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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationWed, 17 Dec 2008 05:28:16 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Dec/17/t122951706864y9zrmmls0nw6g.htm/, Retrieved Sun, 19 May 2024 05:39:50 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=34313, Retrieved Sun, 19 May 2024 05:39:50 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact145
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [(Partial) Autocorrelation Function] [PACF paper d=0 D=1] [2008-12-17 10:36:38] [11edab5c4db3615abbf782b1c6e7cacf]
-   P     [(Partial) Autocorrelation Function] [autocorrelation f...] [2008-12-17 12:28:16] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataseries X:
12.5
14.8
15.9
14.8
12.9
14.3
14.2
15.9
15.3
15.5
15.1
15
12.1
15.8
16.9
15.1
13.7
14.8
14.7
16
15.4
15
15.5
15.1
11.7
16.3
16.7
15
14.9
14.6
15.3
17.9
16.4
15.4
17.9
15.9
13.9
17.8
17.9
17.4
16.7
16
16.6
19.1
17.8
17.2
18.6
16.3
15.1
19.2
17.7
19.1
18
17.5
17.8
21.1
17.2
19.4
19.8
17.6
16.2
19.5
19.9
20
17.3
18.9
18.6
21.4
18.6
19.8
20.8
19.6
17.7
19.8
22.2
20.7
17.9
21.2
21.4
21.7
23.2
21.5
22.9
23.2
18.6




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=34313&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=34313&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=34313&T=0

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.0920020.78610.217187
20.2783592.37830.010006
30.5343434.56541e-05
40.1095580.93610.176164
50.1595721.36340.088476
60.3327982.84340.002893
7-0.078036-0.66670.25352
80.1078220.92120.179983
90.1986411.69720.04696
10-0.092172-0.78750.216763
11-0.033537-0.28650.387639
120.0446640.38160.351931
13-0.144822-1.23740.109959
14-0.055549-0.47460.318241
15-0.021719-0.18560.42665
16-0.256374-2.19050.015843
170.0099180.08470.46635
18-0.021188-0.1810.428421
19-0.182929-1.5630.061195
20-0.004592-0.03920.484405
210.0407320.3480.364417
22-0.210831-1.80130.037889
230.1929251.64840.051789
24-0.192902-1.64820.051809
25-0.043037-0.36770.357077
260.0940010.80310.212249
27-0.101553-0.86770.19421
28-0.066159-0.56530.286815
290.0917630.7840.217782
30-0.133304-1.13890.129224
310.000310.00260.498948
320.0383330.32750.372108
33-0.153055-1.30770.097539
340.0149610.12780.44932
350.0997890.85260.198335
36-0.067766-0.5790.282189
370.0694520.59340.277375
380.1283411.09650.138222
390.0092660.07920.468557
400.1345731.14980.126991
410.1183211.01090.157694
420.0360770.30820.379388
430.1342481.1470.12756
440.1878261.60480.05643
45-0.067251-0.57460.283667
460.1736781.48390.071069
470.0160880.13750.445526
48-0.051075-0.43640.331924
490.1143610.97710.165873
50-0.090548-0.77360.220821
51-0.119958-1.02490.154393
520.0434060.37090.355908
53-0.153879-1.31470.096356
54-0.161354-1.37860.086113
