Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationWed, 28 Nov 2007 03:32:29 -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/2007/Nov/28/t1196245337wedgkgrqx6wguwr.htm/, Retrieved Thu, 02 May 2024 07:40:27 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=6992, Retrieved Thu, 02 May 2024 07:40:27 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact210
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [methode2 op tijdr...] [2007-11-28 10:32:29] [0c269222ff5238ed17e011dfedaec76b] [Current]
Feedback Forum

Post a new message
Dataseries X:
707.6
655.6
812.9
756.2
527.9
883.9
604.4
756.0
760.8
666.6
672.1
744.8
695.5
755.7
951.0
705.9
536.8
877.3
692.4
851.7
876.1
836.3
795.9
773.9
640.4
812.7
878.7
686.0
538.9
885.6
824.3
829.8
697.7
911.6
910.6
774.7
811.3
886.6
939.6
1221.8
626.6
944.2
655.4
887.6
685.5
1031.7
752.5
681.6
640.0
648.5
766.7
692.8
495.1
860.1
722.0
633.0
640.4
777.6
619.8
544.5




Summary of compuational 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 compuational 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=6992&T=0

[TABLE]
[ROW][C]Summary of compuational 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=6992&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=6992&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 compuational 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
017.7460
1-0.03081-0.23870.593906
20.1432331.10950.135825
30.105870.82010.207713
40.2484781.92470.029506
50.0395960.30670.380065
60.1948541.50930.068231
70.0475680.36850.356913
80.1451521.12430.132674
9-0.00969-0.07510.529792
10-0.076971-0.59620.723364
11-0.19402-1.50290.930941
120.2844862.20360.0157
13-0.281811-2.18290.983516
14-0.078177-0.60560.726453
15-0.082344-0.63780.736995
160.0129350.10020.460263
17-0.130567-1.01140.842049
18-0.084222-0.65240.741675
19-0.017901-0.13870.55491
20-0.017029-0.13190.552251
21-0.154068-1.19340.881295
22-0.076315-0.59110.721675
23-0.168571-1.30570.901689
240.1717281.33020.094243
25-0.088243-0.68350.751548
26-0.084327-0.65320.741938
27-0.069434-0.53780.703659
280.0213490.16540.434605
29-0.194853-1.50930.931767
30-0.139746-1.08250.858312
310.0848310.65710.256815
32-0.036763-0.28480.611598
33-0.144762-1.12130.86669
340.0066160.05120.479648
35-0.198658-1.53880.935444
360.0856450.66340.254806
37-0.097619-0.75620.773741
38-0.077188-0.59790.72392
39-0.05682-0.44010.669285
400.071470.55360.290955
41-0.06294-0.48750.686171
420.007410.05740.477211
430.1094310.84760.200001
44-0.024932-0.19310.576244
45-0.006754-0.05230.520773
460.0575190.44550.328766
47-0.00065-0.0050.502001
480.1020250.79030.216238
490.0218640.16940.433043
500.0194690.15080.440316
510.0431330.33410.369733
520.0485290.37590.354157
530.0022410.01740.493104
540.0118980.09220.46344
