]45[/C][C]-0.112684[/C][C]-0.8728[/C][C]0.806886[/C][/ROW]
[ROW][C]46[/C][C]0.097302[/C][C]0.7537[/C][C]0.22699[/C][/ROW]
[ROW][C]47[/C][C]0.020916[/C][C]0.162[/C][C]0.43592[/C][/ROW]
[ROW][C]48[/C][C]0.00234[/C][C]0.0181[/C][C]0.492799[/C][/ROW]
[ROW][C]49[/C][C]-0.100531[/C][C]-0.7787[/C][C]0.780394[/C][/ROW]
[ROW][C]50[/C][C]-0.037769[/C][C]-0.2926[/C][C]0.614566[/C][/ROW]
[ROW][C]51[/C][C]-0.044679[/C][C]-0.3461[/C][C]0.634754[/C][/ROW]
[ROW][C]52[/C][C]-0.012371[/C][C]-0.0958[/C][C]0.538011[/C][/ROW]
[ROW][C]53[/C][C]-0.016556[/C][C]-0.1282[/C][C]0.550806[/C][/ROW]
[ROW][C]54[/C][C]-0.000108[/C][C]-8e-04[/C][C]0.500331[/C][/ROW]
[ROW][C]55[/C][C]-0.004294[/C][C]-0.0333[/C][C]0.51321[/C][/ROW]
[ROW][C]56[/C][C]-0.050633[/C][C]-0.3922[/C][C]0.651852[/C][/ROW]
[ROW][C]57[/C][C]0.001031[/C][C]0.008[/C][C]0.496829[/C][/ROW]
[ROW][C]58[/C][C]-0.033397[/C][C]-0.2587[/C][C]0.601622[/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=6804&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=6804&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
00.6832095.29211e-06
1-0.302253-2.34120.98872
2-0.072832-0.56420.712623
30.3468882.6870.004657
40.0206820.16020.436629
50.0363580.28160.389599
6-0.089515-0.69340.754626
7-0.095337-0.73850.768448
80.1574921.21990.113633
90.1958331.51690.06727
10-0.048003-0.37180.644336
110.1486821.15170.127009
12-0.211622-1.63920.946799
13-0.141639-1.09710.861517
14-0.047248-0.3660.642168
15-0.140849-1.0910.860185
160.0503950.39040.348828
17-0.027193-0.21060.583059
18-0.208364-1.6140.94411
190.0699790.54210.294894
200.070180.54360.294362
21-0.200154-1.55040.936846
220.0327780.25390.400221
23-0.02236-0.17320.568462
240.0604850.46850.320558
250.1413531.09490.138964
26-0.081524-0.63150.734939
27-0.01223-0.09470.53758
280.0119120.09230.463395
29-0.069456-0.5380.703717
30-0.148624-1.15120.872899
31-0.027424-0.21240.583753
32-0.064751-0.50160.691093
33-0.008941-0.06930.527491
34-0.087893-0.68080.750697
35-0.055349-0.42870.665174
36-0.020471-0.15860.562729
370.0362350.28070.389962
380.0214050.16580.434435
390.092890.71950.237307
40-0.076669-0.59390.722587
410.0450340.34880.364217
42-0.006166-0.04780.518966
430.0391310.30310.381428
440.0014240.0110.495618
45-0.112684-0.87280.806886
460.0973020.75370.22699
470.0209160.1620.43592
480.002340.01810.492799
49-0.100531-0.77870.780394
50-0.037769-0.29260.614566
51-0.044679-0.34610.634754
52-0.012371-0.09580.538011
53-0.016556-0.12820.550806
54-0.000108-8e-040.500331
55-0.004294-0.03330.51321
56-0.050633-0.39220.651852
570.0010310.0080.496829
58-0.033397-0.25870.601622
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')