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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 computationMon, 06 Dec 2010 13:16:16 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Dec/06/t1291641302ge8xisizkp5leqz.htm/, Retrieved Mon, 29 Apr 2024 06:04:13 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=105573, Retrieved Mon, 29 Apr 2024 06:04:13 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact150
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Mean Plot] [Gilliam Schoorel] [2008-11-06 14:07:56] [666bda00bbd072dde5655a1423b1377b]
- RMPD  [(Partial) Autocorrelation Function] [ACF suiker met d=1] [2008-12-09 16:13:46] [f77c9ab3b413812d7baee6b7ec69a15d]
-  MPD      [(Partial) Autocorrelation Function] [D = 1 acf bloem] [2010-12-06 13:16:16] [2fa539864aa87c5da4977c85c6885fac] [Current]
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Dataseries X:
0.81
0.81
0.81
0.79
0.78
0.78
0.77
0.78
0.77
0.78
0.79
0.79
0.79
0.79
0.79
0.8
0.8
0.8
0.8
0.81
0.8
0.82
0.85
0.85
0.86
0.85
0.83
0.81
0.82
0.82
0.78
0.78
0.73
0.68
0.65
0.62
0.6
0.6
0.59
0.6
0.6
0.6
0.59
0.58
0.56
0.55
0.54
0.55
0.55
0.54
0.54
0.54
0.53
0.53
0.53
0.53




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=105573&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]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=105573&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=105573&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'Sir Ronald Aylmer Fisher' @ 193.190.124.24







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.4079853.02570.001884
20.3574042.65060.005237
30.3312132.45630.008611
40.0302650.22440.41162
50.0120080.08910.464681
60.102920.76330.224281
70.0685010.5080.306736
80.0058720.04350.482712
9-0.004451-0.0330.486894
10-0.022707-0.16840.433443
11-0.198472-1.47190.073373
12-0.063041-0.46750.320987
13-0.141832-1.05190.148733
14-0.139812-1.03690.152165
15-0.146021-1.08290.141784
16-0.10771-0.79880.213922
17-0.105837-0.78490.217937
18-0.136142-1.00970.158541
19-0.077701-0.57620.283399
20-0.172508-1.27940.103072
21-0.210894-1.5640.061773
22-0.124096-0.92030.180711
23-0.202594-1.50250.069347
24-0.075097-0.55690.289916
25-0.137726-1.02140.155767
26-0.010082-0.07480.470334
27-0.003948-0.02930.488373
28-0.038514-0.28560.388118
290.0645930.4790.316907
300.0629390.46680.321254
310.000310.00230.499087
320.0712390.52830.2997
330.0008230.00610.497577
34-0.017434-0.12930.448799
35-0.015414-0.11430.454702
36-0.005167-0.03830.484787
37-0.003294-0.02440.4903
380.0391310.29020.386375
390.008680.06440.474455
400.038910.28860.387001
410.0327010.24250.404641
420.0023960.01780.492943
430.0044160.03270.486997
44-0.005613-0.04160.483474
450.0044880.03330.486784
