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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 05:18:45 -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/t12290843774elzqel61tb2y3z.htm/, Retrieved Sat, 18 May 2024 05:28:06 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=32614, Retrieved Sat, 18 May 2024 05:28:06 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact179
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 12:18:45] [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'Gwilym Jenkins' @ 72.249.127.135

\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 & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=32614&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=32614&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=32614&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'Gwilym Jenkins' @ 72.249.127.135







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.98561315.58390
20.97348115.39210
30.96174315.20650
40.95060315.03040
50.94038914.86880
60.92916414.69140
70.91831814.51990
80.90742314.34760
90.89593314.16590
100.88513313.99520
110.87403613.81970
120.86375513.65720
130.84499813.36060
140.82769313.0870
150.81090912.82160
160.79323712.54220
170.77706212.28640
180.76027612.0210
190.74340711.75430
200.72763111.50490
210.71076611.23820
220.69461210.98280
230.67880210.73280
240.66262510.4770
250.63940410.10990
260.6158999.73820
270.5931719.37890
280.5705579.02130
290.5497128.69170
300.5279018.34680
310.507328.02140
320.4870847.70150
330.4671177.38580
340.4484897.09120
350.4301786.80170
360.41236.5190
370.3889896.15040
380.3671335.80490
390.3482065.50560
400.3278155.18320
410.3096664.89621e-06
420.2910524.60193e-06
430.2731924.31951.1e-05
440.2566824.05853.3e-05
450.2393833.7859.6e-05
460.2254123.56410.000219
470.2114653.34360.000477
480.1976553.12520.000993
490.1807652.85810.00231
500.1630152.57750.005263
510.1480322.34060.01002
520.1320672.08820.018898
530.1176481.86020.032018
540.104041.6450.050612
550.0913081.44370.075038
560.0813421.28610.099794
570.0692271.09460.137377
580.0593260.9380.174569
590.0501240.79250.214403
600.0416220.65810.255542

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.985613 & 15.5839 & 0 \tabularnewline
2 & 0.973481 & 15.3921 & 0 \tabularnewline
3 & 0.961743 & 15.2065 & 0 \tabularnewline
4 & 0.950603 & 15.0304 & 0 \tabularnewline
5 & 0.940389 & 14.8688 & 0 \tabularnewline
6 & 0.929164 & 14.6914 & 0 \tabularnewline
7 & 0.918318 & 14.5199 & 0 \tabularnewline
8 & 0.907423 & 14.3476 & 0 \tabularnewline
9 & 0.895933 & 14.1659 & 0 \tabularnewline
10 & 0.885133 & 13.9952 & 0 \tabularnewline
11 & 0.874036 & 13.8197 & 0 \tabularnewline
12 & 0.863755 & 13.6572 & 0 \tabularnewline
13 & 0.844998 & 13.3606 & 0 \tabularnewline
14 & 0.827693 & 13.087 & 0 \tabularnewline
15 & 0.810909 & 12.8216 & 0 \tabularnewline
16 & 0.793237 & 12.5422 & 0 \tabularnewline
