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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationFri, 12 Dec 2008 05:54:39 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Dec/12/t12290865848nnvsh36243x0g6.htm/, Retrieved Sun, 19 May 2024 05:38:11 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=32654, Retrieved Sun, 19 May 2024 05:38:11 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact188
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [Univariate Data Series] [Paper - werkloosh...] [2008-12-11 13:38:22] [46c5a5fbda57fdfa1d4ef48658f82a0c]
- RMP     [(Partial) Autocorrelation Function] [Paper - werkloosh...] [2008-12-12 12:54:39] [b23db733701c4d62df5e228d507c1c6a] [Current]
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Dataseries X:
51.220
50.487
49.415
49.398
48.196
47.348
49.331
49.644
49.588
49.567
49.010
49.563
49.741
49.487
48.278
47.478
46.985
45.216
46.581
49.266
48.121
46.412
46.285
46.824
46.949
45.355
44.924
45.059
44.202
44.149
46.151
47.703
48.436
47.089
47.492
49.295
49.127
50.041
48.857
48.428
48.788
48.820
50.743
52.590
51.959
53.451
55.674
56.120
55.685
56.714
54.882
55.173
53.574
53.954
58.055
61.062
58.353
59.693
58.833
60.417
61.696
62.515
62.687
61.794
63.014
63.134
68.057
67.327
68.310
69.780
69.944
69.881
71.397
70.631
70.452
69.862
69.114
69.358
71.133
73.128
73.528
73.677
72.273
71.962
73.654
73.305
73.355
73.346
72.881
72.424
74.540
74.847
75.904
76.870
76.370
77.631
78.335
77.926
77.236
76.755
74.710
73.486
76.034
76.389
77.767
78.124
76.696
77.375
77.431
77.347
77.013
76.666
75.225
75.579
77.100
78.592
79.502
78.528
77.775
77.271
78.738
77.885
76.896
75.813
74.958
75.340
77.187
78.602
81.653
78.125
76.092
74.870
75.615
74.776
72.528
71.894
71.641
71.145
73.320
72.186
72.854
74.243
74.628
72.368
75.361
72.746
70.536
69.410
66.219
66.739
67.626
70.602
71.758
71.786
69.641
68.055
70.148
69.390
68.562
68.622
68.120
68.308
70.421
69.766
72.157
72.928
75.340
74.812
74.593
76.003
75.112
75.452
75.634
75.653
78.645
73.100
79.699
82.848
81.834
81.736
82.267
84.120
83.819
82.734
81.842
81.735
83.227
81.934
89.521
88.827
85.874
85.211
87.130
88.620
89.563
89.056
88.542
89.504
89.428
86.040
96.240
94.423
93.028
92.285
91.685
94.260
93.858
92.437
92.980
92.099
92.803
88.551
98.334
98.329
96.455
97.109
97.687
98.512
98.673
96.028
98.014
95.580
97.838
97.760
99.913
97.588
93.942
93.656
93.365
92.881
93.120
91.063
90.930
91.946
94.624
95.484
95.862
95.530
94.574
94.677
93.845
91.533
91.214
90.922
89.563
89.945
91.850
92.505
92.437
93.876




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 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 & 3 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=32654&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]3 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=32654&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=32654&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 time3 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24







Autocorrelation Function
Time lag kACF(k)T-STATP-value
1-0.179795-2.76790.003044
2-0.052791-0.81270.2086
3-0.028774-0.4430.329094
4-0.105818-1.6290.052316
50.1319322.03110.021682
6-0.054874-0.84480.199546
70.0088190.13580.446061