460.0266370.19750.422065
47-0.007929-0.05880.476662
480.0021720.01610.493604
490.0081590.06050.475986
50-0.005984-0.04440.482382
51-0.008078-0.05990.476222
52-0.001945-0.01440.494272
530.0041890.03110.487665
540.0020940.01550.493832
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA
60NANANA

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.407985 & 3.0257 & 0.001884 \tabularnewline
2 & 0.357404 & 2.6506 & 0.005237 \tabularnewline
3 & 0.331213 & 2.4563 & 0.008611 \tabularnewline
4 & 0.030265 & 0.2244 & 0.41162 \tabularnewline
5 & 0.012008 & 0.0891 & 0.464681 \tabularnewline
6 & 0.10292 & 0.7633 & 0.224281 \tabularnewline
7 & 0.068501 & 0.508 & 0.306736 \tabularnewline
8 & 0.005872 & 0.0435 & 0.482712 \tabularnewline
9 & -0.004451 & -0.033 & 0.486894 \tabularnewline
10 & -0.022707 & -0.1684 & 0.433443 \tabularnewline
11 & -0.198472 & -1.4719 & 0.073373 \tabularnewline
12 & -0.063041 & -0.4675 & 0.320987 \tabularnewline
13 & -0.141832 & -1.0519 & 0.148733 \tabularnewline
14 & -0.139812 & -1.0369 & 0.152165 \tabularnewline
15 & -0.146021 & -1.0829 & 0.141784 \tabularnewline
16 & -0.10771 & -0.7988 & 0.213922 \tabularnewline
17 & -0.105837 & -0.7849 & 0.217937 \tabularnewline
18 & -0.136142 & -1.0097 & 0.158541 \tabularnewline
19 & -0.077701 & -0.5762 & 0.283399 \tabularnewline
20 & -0.172508 & -1.2794 & 0.103072 \tabularnewline
21 & -0.210894 & -1.564 & 0.061773 \tabularnewline
22 & -0.124096 & -0.9203 & 0.180711 \tabularnewline
23 & -0.202594 & -1.5025 & 0.069347 \tabularnewline
24 & -0.075097 & -0.5569 & 0.289916 \tabularnewline
25 & -0.137726 & -1.0214 & 0.155767 \tabularnewline
26 & -0.010082 & -0.0748 & 0.470334 \tabularnewline
27 & -0.003948 & -0.0293 & 0.488373 \tabularnewline
28 & -0.038514 & -0.2856 & 0.388118 \tabularnewline
29 & 0.064593 & 0.479 & 0.316907 \tabularnewline
30 & 0.062939 & 0.4668 & 0.321254 \tabularnewline
31 & 0.00031 & 0.0023 & 0.499087 \tabularnewline
32 & 0.071239 & 0.5283 & 0.2997 \tabularnewline
33 & 0.000823 & 0.0061 & 0.497577 \tabularnewline
34 & -0.017434 & -0.1293 & 0.448799 \tabularnewline
35 & -0.015414 & -0.1143 & 0.454702 \tabularnewline
36 & -0.005167 & -0.0383 & 0.484787 \tabularnewline
37 & -0.003294 & -0.0244 & 0.4903 \tabularnewline
38 & 0.039131 & 0.2902 & 0.386375 \tabularnewline
39 & 0.00868 & 0.0644 & 0.474455 \tabularnewline
40 & 0.03891 & 0.2886 & 0.387001 \tabularnewline
41 & 0.032701 & 0.2425 & 0.404641 \tabularnewline
42 & 0.002396 & 0.0178 & 0.492943 \tabularnewline
43 & 0.004416 & 0.0327 & 0.486997 \tabularnewline
44 & -0.005613 & -0.0416 & 0.483474 \tabularnewline
45 & 0.004488 & 0.0333 & 0.486784 \tabularnewline
46 & 0.026637 & 0.1975 & 0.422065 \tabularnewline
47 & -0.007929 & -0.0588 & 0.476662 \tabularnewline
