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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, 10 Dec 2008 05:54:48 -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/10/t12289137306h2r49iogcwloml.htm/, Retrieved Fri, 17 May 2024 03:04:55 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=31932, Retrieved Fri, 17 May 2024 03:04:55 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact160
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [Autocorr werkloos...] [2008-12-10 12:54:48] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataseries X:
6.4
6.8
7.5
7.5
7.6
7.6
7.4
7.3
7.1
6.9
6.8
7.5
7.6
7.8
8
8.1
8.2
8.3
8.2
8
7.9
7.6
7.6
8.2
8.3
8.4
8.4
8.4
8.6
8.9
8.8
8.3
7.5
7.2
7.5
8.8
9.3
9.3
8.7
8.2
8.3
8.5
8.6
8.6
8.2
8.1
8
8.6
8.7
8.8
8.5
8.4
8.5
8.7
8.7
8.6
8.5
8.3
8.1
8.2
8.1
8.1
7.9
7.9
7.9
8
8
7.9
8
7.7
7.2
7.5
7.3
7
7
7
7.2
7.3
7.1
6.8
6.6
6.2
6.2
6.8
6.9




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=31932&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=31932&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=31932&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
10.8644697.970
20.6699796.17690
30.5128664.72844e-06
40.4387254.04485.7e-05
50.451364.16133.8e-05
60.4763334.39161.6e-05
70.4510584.15863.8e-05
80.4014813.70150.00019
90.3646023.36150.000582
100.3512633.23850.000857
110.3512133.2380.000859
120.3423373.15620.001106
130.2418782.230.014191
140.122531.12970.130897
150.0194070.17890.429211
16-0.020265-0.18680.426118
17-0.011518-0.10620.45784
180.0035930.03310.486827
19-0.012626-0.11640.453803
20-0.047547-0.43840.331119
21-0.073268-0.67550.250597
22-0.087758-0.80910.21036
23-0.098823-0.91110.18241
24-0.101407-0.93490.176238
25-0.159133-1.46710.073015
26-0.223613-2.06160.02115
27-0.278964-2.57190.005926
28-0.297745-2.74510.00369
29-0.283772-2.61620.00526
30-0.252219-2.32530.011218
31-0.22703-2.09310.01966
32-0.225223-2.07640.020436
33-0.250353-2.30810.01171
34-0.29086-2.68160.004401
35-0.323334-2.9810.001873
36-0.302378-2.78780.003273
37-0.289542-2.66940.00455
38-0.268312-2.47370.007681
39-0.272163-2.50920.006999
40-0.280376-2.58490.005723
41-0.290692-2.680.004419
42-0.302908-2.79270.003228
43-0.32621-3.00750.001732
44-0.344055-3.1720.001053
45-0.344336-3.17460.001045
46-0.327584-3.02020.001668
47-0.288846-2.6630.004631
48-0.220623-2.0340.022533
49-0.186493-1.71940.044592
50-0.174593-1.60970.055589
51-0.200703-1.85040.033866
52-0.230196-2.12230.018361
53-0.242109-2.23210.014118
54-0.223414-2.05980.02124
55-0.19798-1.82530.035735
56-0.166427-1.53440.064325
57-0.127978-1.17990.120666
58-0.096094-0.88590.189074
59-0.060884-0.56130.288027
60-0.016201-0.14940.440811

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.864469 & 7.97 & 0 \tabularnewline