55-0.056166-0.47990.316373
56-0.191226-1.63380.053299
57-0.156866-1.34030.092158
58-0.098344-0.84030.201755
59-0.209694-1.79160.038669
60-0.126055-1.0770.142509

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.092002 & 0.7861 & 0.217187 \tabularnewline
2 & 0.278359 & 2.3783 & 0.010006 \tabularnewline
3 & 0.534343 & 4.5654 & 1e-05 \tabularnewline
4 & 0.109558 & 0.9361 & 0.176164 \tabularnewline
5 & 0.159572 & 1.3634 & 0.088476 \tabularnewline
6 & 0.332798 & 2.8434 & 0.002893 \tabularnewline
7 & -0.078036 & -0.6667 & 0.25352 \tabularnewline
8 & 0.107822 & 0.9212 & 0.179983 \tabularnewline
9 & 0.198641 & 1.6972 & 0.04696 \tabularnewline
10 & -0.092172 & -0.7875 & 0.216763 \tabularnewline
11 & -0.033537 & -0.2865 & 0.387639 \tabularnewline
12 & 0.044664 & 0.3816 & 0.351931 \tabularnewline
13 & -0.144822 & -1.2374 & 0.109959 \tabularnewline
14 & -0.055549 & -0.4746 & 0.318241 \tabularnewline
15 & -0.021719 & -0.1856 & 0.42665 \tabularnewline
16 & -0.256374 & -2.1905 & 0.015843 \tabularnewline
17 & 0.009918 & 0.0847 & 0.46635 \tabularnewline
18 & -0.021188 & -0.181 & 0.428421 \tabularnewline
19 & -0.182929 & -1.563 & 0.061195 \tabularnewline
20 & -0.004592 & -0.0392 & 0.484405 \tabularnewline
21 & 0.040732 & 0.348 & 0.364417 \tabularnewline
22 & -0.210831 & -1.8013 & 0.037889 \tabularnewline
23 & 0.192925 & 1.6484 & 0.051789 \tabularnewline
24 & -0.192902 & -1.6482 & 0.051809 \tabularnewline
25 & -0.043037 & -0.3677 & 0.357077 \tabularnewline
26 & 0.094001 & 0.8031 & 0.212249 \tabularnewline
27 & -0.101553 & -0.8677 & 0.19421 \tabularnewline
28 & -0.066159 & -0.5653 & 0.286815 \tabularnewline
29 & 0.091763 & 0.784 & 0.217782 \tabularnewline
30 & -0.133304 & -1.1389 & 0.129224 \tabularnewline
31 & 0.00031 & 0.0026 & 0.498948 \tabularnewline
32 & 0.038333 & 0.3275 & 0.372108 \tabularnewline
33 & -0.153055 & -1.3077 & 0.097539 \tabularnewline
34 & 0.014961 & 0.1278 & 0.44932 \tabularnewline
35 & 0.099789 & 0.8526 & 0.198335 \tabularnewline
36 & -0.067766 & -0.579 & 0.282189 \tabularnewline
37 & 0.069452 & 0.5934 & 0.277375 \tabularnewline
38 & 0.128341 & 1.0965 & 0.138222 \tabularnewline
39 & 0.009266 & 0.0792 & 0.468557 \tabularnewline
40 & 0.134573 & 1.1498 & 0.126991 \tabularnewline
41 & 0.118321 & 1.0109 & 0.157694 \tabularnewline
42 & 0.036077 & 0.3082 & 0.379388 \tabularnewline
43 & 0.134248 & 1.147 & 0.12756 \tabularnewline
44 & 0.187826 & 1.6048 & 0.05643 \tabularnewline
45 & -0.067251 & -0.5746 & 0.283667 \tabularnewline
46 & 0.173678 & 1.4839 & 0.071069 \tabularnewline
47 & 0.016088 & 0.1375 & 0.445526 \tabularnewline
48 & -0.051075 & -0.4364 & 0.331924 \tabularnewline
49 & 0.114361 & 0.9771 & 0.165873 \tabularnewline
50 & -0.090548 & -0.7736 & 0.220821 \tabularnewline
51 & -0.119958 & -1.0249 & 0.154393 \tabularnewline