550.0641680.4970.310486
56-0.00331-0.02560.510184
570.0011740.00910.496387
580.0268370.20790.418014
590.0099860.07730.469302

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 7.746 & 0 \tabularnewline
1 & -0.03081 & -0.2387 & 0.593906 \tabularnewline
2 & 0.143233 & 1.1095 & 0.135825 \tabularnewline
3 & 0.10587 & 0.8201 & 0.207713 \tabularnewline
4 & 0.248478 & 1.9247 & 0.029506 \tabularnewline
5 & 0.039596 & 0.3067 & 0.380065 \tabularnewline
6 & 0.194854 & 1.5093 & 0.068231 \tabularnewline
7 & 0.047568 & 0.3685 & 0.356913 \tabularnewline
8 & 0.145152 & 1.1243 & 0.132674 \tabularnewline
9 & -0.00969 & -0.0751 & 0.529792 \tabularnewline
10 & -0.076971 & -0.5962 & 0.723364 \tabularnewline
11 & -0.19402 & -1.5029 & 0.930941 \tabularnewline
12 & 0.284486 & 2.2036 & 0.0157 \tabularnewline
13 & -0.281811 & -2.1829 & 0.983516 \tabularnewline
14 & -0.078177 & -0.6056 & 0.726453 \tabularnewline
15 & -0.082344 & -0.6378 & 0.736995 \tabularnewline
16 & 0.012935 & 0.1002 & 0.460263 \tabularnewline
17 & -0.130567 & -1.0114 & 0.842049 \tabularnewline
18 & -0.084222 & -0.6524 & 0.741675 \tabularnewline
19 & -0.017901 & -0.1387 & 0.55491 \tabularnewline
20 & -0.017029 & -0.1319 & 0.552251 \tabularnewline
21 & -0.154068 & -1.1934 & 0.881295 \tabularnewline
22 & -0.076315 & -0.5911 & 0.721675 \tabularnewline
23 & -0.168571 & -1.3057 & 0.901689 \tabularnewline
24 & 0.171728 & 1.3302 & 0.094243 \tabularnewline
25 & -0.088243 & -0.6835 & 0.751548 \tabularnewline
26 & -0.084327 & -0.6532 & 0.741938 \tabularnewline
27 & -0.069434 & -0.5378 & 0.703659 \tabularnewline
28 & 0.021349 & 0.1654 & 0.434605 \tabularnewline
29 & -0.194853 & -1.5093 & 0.931767 \tabularnewline
30 & -0.139746 & -1.0825 & 0.858312 \tabularnewline
31 & 0.084831 & 0.6571 & 0.256815 \tabularnewline
32 & -0.036763 & -0.2848 & 0.611598 \tabularnewline
33 & -0.144762 & -1.1213 & 0.86669 \tabularnewline
34 & 0.006616 & 0.0512 & 0.479648 \tabularnewline
35 & -0.198658 & -1.5388 & 0.935444 \tabularnewline
36 & 0.085645 & 0.6634 & 0.254806 \tabularnewline
37 & -0.097619 & -0.7562 & 0.773741 \tabularnewline
38 & -0.077188 & -0.5979 & 0.72392 \tabularnewline
39 & -0.05682 & -0.4401 & 0.669285 \tabularnewline
40 & 0.07147 & 0.5536 & 0.290955 \tabularnewline
41 & -0.06294 & -0.4875 & 0.686171 \tabularnewline
42 & 0.00741 & 0.0574 & 0.477211 \tabularnewline
43 & 0.109431 & 0.8476 & 0.200001 \tabularnewline
44 & -0.024932 & -0.1931 & 0.576244 \tabularnewline
45 & -0.006754 & -0.0523 & 0.520773 \tabularnewline
46 & 0.057519 & 0.4455 & 0.328766 \tabularnewline
47 & -0.00065 & -0.005 & 0.502001 \tabularnewline
48 & 0.102025 & 0.7903 & 0.216238 \tabularnewline
49 & 0.021864 & 0.1694 & 0.433043 \tabularnewline
50 & 0.019469 & 0.1508 & 0.440316 \tabularnewline
51 & 0.043133 & 0.3341 & 0.369733 \tabularnewline
