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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 computationSun, 21 Dec 2008 07:41:39 -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/21/t12298705993fh5fwz7wi49hyf.htm/, Retrieved Sun, 19 May 2024 09:40:40 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=35609, Retrieved Sun, 19 May 2024 09:40:40 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact131
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [paper-ACF ] [2008-12-21 14:41:39] [a16dfd7e948381d8b6391003c5d09447] [Current]
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Dataseries X:
7.5
7.2
6.9
6.7
6.4
6.3
6.8
7.3
7.1
7.1
6.8
6.5
6.3
6.1
6.1
6.3
6.3
6
6.2
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
6.8
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=35609&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=35609&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35609&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
10.9274189.54840
20.8059198.29740
30.7000097.2070
40.6432556.62270
50.6284556.47030
60.6224456.40850
70.5939916.11550
80.5544085.7080
90.5310965.4680
100.53055.46180
110.5439945.60080
120.535945.51780
130.4628774.76563e-06
140.3706583.81620.000114
150.2831092.91480.002172
160.2177812.24220.013515
170.1692871.74290.042124
180.1333981.37340.086261
190.0910050.93690.175457
200.0519240.53460.297026
210.033110.34090.366933
220.0326430.33610.368738
230.0391160.40270.343981
240.0282540.29090.385849
25-0.025896-0.26660.395141
26-0.085315-0.87840.190864
27-0.140358-1.44510.075694
28-0.180201-1.85530.033167
29-0.210332-2.16550.016296
30-0.234303-2.41230.008785
31-0.254802-2.62330.004995
32-0.266539-2.74420.003563
33-0.263355-2.71140.003909
34-0.256392-2.63970.004775
35-0.253597-2.61090.005169
36-0.261197-2.68920.004161
37-0.289085-2.97630.001807
38-0.303939-3.12920.001132
39-0.312783-3.22030.00085
40-0.320563-3.30040.000658
41-0.347478-3.57750.000262
42-0.38831-3.99795.9e-05
43-0.431158-4.4391.1e-05
44-0.449894-4.63195e-06
45-0.429291-4.41981.2e-05
46-0.387082-3.98536.2e-05
47-0.342954-3.53090.000307
48-0.325132-3.34740.000565
49-0.343605-3.53763e-04
50-0.366447-3.77280.000133
51-0.378797-3.98.5e-05
52-0.379817-3.91058.1e-05
53-0.387563-3.99026.1e-05
54-0.397444-4.09194.2e-05
55-0.40772-4.19772.8e-05
56-0.404121-4.16073.2e-05
57-0.381538-3.92827.6e-05
58-0.352736-3.63160.000218
59-0.318396-3.27810.000707
60-0.28808-2.9660.001864

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.927418 & 9.5484 & 0 \tabularnewline
2 & 0.805919 & 8.2974 & 0 \tabularnewline
3 & 0.700009 & 7.207 & 0 \tabularnewline
4 & 0.643255 & 6.6227 & 0 \tabularnewline
5 & 0.628455 & 6.4703 & 0 \tabularnewline