17 & 0.777062 & 12.2864 & 0 \tabularnewline
18 & 0.760276 & 12.021 & 0 \tabularnewline
19 & 0.743407 & 11.7543 & 0 \tabularnewline
20 & 0.727631 & 11.5049 & 0 \tabularnewline
21 & 0.710766 & 11.2382 & 0 \tabularnewline
22 & 0.694612 & 10.9828 & 0 \tabularnewline
23 & 0.678802 & 10.7328 & 0 \tabularnewline
24 & 0.662625 & 10.477 & 0 \tabularnewline
25 & 0.639404 & 10.1099 & 0 \tabularnewline
26 & 0.615899 & 9.7382 & 0 \tabularnewline
27 & 0.593171 & 9.3789 & 0 \tabularnewline
28 & 0.570557 & 9.0213 & 0 \tabularnewline
29 & 0.549712 & 8.6917 & 0 \tabularnewline
30 & 0.527901 & 8.3468 & 0 \tabularnewline
31 & 0.50732 & 8.0214 & 0 \tabularnewline
32 & 0.487084 & 7.7015 & 0 \tabularnewline
33 & 0.467117 & 7.3858 & 0 \tabularnewline
34 & 0.448489 & 7.0912 & 0 \tabularnewline
35 & 0.430178 & 6.8017 & 0 \tabularnewline
36 & 0.4123 & 6.519 & 0 \tabularnewline
37 & 0.388989 & 6.1504 & 0 \tabularnewline
38 & 0.367133 & 5.8049 & 0 \tabularnewline
39 & 0.348206 & 5.5056 & 0 \tabularnewline
40 & 0.327815 & 5.1832 & 0 \tabularnewline
41 & 0.309666 & 4.8962 & 1e-06 \tabularnewline
42 & 0.291052 & 4.6019 & 3e-06 \tabularnewline
43 & 0.273192 & 4.3195 & 1.1e-05 \tabularnewline
44 & 0.256682 & 4.0585 & 3.3e-05 \tabularnewline
45 & 0.239383 & 3.785 & 9.6e-05 \tabularnewline
46 & 0.225412 & 3.5641 & 0.000219 \tabularnewline
47 & 0.211465 & 3.3436 & 0.000477 \tabularnewline
48 & 0.197655 & 3.1252 & 0.000993 \tabularnewline
49 & 0.180765 & 2.8581 & 0.00231 \tabularnewline
50 & 0.163015 & 2.5775 & 0.005263 \tabularnewline
51 & 0.148032 & 2.3406 & 0.01002 \tabularnewline
52 & 0.132067 & 2.0882 & 0.018898 \tabularnewline
53 & 0.117648 & 1.8602 & 0.032018 \tabularnewline
54 & 0.10404 & 1.645 & 0.050612 \tabularnewline
55 & 0.091308 & 1.4437 & 0.075038 \tabularnewline
56 & 0.081342 & 1.2861 & 0.099794 \tabularnewline
57 & 0.069227 & 1.0946 & 0.137377 \tabularnewline
58 & 0.059326 & 0.938 & 0.174569 \tabularnewline
59 & 0.050124 & 0.7925 & 0.214403 \tabularnewline
60 & 0.041622 & 0.6581 & 0.255542 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=32614&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]0.985613[/C][C]15.5839[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.973481[/C][C]15.3921[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.961743[/C][C]15.2065[/C][C]0[/C][/ROW]
[ROW][C]4[/C][C]0.950603[/C][C]15.0304[/C][C]0[/C][/ROW]
[ROW][C]5[/C][C]0.940389[/C][C]14.8688[/C][C]0[/C][/ROW]
[ROW][C]6[/C][C]0.929164[/C][C]14.6914[/C][C]0[/C][/ROW]
[ROW][C]7[/C][C]0.918318[/C][C]14.5199[/C][C]0[/C][/ROW]
[ROW][C]8[/C][C]0.907423[/C][C]14.3476[/C][C]0[/C][/ROW]
[ROW][C]9[/C][C]0.895933[/C][C]14.1659[/C][C]0[/C][/ROW]
[ROW][C]10[/C][C]0.885133[/C][C]13.9952[/C][C]0[/C][/ROW]
[ROW][C]11[/C][C]0.874036[/C][C]13.8197[/C][C]0[/C][/ROW]
[ROW][C]12[/C][C]0.863755[/C][C]13.6572[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]0.844998[/C][C]13.3606[/C][C]0[/C][/ROW]
