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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, 17 Dec 2011 11:04:09 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Dec/17/t1324137925ir7qtc0ctp2jhpd.htm/, Retrieved Thu, 28 Mar 2024 18:41:52 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=156434, Retrieved Thu, 28 Mar 2024 18:41:52 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP2W12
Estimated Impact75
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [Autocorrelatie] [2011-12-17 16:04:09] [23c029da43917b1445ec911a9179ae8a] [Current]
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Dataseries X:
589,85
589,85
589,85
589,85
589,85
589,85
589,85
589,85
589,85
599,12
599,12
599,12
599
599
599
599
599
599
599
599
599
617,06
617,06
617,06
617,06
617,06
617,06
617,06
617,06
617,06
617,06
617,06
617,06
628,18
628,18
628,18
628,18
628,18
628,18
628,18
628,18
628,18
628,18
628,18
628,18
641,08
641,08
641,08
641,08
641,08
641,08
641,08
641,08
641,08
641,08
641,08
641,08
668,21
668,21
668,21
668,21
668,21
668,21
668,21
668,21
668,21
668,21
668,21
668,21
665,27
665,27
665,27




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

\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 & 'AstonUniversity' @ aston.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=156434&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]'AstonUniversity' @ aston.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=156434&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=156434&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'AstonUniversity' @ aston.wessa.net







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.9572258.12230
20.914457.75940
30.8716747.39640
40.8266817.01460
50.7816876.63280
60.7366946.25110
70.6917015.86930
80.6467075.48750
90.6017145.10571e-06
100.5636374.78264e-06
110.525564.45951.5e-05
120.4874834.13644.7e-05
130.433733.68030.000223
140.3799773.22420.00095
150.3262242.76810.003582
160.2931452.48740.007592
170.2600662.20670.015261
180.2269861.9260.029024
190.1939071.64540.052128
200.1608281.36470.088303
210.1277491.0840.140994
220.1080870.91710.181063
230.0884250.75030.227755
240.0687640.58350.280697
250.0371440.31520.376768
260.0055250.04690.481367
27-0.026094-0.22140.412699
28-0.047882-0.40630.342865
29-0.069671-0.59120.278125
30-0.09146-0.77610.220126
31-0.113249-0.9610.169897
32-0.135038-1.14580.127829
33-0.156827-1.33070.09374
34-0.17034-1.44540.076345
35-0.183853-1.560.061568
36-0.197366-1.67470.049166
37-0.222378-1.88690.0316
38-0.247391-2.09920.019654
39-0.272403-2.31140.011838
40-0.288942-2.45180.008322
41-0.305481-2.59210.005772
42-0.32202-2.73240.003952
43-0.338558-2.87280.002672
44-0.355097-3.01310.001784
45-0.371636-3.15340.001177
46-0.378545-3.21210.000986
47-0.385454-3.27070.000824
