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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationTue, 16 Dec 2008 10:56:25 -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/16/t1229450226f0jyw9p2a9r4j3r.htm/, Retrieved Wed, 15 May 2024 04:03:30 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=34063, Retrieved Wed, 15 May 2024 04:03:30 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact180
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [(Partial) Autocorrelation Function] [Partial Autocorre...] [2008-12-11 17:41:17] [888addc516c3b812dd7be4bd54caa358]
-    D    [(Partial) Autocorrelation Function] [Partial Autocorre...] [2008-12-16 17:56:25] [4f54996111e63ee83b19b6a8540c6bad] [Current]
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Dataseries X:
5.7
5.7
5.6
5.8
5.6
5.6
5.6
5.5
5.4
5.4
5.5
5.4
5.4
5.2
5.4
5.2
5.1
5.1
5.0
5.0
4.9
5.1
5.0
5.0
4.8
4.7
4.7
4.7
4.7
4.7
4.6
4.7
4.7
4.5
4.4
4.5
4.4
4.6
4.5
4.4
4.5
4.5
4.6
4.7
4.7
4.7
4.8
4.7
5.0
4.9
4.8
5.1
5.0
5.5
5.5
5.7
6.1
6.1
6.5
6.7




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=34063&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=34063&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=34063&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
10.8667676.71390
20.7646715.92310
30.6760495.23671e-06
40.5556794.30433.1e-05
50.4854023.75990.000194
60.3992813.09280.001504
70.3143812.43520.008937
80.269812.08990.020435
90.2099861.62650.054537
100.1745981.35240.090656
110.1251570.96950.168103
120.0470390.36440.358433
130.004340.03360.486647
14-0.045061-0.3490.364141
15-0.100573-0.7790.21951
16-0.141422-1.09540.138849
17-0.196293-1.52050.066821
18-0.235901-1.82730.036316
19-0.266337-2.0630.021722
20-0.293112-2.27040.013393
21-0.299732-2.32170.011831
22-0.328348-2.54340.006787
23-0.358793-2.77920.003633
24-0.367254-2.84470.003036
25-0.368993-2.85820.002925
26-0.356679-2.76280.003798
27-0.348035-2.69590.004548
28-0.359547-2.7850.003576
29-0.366787-2.84110.003066
30-0.355103-2.75060.003926
31-0.3483-2.69790.004523
32-0.333576-2.58390.006111
33-0.324953-2.51710.007262
34-0.290684-2.25160.01401
35-0.257625-1.99560.025264
36-0.227637-1.76330.041473
37-0.204371-1.5830.059334
38-0.193328-1.49750.069752
39-0.174963-1.35530.090208
40-0.138263-1.0710.144233
41-0.098533-0.76320.224156
42-0.055753-0.43190.333695
43-0.022755-0.17630.430341
440.0132830.10290.459196
450.0450410.34890.364199
460.0578630.44820.327809
470.0914410.70830.240751
480.1170770.90690.184051
490.1286490.99650.161503
500.1444921.11920.133752
510.1695071.3130.097092
520.1926611.49230.070424
530.2133751.65280.051798
540.2023011.5670.061185
550.1985491.5380.064659
560.1850141.43310.078508
570.137251.06310.14599