52 & 0.048529 & 0.3759 & 0.354157 \tabularnewline
53 & 0.002241 & 0.0174 & 0.493104 \tabularnewline
54 & 0.011898 & 0.0922 & 0.46344 \tabularnewline
55 & 0.064168 & 0.497 & 0.310486 \tabularnewline
56 & -0.00331 & -0.0256 & 0.510184 \tabularnewline
57 & 0.001174 & 0.0091 & 0.496387 \tabularnewline
58 & 0.026837 & 0.2079 & 0.418014 \tabularnewline
59 & 0.009986 & 0.0773 & 0.469302 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=6992&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]0[/C][C]1[/C][C]7.746[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]-0.03081[/C][C]-0.2387[/C][C]0.593906[/C][/ROW]
[ROW][C]2[/C][C]0.143233[/C][C]1.1095[/C][C]0.135825[/C][/ROW]
[ROW][C]3[/C][C]0.10587[/C][C]0.8201[/C][C]0.207713[/C][/ROW]
[ROW][C]4[/C][C]0.248478[/C][C]1.9247[/C][C]0.029506[/C][/ROW]
[ROW][C]5[/C][C]0.039596[/C][C]0.3067[/C][C]0.380065[/C][/ROW]
[ROW][C]6[/C][C]0.194854[/C][C]1.5093[/C][C]0.068231[/C][/ROW]
[ROW][C]7[/C][C]0.047568[/C][C]0.3685[/C][C]0.356913[/C][/ROW]
[ROW][C]8[/C][C]0.145152[/C][C]1.1243[/C][C]0.132674[/C][/ROW]
[ROW][C]9[/C][C]-0.00969[/C][C]-0.0751[/C][C]0.529792[/C][/ROW]
[ROW][C]10[/C][C]-0.076971[/C][C]-0.5962[/C][C]0.723364[/C][/ROW]
[ROW][C]11[/C][C]-0.19402[/C][C]-1.5029[/C][C]0.930941[/C][/ROW]
[ROW][C]12[/C][C]0.284486[/C][C]2.2036[/C][C]0.0157[/C][/ROW]
[ROW][C]13[/C][C]-0.281811[/C][C]-2.1829[/C][C]0.983516[/C][/ROW]
[ROW][C]14[/C][C]-0.078177[/C][C]-0.6056[/C][C]0.726453[/C][/ROW]
[ROW][C]15[/C][C]-0.082344[/C][C]-0.6378[/C][C]0.736995[/C][/ROW]
[ROW][C]16[/C][C]0.012935[/C][C]0.1002[/C][C]0.460263[/C][/ROW]
[ROW][C]17[/C][C]-0.130567[/C][C]-1.0114[/C][C]0.842049[/C][/ROW]
[ROW][C]18[/C][C]-0.084222[/C][C]-0.6524[/C][C]0.741675[/C][/ROW]
[ROW][C]19[/C][C]-0.017901[/C][C]-0.1387[/C][C]0.55491[/C][/ROW]
[ROW][C]20[/C][C]-0.017029[/C][C]-0.1319[/C][C]0.552251[/C][/ROW]
[ROW][C]21[/C][C]-0.154068[/C][C]-1.1934[/C][C]0.881295[/C][/ROW]
[ROW][C]22[/C][C]-0.076315[/C][C]-0.5911[/C][C]0.721675[/C][/ROW]
[ROW][C]23[/C][C]-0.168571[/C][C]-1.3057[/C][C]0.901689[/C][/ROW]
[ROW][C]24[/C][C]0.171728[/C][C]1.3302[/C][C]0.094243[/C][/ROW]
[ROW][C]25[/C][C]-0.088243[/C][C]-0.6835[/C][C]0.751548[/C][/ROW]
[ROW][C]26[/C][C]-0.084327[/C][C]-0.6532[/C][C]0.741938[/C][/ROW]
[ROW][C]27[/C][C]-0.069434[/C][C]-0.5378[/C][C]0.703659[/C][/ROW]
[ROW][C]28[/C][C]0.021349[/C][C]0.1654[/C][C]0.434605[/C][/ROW]
[ROW][C]29[/C][C]-0.194853[/C][C]-1.5093[/C][C]0.931767[/C][/ROW]
[ROW][C]30[/C][C]-0.139746[/C][C]-1.0825[/C][C]0.858312[/C][/ROW]
[ROW][C]31[/C][C]0.084831[/C][C]0.6571[/C][C]0.256815[/C][/ROW]
[ROW][C]32[/C][C]-0.036763[/C][C]-0.2848[/C][C]0.611598[/C][/ROW]
[ROW][C]33[/C][C]-0.144762[/C][C]-1.1213[/C][C]0.86669[/C][/ROW]
[ROW][C]34[/C][C]0.006616[/C][C]0.0512[/C][C]0.479648[/C][/ROW]