2 & 0.669979 & 6.1769 & 0 \tabularnewline
3 & 0.512866 & 4.7284 & 4e-06 \tabularnewline
4 & 0.438725 & 4.0448 & 5.7e-05 \tabularnewline
5 & 0.45136 & 4.1613 & 3.8e-05 \tabularnewline
6 & 0.476333 & 4.3916 & 1.6e-05 \tabularnewline
7 & 0.451058 & 4.1586 & 3.8e-05 \tabularnewline
8 & 0.401481 & 3.7015 & 0.00019 \tabularnewline
9 & 0.364602 & 3.3615 & 0.000582 \tabularnewline
10 & 0.351263 & 3.2385 & 0.000857 \tabularnewline
11 & 0.351213 & 3.238 & 0.000859 \tabularnewline
12 & 0.342337 & 3.1562 & 0.001106 \tabularnewline
13 & 0.241878 & 2.23 & 0.014191 \tabularnewline
14 & 0.12253 & 1.1297 & 0.130897 \tabularnewline
15 & 0.019407 & 0.1789 & 0.429211 \tabularnewline
16 & -0.020265 & -0.1868 & 0.426118 \tabularnewline
17 & -0.011518 & -0.1062 & 0.45784 \tabularnewline
18 & 0.003593 & 0.0331 & 0.486827 \tabularnewline
19 & -0.012626 & -0.1164 & 0.453803 \tabularnewline
20 & -0.047547 & -0.4384 & 0.331119 \tabularnewline
21 & -0.073268 & -0.6755 & 0.250597 \tabularnewline
22 & -0.087758 & -0.8091 & 0.21036 \tabularnewline
23 & -0.098823 & -0.9111 & 0.18241 \tabularnewline
24 & -0.101407 & -0.9349 & 0.176238 \tabularnewline
25 & -0.159133 & -1.4671 & 0.073015 \tabularnewline
26 & -0.223613 & -2.0616 & 0.02115 \tabularnewline
27 & -0.278964 & -2.5719 & 0.005926 \tabularnewline
28 & -0.297745 & -2.7451 & 0.00369 \tabularnewline
29 & -0.283772 & -2.6162 & 0.00526 \tabularnewline
30 & -0.252219 & -2.3253 & 0.011218 \tabularnewline
31 & -0.22703 & -2.0931 & 0.01966 \tabularnewline
32 & -0.225223 & -2.0764 & 0.020436 \tabularnewline
33 & -0.250353 & -2.3081 & 0.01171 \tabularnewline
34 & -0.29086 & -2.6816 & 0.004401 \tabularnewline
35 & -0.323334 & -2.981 & 0.001873 \tabularnewline
36 & -0.302378 & -2.7878 & 0.003273 \tabularnewline
37 & -0.289542 & -2.6694 & 0.00455 \tabularnewline
38 & -0.268312 & -2.4737 & 0.007681 \tabularnewline
39 & -0.272163 & -2.5092 & 0.006999 \tabularnewline
40 & -0.280376 & -2.5849 & 0.005723 \tabularnewline
41 & -0.290692 & -2.68 & 0.004419 \tabularnewline
42 & -0.302908 & -2.7927 & 0.003228 \tabularnewline
43 & -0.32621 & -3.0075 & 0.001732 \tabularnewline
44 & -0.344055 & -3.172 & 0.001053 \tabularnewline
45 & -0.344336 & -3.1746 & 0.001045 \tabularnewline
46 & -0.327584 & -3.0202 & 0.001668 \tabularnewline
47 & -0.288846 & -2.663 & 0.004631 \tabularnewline
48 & -0.220623 & -2.034 & 0.022533 \tabularnewline
49 & -0.186493 & -1.7194 & 0.044592 \tabularnewline
50 & -0.174593 & -1.6097 & 0.055589 \tabularnewline
51 & -0.200703 & -1.8504 & 0.033866 \tabularnewline
52 & -0.230196 & -2.1223 & 0.018361 \tabularnewline
53 & -0.242109 & -2.2321 & 0.014118 \tabularnewline
54 & -0.223414 & -2.0598 & 0.02124 \tabularnewline
