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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationSat, 06 Jun 2009 12:14:07 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Jun/06/t12443120934gxkbblxlu1567o.htm/, Retrieved Mon, 29 Apr 2024 04:04:09 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=42045, Retrieved Mon, 29 Apr 2024 04:04:09 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact172
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [(Partial) Autocorrelation Function] [inschrijving nieu...] [2009-06-04 10:51:18] [ef653b42671acc8de32235b938c43afe]
-    D    [(Partial) Autocorrelation Function] [Bruto schuld van ...] [2009-06-06 18:14:07] [2eea656d1ea82c4ced0e8e79cdac0617] [Current]
-           [(Partial) Autocorrelation Function] [Bruto schuld van ...] [2009-06-06 18:16:16] [ef653b42671acc8de32235b938c43afe]
- RM        [Blocked Bootstrap Plot - Central Tendency] [Bruto schuld van ...] [2009-06-06 18:33:07] [ef653b42671acc8de32235b938c43afe]
-             [Blocked Bootstrap Plot - Central Tendency] [Bruto schuld van ...] [2009-06-06 18:36:09] [ef653b42671acc8de32235b938c43afe]
-               [Blocked Bootstrap Plot - Central Tendency] [Bruto schuld van ...] [2009-06-06 18:37:23] [ef653b42671acc8de32235b938c43afe]
-                 [Blocked Bootstrap Plot - Central Tendency] [Bruto schuld van ...] [2009-06-06 18:39:07] [ef653b42671acc8de32235b938c43afe]
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Dataseries X:
266433
267722
266003
262971
265521
264676
270223
269508
268457
265814
266680
263018
269285
269829
270911
266844
271244
269907
271296
270157
271322
267179
264101
265518
269419
268714
272482
268351
268175
270674
272764
272599
270333
270846
270491
269160
274027
273784
276663
274525
271344
271115
270798
273911
273985
271917
273338
270601
273547
275363
281229
277793
279913
282500
280041
282166
290304
283519
287816
285226
287595
289741
289148
288301
290155
289648
288225
289351
294735
305333
309030
310215




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=42045&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=42045&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=42045&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
10.8733567.41070
20.7653776.49440
30.6594465.59560
40.6094425.17131e-06
50.5866724.97812e-06
60.5731454.86333e-06
70.5361874.54971.1e-05
80.5000074.24273.2e-05
90.4558833.86830.000119
100.4258723.61360.000278
110.3837813.25650.000861
120.3593453.04910.001605
130.3296482.79720.003304
140.2809362.38380.009886
150.2426442.05890.021561
160.1813451.53880.064122
170.1677661.42350.079449
180.156711.32970.093903
190.1275741.08250.141321
200.0988580.83880.202168
210.0584960.49640.310578