6 & 0.622445 & 6.4085 & 0 \tabularnewline
7 & 0.593991 & 6.1155 & 0 \tabularnewline
8 & 0.554408 & 5.708 & 0 \tabularnewline
9 & 0.531096 & 5.468 & 0 \tabularnewline
10 & 0.5305 & 5.4618 & 0 \tabularnewline
11 & 0.543994 & 5.6008 & 0 \tabularnewline
12 & 0.53594 & 5.5178 & 0 \tabularnewline
13 & 0.462877 & 4.7656 & 3e-06 \tabularnewline
14 & 0.370658 & 3.8162 & 0.000114 \tabularnewline
15 & 0.283109 & 2.9148 & 0.002172 \tabularnewline
16 & 0.217781 & 2.2422 & 0.013515 \tabularnewline
17 & 0.169287 & 1.7429 & 0.042124 \tabularnewline
18 & 0.133398 & 1.3734 & 0.086261 \tabularnewline
19 & 0.091005 & 0.9369 & 0.175457 \tabularnewline
20 & 0.051924 & 0.5346 & 0.297026 \tabularnewline
21 & 0.03311 & 0.3409 & 0.366933 \tabularnewline
22 & 0.032643 & 0.3361 & 0.368738 \tabularnewline
23 & 0.039116 & 0.4027 & 0.343981 \tabularnewline
24 & 0.028254 & 0.2909 & 0.385849 \tabularnewline
25 & -0.025896 & -0.2666 & 0.395141 \tabularnewline
26 & -0.085315 & -0.8784 & 0.190864 \tabularnewline
27 & -0.140358 & -1.4451 & 0.075694 \tabularnewline
28 & -0.180201 & -1.8553 & 0.033167 \tabularnewline
29 & -0.210332 & -2.1655 & 0.016296 \tabularnewline
30 & -0.234303 & -2.4123 & 0.008785 \tabularnewline
31 & -0.254802 & -2.6233 & 0.004995 \tabularnewline
32 & -0.266539 & -2.7442 & 0.003563 \tabularnewline
33 & -0.263355 & -2.7114 & 0.003909 \tabularnewline
34 & -0.256392 & -2.6397 & 0.004775 \tabularnewline
35 & -0.253597 & -2.6109 & 0.005169 \tabularnewline
36 & -0.261197 & -2.6892 & 0.004161 \tabularnewline
37 & -0.289085 & -2.9763 & 0.001807 \tabularnewline
38 & -0.303939 & -3.1292 & 0.001132 \tabularnewline
39 & -0.312783 & -3.2203 & 0.00085 \tabularnewline
40 & -0.320563 & -3.3004 & 0.000658 \tabularnewline
41 & -0.347478 & -3.5775 & 0.000262 \tabularnewline
42 & -0.38831 & -3.9979 & 5.9e-05 \tabularnewline
43 & -0.431158 & -4.439 & 1.1e-05 \tabularnewline
44 & -0.449894 & -4.6319 & 5e-06 \tabularnewline
45 & -0.429291 & -4.4198 & 1.2e-05 \tabularnewline
46 & -0.387082 & -3.9853 & 6.2e-05 \tabularnewline
47 & -0.342954 & -3.5309 & 0.000307 \tabularnewline
48 & -0.325132 & -3.3474 & 0.000565 \tabularnewline
49 & -0.343605 & -3.5376 & 3e-04 \tabularnewline
50 & -0.366447 & -3.7728 & 0.000133 \tabularnewline
51 & -0.378797 & -3.9 & 8.5e-05 \tabularnewline
52 & -0.379817 & -3.9105 & 8.1e-05 \tabularnewline
53 & -0.387563 & -3.9902 & 6.1e-05 \tabularnewline
54 & -0.397444 & -4.0919 & 4.2e-05 \tabularnewline
55 & -0.40772 & -4.1977 & 2.8e-05 \tabularnewline
56 & -0.404121 & -4.1607 & 3.2e-05 \tabularnewline
57 & -0.381538 & -3.9282 & 7.6e-05 \tabularnewline
58 & -0.352736 & -3.6316 & 0.000218 \tabularnewline
59 & -0.318396 & -3.2781 & 0.000707 \tabularnewline
