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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 05:51:22 -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/t1229086318pfrucp6y4tqkw4k.htm/, Retrieved Fri, 17 May 2024 12:36:33 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=32647, Retrieved Fri, 17 May 2024 12:36:33 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact191
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 12:51:22] [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 time1 seconds
R Server'George Udny Yule' @ 72.249.76.132

\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 & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=32647&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=32647&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=32647&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'George Udny Yule' @ 72.249.76.132







Autocorrelation Function
Time lag kACF(k)T-STATP-value
1-0.157343-2.48280.006847
2-0.067952-1.07230.142318
3-0.036795-0.58060.281013
4-0.060452-0.95390.170527
50.052370.82640.20469
6-0.018396-0.29030.385921
7-0.004382-0.06910.472467
80.0251270.39650.34604
9-0.119034-1.87830.030752
10-0.023762-0.3750.354006
11-0.052383-0.82660.204631
120.5927269.35310
13-0.131795-2.07970.019289
14-0.070936-1.11930.132035
150.0554220.87450.191334
16-0.06532-1.03070.151832
170.0136080.21470.415074
180.0289840.45740.323903
19-0.070802-1.11720.132484
200.0456020.71960.236226
21-0.120117-1.89540.029597
22-0.046559-0.73470.231611
230.0233980.36920.356139
240.4169176.57880
25-0.092165-1.45430.073556
26-0.026017-0.41050.340879
27-0.018657-0.29440.38435
28-0.107224-1.6920.045951
29-0.004142-0.06540.473969
300.0014330.02260.49099
31-0.062751-0.99020.16152
32-0.00776-0.12240.451322
33-0.12478-1.9690.025031
34-0.009568-0.1510.440058
350.0214230.3380.367806
360.3355665.29510
37-0.09414-1.48550.069338
38-0.009037-0.14260.44336
39-0.021812-0.34420.365497
40-0.147614-2.32930.010322
410.0020720.03270.486974
42-0.000851-0.01340.494646
43-0.096192-1.51790.065155
440.0207070.32670.372068
45-0.149331-2.35640.009614
460.0326240.51480.303578
47-0.026226-0.41380.339671
480.1695112.67480.003986
490.0345520.54520.293044
50-0.002381-0.03760.485031
51-0.014674-0.23160.408536
52-0.166996-2.63520.004469
53-0.034241-0.54030.294729
540.0228650.36080.359279
55-0.144139-2.27450.011894
560.1015621.60260.055143
57-0.097099-1.53220.063372
58-0.033207-0.5240.300372
59-0.033568-0.52970.298396
600.1129051.78160.038016

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & -0.157343 & -2.4828 & 0.006847 \tabularnewline
2 & -0.067952 & -1.0723 & 0.142318 \tabularnewline
3 & -0.036795 & -0.5806 & 0.281013 \tabularnewline
4 & -0.060452 & -0.9539 & 0.170527 \tabularnewline