580.1102520.8540.198249
590.0587970.45540.325219
60NANANA

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.866767 & 6.7139 & 0 \tabularnewline
2 & 0.764671 & 5.9231 & 0 \tabularnewline
3 & 0.676049 & 5.2367 & 1e-06 \tabularnewline
4 & 0.555679 & 4.3043 & 3.1e-05 \tabularnewline
5 & 0.485402 & 3.7599 & 0.000194 \tabularnewline
6 & 0.399281 & 3.0928 & 0.001504 \tabularnewline
7 & 0.314381 & 2.4352 & 0.008937 \tabularnewline
8 & 0.26981 & 2.0899 & 0.020435 \tabularnewline
9 & 0.209986 & 1.6265 & 0.054537 \tabularnewline
10 & 0.174598 & 1.3524 & 0.090656 \tabularnewline
11 & 0.125157 & 0.9695 & 0.168103 \tabularnewline
12 & 0.047039 & 0.3644 & 0.358433 \tabularnewline
13 & 0.00434 & 0.0336 & 0.486647 \tabularnewline
14 & -0.045061 & -0.349 & 0.364141 \tabularnewline
15 & -0.100573 & -0.779 & 0.21951 \tabularnewline
16 & -0.141422 & -1.0954 & 0.138849 \tabularnewline
17 & -0.196293 & -1.5205 & 0.066821 \tabularnewline
18 & -0.235901 & -1.8273 & 0.036316 \tabularnewline
19 & -0.266337 & -2.063 & 0.021722 \tabularnewline
20 & -0.293112 & -2.2704 & 0.013393 \tabularnewline
21 & -0.299732 & -2.3217 & 0.011831 \tabularnewline
22 & -0.328348 & -2.5434 & 0.006787 \tabularnewline
23 & -0.358793 & -2.7792 & 0.003633 \tabularnewline
24 & -0.367254 & -2.8447 & 0.003036 \tabularnewline
25 & -0.368993 & -2.8582 & 0.002925 \tabularnewline
26 & -0.356679 & -2.7628 & 0.003798 \tabularnewline
27 & -0.348035 & -2.6959 & 0.004548 \tabularnewline
28 & -0.359547 & -2.785 & 0.003576 \tabularnewline
29 & -0.366787 & -2.8411 & 0.003066 \tabularnewline
30 & -0.355103 & -2.7506 & 0.003926 \tabularnewline
31 & -0.3483 & -2.6979 & 0.004523 \tabularnewline
32 & -0.333576 & -2.5839 & 0.006111 \tabularnewline
33 & -0.324953 & -2.5171 & 0.007262 \tabularnewline
34 & -0.290684 & -2.2516 & 0.01401 \tabularnewline
35 & -0.257625 & -1.9956 & 0.025264 \tabularnewline
36 & -0.227637 & -1.7633 & 0.041473 \tabularnewline
37 & -0.204371 & -1.583 & 0.059334 \tabularnewline
38 & -0.193328 & -1.4975 & 0.069752 \tabularnewline
39 & -0.174963 & -1.3553 & 0.090208 \tabularnewline
40 & -0.138263 & -1.071 & 0.144233 \tabularnewline
41 & -0.098533 & -0.7632 & 0.224156 \tabularnewline
42 & -0.055753 & -0.4319 & 0.333695 \tabularnewline
43 & -0.022755 & -0.1763 & 0.430341 \tabularnewline
44 & 0.013283 & 0.1029 & 0.459196 \tabularnewline
45 & 0.045041 & 0.3489 & 0.364199 \tabularnewline
46 & 0.057863 & 0.4482 & 0.327809 \tabularnewline
47 & 0.091441 & 0.7083 & 0.240751 \tabularnewline
48 & 0.117077 & 0.9069 & 0.184051 \tabularnewline
49 & 0.128649 & 0.9965 & 0.161503 \tabularnewline
50 & 0.144492 & 1.1192 & 0.133752 \tabularnewline
51 & 0.169507 & 1.313 & 0.097092 \tabularnewline
52 & 0.192661 & 1.4923 & 0.070424 \tabularnewline