55 & -0.19798 & -1.8253 & 0.035735 \tabularnewline
56 & -0.166427 & -1.5344 & 0.064325 \tabularnewline
57 & -0.127978 & -1.1799 & 0.120666 \tabularnewline
58 & -0.096094 & -0.8859 & 0.189074 \tabularnewline
59 & -0.060884 & -0.5613 & 0.288027 \tabularnewline
60 & -0.016201 & -0.1494 & 0.440811 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=31932&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]0.864469[/C][C]7.97[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.669979[/C][C]6.1769[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.512866[/C][C]4.7284[/C][C]4e-06[/C][/ROW]
[ROW][C]4[/C][C]0.438725[/C][C]4.0448[/C][C]5.7e-05[/C][/ROW]
[ROW][C]5[/C][C]0.45136[/C][C]4.1613[/C][C]3.8e-05[/C][/ROW]
[ROW][C]6[/C][C]0.476333[/C][C]4.3916[/C][C]1.6e-05[/C][/ROW]
[ROW][C]7[/C][C]0.451058[/C][C]4.1586[/C][C]3.8e-05[/C][/ROW]
[ROW][C]8[/C][C]0.401481[/C][C]3.7015[/C][C]0.00019[/C][/ROW]
[ROW][C]9[/C][C]0.364602[/C][C]3.3615[/C][C]0.000582[/C][/ROW]
[ROW][C]10[/C][C]0.351263[/C][C]3.2385[/C][C]0.000857[/C][/ROW]
[ROW][C]11[/C][C]0.351213[/C][C]3.238[/C][C]0.000859[/C][/ROW]
[ROW][C]12[/C][C]0.342337[/C][C]3.1562[/C][C]0.001106[/C][/ROW]
[ROW][C]13[/C][C]0.241878[/C][C]2.23[/C][C]0.014191[/C][/ROW]
[ROW][C]14[/C][C]0.12253[/C][C]1.1297[/C][C]0.130897[/C][/ROW]
[ROW][C]15[/C][C]0.019407[/C][C]0.1789[/C][C]0.429211[/C][/ROW]
[ROW][C]16[/C][C]-0.020265[/C][C]-0.1868[/C][C]0.426118[/C][/ROW]
[ROW][C]17[/C][C]-0.011518[/C][C]-0.1062[/C][C]0.45784[/C][/ROW]
[ROW][C]18[/C][C]0.003593[/C][C]0.0331[/C][C]0.486827[/C][/ROW]
[ROW][C]19[/C][C]-0.012626[/C][C]-0.1164[/C][C]0.453803[/C][/ROW]
[ROW][C]20[/C][C]-0.047547[/C][C]-0.4384[/C][C]0.331119[/C][/ROW]
[ROW][C]21[/C][C]-0.073268[/C][C]-0.6755[/C][C]0.250597[/C][/ROW]
[ROW][C]22[/C][C]-0.087758[/C][C]-0.8091[/C][C]0.21036[/C][/ROW]
[ROW][C]23[/C][C]-0.098823[/C][C]-0.9111[/C][C]0.18241[/C][/ROW]
[ROW][C]24[/C][C]-0.101407[/C][C]-0.9349[/C][C]0.176238[/C][/ROW]
[ROW][C]25[/C][C]-0.159133[/C][C]-1.4671[/C][C]0.073015[/C][/ROW]
[ROW][C]26[/C][C]-0.223613[/C][C]-2.0616[/C][C]0.02115[/C][/ROW]
[ROW][C]27[/C][C]-0.278964[/C][C]-2.5719[/C][C]0.005926[/C][/ROW]
[ROW][C]28[/C][C]-0.297745[/C][C]-2.7451[/C][C]0.00369[/C][/ROW]
[ROW][C]29[/C][C]-0.283772[/C][C]-2.6162[/C][C]0.00526[/C][/ROW]
[ROW][C]30[/C][C]-0.252219[/C][C]-2.3253[/C][C]0.011218[/C][/ROW]
[ROW][C]31[/C][C]-0.22703[/C][C]-2.0931[/C][C]0.01966[/C][/ROW]
[ROW][C]32[/C][C]-0.225223[/C][C]-2.0764[/C][C]0.020436[/C][/ROW]
[ROW][C]33[/C][C]-0.250353[/C][C]-2.3081[/C][C]0.01171[/C][/ROW]
[ROW][C]34[/C][C]-0.29086[/C][C]-2.6816[/C][C]0.004401[/C][/ROW]
[ROW][C]35[/C][C]-0.323334[/C][C]-2.981[/C][C]0.001873[/C][/ROW]
[ROW][C]36[/C][C]-0.302378[/C][C]-2.7878[/C][C]0.003273[/C][/ROW]
