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of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationWed, 04 Aug 2010 14:57:12 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Aug/04/t1280933814gk7n6ihghm4o9io.htm/, Retrieved Fri, 03 May 2024 04:09:22 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=78336, Retrieved Fri, 03 May 2024 04:09:22 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsBogaerts Yannik
Estimated Impact143
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [Tijdreeks B stap 17] [2010-08-04 14:57:12] [1596366c2ece8f787477cc7d1246d4c7] [Current]
-         [(Partial) Autocorrelation Function] [Tijdreeks B stap 18] [2010-08-04 15:06:28] [f713c1ac4846c73da8c41c71cf7e0185]
- RM      [Variability] [Tijdreeks B stap 20] [2010-08-04 15:16:53] [f713c1ac4846c73da8c41c71cf7e0185]
- RM      [Standard Deviation-Mean Plot] [Tijdreeks B stap 21] [2010-08-04 15:24:55] [f713c1ac4846c73da8c41c71cf7e0185]
- RM      [Classical Decomposition] [Tijdreeks B stap 24] [2010-08-04 15:48:15] [f713c1ac4846c73da8c41c71cf7e0185]
- RM      [Exponential Smoothing] [Tijdreeks B stap 27] [2010-08-04 16:00:42] [f713c1ac4846c73da8c41c71cf7e0185]
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Dataseries X:
83
82
81
79
77
76
77
79
80
80
81
83
83
76
77
72
64
70
69
78
84
91
96
101
99
98
98
97
92
106
100
107
111
115
117
120
117
108
111
118
113
129
122
135
146
151
147
151
156
144
151
159
148
170
163
179
184
192
197
199
205
194
200
211
211
230
229
236
239
250
254
254
264
258
264
277
274
284
279
290
287
297
302
294




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'RServer@AstonUniversity' @ vre.aston.ac.uk

\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 & 2 seconds \tabularnewline
R Server & 'RServer@AstonUniversity' @ vre.aston.ac.uk \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=78336&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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'RServer@AstonUniversity' @ vre.aston.ac.uk[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=78336&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=78336&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 time2 seconds
R Server'RServer@AstonUniversity' @ vre.aston.ac.uk







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.9668778.86160
20.9330158.55120
30.8968248.21950
40.8613277.89420
50.8247487.55890
60.7895847.23670
70.7531096.90240
80.7176046.5770
90.6821746.25220
100.6487195.94560
110.6130365.61860
120.5777085.29480
130.5379534.93042e-06
140.4986214.56998e-06
150.4580564.19823.3e-05
160.4188713.8390.000119
170.3792023.47540.000405
180.34173.13170.001196
190.3043472.78940.003266
200.2718922.49190.007335
210.2412242.21090.014882
220.2134581.95640.026872
230.1845221.69120.047256
240.1548581.41930.079756
250.1212681.11140.134776
260.0891620.81720.208068
270.0567650.52030.302125
280.0266260.2440.403902