53 & 0.213375 & 1.6528 & 0.051798 \tabularnewline
54 & 0.202301 & 1.567 & 0.061185 \tabularnewline
55 & 0.198549 & 1.538 & 0.064659 \tabularnewline
56 & 0.185014 & 1.4331 & 0.078508 \tabularnewline
57 & 0.13725 & 1.0631 & 0.14599 \tabularnewline
58 & 0.110252 & 0.854 & 0.198249 \tabularnewline
59 & 0.058797 & 0.4554 & 0.325219 \tabularnewline
60 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=34063&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]0.866767[/C][C]6.7139[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.764671[/C][C]5.9231[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.676049[/C][C]5.2367[/C][C]1e-06[/C][/ROW]
[ROW][C]4[/C][C]0.555679[/C][C]4.3043[/C][C]3.1e-05[/C][/ROW]
[ROW][C]5[/C][C]0.485402[/C][C]3.7599[/C][C]0.000194[/C][/ROW]
[ROW][C]6[/C][C]0.399281[/C][C]3.0928[/C][C]0.001504[/C][/ROW]
[ROW][C]7[/C][C]0.314381[/C][C]2.4352[/C][C]0.008937[/C][/ROW]
[ROW][C]8[/C][C]0.26981[/C][C]2.0899[/C][C]0.020435[/C][/ROW]
[ROW][C]9[/C][C]0.209986[/C][C]1.6265[/C][C]0.054537[/C][/ROW]
[ROW][C]10[/C][C]0.174598[/C][C]1.3524[/C][C]0.090656[/C][/ROW]
[ROW][C]11[/C][C]0.125157[/C][C]0.9695[/C][C]0.168103[/C][/ROW]
[ROW][C]12[/C][C]0.047039[/C][C]0.3644[/C][C]0.358433[/C][/ROW]
[ROW][C]13[/C][C]0.00434[/C][C]0.0336[/C][C]0.486647[/C][/ROW]
[ROW][C]14[/C][C]-0.045061[/C][C]-0.349[/C][C]0.364141[/C][/ROW]
[ROW][C]15[/C][C]-0.100573[/C][C]-0.779[/C][C]0.21951[/C][/ROW]
[ROW][C]16[/C][C]-0.141422[/C][C]-1.0954[/C][C]0.138849[/C][/ROW]
[ROW][C]17[/C][C]-0.196293[/C][C]-1.5205[/C][C]0.066821[/C][/ROW]
[ROW][C]18[/C][C]-0.235901[/C][C]-1.8273[/C][C]0.036316[/C][/ROW]
[ROW][C]19[/C][C]-0.266337[/C][C]-2.063[/C][C]0.021722[/C][/ROW]
[ROW][C]20[/C][C]-0.293112[/C][C]-2.2704[/C][C]0.013393[/C][/ROW]
[ROW][C]21[/C][C]-0.299732[/C][C]-2.3217[/C][C]0.011831[/C][/ROW]
[ROW][C]22[/C][C]-0.328348[/C][C]-2.5434[/C][C]0.006787[/C][/ROW]
[ROW][C]23[/C][C]-0.358793[/C][C]-2.7792[/C][C]0.003633[/C][/ROW]
[ROW][C]24[/C][C]-0.367254[/C][C]-2.8447[/C][C]0.003036[/C][/ROW]
[ROW][C]25[/C][C]-0.368993[/C][C]-2.8582[/C][C]0.002925[/C][/ROW]
[ROW][C]26[/C][C]-0.356679[/C][C]-2.7628[/C][C]0.003798[/C][/ROW]
[ROW][C]27[/C][C]-0.348035[/C][C]-2.6959[/C][C]0.004548[/C][/ROW]
[ROW][C]28[/C][C]-0.359547[/C][C]-2.785[/C][C]0.003576[/C][/ROW]
[ROW][C]29[/C][C]-0.366787[/C][C]-2.8411[/C][C]0.003066[/C][/ROW]
[ROW][C]30[/C][C]-0.355103[/C][C]-2.7506[/C][C]0.003926[/C][/ROW]
[ROW][C]31[/C][C]-0.3483[/C][C]-2.6979[/C][C]0.004523[/C][/ROW]
[ROW][C]32[/C][C]-0.333576[/C][C]-2.5839[/C][C]0.006111[/C][/ROW]
[ROW][C]33[/C][C]-0.324953[/C][C]-2.5171[/C][C]0.007262[/C][/ROW]
[ROW][C]34[/C][C]-0.290684[/C][C]-2.2516[/C][C]0.01401[/C][/ROW]