52 & 0.043406 & 0.3709 & 0.355908 \tabularnewline
53 & -0.153879 & -1.3147 & 0.096356 \tabularnewline
54 & -0.161354 & -1.3786 & 0.086113 \tabularnewline
55 & -0.056166 & -0.4799 & 0.316373 \tabularnewline
56 & -0.191226 & -1.6338 & 0.053299 \tabularnewline
57 & -0.156866 & -1.3403 & 0.092158 \tabularnewline
58 & -0.098344 & -0.8403 & 0.201755 \tabularnewline
59 & -0.209694 & -1.7916 & 0.038669 \tabularnewline
60 & -0.126055 & -1.077 & 0.142509 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=34313&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]0.092002[/C][C]0.7861[/C][C]0.217187[/C][/ROW]
[ROW][C]2[/C][C]0.278359[/C][C]2.3783[/C][C]0.010006[/C][/ROW]
[ROW][C]3[/C][C]0.534343[/C][C]4.5654[/C][C]1e-05[/C][/ROW]
[ROW][C]4[/C][C]0.109558[/C][C]0.9361[/C][C]0.176164[/C][/ROW]
[ROW][C]5[/C][C]0.159572[/C][C]1.3634[/C][C]0.088476[/C][/ROW]
[ROW][C]6[/C][C]0.332798[/C][C]2.8434[/C][C]0.002893[/C][/ROW]
[ROW][C]7[/C][C]-0.078036[/C][C]-0.6667[/C][C]0.25352[/C][/ROW]
[ROW][C]8[/C][C]0.107822[/C][C]0.9212[/C][C]0.179983[/C][/ROW]
[ROW][C]9[/C][C]0.198641[/C][C]1.6972[/C][C]0.04696[/C][/ROW]
[ROW][C]10[/C][C]-0.092172[/C][C]-0.7875[/C][C]0.216763[/C][/ROW]
[ROW][C]11[/C][C]-0.033537[/C][C]-0.2865[/C][C]0.387639[/C][/ROW]
[ROW][C]12[/C][C]0.044664[/C][C]0.3816[/C][C]0.351931[/C][/ROW]
[ROW][C]13[/C][C]-0.144822[/C][C]-1.2374[/C][C]0.109959[/C][/ROW]
[ROW][C]14[/C][C]-0.055549[/C][C]-0.4746[/C][C]0.318241[/C][/ROW]
[ROW][C]15[/C][C]-0.021719[/C][C]-0.1856[/C][C]0.42665[/C][/ROW]
[ROW][C]16[/C][C]-0.256374[/C][C]-2.1905[/C][C]0.015843[/C][/ROW]
[ROW][C]17[/C][C]0.009918[/C][C]0.0847[/C][C]0.46635[/C][/ROW]
[ROW][C]18[/C][C]-0.021188[/C][C]-0.181[/C][C]0.428421[/C][/ROW]
[ROW][C]19[/C][C]-0.182929[/C][C]-1.563[/C][C]0.061195[/C][/ROW]
[ROW][C]20[/C][C]-0.004592[/C][C]-0.0392[/C][C]0.484405[/C][/ROW]
[ROW][C]21[/C][C]0.040732[/C][C]0.348[/C][C]0.364417[/C][/ROW]
[ROW][C]22[/C][C]-0.210831[/C][C]-1.8013[/C][C]0.037889[/C][/ROW]
[ROW][C]23[/C][C]0.192925[/C][C]1.6484[/C][C]0.051789[/C][/ROW]
[ROW][C]24[/C][C]-0.192902[/C][C]-1.6482[/C][C]0.051809[/C][/ROW]
[ROW][C]25[/C][C]-0.043037[/C][C]-0.3677[/C][C]0.357077[/C][/ROW]
[ROW][C]26[/C][C]0.094001[/C][C]0.8031[/C][C]0.212249[/C][/ROW]
[ROW][C]27[/C][C]-0.101553[/C][C]-0.8677[/C][C]0.19421[/C][/ROW]
[ROW][C]28[/C][C]-0.066159[/C][C]-0.5653[/C][C]0.286815[/C][/ROW]
[ROW][C]29[/C][C]0.091763[/C][C]0.784[/C][C]0.217782[/C][/ROW]
[ROW][C]30[/C][C]-0.133304[/C][C]-1.1389[/C][C]0.129224[/C][/ROW]
[ROW][C]31[/C][C]0.00031[/C][C]0.0026[/C][C]0.498948[/C][/ROW]
[ROW][C]32[/C][C]0.038333[/C][C]0.3275[/C][C]0.372108[/C][/ROW]
[ROW][C]33[/C][C]-0.153055[/C][C]-1.3077[/C][C]0.097539[/C][/ROW]
[ROW][C]34[/C][C]0.014961[/C][C]0.1278[/C][C]0.44932[/C][/ROW]
[ROW][C]35[/C][C]0.099789[/C][C]0.8526[/C][C]0.198335[/C][/ROW]