[ROW][C]14[/C][C]0.827693[/C][C]13.087[/C][C]0[/C][/ROW]
[ROW][C]15[/C][C]0.810909[/C][C]12.8216[/C][C]0[/C][/ROW]
[ROW][C]16[/C][C]0.793237[/C][C]12.5422[/C][C]0[/C][/ROW]
[ROW][C]17[/C][C]0.777062[/C][C]12.2864[/C][C]0[/C][/ROW]
[ROW][C]18[/C][C]0.760276[/C][C]12.021[/C][C]0[/C][/ROW]
[ROW][C]19[/C][C]0.743407[/C][C]11.7543[/C][C]0[/C][/ROW]
[ROW][C]20[/C][C]0.727631[/C][C]11.5049[/C][C]0[/C][/ROW]
[ROW][C]21[/C][C]0.710766[/C][C]11.2382[/C][C]0[/C][/ROW]
[ROW][C]22[/C][C]0.694612[/C][C]10.9828[/C][C]0[/C][/ROW]
[ROW][C]23[/C][C]0.678802[/C][C]10.7328[/C][C]0[/C][/ROW]
[ROW][C]24[/C][C]0.662625[/C][C]10.477[/C][C]0[/C][/ROW]
[ROW][C]25[/C][C]0.639404[/C][C]10.1099[/C][C]0[/C][/ROW]
[ROW][C]26[/C][C]0.615899[/C][C]9.7382[/C][C]0[/C][/ROW]
[ROW][C]27[/C][C]0.593171[/C][C]9.3789[/C][C]0[/C][/ROW]
[ROW][C]28[/C][C]0.570557[/C][C]9.0213[/C][C]0[/C][/ROW]
[ROW][C]29[/C][C]0.549712[/C][C]8.6917[/C][C]0[/C][/ROW]
[ROW][C]30[/C][C]0.527901[/C][C]8.3468[/C][C]0[/C][/ROW]
[ROW][C]31[/C][C]0.50732[/C][C]8.0214[/C][C]0[/C][/ROW]
[ROW][C]32[/C][C]0.487084[/C][C]7.7015[/C][C]0[/C][/ROW]
[ROW][C]33[/C][C]0.467117[/C][C]7.3858[/C][C]0[/C][/ROW]
[ROW][C]34[/C][C]0.448489[/C][C]7.0912[/C][C]0[/C][/ROW]
[ROW][C]35[/C][C]0.430178[/C][C]6.8017[/C][C]0[/C][/ROW]
[ROW][C]36[/C][C]0.4123[/C][C]6.519[/C][C]0[/C][/ROW]
[ROW][C]37[/C][C]0.388989[/C][C]6.1504[/C][C]0[/C][/ROW]
[ROW][C]38[/C][C]0.367133[/C][C]5.8049[/C][C]0[/C][/ROW]
[ROW][C]39[/C][C]0.348206[/C][C]5.5056[/C][C]0[/C][/ROW]
[ROW][C]40[/C][C]0.327815[/C][C]5.1832[/C][C]0[/C][/ROW]
[ROW][C]41[/C][C]0.309666[/C][C]4.8962[/C][C]1e-06[/C][/ROW]
[ROW][C]42[/C][C]0.291052[/C][C]4.6019[/C][C]3e-06[/C][/ROW]
[ROW][C]43[/C][C]0.273192[/C][C]4.3195[/C][C]1.1e-05[/C][/ROW]
[ROW][C]44[/C][C]0.256682[/C][C]4.0585[/C][C]3.3e-05[/C][/ROW]
[ROW][C]45[/C][C]0.239383[/C][C]3.785[/C][C]9.6e-05[/C][/ROW]
[ROW][C]46[/C][C]0.225412[/C][C]3.5641[/C][C]0.000219[/C][/ROW]
[ROW][C]47[/C][C]0.211465[/C][C]3.3436[/C][C]0.000477[/C][/ROW]
[ROW][C]48[/C][C]0.197655[/C][C]3.1252[/C][C]0.000993[/C][/ROW]
[ROW][C]49[/C][C]0.180765[/C][C]2.8581[/C][C]0.00231[/C][/ROW]
[ROW][C]50[/C][C]0.163015[/C][C]2.5775[/C][C]0.005263[/C][/ROW]
[ROW][C]51[/C][C]0.148032[/C][C]2.3406[/C][C]0.01002[/C][/ROW]
[ROW][C]52[/C][C]0.132067[/C][C]2.0882[/C][C]0.018898[/C][/ROW]
[ROW][C]53[/C][C]0.117648[/C][C]1.8602[/C][C]0.032018[/C][/ROW]
[ROW][C]54[/C][C]0.10404[/C][C]1.645[/C][C]0.050612[/C][/ROW]
[ROW][C]55[/C][C]0.091308[/C][C]1.4437[/C][C]0.075038[/C][/ROW]
[ROW][C]56[/C][C]0.081342[/C][C]1.2861[/C][C]0.099794[/C][/ROW]
[ROW][C]57[/C][C]0.069227[/C][C]1.0946[/C][C]0.137377[/C][/ROW]
[ROW][C]58[/C][C]0.059326[/C][C]0.938[/C][C]0.174569[/C][/ROW]
[ROW][C]59[/C][C]0.050124[/C][C]0.7925[/C][C]0.214403[/C][/ROW]
[ROW][C]60[/C][C]0.041622[/C][C]0.6581[/C][C]0.255542[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=32614&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=32614&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