[ROW][C]35[/C][C]-0.257625[/C][C]-1.9956[/C][C]0.025264[/C][/ROW]
[ROW][C]36[/C][C]-0.227637[/C][C]-1.7633[/C][C]0.041473[/C][/ROW]
[ROW][C]37[/C][C]-0.204371[/C][C]-1.583[/C][C]0.059334[/C][/ROW]
[ROW][C]38[/C][C]-0.193328[/C][C]-1.4975[/C][C]0.069752[/C][/ROW]
[ROW][C]39[/C][C]-0.174963[/C][C]-1.3553[/C][C]0.090208[/C][/ROW]
[ROW][C]40[/C][C]-0.138263[/C][C]-1.071[/C][C]0.144233[/C][/ROW]
[ROW][C]41[/C][C]-0.098533[/C][C]-0.7632[/C][C]0.224156[/C][/ROW]
[ROW][C]42[/C][C]-0.055753[/C][C]-0.4319[/C][C]0.333695[/C][/ROW]
[ROW][C]43[/C][C]-0.022755[/C][C]-0.1763[/C][C]0.430341[/C][/ROW]
[ROW][C]44[/C][C]0.013283[/C][C]0.1029[/C][C]0.459196[/C][/ROW]
[ROW][C]45[/C][C]0.045041[/C][C]0.3489[/C][C]0.364199[/C][/ROW]
[ROW][C]46[/C][C]0.057863[/C][C]0.4482[/C][C]0.327809[/C][/ROW]
[ROW][C]47[/C][C]0.091441[/C][C]0.7083[/C][C]0.240751[/C][/ROW]
[ROW][C]48[/C][C]0.117077[/C][C]0.9069[/C][C]0.184051[/C][/ROW]
[ROW][C]49[/C][C]0.128649[/C][C]0.9965[/C][C]0.161503[/C][/ROW]
[ROW][C]50[/C][C]0.144492[/C][C]1.1192[/C][C]0.133752[/C][/ROW]
[ROW][C]51[/C][C]0.169507[/C][C]1.313[/C][C]0.097092[/C][/ROW]
[ROW][C]52[/C][C]0.192661[/C][C]1.4923[/C][C]0.070424[/C][/ROW]
[ROW][C]53[/C][C]0.213375[/C][C]1.6528[/C][C]0.051798[/C][/ROW]
[ROW][C]54[/C][C]0.202301[/C][C]1.567[/C][C]0.061185[/C][/ROW]
[ROW][C]55[/C][C]0.198549[/C][C]1.538[/C][C]0.064659[/C][/ROW]
[ROW][C]56[/C][C]0.185014[/C][C]1.4331[/C][C]0.078508[/C][/ROW]
[ROW][C]57[/C][C]0.13725[/C][C]1.0631[/C][C]0.14599[/C][/ROW]
[ROW][C]58[/C][C]0.110252[/C][C]0.854[/C][C]0.198249[/C][/ROW]
[ROW][C]59[/C][C]0.058797[/C][C]0.4554[/C][C]0.325219[/C][/ROW]
[ROW][C]60[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=34063&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=34063&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
10.8667676.71390
20.7646715.92310
30.6760495.23671e-06
40.5556794.30433.1e-05
50.4854023.75990.000194
60.3992813.09280.001504
70.3143812.43520.008937
80.269812.08990.020435
90.2099861.62650.054537
100.1745981.35240.090656
110.1251570.96950.168103
120.0470390.36440.358433
130.004340.03360.486647
14-0.045061-0.3490.364141
15-0.100573-0.7790.21951
16-0.141422-1.09540.138849
17-0.196293-1.52050.066821
18-0.235901-1.82730.036316
19-0.266337-2.0630.021722
20-0.293112-2.27040.013393
21-0.299732-2.32170.011831
22-0.328348-2.54340.006787
23-0.358793-2.77920.003633
24-0.367254-2.84470.003036
25-0.368993-2.85820.002925
26-0.356679-2.76280.003798
27-0.348035-2.69590.004548
28-0.359547-2.7850.003576
29-0.366787-2.84110.003066
30-0.355103-2.75060.003926
31-0.3483-2.69790.004523
32-0.333576-2.58390.006111
33-0.324953-2.51710.007262
34-0.290684-2.25160.01401
35-0.257625-1.99560.025264
36-0.227637-1.76330.041473
37-0.204371-1.5830.059334