[ROW][C]36[/C][C]-0.067766[/C][C]-0.579[/C][C]0.282189[/C][/ROW]
[ROW][C]37[/C][C]0.069452[/C][C]0.5934[/C][C]0.277375[/C][/ROW]
[ROW][C]38[/C][C]0.128341[/C][C]1.0965[/C][C]0.138222[/C][/ROW]
[ROW][C]39[/C][C]0.009266[/C][C]0.0792[/C][C]0.468557[/C][/ROW]
[ROW][C]40[/C][C]0.134573[/C][C]1.1498[/C][C]0.126991[/C][/ROW]
[ROW][C]41[/C][C]0.118321[/C][C]1.0109[/C][C]0.157694[/C][/ROW]
[ROW][C]42[/C][C]0.036077[/C][C]0.3082[/C][C]0.379388[/C][/ROW]
[ROW][C]43[/C][C]0.134248[/C][C]1.147[/C][C]0.12756[/C][/ROW]
[ROW][C]44[/C][C]0.187826[/C][C]1.6048[/C][C]0.05643[/C][/ROW]
[ROW][C]45[/C][C]-0.067251[/C][C]-0.5746[/C][C]0.283667[/C][/ROW]
[ROW][C]46[/C][C]0.173678[/C][C]1.4839[/C][C]0.071069[/C][/ROW]
[ROW][C]47[/C][C]0.016088[/C][C]0.1375[/C][C]0.445526[/C][/ROW]
[ROW][C]48[/C][C]-0.051075[/C][C]-0.4364[/C][C]0.331924[/C][/ROW]
[ROW][C]49[/C][C]0.114361[/C][C]0.9771[/C][C]0.165873[/C][/ROW]
[ROW][C]50[/C][C]-0.090548[/C][C]-0.7736[/C][C]0.220821[/C][/ROW]
[ROW][C]51[/C][C]-0.119958[/C][C]-1.0249[/C][C]0.154393[/C][/ROW]
[ROW][C]52[/C][C]0.043406[/C][C]0.3709[/C][C]0.355908[/C][/ROW]
[ROW][C]53[/C][C]-0.153879[/C][C]-1.3147[/C][C]0.096356[/C][/ROW]
[ROW][C]54[/C][C]-0.161354[/C][C]-1.3786[/C][C]0.086113[/C][/ROW]
[ROW][C]55[/C][C]-0.056166[/C][C]-0.4799[/C][C]0.316373[/C][/ROW]
[ROW][C]56[/C][C]-0.191226[/C][C]-1.6338[/C][C]0.053299[/C][/ROW]
[ROW][C]57[/C][C]-0.156866[/C][C]-1.3403[/C][C]0.092158[/C][/ROW]
[ROW][C]58[/C][C]-0.098344[/C][C]-0.8403[/C][C]0.201755[/C][/ROW]
[ROW][C]59[/C][C]-0.209694[/C][C]-1.7916[/C][C]0.038669[/C][/ROW]
[ROW][C]60[/C][C]-0.126055[/C][C]-1.077[/C][C]0.142509[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=34313&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=34313&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
10.0920020.78610.217187
20.2783592.37830.010006
30.5343434.56541e-05
40.1095580.93610.176164
50.1595721.36340.088476
60.3327982.84340.002893
7-0.078036-0.66670.25352
80.1078220.92120.179983
90.1986411.69720.04696
10-0.092172-0.78750.216763
11-0.033537-0.28650.387639
120.0446640.38160.351931
13-0.144822-1.23740.109959
14-0.055549-0.47460.318241
15-0.021719-0.18560.42665
16-0.256374-2.19050.015843
170.0099180.08470.46635
18-0.021188-0.1810.428421
19-0.182929-1.5630.061195
20-0.004592-0.03920.484405
210.0407320.3480.364417
22-0.210831-1.80130.037889
230.1929251.64840.051789
24-0.192902-1.64820.051809
25-0.043037-0.36770.357077
260.0940010.80310.212249
27-0.101553-0.86770.19421
28-0.066159-0.56530.286815
290.0917630.7840.217782
30-0.133304-1.13890.129224
310.000310.00260.498948
320.0383330.32750.372108
33-0.153055-1.30770.097539
340.0149610.12780.44932
350.0997890.85260.198335
36-0.067766-0.5790.282189
370.0694520.59340.277375
380.1283411.09650.138222