220.0150620.12780.449329
23-0.01029-0.08730.465333
24-0.020998-0.17820.429545
25-0.02199-0.18660.426253
26-0.039444-0.33470.369415
27-0.055802-0.47350.318647
28-0.082522-0.70020.243023
29-0.097521-0.82750.205347
30-0.085352-0.72420.235635
31-0.083313-0.70690.240944
32-0.077797-0.66010.255639
33-0.109106-0.92580.178824
34-0.143573-1.21830.113552
35-0.165242-1.40210.082587
36-0.180695-1.53330.064798
37-0.176769-1.49990.069002
38-0.177547-1.50650.068152
39-0.184001-1.56130.061419
40-0.185086-1.57050.060341
41-0.211974-1.79870.038132
42-0.225246-1.91130.029975
43-0.234899-1.99320.025016
44-0.230251-1.95370.027308
45-0.242627-2.05880.021568
46-0.27044-2.29480.012332
47-0.288849-2.4510.008338
48-0.298805-2.53540.006701

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.873356 & 7.4107 & 0 \tabularnewline
2 & 0.765377 & 6.4944 & 0 \tabularnewline
3 & 0.659446 & 5.5956 & 0 \tabularnewline
4 & 0.609442 & 5.1713 & 1e-06 \tabularnewline
5 & 0.586672 & 4.9781 & 2e-06 \tabularnewline
6 & 0.573145 & 4.8633 & 3e-06 \tabularnewline
7 & 0.536187 & 4.5497 & 1.1e-05 \tabularnewline
8 & 0.500007 & 4.2427 & 3.2e-05 \tabularnewline
9 & 0.455883 & 3.8683 & 0.000119 \tabularnewline
10 & 0.425872 & 3.6136 & 0.000278 \tabularnewline
11 & 0.383781 & 3.2565 & 0.000861 \tabularnewline
12 & 0.359345 & 3.0491 & 0.001605 \tabularnewline
13 & 0.329648 & 2.7972 & 0.003304 \tabularnewline
14 & 0.280936 & 2.3838 & 0.009886 \tabularnewline
15 & 0.242644 & 2.0589 & 0.021561 \tabularnewline
16 & 0.181345 & 1.5388 & 0.064122 \tabularnewline
17 & 0.167766 & 1.4235 & 0.079449 \tabularnewline
18 & 0.15671 & 1.3297 & 0.093903 \tabularnewline
19 & 0.127574 & 1.0825 & 0.141321 \tabularnewline
20 & 0.098858 & 0.8388 & 0.202168 \tabularnewline
21 & 0.058496 & 0.4964 & 0.310578 \tabularnewline
22 & 0.015062 & 0.1278 & 0.449329 \tabularnewline
23 & -0.01029 & -0.0873 & 0.465333 \tabularnewline
24 & -0.020998 & -0.1782 & 0.429545 \tabularnewline
25 & -0.02199 & -0.1866 & 0.426253 \tabularnewline
26 & -0.039444 & -0.3347 & 0.369415 \tabularnewline
27 & -0.055802 & -0.4735 & 0.318647 \tabularnewline
28 & -0.082522 & -0.7002 & 0.243023 \tabularnewline
29 & -0.097521 & -0.8275 & 0.205347 \tabularnewline
30 & -0.085352 & -0.7242 & 0.235635 \tabularnewline
31 & -0.083313 & -0.7069 & 0.240944 \tabularnewline
32 & -0.077797 & -0.6601 & 0.255639 \tabularnewline
33 & -0.109106 & -0.9258 & 0.178824 \tabularnewline
34 & -0.143573 & -1.2183 & 0.113552 \tabularnewline
35 & -0.165242 & -1.4021 & 0.082587 \tabularnewline
36 & -0.180695 & -1.5333 & 0.064798 \tabularnewline
37 & -0.176769 & -1.4999 & 0.069002 \tabularnewline
38 & -0.177547 & -1.5065 & 0.068152 \tabularnewline
39 & -0.184001 & -1.5613 & 0.061419 \tabularnewline