48-0.392363-3.32930.000687

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.957225 & 8.1223 & 0 \tabularnewline
2 & 0.91445 & 7.7594 & 0 \tabularnewline
3 & 0.871674 & 7.3964 & 0 \tabularnewline
4 & 0.826681 & 7.0146 & 0 \tabularnewline
5 & 0.781687 & 6.6328 & 0 \tabularnewline
6 & 0.736694 & 6.2511 & 0 \tabularnewline
7 & 0.691701 & 5.8693 & 0 \tabularnewline
8 & 0.646707 & 5.4875 & 0 \tabularnewline
9 & 0.601714 & 5.1057 & 1e-06 \tabularnewline
10 & 0.563637 & 4.7826 & 4e-06 \tabularnewline
11 & 0.52556 & 4.4595 & 1.5e-05 \tabularnewline
12 & 0.487483 & 4.1364 & 4.7e-05 \tabularnewline
13 & 0.43373 & 3.6803 & 0.000223 \tabularnewline
14 & 0.379977 & 3.2242 & 0.00095 \tabularnewline
15 & 0.326224 & 2.7681 & 0.003582 \tabularnewline
16 & 0.293145 & 2.4874 & 0.007592 \tabularnewline
17 & 0.260066 & 2.2067 & 0.015261 \tabularnewline
18 & 0.226986 & 1.926 & 0.029024 \tabularnewline
19 & 0.193907 & 1.6454 & 0.052128 \tabularnewline
20 & 0.160828 & 1.3647 & 0.088303 \tabularnewline
21 & 0.127749 & 1.084 & 0.140994 \tabularnewline
22 & 0.108087 & 0.9171 & 0.181063 \tabularnewline
23 & 0.088425 & 0.7503 & 0.227755 \tabularnewline
24 & 0.068764 & 0.5835 & 0.280697 \tabularnewline
25 & 0.037144 & 0.3152 & 0.376768 \tabularnewline
26 & 0.005525 & 0.0469 & 0.481367 \tabularnewline
27 & -0.026094 & -0.2214 & 0.412699 \tabularnewline
28 & -0.047882 & -0.4063 & 0.342865 \tabularnewline
29 & -0.069671 & -0.5912 & 0.278125 \tabularnewline
30 & -0.09146 & -0.7761 & 0.220126 \tabularnewline
31 & -0.113249 & -0.961 & 0.169897 \tabularnewline
32 & -0.135038 & -1.1458 & 0.127829 \tabularnewline
33 & -0.156827 & -1.3307 & 0.09374 \tabularnewline
34 & -0.17034 & -1.4454 & 0.076345 \tabularnewline
35 & -0.183853 & -1.56 & 0.061568 \tabularnewline
36 & -0.197366 & -1.6747 & 0.049166 \tabularnewline
37 & -0.222378 & -1.8869 & 0.0316 \tabularnewline
38 & -0.247391 & -2.0992 & 0.019654 \tabularnewline
39 & -0.272403 & -2.3114 & 0.011838 \tabularnewline
40 & -0.288942 & -2.4518 & 0.008322 \tabularnewline
41 & -0.305481 & -2.5921 & 0.005772 \tabularnewline
42 & -0.32202 & -2.7324 & 0.003952 \tabularnewline
43 & -0.338558 & -2.8728 & 0.002672 \tabularnewline
44 & -0.355097 & -3.0131 & 0.001784 \tabularnewline
45 & -0.371636 & -3.1534 & 0.001177 \tabularnewline
46 & -0.378545 & -3.2121 & 0.000986 \tabularnewline
47 & -0.385454 & -3.2707 & 0.000824 \tabularnewline
48 & -0.392363 & -3.3293 & 0.000687 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=156434&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]0.957225[/C][C]8.1223[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.91445[/C][C]7.7594[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.871674[/C][C]7.3964[/C][C]0[/C][/ROW]
[ROW][C]4[/C][C]0.826681[/C][C]7.0146[/C][C]0[/C][/ROW]