5 & 0.05237 & 0.8264 & 0.20469 \tabularnewline
6 & -0.018396 & -0.2903 & 0.385921 \tabularnewline
7 & -0.004382 & -0.0691 & 0.472467 \tabularnewline
8 & 0.025127 & 0.3965 & 0.34604 \tabularnewline
9 & -0.119034 & -1.8783 & 0.030752 \tabularnewline
10 & -0.023762 & -0.375 & 0.354006 \tabularnewline
11 & -0.052383 & -0.8266 & 0.204631 \tabularnewline
12 & 0.592726 & 9.3531 & 0 \tabularnewline
13 & -0.131795 & -2.0797 & 0.019289 \tabularnewline
14 & -0.070936 & -1.1193 & 0.132035 \tabularnewline
15 & 0.055422 & 0.8745 & 0.191334 \tabularnewline
16 & -0.06532 & -1.0307 & 0.151832 \tabularnewline
17 & 0.013608 & 0.2147 & 0.415074 \tabularnewline
18 & 0.028984 & 0.4574 & 0.323903 \tabularnewline
19 & -0.070802 & -1.1172 & 0.132484 \tabularnewline
20 & 0.045602 & 0.7196 & 0.236226 \tabularnewline
21 & -0.120117 & -1.8954 & 0.029597 \tabularnewline
22 & -0.046559 & -0.7347 & 0.231611 \tabularnewline
23 & 0.023398 & 0.3692 & 0.356139 \tabularnewline
24 & 0.416917 & 6.5788 & 0 \tabularnewline
25 & -0.092165 & -1.4543 & 0.073556 \tabularnewline
26 & -0.026017 & -0.4105 & 0.340879 \tabularnewline
27 & -0.018657 & -0.2944 & 0.38435 \tabularnewline
28 & -0.107224 & -1.692 & 0.045951 \tabularnewline
29 & -0.004142 & -0.0654 & 0.473969 \tabularnewline
30 & 0.001433 & 0.0226 & 0.49099 \tabularnewline
31 & -0.062751 & -0.9902 & 0.16152 \tabularnewline
32 & -0.00776 & -0.1224 & 0.451322 \tabularnewline
33 & -0.12478 & -1.969 & 0.025031 \tabularnewline
34 & -0.009568 & -0.151 & 0.440058 \tabularnewline
35 & 0.021423 & 0.338 & 0.367806 \tabularnewline
36 & 0.335566 & 5.2951 & 0 \tabularnewline
37 & -0.09414 & -1.4855 & 0.069338 \tabularnewline
38 & -0.009037 & -0.1426 & 0.44336 \tabularnewline
39 & -0.021812 & -0.3442 & 0.365497 \tabularnewline
40 & -0.147614 & -2.3293 & 0.010322 \tabularnewline
41 & 0.002072 & 0.0327 & 0.486974 \tabularnewline
42 & -0.000851 & -0.0134 & 0.494646 \tabularnewline
43 & -0.096192 & -1.5179 & 0.065155 \tabularnewline
44 & 0.020707 & 0.3267 & 0.372068 \tabularnewline
45 & -0.149331 & -2.3564 & 0.009614 \tabularnewline
46 & 0.032624 & 0.5148 & 0.303578 \tabularnewline
47 & -0.026226 & -0.4138 & 0.339671 \tabularnewline
48 & 0.169511 & 2.6748 & 0.003986 \tabularnewline
49 & 0.034552 & 0.5452 & 0.293044 \tabularnewline
50 & -0.002381 & -0.0376 & 0.485031 \tabularnewline
51 & -0.014674 & -0.2316 & 0.408536 \tabularnewline
52 & -0.166996 & -2.6352 & 0.004469 \tabularnewline
53 & -0.034241 & -0.5403 & 0.294729 \tabularnewline
54 & 0.022865 & 0.3608 & 0.359279 \tabularnewline
55 & -0.144139 & -2.2745 & 0.011894 \tabularnewline
56 & 0.101562 & 1.6026 & 0.055143 \tabularnewline
57 & -0.097099 & -1.5322 & 0.063372 \tabularnewline
58 & -0.033207 & -0.524 & 0.300372 \tabularnewline