390.0092660.07920.468557
400.1345731.14980.126991
410.1183211.01090.157694
420.0360770.30820.379388
430.1342481.1470.12756
440.1878261.60480.05643
45-0.067251-0.57460.283667
460.1736781.48390.071069
470.0160880.13750.445526
48-0.051075-0.43640.331924
490.1143610.97710.165873
50-0.090548-0.77360.220821
51-0.119958-1.02490.154393
520.0434060.37090.355908
53-0.153879-1.31470.096356
54-0.161354-1.37860.086113
55-0.056166-0.47990.316373
56-0.191226-1.63380.053299
57-0.156866-1.34030.092158
58-0.098344-0.84030.201755
59-0.209694-1.79160.038669
60-0.126055-1.0770.142509







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.0920020.78610.217187
20.2721992.32570.011409
30.5344494.56631e-05
40.0557070.4760.317761
5-0.157485-1.34560.091306
60.0187430.16010.436606
7-0.208088-1.77790.039792
8-0.048932-0.41810.338559
90.1348761.15240.126462
100.0574970.49130.312359
11-0.167858-1.43420.077896
12-0.164619-1.40650.081909
13-0.050108-0.42810.334911
140.0414440.35410.362145
150.089840.76760.222603
16-0.134442-1.14870.127221
170.0554070.47340.318671
180.0891980.76210.224226
190.0133580.11410.454725
20-0.029147-0.2490.402018
210.0970620.82930.20482
22-0.145794-1.24570.108436
230.1499361.28110.102115
24-0.267107-2.28220.012698
250.0709730.60640.273068
260.0114880.09820.46104
270.0058530.050.480126
28-0.032973-0.28170.389476
29-0.009443-0.08070.467957
30-0.033368-0.28510.388188
31-0.032031-0.27370.392554
320.0001210.0010.499589
33-0.018191-0.15540.438458
340.0985760.84220.201204
350.1318581.12660.131802
360.0890030.76040.22472
370.0687680.58760.279322
38-0.048189-0.41170.340872
390.0462070.39480.347074
40-0.065652-0.56090.288282
410.0240.20510.419048
420.0397120.33930.36768
430.0396550.33880.367862
44-0.008043-0.06870.472701
45-0.118299-1.01070.157739
46-0.119588-1.02180.155134
47-0.036896-0.31520.376738
48-0.111469-0.95240.172021
490.134251.1470.127557
50-0.028558-0.2440.403957
51-0.001168-0.010.496031
52-0.096304-0.82280.206645
530.0014830.01270.494964
54-0.036096-0.30840.379326
55-0.006302-0.05380.478603
56-0.000702-0.0060.497615
57-0.04322-0.36930.356496
58-0.076338-0.65220.258151
59-0.022581-0.19290.423773
600.0437430.37370.354841

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.092002 & 0.7861 & 0.217187 \tabularnewline
2 & 0.272199 & 2.3257 & 0.011409 \tabularnewline
3 & 0.534449 & 4.5663 & 1e-05 \tabularnewline
4 & 0.055707 & 0.476 & 0.317761 \tabularnewline
5 & -0.157485 & -1.3456 & 0.091306 \tabularnewline
6 & 0.018743 & 0.1601 & 0.436606 \tabularnewline
7 & -0.208088 & -1.7779 & 0.039792 \tabularnewline
8 & -0.048932 & -0.4181 & 0.338559 \tabularnewline
9 & 0.134876 & 1.1524 & 0.126462 \tabularnewline
10 & 0.057497 & 0.4913 & 0.312359 \tabularnewline
11 & -0.167858 & -1.4342 & 0.077896 \tabularnewline