48 & 0.002172 & 0.0161 & 0.493604 \tabularnewline
49 & 0.008159 & 0.0605 & 0.475986 \tabularnewline
50 & -0.005984 & -0.0444 & 0.482382 \tabularnewline
51 & -0.008078 & -0.0599 & 0.476222 \tabularnewline
52 & -0.001945 & -0.0144 & 0.494272 \tabularnewline
53 & 0.004189 & 0.0311 & 0.487665 \tabularnewline
54 & 0.002094 & 0.0155 & 0.493832 \tabularnewline
55 & NA & NA & NA \tabularnewline
56 & NA & NA & NA \tabularnewline
57 & NA & NA & NA \tabularnewline
58 & NA & NA & NA \tabularnewline
59 & NA & NA & NA \tabularnewline
60 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=105573&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]0.407985[/C][C]3.0257[/C][C]0.001884[/C][/ROW]
[ROW][C]2[/C][C]0.357404[/C][C]2.6506[/C][C]0.005237[/C][/ROW]
[ROW][C]3[/C][C]0.331213[/C][C]2.4563[/C][C]0.008611[/C][/ROW]
[ROW][C]4[/C][C]0.030265[/C][C]0.2244[/C][C]0.41162[/C][/ROW]
[ROW][C]5[/C][C]0.012008[/C][C]0.0891[/C][C]0.464681[/C][/ROW]
[ROW][C]6[/C][C]0.10292[/C][C]0.7633[/C][C]0.224281[/C][/ROW]
[ROW][C]7[/C][C]0.068501[/C][C]0.508[/C][C]0.306736[/C][/ROW]
[ROW][C]8[/C][C]0.005872[/C][C]0.0435[/C][C]0.482712[/C][/ROW]
[ROW][C]9[/C][C]-0.004451[/C][C]-0.033[/C][C]0.486894[/C][/ROW]
[ROW][C]10[/C][C]-0.022707[/C][C]-0.1684[/C][C]0.433443[/C][/ROW]
[ROW][C]11[/C][C]-0.198472[/C][C]-1.4719[/C][C]0.073373[/C][/ROW]
[ROW][C]12[/C][C]-0.063041[/C][C]-0.4675[/C][C]0.320987[/C][/ROW]
[ROW][C]13[/C][C]-0.141832[/C][C]-1.0519[/C][C]0.148733[/C][/ROW]
[ROW][C]14[/C][C]-0.139812[/C][C]-1.0369[/C][C]0.152165[/C][/ROW]
[ROW][C]15[/C][C]-0.146021[/C][C]-1.0829[/C][C]0.141784[/C][/ROW]
[ROW][C]16[/C][C]-0.10771[/C][C]-0.7988[/C][C]0.213922[/C][/ROW]
[ROW][C]17[/C][C]-0.105837[/C][C]-0.7849[/C][C]0.217937[/C][/ROW]
[ROW][C]18[/C][C]-0.136142[/C][C]-1.0097[/C][C]0.158541[/C][/ROW]
[ROW][C]19[/C][C]-0.077701[/C][C]-0.5762[/C][C]0.283399[/C][/ROW]
[ROW][C]20[/C][C]-0.172508[/C][C]-1.2794[/C][C]0.103072[/C][/ROW]
[ROW][C]21[/C][C]-0.210894[/C][C]-1.564[/C][C]0.061773[/C][/ROW]
[ROW][C]22[/C][C]-0.124096[/C][C]-0.9203[/C][C]0.180711[/C][/ROW]
[ROW][C]23[/C][C]-0.202594[/C][C]-1.5025[/C][C]0.069347[/C][/ROW]
[ROW][C]24[/C][C]-0.075097[/C][C]-0.5569[/C][C]0.289916[/C][/ROW]
[ROW][C]25[/C][C]-0.137726[/C][C]-1.0214[/C][C]0.155767[/C][/ROW]
[ROW][C]26[/C][C]-0.010082[/C][C]-0.0748[/C][C]0.470334[/C][/ROW]
[ROW][C]27[/C][C]-0.003948[/C][C]-0.0293[/C][C]0.488373[/C][/ROW]
[ROW][C]28[/C][C]-0.038514[/C][C]-0.2856[/C][C]0.388118[/C][/ROW]
[ROW][C]29[/C][C]0.064593[/C][C]0.479[/C][C]0.316907[/C][/ROW]
[ROW][C]30[/C][C]0.062939[/C][C]0.4668[/C][C]0.321254[/C][/ROW]
[ROW][C]31[/C][C]0.00031[/C][C]0.0023[/C][C]0.499087[/C][/ROW]
[ROW][C]32[/C][C]0.071239[/C][C]0.5283[/C][C]0.2997[/C][/ROW]