80.0958031.47490.070788
9-0.084068-1.29420.098425
100.0813431.25230.105855
110.0444770.68470.247094
12-0.287959-4.43317e-06
13-0.037385-0.57550.282738
14-0.057462-0.88460.188632
150.2091313.21950.000732
160.0308870.47550.317434
17-0.038895-0.59880.274946
180.0904171.3920.08262
19-0.105257-1.62040.053236
200.087651.34940.089255
210.0093010.14320.443131
22-0.077049-1.18620.118375
230.0957441.4740.070911
24-0.098033-1.50920.066291
250.0787581.21250.113272
260.0498470.76740.22181
27-0.076552-1.17850.119889
280.0337110.5190.30213
29-0.01138-0.17520.430536
30-0.037481-0.5770.282242
310.05520.84980.19815
32-0.088465-1.36190.08726
330.0131830.2030.419673
34-0.03751-0.57750.282087
350.0697521.07380.141998
360.123761.90530.028978
37-0.193866-2.98450.001569
380.0229760.35370.361934
39-0.016807-0.25870.39803
40-0.045736-0.70410.24103
410.0700331.07810.141033
42-0.034261-0.52740.299189
430.0221040.34030.366972
44-0.051934-0.79950.212395
45-0.092548-1.42480.077771
460.150972.32420.010482
47-0.049164-0.75690.22494
48-0.154704-2.38160.009013
490.1111661.71140.04416
50-0.019513-0.30040.382068
510.0730211.12420.131043
52-0.038696-0.59570.275967
53-0.015961-0.24570.403058
540.0302420.46560.320977
55-0.142208-2.18930.014777
560.1876922.88950.002108
570.005050.07780.469046
58-0.015567-0.23960.405407
59-0.020685-0.31840.375213
60-0.161423-2.48510.006822

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & -0.179795 & -2.7679 & 0.003044 \tabularnewline
2 & -0.052791 & -0.8127 & 0.2086 \tabularnewline
3 & -0.028774 & -0.443 & 0.329094 \tabularnewline
4 & -0.105818 & -1.629 & 0.052316 \tabularnewline
5 & 0.131932 & 2.0311 & 0.021682 \tabularnewline
6 & -0.054874 & -0.8448 & 0.199546 \tabularnewline
7 & 0.008819 & 0.1358 & 0.446061 \tabularnewline
8 & 0.095803 & 1.4749 & 0.070788 \tabularnewline
9 & -0.084068 & -1.2942 & 0.098425 \tabularnewline
10 & 0.081343 & 1.2523 & 0.105855 \tabularnewline
11 & 0.044477 & 0.6847 & 0.247094 \tabularnewline
12 & -0.287959 & -4.4331 & 7e-06 \tabularnewline
13 & -0.037385 & -0.5755 & 0.282738 \tabularnewline
14 & -0.057462 & -0.8846 & 0.188632 \tabularnewline
15 & 0.209131 & 3.2195 & 0.000732 \tabularnewline
16 & 0.030887 & 0.4755 & 0.317434 \tabularnewline
17 & -0.038895 & -0.5988 & 0.274946 \tabularnewline
18 & 0.090417 & 1.392 & 0.08262 \tabularnewline
19 & -0.105257 & -1.6204 & 0.053236 \tabularnewline
20 & 0.08765 & 1.3494 & 0.089255 \tabularnewline
21 & 0.009301 & 0.1432 & 0.443131 \tabularnewline
22 & -0.077049 & -1.1862 & 0.118375 \tabularnewline
23 & 0.095744 & 1.474 & 0.070911 \tabularnewline
24 & -0.098033 & -1.5092 & 0.066291 \tabularnewline
25 & 0.078758 & 1.2125 & 0.113272 \tabularnewline
26 & 0.049847 & 0.7674 & 0.22181 \tabularnewline
27 & -0.076552 & -1.1785 & 0.119889 \tabularnewline
28 & 0.033711 & 0.519 & 0.30213 \tabularnewline
29 & -0.01138 & -0.1752 & 0.430536 \tabularnewline
30 & -0.037481 & -0.577 & 0.282242 \tabularnewline
31 & 0.0552 & 0.8498 & 0.19815 \tabularnewline
32 & -0.088465 & -1.3619 & 0.08726 \tabularnewline
33 & 0.013183 & 0.203 & 0.419673 \tabularnewline
34 & -0.03751 & -0.5775 & 0.282087 \tabularnewline
35 & 0.069752 & 1.0738 & 0.141998 \tabularnewline
36 & 0.12376 & 1.9053 & 0.028978 \tabularnewline