12 & -0.164619 & -1.4065 & 0.081909 \tabularnewline
13 & -0.050108 & -0.4281 & 0.334911 \tabularnewline
14 & 0.041444 & 0.3541 & 0.362145 \tabularnewline
15 & 0.08984 & 0.7676 & 0.222603 \tabularnewline
16 & -0.134442 & -1.1487 & 0.127221 \tabularnewline
17 & 0.055407 & 0.4734 & 0.318671 \tabularnewline
18 & 0.089198 & 0.7621 & 0.224226 \tabularnewline
19 & 0.013358 & 0.1141 & 0.454725 \tabularnewline
20 & -0.029147 & -0.249 & 0.402018 \tabularnewline
21 & 0.097062 & 0.8293 & 0.20482 \tabularnewline
22 & -0.145794 & -1.2457 & 0.108436 \tabularnewline
23 & 0.149936 & 1.2811 & 0.102115 \tabularnewline
24 & -0.267107 & -2.2822 & 0.012698 \tabularnewline
25 & 0.070973 & 0.6064 & 0.273068 \tabularnewline
26 & 0.011488 & 0.0982 & 0.46104 \tabularnewline
27 & 0.005853 & 0.05 & 0.480126 \tabularnewline
28 & -0.032973 & -0.2817 & 0.389476 \tabularnewline
29 & -0.009443 & -0.0807 & 0.467957 \tabularnewline
30 & -0.033368 & -0.2851 & 0.388188 \tabularnewline
31 & -0.032031 & -0.2737 & 0.392554 \tabularnewline
32 & 0.000121 & 0.001 & 0.499589 \tabularnewline
33 & -0.018191 & -0.1554 & 0.438458 \tabularnewline
34 & 0.098576 & 0.8422 & 0.201204 \tabularnewline
35 & 0.131858 & 1.1266 & 0.131802 \tabularnewline
36 & 0.089003 & 0.7604 & 0.22472 \tabularnewline
37 & 0.068768 & 0.5876 & 0.279322 \tabularnewline
38 & -0.048189 & -0.4117 & 0.340872 \tabularnewline
39 & 0.046207 & 0.3948 & 0.347074 \tabularnewline
40 & -0.065652 & -0.5609 & 0.288282 \tabularnewline
41 & 0.024 & 0.2051 & 0.419048 \tabularnewline
42 & 0.039712 & 0.3393 & 0.36768 \tabularnewline
43 & 0.039655 & 0.3388 & 0.367862 \tabularnewline
44 & -0.008043 & -0.0687 & 0.472701 \tabularnewline
45 & -0.118299 & -1.0107 & 0.157739 \tabularnewline
46 & -0.119588 & -1.0218 & 0.155134 \tabularnewline
47 & -0.036896 & -0.3152 & 0.376738 \tabularnewline
48 & -0.111469 & -0.9524 & 0.172021 \tabularnewline
49 & 0.13425 & 1.147 & 0.127557 \tabularnewline
50 & -0.028558 & -0.244 & 0.403957 \tabularnewline
51 & -0.001168 & -0.01 & 0.496031 \tabularnewline
52 & -0.096304 & -0.8228 & 0.206645 \tabularnewline
53 & 0.001483 & 0.0127 & 0.494964 \tabularnewline
54 & -0.036096 & -0.3084 & 0.379326 \tabularnewline
55 & -0.006302 & -0.0538 & 0.478603 \tabularnewline
56 & -0.000702 & -0.006 & 0.497615 \tabularnewline
57 & -0.04322 & -0.3693 & 0.356496 \tabularnewline
58 & -0.076338 & -0.6522 & 0.258151 \tabularnewline
59 & -0.022581 & -0.1929 & 0.423773 \tabularnewline
60 & 0.043743 & 0.3737 & 0.354841 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=34313&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]0.092002[/C][C]0.7861[/C][C]0.217187[/C][/ROW]
[ROW][C]2[/C][C]0.272199[/C][C]2.3257[/C][C]0.011409[/C][/ROW]
[ROW][C]3[/C][C]0.534449[/C][C]4.5663[/C][C]1e-05[/C][/ROW]
[ROW][C]4[/C][C]0.055707[/C][C]0.476[/C][C]0.317761[/C][/ROW]