[ROW][C]33[/C][C]0.000823[/C][C]0.0061[/C][C]0.497577[/C][/ROW]
[ROW][C]34[/C][C]-0.017434[/C][C]-0.1293[/C][C]0.448799[/C][/ROW]
[ROW][C]35[/C][C]-0.015414[/C][C]-0.1143[/C][C]0.454702[/C][/ROW]
[ROW][C]36[/C][C]-0.005167[/C][C]-0.0383[/C][C]0.484787[/C][/ROW]
[ROW][C]37[/C][C]-0.003294[/C][C]-0.0244[/C][C]0.4903[/C][/ROW]
[ROW][C]38[/C][C]0.039131[/C][C]0.2902[/C][C]0.386375[/C][/ROW]
[ROW][C]39[/C][C]0.00868[/C][C]0.0644[/C][C]0.474455[/C][/ROW]
[ROW][C]40[/C][C]0.03891[/C][C]0.2886[/C][C]0.387001[/C][/ROW]
[ROW][C]41[/C][C]0.032701[/C][C]0.2425[/C][C]0.404641[/C][/ROW]
[ROW][C]42[/C][C]0.002396[/C][C]0.0178[/C][C]0.492943[/C][/ROW]
[ROW][C]43[/C][C]0.004416[/C][C]0.0327[/C][C]0.486997[/C][/ROW]
[ROW][C]44[/C][C]-0.005613[/C][C]-0.0416[/C][C]0.483474[/C][/ROW]
[ROW][C]45[/C][C]0.004488[/C][C]0.0333[/C][C]0.486784[/C][/ROW]
[ROW][C]46[/C][C]0.026637[/C][C]0.1975[/C][C]0.422065[/C][/ROW]
[ROW][C]47[/C][C]-0.007929[/C][C]-0.0588[/C][C]0.476662[/C][/ROW]
[ROW][C]48[/C][C]0.002172[/C][C]0.0161[/C][C]0.493604[/C][/ROW]
[ROW][C]49[/C][C]0.008159[/C][C]0.0605[/C][C]0.475986[/C][/ROW]
[ROW][C]50[/C][C]-0.005984[/C][C]-0.0444[/C][C]0.482382[/C][/ROW]
[ROW][C]51[/C][C]-0.008078[/C][C]-0.0599[/C][C]0.476222[/C][/ROW]
[ROW][C]52[/C][C]-0.001945[/C][C]-0.0144[/C][C]0.494272[/C][/ROW]
[ROW][C]53[/C][C]0.004189[/C][C]0.0311[/C][C]0.487665[/C][/ROW]
[ROW][C]54[/C][C]0.002094[/C][C]0.0155[/C][C]0.493832[/C][/ROW]
[ROW][C]55[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]56[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]57[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]58[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]59[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]60[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=105573&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=105573&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
10.4079853.02570.001884
20.3574042.65060.005237
30.3312132.45630.008611
40.0302650.22440.41162
50.0120080.08910.464681
60.102920.76330.224281
70.0685010.5080.306736
80.0058720.04350.482712
9-0.004451-0.0330.486894
10-0.022707-0.16840.433443
11-0.198472-1.47190.073373
12-0.063041-0.46750.320987
13-0.141832-1.05190.148733
14-0.139812-1.03690.152165
15-0.146021-1.08290.141784
16-0.10771-0.79880.213922
17-0.105837-0.78490.217937
18-0.136142-1.00970.158541
19-0.077701-0.57620.283399
20-0.172508-1.27940.103072
21-0.210894-1.5640.061773
22-0.124096-0.92030.180711
23-0.202594-1.50250.069347
24-0.075097-0.55690.289916
25-0.137726-1.02140.155767
26-0.010082-0.07480.470334
27-0.003948-0.02930.488373
28-0.038514-0.28560.388118
290.0645930.4790.316907
300.0629390.46680.321254
310.000310.00230.499087
320.0712390.52830.2997
330.0008230.00610.497577