38-0.193328-1.49750.069752
39-0.174963-1.35530.090208
40-0.138263-1.0710.144233
41-0.098533-0.76320.224156
42-0.055753-0.43190.333695
43-0.022755-0.17630.430341
440.0132830.10290.459196
450.0450410.34890.364199
460.0578630.44820.327809
470.0914410.70830.240751
480.1170770.90690.184051
490.1286490.99650.161503
500.1444921.11920.133752
510.1695071.3130.097092
520.1926611.49230.070424
530.2133751.65280.051798
540.2023011.5670.061185
550.1985491.5380.064659
560.1850141.43310.078508
570.137251.06310.14599
580.1102520.8540.198249
590.0587970.45540.325219
60NANANA







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.8667676.71390
20.0538210.41690.339121
30.009190.07120.471742
4-0.168497-1.30520.098408
50.1076980.83420.203732
6-0.091883-0.71170.239698
7-0.033783-0.26170.39723
80.0632070.48960.313103
9-0.041295-0.31990.37509
100.041430.32090.374694
11-0.109288-0.84650.200306
12-0.124793-0.96660.168801
130.022870.17710.429994
14-0.028506-0.22080.412995
15-0.063747-0.49380.311632
16-0.05247-0.40640.342936
17-0.057626-0.44640.328468
18-0.029993-0.23230.408539
19-0.044931-0.3480.364517
20-0.00586-0.04540.481974
210.0053640.04150.483499
22-0.100299-0.77690.220131
23-0.0813-0.62970.265626
24-0.014083-0.10910.456749
250.0376040.29130.38592
260.008390.0650.4742
27-0.049255-0.38150.35208
28-0.105558-0.81760.208397
29-0.078976-0.61170.27151
300.0339320.26280.39679
31-0.049916-0.38660.350193
32-0.01229-0.09520.462236
33-0.040657-0.31490.376955
340.0755930.58550.280191
35-0.06392-0.49510.311162
36-0.028865-0.22360.411918
37-0.073111-0.56630.286647
38-0.039585-0.30660.380097
390.0001650.00130.499493
400.0327450.25360.400321
410.0242470.18780.425827
420.007320.05670.477487
43-0.028668-0.22210.41251
440.0054180.0420.483333
45-0.039552-0.30640.380193
46-0.073062-0.56590.286773
470.0644150.4990.309818
480.0033430.02590.489714
49-0.012759-0.09880.460801
50-0.034686-0.26870.39455
510.0581770.45060.326937
52-0.00173-0.01340.494678
53-0.007503-0.05810.476924
54-0.115491-0.89460.18729
55-0.002453-0.0190.492451
56-0.042366-0.32820.371966
57-0.159467-1.23520.11078
58-0.008903-0.0690.472623
59-0.08433-0.65320.258056
60NANANA

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.866767 & 6.7139 & 0 \tabularnewline
2 & 0.053821 & 0.4169 & 0.339121 \tabularnewline
3 & 0.00919 & 0.0712 & 0.471742 \tabularnewline
4 & -0.168497 & -1.3052 & 0.098408 \tabularnewline
5 & 0.107698 & 0.8342 & 0.203732 \tabularnewline
6 & -0.091883 & -0.7117 & 0.239698 \tabularnewline
7 & -0.033783 & -0.2617 & 0.39723 \tabularnewline
8 & 0.063207 & 0.4896 & 0.313103 \tabularnewline
9 & -0.041295 & -0.3199 & 0.37509 \tabularnewline
10 & 0.04143 & 0.3209 & 0.374694 \tabularnewline
11 & -0.109288 & -0.8465 & 0.200306 \tabularnewline