37 & -0.193866 & -2.9845 & 0.001569 \tabularnewline
38 & 0.022976 & 0.3537 & 0.361934 \tabularnewline
39 & -0.016807 & -0.2587 & 0.39803 \tabularnewline
40 & -0.045736 & -0.7041 & 0.24103 \tabularnewline
41 & 0.070033 & 1.0781 & 0.141033 \tabularnewline
42 & -0.034261 & -0.5274 & 0.299189 \tabularnewline
43 & 0.022104 & 0.3403 & 0.366972 \tabularnewline
44 & -0.051934 & -0.7995 & 0.212395 \tabularnewline
45 & -0.092548 & -1.4248 & 0.077771 \tabularnewline
46 & 0.15097 & 2.3242 & 0.010482 \tabularnewline
47 & -0.049164 & -0.7569 & 0.22494 \tabularnewline
48 & -0.154704 & -2.3816 & 0.009013 \tabularnewline
49 & 0.111166 & 1.7114 & 0.04416 \tabularnewline
50 & -0.019513 & -0.3004 & 0.382068 \tabularnewline
51 & 0.073021 & 1.1242 & 0.131043 \tabularnewline
52 & -0.038696 & -0.5957 & 0.275967 \tabularnewline
53 & -0.015961 & -0.2457 & 0.403058 \tabularnewline
54 & 0.030242 & 0.4656 & 0.320977 \tabularnewline
55 & -0.142208 & -2.1893 & 0.014777 \tabularnewline
56 & 0.187692 & 2.8895 & 0.002108 \tabularnewline
57 & 0.00505 & 0.0778 & 0.469046 \tabularnewline
58 & -0.015567 & -0.2396 & 0.405407 \tabularnewline
59 & -0.020685 & -0.3184 & 0.375213 \tabularnewline
60 & -0.161423 & -2.4851 & 0.006822 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=32654&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]-0.179795[/C][C]-2.7679[/C][C]0.003044[/C][/ROW]
[ROW][C]2[/C][C]-0.052791[/C][C]-0.8127[/C][C]0.2086[/C][/ROW]
[ROW][C]3[/C][C]-0.028774[/C][C]-0.443[/C][C]0.329094[/C][/ROW]
[ROW][C]4[/C][C]-0.105818[/C][C]-1.629[/C][C]0.052316[/C][/ROW]
[ROW][C]5[/C][C]0.131932[/C][C]2.0311[/C][C]0.021682[/C][/ROW]
[ROW][C]6[/C][C]-0.054874[/C][C]-0.8448[/C][C]0.199546[/C][/ROW]
[ROW][C]7[/C][C]0.008819[/C][C]0.1358[/C][C]0.446061[/C][/ROW]
[ROW][C]8[/C][C]0.095803[/C][C]1.4749[/C][C]0.070788[/C][/ROW]
[ROW][C]9[/C][C]-0.084068[/C][C]-1.2942[/C][C]0.098425[/C][/ROW]
[ROW][C]10[/C][C]0.081343[/C][C]1.2523[/C][C]0.105855[/C][/ROW]
[ROW][C]11[/C][C]0.044477[/C][C]0.6847[/C][C]0.247094[/C][/ROW]
[ROW][C]12[/C][C]-0.287959[/C][C]-4.4331[/C][C]7e-06[/C][/ROW]
[ROW][C]13[/C][C]-0.037385[/C][C]-0.5755[/C][C]0.282738[/C][/ROW]
[ROW][C]14[/C][C]-0.057462[/C][C]-0.8846[/C][C]0.188632[/C][/ROW]
[ROW][C]15[/C][C]0.209131[/C][C]3.2195[/C][C]0.000732[/C][/ROW]
[ROW][C]16[/C][C]0.030887[/C][C]0.4755[/C][C]0.317434[/C][/ROW]
[ROW][C]17[/C][C]-0.038895[/C][C]-0.5988[/C][C]0.274946[/C][/ROW]
[ROW][C]18[/C][C]0.090417[/C][C]1.392[/C][C]0.08262[/C][/ROW]
[ROW][C]19[/C][C]-0.105257[/C][C]-1.6204[/C][C]0.053236[/C][/ROW]
[ROW][C]20[/C][C]0.08765[/C][C]1.3494[/C][C]0.089255[/C][/ROW]
[ROW][C]21[/C][C]0.009301[/C][C]0.1432[/C][C]0.443131[/C][/ROW]
[ROW][C]22[/C][C]-0.077049[/C][C]-1.1862[/C][C]0.118375[/C][/ROW]
[ROW][C]23[/C][C]0.095744[/C][C]1.474[/C][C]0.070911[/C][/ROW]
[ROW][C]24[/C][C]-0.098033[/C][C]-1.5092[/C][C]0.066291[/C][/ROW]
[ROW][C]25[/C][C]0.078758[/C][C]1.2125[/C][C]0.113272[/C][/ROW]
[ROW][C]26[/C][C]0.049847[/C][C]0.7674[/C][C]0.22181[/C][/ROW]
[ROW][C]27[/C][C]-0.076552[/C][C]-1.1785[/C][C]0.119889[/C][/ROW]
[ROW][C]28[/C][C]0.033711[/C][C]0.519[/C][C]0.30213[/C][/ROW]
[ROW][C]29[/C][C]-0.01138[/C][C]-0.1752[/C][C]0.430536[/C][/ROW]
[ROW][C]30[/C][C]-0.037481[/C][C]-0.577[/C][C]0.282242[/C][/ROW]