29-0.002738-0.02510.490021
30-0.025213-0.23110.408908
31-0.050166-0.45980.323432
32-0.069104-0.63340.264113
33-0.090448-0.8290.204734
34-0.109497-1.00360.159236
35-0.128747-1.180.120668
36-0.150263-1.37720.086057
37-0.173792-1.59280.057477
38-0.197145-1.80690.037182
39-0.222328-2.03770.022365
40-0.244481-2.24070.013842
41-0.263848-2.41820.008879
42-0.27701-2.53880.006483
43-0.292841-2.68390.004382
44-0.302715-2.77440.003407
45-0.312316-2.86240.002653
46-0.319263-2.92610.002207
47-0.32754-3.0020.001766
48-0.337692-3.0950.001337
49-0.349358-3.20190.000964
50-0.361602-3.31410.000679
51-0.372566-3.41460.000493
52-0.380759-3.48970.000386
53-0.389449-3.56940.000297
54-0.392685-3.5990.000269
55-0.398477-3.65210.000226
56-0.3977-3.6450.000231
57-0.397795-3.64590.00023
58-0.397048-3.6390.000236
59-0.396179-3.6310.000242
60-0.395012-3.62030.000251

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.966877 & 8.8616 & 0 \tabularnewline
2 & 0.933015 & 8.5512 & 0 \tabularnewline
3 & 0.896824 & 8.2195 & 0 \tabularnewline
4 & 0.861327 & 7.8942 & 0 \tabularnewline
5 & 0.824748 & 7.5589 & 0 \tabularnewline
6 & 0.789584 & 7.2367 & 0 \tabularnewline
7 & 0.753109 & 6.9024 & 0 \tabularnewline
8 & 0.717604 & 6.577 & 0 \tabularnewline
9 & 0.682174 & 6.2522 & 0 \tabularnewline
10 & 0.648719 & 5.9456 & 0 \tabularnewline
11 & 0.613036 & 5.6186 & 0 \tabularnewline
12 & 0.577708 & 5.2948 & 0 \tabularnewline
13 & 0.537953 & 4.9304 & 2e-06 \tabularnewline
14 & 0.498621 & 4.5699 & 8e-06 \tabularnewline
15 & 0.458056 & 4.1982 & 3.3e-05 \tabularnewline
16 & 0.418871 & 3.839 & 0.000119 \tabularnewline
17 & 0.379202 & 3.4754 & 0.000405 \tabularnewline
18 & 0.3417 & 3.1317 & 0.001196 \tabularnewline
19 & 0.304347 & 2.7894 & 0.003266 \tabularnewline
20 & 0.271892 & 2.4919 & 0.007335 \tabularnewline
21 & 0.241224 & 2.2109 & 0.014882 \tabularnewline
22 & 0.213458 & 1.9564 & 0.026872 \tabularnewline
23 & 0.184522 & 1.6912 & 0.047256 \tabularnewline
24 & 0.154858 & 1.4193 & 0.079756 \tabularnewline
25 & 0.121268 & 1.1114 & 0.134776 \tabularnewline
26 & 0.089162 & 0.8172 & 0.208068 \tabularnewline
27 & 0.056765 & 0.5203 & 0.302125 \tabularnewline
28 & 0.026626 & 0.244 & 0.403902 \tabularnewline
29 & -0.002738 & -0.0251 & 0.490021 \tabularnewline
30 & -0.025213 & -0.2311 & 0.408908 \tabularnewline
31 & -0.050166 & -0.4598 & 0.323432 \tabularnewline
32 & -0.069104 & -0.6334 & 0.264113 \tabularnewline
33 & -0.090448 & -0.829 & 0.204734 \tabularnewline
34 & -0.109497 & -1.0036 & 0.159236 \tabularnewline
35 & -0.128747 & -1.18 & 0.120668 \tabularnewline
36 & -0.150263 & -1.3772 & 0.086057 \tabularnewline
37 & -0.173792 & -1.5928 & 0.057477 \tabularnewline
38 & -0.197145 & -1.8069 & 0.037182 \tabularnewline
39 & -0.222328 & -2.0377 & 0.022365 \tabularnewline
40 & -0.244481 & -2.2407 & 0.013842 \tabularnewline
41 & -0.263848 & -2.4182 & 0.008879 \tabularnewline