[ROW][C]37[/C][C]-0.289542[/C][C]-2.6694[/C][C]0.00455[/C][/ROW]
[ROW][C]38[/C][C]-0.268312[/C][C]-2.4737[/C][C]0.007681[/C][/ROW]
[ROW][C]39[/C][C]-0.272163[/C][C]-2.5092[/C][C]0.006999[/C][/ROW]
[ROW][C]40[/C][C]-0.280376[/C][C]-2.5849[/C][C]0.005723[/C][/ROW]
[ROW][C]41[/C][C]-0.290692[/C][C]-2.68[/C][C]0.004419[/C][/ROW]
[ROW][C]42[/C][C]-0.302908[/C][C]-2.7927[/C][C]0.003228[/C][/ROW]
[ROW][C]43[/C][C]-0.32621[/C][C]-3.0075[/C][C]0.001732[/C][/ROW]
[ROW][C]44[/C][C]-0.344055[/C][C]-3.172[/C][C]0.001053[/C][/ROW]
[ROW][C]45[/C][C]-0.344336[/C][C]-3.1746[/C][C]0.001045[/C][/ROW]
[ROW][C]46[/C][C]-0.327584[/C][C]-3.0202[/C][C]0.001668[/C][/ROW]
[ROW][C]47[/C][C]-0.288846[/C][C]-2.663[/C][C]0.004631[/C][/ROW]
[ROW][C]48[/C][C]-0.220623[/C][C]-2.034[/C][C]0.022533[/C][/ROW]
[ROW][C]49[/C][C]-0.186493[/C][C]-1.7194[/C][C]0.044592[/C][/ROW]
[ROW][C]50[/C][C]-0.174593[/C][C]-1.6097[/C][C]0.055589[/C][/ROW]
[ROW][C]51[/C][C]-0.200703[/C][C]-1.8504[/C][C]0.033866[/C][/ROW]
[ROW][C]52[/C][C]-0.230196[/C][C]-2.1223[/C][C]0.018361[/C][/ROW]
[ROW][C]53[/C][C]-0.242109[/C][C]-2.2321[/C][C]0.014118[/C][/ROW]
[ROW][C]54[/C][C]-0.223414[/C][C]-2.0598[/C][C]0.02124[/C][/ROW]
[ROW][C]55[/C][C]-0.19798[/C][C]-1.8253[/C][C]0.035735[/C][/ROW]
[ROW][C]56[/C][C]-0.166427[/C][C]-1.5344[/C][C]0.064325[/C][/ROW]
[ROW][C]57[/C][C]-0.127978[/C][C]-1.1799[/C][C]0.120666[/C][/ROW]
[ROW][C]58[/C][C]-0.096094[/C][C]-0.8859[/C][C]0.189074[/C][/ROW]
[ROW][C]59[/C][C]-0.060884[/C][C]-0.5613[/C][C]0.288027[/C][/ROW]
[ROW][C]60[/C][C]-0.016201[/C][C]-0.1494[/C][C]0.440811[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=31932&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=31932&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
10.8644697.970
20.6699796.17690
30.5128664.72844e-06
40.4387254.04485.7e-05
50.451364.16133.8e-05
60.4763334.39161.6e-05
70.4510584.15863.8e-05
80.4014813.70150.00019
90.3646023.36150.000582
100.3512633.23850.000857
110.3512133.2380.000859
120.3423373.15620.001106
130.2418782.230.014191
140.122531.12970.130897
150.0194070.17890.429211
16-0.020265-0.18680.426118
17-0.011518-0.10620.45784
180.0035930.03310.486827
19-0.012626-0.11640.453803
20-0.047547-0.43840.331119
21-0.073268-0.67550.250597
22-0.087758-0.80910.21036
23-0.098823-0.91110.18241
24-0.101407-0.93490.176238
25-0.159133-1.46710.073015
26-0.223613-2.06160.02115
27-0.278964-2.57190.005926
28-0.297745-2.74510.00369
29-0.283772-2.61620.00526
30-0.252219-2.32530.011218
31-0.22703-2.09310.01966
32-0.225223-2.07640.020436
33-0.250353-2.30810.01171
34-0.29086-2.68160.004401
35-0.323334-2.9810.001873
36-0.302378-2.78780.003273
37-0.289542-2.66940.00455
38-0.268312-2.47370.007681
39-0.272163-2.50920.006999
40-0.280376-2.58490.005723