12 & -0.124793 & -0.9666 & 0.168801 \tabularnewline
13 & 0.02287 & 0.1771 & 0.429994 \tabularnewline
14 & -0.028506 & -0.2208 & 0.412995 \tabularnewline
15 & -0.063747 & -0.4938 & 0.311632 \tabularnewline
16 & -0.05247 & -0.4064 & 0.342936 \tabularnewline
17 & -0.057626 & -0.4464 & 0.328468 \tabularnewline
18 & -0.029993 & -0.2323 & 0.408539 \tabularnewline
19 & -0.044931 & -0.348 & 0.364517 \tabularnewline
20 & -0.00586 & -0.0454 & 0.481974 \tabularnewline
21 & 0.005364 & 0.0415 & 0.483499 \tabularnewline
22 & -0.100299 & -0.7769 & 0.220131 \tabularnewline
23 & -0.0813 & -0.6297 & 0.265626 \tabularnewline
24 & -0.014083 & -0.1091 & 0.456749 \tabularnewline
25 & 0.037604 & 0.2913 & 0.38592 \tabularnewline
26 & 0.00839 & 0.065 & 0.4742 \tabularnewline
27 & -0.049255 & -0.3815 & 0.35208 \tabularnewline
28 & -0.105558 & -0.8176 & 0.208397 \tabularnewline
29 & -0.078976 & -0.6117 & 0.27151 \tabularnewline
30 & 0.033932 & 0.2628 & 0.39679 \tabularnewline
31 & -0.049916 & -0.3866 & 0.350193 \tabularnewline
32 & -0.01229 & -0.0952 & 0.462236 \tabularnewline
33 & -0.040657 & -0.3149 & 0.376955 \tabularnewline
34 & 0.075593 & 0.5855 & 0.280191 \tabularnewline
35 & -0.06392 & -0.4951 & 0.311162 \tabularnewline
36 & -0.028865 & -0.2236 & 0.411918 \tabularnewline
37 & -0.073111 & -0.5663 & 0.286647 \tabularnewline
38 & -0.039585 & -0.3066 & 0.380097 \tabularnewline
39 & 0.000165 & 0.0013 & 0.499493 \tabularnewline
40 & 0.032745 & 0.2536 & 0.400321 \tabularnewline
41 & 0.024247 & 0.1878 & 0.425827 \tabularnewline
42 & 0.00732 & 0.0567 & 0.477487 \tabularnewline
43 & -0.028668 & -0.2221 & 0.41251 \tabularnewline
44 & 0.005418 & 0.042 & 0.483333 \tabularnewline
45 & -0.039552 & -0.3064 & 0.380193 \tabularnewline
46 & -0.073062 & -0.5659 & 0.286773 \tabularnewline
47 & 0.064415 & 0.499 & 0.309818 \tabularnewline
48 & 0.003343 & 0.0259 & 0.489714 \tabularnewline
49 & -0.012759 & -0.0988 & 0.460801 \tabularnewline
50 & -0.034686 & -0.2687 & 0.39455 \tabularnewline
51 & 0.058177 & 0.4506 & 0.326937 \tabularnewline
52 & -0.00173 & -0.0134 & 0.494678 \tabularnewline
53 & -0.007503 & -0.0581 & 0.476924 \tabularnewline
54 & -0.115491 & -0.8946 & 0.18729 \tabularnewline
55 & -0.002453 & -0.019 & 0.492451 \tabularnewline
56 & -0.042366 & -0.3282 & 0.371966 \tabularnewline
57 & -0.159467 & -1.2352 & 0.11078 \tabularnewline
58 & -0.008903 & -0.069 & 0.472623 \tabularnewline
59 & -0.08433 & -0.6532 & 0.258056 \tabularnewline
60 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=34063&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]0.866767[/C][C]6.7139[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.053821[/C][C]0.4169[/C][C]0.339121[/C][/ROW]