59 & -0.033568 & -0.5297 & 0.298396 \tabularnewline
60 & 0.112905 & 1.7816 & 0.038016 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=32647&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]-0.157343[/C][C]-2.4828[/C][C]0.006847[/C][/ROW]
[ROW][C]2[/C][C]-0.067952[/C][C]-1.0723[/C][C]0.142318[/C][/ROW]
[ROW][C]3[/C][C]-0.036795[/C][C]-0.5806[/C][C]0.281013[/C][/ROW]
[ROW][C]4[/C][C]-0.060452[/C][C]-0.9539[/C][C]0.170527[/C][/ROW]
[ROW][C]5[/C][C]0.05237[/C][C]0.8264[/C][C]0.20469[/C][/ROW]
[ROW][C]6[/C][C]-0.018396[/C][C]-0.2903[/C][C]0.385921[/C][/ROW]
[ROW][C]7[/C][C]-0.004382[/C][C]-0.0691[/C][C]0.472467[/C][/ROW]
[ROW][C]8[/C][C]0.025127[/C][C]0.3965[/C][C]0.34604[/C][/ROW]
[ROW][C]9[/C][C]-0.119034[/C][C]-1.8783[/C][C]0.030752[/C][/ROW]
[ROW][C]10[/C][C]-0.023762[/C][C]-0.375[/C][C]0.354006[/C][/ROW]
[ROW][C]11[/C][C]-0.052383[/C][C]-0.8266[/C][C]0.204631[/C][/ROW]
[ROW][C]12[/C][C]0.592726[/C][C]9.3531[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]-0.131795[/C][C]-2.0797[/C][C]0.019289[/C][/ROW]
[ROW][C]14[/C][C]-0.070936[/C][C]-1.1193[/C][C]0.132035[/C][/ROW]
[ROW][C]15[/C][C]0.055422[/C][C]0.8745[/C][C]0.191334[/C][/ROW]
[ROW][C]16[/C][C]-0.06532[/C][C]-1.0307[/C][C]0.151832[/C][/ROW]
[ROW][C]17[/C][C]0.013608[/C][C]0.2147[/C][C]0.415074[/C][/ROW]
[ROW][C]18[/C][C]0.028984[/C][C]0.4574[/C][C]0.323903[/C][/ROW]
[ROW][C]19[/C][C]-0.070802[/C][C]-1.1172[/C][C]0.132484[/C][/ROW]
[ROW][C]20[/C][C]0.045602[/C][C]0.7196[/C][C]0.236226[/C][/ROW]
[ROW][C]21[/C][C]-0.120117[/C][C]-1.8954[/C][C]0.029597[/C][/ROW]
[ROW][C]22[/C][C]-0.046559[/C][C]-0.7347[/C][C]0.231611[/C][/ROW]
[ROW][C]23[/C][C]0.023398[/C][C]0.3692[/C][C]0.356139[/C][/ROW]
[ROW][C]24[/C][C]0.416917[/C][C]6.5788[/C][C]0[/C][/ROW]
[ROW][C]25[/C][C]-0.092165[/C][C]-1.4543[/C][C]0.073556[/C][/ROW]
[ROW][C]26[/C][C]-0.026017[/C][C]-0.4105[/C][C]0.340879[/C][/ROW]
[ROW][C]27[/C][C]-0.018657[/C][C]-0.2944[/C][C]0.38435[/C][/ROW]
[ROW][C]28[/C][C]-0.107224[/C][C]-1.692[/C][C]0.045951[/C][/ROW]
[ROW][C]29[/C][C]-0.004142[/C][C]-0.0654[/C][C]0.473969[/C][/ROW]
[ROW][C]30[/C][C]0.001433[/C][C]0.0226[/C][C]0.49099[/C][/ROW]
[ROW][C]31[/C][C]-0.062751[/C][C]-0.9902[/C][C]0.16152[/C][/ROW]
[ROW][C]32[/C][C]-0.00776[/C][C]-0.1224[/C][C]0.451322[/C][/ROW]
[ROW][C]33[/C][C]-0.12478[/C][C]-1.969[/C][C]0.025031[/C][/ROW]
[ROW][C]34[/C][C]-0.009568[/C][C]-0.151[/C][C]0.440058[/C][/ROW]
[ROW][C]35[/C][C]0.021423[/C][C]0.338[/C][C]0.367806[/C][/ROW]
[ROW][C]36[/C][C]0.335566[/C][C]5.2951[/C][C]0[/C][/ROW]
[ROW][C]37[/C][C]-0.09414[/C][C]-1.4855[/C][C]0.069338[/C][/ROW]
[ROW][C]38[/C][C]-0.009037[/C][C]-0.1426[/C][C]0.44336[/C][/ROW]
[ROW][C]39[/C][C]-0.021812[/C][C]-0.3442[/C][C]0.365497[/C][/ROW]