[ROW][C]5[/C][C]-0.157485[/C][C]-1.3456[/C][C]0.091306[/C][/ROW]
[ROW][C]6[/C][C]0.018743[/C][C]0.1601[/C][C]0.436606[/C][/ROW]
[ROW][C]7[/C][C]-0.208088[/C][C]-1.7779[/C][C]0.039792[/C][/ROW]
[ROW][C]8[/C][C]-0.048932[/C][C]-0.4181[/C][C]0.338559[/C][/ROW]
[ROW][C]9[/C][C]0.134876[/C][C]1.1524[/C][C]0.126462[/C][/ROW]
[ROW][C]10[/C][C]0.057497[/C][C]0.4913[/C][C]0.312359[/C][/ROW]
[ROW][C]11[/C][C]-0.167858[/C][C]-1.4342[/C][C]0.077896[/C][/ROW]
[ROW][C]12[/C][C]-0.164619[/C][C]-1.4065[/C][C]0.081909[/C][/ROW]
[ROW][C]13[/C][C]-0.050108[/C][C]-0.4281[/C][C]0.334911[/C][/ROW]
[ROW][C]14[/C][C]0.041444[/C][C]0.3541[/C][C]0.362145[/C][/ROW]
[ROW][C]15[/C][C]0.08984[/C][C]0.7676[/C][C]0.222603[/C][/ROW]
[ROW][C]16[/C][C]-0.134442[/C][C]-1.1487[/C][C]0.127221[/C][/ROW]
[ROW][C]17[/C][C]0.055407[/C][C]0.4734[/C][C]0.318671[/C][/ROW]
[ROW][C]18[/C][C]0.089198[/C][C]0.7621[/C][C]0.224226[/C][/ROW]
[ROW][C]19[/C][C]0.013358[/C][C]0.1141[/C][C]0.454725[/C][/ROW]
[ROW][C]20[/C][C]-0.029147[/C][C]-0.249[/C][C]0.402018[/C][/ROW]
[ROW][C]21[/C][C]0.097062[/C][C]0.8293[/C][C]0.20482[/C][/ROW]
[ROW][C]22[/C][C]-0.145794[/C][C]-1.2457[/C][C]0.108436[/C][/ROW]
[ROW][C]23[/C][C]0.149936[/C][C]1.2811[/C][C]0.102115[/C][/ROW]
[ROW][C]24[/C][C]-0.267107[/C][C]-2.2822[/C][C]0.012698[/C][/ROW]
[ROW][C]25[/C][C]0.070973[/C][C]0.6064[/C][C]0.273068[/C][/ROW]
[ROW][C]26[/C][C]0.011488[/C][C]0.0982[/C][C]0.46104[/C][/ROW]
[ROW][C]27[/C][C]0.005853[/C][C]0.05[/C][C]0.480126[/C][/ROW]
[ROW][C]28[/C][C]-0.032973[/C][C]-0.2817[/C][C]0.389476[/C][/ROW]
[ROW][C]29[/C][C]-0.009443[/C][C]-0.0807[/C][C]0.467957[/C][/ROW]
[ROW][C]30[/C][C]-0.033368[/C][C]-0.2851[/C][C]0.388188[/C][/ROW]
[ROW][C]31[/C][C]-0.032031[/C][C]-0.2737[/C][C]0.392554[/C][/ROW]
[ROW][C]32[/C][C]0.000121[/C][C]0.001[/C][C]0.499589[/C][/ROW]
[ROW][C]33[/C][C]-0.018191[/C][C]-0.1554[/C][C]0.438458[/C][/ROW]
[ROW][C]34[/C][C]0.098576[/C][C]0.8422[/C][C]0.201204[/C][/ROW]
[ROW][C]35[/C][C]0.131858[/C][C]1.1266[/C][C]0.131802[/C][/ROW]
[ROW][C]36[/C][C]0.089003[/C][C]0.7604[/C][C]0.22472[/C][/ROW]
[ROW][C]37[/C][C]0.068768[/C][C]0.5876[/C][C]0.279322[/C][/ROW]
[ROW][C]38[/C][C]-0.048189[/C][C]-0.4117[/C][C]0.340872[/C][/ROW]
[ROW][C]39[/C][C]0.046207[/C][C]0.3948[/C][C]0.347074[/C][/ROW]
[ROW][C]40[/C][C]-0.065652[/C][C]-0.5609[/C][C]0.288282[/C][/ROW]
[ROW][C]41[/C][C]0.024[/C][C]0.2051[/C][C]0.419048[/C][/ROW]
[ROW][C]42[/C][C]0.039712[/C][C]0.3393[/C][C]0.36768[/C][/ROW]
[ROW][C]43[/C][C]0.039655[/C][C]0.3388[/C][C]0.367862[/C][/ROW]
[ROW][C]44[/C][C]-0.008043[/C][C]-0.0687[/C][C]0.472701[/C][/ROW]
[ROW][C]45[/C][C]-0.118299[/C][C]-1.0107[/C][C]0.157739[/C][/ROW]
[ROW][C]46[/C][C]-0.119588[/C][C]-1.0218[/C][C]0.155134[/C][/ROW]
[ROW][C]47[/C][C]-0.036896[/C][C]-0.3152[/C][C]0.376738[/C][/ROW]