40 & -0.185086 & -1.5705 & 0.060341 \tabularnewline
41 & -0.211974 & -1.7987 & 0.038132 \tabularnewline
42 & -0.225246 & -1.9113 & 0.029975 \tabularnewline
43 & -0.234899 & -1.9932 & 0.025016 \tabularnewline
44 & -0.230251 & -1.9537 & 0.027308 \tabularnewline
45 & -0.242627 & -2.0588 & 0.021568 \tabularnewline
46 & -0.27044 & -2.2948 & 0.012332 \tabularnewline
47 & -0.288849 & -2.451 & 0.008338 \tabularnewline
48 & -0.298805 & -2.5354 & 0.006701 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=42045&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]0.873356[/C][C]7.4107[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.765377[/C][C]6.4944[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.659446[/C][C]5.5956[/C][C]0[/C][/ROW]
[ROW][C]4[/C][C]0.609442[/C][C]5.1713[/C][C]1e-06[/C][/ROW]
[ROW][C]5[/C][C]0.586672[/C][C]4.9781[/C][C]2e-06[/C][/ROW]
[ROW][C]6[/C][C]0.573145[/C][C]4.8633[/C][C]3e-06[/C][/ROW]
[ROW][C]7[/C][C]0.536187[/C][C]4.5497[/C][C]1.1e-05[/C][/ROW]
[ROW][C]8[/C][C]0.500007[/C][C]4.2427[/C][C]3.2e-05[/C][/ROW]
[ROW][C]9[/C][C]0.455883[/C][C]3.8683[/C][C]0.000119[/C][/ROW]
[ROW][C]10[/C][C]0.425872[/C][C]3.6136[/C][C]0.000278[/C][/ROW]
[ROW][C]11[/C][C]0.383781[/C][C]3.2565[/C][C]0.000861[/C][/ROW]
[ROW][C]12[/C][C]0.359345[/C][C]3.0491[/C][C]0.001605[/C][/ROW]
[ROW][C]13[/C][C]0.329648[/C][C]2.7972[/C][C]0.003304[/C][/ROW]
[ROW][C]14[/C][C]0.280936[/C][C]2.3838[/C][C]0.009886[/C][/ROW]
[ROW][C]15[/C][C]0.242644[/C][C]2.0589[/C][C]0.021561[/C][/ROW]
[ROW][C]16[/C][C]0.181345[/C][C]1.5388[/C][C]0.064122[/C][/ROW]
[ROW][C]17[/C][C]0.167766[/C][C]1.4235[/C][C]0.079449[/C][/ROW]
[ROW][C]18[/C][C]0.15671[/C][C]1.3297[/C][C]0.093903[/C][/ROW]
[ROW][C]19[/C][C]0.127574[/C][C]1.0825[/C][C]0.141321[/C][/ROW]
[ROW][C]20[/C][C]0.098858[/C][C]0.8388[/C][C]0.202168[/C][/ROW]
[ROW][C]21[/C][C]0.058496[/C][C]0.4964[/C][C]0.310578[/C][/ROW]
[ROW][C]22[/C][C]0.015062[/C][C]0.1278[/C][C]0.449329[/C][/ROW]
[ROW][C]23[/C][C]-0.01029[/C][C]-0.0873[/C][C]0.465333[/C][/ROW]
[ROW][C]24[/C][C]-0.020998[/C][C]-0.1782[/C][C]0.429545[/C][/ROW]
[ROW][C]25[/C][C]-0.02199[/C][C]-0.1866[/C][C]0.426253[/C][/ROW]
[ROW][C]26[/C][C]-0.039444[/C][C]-0.3347[/C][C]0.369415[/C][/ROW]
[ROW][C]27[/C][C]-0.055802[/C][C]-0.4735[/C][C]0.318647[/C][/ROW]
[ROW][C]28[/C][C]-0.082522[/C][C]-0.7002[/C][C]0.243023[/C][/ROW]
[ROW][C]29[/C][C]-0.097521[/C][C]-0.8275[/C][C]0.205347[/C][/ROW]
[ROW][C]30[/C][C]-0.085352[/C][C]-0.7242[/C][C]0.235635[/C][/ROW]
[ROW][C]31[/C][C]-0.083313[/C][C]-0.7069[/C][C]0.240944[/C][/ROW]
[ROW][C]32[/C][C]-0.077797[/C][C]-0.6601[/C][C]0.255639[/C][/ROW]
[ROW][C]33[/C][C]-0.109106[/C][C]-0.9258[/C][C]0.178824[/C][/ROW]
