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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationThu, 13 Dec 2007 13:51:58 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2007/Dec/13/t11975782337ptfcgdm2ndlp3b.htm/, Retrieved Sun, 05 May 2024 10:49:10 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=3721, Retrieved Sun, 05 May 2024 10:49:10 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsLise Swinnen Diesel
Estimated Impact209
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [paper - diesel (v...] [2007-12-13 20:51:58] [a526d213baffe7453818dd375c9a7100] [Current]
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Dataseries X:
0,76
0,77
0,76
0,77
0,78
0,79
0,78
0,76
0,78
0,76
0,74
0,73
0,72
0,71
0,73
0,75
0,75
0,72
0,72
0,72
0,74
0,78
0,74
0,74
0,75
0,78
0,81
0,75
0,7
0,71
0,71
0,73
0,74
0,74
0,75
0,74
0,74
0,73
0,76
0,8
0,83
0,81
0,83
0,88
0,89
0,93
0,91
0,9
0,86
0,88
0,93
0,98
0,97
1,03
1,06
1,06
1,08
1,09
1,04
1




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=3721&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=3721&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=3721&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
017.68110
10.1864761.43240.07866
2-0.165099-1.26810.895137
3-0.174013-1.33660.906761
4-0.0626-0.48080.683797
50.134751.0350.152439
60.0916670.70410.242068
7-0.053649-0.41210.659115
8-0.125515-0.96410.830534
9-0.111763-0.85850.802945
100.1283270.98570.164152
110.2171741.66810.050293
12-0.057395-0.44090.669536
130.0406360.31210.378022
14-0.029415-0.22590.588986
15-0.069989-0.53760.703561
16-0.161605-1.24130.890299
170.0201190.15450.438857
180.1214950.93320.177255
190.0750560.57650.283229
200.0415110.31890.375483
21-0.0177-0.1360.55384
22-0.090477-0.6950.755099
23-0.18014-1.38370.914166
240.0863420.66320.254892
250.0529610.40680.342813
26-0.091703-0.70440.758018
27-0.153477-1.17890.878411
28-0.050895-0.39090.651373
29-0.015696-0.12060.547777
300.1273330.97810.166018
310.1020530.78390.218123
32-0.045427-0.34890.635808
33-0.15823-1.21540.88547
34-0.10629-0.81640.791229
350.0778210.59780.276146
360.0265030.20360.419693
37-0.001299-0.010.503963
38-0.068592-0.52690.699868
390.0202470.15550.438471
40-0.052094-0.40010.654751
410.0009510.00730.497097
420.0347010.26650.395375
43-0.083062-0.6380.737034
44-0.117207-0.90030.814185
450.0006650.00510.49797
460.0377250.28980.386505
47-0.009838-0.07560.529989

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 7.6811 & 0 \tabularnewline
1 & 0.186476 & 1.4324 & 0.07866 \tabularnewline
2 & -0.165099 & -1.2681 & 0.895137 \tabularnewline
3 & -0.174013 & -1.3366 & 0.906761 \tabularnewline
4 & -0.0626 & -0.4808 & 0.683797 \tabularnewline
5 & 0.13475 & 1.035 & 0.152439 \tabularnewline
6 & 0.091667 & 0.7041 & 0.242068 \tabularnewline
7 & -0.053649 & -0.4121 & 0.659115 \tabularnewline
8 & -0.125515 & -0.9641 & 0.830534 \tabularnewline
9 & -0.111763 & -0.8585 & 0.802945 \tabularnewline
10 & 0.128327 & 0.9857 & 0.164152 \tabularnewline