42 & -0.27701 & -2.5388 & 0.006483 \tabularnewline
43 & -0.292841 & -2.6839 & 0.004382 \tabularnewline
44 & -0.302715 & -2.7744 & 0.003407 \tabularnewline
45 & -0.312316 & -2.8624 & 0.002653 \tabularnewline
46 & -0.319263 & -2.9261 & 0.002207 \tabularnewline
47 & -0.32754 & -3.002 & 0.001766 \tabularnewline
48 & -0.337692 & -3.095 & 0.001337 \tabularnewline
49 & -0.349358 & -3.2019 & 0.000964 \tabularnewline
50 & -0.361602 & -3.3141 & 0.000679 \tabularnewline
51 & -0.372566 & -3.4146 & 0.000493 \tabularnewline
52 & -0.380759 & -3.4897 & 0.000386 \tabularnewline
53 & -0.389449 & -3.5694 & 0.000297 \tabularnewline
54 & -0.392685 & -3.599 & 0.000269 \tabularnewline
55 & -0.398477 & -3.6521 & 0.000226 \tabularnewline
56 & -0.3977 & -3.645 & 0.000231 \tabularnewline
57 & -0.397795 & -3.6459 & 0.00023 \tabularnewline
58 & -0.397048 & -3.639 & 0.000236 \tabularnewline
59 & -0.396179 & -3.631 & 0.000242 \tabularnewline
60 & -0.395012 & -3.6203 & 0.000251 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=78336&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]0.966877[/C][C]8.8616[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.933015[/C][C]8.5512[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.896824[/C][C]8.2195[/C][C]0[/C][/ROW]
[ROW][C]4[/C][C]0.861327[/C][C]7.8942[/C][C]0[/C][/ROW]
[ROW][C]5[/C][C]0.824748[/C][C]7.5589[/C][C]0[/C][/ROW]
[ROW][C]6[/C][C]0.789584[/C][C]7.2367[/C][C]0[/C][/ROW]
[ROW][C]7[/C][C]0.753109[/C][C]6.9024[/C][C]0[/C][/ROW]
[ROW][C]8[/C][C]0.717604[/C][C]6.577[/C][C]0[/C][/ROW]
[ROW][C]9[/C][C]0.682174[/C][C]6.2522[/C][C]0[/C][/ROW]
[ROW][C]10[/C][C]0.648719[/C][C]5.9456[/C][C]0[/C][/ROW]
[ROW][C]11[/C][C]0.613036[/C][C]5.6186[/C][C]0[/C][/ROW]
[ROW][C]12[/C][C]0.577708[/C][C]5.2948[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]0.537953[/C][C]4.9304[/C][C]2e-06[/C][/ROW]
[ROW][C]14[/C][C]0.498621[/C][C]4.5699[/C][C]8e-06[/C][/ROW]
[ROW][C]15[/C][C]0.458056[/C][C]4.1982[/C][C]3.3e-05[/C][/ROW]
[ROW][C]16[/C][C]0.418871[/C][C]3.839[/C][C]0.000119[/C][/ROW]
[ROW][C]17[/C][C]0.379202[/C][C]3.4754[/C][C]0.000405[/C][/ROW]
[ROW][C]18[/C][C]0.3417[/C][C]3.1317[/C][C]0.001196[/C][/ROW]
[ROW][C]19[/C][C]0.304347[/C][C]2.7894[/C][C]0.003266[/C][/ROW]
[ROW][C]20[/C][C]0.271892[/C][C]2.4919[/C][C]0.007335[/C][/ROW]
[ROW][C]21[/C][C]0.241224[/C][C]2.2109[/C][C]0.014882[/C][/ROW]
[ROW][C]22[/C][C]0.213458[/C][C]1.9564[/C][C]0.026872[/C][/ROW]
[ROW][C]23[/C][C]0.184522[/C][C]1.6912[/C][C]0.047256[/C][/ROW]
[ROW][C]24[/C][C]0.154858[/C][C]1.4193[/C][C]0.079756[/C][/ROW]
[ROW][C]25[/C][C]0.121268[/C][C]1.1114[/C][C]0.134776[/C][/ROW]
[ROW][C]26[/C][C]0.089162[/C][C]0.8172[/C][C]0.208068[/C][/ROW]
[ROW][C]27[/C][C]0.056765[/C][C]0.5203[/C][C]0.302125[/C][/ROW]
[ROW][C]28[/C][C]0.026626[/C][C]0.244[/C][C]0.403902[/C][/ROW]
[ROW][C]29[/C][C]-0.002738[/C][C]-0.0251[/C][C]0.490021[/C][/ROW]