[ROW][C]31[/C][C]0.0552[/C][C]0.8498[/C][C]0.19815[/C][/ROW]
[ROW][C]32[/C][C]-0.088465[/C][C]-1.3619[/C][C]0.08726[/C][/ROW]
[ROW][C]33[/C][C]0.013183[/C][C]0.203[/C][C]0.419673[/C][/ROW]
[ROW][C]34[/C][C]-0.03751[/C][C]-0.5775[/C][C]0.282087[/C][/ROW]
[ROW][C]35[/C][C]0.069752[/C][C]1.0738[/C][C]0.141998[/C][/ROW]
[ROW][C]36[/C][C]0.12376[/C][C]1.9053[/C][C]0.028978[/C][/ROW]
[ROW][C]37[/C][C]-0.193866[/C][C]-2.9845[/C][C]0.001569[/C][/ROW]
[ROW][C]38[/C][C]0.022976[/C][C]0.3537[/C][C]0.361934[/C][/ROW]
[ROW][C]39[/C][C]-0.016807[/C][C]-0.2587[/C][C]0.39803[/C][/ROW]
[ROW][C]40[/C][C]-0.045736[/C][C]-0.7041[/C][C]0.24103[/C][/ROW]
[ROW][C]41[/C][C]0.070033[/C][C]1.0781[/C][C]0.141033[/C][/ROW]
[ROW][C]42[/C][C]-0.034261[/C][C]-0.5274[/C][C]0.299189[/C][/ROW]
[ROW][C]43[/C][C]0.022104[/C][C]0.3403[/C][C]0.366972[/C][/ROW]
[ROW][C]44[/C][C]-0.051934[/C][C]-0.7995[/C][C]0.212395[/C][/ROW]
[ROW][C]45[/C][C]-0.092548[/C][C]-1.4248[/C][C]0.077771[/C][/ROW]
[ROW][C]46[/C][C]0.15097[/C][C]2.3242[/C][C]0.010482[/C][/ROW]
[ROW][C]47[/C][C]-0.049164[/C][C]-0.7569[/C][C]0.22494[/C][/ROW]
[ROW][C]48[/C][C]-0.154704[/C][C]-2.3816[/C][C]0.009013[/C][/ROW]
[ROW][C]49[/C][C]0.111166[/C][C]1.7114[/C][C]0.04416[/C][/ROW]
[ROW][C]50[/C][C]-0.019513[/C][C]-0.3004[/C][C]0.382068[/C][/ROW]
[ROW][C]51[/C][C]0.073021[/C][C]1.1242[/C][C]0.131043[/C][/ROW]
[ROW][C]52[/C][C]-0.038696[/C][C]-0.5957[/C][C]0.275967[/C][/ROW]
[ROW][C]53[/C][C]-0.015961[/C][C]-0.2457[/C][C]0.403058[/C][/ROW]
[ROW][C]54[/C][C]0.030242[/C][C]0.4656[/C][C]0.320977[/C][/ROW]
[ROW][C]55[/C][C]-0.142208[/C][C]-2.1893[/C][C]0.014777[/C][/ROW]
[ROW][C]56[/C][C]0.187692[/C][C]2.8895[/C][C]0.002108[/C][/ROW]
[ROW][C]57[/C][C]0.00505[/C][C]0.0778[/C][C]0.469046[/C][/ROW]
[ROW][C]58[/C][C]-0.015567[/C][C]-0.2396[/C][C]0.405407[/C][/ROW]
[ROW][C]59[/C][C]-0.020685[/C][C]-0.3184[/C][C]0.375213[/C][/ROW]
[ROW][C]60[/C][C]-0.161423[/C][C]-2.4851[/C][C]0.006822[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=32654&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=32654&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
1-0.179795-2.76790.003044
2-0.052791-0.81270.2086
3-0.028774-0.4430.329094
4-0.105818-1.6290.052316
50.1319322.03110.021682
6-0.054874-0.84480.199546
70.0088190.13580.446061
80.0958031.47490.070788
9-0.084068-1.29420.098425
100.0813431.25230.105855
110.0444770.68470.247094
12-0.287959-4.43317e-06
13-0.037385-0.57550.282738
14-0.057462-0.88460.188632
150.2091313.21950.000732
160.0308870.47550.317434
17-0.038895-0.59880.274946
180.0904171.3920.08262
19-0.105257-1.62040.053236
200.087651.34940.089255
210.0093010.14320.443131
22-0.077049-1.18620.118375
230.0957441.4740.070911
24-0.098033-1.50920.066291
250.0787581.21250.113272
260.0498470.76740.22181
27-0.076552-1.17850.119889
280.0337110.5190.30213
29-0.01138-0.17520.430536
30-0.037481-0.5770.282242
310.05520.84980.19815
32-0.088465-1.36190.08726
330.0131830.2030.419673
34-0.03751-0.57750.282087
350.0697521.07380.141998
360.123761.90530.028978
37-0.193866-2.98450.001569
380.0229760.35370.361934
39-0.016807-0.25870.39803
40-0.045736-0.70410.24103
410.0700331.07810.141033
42-0.034261-0.52740.299189
430.0221040.34030.366972
44-0.051934-0.79950.212395
45-0.092548-1.42480.077771