[ROW][C]34[/C][C]-0.143573[/C][C]-1.2183[/C][C]0.113552[/C][/ROW]
[ROW][C]35[/C][C]-0.165242[/C][C]-1.4021[/C][C]0.082587[/C][/ROW]
[ROW][C]36[/C][C]-0.180695[/C][C]-1.5333[/C][C]0.064798[/C][/ROW]
[ROW][C]37[/C][C]-0.176769[/C][C]-1.4999[/C][C]0.069002[/C][/ROW]
[ROW][C]38[/C][C]-0.177547[/C][C]-1.5065[/C][C]0.068152[/C][/ROW]
[ROW][C]39[/C][C]-0.184001[/C][C]-1.5613[/C][C]0.061419[/C][/ROW]
[ROW][C]40[/C][C]-0.185086[/C][C]-1.5705[/C][C]0.060341[/C][/ROW]
[ROW][C]41[/C][C]-0.211974[/C][C]-1.7987[/C][C]0.038132[/C][/ROW]
[ROW][C]42[/C][C]-0.225246[/C][C]-1.9113[/C][C]0.029975[/C][/ROW]
[ROW][C]43[/C][C]-0.234899[/C][C]-1.9932[/C][C]0.025016[/C][/ROW]
[ROW][C]44[/C][C]-0.230251[/C][C]-1.9537[/C][C]0.027308[/C][/ROW]
[ROW][C]45[/C][C]-0.242627[/C][C]-2.0588[/C][C]0.021568[/C][/ROW]
[ROW][C]46[/C][C]-0.27044[/C][C]-2.2948[/C][C]0.012332[/C][/ROW]
[ROW][C]47[/C][C]-0.288849[/C][C]-2.451[/C][C]0.008338[/C][/ROW]
[ROW][C]48[/C][C]-0.298805[/C][C]-2.5354[/C][C]0.006701[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=42045&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=42045&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
10.8733567.41070
20.7653776.49440
30.6594465.59560
40.6094425.17131e-06
50.5866724.97812e-06
60.5731454.86333e-06
70.5361874.54971.1e-05
80.5000074.24273.2e-05
90.4558833.86830.000119
100.4258723.61360.000278
110.3837813.25650.000861
120.3593453.04910.001605
130.3296482.79720.003304
140.2809362.38380.009886
150.2426442.05890.021561
160.1813451.53880.064122
170.1677661.42350.079449
180.156711.32970.093903
190.1275741.08250.141321
200.0988580.83880.202168
210.0584960.49640.310578
220.0150620.12780.449329
23-0.01029-0.08730.465333
24-0.020998-0.17820.429545
25-0.02199-0.18660.426253
26-0.039444-0.33470.369415
27-0.055802-0.47350.318647
28-0.082522-0.70020.243023
29-0.097521-0.82750.205347
30-0.085352-0.72420.235635
31-0.083313-0.70690.240944
32-0.077797-0.66010.255639
33-0.109106-0.92580.178824
34-0.143573-1.21830.113552
35-0.165242-1.40210.082587
36-0.180695-1.53330.064798
37-0.176769-1.49990.069002
38-0.177547-1.50650.068152
39-0.184001-1.56130.061419
40-0.185086-1.57050.060341
41-0.211974-1.79870.038132
42-0.225246-1.91130.029975
43-0.234899-1.99320.025016
44-0.230251-1.95370.027308
45-0.242627-2.05880.021568
46-0.27044-2.29480.012332
47-0.288849-2.4510.008338
48-0.298805-2.53540.006701







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.8733567.41070
20.0110670.09390.462722
3-0.047504-0.40310.344039
40.1738731.47540.072238
50.113630.96420.169091
60.0448320.38040.35238
7-0.054535-0.46270.322472
80.0272750.23140.408815
9-0.015452-0.13110.448025
100.0184710.15670.437947
11-0.070603-0.59910.275497
120.0356580.30260.381545
13-0.012343-0.10470.458438