60 & -0.28808 & -2.966 & 0.001864 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=35609&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]0.927418[/C][C]9.5484[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.805919[/C][C]8.2974[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.700009[/C][C]7.207[/C][C]0[/C][/ROW]
[ROW][C]4[/C][C]0.643255[/C][C]6.6227[/C][C]0[/C][/ROW]
[ROW][C]5[/C][C]0.628455[/C][C]6.4703[/C][C]0[/C][/ROW]
[ROW][C]6[/C][C]0.622445[/C][C]6.4085[/C][C]0[/C][/ROW]
[ROW][C]7[/C][C]0.593991[/C][C]6.1155[/C][C]0[/C][/ROW]
[ROW][C]8[/C][C]0.554408[/C][C]5.708[/C][C]0[/C][/ROW]
[ROW][C]9[/C][C]0.531096[/C][C]5.468[/C][C]0[/C][/ROW]
[ROW][C]10[/C][C]0.5305[/C][C]5.4618[/C][C]0[/C][/ROW]
[ROW][C]11[/C][C]0.543994[/C][C]5.6008[/C][C]0[/C][/ROW]
[ROW][C]12[/C][C]0.53594[/C][C]5.5178[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]0.462877[/C][C]4.7656[/C][C]3e-06[/C][/ROW]
[ROW][C]14[/C][C]0.370658[/C][C]3.8162[/C][C]0.000114[/C][/ROW]
[ROW][C]15[/C][C]0.283109[/C][C]2.9148[/C][C]0.002172[/C][/ROW]
[ROW][C]16[/C][C]0.217781[/C][C]2.2422[/C][C]0.013515[/C][/ROW]
[ROW][C]17[/C][C]0.169287[/C][C]1.7429[/C][C]0.042124[/C][/ROW]
[ROW][C]18[/C][C]0.133398[/C][C]1.3734[/C][C]0.086261[/C][/ROW]
[ROW][C]19[/C][C]0.091005[/C][C]0.9369[/C][C]0.175457[/C][/ROW]
[ROW][C]20[/C][C]0.051924[/C][C]0.5346[/C][C]0.297026[/C][/ROW]
[ROW][C]21[/C][C]0.03311[/C][C]0.3409[/C][C]0.366933[/C][/ROW]
[ROW][C]22[/C][C]0.032643[/C][C]0.3361[/C][C]0.368738[/C][/ROW]
[ROW][C]23[/C][C]0.039116[/C][C]0.4027[/C][C]0.343981[/C][/ROW]
[ROW][C]24[/C][C]0.028254[/C][C]0.2909[/C][C]0.385849[/C][/ROW]
[ROW][C]25[/C][C]-0.025896[/C][C]-0.2666[/C][C]0.395141[/C][/ROW]
[ROW][C]26[/C][C]-0.085315[/C][C]-0.8784[/C][C]0.190864[/C][/ROW]
[ROW][C]27[/C][C]-0.140358[/C][C]-1.4451[/C][C]0.075694[/C][/ROW]
[ROW][C]28[/C][C]-0.180201[/C][C]-1.8553[/C][C]0.033167[/C][/ROW]
[ROW][C]29[/C][C]-0.210332[/C][C]-2.1655[/C][C]0.016296[/C][/ROW]
[ROW][C]30[/C][C]-0.234303[/C][C]-2.4123[/C][C]0.008785[/C][/ROW]
[ROW][C]31[/C][C]-0.254802[/C][C]-2.6233[/C][C]0.004995[/C][/ROW]
[ROW][C]32[/C][C]-0.266539[/C][C]-2.7442[/C][C]0.003563[/C][/ROW]
[ROW][C]33[/C][C]-0.263355[/C][C]-2.7114[/C][C]0.003909[/C][/ROW]
[ROW][C]34[/C][C]-0.256392[/C][C]-2.6397[/C][C]0.004775[/C][/ROW]
[ROW][C]35[/C][C]-0.253597[/C][C]-2.6109[/C][C]0.005169[/C][/ROW]
[ROW][C]36[/C][C]-0.261197[/C][C]-2.6892[/C][C]0.004161[/C][/ROW]
[ROW][C]37[/C][C]-0.289085[/C][C]-2.9763[/C][C]0.001807[/C][/ROW]
[ROW][C]38[/C][C]-0.303939[/C][C]-3.1292[/C][C]0.001132[/C][/ROW]
[ROW][C]39[/C][C]-0.312783[/C][C]-3.2203[/C][C]0.00085[/C][/ROW]
[ROW][C]40[/C][C]-0.320563[/C][C]-3.3004[/C][C]0.000658[/C][/ROW]
[ROW][C]41[/C][C]-0.347478[/C][C]-3.5775[/C][C]0.000262[/C][/ROW]