11 & 0.217174 & 1.6681 & 0.050293 \tabularnewline
12 & -0.057395 & -0.4409 & 0.669536 \tabularnewline
13 & 0.040636 & 0.3121 & 0.378022 \tabularnewline
14 & -0.029415 & -0.2259 & 0.588986 \tabularnewline
15 & -0.069989 & -0.5376 & 0.703561 \tabularnewline
16 & -0.161605 & -1.2413 & 0.890299 \tabularnewline
17 & 0.020119 & 0.1545 & 0.438857 \tabularnewline
18 & 0.121495 & 0.9332 & 0.177255 \tabularnewline
19 & 0.075056 & 0.5765 & 0.283229 \tabularnewline
20 & 0.041511 & 0.3189 & 0.375483 \tabularnewline
21 & -0.0177 & -0.136 & 0.55384 \tabularnewline
22 & -0.090477 & -0.695 & 0.755099 \tabularnewline
23 & -0.18014 & -1.3837 & 0.914166 \tabularnewline
24 & 0.086342 & 0.6632 & 0.254892 \tabularnewline
25 & 0.052961 & 0.4068 & 0.342813 \tabularnewline
26 & -0.091703 & -0.7044 & 0.758018 \tabularnewline
27 & -0.153477 & -1.1789 & 0.878411 \tabularnewline
28 & -0.050895 & -0.3909 & 0.651373 \tabularnewline
29 & -0.015696 & -0.1206 & 0.547777 \tabularnewline
30 & 0.127333 & 0.9781 & 0.166018 \tabularnewline
31 & 0.102053 & 0.7839 & 0.218123 \tabularnewline
32 & -0.045427 & -0.3489 & 0.635808 \tabularnewline
33 & -0.15823 & -1.2154 & 0.88547 \tabularnewline
34 & -0.10629 & -0.8164 & 0.791229 \tabularnewline
35 & 0.077821 & 0.5978 & 0.276146 \tabularnewline
36 & 0.026503 & 0.2036 & 0.419693 \tabularnewline
37 & -0.001299 & -0.01 & 0.503963 \tabularnewline
38 & -0.068592 & -0.5269 & 0.699868 \tabularnewline
39 & 0.020247 & 0.1555 & 0.438471 \tabularnewline
40 & -0.052094 & -0.4001 & 0.654751 \tabularnewline
41 & 0.000951 & 0.0073 & 0.497097 \tabularnewline
42 & 0.034701 & 0.2665 & 0.395375 \tabularnewline
43 & -0.083062 & -0.638 & 0.737034 \tabularnewline
44 & -0.117207 & -0.9003 & 0.814185 \tabularnewline
45 & 0.000665 & 0.0051 & 0.49797 \tabularnewline
46 & 0.037725 & 0.2898 & 0.386505 \tabularnewline
47 & -0.009838 & -0.0756 & 0.529989 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=3721&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]7.6811[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]0.186476[/C][C]1.4324[/C][C]0.07866[/C][/ROW]
[ROW][C]2[/C][C]-0.165099[/C][C]-1.2681[/C][C]0.895137[/C][/ROW]
[ROW][C]3[/C][C]-0.174013[/C][C]-1.3366[/C][C]0.906761[/C][/ROW]
[ROW][C]4[/C][C]-0.0626[/C][C]-0.4808[/C][C]0.683797[/C][/ROW]
[ROW][C]5[/C][C]0.13475[/C][C]1.035[/C][C]0.152439[/C][/ROW]
[ROW][C]6[/C][C]0.091667[/C][C]0.7041[/C][C]0.242068[/C][/ROW]
[ROW][C]7[/C][C]-0.053649[/C][C]-0.4121[/C][C]0.659115[/C][/ROW]
[ROW][C]8[/C][C]-0.125515[/C][C]-0.9641[/C][C]0.830534[/C][/ROW]
[ROW][C]9[/C][C]-0.111763[/C][C]-0.8585[/C][C]0.802945[/C][/ROW]
[ROW][C]10[/C][C]0.128327[/C][C]0.9857[/C][C]0.164152[/C][/ROW]
[ROW][C]11[/C][C]0.217174[/C][C]1.6681[/C][C]0.050293[/C][/ROW]
[ROW][C]12[/C][C]-0.057395[/C][C]-0.4409[/C][C]0.669536[/C][/ROW]
[ROW][C]13[/C][C]0.040636[/C][C]0.3121[/C][C]0.378022[/C][/ROW]
[ROW][C]14[/C][C]-0.029415[/C][C]-0.2259[/C][C]0.588986[/C][/ROW]
[ROW][C]15[/C][C]-0.069989[/C][C]-0.5376[/C][C]0.703561[/C][/ROW]