34-0.017434-0.12930.448799
35-0.015414-0.11430.454702
36-0.005167-0.03830.484787
37-0.003294-0.02440.4903
380.0391310.29020.386375
390.008680.06440.474455
400.038910.28860.387001
410.0327010.24250.404641
420.0023960.01780.492943
430.0044160.03270.486997
44-0.005613-0.04160.483474
450.0044880.03330.486784
460.0266370.19750.422065
47-0.007929-0.05880.476662
480.0021720.01610.493604
490.0081590.06050.475986
50-0.005984-0.04440.482382
51-0.008078-0.05990.476222
52-0.001945-0.01440.494272
530.0041890.03110.487665
540.0020940.01550.493832
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA
60NANANA







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.4079853.02570.001884
20.2290841.69890.047492
30.1586961.17690.122147
4-0.247625-1.83640.03585
5-0.07188-0.53310.298064
60.1683451.24850.108572
70.1285710.95350.172252
8-0.122533-0.90870.183729
9-0.155193-1.15090.127368
100.0177730.13180.447808
11-0.123434-0.91540.181987
120.1026740.76150.22482
13-0.116863-0.86670.194941
14-0.015145-0.11230.45549
15-0.14626-1.08470.141394
160.0645660.47880.316978
170.0419350.3110.378489
18-0.068142-0.50540.307663
19-0.060879-0.45150.326706
20-0.174745-1.29590.100203
21-0.0496-0.36780.357202
220.0277280.20560.418916
23-0.025543-0.18940.425226
240.0143010.10610.45796
25-0.19764-1.46570.074207
260.1107580.82140.207481
270.0727990.53990.295725
28-0.001565-0.01160.495391
29-0.041869-0.31050.378673
300.0162610.12060.452227
31-0.08226-0.61010.272169
320.022860.16950.433
33-0.062897-0.46650.321364
34-0.07229-0.53610.297019
35-0.039871-0.29570.38429
36-0.099636-0.73890.231548
370.1199450.88950.188795
380.0040850.03030.48797
39-0.067216-0.49850.310064
40-0.025298-0.18760.425934
410.0082280.0610.475782
420.0036270.02690.489319
43-0.051929-0.38510.35082
44-0.060597-0.44940.327454
45-0.002781-0.02060.491811
46-0.001324-0.00980.496102
47-0.01511-0.11210.455592
48-0.068134-0.50530.307686
490.0251690.18670.426307
500.0057320.04250.483124
510.0254250.18860.425568
52-0.041708-0.30930.379125
53-0.003955-0.02930.488354
54-0.037553-0.27850.390836
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA
60NANANA

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.407985 & 3.0257 & 0.001884 \tabularnewline
2 & 0.229084 & 1.6989 & 0.047492 \tabularnewline
3 & 0.158696 & 1.1769 & 0.122147 \tabularnewline
4 & -0.247625 & -1.8364 & 0.03585 \tabularnewline
5 & -0.07188 & -0.5331 & 0.298064 \tabularnewline
6 & 0.168345 & 1.2485 & 0.108572 \tabularnewline
7 & 0.128571 & 0.9535 & 0.172252 \tabularnewline
8 & -0.122533 & -0.9087 & 0.183729 \tabularnewline
9 & -0.155193 & -1.1509 & 0.127368 \tabularnewline
10 & 0.017773 & 0.1318 & 0.447808 \tabularnewline
11 & -0.123434 & -0.9154 & 0.181987 \tabularnewline