[ROW][C]35[/C][C]-0.198658[/C][C]-1.5388[/C][C]0.935444[/C][/ROW]
[ROW][C]36[/C][C]0.085645[/C][C]0.6634[/C][C]0.254806[/C][/ROW]
[ROW][C]37[/C][C]-0.097619[/C][C]-0.7562[/C][C]0.773741[/C][/ROW]
[ROW][C]38[/C][C]-0.077188[/C][C]-0.5979[/C][C]0.72392[/C][/ROW]
[ROW][C]39[/C][C]-0.05682[/C][C]-0.4401[/C][C]0.669285[/C][/ROW]
[ROW][C]40[/C][C]0.07147[/C][C]0.5536[/C][C]0.290955[/C][/ROW]
[ROW][C]41[/C][C]-0.06294[/C][C]-0.4875[/C][C]0.686171[/C][/ROW]
[ROW][C]42[/C][C]0.00741[/C][C]0.0574[/C][C]0.477211[/C][/ROW]
[ROW][C]43[/C][C]0.109431[/C][C]0.8476[/C][C]0.200001[/C][/ROW]
[ROW][C]44[/C][C]-0.024932[/C][C]-0.1931[/C][C]0.576244[/C][/ROW]
[ROW][C]45[/C][C]-0.006754[/C][C]-0.0523[/C][C]0.520773[/C][/ROW]
[ROW][C]46[/C][C]0.057519[/C][C]0.4455[/C][C]0.328766[/C][/ROW]
[ROW][C]47[/C][C]-0.00065[/C][C]-0.005[/C][C]0.502001[/C][/ROW]
[ROW][C]48[/C][C]0.102025[/C][C]0.7903[/C][C]0.216238[/C][/ROW]
[ROW][C]49[/C][C]0.021864[/C][C]0.1694[/C][C]0.433043[/C][/ROW]
[ROW][C]50[/C][C]0.019469[/C][C]0.1508[/C][C]0.440316[/C][/ROW]
[ROW][C]51[/C][C]0.043133[/C][C]0.3341[/C][C]0.369733[/C][/ROW]
[ROW][C]52[/C][C]0.048529[/C][C]0.3759[/C][C]0.354157[/C][/ROW]
[ROW][C]53[/C][C]0.002241[/C][C]0.0174[/C][C]0.493104[/C][/ROW]
[ROW][C]54[/C][C]0.011898[/C][C]0.0922[/C][C]0.46344[/C][/ROW]
[ROW][C]55[/C][C]0.064168[/C][C]0.497[/C][C]0.310486[/C][/ROW]
[ROW][C]56[/C][C]-0.00331[/C][C]-0.0256[/C][C]0.510184[/C][/ROW]
[ROW][C]57[/C][C]0.001174[/C][C]0.0091[/C][C]0.496387[/C][/ROW]
[ROW][C]58[/C][C]0.026837[/C][C]0.2079[/C][C]0.418014[/C][/ROW]
[ROW][C]59[/C][C]0.009986[/C][C]0.0773[/C][C]0.469302[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=6992&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=6992&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
017.7460
1-0.03081-0.23870.593906
20.1432331.10950.135825
30.105870.82010.207713
40.2484781.92470.029506
50.0395960.30670.380065
60.1948541.50930.068231
70.0475680.36850.356913
80.1451521.12430.132674
9-0.00969-0.07510.529792
10-0.076971-0.59620.723364
11-0.19402-1.50290.930941
120.2844862.20360.0157
13-0.281811-2.18290.983516
14-0.078177-0.60560.726453
15-0.082344-0.63780.736995
160.0129350.10020.460263
17-0.130567-1.01140.842049
18-0.084222-0.65240.741675
19-0.017901-0.13870.55491
20-0.017029-0.13190.552251
21-0.154068-1.19340.881295
22-0.076315-0.59110.721675
23-0.168571-1.30570.901689
240.1717281.33020.094243
25-0.088243-0.68350.751548
26-0.084327-0.65320.741938
27-0.069434-0.53780.703659
280.0213490.16540.434605
29-0.194853-1.50930.931767
30-0.139746-1.08250.858312
310.0848310.65710.256815
32-0.036763-0.28480.611598
33-0.144762-1.12130.86669
340.0066160.05120.479648
35-0.198658-1.53880.935444
360.0856450.66340.254806
37-0.097619-0.75620.773741
38-0.077188-0.59790.72392
39-0.05682-0.44010.669285