[ROW][C]16[/C][C]-0.161605[/C][C]-1.2413[/C][C]0.890299[/C][/ROW]
[ROW][C]17[/C][C]0.020119[/C][C]0.1545[/C][C]0.438857[/C][/ROW]
[ROW][C]18[/C][C]0.121495[/C][C]0.9332[/C][C]0.177255[/C][/ROW]
[ROW][C]19[/C][C]0.075056[/C][C]0.5765[/C][C]0.283229[/C][/ROW]
[ROW][C]20[/C][C]0.041511[/C][C]0.3189[/C][C]0.375483[/C][/ROW]
[ROW][C]21[/C][C]-0.0177[/C][C]-0.136[/C][C]0.55384[/C][/ROW]
[ROW][C]22[/C][C]-0.090477[/C][C]-0.695[/C][C]0.755099[/C][/ROW]
[ROW][C]23[/C][C]-0.18014[/C][C]-1.3837[/C][C]0.914166[/C][/ROW]
[ROW][C]24[/C][C]0.086342[/C][C]0.6632[/C][C]0.254892[/C][/ROW]
[ROW][C]25[/C][C]0.052961[/C][C]0.4068[/C][C]0.342813[/C][/ROW]
[ROW][C]26[/C][C]-0.091703[/C][C]-0.7044[/C][C]0.758018[/C][/ROW]
[ROW][C]27[/C][C]-0.153477[/C][C]-1.1789[/C][C]0.878411[/C][/ROW]
[ROW][C]28[/C][C]-0.050895[/C][C]-0.3909[/C][C]0.651373[/C][/ROW]
[ROW][C]29[/C][C]-0.015696[/C][C]-0.1206[/C][C]0.547777[/C][/ROW]
[ROW][C]30[/C][C]0.127333[/C][C]0.9781[/C][C]0.166018[/C][/ROW]
[ROW][C]31[/C][C]0.102053[/C][C]0.7839[/C][C]0.218123[/C][/ROW]
[ROW][C]32[/C][C]-0.045427[/C][C]-0.3489[/C][C]0.635808[/C][/ROW]
[ROW][C]33[/C][C]-0.15823[/C][C]-1.2154[/C][C]0.88547[/C][/ROW]
[ROW][C]34[/C][C]-0.10629[/C][C]-0.8164[/C][C]0.791229[/C][/ROW]
[ROW][C]35[/C][C]0.077821[/C][C]0.5978[/C][C]0.276146[/C][/ROW]
[ROW][C]36[/C][C]0.026503[/C][C]0.2036[/C][C]0.419693[/C][/ROW]
[ROW][C]37[/C][C]-0.001299[/C][C]-0.01[/C][C]0.503963[/C][/ROW]
[ROW][C]38[/C][C]-0.068592[/C][C]-0.5269[/C][C]0.699868[/C][/ROW]
[ROW][C]39[/C][C]0.020247[/C][C]0.1555[/C][C]0.438471[/C][/ROW]
[ROW][C]40[/C][C]-0.052094[/C][C]-0.4001[/C][C]0.654751[/C][/ROW]
[ROW][C]41[/C][C]0.000951[/C][C]0.0073[/C][C]0.497097[/C][/ROW]
[ROW][C]42[/C][C]0.034701[/C][C]0.2665[/C][C]0.395375[/C][/ROW]
[ROW][C]43[/C][C]-0.083062[/C][C]-0.638[/C][C]0.737034[/C][/ROW]
[ROW][C]44[/C][C]-0.117207[/C][C]-0.9003[/C][C]0.814185[/C][/ROW]
[ROW][C]45[/C][C]0.000665[/C][C]0.0051[/C][C]0.49797[/C][/ROW]
[ROW][C]46[/C][C]0.037725[/C][C]0.2898[/C][C]0.386505[/C][/ROW]
[ROW][C]47[/C][C]-0.009838[/C][C]-0.0756[/C][C]0.529989[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=3721&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=3721&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
017.68110
10.1864761.43240.07866
2-0.165099-1.26810.895137
3-0.174013-1.33660.906761
4-0.0626-0.48080.683797
50.134751.0350.152439
60.0916670.70410.242068
7-0.053649-0.41210.659115
8-0.125515-0.96410.830534
9-0.111763-0.85850.802945
100.1283270.98570.164152
110.2171741.66810.050293
12-0.057395-0.44090.669536
130.0406360.31210.378022
14-0.029415-0.22590.588986
15-0.069989-0.53760.703561
16-0.161605-1.24130.890299
170.0201190.15450.438857
180.1214950.93320.177255
190.0750560.57650.283229
200.0415110.31890.375483
21-0.0177-0.1360.55384
22-0.090477-0.6950.755099
23-0.18014-1.38370.914166
240.0863420.66320.254892
250.0529610.40680.342813
26-0.091703-0.70440.758018
27-0.153477-1.17890.878411
28-0.050895-0.39090.651373
29-0.015696-0.12060.547777
300.1273330.97810.166018