460.150972.32420.010482
47-0.049164-0.75690.22494
48-0.154704-2.38160.009013
490.1111661.71140.04416
50-0.019513-0.30040.382068
510.0730211.12420.131043
52-0.038696-0.59570.275967
53-0.015961-0.24570.403058
540.0302420.46560.320977
55-0.142208-2.18930.014777
560.1876922.88950.002108
570.005050.07780.469046
58-0.015567-0.23960.405407
59-0.020685-0.31840.375213
60-0.161423-2.48510.006822







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
1-0.179795-2.76790.003044
2-0.087961-1.35410.088491
3-0.057193-0.88050.189749
4-0.132813-2.04460.020998
50.0833471.28310.100352
6-0.035624-0.54840.29196
7-0.001465-0.02260.491011
80.0955781.47140.071253
9-0.031113-0.4790.316198
100.0610160.93930.174258
110.0885551.36330.087044
12-0.266932-4.10942.7e-05
13-0.170822-2.62980.004552
14-0.120359-1.85290.03257
150.1368582.10690.018089
160.0260280.40070.344502
170.0561410.86430.194155
180.1142061.75820.040004
19-0.019459-0.29960.382383
200.1152591.77440.038641
210.0442450.68110.248222
22-0.047141-0.72570.234362
230.0573140.88230.189245
24-0.135818-2.09090.018802
25-0.073299-1.12840.130141
26-0.044405-0.68360.247446
270.0543450.83660.201823
280.0512960.78970.215248
290.1056721.62680.052555
300.0270330.41620.338832
310.0145970.22470.411195
32-0.012331-0.18980.424804
33-0.050069-0.77080.220794
34-0.111743-1.72030.043346
350.0527060.81140.208976
360.0658151.01320.155997
37-0.16891-2.60030.004949
38-0.060876-0.93720.17481
390.0394770.60770.271971
40-0.037276-0.57390.283304
410.0561220.8640.194234
420.0668341.02890.152288
43-0.031786-0.48930.312526
44-0.119787-1.84410.033209
45-0.131884-2.03030.02172
46-0.01169-0.180.428669
470.0418060.64360.260229
48-0.080582-1.24050.108
490.0163130.25110.400961
50-0.023428-0.36070.359334
510.018860.29040.385901
520.0185760.2860.387574
530.0784751.20810.114104
540.0360920.55560.289496
55-0.12326-1.89760.029484
560.071371.09870.136501
57-0.039361-0.6060.272563
580.0085290.13130.447825
590.0350850.54010.294807
60-0.159499-2.45550.007395

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & -0.179795 & -2.7679 & 0.003044 \tabularnewline
2 & -0.087961 & -1.3541 & 0.088491 \tabularnewline
3 & -0.057193 & -0.8805 & 0.189749 \tabularnewline
4 & -0.132813 & -2.0446 & 0.020998 \tabularnewline
5 & 0.083347 & 1.2831 & 0.100352 \tabularnewline
6 & -0.035624 & -0.5484 & 0.29196 \tabularnewline
7 & -0.001465 & -0.0226 & 0.491011 \tabularnewline
8 & 0.095578 & 1.4714 & 0.071253 \tabularnewline
9 & -0.031113 & -0.479 & 0.316198 \tabularnewline
10 & 0.061016 & 0.9393 & 0.174258 \tabularnewline
11 & 0.088555 & 1.3633 & 0.087044 \tabularnewline
12 & -0.266932 & -4.1094 & 2.7e-05 \tabularnewline
13 & -0.170822 & -2.6298 & 0.004552 \tabularnewline
14 & -0.120359 & -1.8529 & 0.03257 \tabularnewline
15 & 0.136858 & 2.1069 & 0.018089 \tabularnewline
16 & 0.026028 & 0.4007 & 0.344502 \tabularnewline
17 & 0.056141 & 0.8643 & 0.194155 \tabularnewline
18 & 0.114206 & 1.7582 & 0.040004 \tabularnewline
19 & -0.019459 & -0.2996 & 0.382383 \tabularnewline
20 & 0.115259 & 1.7744 & 0.038641 \tabularnewline
21 & 0.044245 & 0.6811 & 0.248222 \tabularnewline
22 & -0.047141 & -0.7257 & 0.234362 \tabularnewline
23 & 0.057314 & 0.8823 & 0.189245 \tabularnewline