[ROW][C]40[/C][C]-0.147614[/C][C]-2.3293[/C][C]0.010322[/C][/ROW]
[ROW][C]41[/C][C]0.002072[/C][C]0.0327[/C][C]0.486974[/C][/ROW]
[ROW][C]42[/C][C]-0.000851[/C][C]-0.0134[/C][C]0.494646[/C][/ROW]
[ROW][C]43[/C][C]-0.096192[/C][C]-1.5179[/C][C]0.065155[/C][/ROW]
[ROW][C]44[/C][C]0.020707[/C][C]0.3267[/C][C]0.372068[/C][/ROW]
[ROW][C]45[/C][C]-0.149331[/C][C]-2.3564[/C][C]0.009614[/C][/ROW]
[ROW][C]46[/C][C]0.032624[/C][C]0.5148[/C][C]0.303578[/C][/ROW]
[ROW][C]47[/C][C]-0.026226[/C][C]-0.4138[/C][C]0.339671[/C][/ROW]
[ROW][C]48[/C][C]0.169511[/C][C]2.6748[/C][C]0.003986[/C][/ROW]
[ROW][C]49[/C][C]0.034552[/C][C]0.5452[/C][C]0.293044[/C][/ROW]
[ROW][C]50[/C][C]-0.002381[/C][C]-0.0376[/C][C]0.485031[/C][/ROW]
[ROW][C]51[/C][C]-0.014674[/C][C]-0.2316[/C][C]0.408536[/C][/ROW]
[ROW][C]52[/C][C]-0.166996[/C][C]-2.6352[/C][C]0.004469[/C][/ROW]
[ROW][C]53[/C][C]-0.034241[/C][C]-0.5403[/C][C]0.294729[/C][/ROW]
[ROW][C]54[/C][C]0.022865[/C][C]0.3608[/C][C]0.359279[/C][/ROW]
[ROW][C]55[/C][C]-0.144139[/C][C]-2.2745[/C][C]0.011894[/C][/ROW]
[ROW][C]56[/C][C]0.101562[/C][C]1.6026[/C][C]0.055143[/C][/ROW]
[ROW][C]57[/C][C]-0.097099[/C][C]-1.5322[/C][C]0.063372[/C][/ROW]
[ROW][C]58[/C][C]-0.033207[/C][C]-0.524[/C][C]0.300372[/C][/ROW]
[ROW][C]59[/C][C]-0.033568[/C][C]-0.5297[/C][C]0.298396[/C][/ROW]
[ROW][C]60[/C][C]0.112905[/C][C]1.7816[/C][C]0.038016[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=32647&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=32647&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
1-0.157343-2.48280.006847
2-0.067952-1.07230.142318
3-0.036795-0.58060.281013
4-0.060452-0.95390.170527
50.052370.82640.20469
6-0.018396-0.29030.385921
7-0.004382-0.06910.472467
80.0251270.39650.34604
9-0.119034-1.87830.030752
10-0.023762-0.3750.354006
11-0.052383-0.82660.204631
120.5927269.35310
13-0.131795-2.07970.019289
14-0.070936-1.11930.132035
150.0554220.87450.191334
16-0.06532-1.03070.151832
170.0136080.21470.415074
180.0289840.45740.323903
19-0.070802-1.11720.132484
200.0456020.71960.236226
21-0.120117-1.89540.029597
22-0.046559-0.73470.231611
230.0233980.36920.356139
240.4169176.57880
25-0.092165-1.45430.073556
26-0.026017-0.41050.340879
27-0.018657-0.29440.38435
28-0.107224-1.6920.045951
29-0.004142-0.06540.473969
300.0014330.02260.49099
31-0.062751-0.99020.16152
32-0.00776-0.12240.451322
33-0.12478-1.9690.025031
34-0.009568-0.1510.440058
350.0214230.3380.367806
360.3355665.29510
37-0.09414-1.48550.069338
38-0.009037-0.14260.44336
39-0.021812-0.34420.365497
40-0.147614-2.32930.010322
410.0020720.03270.486974
42-0.000851-0.01340.494646
43-0.096192-1.51790.065155
440.0207070.32670.372068
45-0.149331-2.35640.009614
460.0326240.51480.303578
47-0.026226-0.41380.339671
480.1695112.67480.003986