41-0.290692-2.680.004419
42-0.302908-2.79270.003228
43-0.32621-3.00750.001732
44-0.344055-3.1720.001053
45-0.344336-3.17460.001045
46-0.327584-3.02020.001668
47-0.288846-2.6630.004631
48-0.220623-2.0340.022533
49-0.186493-1.71940.044592
50-0.174593-1.60970.055589
51-0.200703-1.85040.033866
52-0.230196-2.12230.018361
53-0.242109-2.23210.014118
54-0.223414-2.05980.02124
55-0.19798-1.82530.035735
56-0.166427-1.53440.064325
57-0.127978-1.17990.120666
58-0.096094-0.88590.189074
59-0.060884-0.56130.288027
60-0.016201-0.14940.440811







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.8644697.970
2-0.30601-2.82130.002977
30.0916570.8450.200232
40.1780181.64120.052221
50.2101681.93770.027993
6-0.011933-0.110.456327
7-0.098337-0.90660.183585
80.0808650.74550.229001
90.1021940.94220.174386
100.0159820.14730.441604
11-0.027411-0.25270.400547
12-0.004619-0.04260.483066
13-0.340063-3.13520.001179
140.0207090.19090.42452
15-0.100506-0.92660.178374
160.0619850.57150.284595
17-0.097412-0.89810.185836
18-0.019688-0.18150.428198
19-0.013811-0.12730.449488
200.0350160.32280.373807
210.036810.33940.367582
22-0.043102-0.39740.34604
23-0.015968-0.14720.441656
240.048390.44610.328317
25-0.151952-1.40090.082438
260.0010030.00920.496323
27-0.059867-0.55190.291216
28-0.024366-0.22460.411396
29-0.044996-0.41480.33965
300.0163740.1510.440183
310.0616170.56810.285739
32-0.057641-0.53140.298256
33-0.109803-1.01230.157126
34-0.05954-0.54890.292244
350.0285980.26370.39634
360.1253541.15570.12552
37-0.103635-0.95550.171026
380.0536680.49480.31101
39-0.077964-0.71880.237119
400.0195130.17990.42883
41-0.117502-1.08330.140867
42-0.115094-1.06110.145821
43-0.138429-1.27630.102671
44-0.006195-0.05710.477292
450.018870.1740.43115
460.0357270.32940.371336
470.0867890.80020.212925
480.0325520.30010.382411
49-0.047138-0.43460.332481
50-0.023279-0.21460.415287
51-0.014399-0.13280.447352
52-0.047977-0.44230.32969
53-0.046796-0.43140.333622
54-0.004554-0.0420.483303
55-0.013775-0.1270.449621
560.03170.29230.385399
570.0158820.14640.441966
58-0.048505-0.44720.327935
590.0288290.26580.395523
60-0.043945-0.40510.343193

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.864469 & 7.97 & 0 \tabularnewline
2 & -0.30601 & -2.8213 & 0.002977 \tabularnewline
3 & 0.091657 & 0.845 & 0.200232 \tabularnewline
4 & 0.178018 & 1.6412 & 0.052221 \tabularnewline
5 & 0.210168 & 1.9377 & 0.027993 \tabularnewline
6 & -0.011933 & -0.11 & 0.456327 \tabularnewline
7 & -0.098337 & -0.9066 & 0.183585 \tabularnewline
8 & 0.080865 & 0.7455 & 0.229001 \tabularnewline
9 & 0.102194 & 0.9422 & 0.174386 \tabularnewline
10 & 0.015982 & 0.1473 & 0.441604 \tabularnewline
11 & -0.027411 & -0.2527 & 0.400547 \tabularnewline
12 & -0.004619 & -0.0426 & 0.483066 \tabularnewline