[ROW][C]48[/C][C]-0.111469[/C][C]-0.9524[/C][C]0.172021[/C][/ROW]
[ROW][C]49[/C][C]0.13425[/C][C]1.147[/C][C]0.127557[/C][/ROW]
[ROW][C]50[/C][C]-0.028558[/C][C]-0.244[/C][C]0.403957[/C][/ROW]
[ROW][C]51[/C][C]-0.001168[/C][C]-0.01[/C][C]0.496031[/C][/ROW]
[ROW][C]52[/C][C]-0.096304[/C][C]-0.8228[/C][C]0.206645[/C][/ROW]
[ROW][C]53[/C][C]0.001483[/C][C]0.0127[/C][C]0.494964[/C][/ROW]
[ROW][C]54[/C][C]-0.036096[/C][C]-0.3084[/C][C]0.379326[/C][/ROW]
[ROW][C]55[/C][C]-0.006302[/C][C]-0.0538[/C][C]0.478603[/C][/ROW]
[ROW][C]56[/C][C]-0.000702[/C][C]-0.006[/C][C]0.497615[/C][/ROW]
[ROW][C]57[/C][C]-0.04322[/C][C]-0.3693[/C][C]0.356496[/C][/ROW]
[ROW][C]58[/C][C]-0.076338[/C][C]-0.6522[/C][C]0.258151[/C][/ROW]
[ROW][C]59[/C][C]-0.022581[/C][C]-0.1929[/C][C]0.423773[/C][/ROW]
[ROW][C]60[/C][C]0.043743[/C][C]0.3737[/C][C]0.354841[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=34313&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=34313&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
10.0920020.78610.217187
20.2721992.32570.011409
30.5344494.56631e-05
40.0557070.4760.317761
5-0.157485-1.34560.091306
60.0187430.16010.436606
7-0.208088-1.77790.039792
8-0.048932-0.41810.338559
90.1348761.15240.126462
100.0574970.49130.312359
11-0.167858-1.43420.077896
12-0.164619-1.40650.081909
13-0.050108-0.42810.334911
140.0414440.35410.362145
150.089840.76760.222603
16-0.134442-1.14870.127221
170.0554070.47340.318671
180.0891980.76210.224226
190.0133580.11410.454725
20-0.029147-0.2490.402018
210.0970620.82930.20482
22-0.145794-1.24570.108436
230.1499361.28110.102115
24-0.267107-2.28220.012698
250.0709730.60640.273068
260.0114880.09820.46104
270.0058530.050.480126
28-0.032973-0.28170.389476
29-0.009443-0.08070.467957
30-0.033368-0.28510.388188
31-0.032031-0.27370.392554
320.0001210.0010.499589
33-0.018191-0.15540.438458
340.0985760.84220.201204
350.1318581.12660.131802
360.0890030.76040.22472
370.0687680.58760.279322
38-0.048189-0.41170.340872
390.0462070.39480.347074
40-0.065652-0.56090.288282
410.0240.20510.419048
420.0397120.33930.36768
430.0396550.33880.367862
44-0.008043-0.06870.472701
45-0.118299-1.01070.157739
46-0.119588-1.02180.155134
47-0.036896-0.31520.376738
48-0.111469-0.95240.172021
490.134251.1470.127557
50-0.028558-0.2440.403957
51-0.001168-0.010.496031
52-0.096304-0.82280.206645
530.0014830.01270.494964
54-0.036096-0.30840.379326
55-0.006302-0.05380.478603
56-0.000702-0.0060.497615
57-0.04322-0.36930.356496
58-0.076338-0.65220.258151
59-0.022581-0.19290.423773
600.0437430.37370.354841



Parameters (Session):
par1 = 60 ; par2 = 1 ; par3 = 0 ; par4 = 1 ; par5 = 12 ;
Parameters (R input):
par1 = 60 ; par2 = 1 ; par3 = 0 ; par4 = 1 ; 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')