490.0345520.54520.293044
50-0.002381-0.03760.485031
51-0.014674-0.23160.408536
52-0.166996-2.63520.004469
53-0.034241-0.54030.294729
540.0228650.36080.359279
55-0.144139-2.27450.011894
560.1015621.60260.055143
57-0.097099-1.53220.063372
58-0.033207-0.5240.300372
59-0.033568-0.52970.298396
600.1129051.78160.038016







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
1-0.157343-2.48280.006847
2-0.095063-1.50010.067432
3-0.065665-1.03620.150563
4-0.087899-1.3870.083339
50.0184440.2910.385633
6-0.022513-0.35520.361354
7-0.012916-0.20380.419333
80.0187850.29640.383576
9-0.114943-1.81380.035458
10-0.069568-1.09780.136684
11-0.094614-1.4930.068355
120.5878399.27590
130.0363880.57420.283179
140.0100130.1580.437292
150.0968481.52820.063862
160.038310.60450.273025
17-0.053406-0.84270.200095
180.0490150.77340.219996
19-0.051471-0.81220.208727
20-0.033236-0.52450.300213
210.0009380.01480.494104
22-0.065727-1.03720.150335
23-0.014047-0.22170.412381
240.1436222.26630.012145
250.0548430.86540.193823
260.0513190.80980.209414
27-0.098572-1.55540.060555
28-0.11424-1.80270.036324
29-0.066925-1.05610.145982
30-0.101951-1.60880.054468
31-0.04399-0.69420.244116
32-0.112227-1.77090.0389
33-0.07128-1.12480.130882
340.0191290.30180.38151
35-0.039757-0.62740.265499
360.0640231.01030.156675
370.0037660.05940.476331
380.0082830.13070.448059
39-0.00716-0.1130.455066
40-0.077572-1.22410.111043
41-0.082118-1.29580.098122
42-0.019522-0.30810.379151
43-0.05898-0.93070.176456
440.0145690.22990.409182
45-0.017519-0.27640.391219
460.0367540.580.281229
47-0.07198-1.13580.128561
48-0.134013-2.11470.017725
490.089061.40530.080583
500.0372120.58720.278804
510.0071140.11230.455357
52-0.049169-0.77590.219279
53-0.048595-0.76680.22196
54-0.050375-0.79490.213713
55-0.067292-1.06190.144666
560.0961351.5170.06527
570.0703741.11050.133932
58-0.055415-0.87440.191364
59-0.08365-1.320.094029
60-0.017441-0.27520.391689

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & -0.157343 & -2.4828 & 0.006847 \tabularnewline
2 & -0.095063 & -1.5001 & 0.067432 \tabularnewline
3 & -0.065665 & -1.0362 & 0.150563 \tabularnewline
4 & -0.087899 & -1.387 & 0.083339 \tabularnewline
5 & 0.018444 & 0.291 & 0.385633 \tabularnewline
6 & -0.022513 & -0.3552 & 0.361354 \tabularnewline
7 & -0.012916 & -0.2038 & 0.419333 \tabularnewline
8 & 0.018785 & 0.2964 & 0.383576 \tabularnewline
9 & -0.114943 & -1.8138 & 0.035458 \tabularnewline
10 & -0.069568 & -1.0978 & 0.136684 \tabularnewline
11 & -0.094614 & -1.493 & 0.068355 \tabularnewline
12 & 0.587839 & 9.2759 & 0 \tabularnewline
13 & 0.036388 & 0.5742 & 0.283179 \tabularnewline
14 & 0.010013 & 0.158 & 0.437292 \tabularnewline
15 & 0.096848 & 1.5282 & 0.063862 \tabularnewline