14-0.121161-1.02810.153676
150.0172530.14640.442009
16-0.126479-1.07320.14338
170.1334731.13260.130579
18-0.002886-0.02450.490265
19-0.124816-1.05910.146547
200.026370.22380.411791
21-0.039945-0.33890.36782
22-0.056452-0.4790.31669
230.0022130.01880.492535
240.0495130.42010.33782
250.0068550.05820.476887
26-0.048005-0.40730.342484
27-0.005916-0.05020.48005
28-0.022562-0.19140.424359
290.0439280.37270.355217
300.0505720.42910.33456
31-0.027286-0.23150.408779
320.0100340.08510.466192
33-0.12407-1.05280.147984
34-0.01252-0.10620.457846
35-0.011267-0.09560.462052
36-0.045295-0.38430.35093
370.0364660.30940.378945
38-0.059918-0.50840.306357
39-0.006304-0.05350.478745
400.0366530.3110.378346
41-0.10632-0.90220.184991
42-0.015758-0.13370.447001
430.0148140.12570.450159
440.0059680.05060.479878
45-0.121253-1.02890.153493
46-0.037682-0.31970.375046
470.0159790.13560.446262
480.0031730.02690.489299

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.873356 & 7.4107 & 0 \tabularnewline
2 & 0.011067 & 0.0939 & 0.462722 \tabularnewline
3 & -0.047504 & -0.4031 & 0.344039 \tabularnewline
4 & 0.173873 & 1.4754 & 0.072238 \tabularnewline
5 & 0.11363 & 0.9642 & 0.169091 \tabularnewline
6 & 0.044832 & 0.3804 & 0.35238 \tabularnewline
7 & -0.054535 & -0.4627 & 0.322472 \tabularnewline
8 & 0.027275 & 0.2314 & 0.408815 \tabularnewline
9 & -0.015452 & -0.1311 & 0.448025 \tabularnewline
10 & 0.018471 & 0.1567 & 0.437947 \tabularnewline
11 & -0.070603 & -0.5991 & 0.275497 \tabularnewline
12 & 0.035658 & 0.3026 & 0.381545 \tabularnewline
13 & -0.012343 & -0.1047 & 0.458438 \tabularnewline
14 & -0.121161 & -1.0281 & 0.153676 \tabularnewline
15 & 0.017253 & 0.1464 & 0.442009 \tabularnewline
16 & -0.126479 & -1.0732 & 0.14338 \tabularnewline
17 & 0.133473 & 1.1326 & 0.130579 \tabularnewline
18 & -0.002886 & -0.0245 & 0.490265 \tabularnewline
19 & -0.124816 & -1.0591 & 0.146547 \tabularnewline
20 & 0.02637 & 0.2238 & 0.411791 \tabularnewline
21 & -0.039945 & -0.3389 & 0.36782 \tabularnewline
22 & -0.056452 & -0.479 & 0.31669 \tabularnewline
23 & 0.002213 & 0.0188 & 0.492535 \tabularnewline
24 & 0.049513 & 0.4201 & 0.33782 \tabularnewline
25 & 0.006855 & 0.0582 & 0.476887 \tabularnewline
26 & -0.048005 & -0.4073 & 0.342484 \tabularnewline
27 & -0.005916 & -0.0502 & 0.48005 \tabularnewline
28 & -0.022562 & -0.1914 & 0.424359 \tabularnewline
29 & 0.043928 & 0.3727 & 0.355217 \tabularnewline
30 & 0.050572 & 0.4291 & 0.33456 \tabularnewline
31 & -0.027286 & -0.2315 & 0.408779 \tabularnewline
32 & 0.010034 & 0.0851 & 0.466192 \tabularnewline
33 & -0.12407 & -1.0528 & 0.147984 \tabularnewline
34 & -0.01252 & -0.1062 & 0.457846 \tabularnewline
35 & -0.011267 & -0.0956 & 0.462052 \tabularnewline