24 & -0.135818 & -2.0909 & 0.018802 \tabularnewline
25 & -0.073299 & -1.1284 & 0.130141 \tabularnewline
26 & -0.044405 & -0.6836 & 0.247446 \tabularnewline
27 & 0.054345 & 0.8366 & 0.201823 \tabularnewline
28 & 0.051296 & 0.7897 & 0.215248 \tabularnewline
29 & 0.105672 & 1.6268 & 0.052555 \tabularnewline
30 & 0.027033 & 0.4162 & 0.338832 \tabularnewline
31 & 0.014597 & 0.2247 & 0.411195 \tabularnewline
32 & -0.012331 & -0.1898 & 0.424804 \tabularnewline
33 & -0.050069 & -0.7708 & 0.220794 \tabularnewline
34 & -0.111743 & -1.7203 & 0.043346 \tabularnewline
35 & 0.052706 & 0.8114 & 0.208976 \tabularnewline
36 & 0.065815 & 1.0132 & 0.155997 \tabularnewline
37 & -0.16891 & -2.6003 & 0.004949 \tabularnewline
38 & -0.060876 & -0.9372 & 0.17481 \tabularnewline
39 & 0.039477 & 0.6077 & 0.271971 \tabularnewline
40 & -0.037276 & -0.5739 & 0.283304 \tabularnewline
41 & 0.056122 & 0.864 & 0.194234 \tabularnewline
42 & 0.066834 & 1.0289 & 0.152288 \tabularnewline
43 & -0.031786 & -0.4893 & 0.312526 \tabularnewline
44 & -0.119787 & -1.8441 & 0.033209 \tabularnewline
45 & -0.131884 & -2.0303 & 0.02172 \tabularnewline
46 & -0.01169 & -0.18 & 0.428669 \tabularnewline
47 & 0.041806 & 0.6436 & 0.260229 \tabularnewline
48 & -0.080582 & -1.2405 & 0.108 \tabularnewline
49 & 0.016313 & 0.2511 & 0.400961 \tabularnewline
50 & -0.023428 & -0.3607 & 0.359334 \tabularnewline
51 & 0.01886 & 0.2904 & 0.385901 \tabularnewline
52 & 0.018576 & 0.286 & 0.387574 \tabularnewline
53 & 0.078475 & 1.2081 & 0.114104 \tabularnewline
54 & 0.036092 & 0.5556 & 0.289496 \tabularnewline
55 & -0.12326 & -1.8976 & 0.029484 \tabularnewline
56 & 0.07137 & 1.0987 & 0.136501 \tabularnewline
57 & -0.039361 & -0.606 & 0.272563 \tabularnewline
58 & 0.008529 & 0.1313 & 0.447825 \tabularnewline
59 & 0.035085 & 0.5401 & 0.294807 \tabularnewline
60 & -0.159499 & -2.4555 & 0.007395 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=32654&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]-0.179795[/C][C]-2.7679[/C][C]0.003044[/C][/ROW]
[ROW][C]2[/C][C]-0.087961[/C][C]-1.3541[/C][C]0.088491[/C][/ROW]
[ROW][C]3[/C][C]-0.057193[/C][C]-0.8805[/C][C]0.189749[/C][/ROW]
[ROW][C]4[/C][C]-0.132813[/C][C]-2.0446[/C][C]0.020998[/C][/ROW]
[ROW][C]5[/C][C]0.083347[/C][C]1.2831[/C][C]0.100352[/C][/ROW]
[ROW][C]6[/C][C]-0.035624[/C][C]-0.5484[/C][C]0.29196[/C][/ROW]
[ROW][C]7[/C][C]-0.001465[/C][C]-0.0226[/C][C]0.491011[/C][/ROW]
[ROW][C]8[/C][C]0.095578[/C][C]1.4714[/C][C]0.071253[/C][/ROW]
[ROW][C]9[/C][C]-0.031113[/C][C]-0.479[/C][C]0.316198[/C][/ROW]
[ROW][C]10[/C][C]0.061016[/C][C]0.9393[/C][C]0.174258[/C][/ROW]
[ROW][C]11[/C][C]0.088555[/C][C]1.3633[/C][C]0.087044[/C][/ROW]
[ROW][C]12[/C][C]-0.266932[/C][C]-4.1094[/C][C]2.7e-05[/C][/ROW]
[ROW][C]13[/C][C]-0.170822[/C][C]-2.6298[/C][C]0.004552[/C][/ROW]
[ROW][C]14[/C][C]-0.120359[/C][C]-1.8529[/C][C]0.03257[/C][/ROW]
[ROW][C]15[/C][C]0.136858[/C][C]2.1069[/C][C]0.018089[/C][/ROW]
[ROW][C]16[/C][C]0.026028[/C][C]0.4007[/C][C]0.344502[/C][/ROW]
[ROW][C]17[/C][C]0.056141[/C][C]0.8643[/C][C]0.194155[/C][/ROW]
[ROW][C]18[/C][C]0.114206[/C][C]1.7582[/C][C]0.040004[/C][/ROW]
[ROW][C]19[/C][C]-0.019459[/C][C]-0.2996[/C][C]0.382383[/C][/ROW]
[ROW][C]20[/C][C]0.115259[/C][C]1.7744[/C][C]0.038641[/C][/ROW]