16 & 0.03831 & 0.6045 & 0.273025 \tabularnewline
17 & -0.053406 & -0.8427 & 0.200095 \tabularnewline
18 & 0.049015 & 0.7734 & 0.219996 \tabularnewline
19 & -0.051471 & -0.8122 & 0.208727 \tabularnewline
20 & -0.033236 & -0.5245 & 0.300213 \tabularnewline
21 & 0.000938 & 0.0148 & 0.494104 \tabularnewline
22 & -0.065727 & -1.0372 & 0.150335 \tabularnewline
23 & -0.014047 & -0.2217 & 0.412381 \tabularnewline
24 & 0.143622 & 2.2663 & 0.012145 \tabularnewline
25 & 0.054843 & 0.8654 & 0.193823 \tabularnewline
26 & 0.051319 & 0.8098 & 0.209414 \tabularnewline
27 & -0.098572 & -1.5554 & 0.060555 \tabularnewline
28 & -0.11424 & -1.8027 & 0.036324 \tabularnewline
29 & -0.066925 & -1.0561 & 0.145982 \tabularnewline
30 & -0.101951 & -1.6088 & 0.054468 \tabularnewline
31 & -0.04399 & -0.6942 & 0.244116 \tabularnewline
32 & -0.112227 & -1.7709 & 0.0389 \tabularnewline
33 & -0.07128 & -1.1248 & 0.130882 \tabularnewline
34 & 0.019129 & 0.3018 & 0.38151 \tabularnewline
35 & -0.039757 & -0.6274 & 0.265499 \tabularnewline
36 & 0.064023 & 1.0103 & 0.156675 \tabularnewline
37 & 0.003766 & 0.0594 & 0.476331 \tabularnewline
38 & 0.008283 & 0.1307 & 0.448059 \tabularnewline
39 & -0.00716 & -0.113 & 0.455066 \tabularnewline
40 & -0.077572 & -1.2241 & 0.111043 \tabularnewline
41 & -0.082118 & -1.2958 & 0.098122 \tabularnewline
42 & -0.019522 & -0.3081 & 0.379151 \tabularnewline
43 & -0.05898 & -0.9307 & 0.176456 \tabularnewline
44 & 0.014569 & 0.2299 & 0.409182 \tabularnewline
45 & -0.017519 & -0.2764 & 0.391219 \tabularnewline
46 & 0.036754 & 0.58 & 0.281229 \tabularnewline
47 & -0.07198 & -1.1358 & 0.128561 \tabularnewline
48 & -0.134013 & -2.1147 & 0.017725 \tabularnewline
49 & 0.08906 & 1.4053 & 0.080583 \tabularnewline
50 & 0.037212 & 0.5872 & 0.278804 \tabularnewline
51 & 0.007114 & 0.1123 & 0.455357 \tabularnewline
52 & -0.049169 & -0.7759 & 0.219279 \tabularnewline
53 & -0.048595 & -0.7668 & 0.22196 \tabularnewline
54 & -0.050375 & -0.7949 & 0.213713 \tabularnewline
55 & -0.067292 & -1.0619 & 0.144666 \tabularnewline
56 & 0.096135 & 1.517 & 0.06527 \tabularnewline
57 & 0.070374 & 1.1105 & 0.133932 \tabularnewline
58 & -0.055415 & -0.8744 & 0.191364 \tabularnewline
59 & -0.08365 & -1.32 & 0.094029 \tabularnewline
60 & -0.017441 & -0.2752 & 0.391689 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=32647&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]-0.157343[/C][C]-2.4828[/C][C]0.006847[/C][/ROW]
[ROW][C]2[/C][C]-0.095063[/C][C]-1.5001[/C][C]0.067432[/C][/ROW]
[ROW][C]3[/C][C]-0.065665[/C][C]-1.0362[/C][C]0.150563[/C][/ROW]
[ROW][C]4[/C][C]-0.087899[/C][C]-1.387[/C][C]0.083339[/C][/ROW]
[ROW][C]5[/C][C]0.018444[/C][C]0.291[/C][C]0.385633[/C][/ROW]
[ROW][C]6[/C][C]-0.022513[/C][C]-0.3552[/C][C]0.361354[/C][/ROW]