[ROW][C]5[/C][C]0.781687[/C][C]6.6328[/C][C]0[/C][/ROW]
[ROW][C]6[/C][C]0.736694[/C][C]6.2511[/C][C]0[/C][/ROW]
[ROW][C]7[/C][C]0.691701[/C][C]5.8693[/C][C]0[/C][/ROW]
[ROW][C]8[/C][C]0.646707[/C][C]5.4875[/C][C]0[/C][/ROW]
[ROW][C]9[/C][C]0.601714[/C][C]5.1057[/C][C]1e-06[/C][/ROW]
[ROW][C]10[/C][C]0.563637[/C][C]4.7826[/C][C]4e-06[/C][/ROW]
[ROW][C]11[/C][C]0.52556[/C][C]4.4595[/C][C]1.5e-05[/C][/ROW]
[ROW][C]12[/C][C]0.487483[/C][C]4.1364[/C][C]4.7e-05[/C][/ROW]
[ROW][C]13[/C][C]0.43373[/C][C]3.6803[/C][C]0.000223[/C][/ROW]
[ROW][C]14[/C][C]0.379977[/C][C]3.2242[/C][C]0.00095[/C][/ROW]
[ROW][C]15[/C][C]0.326224[/C][C]2.7681[/C][C]0.003582[/C][/ROW]
[ROW][C]16[/C][C]0.293145[/C][C]2.4874[/C][C]0.007592[/C][/ROW]
[ROW][C]17[/C][C]0.260066[/C][C]2.2067[/C][C]0.015261[/C][/ROW]
[ROW][C]18[/C][C]0.226986[/C][C]1.926[/C][C]0.029024[/C][/ROW]
[ROW][C]19[/C][C]0.193907[/C][C]1.6454[/C][C]0.052128[/C][/ROW]
[ROW][C]20[/C][C]0.160828[/C][C]1.3647[/C][C]0.088303[/C][/ROW]
[ROW][C]21[/C][C]0.127749[/C][C]1.084[/C][C]0.140994[/C][/ROW]
[ROW][C]22[/C][C]0.108087[/C][C]0.9171[/C][C]0.181063[/C][/ROW]
[ROW][C]23[/C][C]0.088425[/C][C]0.7503[/C][C]0.227755[/C][/ROW]
[ROW][C]24[/C][C]0.068764[/C][C]0.5835[/C][C]0.280697[/C][/ROW]
[ROW][C]25[/C][C]0.037144[/C][C]0.3152[/C][C]0.376768[/C][/ROW]
[ROW][C]26[/C][C]0.005525[/C][C]0.0469[/C][C]0.481367[/C][/ROW]
[ROW][C]27[/C][C]-0.026094[/C][C]-0.2214[/C][C]0.412699[/C][/ROW]
[ROW][C]28[/C][C]-0.047882[/C][C]-0.4063[/C][C]0.342865[/C][/ROW]
[ROW][C]29[/C][C]-0.069671[/C][C]-0.5912[/C][C]0.278125[/C][/ROW]
[ROW][C]30[/C][C]-0.09146[/C][C]-0.7761[/C][C]0.220126[/C][/ROW]
[ROW][C]31[/C][C]-0.113249[/C][C]-0.961[/C][C]0.169897[/C][/ROW]
[ROW][C]32[/C][C]-0.135038[/C][C]-1.1458[/C][C]0.127829[/C][/ROW]
[ROW][C]33[/C][C]-0.156827[/C][C]-1.3307[/C][C]0.09374[/C][/ROW]
[ROW][C]34[/C][C]-0.17034[/C][C]-1.4454[/C][C]0.076345[/C][/ROW]
[ROW][C]35[/C][C]-0.183853[/C][C]-1.56[/C][C]0.061568[/C][/ROW]
[ROW][C]36[/C][C]-0.197366[/C][C]-1.6747[/C][C]0.049166[/C][/ROW]
[ROW][C]37[/C][C]-0.222378[/C][C]-1.8869[/C][C]0.0316[/C][/ROW]
[ROW][C]38[/C][C]-0.247391[/C][C]-2.0992[/C][C]0.019654[/C][/ROW]
[ROW][C]39[/C][C]-0.272403[/C][C]-2.3114[/C][C]0.011838[/C][/ROW]
[ROW][C]40[/C][C]-0.288942[/C][C]-2.4518[/C][C]0.008322[/C][/ROW]
[ROW][C]41[/C][C]-0.305481[/C][C]-2.5921[/C][C]0.005772[/C][/ROW]
[ROW][C]42[/C][C]-0.32202[/C][C]-2.7324[/C][C]0.003952[/C][/ROW]
[ROW][C]43[/C][C]-0.338558[/C][C]-2.8728[/C][C]0.002672[/C][/ROW]
[ROW][C]44[/C][C]-0.355097[/C][C]-3.0131[/C][C]0.001784[/C][/ROW]
[ROW][C]45[/C][C]-0.371636[/C][C]-3.1534[/C][C]0.001177[/C][/ROW]
[ROW][C]46[/C][C]-0.378545[/C][C]-3.2121[/C][C]0.000986[/C][/ROW]
[ROW][C]47[/C][C]-0.385454[/C][C]-3.2707[/C][C]0.000824[/C][/ROW]