310.1020530.78390.218123
32-0.045427-0.34890.635808
33-0.15823-1.21540.88547
34-0.10629-0.81640.791229
350.0778210.59780.276146
360.0265030.20360.419693
37-0.001299-0.010.503963
38-0.068592-0.52690.699868
390.0202470.15550.438471
40-0.052094-0.40010.654751
410.0009510.00730.497097
420.0347010.26650.395375
43-0.083062-0.6380.737034
44-0.117207-0.90030.814185
450.0006650.00510.49797
460.0377250.28980.386505
47-0.009838-0.07560.529989







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
00.1864761.43240.07866
1-0.207073-1.59060.941473
2-0.106335-0.81680.791329
3-0.041242-0.31680.623738
40.1157250.88890.188833
50.0084830.06520.474133
6-0.051691-0.3970.653617
7-0.06841-0.52550.699385
8-0.073736-0.56640.713356
90.1280720.98370.16463
100.1187070.91180.182791
11-0.120592-0.92630.820964
120.1846921.41860.080632
13-0.031963-0.24550.596545
14-0.065584-0.50380.691848
15-0.221732-1.70320.953099
160.1143770.87850.191605
170.0553810.42540.336051
180.0496050.3810.352278
190.0663090.50930.306211
20-0.001033-0.00790.503153
21-0.060213-0.46250.67729
22-0.230997-1.77430.959415
230.0722720.55510.290451
24-0.035195-0.27030.606077
25-0.050009-0.38410.648866
26-0.039492-0.30330.618653
27-0.035587-0.27340.607232
28-0.05254-0.40360.656005
290.03410.26190.397144
30-0.006184-0.04750.518862
31-0.078079-0.59970.72451
32-0.015348-0.11790.546722
330.015980.12270.451364
34-0.035-0.26880.605504
350.0016590.01270.494937
360.0018760.01440.494274
37-0.067064-0.51510.695805
380.0366210.28130.389735
39-0.052966-0.40680.657202
40-0.026465-0.20330.580192
41-0.004335-0.03330.513224
42-0.10158-0.78030.780819
43-0.08699-0.66820.746688
440.0217310.16690.434002
450.0237910.18270.427813
46-0.009549-0.07330.529111
470.0147080.1130.455218

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & 0.186476 & 1.4324 & 0.07866 \tabularnewline
1 & -0.207073 & -1.5906 & 0.941473 \tabularnewline
2 & -0.106335 & -0.8168 & 0.791329 \tabularnewline
3 & -0.041242 & -0.3168 & 0.623738 \tabularnewline
4 & 0.115725 & 0.8889 & 0.188833 \tabularnewline
5 & 0.008483 & 0.0652 & 0.474133 \tabularnewline
6 & -0.051691 & -0.397 & 0.653617 \tabularnewline
7 & -0.06841 & -0.5255 & 0.699385 \tabularnewline
8 & -0.073736 & -0.5664 & 0.713356 \tabularnewline
9 & 0.128072 & 0.9837 & 0.16463 \tabularnewline
10 & 0.118707 & 0.9118 & 0.182791 \tabularnewline
11 & -0.120592 & -0.9263 & 0.820964 \tabularnewline
12 & 0.184692 & 1.4186 & 0.080632 \tabularnewline
13 & -0.031963 & -0.2455 & 0.596545 \tabularnewline
14 & -0.065584 & -0.5038 & 0.691848 \tabularnewline
15 & -0.221732 & -1.7032 & 0.953099 \tabularnewline
16 & 0.114377 & 0.8785 & 0.191605 \tabularnewline
17 & 0.055381 & 0.4254 & 0.336051 \tabularnewline
18 & 0.049605 & 0.381 & 0.352278 \tabularnewline
19 & 0.066309 & 0.5093 & 0.306211 \tabularnewline
20 & -0.001033 & -0.0079 & 0.503153 \tabularnewline
21 & -0.060213 & -0.4625 & 0.67729 \tabularnewline
22 & -0.230997 & -1.7743 & 0.959415 \tabularnewline
23 & 0.072272 & 0.5551 & 0.290451 \tabularnewline