13 & -0.340063 & -3.1352 & 0.001179 \tabularnewline
14 & 0.020709 & 0.1909 & 0.42452 \tabularnewline
15 & -0.100506 & -0.9266 & 0.178374 \tabularnewline
16 & 0.061985 & 0.5715 & 0.284595 \tabularnewline
17 & -0.097412 & -0.8981 & 0.185836 \tabularnewline
18 & -0.019688 & -0.1815 & 0.428198 \tabularnewline
19 & -0.013811 & -0.1273 & 0.449488 \tabularnewline
20 & 0.035016 & 0.3228 & 0.373807 \tabularnewline
21 & 0.03681 & 0.3394 & 0.367582 \tabularnewline
22 & -0.043102 & -0.3974 & 0.34604 \tabularnewline
23 & -0.015968 & -0.1472 & 0.441656 \tabularnewline
24 & 0.04839 & 0.4461 & 0.328317 \tabularnewline
25 & -0.151952 & -1.4009 & 0.082438 \tabularnewline
26 & 0.001003 & 0.0092 & 0.496323 \tabularnewline
27 & -0.059867 & -0.5519 & 0.291216 \tabularnewline
28 & -0.024366 & -0.2246 & 0.411396 \tabularnewline
29 & -0.044996 & -0.4148 & 0.33965 \tabularnewline
30 & 0.016374 & 0.151 & 0.440183 \tabularnewline
31 & 0.061617 & 0.5681 & 0.285739 \tabularnewline
32 & -0.057641 & -0.5314 & 0.298256 \tabularnewline
33 & -0.109803 & -1.0123 & 0.157126 \tabularnewline
34 & -0.05954 & -0.5489 & 0.292244 \tabularnewline
35 & 0.028598 & 0.2637 & 0.39634 \tabularnewline
36 & 0.125354 & 1.1557 & 0.12552 \tabularnewline
37 & -0.103635 & -0.9555 & 0.171026 \tabularnewline
38 & 0.053668 & 0.4948 & 0.31101 \tabularnewline
39 & -0.077964 & -0.7188 & 0.237119 \tabularnewline
40 & 0.019513 & 0.1799 & 0.42883 \tabularnewline
41 & -0.117502 & -1.0833 & 0.140867 \tabularnewline
42 & -0.115094 & -1.0611 & 0.145821 \tabularnewline
43 & -0.138429 & -1.2763 & 0.102671 \tabularnewline
44 & -0.006195 & -0.0571 & 0.477292 \tabularnewline
45 & 0.01887 & 0.174 & 0.43115 \tabularnewline
46 & 0.035727 & 0.3294 & 0.371336 \tabularnewline
47 & 0.086789 & 0.8002 & 0.212925 \tabularnewline
48 & 0.032552 & 0.3001 & 0.382411 \tabularnewline
49 & -0.047138 & -0.4346 & 0.332481 \tabularnewline
50 & -0.023279 & -0.2146 & 0.415287 \tabularnewline
51 & -0.014399 & -0.1328 & 0.447352 \tabularnewline
52 & -0.047977 & -0.4423 & 0.32969 \tabularnewline
53 & -0.046796 & -0.4314 & 0.333622 \tabularnewline
54 & -0.004554 & -0.042 & 0.483303 \tabularnewline
55 & -0.013775 & -0.127 & 0.449621 \tabularnewline
56 & 0.0317 & 0.2923 & 0.385399 \tabularnewline
57 & 0.015882 & 0.1464 & 0.441966 \tabularnewline
58 & -0.048505 & -0.4472 & 0.327935 \tabularnewline
59 & 0.028829 & 0.2658 & 0.395523 \tabularnewline
60 & -0.043945 & -0.4051 & 0.343193 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=31932&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]0.864469[/C][C]7.97[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]-0.30601[/C][C]-2.8213[/C][C]0.002977[/C][/ROW]
[ROW][C]3[/C][C]0.091657[/C][C]0.845[/C][C]0.200232[/C][/ROW]