12 & 0.102674 & 0.7615 & 0.22482 \tabularnewline
13 & -0.116863 & -0.8667 & 0.194941 \tabularnewline
14 & -0.015145 & -0.1123 & 0.45549 \tabularnewline
15 & -0.14626 & -1.0847 & 0.141394 \tabularnewline
16 & 0.064566 & 0.4788 & 0.316978 \tabularnewline
17 & 0.041935 & 0.311 & 0.378489 \tabularnewline
18 & -0.068142 & -0.5054 & 0.307663 \tabularnewline
19 & -0.060879 & -0.4515 & 0.326706 \tabularnewline
20 & -0.174745 & -1.2959 & 0.100203 \tabularnewline
21 & -0.0496 & -0.3678 & 0.357202 \tabularnewline
22 & 0.027728 & 0.2056 & 0.418916 \tabularnewline
23 & -0.025543 & -0.1894 & 0.425226 \tabularnewline
24 & 0.014301 & 0.1061 & 0.45796 \tabularnewline
25 & -0.19764 & -1.4657 & 0.074207 \tabularnewline
26 & 0.110758 & 0.8214 & 0.207481 \tabularnewline
27 & 0.072799 & 0.5399 & 0.295725 \tabularnewline
28 & -0.001565 & -0.0116 & 0.495391 \tabularnewline
29 & -0.041869 & -0.3105 & 0.378673 \tabularnewline
30 & 0.016261 & 0.1206 & 0.452227 \tabularnewline
31 & -0.08226 & -0.6101 & 0.272169 \tabularnewline
32 & 0.02286 & 0.1695 & 0.433 \tabularnewline
33 & -0.062897 & -0.4665 & 0.321364 \tabularnewline
34 & -0.07229 & -0.5361 & 0.297019 \tabularnewline
35 & -0.039871 & -0.2957 & 0.38429 \tabularnewline
36 & -0.099636 & -0.7389 & 0.231548 \tabularnewline
37 & 0.119945 & 0.8895 & 0.188795 \tabularnewline
38 & 0.004085 & 0.0303 & 0.48797 \tabularnewline
39 & -0.067216 & -0.4985 & 0.310064 \tabularnewline
40 & -0.025298 & -0.1876 & 0.425934 \tabularnewline
41 & 0.008228 & 0.061 & 0.475782 \tabularnewline
42 & 0.003627 & 0.0269 & 0.489319 \tabularnewline
43 & -0.051929 & -0.3851 & 0.35082 \tabularnewline
44 & -0.060597 & -0.4494 & 0.327454 \tabularnewline
45 & -0.002781 & -0.0206 & 0.491811 \tabularnewline
46 & -0.001324 & -0.0098 & 0.496102 \tabularnewline
47 & -0.01511 & -0.1121 & 0.455592 \tabularnewline
48 & -0.068134 & -0.5053 & 0.307686 \tabularnewline
49 & 0.025169 & 0.1867 & 0.426307 \tabularnewline
50 & 0.005732 & 0.0425 & 0.483124 \tabularnewline
51 & 0.025425 & 0.1886 & 0.425568 \tabularnewline
52 & -0.041708 & -0.3093 & 0.379125 \tabularnewline
53 & -0.003955 & -0.0293 & 0.488354 \tabularnewline
54 & -0.037553 & -0.2785 & 0.390836 \tabularnewline
55 & NA & NA & NA \tabularnewline
56 & NA & NA & NA \tabularnewline
57 & NA & NA & NA \tabularnewline
58 & NA & NA & NA \tabularnewline
59 & NA & NA & NA \tabularnewline
60 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=105573&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]0.407985[/C][C]3.0257[/C][C]0.001884[/C][/ROW]
[ROW][C]2[/C][C]0.229084[/C][C]1.6989[/C][C]0.047492[/C][/ROW]
[ROW][C]3[/C][C]0.158696[/C][C]1.1769[/C][C]0.122147[/C][/ROW]
[ROW][C]4[/C][C]-0.247625[/C][C]-1.8364[/C][C]0.03585[/C][/ROW]