400.071470.55360.290955
41-0.06294-0.48750.686171
420.007410.05740.477211
430.1094310.84760.200001
44-0.024932-0.19310.576244
45-0.006754-0.05230.520773
460.0575190.44550.328766
47-0.00065-0.0050.502001
480.1020250.79030.216238
490.0218640.16940.433043
500.0194690.15080.440316
510.0431330.33410.369733
520.0485290.37590.354157
530.0022410.01740.493104
540.0118980.09220.46344
550.0641680.4970.310486
56-0.00331-0.02560.510184
570.0011740.00910.496387
580.0268370.20790.418014
590.0099860.07730.469302







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
0-0.03081-0.23870.593906
10.1424191.10320.137178
20.1165140.90250.185197
30.2442071.89160.031686
40.0385970.2990.382999
50.1376281.06610.145334
60.0087090.06750.473221
70.0552520.4280.335098
8-0.0604-0.46790.679208
9-0.20763-1.60830.94349
10-0.309533-2.39760.990185
110.2289171.77320.040637
12-0.233947-1.81210.962516
13-0.095752-0.74170.769417
140.0245680.19030.424858
150.0498850.38640.350281
160.1099290.85150.198937
17-0.045013-0.34870.635721
180.1433491.11040.135633
190.0064950.05030.480021
20-0.171793-1.33070.905839
21-0.047801-0.37030.643754
22-0.20114-1.5580.937757
230.0003040.00240.499066
240.1116460.86480.195295
25-0.108612-0.84130.798241
260.0058730.04550.481933
27-0.002589-0.02010.507968
28-0.14995-1.16150.874982
29-0.102129-0.79110.783995
300.0182470.14130.444036
31-0.010532-0.08160.532375
32-0.075295-0.58320.719039
330.0429720.33290.3702
34-0.076808-0.59490.722943
350.0102350.07930.468538
36-0.009587-0.07430.529476
37-0.016118-0.12480.549469
38-0.084695-0.6560.742849
39-0.054501-0.42220.662794
400.0827040.64060.262105
410.0647920.50190.308795
42-0.026726-0.2070.581653
43-0.064097-0.49650.68932
440.0354210.27440.392371
45-0.075827-0.58740.720414
460.0517390.40080.345008
47-0.097097-0.75210.772537
48-0.05469-0.42360.663323
49-0.065727-0.50910.693731
50-0.043371-0.3360.63096
51-0.007705-0.05970.523696
520.0017880.01380.494499
530.1158930.89770.186465
540.0081180.06290.475035
55-0.055675-0.43130.666086
560.0090270.06990.472243
57-0.046317-0.35880.639486
58-0.084016-0.65080.741165
59NANANA

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & -0.03081 & -0.2387 & 0.593906 \tabularnewline
1 & 0.142419 & 1.1032 & 0.137178 \tabularnewline
2 & 0.116514 & 0.9025 & 0.185197 \tabularnewline
3 & 0.244207 & 1.8916 & 0.031686 \tabularnewline
4 & 0.038597 & 0.299 & 0.382999 \tabularnewline
5 & 0.137628 & 1.0661 & 0.145334 \tabularnewline
6 & 0.008709 & 0.0675 & 0.473221 \tabularnewline
7 & 0.055252 & 0.428 & 0.335098 \tabularnewline
8 & -0.0604 & -0.4679 & 0.679208 \tabularnewline
9 & -0.20763 & -1.6083 & 0.94349 \tabularnewline
10 & -0.309533 & -2.3976 & 0.990185 \tabularnewline
11 & 0.228917 & 1.7732 & 0.040637 \tabularnewline
12 & -0.233947 & -1.8121 & 0.962516 \tabularnewline