[ROW][C]7[/C][C]-0.012916[/C][C]-0.2038[/C][C]0.419333[/C][/ROW]
[ROW][C]8[/C][C]0.018785[/C][C]0.2964[/C][C]0.383576[/C][/ROW]
[ROW][C]9[/C][C]-0.114943[/C][C]-1.8138[/C][C]0.035458[/C][/ROW]
[ROW][C]10[/C][C]-0.069568[/C][C]-1.0978[/C][C]0.136684[/C][/ROW]
[ROW][C]11[/C][C]-0.094614[/C][C]-1.493[/C][C]0.068355[/C][/ROW]
[ROW][C]12[/C][C]0.587839[/C][C]9.2759[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]0.036388[/C][C]0.5742[/C][C]0.283179[/C][/ROW]
[ROW][C]14[/C][C]0.010013[/C][C]0.158[/C][C]0.437292[/C][/ROW]
[ROW][C]15[/C][C]0.096848[/C][C]1.5282[/C][C]0.063862[/C][/ROW]
[ROW][C]16[/C][C]0.03831[/C][C]0.6045[/C][C]0.273025[/C][/ROW]
[ROW][C]17[/C][C]-0.053406[/C][C]-0.8427[/C][C]0.200095[/C][/ROW]
[ROW][C]18[/C][C]0.049015[/C][C]0.7734[/C][C]0.219996[/C][/ROW]
[ROW][C]19[/C][C]-0.051471[/C][C]-0.8122[/C][C]0.208727[/C][/ROW]
[ROW][C]20[/C][C]-0.033236[/C][C]-0.5245[/C][C]0.300213[/C][/ROW]
[ROW][C]21[/C][C]0.000938[/C][C]0.0148[/C][C]0.494104[/C][/ROW]
[ROW][C]22[/C][C]-0.065727[/C][C]-1.0372[/C][C]0.150335[/C][/ROW]
[ROW][C]23[/C][C]-0.014047[/C][C]-0.2217[/C][C]0.412381[/C][/ROW]
[ROW][C]24[/C][C]0.143622[/C][C]2.2663[/C][C]0.012145[/C][/ROW]
[ROW][C]25[/C][C]0.054843[/C][C]0.8654[/C][C]0.193823[/C][/ROW]
[ROW][C]26[/C][C]0.051319[/C][C]0.8098[/C][C]0.209414[/C][/ROW]
[ROW][C]27[/C][C]-0.098572[/C][C]-1.5554[/C][C]0.060555[/C][/ROW]
[ROW][C]28[/C][C]-0.11424[/C][C]-1.8027[/C][C]0.036324[/C][/ROW]
[ROW][C]29[/C][C]-0.066925[/C][C]-1.0561[/C][C]0.145982[/C][/ROW]
[ROW][C]30[/C][C]-0.101951[/C][C]-1.6088[/C][C]0.054468[/C][/ROW]
[ROW][C]31[/C][C]-0.04399[/C][C]-0.6942[/C][C]0.244116[/C][/ROW]
[ROW][C]32[/C][C]-0.112227[/C][C]-1.7709[/C][C]0.0389[/C][/ROW]
[ROW][C]33[/C][C]-0.07128[/C][C]-1.1248[/C][C]0.130882[/C][/ROW]
[ROW][C]34[/C][C]0.019129[/C][C]0.3018[/C][C]0.38151[/C][/ROW]
[ROW][C]35[/C][C]-0.039757[/C][C]-0.6274[/C][C]0.265499[/C][/ROW]
[ROW][C]36[/C][C]0.064023[/C][C]1.0103[/C][C]0.156675[/C][/ROW]
[ROW][C]37[/C][C]0.003766[/C][C]0.0594[/C][C]0.476331[/C][/ROW]
[ROW][C]38[/C][C]0.008283[/C][C]0.1307[/C][C]0.448059[/C][/ROW]
[ROW][C]39[/C][C]-0.00716[/C][C]-0.113[/C][C]0.455066[/C][/ROW]
[ROW][C]40[/C][C]-0.077572[/C][C]-1.2241[/C][C]0.111043[/C][/ROW]
[ROW][C]41[/C][C]-0.082118[/C][C]-1.2958[/C][C]0.098122[/C][/ROW]
[ROW][C]42[/C][C]-0.019522[/C][C]-0.3081[/C][C]0.379151[/C][/ROW]
[ROW][C]43[/C][C]-0.05898[/C][C]-0.9307[/C][C]0.176456[/C][/ROW]
[ROW][C]44[/C][C]0.014569[/C][C]0.2299[/C][C]0.409182[/C][/ROW]
[ROW][C]45[/C][C]-0.017519[/C][C]-0.2764[/C][C]0.391219[/C][/ROW]
[ROW][C]46[/C][C]0.036754[/C][C]0.58[/C][C]0.281229[/C][/ROW]
[ROW][C]47[/C][C]-0.07198[/C][C]-1.1358[/C][C]0.128561[/C][/ROW]
[ROW][C]48[/C][C]-0.134013[/C][C]-2.1147[/C][C]0.017725[/C][/ROW]