[ROW][C]30[/C][C]-0.025213[/C][C]-0.2311[/C][C]0.408908[/C][/ROW]
[ROW][C]31[/C][C]-0.050166[/C][C]-0.4598[/C][C]0.323432[/C][/ROW]
[ROW][C]32[/C][C]-0.069104[/C][C]-0.6334[/C][C]0.264113[/C][/ROW]
[ROW][C]33[/C][C]-0.090448[/C][C]-0.829[/C][C]0.204734[/C][/ROW]
[ROW][C]34[/C][C]-0.109497[/C][C]-1.0036[/C][C]0.159236[/C][/ROW]
[ROW][C]35[/C][C]-0.128747[/C][C]-1.18[/C][C]0.120668[/C][/ROW]
[ROW][C]36[/C][C]-0.150263[/C][C]-1.3772[/C][C]0.086057[/C][/ROW]
[ROW][C]37[/C][C]-0.173792[/C][C]-1.5928[/C][C]0.057477[/C][/ROW]
[ROW][C]38[/C][C]-0.197145[/C][C]-1.8069[/C][C]0.037182[/C][/ROW]
[ROW][C]39[/C][C]-0.222328[/C][C]-2.0377[/C][C]0.022365[/C][/ROW]
[ROW][C]40[/C][C]-0.244481[/C][C]-2.2407[/C][C]0.013842[/C][/ROW]
[ROW][C]41[/C][C]-0.263848[/C][C]-2.4182[/C][C]0.008879[/C][/ROW]
[ROW][C]42[/C][C]-0.27701[/C][C]-2.5388[/C][C]0.006483[/C][/ROW]
[ROW][C]43[/C][C]-0.292841[/C][C]-2.6839[/C][C]0.004382[/C][/ROW]
[ROW][C]44[/C][C]-0.302715[/C][C]-2.7744[/C][C]0.003407[/C][/ROW]
[ROW][C]45[/C][C]-0.312316[/C][C]-2.8624[/C][C]0.002653[/C][/ROW]
[ROW][C]46[/C][C]-0.319263[/C][C]-2.9261[/C][C]0.002207[/C][/ROW]
[ROW][C]47[/C][C]-0.32754[/C][C]-3.002[/C][C]0.001766[/C][/ROW]
[ROW][C]48[/C][C]-0.337692[/C][C]-3.095[/C][C]0.001337[/C][/ROW]
[ROW][C]49[/C][C]-0.349358[/C][C]-3.2019[/C][C]0.000964[/C][/ROW]
[ROW][C]50[/C][C]-0.361602[/C][C]-3.3141[/C][C]0.000679[/C][/ROW]
[ROW][C]51[/C][C]-0.372566[/C][C]-3.4146[/C][C]0.000493[/C][/ROW]
[ROW][C]52[/C][C]-0.380759[/C][C]-3.4897[/C][C]0.000386[/C][/ROW]
[ROW][C]53[/C][C]-0.389449[/C][C]-3.5694[/C][C]0.000297[/C][/ROW]
[ROW][C]54[/C][C]-0.392685[/C][C]-3.599[/C][C]0.000269[/C][/ROW]
[ROW][C]55[/C][C]-0.398477[/C][C]-3.6521[/C][C]0.000226[/C][/ROW]
[ROW][C]56[/C][C]-0.3977[/C][C]-3.645[/C][C]0.000231[/C][/ROW]
[ROW][C]57[/C][C]-0.397795[/C][C]-3.6459[/C][C]0.00023[/C][/ROW]
[ROW][C]58[/C][C]-0.397048[/C][C]-3.639[/C][C]0.000236[/C][/ROW]
[ROW][C]59[/C][C]-0.396179[/C][C]-3.631[/C][C]0.000242[/C][/ROW]
[ROW][C]60[/C][C]-0.395012[/C][C]-3.6203[/C][C]0.000251[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=78336&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=78336&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
10.9668778.86160
20.9330158.55120
30.8968248.21950
40.8613277.89420
50.8247487.55890
60.7895847.23670
70.7531096.90240
80.7176046.5770
90.6821746.25220
100.6487195.94560
110.6130365.61860
120.5777085.29480
130.5379534.93042e-06
140.4986214.56998e-06
150.4580564.19823.3e-05
160.4188713.8390.000119
170.3792023.47540.000405
180.34173.13170.001196
190.3043472.78940.003266
200.2718922.49190.007335
210.2412242.21090.014882
220.2134581.95640.026872
230.1845221.69120.047256
240.1548581.41930.079756
250.1212681.11140.134776
260.0891620.81720.208068
270.0567650.52030.302125
280.0266260.2440.403902
29-0.002738-0.02510.490021
30-0.025213-0.23110.408908
31-0.050166-0.45980.323432
32-0.069104-0.63340.264113
33-0.090448-0.8290.204734