[ROW][C]3[/C][C]0.00919[/C][C]0.0712[/C][C]0.471742[/C][/ROW]
[ROW][C]4[/C][C]-0.168497[/C][C]-1.3052[/C][C]0.098408[/C][/ROW]
[ROW][C]5[/C][C]0.107698[/C][C]0.8342[/C][C]0.203732[/C][/ROW]
[ROW][C]6[/C][C]-0.091883[/C][C]-0.7117[/C][C]0.239698[/C][/ROW]
[ROW][C]7[/C][C]-0.033783[/C][C]-0.2617[/C][C]0.39723[/C][/ROW]
[ROW][C]8[/C][C]0.063207[/C][C]0.4896[/C][C]0.313103[/C][/ROW]
[ROW][C]9[/C][C]-0.041295[/C][C]-0.3199[/C][C]0.37509[/C][/ROW]
[ROW][C]10[/C][C]0.04143[/C][C]0.3209[/C][C]0.374694[/C][/ROW]
[ROW][C]11[/C][C]-0.109288[/C][C]-0.8465[/C][C]0.200306[/C][/ROW]
[ROW][C]12[/C][C]-0.124793[/C][C]-0.9666[/C][C]0.168801[/C][/ROW]
[ROW][C]13[/C][C]0.02287[/C][C]0.1771[/C][C]0.429994[/C][/ROW]
[ROW][C]14[/C][C]-0.028506[/C][C]-0.2208[/C][C]0.412995[/C][/ROW]
[ROW][C]15[/C][C]-0.063747[/C][C]-0.4938[/C][C]0.311632[/C][/ROW]
[ROW][C]16[/C][C]-0.05247[/C][C]-0.4064[/C][C]0.342936[/C][/ROW]
[ROW][C]17[/C][C]-0.057626[/C][C]-0.4464[/C][C]0.328468[/C][/ROW]
[ROW][C]18[/C][C]-0.029993[/C][C]-0.2323[/C][C]0.408539[/C][/ROW]
[ROW][C]19[/C][C]-0.044931[/C][C]-0.348[/C][C]0.364517[/C][/ROW]
[ROW][C]20[/C][C]-0.00586[/C][C]-0.0454[/C][C]0.481974[/C][/ROW]
[ROW][C]21[/C][C]0.005364[/C][C]0.0415[/C][C]0.483499[/C][/ROW]
[ROW][C]22[/C][C]-0.100299[/C][C]-0.7769[/C][C]0.220131[/C][/ROW]
[ROW][C]23[/C][C]-0.0813[/C][C]-0.6297[/C][C]0.265626[/C][/ROW]
[ROW][C]24[/C][C]-0.014083[/C][C]-0.1091[/C][C]0.456749[/C][/ROW]
[ROW][C]25[/C][C]0.037604[/C][C]0.2913[/C][C]0.38592[/C][/ROW]
[ROW][C]26[/C][C]0.00839[/C][C]0.065[/C][C]0.4742[/C][/ROW]
[ROW][C]27[/C][C]-0.049255[/C][C]-0.3815[/C][C]0.35208[/C][/ROW]
[ROW][C]28[/C][C]-0.105558[/C][C]-0.8176[/C][C]0.208397[/C][/ROW]
[ROW][C]29[/C][C]-0.078976[/C][C]-0.6117[/C][C]0.27151[/C][/ROW]
[ROW][C]30[/C][C]0.033932[/C][C]0.2628[/C][C]0.39679[/C][/ROW]
[ROW][C]31[/C][C]-0.049916[/C][C]-0.3866[/C][C]0.350193[/C][/ROW]
[ROW][C]32[/C][C]-0.01229[/C][C]-0.0952[/C][C]0.462236[/C][/ROW]
[ROW][C]33[/C][C]-0.040657[/C][C]-0.3149[/C][C]0.376955[/C][/ROW]
[ROW][C]34[/C][C]0.075593[/C][C]0.5855[/C][C]0.280191[/C][/ROW]
[ROW][C]35[/C][C]-0.06392[/C][C]-0.4951[/C][C]0.311162[/C][/ROW]
[ROW][C]36[/C][C]-0.028865[/C][C]-0.2236[/C][C]0.411918[/C][/ROW]
[ROW][C]37[/C][C]-0.073111[/C][C]-0.5663[/C][C]0.286647[/C][/ROW]
[ROW][C]38[/C][C]-0.039585[/C][C]-0.3066[/C][C]0.380097[/C][/ROW]
[ROW][C]39[/C][C]0.000165[/C][C]0.0013[/C][C]0.499493[/C][/ROW]
[ROW][C]40[/C][C]0.032745[/C][C]0.2536[/C][C]0.400321[/C][/ROW]
[ROW][C]41[/C][C]0.024247[/C][C]0.1878[/C][C]0.425827[/C][/ROW]
[ROW][C]42[/C][C]0.00732[/C][C]0.0567[/C][C]0.477487[/C][/ROW]
[ROW][C]43[/C][C]-0.028668[/C][C]-0.2221[/C][C]0.41251[/C][/ROW]
[ROW][C]44[/C][C]0.005418[/C][C]0.042[/C][C]0.483333[/C][/ROW]