10.98561315.58390
20.97348115.39210
30.96174315.20650
40.95060315.03040
50.94038914.86880
60.92916414.69140
70.91831814.51990
80.90742314.34760
90.89593314.16590
100.88513313.99520
110.87403613.81970
120.86375513.65720
130.84499813.36060
140.82769313.0870
150.81090912.82160
160.79323712.54220
170.77706212.28640
180.76027612.0210
190.74340711.75430
200.72763111.50490
210.71076611.23820
220.69461210.98280
230.67880210.73280
240.66262510.4770
250.63940410.10990
260.6158999.73820
270.5931719.37890
280.5705579.02130
290.5497128.69170
300.5279018.34680
310.507328.02140
320.4870847.70150
330.4671177.38580
340.4484897.09120
350.4301786.80170
360.41236.5190
370.3889896.15040
380.3671335.80490
390.3482065.50560
400.3278155.18320
410.3096664.89621e-06
420.2910524.60193e-06
430.2731924.31951.1e-05
440.2566824.05853.3e-05
450.2393833.7859.6e-05
460.2254123.56410.000219
470.2114653.34360.000477
480.1976553.12520.000993
490.1807652.85810.00231
500.1630152.57750.005263
510.1480322.34060.01002
520.1320672.08820.018898
530.1176481.86020.032018
540.104041.6450.050612
550.0913081.44370.075038
560.0813421.28610.099794
570.0692271.09460.137377
580.0593260.9380.174569
590.0501240.79250.214403
600.0416220.65810.255542







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.98561315.58390
20.07171.13370.129009
30.0138270.21860.413562
40.0177410.28050.389658
50.0306680.48490.314087
6-0.034609-0.54720.292357
70.0041270.06530.474009
8-0.005163-0.08160.4675
9-0.026768-0.42320.336241
100.01340.21190.416189
11-0.011835-0.18710.425858
120.0206190.3260.372345
13-0.301094-4.76072e-06
140.0003550.00560.497762
150.0005290.00840.496667
16-0.052408-0.82860.20405
170.0203510.32180.373942
18-0.006624-0.10470.458337
19-0.021653-0.34240.366179
200.0259870.41090.340755
21-0.025112-0.39710.345833
22-0.003859-0.0610.475695
230.0136490.21580.414655
24-0.028347-0.44820.327195
25-0.197679-3.12560.000992
26-0.073646-1.16440.122677
27-0.011832-0.18710.425874
28-0.00621-0.09820.460928
290.0147620.23340.407819
30-0.029644-0.46870.31984
310.0367980.58180.280604
32-0.020712-0.32750.371786
330.0321660.50860.305746
340.0278390.44020.330098
350.0012810.02030.491928
360.0214750.33950.367241
37-0.10432-1.64940.050156
380.0263750.4170.338511
390.0879731.3910.082735
40-0.053241-0.84180.200348
410.0227880.36030.359459
420.0095850.15160.439831
43-0.007398-0.1170.453491
440.0207430.3280.371601
45-0.017522-0.27710.390985
460.0846311.33810.091034
470.0024820.03920.484361
480.0039460.06240.475152
49-0.012418-0.19630.422248
50-0.053958-0.85310.197198
510.0248770.39330.347204
52-0.008923-0.14110.44396
53-0.020151-0.31860.375141
540.0260910.41250.340149
550.0300950.47580.317303
560.0534220.84470.199552
57-0.058867-0.93080.176434
580.006890.10890.45667
590.0078690.12440.450545
600.036440.57620.282508

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.985613 & 15.5839 & 0 \tabularnewline