13 & -0.095752 & -0.7417 & 0.769417 \tabularnewline
14 & 0.024568 & 0.1903 & 0.424858 \tabularnewline
15 & 0.049885 & 0.3864 & 0.350281 \tabularnewline
16 & 0.109929 & 0.8515 & 0.198937 \tabularnewline
17 & -0.045013 & -0.3487 & 0.635721 \tabularnewline
18 & 0.143349 & 1.1104 & 0.135633 \tabularnewline
19 & 0.006495 & 0.0503 & 0.480021 \tabularnewline
20 & -0.171793 & -1.3307 & 0.905839 \tabularnewline
21 & -0.047801 & -0.3703 & 0.643754 \tabularnewline
22 & -0.20114 & -1.558 & 0.937757 \tabularnewline
23 & 0.000304 & 0.0024 & 0.499066 \tabularnewline
24 & 0.111646 & 0.8648 & 0.195295 \tabularnewline
25 & -0.108612 & -0.8413 & 0.798241 \tabularnewline
26 & 0.005873 & 0.0455 & 0.481933 \tabularnewline
27 & -0.002589 & -0.0201 & 0.507968 \tabularnewline
28 & -0.14995 & -1.1615 & 0.874982 \tabularnewline
29 & -0.102129 & -0.7911 & 0.783995 \tabularnewline
30 & 0.018247 & 0.1413 & 0.444036 \tabularnewline
31 & -0.010532 & -0.0816 & 0.532375 \tabularnewline
32 & -0.075295 & -0.5832 & 0.719039 \tabularnewline
33 & 0.042972 & 0.3329 & 0.3702 \tabularnewline
34 & -0.076808 & -0.5949 & 0.722943 \tabularnewline
35 & 0.010235 & 0.0793 & 0.468538 \tabularnewline
36 & -0.009587 & -0.0743 & 0.529476 \tabularnewline
37 & -0.016118 & -0.1248 & 0.549469 \tabularnewline
38 & -0.084695 & -0.656 & 0.742849 \tabularnewline
39 & -0.054501 & -0.4222 & 0.662794 \tabularnewline
40 & 0.082704 & 0.6406 & 0.262105 \tabularnewline
41 & 0.064792 & 0.5019 & 0.308795 \tabularnewline
42 & -0.026726 & -0.207 & 0.581653 \tabularnewline
43 & -0.064097 & -0.4965 & 0.68932 \tabularnewline
44 & 0.035421 & 0.2744 & 0.392371 \tabularnewline
45 & -0.075827 & -0.5874 & 0.720414 \tabularnewline
46 & 0.051739 & 0.4008 & 0.345008 \tabularnewline
47 & -0.097097 & -0.7521 & 0.772537 \tabularnewline
48 & -0.05469 & -0.4236 & 0.663323 \tabularnewline
49 & -0.065727 & -0.5091 & 0.693731 \tabularnewline
50 & -0.043371 & -0.336 & 0.63096 \tabularnewline
51 & -0.007705 & -0.0597 & 0.523696 \tabularnewline
52 & 0.001788 & 0.0138 & 0.494499 \tabularnewline
53 & 0.115893 & 0.8977 & 0.186465 \tabularnewline
54 & 0.008118 & 0.0629 & 0.475035 \tabularnewline
55 & -0.055675 & -0.4313 & 0.666086 \tabularnewline
56 & 0.009027 & 0.0699 & 0.472243 \tabularnewline
57 & -0.046317 & -0.3588 & 0.639486 \tabularnewline
58 & -0.084016 & -0.6508 & 0.741165 \tabularnewline
59 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=6992&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]0[/C][C]-0.03081[/C][C]-0.2387[/C][C]0.593906[/C][/ROW]
[ROW][C]1[/C][C]0.142419[/C][C]1.1032[/C][C]0.137178[/C][/ROW]
[ROW][C]2[/C][C]0.116514[/C][C]0.9025[/C][C]0.185197[/C][/ROW]
[ROW][C]3[/C][C]0.244207[/C][C]1.8916[/C][C]0.031686[/C][/ROW]
[ROW][C]4[/C][C]0.038597[/C][C]0.299[/C][C]0.382999[/C][/ROW]