24 & -0.035195 & -0.2703 & 0.606077 \tabularnewline
25 & -0.050009 & -0.3841 & 0.648866 \tabularnewline
26 & -0.039492 & -0.3033 & 0.618653 \tabularnewline
27 & -0.035587 & -0.2734 & 0.607232 \tabularnewline
28 & -0.05254 & -0.4036 & 0.656005 \tabularnewline
29 & 0.0341 & 0.2619 & 0.397144 \tabularnewline
30 & -0.006184 & -0.0475 & 0.518862 \tabularnewline
31 & -0.078079 & -0.5997 & 0.72451 \tabularnewline
32 & -0.015348 & -0.1179 & 0.546722 \tabularnewline
33 & 0.01598 & 0.1227 & 0.451364 \tabularnewline
34 & -0.035 & -0.2688 & 0.605504 \tabularnewline
35 & 0.001659 & 0.0127 & 0.494937 \tabularnewline
36 & 0.001876 & 0.0144 & 0.494274 \tabularnewline
37 & -0.067064 & -0.5151 & 0.695805 \tabularnewline
38 & 0.036621 & 0.2813 & 0.389735 \tabularnewline
39 & -0.052966 & -0.4068 & 0.657202 \tabularnewline
40 & -0.026465 & -0.2033 & 0.580192 \tabularnewline
41 & -0.004335 & -0.0333 & 0.513224 \tabularnewline
42 & -0.10158 & -0.7803 & 0.780819 \tabularnewline
43 & -0.08699 & -0.6682 & 0.746688 \tabularnewline
44 & 0.021731 & 0.1669 & 0.434002 \tabularnewline
45 & 0.023791 & 0.1827 & 0.427813 \tabularnewline
46 & -0.009549 & -0.0733 & 0.529111 \tabularnewline
47 & 0.014708 & 0.113 & 0.455218 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=3721&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]0.186476[/C][C]1.4324[/C][C]0.07866[/C][/ROW]
[ROW][C]1[/C][C]-0.207073[/C][C]-1.5906[/C][C]0.941473[/C][/ROW]
[ROW][C]2[/C][C]-0.106335[/C][C]-0.8168[/C][C]0.791329[/C][/ROW]
[ROW][C]3[/C][C]-0.041242[/C][C]-0.3168[/C][C]0.623738[/C][/ROW]
[ROW][C]4[/C][C]0.115725[/C][C]0.8889[/C][C]0.188833[/C][/ROW]
[ROW][C]5[/C][C]0.008483[/C][C]0.0652[/C][C]0.474133[/C][/ROW]
[ROW][C]6[/C][C]-0.051691[/C][C]-0.397[/C][C]0.653617[/C][/ROW]
[ROW][C]7[/C][C]-0.06841[/C][C]-0.5255[/C][C]0.699385[/C][/ROW]
[ROW][C]8[/C][C]-0.073736[/C][C]-0.5664[/C][C]0.713356[/C][/ROW]
[ROW][C]9[/C][C]0.128072[/C][C]0.9837[/C][C]0.16463[/C][/ROW]
[ROW][C]10[/C][C]0.118707[/C][C]0.9118[/C][C]0.182791[/C][/ROW]
[ROW][C]11[/C][C]-0.120592[/C][C]-0.9263[/C][C]0.820964[/C][/ROW]
[ROW][C]12[/C][C]0.184692[/C][C]1.4186[/C][C]0.080632[/C][/ROW]
[ROW][C]13[/C][C]-0.031963[/C][C]-0.2455[/C][C]0.596545[/C][/ROW]
[ROW][C]14[/C][C]-0.065584[/C][C]-0.5038[/C][C]0.691848[/C][/ROW]
[ROW][C]15[/C][C]-0.221732[/C][C]-1.7032[/C][C]0.953099[/C][/ROW]
[ROW][C]16[/C][C]0.114377[/C][C]0.8785[/C][C]0.191605[/C][/ROW]
[ROW][C]17[/C][C]0.055381[/C][C]0.4254[/C][C]0.336051[/C][/ROW]
[ROW][C]18[/C][C]0.049605[/C][C]0.381[/C][C]0.352278[/C][/ROW]
[ROW][C]19[/C][C]0.066309[/C][C]0.5093[/C][C]0.306211[/C][/ROW]
[ROW][C]20[/C][C]-0.001033[/C][C]-0.0079[/C][C]0.503153[/C][/ROW]
[ROW][C]21[/C][C]-0.060213[/C][C]-0.4625[/C][C]0.67729[/C][/ROW]
[ROW][C]22[/C][C]-0.230997[/C][C]-1.7743[/C][C]0.959415[/C][/ROW]
[ROW][C]23[/C][C]0.072272[/C][C]0.5551[/C][C]0.290451[/C][/ROW]
[ROW][C]24[/C][C]-0.035195[/C][C]-0.2703[/C][C]0.606077[/C][/ROW]
[ROW][C]25[/C][C]-0.050009[/C][C]-0.3841[/C][C]0.648866[/C][/ROW]