[ROW][C]48[/C][C]-0.392363[/C][C]-3.3293[/C][C]0.000687[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=156434&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=156434&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
10.9572258.12230
20.914457.75940
30.8716747.39640
40.8266817.01460
50.7816876.63280
60.7366946.25110
70.6917015.86930
80.6467075.48750
90.6017145.10571e-06
100.5636374.78264e-06
110.525564.45951.5e-05
120.4874834.13644.7e-05
130.433733.68030.000223
140.3799773.22420.00095
150.3262242.76810.003582
160.2931452.48740.007592
170.2600662.20670.015261
180.2269861.9260.029024
190.1939071.64540.052128
200.1608281.36470.088303
210.1277491.0840.140994
220.1080870.91710.181063
230.0884250.75030.227755
240.0687640.58350.280697
250.0371440.31520.376768
260.0055250.04690.481367
27-0.026094-0.22140.412699
28-0.047882-0.40630.342865
29-0.069671-0.59120.278125
30-0.09146-0.77610.220126
31-0.113249-0.9610.169897
32-0.135038-1.14580.127829
33-0.156827-1.33070.09374
34-0.17034-1.44540.076345
35-0.183853-1.560.061568
36-0.197366-1.67470.049166
37-0.222378-1.88690.0316
38-0.247391-2.09920.019654
39-0.272403-2.31140.011838
40-0.288942-2.45180.008322
41-0.305481-2.59210.005772
42-0.32202-2.73240.003952
43-0.338558-2.87280.002672
44-0.355097-3.01310.001784
45-0.371636-3.15340.001177
46-0.378545-3.21210.000986
47-0.385454-3.27070.000824
48-0.392363-3.32930.000687







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.9572258.12230
2-0.021855-0.18540.4267
3-0.022343-0.18960.425082
4-0.049375-0.4190.338246
5-0.024664-0.20930.417409
6-0.025288-0.21460.415352
7-0.025254-0.21430.415464
8-0.026598-0.22570.411039
9-0.027325-0.23190.408651
100.0550640.46720.320871
11-0.024473-0.20770.41804
12-0.025087-0.21290.416015
13-0.219382-1.86150.033376
14-0.039188-0.33250.370232
15-0.040786-0.34610.365146
160.2340631.98610.025416
17-0.025314-0.21480.415266
18-0.025972-0.22040.4131
19-0.056631-0.48050.316155
20-0.02909-0.24680.402869
21-0.029962-0.25420.40002
220.1230881.04440.14989
23-0.023394-0.19850.421604
24-0.023955-0.20330.419752
25-0.131303-1.11410.134462
26-0.031196-0.26470.395996
27-0.0322-0.27320.392729
280.0290570.24660.402976
29-0.030382-0.25780.398648
30-0.031334-0.26590.395547
310.0403610.34250.366495
32-0.028903-0.24520.403481
33-0.029763-0.25250.400669
34-0.005519-0.04680.481391
35-0.030093-0.25540.39959
36-0.031027-0.26330.396546
37-0.05181-0.43960.330765
38-0.034418-0.2920.385547
39-0.035644-0.30250.381589
400.0003820.00320.498711
41-0.035617-0.30220.381677
42-0.036933-0.31340.377447
430.0143270.12160.451791
44-0.035889-0.30450.380801
45-0.037225-0.31590.376508
460.0392840.33330.369925
47-0.034411-0.2920.385567
48-0.035638-0.30240.381612

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.957225 & 8.1223 & 0 \tabularnewline
2 & -0.021855 & -0.1854 & 0.4267 \tabularnewline