[ROW][C]21[/C][C]0.044245[/C][C]0.6811[/C][C]0.248222[/C][/ROW]
[ROW][C]22[/C][C]-0.047141[/C][C]-0.7257[/C][C]0.234362[/C][/ROW]
[ROW][C]23[/C][C]0.057314[/C][C]0.8823[/C][C]0.189245[/C][/ROW]
[ROW][C]24[/C][C]-0.135818[/C][C]-2.0909[/C][C]0.018802[/C][/ROW]
[ROW][C]25[/C][C]-0.073299[/C][C]-1.1284[/C][C]0.130141[/C][/ROW]
[ROW][C]26[/C][C]-0.044405[/C][C]-0.6836[/C][C]0.247446[/C][/ROW]
[ROW][C]27[/C][C]0.054345[/C][C]0.8366[/C][C]0.201823[/C][/ROW]
[ROW][C]28[/C][C]0.051296[/C][C]0.7897[/C][C]0.215248[/C][/ROW]
[ROW][C]29[/C][C]0.105672[/C][C]1.6268[/C][C]0.052555[/C][/ROW]
[ROW][C]30[/C][C]0.027033[/C][C]0.4162[/C][C]0.338832[/C][/ROW]
[ROW][C]31[/C][C]0.014597[/C][C]0.2247[/C][C]0.411195[/C][/ROW]
[ROW][C]32[/C][C]-0.012331[/C][C]-0.1898[/C][C]0.424804[/C][/ROW]
[ROW][C]33[/C][C]-0.050069[/C][C]-0.7708[/C][C]0.220794[/C][/ROW]
[ROW][C]34[/C][C]-0.111743[/C][C]-1.7203[/C][C]0.043346[/C][/ROW]
[ROW][C]35[/C][C]0.052706[/C][C]0.8114[/C][C]0.208976[/C][/ROW]
[ROW][C]36[/C][C]0.065815[/C][C]1.0132[/C][C]0.155997[/C][/ROW]
[ROW][C]37[/C][C]-0.16891[/C][C]-2.6003[/C][C]0.004949[/C][/ROW]
[ROW][C]38[/C][C]-0.060876[/C][C]-0.9372[/C][C]0.17481[/C][/ROW]
[ROW][C]39[/C][C]0.039477[/C][C]0.6077[/C][C]0.271971[/C][/ROW]
[ROW][C]40[/C][C]-0.037276[/C][C]-0.5739[/C][C]0.283304[/C][/ROW]
[ROW][C]41[/C][C]0.056122[/C][C]0.864[/C][C]0.194234[/C][/ROW]
[ROW][C]42[/C][C]0.066834[/C][C]1.0289[/C][C]0.152288[/C][/ROW]
[ROW][C]43[/C][C]-0.031786[/C][C]-0.4893[/C][C]0.312526[/C][/ROW]
[ROW][C]44[/C][C]-0.119787[/C][C]-1.8441[/C][C]0.033209[/C][/ROW]
[ROW][C]45[/C][C]-0.131884[/C][C]-2.0303[/C][C]0.02172[/C][/ROW]
[ROW][C]46[/C][C]-0.01169[/C][C]-0.18[/C][C]0.428669[/C][/ROW]
[ROW][C]47[/C][C]0.041806[/C][C]0.6436[/C][C]0.260229[/C][/ROW]
[ROW][C]48[/C][C]-0.080582[/C][C]-1.2405[/C][C]0.108[/C][/ROW]
[ROW][C]49[/C][C]0.016313[/C][C]0.2511[/C][C]0.400961[/C][/ROW]
[ROW][C]50[/C][C]-0.023428[/C][C]-0.3607[/C][C]0.359334[/C][/ROW]
[ROW][C]51[/C][C]0.01886[/C][C]0.2904[/C][C]0.385901[/C][/ROW]
[ROW][C]52[/C][C]0.018576[/C][C]0.286[/C][C]0.387574[/C][/ROW]
[ROW][C]53[/C][C]0.078475[/C][C]1.2081[/C][C]0.114104[/C][/ROW]
[ROW][C]54[/C][C]0.036092[/C][C]0.5556[/C][C]0.289496[/C][/ROW]
[ROW][C]55[/C][C]-0.12326[/C][C]-1.8976[/C][C]0.029484[/C][/ROW]
[ROW][C]56[/C][C]0.07137[/C][C]1.0987[/C][C]0.136501[/C][/ROW]
[ROW][C]57[/C][C]-0.039361[/C][C]-0.606[/C][C]0.272563[/C][/ROW]
[ROW][C]58[/C][C]0.008529[/C][C]0.1313[/C][C]0.447825[/C][/ROW]
[ROW][C]59[/C][C]0.035085[/C][C]0.5401[/C][C]0.294807[/C][/ROW]
[ROW][C]60[/C][C]-0.159499[/C][C]-2.4555[/C][C]0.007395[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=32654&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=32654&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
1-0.179795-2.76790.003044
2-0.087961-1.35410.088491
3-0.057193-0.88050.189749
4-0.132813-2.04460.020998
50.0833471.28310.100352
6-0.035624-0.54840.29196
7-0.001465-0.02260.491011
80.0955781.47140.071253
9-0.031113-0.4790.316198
100.0610160.93930.174258
110.0885551.36330.087044
12-0.266932-4.10942.7e-05
13-0.170822-2.62980.004552
14-0.120359-1.85290.03257
150.1368582.10690.018089
160.0260280.40070.344502
170.0561410.86430.194155
180.1142061.75820.040004
19-0.019459-0.29960.382383