34-0.109497-1.00360.159236
35-0.128747-1.180.120668
36-0.150263-1.37720.086057
37-0.173792-1.59280.057477
38-0.197145-1.80690.037182
39-0.222328-2.03770.022365
40-0.244481-2.24070.013842
41-0.263848-2.41820.008879
42-0.27701-2.53880.006483
43-0.292841-2.68390.004382
44-0.302715-2.77440.003407
45-0.312316-2.86240.002653
46-0.319263-2.92610.002207
47-0.32754-3.0020.001766
48-0.337692-3.0950.001337
49-0.349358-3.20190.000964
50-0.361602-3.31410.000679
51-0.372566-3.41460.000493
52-0.380759-3.48970.000386
53-0.389449-3.56940.000297
54-0.392685-3.5990.000269
55-0.398477-3.65210.000226
56-0.3977-3.6450.000231
57-0.397795-3.64590.00023
58-0.397048-3.6390.000236
59-0.396179-3.6310.000242
60-0.395012-3.62030.000251







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.9668778.86160
2-0.028169-0.25820.398453
3-0.053175-0.48740.313636
4-0.007696-0.07050.471967
5-0.034726-0.31830.375535
60.0013350.01220.495133
7-0.0391-0.35840.360487
8-0.007206-0.0660.473749
9-0.017803-0.16320.435391
100.0073940.06780.473067
11-0.054182-0.49660.310388
12-0.01903-0.17440.430981
13-0.087432-0.80130.212601
14-0.020144-0.18460.426987
15-0.039226-0.35950.360057
16-0.010134-0.09290.463111
17-0.030631-0.28070.3898
180.0001230.00110.499552
19-0.021977-0.20140.420429
200.0412890.37840.353038
210.0032610.02990.488113
220.0097480.08930.46451
23-0.037473-0.34340.366059
24-0.04246-0.38920.349075
25-0.077875-0.71370.238684
26-0.009449-0.08660.465598
27-0.025638-0.2350.407401
28-0.001238-0.01130.495488
29-0.010344-0.09480.462347
300.0687150.62980.265273
31-0.063474-0.58170.281148
320.0485640.44510.328697
33-0.064043-0.5870.2794
34-0.005156-0.04730.481212
35-0.016818-0.15410.438934
36-0.070766-0.64860.25919
37-0.041581-0.38110.352045
38-0.031887-0.29230.385407
39-0.046123-0.42270.336788
400.0070510.06460.474312
410.0228920.20980.417161
420.0459840.42140.337253
43-0.064576-0.59180.277771
440.0397710.36450.358198
45-0.017638-0.16170.435983
460.0022880.0210.49166
47-0.032208-0.29520.38429
48-0.058069-0.53220.297993
49-0.020132-0.18450.42703
50-0.041026-0.3760.353927
510.011030.10110.459859
52-0.001926-0.01760.49298
53-0.03348-0.30690.379858
540.0357960.32810.371836
55-0.062215-0.57020.285028
560.0532570.48810.313372
57-0.034432-0.31560.376555
58-0.027903-0.25570.399391
590.0045350.04160.483472
60-0.020265-0.18570.426553

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.966877 & 8.8616 & 0 \tabularnewline
2 & -0.028169 & -0.2582 & 0.398453 \tabularnewline
3 & -0.053175 & -0.4874 & 0.313636 \tabularnewline
4 & -0.007696 & -0.0705 & 0.471967 \tabularnewline
5 & -0.034726 & -0.3183 & 0.375535 \tabularnewline
6 & 0.001335 & 0.0122 & 0.495133 \tabularnewline
7 & -0.0391 & -0.3584 & 0.360487 \tabularnewline
8 & -0.007206 & -0.066 & 0.473749 \tabularnewline
9 & -0.017803 & -0.1632 & 0.435391 \tabularnewline
10 & 0.007394 & 0.0678 & 0.473067 \tabularnewline