3 & -0.022343 & -0.1896 & 0.425082 \tabularnewline
4 & -0.049375 & -0.419 & 0.338246 \tabularnewline
5 & -0.024664 & -0.2093 & 0.417409 \tabularnewline
6 & -0.025288 & -0.2146 & 0.415352 \tabularnewline
7 & -0.025254 & -0.2143 & 0.415464 \tabularnewline
8 & -0.026598 & -0.2257 & 0.411039 \tabularnewline
9 & -0.027325 & -0.2319 & 0.408651 \tabularnewline
10 & 0.055064 & 0.4672 & 0.320871 \tabularnewline
11 & -0.024473 & -0.2077 & 0.41804 \tabularnewline
12 & -0.025087 & -0.2129 & 0.416015 \tabularnewline
13 & -0.219382 & -1.8615 & 0.033376 \tabularnewline
14 & -0.039188 & -0.3325 & 0.370232 \tabularnewline
15 & -0.040786 & -0.3461 & 0.365146 \tabularnewline
16 & 0.234063 & 1.9861 & 0.025416 \tabularnewline
17 & -0.025314 & -0.2148 & 0.415266 \tabularnewline
18 & -0.025972 & -0.2204 & 0.4131 \tabularnewline
19 & -0.056631 & -0.4805 & 0.316155 \tabularnewline
20 & -0.02909 & -0.2468 & 0.402869 \tabularnewline
21 & -0.029962 & -0.2542 & 0.40002 \tabularnewline
22 & 0.123088 & 1.0444 & 0.14989 \tabularnewline
23 & -0.023394 & -0.1985 & 0.421604 \tabularnewline
24 & -0.023955 & -0.2033 & 0.419752 \tabularnewline
25 & -0.131303 & -1.1141 & 0.134462 \tabularnewline
26 & -0.031196 & -0.2647 & 0.395996 \tabularnewline
27 & -0.0322 & -0.2732 & 0.392729 \tabularnewline
28 & 0.029057 & 0.2466 & 0.402976 \tabularnewline
29 & -0.030382 & -0.2578 & 0.398648 \tabularnewline
30 & -0.031334 & -0.2659 & 0.395547 \tabularnewline
31 & 0.040361 & 0.3425 & 0.366495 \tabularnewline
32 & -0.028903 & -0.2452 & 0.403481 \tabularnewline
33 & -0.029763 & -0.2525 & 0.400669 \tabularnewline
34 & -0.005519 & -0.0468 & 0.481391 \tabularnewline
35 & -0.030093 & -0.2554 & 0.39959 \tabularnewline
36 & -0.031027 & -0.2633 & 0.396546 \tabularnewline
37 & -0.05181 & -0.4396 & 0.330765 \tabularnewline
38 & -0.034418 & -0.292 & 0.385547 \tabularnewline
39 & -0.035644 & -0.3025 & 0.381589 \tabularnewline
40 & 0.000382 & 0.0032 & 0.498711 \tabularnewline
41 & -0.035617 & -0.3022 & 0.381677 \tabularnewline
42 & -0.036933 & -0.3134 & 0.377447 \tabularnewline
43 & 0.014327 & 0.1216 & 0.451791 \tabularnewline
44 & -0.035889 & -0.3045 & 0.380801 \tabularnewline
45 & -0.037225 & -0.3159 & 0.376508 \tabularnewline
46 & 0.039284 & 0.3333 & 0.369925 \tabularnewline
47 & -0.034411 & -0.292 & 0.385567 \tabularnewline
48 & -0.035638 & -0.3024 & 0.381612 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=156434&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]0.957225[/C][C]8.1223[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]-0.021855[/C][C]-0.1854[/C][C]0.4267[/C][/ROW]
[ROW][C]3[/C][C]-0.022343[/C][C]-0.1896[/C][C]0.425082[/C][/ROW]
[ROW][C]4[/C][C]-0.049375[/C][C]-0.419[/C][C]0.338246[/C][/ROW]
[ROW][C]5[/C][C]-0.024664[/C][C]-0.2093[/C][C]0.417409[/C][/ROW]