200.1152591.77440.038641
210.0442450.68110.248222
22-0.047141-0.72570.234362
230.0573140.88230.189245
24-0.135818-2.09090.018802
25-0.073299-1.12840.130141
26-0.044405-0.68360.247446
270.0543450.83660.201823
280.0512960.78970.215248
290.1056721.62680.052555
300.0270330.41620.338832
310.0145970.22470.411195
32-0.012331-0.18980.424804
33-0.050069-0.77080.220794
34-0.111743-1.72030.043346
350.0527060.81140.208976
360.0658151.01320.155997
37-0.16891-2.60030.004949
38-0.060876-0.93720.17481
390.0394770.60770.271971
40-0.037276-0.57390.283304
410.0561220.8640.194234
420.0668341.02890.152288
43-0.031786-0.48930.312526
44-0.119787-1.84410.033209
45-0.131884-2.03030.02172
46-0.01169-0.180.428669
470.0418060.64360.260229
48-0.080582-1.24050.108
490.0163130.25110.400961
50-0.023428-0.36070.359334
510.018860.29040.385901
520.0185760.2860.387574
530.0784751.20810.114104
540.0360920.55560.289496
55-0.12326-1.89760.029484
560.071371.09870.136501
57-0.039361-0.6060.272563
580.0085290.13130.447825
590.0350850.54010.294807
60-0.159499-2.45550.007395



Parameters (Session):
par1 = 1 ; par2 = Include Monthly Dummies ; par3 = Linear Trend ;
Parameters (R input):
par1 = 60 ; par2 = 1 ; par3 = 1 ; par4 = 1 ; par5 = 12 ;
R code (references can be found in the software module):
if (par1 == 'Default') {
par1 = 10*log10(length(x))
} else {
par1 <- as.numeric(par1)
}
par2 <- as.numeric(par2)
par3 <- as.numeric(par3)
par4 <- as.numeric(par4)
par5 <- as.numeric(par5)
if (par2 == 0) {
x <- log(x)
} else {
x <- (x ^ par2 - 1) / par2
}
if (par3 > 0) x <- diff(x,lag=1,difference=par3)
if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
bitmap(file='pic1.png')
racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF')
dev.off()
bitmap(file='pic2.png')
rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
dev.off()
(myacf <- c(racf$acf))
(mypacf <- c(rpacf$acf))
lengthx <- length(x)
sqrtn <- sqrt(lengthx)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Autocorrelation Function',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Time lag k',header=TRUE)
a<-table.element(a,hyperlink('basics.htm','ACF(k)','click here for more information about the Autocorrelation Function'),header=TRUE)
a<-table.element(a,'T-STAT',header=TRUE)
a<-table.element(a,'P-value',header=TRUE)
a<-table.row.end(a)
for (i in 2:(par1+1)) {
a<-table.row.start(a)
a<-table.element(a,i-1,header=TRUE)
a<-table.element(a,round(myacf[i],6))
mytstat <- myacf[i]*sqrtn
a<-table.element(a,round(mytstat,4))
a<-table.element(a,round(1-pt(abs(mytstat),lengthx),6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Partial Autocorrelation Function',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Time lag k',header=TRUE)
a<-table.element(a,hyperlink('basics.htm','PACF(k)','click here for more information about the Partial Autocorrelation Function'),header=TRUE)
a<-table.element(a,'T-STAT',header=TRUE)
a<-table.element(a,'P-value',header=TRUE)
a<-table.row.end(a)
for (i in 1:par1) {
a<-table.row.start(a)
a<-table.element(a,i,header=TRUE)
a<-table.element(a,round(mypacf[i],6))
mytstat <- mypacf[i]*sqrtn
a<-table.element(a,round(mytstat,4))
a<-table.element(a,round(1-pt(abs(mytstat),lengthx),6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')