[ROW][C]4[/C][C]0.178018[/C][C]1.6412[/C][C]0.052221[/C][/ROW]
[ROW][C]5[/C][C]0.210168[/C][C]1.9377[/C][C]0.027993[/C][/ROW]
[ROW][C]6[/C][C]-0.011933[/C][C]-0.11[/C][C]0.456327[/C][/ROW]
[ROW][C]7[/C][C]-0.098337[/C][C]-0.9066[/C][C]0.183585[/C][/ROW]
[ROW][C]8[/C][C]0.080865[/C][C]0.7455[/C][C]0.229001[/C][/ROW]
[ROW][C]9[/C][C]0.102194[/C][C]0.9422[/C][C]0.174386[/C][/ROW]
[ROW][C]10[/C][C]0.015982[/C][C]0.1473[/C][C]0.441604[/C][/ROW]
[ROW][C]11[/C][C]-0.027411[/C][C]-0.2527[/C][C]0.400547[/C][/ROW]
[ROW][C]12[/C][C]-0.004619[/C][C]-0.0426[/C][C]0.483066[/C][/ROW]
[ROW][C]13[/C][C]-0.340063[/C][C]-3.1352[/C][C]0.001179[/C][/ROW]
[ROW][C]14[/C][C]0.020709[/C][C]0.1909[/C][C]0.42452[/C][/ROW]
[ROW][C]15[/C][C]-0.100506[/C][C]-0.9266[/C][C]0.178374[/C][/ROW]
[ROW][C]16[/C][C]0.061985[/C][C]0.5715[/C][C]0.284595[/C][/ROW]
[ROW][C]17[/C][C]-0.097412[/C][C]-0.8981[/C][C]0.185836[/C][/ROW]
[ROW][C]18[/C][C]-0.019688[/C][C]-0.1815[/C][C]0.428198[/C][/ROW]
[ROW][C]19[/C][C]-0.013811[/C][C]-0.1273[/C][C]0.449488[/C][/ROW]
[ROW][C]20[/C][C]0.035016[/C][C]0.3228[/C][C]0.373807[/C][/ROW]
[ROW][C]21[/C][C]0.03681[/C][C]0.3394[/C][C]0.367582[/C][/ROW]
[ROW][C]22[/C][C]-0.043102[/C][C]-0.3974[/C][C]0.34604[/C][/ROW]
[ROW][C]23[/C][C]-0.015968[/C][C]-0.1472[/C][C]0.441656[/C][/ROW]
[ROW][C]24[/C][C]0.04839[/C][C]0.4461[/C][C]0.328317[/C][/ROW]
[ROW][C]25[/C][C]-0.151952[/C][C]-1.4009[/C][C]0.082438[/C][/ROW]
[ROW][C]26[/C][C]0.001003[/C][C]0.0092[/C][C]0.496323[/C][/ROW]
[ROW][C]27[/C][C]-0.059867[/C][C]-0.5519[/C][C]0.291216[/C][/ROW]
[ROW][C]28[/C][C]-0.024366[/C][C]-0.2246[/C][C]0.411396[/C][/ROW]
[ROW][C]29[/C][C]-0.044996[/C][C]-0.4148[/C][C]0.33965[/C][/ROW]
[ROW][C]30[/C][C]0.016374[/C][C]0.151[/C][C]0.440183[/C][/ROW]
[ROW][C]31[/C][C]0.061617[/C][C]0.5681[/C][C]0.285739[/C][/ROW]
[ROW][C]32[/C][C]-0.057641[/C][C]-0.5314[/C][C]0.298256[/C][/ROW]
[ROW][C]33[/C][C]-0.109803[/C][C]-1.0123[/C][C]0.157126[/C][/ROW]
[ROW][C]34[/C][C]-0.05954[/C][C]-0.5489[/C][C]0.292244[/C][/ROW]
[ROW][C]35[/C][C]0.028598[/C][C]0.2637[/C][C]0.39634[/C][/ROW]
[ROW][C]36[/C][C]0.125354[/C][C]1.1557[/C][C]0.12552[/C][/ROW]
[ROW][C]37[/C][C]-0.103635[/C][C]-0.9555[/C][C]0.171026[/C][/ROW]
[ROW][C]38[/C][C]0.053668[/C][C]0.4948[/C][C]0.31101[/C][/ROW]
[ROW][C]39[/C][C]-0.077964[/C][C]-0.7188[/C][C]0.237119[/C][/ROW]
[ROW][C]40[/C][C]0.019513[/C][C]0.1799[/C][C]0.42883[/C][/ROW]
[ROW][C]41[/C][C]-0.117502[/C][C]-1.0833[/C][C]0.140867[/C][/ROW]
[ROW][C]42[/C][C]-0.115094[/C][C]-1.0611[/C][C]0.145821[/C][/ROW]
[ROW][C]43[/C][C]-0.138429[/C][C]-1.2763[/C][C]0.102671[/C][/ROW]
[ROW][C]44[/C][C]-0.006195[/C][C]-0.0571[/C][C]0.477292[/C][/ROW]
[ROW][C]45[/C][C]0.01887[/C][C]0.174[/C][C]0.43115[/C][/ROW]