11 & -0.054182 & -0.4966 & 0.310388 \tabularnewline
12 & -0.01903 & -0.1744 & 0.430981 \tabularnewline
13 & -0.087432 & -0.8013 & 0.212601 \tabularnewline
14 & -0.020144 & -0.1846 & 0.426987 \tabularnewline
15 & -0.039226 & -0.3595 & 0.360057 \tabularnewline
16 & -0.010134 & -0.0929 & 0.463111 \tabularnewline
17 & -0.030631 & -0.2807 & 0.3898 \tabularnewline
18 & 0.000123 & 0.0011 & 0.499552 \tabularnewline
19 & -0.021977 & -0.2014 & 0.420429 \tabularnewline
20 & 0.041289 & 0.3784 & 0.353038 \tabularnewline
21 & 0.003261 & 0.0299 & 0.488113 \tabularnewline
22 & 0.009748 & 0.0893 & 0.46451 \tabularnewline
23 & -0.037473 & -0.3434 & 0.366059 \tabularnewline
24 & -0.04246 & -0.3892 & 0.349075 \tabularnewline
25 & -0.077875 & -0.7137 & 0.238684 \tabularnewline
26 & -0.009449 & -0.0866 & 0.465598 \tabularnewline
27 & -0.025638 & -0.235 & 0.407401 \tabularnewline
28 & -0.001238 & -0.0113 & 0.495488 \tabularnewline
29 & -0.010344 & -0.0948 & 0.462347 \tabularnewline
30 & 0.068715 & 0.6298 & 0.265273 \tabularnewline
31 & -0.063474 & -0.5817 & 0.281148 \tabularnewline
32 & 0.048564 & 0.4451 & 0.328697 \tabularnewline
33 & -0.064043 & -0.587 & 0.2794 \tabularnewline
34 & -0.005156 & -0.0473 & 0.481212 \tabularnewline
35 & -0.016818 & -0.1541 & 0.438934 \tabularnewline
36 & -0.070766 & -0.6486 & 0.25919 \tabularnewline
37 & -0.041581 & -0.3811 & 0.352045 \tabularnewline
38 & -0.031887 & -0.2923 & 0.385407 \tabularnewline
39 & -0.046123 & -0.4227 & 0.336788 \tabularnewline
40 & 0.007051 & 0.0646 & 0.474312 \tabularnewline
41 & 0.022892 & 0.2098 & 0.417161 \tabularnewline
42 & 0.045984 & 0.4214 & 0.337253 \tabularnewline
43 & -0.064576 & -0.5918 & 0.277771 \tabularnewline
44 & 0.039771 & 0.3645 & 0.358198 \tabularnewline
45 & -0.017638 & -0.1617 & 0.435983 \tabularnewline
46 & 0.002288 & 0.021 & 0.49166 \tabularnewline
47 & -0.032208 & -0.2952 & 0.38429 \tabularnewline
48 & -0.058069 & -0.5322 & 0.297993 \tabularnewline
49 & -0.020132 & -0.1845 & 0.42703 \tabularnewline
50 & -0.041026 & -0.376 & 0.353927 \tabularnewline
51 & 0.01103 & 0.1011 & 0.459859 \tabularnewline
52 & -0.001926 & -0.0176 & 0.49298 \tabularnewline
53 & -0.03348 & -0.3069 & 0.379858 \tabularnewline
54 & 0.035796 & 0.3281 & 0.371836 \tabularnewline
55 & -0.062215 & -0.5702 & 0.285028 \tabularnewline
56 & 0.053257 & 0.4881 & 0.313372 \tabularnewline
57 & -0.034432 & -0.3156 & 0.376555 \tabularnewline
58 & -0.027903 & -0.2557 & 0.399391 \tabularnewline
59 & 0.004535 & 0.0416 & 0.483472 \tabularnewline
60 & -0.020265 & -0.1857 & 0.426553 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=78336&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]0.966877[/C][C]8.8616[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]-0.028169[/C][C]-0.2582[/C][C]0.398453[/C][/ROW]
[ROW][C]3[/C][C]-0.053175[/C][C]-0.4874[/C][C]0.313636[/C][/ROW]
[ROW][C]4[/C][C]-0.007696[/C][C]-0.0705[/C][C]0.471967[/C][/ROW]