[ROW][C]49[/C][C]0.08906[/C][C]1.4053[/C][C]0.080583[/C][/ROW]
[ROW][C]50[/C][C]0.037212[/C][C]0.5872[/C][C]0.278804[/C][/ROW]
[ROW][C]51[/C][C]0.007114[/C][C]0.1123[/C][C]0.455357[/C][/ROW]
[ROW][C]52[/C][C]-0.049169[/C][C]-0.7759[/C][C]0.219279[/C][/ROW]
[ROW][C]53[/C][C]-0.048595[/C][C]-0.7668[/C][C]0.22196[/C][/ROW]
[ROW][C]54[/C][C]-0.050375[/C][C]-0.7949[/C][C]0.213713[/C][/ROW]
[ROW][C]55[/C][C]-0.067292[/C][C]-1.0619[/C][C]0.144666[/C][/ROW]
[ROW][C]56[/C][C]0.096135[/C][C]1.517[/C][C]0.06527[/C][/ROW]
[ROW][C]57[/C][C]0.070374[/C][C]1.1105[/C][C]0.133932[/C][/ROW]
[ROW][C]58[/C][C]-0.055415[/C][C]-0.8744[/C][C]0.191364[/C][/ROW]
[ROW][C]59[/C][C]-0.08365[/C][C]-1.32[/C][C]0.094029[/C][/ROW]
[ROW][C]60[/C][C]-0.017441[/C][C]-0.2752[/C][C]0.391689[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=32647&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=32647&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
1-0.157343-2.48280.006847
2-0.095063-1.50010.067432
3-0.065665-1.03620.150563
4-0.087899-1.3870.083339
50.0184440.2910.385633
6-0.022513-0.35520.361354
7-0.012916-0.20380.419333
80.0187850.29640.383576
9-0.114943-1.81380.035458
10-0.069568-1.09780.136684
11-0.094614-1.4930.068355
120.5878399.27590
130.0363880.57420.283179
140.0100130.1580.437292
150.0968481.52820.063862
160.038310.60450.273025
17-0.053406-0.84270.200095
180.0490150.77340.219996
19-0.051471-0.81220.208727
20-0.033236-0.52450.300213
210.0009380.01480.494104
22-0.065727-1.03720.150335
23-0.014047-0.22170.412381
240.1436222.26630.012145
250.0548430.86540.193823
260.0513190.80980.209414
27-0.098572-1.55540.060555
28-0.11424-1.80270.036324
29-0.066925-1.05610.145982
30-0.101951-1.60880.054468
31-0.04399-0.69420.244116
32-0.112227-1.77090.0389
33-0.07128-1.12480.130882
340.0191290.30180.38151
35-0.039757-0.62740.265499
360.0640231.01030.156675
370.0037660.05940.476331
380.0082830.13070.448059
39-0.00716-0.1130.455066
40-0.077572-1.22410.111043
41-0.082118-1.29580.098122
42-0.019522-0.30810.379151
43-0.05898-0.93070.176456
440.0145690.22990.409182
45-0.017519-0.27640.391219
460.0367540.580.281229
47-0.07198-1.13580.128561
48-0.134013-2.11470.017725
490.089061.40530.080583
500.0372120.58720.278804
510.0071140.11230.455357
52-0.049169-0.77590.219279
53-0.048595-0.76680.22196
54-0.050375-0.79490.213713
55-0.067292-1.06190.144666
560.0961351.5170.06527
570.0703741.11050.133932
58-0.055415-0.87440.191364
59-0.08365-1.320.094029
60-0.017441-0.27520.391689



Parameters (Session):
par1 = 1 ; par2 = Include Monthly Dummies ; par3 = Linear Trend ;
Parameters (R input):
par1 = 60 ; par2 = 1 ; 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 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')