36 & -0.045295 & -0.3843 & 0.35093 \tabularnewline
37 & 0.036466 & 0.3094 & 0.378945 \tabularnewline
38 & -0.059918 & -0.5084 & 0.306357 \tabularnewline
39 & -0.006304 & -0.0535 & 0.478745 \tabularnewline
40 & 0.036653 & 0.311 & 0.378346 \tabularnewline
41 & -0.10632 & -0.9022 & 0.184991 \tabularnewline
42 & -0.015758 & -0.1337 & 0.447001 \tabularnewline
43 & 0.014814 & 0.1257 & 0.450159 \tabularnewline
44 & 0.005968 & 0.0506 & 0.479878 \tabularnewline
45 & -0.121253 & -1.0289 & 0.153493 \tabularnewline
46 & -0.037682 & -0.3197 & 0.375046 \tabularnewline
47 & 0.015979 & 0.1356 & 0.446262 \tabularnewline
48 & 0.003173 & 0.0269 & 0.489299 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=42045&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]0.873356[/C][C]7.4107[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.011067[/C][C]0.0939[/C][C]0.462722[/C][/ROW]
[ROW][C]3[/C][C]-0.047504[/C][C]-0.4031[/C][C]0.344039[/C][/ROW]
[ROW][C]4[/C][C]0.173873[/C][C]1.4754[/C][C]0.072238[/C][/ROW]
[ROW][C]5[/C][C]0.11363[/C][C]0.9642[/C][C]0.169091[/C][/ROW]
[ROW][C]6[/C][C]0.044832[/C][C]0.3804[/C][C]0.35238[/C][/ROW]
[ROW][C]7[/C][C]-0.054535[/C][C]-0.4627[/C][C]0.322472[/C][/ROW]
[ROW][C]8[/C][C]0.027275[/C][C]0.2314[/C][C]0.408815[/C][/ROW]
[ROW][C]9[/C][C]-0.015452[/C][C]-0.1311[/C][C]0.448025[/C][/ROW]
[ROW][C]10[/C][C]0.018471[/C][C]0.1567[/C][C]0.437947[/C][/ROW]
[ROW][C]11[/C][C]-0.070603[/C][C]-0.5991[/C][C]0.275497[/C][/ROW]
[ROW][C]12[/C][C]0.035658[/C][C]0.3026[/C][C]0.381545[/C][/ROW]
[ROW][C]13[/C][C]-0.012343[/C][C]-0.1047[/C][C]0.458438[/C][/ROW]
[ROW][C]14[/C][C]-0.121161[/C][C]-1.0281[/C][C]0.153676[/C][/ROW]
[ROW][C]15[/C][C]0.017253[/C][C]0.1464[/C][C]0.442009[/C][/ROW]
[ROW][C]16[/C][C]-0.126479[/C][C]-1.0732[/C][C]0.14338[/C][/ROW]
[ROW][C]17[/C][C]0.133473[/C][C]1.1326[/C][C]0.130579[/C][/ROW]
[ROW][C]18[/C][C]-0.002886[/C][C]-0.0245[/C][C]0.490265[/C][/ROW]
[ROW][C]19[/C][C]-0.124816[/C][C]-1.0591[/C][C]0.146547[/C][/ROW]
[ROW][C]20[/C][C]0.02637[/C][C]0.2238[/C][C]0.411791[/C][/ROW]
[ROW][C]21[/C][C]-0.039945[/C][C]-0.3389[/C][C]0.36782[/C][/ROW]
[ROW][C]22[/C][C]-0.056452[/C][C]-0.479[/C][C]0.31669[/C][/ROW]
[ROW][C]23[/C][C]0.002213[/C][C]0.0188[/C][C]0.492535[/C][/ROW]
[ROW][C]24[/C][C]0.049513[/C][C]0.4201[/C][C]0.33782[/C][/ROW]
[ROW][C]25[/C][C]0.006855[/C][C]0.0582[/C][C]0.476887[/C][/ROW]
[ROW][C]26[/C][C]-0.048005[/C][C]-0.4073[/C][C]0.342484[/C][/ROW]
[ROW][C]27[/C][C]-0.005916[/C][C]-0.0502[/C][C]0.48005[/C][/ROW]
[ROW][C]28[/C][C]-0.022562[/C][C]-0.1914[/C][C]0.424359[/C][/ROW]
[ROW][C]29[/C][C]0.043928[/C][C]0.3727[/C][C]0.355217[/C][/ROW]
[ROW][C]30[/C][C]0.050572[/C][C]0.4291[/C][C]0.33456[/C][/ROW]