[ROW][C]5[/C][C]-0.07188[/C][C]-0.5331[/C][C]0.298064[/C][/ROW]
[ROW][C]6[/C][C]0.168345[/C][C]1.2485[/C][C]0.108572[/C][/ROW]
[ROW][C]7[/C][C]0.128571[/C][C]0.9535[/C][C]0.172252[/C][/ROW]
[ROW][C]8[/C][C]-0.122533[/C][C]-0.9087[/C][C]0.183729[/C][/ROW]
[ROW][C]9[/C][C]-0.155193[/C][C]-1.1509[/C][C]0.127368[/C][/ROW]
[ROW][C]10[/C][C]0.017773[/C][C]0.1318[/C][C]0.447808[/C][/ROW]
[ROW][C]11[/C][C]-0.123434[/C][C]-0.9154[/C][C]0.181987[/C][/ROW]
[ROW][C]12[/C][C]0.102674[/C][C]0.7615[/C][C]0.22482[/C][/ROW]
[ROW][C]13[/C][C]-0.116863[/C][C]-0.8667[/C][C]0.194941[/C][/ROW]
[ROW][C]14[/C][C]-0.015145[/C][C]-0.1123[/C][C]0.45549[/C][/ROW]
[ROW][C]15[/C][C]-0.14626[/C][C]-1.0847[/C][C]0.141394[/C][/ROW]
[ROW][C]16[/C][C]0.064566[/C][C]0.4788[/C][C]0.316978[/C][/ROW]
[ROW][C]17[/C][C]0.041935[/C][C]0.311[/C][C]0.378489[/C][/ROW]
[ROW][C]18[/C][C]-0.068142[/C][C]-0.5054[/C][C]0.307663[/C][/ROW]
[ROW][C]19[/C][C]-0.060879[/C][C]-0.4515[/C][C]0.326706[/C][/ROW]
[ROW][C]20[/C][C]-0.174745[/C][C]-1.2959[/C][C]0.100203[/C][/ROW]
[ROW][C]21[/C][C]-0.0496[/C][C]-0.3678[/C][C]0.357202[/C][/ROW]
[ROW][C]22[/C][C]0.027728[/C][C]0.2056[/C][C]0.418916[/C][/ROW]
[ROW][C]23[/C][C]-0.025543[/C][C]-0.1894[/C][C]0.425226[/C][/ROW]
[ROW][C]24[/C][C]0.014301[/C][C]0.1061[/C][C]0.45796[/C][/ROW]
[ROW][C]25[/C][C]-0.19764[/C][C]-1.4657[/C][C]0.074207[/C][/ROW]
[ROW][C]26[/C][C]0.110758[/C][C]0.8214[/C][C]0.207481[/C][/ROW]
[ROW][C]27[/C][C]0.072799[/C][C]0.5399[/C][C]0.295725[/C][/ROW]
[ROW][C]28[/C][C]-0.001565[/C][C]-0.0116[/C][C]0.495391[/C][/ROW]
[ROW][C]29[/C][C]-0.041869[/C][C]-0.3105[/C][C]0.378673[/C][/ROW]
[ROW][C]30[/C][C]0.016261[/C][C]0.1206[/C][C]0.452227[/C][/ROW]
[ROW][C]31[/C][C]-0.08226[/C][C]-0.6101[/C][C]0.272169[/C][/ROW]
[ROW][C]32[/C][C]0.02286[/C][C]0.1695[/C][C]0.433[/C][/ROW]
[ROW][C]33[/C][C]-0.062897[/C][C]-0.4665[/C][C]0.321364[/C][/ROW]
[ROW][C]34[/C][C]-0.07229[/C][C]-0.5361[/C][C]0.297019[/C][/ROW]
[ROW][C]35[/C][C]-0.039871[/C][C]-0.2957[/C][C]0.38429[/C][/ROW]
[ROW][C]36[/C][C]-0.099636[/C][C]-0.7389[/C][C]0.231548[/C][/ROW]
[ROW][C]37[/C][C]0.119945[/C][C]0.8895[/C][C]0.188795[/C][/ROW]
[ROW][C]38[/C][C]0.004085[/C][C]0.0303[/C][C]0.48797[/C][/ROW]
[ROW][C]39[/C][C]-0.067216[/C][C]-0.4985[/C][C]0.310064[/C][/ROW]
[ROW][C]40[/C][C]-0.025298[/C][C]-0.1876[/C][C]0.425934[/C][/ROW]
[ROW][C]41[/C][C]0.008228[/C][C]0.061[/C][C]0.475782[/C][/ROW]
[ROW][C]42[/C][C]0.003627[/C][C]0.0269[/C][C]0.489319[/C][/ROW]
[ROW][C]43[/C][C]-0.051929[/C][C]-0.3851[/C][C]0.35082[/C][/ROW]
[ROW][C]44[/C][C]-0.060597[/C][C]-0.4494[/C][C]0.327454[/C][/ROW]
[ROW][C]45[/C][C]-0.002781[/C][C]-0.0206[/C][C]0.491811[/C][/ROW]
[ROW][C]46[/C][C]-0.001324[/C][C]-0.0098[/C][C]0.496102[/C][/ROW]