2 & 0.0717 & 1.1337 & 0.129009 \tabularnewline
3 & 0.013827 & 0.2186 & 0.413562 \tabularnewline
4 & 0.017741 & 0.2805 & 0.389658 \tabularnewline
5 & 0.030668 & 0.4849 & 0.314087 \tabularnewline
6 & -0.034609 & -0.5472 & 0.292357 \tabularnewline
7 & 0.004127 & 0.0653 & 0.474009 \tabularnewline
8 & -0.005163 & -0.0816 & 0.4675 \tabularnewline
9 & -0.026768 & -0.4232 & 0.336241 \tabularnewline
10 & 0.0134 & 0.2119 & 0.416189 \tabularnewline
11 & -0.011835 & -0.1871 & 0.425858 \tabularnewline
12 & 0.020619 & 0.326 & 0.372345 \tabularnewline
13 & -0.301094 & -4.7607 & 2e-06 \tabularnewline
14 & 0.000355 & 0.0056 & 0.497762 \tabularnewline
15 & 0.000529 & 0.0084 & 0.496667 \tabularnewline
16 & -0.052408 & -0.8286 & 0.20405 \tabularnewline
17 & 0.020351 & 0.3218 & 0.373942 \tabularnewline
18 & -0.006624 & -0.1047 & 0.458337 \tabularnewline
19 & -0.021653 & -0.3424 & 0.366179 \tabularnewline
20 & 0.025987 & 0.4109 & 0.340755 \tabularnewline
21 & -0.025112 & -0.3971 & 0.345833 \tabularnewline
22 & -0.003859 & -0.061 & 0.475695 \tabularnewline
23 & 0.013649 & 0.2158 & 0.414655 \tabularnewline
24 & -0.028347 & -0.4482 & 0.327195 \tabularnewline
25 & -0.197679 & -3.1256 & 0.000992 \tabularnewline
26 & -0.073646 & -1.1644 & 0.122677 \tabularnewline
27 & -0.011832 & -0.1871 & 0.425874 \tabularnewline
28 & -0.00621 & -0.0982 & 0.460928 \tabularnewline
29 & 0.014762 & 0.2334 & 0.407819 \tabularnewline
30 & -0.029644 & -0.4687 & 0.31984 \tabularnewline
31 & 0.036798 & 0.5818 & 0.280604 \tabularnewline
32 & -0.020712 & -0.3275 & 0.371786 \tabularnewline
33 & 0.032166 & 0.5086 & 0.305746 \tabularnewline
34 & 0.027839 & 0.4402 & 0.330098 \tabularnewline
35 & 0.001281 & 0.0203 & 0.491928 \tabularnewline
36 & 0.021475 & 0.3395 & 0.367241 \tabularnewline
37 & -0.10432 & -1.6494 & 0.050156 \tabularnewline
38 & 0.026375 & 0.417 & 0.338511 \tabularnewline
39 & 0.087973 & 1.391 & 0.082735 \tabularnewline
40 & -0.053241 & -0.8418 & 0.200348 \tabularnewline
41 & 0.022788 & 0.3603 & 0.359459 \tabularnewline
42 & 0.009585 & 0.1516 & 0.439831 \tabularnewline
43 & -0.007398 & -0.117 & 0.453491 \tabularnewline
44 & 0.020743 & 0.328 & 0.371601 \tabularnewline
45 & -0.017522 & -0.2771 & 0.390985 \tabularnewline
46 & 0.084631 & 1.3381 & 0.091034 \tabularnewline
47 & 0.002482 & 0.0392 & 0.484361 \tabularnewline
48 & 0.003946 & 0.0624 & 0.475152 \tabularnewline
49 & -0.012418 & -0.1963 & 0.422248 \tabularnewline
50 & -0.053958 & -0.8531 & 0.197198 \tabularnewline
51 & 0.024877 & 0.3933 & 0.347204 \tabularnewline
52 & -0.008923 & -0.1411 & 0.44396 \tabularnewline
53 & -0.020151 & -0.3186 & 0.375141 \tabularnewline
54 & 0.026091 & 0.4125 & 0.340149 \tabularnewline
55 & 0.030095 & 0.4758 & 0.317303 \tabularnewline
56 & 0.053422 & 0.8447 & 0.199552 \tabularnewline
57 & -0.058867 & -0.9308 & 0.176434 \tabularnewline
58 & 0.00689 & 0.1089 & 0.45667 \tabularnewline