[ROW][C]6[/C][C]-0.025288[/C][C]-0.2146[/C][C]0.415352[/C][/ROW]
[ROW][C]7[/C][C]-0.025254[/C][C]-0.2143[/C][C]0.415464[/C][/ROW]
[ROW][C]8[/C][C]-0.026598[/C][C]-0.2257[/C][C]0.411039[/C][/ROW]
[ROW][C]9[/C][C]-0.027325[/C][C]-0.2319[/C][C]0.408651[/C][/ROW]
[ROW][C]10[/C][C]0.055064[/C][C]0.4672[/C][C]0.320871[/C][/ROW]
[ROW][C]11[/C][C]-0.024473[/C][C]-0.2077[/C][C]0.41804[/C][/ROW]
[ROW][C]12[/C][C]-0.025087[/C][C]-0.2129[/C][C]0.416015[/C][/ROW]
[ROW][C]13[/C][C]-0.219382[/C][C]-1.8615[/C][C]0.033376[/C][/ROW]
[ROW][C]14[/C][C]-0.039188[/C][C]-0.3325[/C][C]0.370232[/C][/ROW]
[ROW][C]15[/C][C]-0.040786[/C][C]-0.3461[/C][C]0.365146[/C][/ROW]
[ROW][C]16[/C][C]0.234063[/C][C]1.9861[/C][C]0.025416[/C][/ROW]
[ROW][C]17[/C][C]-0.025314[/C][C]-0.2148[/C][C]0.415266[/C][/ROW]
[ROW][C]18[/C][C]-0.025972[/C][C]-0.2204[/C][C]0.4131[/C][/ROW]
[ROW][C]19[/C][C]-0.056631[/C][C]-0.4805[/C][C]0.316155[/C][/ROW]
[ROW][C]20[/C][C]-0.02909[/C][C]-0.2468[/C][C]0.402869[/C][/ROW]
[ROW][C]21[/C][C]-0.029962[/C][C]-0.2542[/C][C]0.40002[/C][/ROW]
[ROW][C]22[/C][C]0.123088[/C][C]1.0444[/C][C]0.14989[/C][/ROW]
[ROW][C]23[/C][C]-0.023394[/C][C]-0.1985[/C][C]0.421604[/C][/ROW]
[ROW][C]24[/C][C]-0.023955[/C][C]-0.2033[/C][C]0.419752[/C][/ROW]
[ROW][C]25[/C][C]-0.131303[/C][C]-1.1141[/C][C]0.134462[/C][/ROW]
[ROW][C]26[/C][C]-0.031196[/C][C]-0.2647[/C][C]0.395996[/C][/ROW]
[ROW][C]27[/C][C]-0.0322[/C][C]-0.2732[/C][C]0.392729[/C][/ROW]
[ROW][C]28[/C][C]0.029057[/C][C]0.2466[/C][C]0.402976[/C][/ROW]
[ROW][C]29[/C][C]-0.030382[/C][C]-0.2578[/C][C]0.398648[/C][/ROW]
[ROW][C]30[/C][C]-0.031334[/C][C]-0.2659[/C][C]0.395547[/C][/ROW]
[ROW][C]31[/C][C]0.040361[/C][C]0.3425[/C][C]0.366495[/C][/ROW]
[ROW][C]32[/C][C]-0.028903[/C][C]-0.2452[/C][C]0.403481[/C][/ROW]
[ROW][C]33[/C][C]-0.029763[/C][C]-0.2525[/C][C]0.400669[/C][/ROW]
[ROW][C]34[/C][C]-0.005519[/C][C]-0.0468[/C][C]0.481391[/C][/ROW]
[ROW][C]35[/C][C]-0.030093[/C][C]-0.2554[/C][C]0.39959[/C][/ROW]
[ROW][C]36[/C][C]-0.031027[/C][C]-0.2633[/C][C]0.396546[/C][/ROW]
[ROW][C]37[/C][C]-0.05181[/C][C]-0.4396[/C][C]0.330765[/C][/ROW]
[ROW][C]38[/C][C]-0.034418[/C][C]-0.292[/C][C]0.385547[/C][/ROW]
[ROW][C]39[/C][C]-0.035644[/C][C]-0.3025[/C][C]0.381589[/C][/ROW]
[ROW][C]40[/C][C]0.000382[/C][C]0.0032[/C][C]0.498711[/C][/ROW]
[ROW][C]41[/C][C]-0.035617[/C][C]-0.3022[/C][C]0.381677[/C][/ROW]
[ROW][C]42[/C][C]-0.036933[/C][C]-0.3134[/C][C]0.377447[/C][/ROW]
[ROW][C]43[/C][C]0.014327[/C][C]0.1216[/C][C]0.451791[/C][/ROW]
[ROW][C]44[/C][C]-0.035889[/C][C]-0.3045[/C][C]0.380801[/C][/ROW]
[ROW][C]45[/C][C]-0.037225[/C][C]-0.3159[/C][C]0.376508[/C][/ROW]
[ROW][C]46[/C][C]0.039284[/C][C]0.3333[/C][C]0.369925[/C][/ROW]
[ROW][C]47[/C][C]-0.034411[/C][C]-0.292[/C][C]0.385567[/C][/ROW]