[ROW][C]5[/C][C]0.137628[/C][C]1.0661[/C][C]0.145334[/C][/ROW]
[ROW][C]6[/C][C]0.008709[/C][C]0.0675[/C][C]0.473221[/C][/ROW]
[ROW][C]7[/C][C]0.055252[/C][C]0.428[/C][C]0.335098[/C][/ROW]
[ROW][C]8[/C][C]-0.0604[/C][C]-0.4679[/C][C]0.679208[/C][/ROW]
[ROW][C]9[/C][C]-0.20763[/C][C]-1.6083[/C][C]0.94349[/C][/ROW]
[ROW][C]10[/C][C]-0.309533[/C][C]-2.3976[/C][C]0.990185[/C][/ROW]
[ROW][C]11[/C][C]0.228917[/C][C]1.7732[/C][C]0.040637[/C][/ROW]
[ROW][C]12[/C][C]-0.233947[/C][C]-1.8121[/C][C]0.962516[/C][/ROW]
[ROW][C]13[/C][C]-0.095752[/C][C]-0.7417[/C][C]0.769417[/C][/ROW]
[ROW][C]14[/C][C]0.024568[/C][C]0.1903[/C][C]0.424858[/C][/ROW]
[ROW][C]15[/C][C]0.049885[/C][C]0.3864[/C][C]0.350281[/C][/ROW]
[ROW][C]16[/C][C]0.109929[/C][C]0.8515[/C][C]0.198937[/C][/ROW]
[ROW][C]17[/C][C]-0.045013[/C][C]-0.3487[/C][C]0.635721[/C][/ROW]
[ROW][C]18[/C][C]0.143349[/C][C]1.1104[/C][C]0.135633[/C][/ROW]
[ROW][C]19[/C][C]0.006495[/C][C]0.0503[/C][C]0.480021[/C][/ROW]
[ROW][C]20[/C][C]-0.171793[/C][C]-1.3307[/C][C]0.905839[/C][/ROW]
[ROW][C]21[/C][C]-0.047801[/C][C]-0.3703[/C][C]0.643754[/C][/ROW]
[ROW][C]22[/C][C]-0.20114[/C][C]-1.558[/C][C]0.937757[/C][/ROW]
[ROW][C]23[/C][C]0.000304[/C][C]0.0024[/C][C]0.499066[/C][/ROW]
[ROW][C]24[/C][C]0.111646[/C][C]0.8648[/C][C]0.195295[/C][/ROW]
[ROW][C]25[/C][C]-0.108612[/C][C]-0.8413[/C][C]0.798241[/C][/ROW]
[ROW][C]26[/C][C]0.005873[/C][C]0.0455[/C][C]0.481933[/C][/ROW]
[ROW][C]27[/C][C]-0.002589[/C][C]-0.0201[/C][C]0.507968[/C][/ROW]
[ROW][C]28[/C][C]-0.14995[/C][C]-1.1615[/C][C]0.874982[/C][/ROW]
[ROW][C]29[/C][C]-0.102129[/C][C]-0.7911[/C][C]0.783995[/C][/ROW]
[ROW][C]30[/C][C]0.018247[/C][C]0.1413[/C][C]0.444036[/C][/ROW]
[ROW][C]31[/C][C]-0.010532[/C][C]-0.0816[/C][C]0.532375[/C][/ROW]
[ROW][C]32[/C][C]-0.075295[/C][C]-0.5832[/C][C]0.719039[/C][/ROW]
[ROW][C]33[/C][C]0.042972[/C][C]0.3329[/C][C]0.3702[/C][/ROW]
[ROW][C]34[/C][C]-0.076808[/C][C]-0.5949[/C][C]0.722943[/C][/ROW]
[ROW][C]35[/C][C]0.010235[/C][C]0.0793[/C][C]0.468538[/C][/ROW]
[ROW][C]36[/C][C]-0.009587[/C][C]-0.0743[/C][C]0.529476[/C][/ROW]
[ROW][C]37[/C][C]-0.016118[/C][C]-0.1248[/C][C]0.549469[/C][/ROW]
[ROW][C]38[/C][C]-0.084695[/C][C]-0.656[/C][C]0.742849[/C][/ROW]
[ROW][C]39[/C][C]-0.054501[/C][C]-0.4222[/C][C]0.662794[/C][/ROW]
[ROW][C]40[/C][C]0.082704[/C][C]0.6406[/C][C]0.262105[/C][/ROW]
[ROW][C]41[/C][C]0.064792[/C][C]0.5019[/C][C]0.308795[/C][/ROW]
[ROW][C]42[/C][C]-0.026726[/C][C]-0.207[/C][C]0.581653[/C][/ROW]
[ROW][C]43[/C][C]-0.064097[/C][C]-0.4965[/C][C]0.68932[/C][/ROW]
[ROW][C]44[/C][C]0.035421[/C][C]0.2744[/C][C]0.392371[/C][/ROW]
[ROW][C]45[/C][C]-0.075827[/C][C]-0.5874[/C][C]0.720414[/C][/ROW]
[ROW][C]46[/C][C]0.051739[/C][C]0.4008[/C][C]0.345008[/C][/ROW]
[ROW][C]47[/C][C]-0.097097[/C][C]-0.7521[/C][C]0.772537[/C][/ROW]