59 & 0.007869 & 0.1244 & 0.450545 \tabularnewline
60 & 0.03644 & 0.5762 & 0.282508 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=32614&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]0.985613[/C][C]15.5839[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.0717[/C][C]1.1337[/C][C]0.129009[/C][/ROW]
[ROW][C]3[/C][C]0.013827[/C][C]0.2186[/C][C]0.413562[/C][/ROW]
[ROW][C]4[/C][C]0.017741[/C][C]0.2805[/C][C]0.389658[/C][/ROW]
[ROW][C]5[/C][C]0.030668[/C][C]0.4849[/C][C]0.314087[/C][/ROW]
[ROW][C]6[/C][C]-0.034609[/C][C]-0.5472[/C][C]0.292357[/C][/ROW]
[ROW][C]7[/C][C]0.004127[/C][C]0.0653[/C][C]0.474009[/C][/ROW]
[ROW][C]8[/C][C]-0.005163[/C][C]-0.0816[/C][C]0.4675[/C][/ROW]
[ROW][C]9[/C][C]-0.026768[/C][C]-0.4232[/C][C]0.336241[/C][/ROW]
[ROW][C]10[/C][C]0.0134[/C][C]0.2119[/C][C]0.416189[/C][/ROW]
[ROW][C]11[/C][C]-0.011835[/C][C]-0.1871[/C][C]0.425858[/C][/ROW]
[ROW][C]12[/C][C]0.020619[/C][C]0.326[/C][C]0.372345[/C][/ROW]
[ROW][C]13[/C][C]-0.301094[/C][C]-4.7607[/C][C]2e-06[/C][/ROW]
[ROW][C]14[/C][C]0.000355[/C][C]0.0056[/C][C]0.497762[/C][/ROW]
[ROW][C]15[/C][C]0.000529[/C][C]0.0084[/C][C]0.496667[/C][/ROW]
[ROW][C]16[/C][C]-0.052408[/C][C]-0.8286[/C][C]0.20405[/C][/ROW]
[ROW][C]17[/C][C]0.020351[/C][C]0.3218[/C][C]0.373942[/C][/ROW]
[ROW][C]18[/C][C]-0.006624[/C][C]-0.1047[/C][C]0.458337[/C][/ROW]
[ROW][C]19[/C][C]-0.021653[/C][C]-0.3424[/C][C]0.366179[/C][/ROW]
[ROW][C]20[/C][C]0.025987[/C][C]0.4109[/C][C]0.340755[/C][/ROW]
[ROW][C]21[/C][C]-0.025112[/C][C]-0.3971[/C][C]0.345833[/C][/ROW]
[ROW][C]22[/C][C]-0.003859[/C][C]-0.061[/C][C]0.475695[/C][/ROW]
[ROW][C]23[/C][C]0.013649[/C][C]0.2158[/C][C]0.414655[/C][/ROW]
[ROW][C]24[/C][C]-0.028347[/C][C]-0.4482[/C][C]0.327195[/C][/ROW]
[ROW][C]25[/C][C]-0.197679[/C][C]-3.1256[/C][C]0.000992[/C][/ROW]
[ROW][C]26[/C][C]-0.073646[/C][C]-1.1644[/C][C]0.122677[/C][/ROW]
[ROW][C]27[/C][C]-0.011832[/C][C]-0.1871[/C][C]0.425874[/C][/ROW]
[ROW][C]28[/C][C]-0.00621[/C][C]-0.0982[/C][C]0.460928[/C][/ROW]
[ROW][C]29[/C][C]0.014762[/C][C]0.2334[/C][C]0.407819[/C][/ROW]
[ROW][C]30[/C][C]-0.029644[/C][C]-0.4687[/C][C]0.31984[/C][/ROW]
[ROW][C]31[/C][C]0.036798[/C][C]0.5818[/C][C]0.280604[/C][/ROW]
[ROW][C]32[/C][C]-0.020712[/C][C]-0.3275[/C][C]0.371786[/C][/ROW]
[ROW][C]33[/C][C]0.032166[/C][C]0.5086[/C][C]0.305746[/C][/ROW]
[ROW][C]34[/C][C]0.027839[/C][C]0.4402[/C][C]0.330098[/C][/ROW]
[ROW][C]35[/C][C]0.001281[/C][C]0.0203[/C][C]0.491928[/C][/ROW]
[ROW][C]36[/C][C]0.021475[/C][C]0.3395[/C][C]0.367241[/C][/ROW]
[ROW][C]37[/C][C]-0.10432[/C][C]-1.6494[/C][C]0.050156[/C][/ROW]
[ROW][C]38[/C][C]0.026375[/C][C]0.417[/C][C]0.338511[/C][/ROW]
[ROW][C]39[/C][C]0.087973[/C][C]1.391[/C][C]0.082735[/C][/ROW]
[ROW][C]40[/C][C]-0.053241[/C][C]-0.8418[/C][C]0.200348[/C][/ROW]
[ROW][C]41[/C][C]0.022788[/C][C]0.3603[/C][C]0.359459[/C][/ROW]
[ROW][C]42[/C][C]0.009585[/C][C]0.1516[/C][C]0.439831[/C][/ROW]