[ROW][C]5[/C][C]-0.034726[/C][C]-0.3183[/C][C]0.375535[/C][/ROW]
[ROW][C]6[/C][C]0.001335[/C][C]0.0122[/C][C]0.495133[/C][/ROW]
[ROW][C]7[/C][C]-0.0391[/C][C]-0.3584[/C][C]0.360487[/C][/ROW]
[ROW][C]8[/C][C]-0.007206[/C][C]-0.066[/C][C]0.473749[/C][/ROW]
[ROW][C]9[/C][C]-0.017803[/C][C]-0.1632[/C][C]0.435391[/C][/ROW]
[ROW][C]10[/C][C]0.007394[/C][C]0.0678[/C][C]0.473067[/C][/ROW]
[ROW][C]11[/C][C]-0.054182[/C][C]-0.4966[/C][C]0.310388[/C][/ROW]
[ROW][C]12[/C][C]-0.01903[/C][C]-0.1744[/C][C]0.430981[/C][/ROW]
[ROW][C]13[/C][C]-0.087432[/C][C]-0.8013[/C][C]0.212601[/C][/ROW]
[ROW][C]14[/C][C]-0.020144[/C][C]-0.1846[/C][C]0.426987[/C][/ROW]
[ROW][C]15[/C][C]-0.039226[/C][C]-0.3595[/C][C]0.360057[/C][/ROW]
[ROW][C]16[/C][C]-0.010134[/C][C]-0.0929[/C][C]0.463111[/C][/ROW]
[ROW][C]17[/C][C]-0.030631[/C][C]-0.2807[/C][C]0.3898[/C][/ROW]
[ROW][C]18[/C][C]0.000123[/C][C]0.0011[/C][C]0.499552[/C][/ROW]
[ROW][C]19[/C][C]-0.021977[/C][C]-0.2014[/C][C]0.420429[/C][/ROW]
[ROW][C]20[/C][C]0.041289[/C][C]0.3784[/C][C]0.353038[/C][/ROW]
[ROW][C]21[/C][C]0.003261[/C][C]0.0299[/C][C]0.488113[/C][/ROW]
[ROW][C]22[/C][C]0.009748[/C][C]0.0893[/C][C]0.46451[/C][/ROW]
[ROW][C]23[/C][C]-0.037473[/C][C]-0.3434[/C][C]0.366059[/C][/ROW]
[ROW][C]24[/C][C]-0.04246[/C][C]-0.3892[/C][C]0.349075[/C][/ROW]
[ROW][C]25[/C][C]-0.077875[/C][C]-0.7137[/C][C]0.238684[/C][/ROW]
[ROW][C]26[/C][C]-0.009449[/C][C]-0.0866[/C][C]0.465598[/C][/ROW]
[ROW][C]27[/C][C]-0.025638[/C][C]-0.235[/C][C]0.407401[/C][/ROW]
[ROW][C]28[/C][C]-0.001238[/C][C]-0.0113[/C][C]0.495488[/C][/ROW]
[ROW][C]29[/C][C]-0.010344[/C][C]-0.0948[/C][C]0.462347[/C][/ROW]
[ROW][C]30[/C][C]0.068715[/C][C]0.6298[/C][C]0.265273[/C][/ROW]
[ROW][C]31[/C][C]-0.063474[/C][C]-0.5817[/C][C]0.281148[/C][/ROW]
[ROW][C]32[/C][C]0.048564[/C][C]0.4451[/C][C]0.328697[/C][/ROW]
[ROW][C]33[/C][C]-0.064043[/C][C]-0.587[/C][C]0.2794[/C][/ROW]
[ROW][C]34[/C][C]-0.005156[/C][C]-0.0473[/C][C]0.481212[/C][/ROW]
[ROW][C]35[/C][C]-0.016818[/C][C]-0.1541[/C][C]0.438934[/C][/ROW]
[ROW][C]36[/C][C]-0.070766[/C][C]-0.6486[/C][C]0.25919[/C][/ROW]
[ROW][C]37[/C][C]-0.041581[/C][C]-0.3811[/C][C]0.352045[/C][/ROW]
[ROW][C]38[/C][C]-0.031887[/C][C]-0.2923[/C][C]0.385407[/C][/ROW]
[ROW][C]39[/C][C]-0.046123[/C][C]-0.4227[/C][C]0.336788[/C][/ROW]
[ROW][C]40[/C][C]0.007051[/C][C]0.0646[/C][C]0.474312[/C][/ROW]
[ROW][C]41[/C][C]0.022892[/C][C]0.2098[/C][C]0.417161[/C][/ROW]
[ROW][C]42[/C][C]0.045984[/C][C]0.4214[/C][C]0.337253[/C][/ROW]
[ROW][C]43[/C][C]-0.064576[/C][C]-0.5918[/C][C]0.277771[/C][/ROW]
[ROW][C]44[/C][C]0.039771[/C][C]0.3645[/C][C]0.358198[/C][/ROW]
[ROW][C]45[/C][C]-0.017638[/C][C]-0.1617[/C][C]0.435983[/C][/ROW]
[ROW][C]46[/C][C]0.002288[/C][C]0.021[/C][C]0.49166[/C][/ROW]
[ROW][C]47[/C][C]-0.032208[/C][C]-0.2952[/C][C]0.38429[/C][/ROW]
[ROW][C]48[/C][C]-0.058069[/C][C]-0.5322[/C][C]0.297993[/C][/ROW]