[ROW][C]31[/C][C]-0.027286[/C][C]-0.2315[/C][C]0.408779[/C][/ROW]
[ROW][C]32[/C][C]0.010034[/C][C]0.0851[/C][C]0.466192[/C][/ROW]
[ROW][C]33[/C][C]-0.12407[/C][C]-1.0528[/C][C]0.147984[/C][/ROW]
[ROW][C]34[/C][C]-0.01252[/C][C]-0.1062[/C][C]0.457846[/C][/ROW]
[ROW][C]35[/C][C]-0.011267[/C][C]-0.0956[/C][C]0.462052[/C][/ROW]
[ROW][C]36[/C][C]-0.045295[/C][C]-0.3843[/C][C]0.35093[/C][/ROW]
[ROW][C]37[/C][C]0.036466[/C][C]0.3094[/C][C]0.378945[/C][/ROW]
[ROW][C]38[/C][C]-0.059918[/C][C]-0.5084[/C][C]0.306357[/C][/ROW]
[ROW][C]39[/C][C]-0.006304[/C][C]-0.0535[/C][C]0.478745[/C][/ROW]
[ROW][C]40[/C][C]0.036653[/C][C]0.311[/C][C]0.378346[/C][/ROW]
[ROW][C]41[/C][C]-0.10632[/C][C]-0.9022[/C][C]0.184991[/C][/ROW]
[ROW][C]42[/C][C]-0.015758[/C][C]-0.1337[/C][C]0.447001[/C][/ROW]
[ROW][C]43[/C][C]0.014814[/C][C]0.1257[/C][C]0.450159[/C][/ROW]
[ROW][C]44[/C][C]0.005968[/C][C]0.0506[/C][C]0.479878[/C][/ROW]
[ROW][C]45[/C][C]-0.121253[/C][C]-1.0289[/C][C]0.153493[/C][/ROW]
[ROW][C]46[/C][C]-0.037682[/C][C]-0.3197[/C][C]0.375046[/C][/ROW]
[ROW][C]47[/C][C]0.015979[/C][C]0.1356[/C][C]0.446262[/C][/ROW]
[ROW][C]48[/C][C]0.003173[/C][C]0.0269[/C][C]0.489299[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=42045&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=42045&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
10.8733567.41070
20.0110670.09390.462722
3-0.047504-0.40310.344039
40.1738731.47540.072238
50.113630.96420.169091
60.0448320.38040.35238
7-0.054535-0.46270.322472
80.0272750.23140.408815
9-0.015452-0.13110.448025
100.0184710.15670.437947
11-0.070603-0.59910.275497
120.0356580.30260.381545
13-0.012343-0.10470.458438
14-0.121161-1.02810.153676
150.0172530.14640.442009
16-0.126479-1.07320.14338
170.1334731.13260.130579
18-0.002886-0.02450.490265
19-0.124816-1.05910.146547
200.026370.22380.411791
21-0.039945-0.33890.36782
22-0.056452-0.4790.31669
230.0022130.01880.492535
240.0495130.42010.33782
250.0068550.05820.476887
26-0.048005-0.40730.342484
27-0.005916-0.05020.48005
28-0.022562-0.19140.424359
290.0439280.37270.355217
300.0505720.42910.33456
31-0.027286-0.23150.408779
320.0100340.08510.466192
33-0.12407-1.05280.147984
34-0.01252-0.10620.457846
35-0.011267-0.09560.462052
36-0.045295-0.38430.35093
370.0364660.30940.378945
38-0.059918-0.50840.306357
39-0.006304-0.05350.478745
400.0366530.3110.378346
41-0.10632-0.90220.184991
42-0.015758-0.13370.447001
430.0148140.12570.450159
440.0059680.05060.479878
45-0.121253-1.02890.153493
46-0.037682-0.31970.375046
470.0159790.13560.446262
480.0031730.02690.489299



Parameters (Session):
par1 = 48 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ;
Parameters (R input):
par1 = 48 ; 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')