[ROW][C]42[/C][C]-0.38831[/C][C]-3.9979[/C][C]5.9e-05[/C][/ROW]
[ROW][C]43[/C][C]-0.431158[/C][C]-4.439[/C][C]1.1e-05[/C][/ROW]
[ROW][C]44[/C][C]-0.449894[/C][C]-4.6319[/C][C]5e-06[/C][/ROW]
[ROW][C]45[/C][C]-0.429291[/C][C]-4.4198[/C][C]1.2e-05[/C][/ROW]
[ROW][C]46[/C][C]-0.387082[/C][C]-3.9853[/C][C]6.2e-05[/C][/ROW]
[ROW][C]47[/C][C]-0.342954[/C][C]-3.5309[/C][C]0.000307[/C][/ROW]
[ROW][C]48[/C][C]-0.325132[/C][C]-3.3474[/C][C]0.000565[/C][/ROW]
[ROW][C]49[/C][C]-0.343605[/C][C]-3.5376[/C][C]3e-04[/C][/ROW]
[ROW][C]50[/C][C]-0.366447[/C][C]-3.7728[/C][C]0.000133[/C][/ROW]
[ROW][C]51[/C][C]-0.378797[/C][C]-3.9[/C][C]8.5e-05[/C][/ROW]
[ROW][C]52[/C][C]-0.379817[/C][C]-3.9105[/C][C]8.1e-05[/C][/ROW]
[ROW][C]53[/C][C]-0.387563[/C][C]-3.9902[/C][C]6.1e-05[/C][/ROW]
[ROW][C]54[/C][C]-0.397444[/C][C]-4.0919[/C][C]4.2e-05[/C][/ROW]
[ROW][C]55[/C][C]-0.40772[/C][C]-4.1977[/C][C]2.8e-05[/C][/ROW]
[ROW][C]56[/C][C]-0.404121[/C][C]-4.1607[/C][C]3.2e-05[/C][/ROW]
[ROW][C]57[/C][C]-0.381538[/C][C]-3.9282[/C][C]7.6e-05[/C][/ROW]
[ROW][C]58[/C][C]-0.352736[/C][C]-3.6316[/C][C]0.000218[/C][/ROW]
[ROW][C]59[/C][C]-0.318396[/C][C]-3.2781[/C][C]0.000707[/C][/ROW]
[ROW][C]60[/C][C]-0.28808[/C][C]-2.966[/C][C]0.001864[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=35609&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35609&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
10.9274189.54840
20.8059198.29740
30.7000097.2070
40.6432556.62270
50.6284556.47030
60.6224456.40850
70.5939916.11550
80.5544085.7080
90.5310965.4680
100.53055.46180
110.5439945.60080
120.535945.51780
130.4628774.76563e-06
140.3706583.81620.000114
150.2831092.91480.002172
160.2177812.24220.013515
170.1692871.74290.042124
180.1333981.37340.086261
190.0910050.93690.175457
200.0519240.53460.297026
210.033110.34090.366933
220.0326430.33610.368738
230.0391160.40270.343981
240.0282540.29090.385849
25-0.025896-0.26660.395141
26-0.085315-0.87840.190864
27-0.140358-1.44510.075694
28-0.180201-1.85530.033167
29-0.210332-2.16550.016296
30-0.234303-2.41230.008785
31-0.254802-2.62330.004995
32-0.266539-2.74420.003563
33-0.263355-2.71140.003909
34-0.256392-2.63970.004775
35-0.253597-2.61090.005169
36-0.261197-2.68920.004161
37-0.289085-2.97630.001807
38-0.303939-3.12920.001132
39-0.312783-3.22030.00085
40-0.320563-3.30040.000658
41-0.347478-3.57750.000262
42-0.38831-3.99795.9e-05
43-0.431158-4.4391.1e-05
44-0.449894-4.63195e-06
45-0.429291-4.41981.2e-05
46-0.387082-3.98536.2e-05
47-0.342954-3.53090.000307
48-0.325132-3.34740.000565
49-0.343605-3.53763e-04
50-0.366447-3.77280.000133
51-0.378797-3.98.5e-05
52-0.379817-3.91058.1e-05
53-0.387563-3.99026.1e-05
54-0.397444-4.09194.2e-05
55-0.40772-4.19772.8e-05
56-0.404121-4.16073.2e-05