[ROW][C]26[/C][C]-0.039492[/C][C]-0.3033[/C][C]0.618653[/C][/ROW]
[ROW][C]27[/C][C]-0.035587[/C][C]-0.2734[/C][C]0.607232[/C][/ROW]
[ROW][C]28[/C][C]-0.05254[/C][C]-0.4036[/C][C]0.656005[/C][/ROW]
[ROW][C]29[/C][C]0.0341[/C][C]0.2619[/C][C]0.397144[/C][/ROW]
[ROW][C]30[/C][C]-0.006184[/C][C]-0.0475[/C][C]0.518862[/C][/ROW]
[ROW][C]31[/C][C]-0.078079[/C][C]-0.5997[/C][C]0.72451[/C][/ROW]
[ROW][C]32[/C][C]-0.015348[/C][C]-0.1179[/C][C]0.546722[/C][/ROW]
[ROW][C]33[/C][C]0.01598[/C][C]0.1227[/C][C]0.451364[/C][/ROW]
[ROW][C]34[/C][C]-0.035[/C][C]-0.2688[/C][C]0.605504[/C][/ROW]
[ROW][C]35[/C][C]0.001659[/C][C]0.0127[/C][C]0.494937[/C][/ROW]
[ROW][C]36[/C][C]0.001876[/C][C]0.0144[/C][C]0.494274[/C][/ROW]
[ROW][C]37[/C][C]-0.067064[/C][C]-0.5151[/C][C]0.695805[/C][/ROW]
[ROW][C]38[/C][C]0.036621[/C][C]0.2813[/C][C]0.389735[/C][/ROW]
[ROW][C]39[/C][C]-0.052966[/C][C]-0.4068[/C][C]0.657202[/C][/ROW]
[ROW][C]40[/C][C]-0.026465[/C][C]-0.2033[/C][C]0.580192[/C][/ROW]
[ROW][C]41[/C][C]-0.004335[/C][C]-0.0333[/C][C]0.513224[/C][/ROW]
[ROW][C]42[/C][C]-0.10158[/C][C]-0.7803[/C][C]0.780819[/C][/ROW]
[ROW][C]43[/C][C]-0.08699[/C][C]-0.6682[/C][C]0.746688[/C][/ROW]
[ROW][C]44[/C][C]0.021731[/C][C]0.1669[/C][C]0.434002[/C][/ROW]
[ROW][C]45[/C][C]0.023791[/C][C]0.1827[/C][C]0.427813[/C][/ROW]
[ROW][C]46[/C][C]-0.009549[/C][C]-0.0733[/C][C]0.529111[/C][/ROW]
[ROW][C]47[/C][C]0.014708[/C][C]0.113[/C][C]0.455218[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=3721&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=3721&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
00.1864761.43240.07866
1-0.207073-1.59060.941473
2-0.106335-0.81680.791329
3-0.041242-0.31680.623738
40.1157250.88890.188833
50.0084830.06520.474133
6-0.051691-0.3970.653617
7-0.06841-0.52550.699385
8-0.073736-0.56640.713356
90.1280720.98370.16463
100.1187070.91180.182791
11-0.120592-0.92630.820964
120.1846921.41860.080632
13-0.031963-0.24550.596545
14-0.065584-0.50380.691848
15-0.221732-1.70320.953099
160.1143770.87850.191605
170.0553810.42540.336051
180.0496050.3810.352278
190.0663090.50930.306211
20-0.001033-0.00790.503153
21-0.060213-0.46250.67729
22-0.230997-1.77430.959415
230.0722720.55510.290451
24-0.035195-0.27030.606077
25-0.050009-0.38410.648866
26-0.039492-0.30330.618653
27-0.035587-0.27340.607232
28-0.05254-0.40360.656005
290.03410.26190.397144
30-0.006184-0.04750.518862
31-0.078079-0.59970.72451
32-0.015348-0.11790.546722
330.015980.12270.451364
34-0.035-0.26880.605504
350.0016590.01270.494937
360.0018760.01440.494274
37-0.067064-0.51510.695805
380.0366210.28130.389735
39-0.052966-0.40680.657202
40-0.026465-0.20330.580192
41-0.004335-0.03330.513224
42-0.10158-0.78030.780819
43-0.08699-0.66820.746688
440.0217310.16690.434002
450.0237910.18270.427813
46-0.009549-0.07330.529111
470.0147080.1130.455218



Parameters (Session):
par1 = 12 ;
Parameters (R input):
par1 = 48 ; par2 = -0.4 ; 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 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')