[ROW][C]48[/C][C]-0.05469[/C][C]-0.4236[/C][C]0.663323[/C][/ROW]
[ROW][C]49[/C][C]-0.065727[/C][C]-0.5091[/C][C]0.693731[/C][/ROW]
[ROW][C]50[/C][C]-0.043371[/C][C]-0.336[/C][C]0.63096[/C][/ROW]
[ROW][C]51[/C][C]-0.007705[/C][C]-0.0597[/C][C]0.523696[/C][/ROW]
[ROW][C]52[/C][C]0.001788[/C][C]0.0138[/C][C]0.494499[/C][/ROW]
[ROW][C]53[/C][C]0.115893[/C][C]0.8977[/C][C]0.186465[/C][/ROW]
[ROW][C]54[/C][C]0.008118[/C][C]0.0629[/C][C]0.475035[/C][/ROW]
[ROW][C]55[/C][C]-0.055675[/C][C]-0.4313[/C][C]0.666086[/C][/ROW]
[ROW][C]56[/C][C]0.009027[/C][C]0.0699[/C][C]0.472243[/C][/ROW]
[ROW][C]57[/C][C]-0.046317[/C][C]-0.3588[/C][C]0.639486[/C][/ROW]
[ROW][C]58[/C][C]-0.084016[/C][C]-0.6508[/C][C]0.741165[/C][/ROW]
[ROW][C]59[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=6992&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=6992&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
0-0.03081-0.23870.593906
10.1424191.10320.137178
20.1165140.90250.185197
30.2442071.89160.031686
40.0385970.2990.382999
50.1376281.06610.145334
60.0087090.06750.473221
70.0552520.4280.335098
8-0.0604-0.46790.679208
9-0.20763-1.60830.94349
10-0.309533-2.39760.990185
110.2289171.77320.040637
12-0.233947-1.81210.962516
13-0.095752-0.74170.769417
140.0245680.19030.424858
150.0498850.38640.350281
160.1099290.85150.198937
17-0.045013-0.34870.635721
180.1433491.11040.135633
190.0064950.05030.480021
20-0.171793-1.33070.905839
21-0.047801-0.37030.643754
22-0.20114-1.5580.937757
230.0003040.00240.499066
240.1116460.86480.195295
25-0.108612-0.84130.798241
260.0058730.04550.481933
27-0.002589-0.02010.507968
28-0.14995-1.16150.874982
29-0.102129-0.79110.783995
300.0182470.14130.444036
31-0.010532-0.08160.532375
32-0.075295-0.58320.719039
330.0429720.33290.3702
34-0.076808-0.59490.722943
350.0102350.07930.468538
36-0.009587-0.07430.529476
37-0.016118-0.12480.549469
38-0.084695-0.6560.742849
39-0.054501-0.42220.662794
400.0827040.64060.262105
410.0647920.50190.308795
42-0.026726-0.2070.581653
43-0.064097-0.49650.68932
440.0354210.27440.392371
45-0.075827-0.58740.720414
460.0517390.40080.345008
47-0.097097-0.75210.772537
48-0.05469-0.42360.663323
49-0.065727-0.50910.693731
50-0.043371-0.3360.63096
51-0.007705-0.05970.523696
520.0017880.01380.494499
530.1158930.89770.186465
540.0081180.06290.475035
55-0.055675-0.43130.666086
560.0090270.06990.472243
57-0.046317-0.35880.639486
58-0.084016-0.65080.741165
59NANANA



Parameters (Session):
par1 = 1 ;
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 1:par1) {
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(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-1,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(mytstat,lengthx),6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')