[ROW][C]48[/C][C]-0.035638[/C][C]-0.3024[/C][C]0.381612[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=156434&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=156434&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
10.9572258.12230
2-0.021855-0.18540.4267
3-0.022343-0.18960.425082
4-0.049375-0.4190.338246
5-0.024664-0.20930.417409
6-0.025288-0.21460.415352
7-0.025254-0.21430.415464
8-0.026598-0.22570.411039
9-0.027325-0.23190.408651
100.0550640.46720.320871
11-0.024473-0.20770.41804
12-0.025087-0.21290.416015
13-0.219382-1.86150.033376
14-0.039188-0.33250.370232
15-0.040786-0.34610.365146
160.2340631.98610.025416
17-0.025314-0.21480.415266
18-0.025972-0.22040.4131
19-0.056631-0.48050.316155
20-0.02909-0.24680.402869
21-0.029962-0.25420.40002
220.1230881.04440.14989
23-0.023394-0.19850.421604
24-0.023955-0.20330.419752
25-0.131303-1.11410.134462
26-0.031196-0.26470.395996
27-0.0322-0.27320.392729
280.0290570.24660.402976
29-0.030382-0.25780.398648
30-0.031334-0.26590.395547
310.0403610.34250.366495
32-0.028903-0.24520.403481
33-0.029763-0.25250.400669
34-0.005519-0.04680.481391
35-0.030093-0.25540.39959
36-0.031027-0.26330.396546
37-0.05181-0.43960.330765
38-0.034418-0.2920.385547
39-0.035644-0.30250.381589
400.0003820.00320.498711
41-0.035617-0.30220.381677
42-0.036933-0.31340.377447
430.0143270.12160.451791
44-0.035889-0.30450.380801
45-0.037225-0.31590.376508
460.0392840.33330.369925
47-0.034411-0.2920.385567
48-0.035638-0.30240.381612



Parameters (Session):
par1 = 48 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ;
Parameters (R input):
par1 = 48 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ; par8 = ;
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 (par8 != '') par8 <- as.numeric(par8)
ox <- x
if (par8 == '') {
if (par2 == 0) {
x <- log(x)
} else {
x <- (x ^ par2 - 1) / par2
}
} else {
x <- log(x,base=par8)
}
if (par3 > 0) x <- diff(x,lag=1,difference=par3)
if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
bitmap(file='picts.png')
op <- par(mfrow=c(2,1))
plot(ox,type='l',main='Original Time Series',xlab='time',ylab='value')
if (par8=='') {
mytitle <- paste('Working Time Series (lambda=',par2,', d=',par3,', D=',par4,')',sep='')
mysub <- paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep='')
} else {
mytitle <- paste('Working Time Series (base=',par8,', d=',par3,', D=',par4,')',sep='')
mysub <- paste('(base=',par8,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep='')
}
plot(x,type='l', main=mytitle,xlab='time',ylab='value')
par(op)
dev.off()
bitmap(file='pic1.png')
racf <- acf(x, par1, main='Autocorrelation', xlab='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=mysub)
dev.off()
bitmap(file='pic2.png')
rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF',sub=mysub)
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')