[ROW][C]49[/C][C]-0.020132[/C][C]-0.1845[/C][C]0.42703[/C][/ROW]
[ROW][C]50[/C][C]-0.041026[/C][C]-0.376[/C][C]0.353927[/C][/ROW]
[ROW][C]51[/C][C]0.01103[/C][C]0.1011[/C][C]0.459859[/C][/ROW]
[ROW][C]52[/C][C]-0.001926[/C][C]-0.0176[/C][C]0.49298[/C][/ROW]
[ROW][C]53[/C][C]-0.03348[/C][C]-0.3069[/C][C]0.379858[/C][/ROW]
[ROW][C]54[/C][C]0.035796[/C][C]0.3281[/C][C]0.371836[/C][/ROW]
[ROW][C]55[/C][C]-0.062215[/C][C]-0.5702[/C][C]0.285028[/C][/ROW]
[ROW][C]56[/C][C]0.053257[/C][C]0.4881[/C][C]0.313372[/C][/ROW]
[ROW][C]57[/C][C]-0.034432[/C][C]-0.3156[/C][C]0.376555[/C][/ROW]
[ROW][C]58[/C][C]-0.027903[/C][C]-0.2557[/C][C]0.399391[/C][/ROW]
[ROW][C]59[/C][C]0.004535[/C][C]0.0416[/C][C]0.483472[/C][/ROW]
[ROW][C]60[/C][C]-0.020265[/C][C]-0.1857[/C][C]0.426553[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=78336&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=78336&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
10.9668778.86160
2-0.028169-0.25820.398453
3-0.053175-0.48740.313636
4-0.007696-0.07050.471967
5-0.034726-0.31830.375535
60.0013350.01220.495133
7-0.0391-0.35840.360487
8-0.007206-0.0660.473749
9-0.017803-0.16320.435391
100.0073940.06780.473067
11-0.054182-0.49660.310388
12-0.01903-0.17440.430981
13-0.087432-0.80130.212601
14-0.020144-0.18460.426987
15-0.039226-0.35950.360057
16-0.010134-0.09290.463111
17-0.030631-0.28070.3898
180.0001230.00110.499552
19-0.021977-0.20140.420429
200.0412890.37840.353038
210.0032610.02990.488113
220.0097480.08930.46451
23-0.037473-0.34340.366059
24-0.04246-0.38920.349075
25-0.077875-0.71370.238684
26-0.009449-0.08660.465598
27-0.025638-0.2350.407401
28-0.001238-0.01130.495488
29-0.010344-0.09480.462347
300.0687150.62980.265273
31-0.063474-0.58170.281148
320.0485640.44510.328697
33-0.064043-0.5870.2794
34-0.005156-0.04730.481212
35-0.016818-0.15410.438934
36-0.070766-0.64860.25919
37-0.041581-0.38110.352045
38-0.031887-0.29230.385407
39-0.046123-0.42270.336788
400.0070510.06460.474312
410.0228920.20980.417161
420.0459840.42140.337253
43-0.064576-0.59180.277771
440.0397710.36450.358198
45-0.017638-0.16170.435983
460.0022880.0210.49166
47-0.032208-0.29520.38429
48-0.058069-0.53220.297993
49-0.020132-0.18450.42703
50-0.041026-0.3760.353927
510.011030.10110.459859
52-0.001926-0.01760.49298
53-0.03348-0.30690.379858
540.0357960.32810.371836
55-0.062215-0.57020.285028
560.0532570.48810.313372
57-0.034432-0.31560.376555
58-0.027903-0.25570.399391
590.0045350.04160.483472
60-0.020265-0.18570.426553



Parameters (Session):
Parameters (R input):
par1 = 60 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ;
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 (par6 == 'White Noise') par6 <- 'white' else par6 <- 'ma'
par7 <- as.numeric(par7)
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='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep=''))
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')