[ROW][C]47[/C][C]-0.01511[/C][C]-0.1121[/C][C]0.455592[/C][/ROW]
[ROW][C]48[/C][C]-0.068134[/C][C]-0.5053[/C][C]0.307686[/C][/ROW]
[ROW][C]49[/C][C]0.025169[/C][C]0.1867[/C][C]0.426307[/C][/ROW]
[ROW][C]50[/C][C]0.005732[/C][C]0.0425[/C][C]0.483124[/C][/ROW]
[ROW][C]51[/C][C]0.025425[/C][C]0.1886[/C][C]0.425568[/C][/ROW]
[ROW][C]52[/C][C]-0.041708[/C][C]-0.3093[/C][C]0.379125[/C][/ROW]
[ROW][C]53[/C][C]-0.003955[/C][C]-0.0293[/C][C]0.488354[/C][/ROW]
[ROW][C]54[/C][C]-0.037553[/C][C]-0.2785[/C][C]0.390836[/C][/ROW]
[ROW][C]55[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]56[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]57[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]58[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]59[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]60[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=105573&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=105573&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
10.4079853.02570.001884
20.2290841.69890.047492
30.1586961.17690.122147
4-0.247625-1.83640.03585
5-0.07188-0.53310.298064
60.1683451.24850.108572
70.1285710.95350.172252
8-0.122533-0.90870.183729
9-0.155193-1.15090.127368
100.0177730.13180.447808
11-0.123434-0.91540.181987
120.1026740.76150.22482
13-0.116863-0.86670.194941
14-0.015145-0.11230.45549
15-0.14626-1.08470.141394
160.0645660.47880.316978
170.0419350.3110.378489
18-0.068142-0.50540.307663
19-0.060879-0.45150.326706
20-0.174745-1.29590.100203
21-0.0496-0.36780.357202
220.0277280.20560.418916
23-0.025543-0.18940.425226
240.0143010.10610.45796
25-0.19764-1.46570.074207
260.1107580.82140.207481
270.0727990.53990.295725
28-0.001565-0.01160.495391
29-0.041869-0.31050.378673
300.0162610.12060.452227
31-0.08226-0.61010.272169
320.022860.16950.433
33-0.062897-0.46650.321364
34-0.07229-0.53610.297019
35-0.039871-0.29570.38429
36-0.099636-0.73890.231548
370.1199450.88950.188795
380.0040850.03030.48797
39-0.067216-0.49850.310064
40-0.025298-0.18760.425934
410.0082280.0610.475782
420.0036270.02690.489319
43-0.051929-0.38510.35082
44-0.060597-0.44940.327454
45-0.002781-0.02060.491811
46-0.001324-0.00980.496102
47-0.01511-0.11210.455592
48-0.068134-0.50530.307686
490.0251690.18670.426307
500.0057320.04250.483124
510.0254250.18860.425568
52-0.041708-0.30930.379125
53-0.003955-0.02930.488354
54-0.037553-0.27850.390836
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA
60NANANA



Parameters (Session):
par1 = 60 ; par2 = 1 ; par3 = 1 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ;
Parameters (R input):
par1 = 60 ; par2 = 1 ; par3 = 1 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ; par7 = ;
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')