[ROW][C]43[/C][C]-0.007398[/C][C]-0.117[/C][C]0.453491[/C][/ROW]
[ROW][C]44[/C][C]0.020743[/C][C]0.328[/C][C]0.371601[/C][/ROW]
[ROW][C]45[/C][C]-0.017522[/C][C]-0.2771[/C][C]0.390985[/C][/ROW]
[ROW][C]46[/C][C]0.084631[/C][C]1.3381[/C][C]0.091034[/C][/ROW]
[ROW][C]47[/C][C]0.002482[/C][C]0.0392[/C][C]0.484361[/C][/ROW]
[ROW][C]48[/C][C]0.003946[/C][C]0.0624[/C][C]0.475152[/C][/ROW]
[ROW][C]49[/C][C]-0.012418[/C][C]-0.1963[/C][C]0.422248[/C][/ROW]
[ROW][C]50[/C][C]-0.053958[/C][C]-0.8531[/C][C]0.197198[/C][/ROW]
[ROW][C]51[/C][C]0.024877[/C][C]0.3933[/C][C]0.347204[/C][/ROW]
[ROW][C]52[/C][C]-0.008923[/C][C]-0.1411[/C][C]0.44396[/C][/ROW]
[ROW][C]53[/C][C]-0.020151[/C][C]-0.3186[/C][C]0.375141[/C][/ROW]
[ROW][C]54[/C][C]0.026091[/C][C]0.4125[/C][C]0.340149[/C][/ROW]
[ROW][C]55[/C][C]0.030095[/C][C]0.4758[/C][C]0.317303[/C][/ROW]
[ROW][C]56[/C][C]0.053422[/C][C]0.8447[/C][C]0.199552[/C][/ROW]
[ROW][C]57[/C][C]-0.058867[/C][C]-0.9308[/C][C]0.176434[/C][/ROW]
[ROW][C]58[/C][C]0.00689[/C][C]0.1089[/C][C]0.45667[/C][/ROW]
[ROW][C]59[/C][C]0.007869[/C][C]0.1244[/C][C]0.450545[/C][/ROW]
[ROW][C]60[/C][C]0.03644[/C][C]0.5762[/C][C]0.282508[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=32614&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=32614&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
10.98561315.58390
20.07171.13370.129009
30.0138270.21860.413562
40.0177410.28050.389658
50.0306680.48490.314087
6-0.034609-0.54720.292357
70.0041270.06530.474009
8-0.005163-0.08160.4675
9-0.026768-0.42320.336241
100.01340.21190.416189
11-0.011835-0.18710.425858
120.0206190.3260.372345
13-0.301094-4.76072e-06
140.0003550.00560.497762
150.0005290.00840.496667
16-0.052408-0.82860.20405
170.0203510.32180.373942
18-0.006624-0.10470.458337
19-0.021653-0.34240.366179
200.0259870.41090.340755
21-0.025112-0.39710.345833
22-0.003859-0.0610.475695
230.0136490.21580.414655
24-0.028347-0.44820.327195
25-0.197679-3.12560.000992
26-0.073646-1.16440.122677
27-0.011832-0.18710.425874
28-0.00621-0.09820.460928
290.0147620.23340.407819
30-0.029644-0.46870.31984
310.0367980.58180.280604
32-0.020712-0.32750.371786
330.0321660.50860.305746
340.0278390.44020.330098
350.0012810.02030.491928
360.0214750.33950.367241
37-0.10432-1.64940.050156
380.0263750.4170.338511
390.0879731.3910.082735
40-0.053241-0.84180.200348
410.0227880.36030.359459
420.0095850.15160.439831
43-0.007398-0.1170.453491
440.0207430.3280.371601
45-0.017522-0.27710.390985
460.0846311.33810.091034
470.0024820.03920.484361
480.0039460.06240.475152
49-0.012418-0.19630.422248
50-0.053958-0.85310.197198
510.0248770.39330.347204
52-0.008923-0.14110.44396
53-0.020151-0.31860.375141
540.0260910.41250.340149
550.0300950.47580.317303
560.0534220.84470.199552
57-0.058867-0.93080.176434
580.006890.10890.45667
590.0078690.12440.450545
600.036440.57620.282508



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