[ROW][C]45[/C][C]-0.039552[/C][C]-0.3064[/C][C]0.380193[/C][/ROW]
[ROW][C]46[/C][C]-0.073062[/C][C]-0.5659[/C][C]0.286773[/C][/ROW]
[ROW][C]47[/C][C]0.064415[/C][C]0.499[/C][C]0.309818[/C][/ROW]
[ROW][C]48[/C][C]0.003343[/C][C]0.0259[/C][C]0.489714[/C][/ROW]
[ROW][C]49[/C][C]-0.012759[/C][C]-0.0988[/C][C]0.460801[/C][/ROW]
[ROW][C]50[/C][C]-0.034686[/C][C]-0.2687[/C][C]0.39455[/C][/ROW]
[ROW][C]51[/C][C]0.058177[/C][C]0.4506[/C][C]0.326937[/C][/ROW]
[ROW][C]52[/C][C]-0.00173[/C][C]-0.0134[/C][C]0.494678[/C][/ROW]
[ROW][C]53[/C][C]-0.007503[/C][C]-0.0581[/C][C]0.476924[/C][/ROW]
[ROW][C]54[/C][C]-0.115491[/C][C]-0.8946[/C][C]0.18729[/C][/ROW]
[ROW][C]55[/C][C]-0.002453[/C][C]-0.019[/C][C]0.492451[/C][/ROW]
[ROW][C]56[/C][C]-0.042366[/C][C]-0.3282[/C][C]0.371966[/C][/ROW]
[ROW][C]57[/C][C]-0.159467[/C][C]-1.2352[/C][C]0.11078[/C][/ROW]
[ROW][C]58[/C][C]-0.008903[/C][C]-0.069[/C][C]0.472623[/C][/ROW]
[ROW][C]59[/C][C]-0.08433[/C][C]-0.6532[/C][C]0.258056[/C][/ROW]
[ROW][C]60[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=34063&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=34063&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
10.8667676.71390
20.0538210.41690.339121
30.009190.07120.471742
4-0.168497-1.30520.098408
50.1076980.83420.203732
6-0.091883-0.71170.239698
7-0.033783-0.26170.39723
80.0632070.48960.313103
9-0.041295-0.31990.37509
100.041430.32090.374694
11-0.109288-0.84650.200306
12-0.124793-0.96660.168801
130.022870.17710.429994
14-0.028506-0.22080.412995
15-0.063747-0.49380.311632
16-0.05247-0.40640.342936
17-0.057626-0.44640.328468
18-0.029993-0.23230.408539
19-0.044931-0.3480.364517
20-0.00586-0.04540.481974
210.0053640.04150.483499
22-0.100299-0.77690.220131
23-0.0813-0.62970.265626
24-0.014083-0.10910.456749
250.0376040.29130.38592
260.008390.0650.4742
27-0.049255-0.38150.35208
28-0.105558-0.81760.208397
29-0.078976-0.61170.27151
300.0339320.26280.39679
31-0.049916-0.38660.350193
32-0.01229-0.09520.462236
33-0.040657-0.31490.376955
340.0755930.58550.280191
35-0.06392-0.49510.311162
36-0.028865-0.22360.411918
37-0.073111-0.56630.286647
38-0.039585-0.30660.380097
390.0001650.00130.499493
400.0327450.25360.400321
410.0242470.18780.425827
420.007320.05670.477487
43-0.028668-0.22210.41251
440.0054180.0420.483333
45-0.039552-0.30640.380193
46-0.073062-0.56590.286773
470.0644150.4990.309818
480.0033430.02590.489714
49-0.012759-0.09880.460801
50-0.034686-0.26870.39455
510.0581770.45060.326937
52-0.00173-0.01340.494678
53-0.007503-0.05810.476924
54-0.115491-0.89460.18729
55-0.002453-0.0190.492451
56-0.042366-0.32820.371966
57-0.159467-1.23520.11078
58-0.008903-0.0690.472623
59-0.08433-0.65320.258056
60NANANA



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