[ROW][C]46[/C][C]0.035727[/C][C]0.3294[/C][C]0.371336[/C][/ROW]
[ROW][C]47[/C][C]0.086789[/C][C]0.8002[/C][C]0.212925[/C][/ROW]
[ROW][C]48[/C][C]0.032552[/C][C]0.3001[/C][C]0.382411[/C][/ROW]
[ROW][C]49[/C][C]-0.047138[/C][C]-0.4346[/C][C]0.332481[/C][/ROW]
[ROW][C]50[/C][C]-0.023279[/C][C]-0.2146[/C][C]0.415287[/C][/ROW]
[ROW][C]51[/C][C]-0.014399[/C][C]-0.1328[/C][C]0.447352[/C][/ROW]
[ROW][C]52[/C][C]-0.047977[/C][C]-0.4423[/C][C]0.32969[/C][/ROW]
[ROW][C]53[/C][C]-0.046796[/C][C]-0.4314[/C][C]0.333622[/C][/ROW]
[ROW][C]54[/C][C]-0.004554[/C][C]-0.042[/C][C]0.483303[/C][/ROW]
[ROW][C]55[/C][C]-0.013775[/C][C]-0.127[/C][C]0.449621[/C][/ROW]
[ROW][C]56[/C][C]0.0317[/C][C]0.2923[/C][C]0.385399[/C][/ROW]
[ROW][C]57[/C][C]0.015882[/C][C]0.1464[/C][C]0.441966[/C][/ROW]
[ROW][C]58[/C][C]-0.048505[/C][C]-0.4472[/C][C]0.327935[/C][/ROW]
[ROW][C]59[/C][C]0.028829[/C][C]0.2658[/C][C]0.395523[/C][/ROW]
[ROW][C]60[/C][C]-0.043945[/C][C]-0.4051[/C][C]0.343193[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=31932&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=31932&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
10.8644697.970
2-0.30601-2.82130.002977
30.0916570.8450.200232
40.1780181.64120.052221
50.2101681.93770.027993
6-0.011933-0.110.456327
7-0.098337-0.90660.183585
80.0808650.74550.229001
90.1021940.94220.174386
100.0159820.14730.441604
11-0.027411-0.25270.400547
12-0.004619-0.04260.483066
13-0.340063-3.13520.001179
140.0207090.19090.42452
15-0.100506-0.92660.178374
160.0619850.57150.284595
17-0.097412-0.89810.185836
18-0.019688-0.18150.428198
19-0.013811-0.12730.449488
200.0350160.32280.373807
210.036810.33940.367582
22-0.043102-0.39740.34604
23-0.015968-0.14720.441656
240.048390.44610.328317
25-0.151952-1.40090.082438
260.0010030.00920.496323
27-0.059867-0.55190.291216
28-0.024366-0.22460.411396
29-0.044996-0.41480.33965
300.0163740.1510.440183
310.0616170.56810.285739
32-0.057641-0.53140.298256
33-0.109803-1.01230.157126
34-0.05954-0.54890.292244
350.0285980.26370.39634
360.1253541.15570.12552
37-0.103635-0.95550.171026
380.0536680.49480.31101
39-0.077964-0.71880.237119
400.0195130.17990.42883
41-0.117502-1.08330.140867
42-0.115094-1.06110.145821
43-0.138429-1.27630.102671
44-0.006195-0.05710.477292
450.018870.1740.43115
460.0357270.32940.371336
470.0867890.80020.212925
480.0325520.30010.382411
49-0.047138-0.43460.332481
50-0.023279-0.21460.415287
51-0.014399-0.13280.447352
52-0.047977-0.44230.32969
53-0.046796-0.43140.333622
54-0.004554-0.0420.483303
55-0.013775-0.1270.449621
560.03170.29230.385399
570.0158820.14640.441966
58-0.048505-0.44720.327935
590.0288290.26580.395523
60-0.043945-0.40510.343193



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')