57-0.381538-3.92827.6e-05
58-0.352736-3.63160.000218
59-0.318396-3.27810.000707
60-0.28808-2.9660.001864







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.9274189.54840
2-0.387331-3.98786.1e-05
30.1875531.9310.028078
40.2130462.19340.01523
50.0981291.01030.157325
6-0.024789-0.25520.399526
7-0.08559-0.88120.190101
80.1054221.08540.140108
90.1475961.51960.065795
100.032230.33180.370339
110.0363750.37450.354388
12-0.143104-1.47330.071811
13-0.357446-3.68010.000184
140.1626181.67430.048515
15-0.176873-1.8210.035713
16-0.118636-1.22140.112316
17-0.124486-1.28170.101379
180.0427090.43970.330518
19-0.054972-0.5660.286304
200.0126580.13030.448277
210.0667550.68730.246702
220.0404240.41620.339057
23-0.006124-0.06310.474921
24-0.002838-0.02920.488371
25-0.098121-1.01020.157347
260.1217931.25390.106311
27-0.107154-1.10320.136214
28-0.011377-0.11710.453489
29-0.03212-0.33070.370762
30-0.058687-0.60420.273493
310.1112271.14520.127363
32-0.070582-0.72670.23451
33-0.01967-0.20250.41995
34-0.067592-0.69590.244007
35-0.034484-0.3550.361635
360.0537770.55370.290487
37-0.075545-0.77780.219215
380.1191991.22720.111228
39-0.0561-0.57760.282385
40-0.063461-0.65340.257466
41-0.136939-1.40990.080753
42-0.121769-1.25370.106357
43-0.03766-0.38770.349494
44-0.003789-0.0390.484479
450.0662350.68190.248386
460.0642230.66120.254954
470.0275060.28320.38879
48-0.033094-0.34070.366994
49-0.085338-0.87860.190801
50-0.03993-0.41110.340913
510.0450450.46380.321883
52-0.101037-1.04020.150298
530.0131450.13530.4463
540.0314070.32340.373531
550.032910.33880.367704
56-0.029775-0.30650.379894
57-0.101987-1.050.148049
58-0.059119-0.60870.272025
590.0625110.64360.260614
600.0464720.47850.316654

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.927418 & 9.5484 & 0 \tabularnewline
2 & -0.387331 & -3.9878 & 6.1e-05 \tabularnewline
3 & 0.187553 & 1.931 & 0.028078 \tabularnewline
4 & 0.213046 & 2.1934 & 0.01523 \tabularnewline
5 & 0.098129 & 1.0103 & 0.157325 \tabularnewline
6 & -0.024789 & -0.2552 & 0.399526 \tabularnewline
7 & -0.08559 & -0.8812 & 0.190101 \tabularnewline
8 & 0.105422 & 1.0854 & 0.140108 \tabularnewline
9 & 0.147596 & 1.5196 & 0.065795 \tabularnewline
10 & 0.03223 & 0.3318 & 0.370339 \tabularnewline
11 & 0.036375 & 0.3745 & 0.354388 \tabularnewline
12 & -0.143104 & -1.4733 & 0.071811 \tabularnewline
13 & -0.357446 & -3.6801 & 0.000184 \tabularnewline
14 & 0.162618 & 1.6743 & 0.048515 \tabularnewline
15 & -0.176873 & -1.821 & 0.035713 \tabularnewline
16 & -0.118636 & -1.2214 & 0.112316 \tabularnewline
17 & -0.124486 & -1.2817 & 0.101379 \tabularnewline
18 & 0.042709 & 0.4397 & 0.330518 \tabularnewline
19 & -0.054972 & -0.566 & 0.286304 \tabularnewline
20 & 0.012658 & 0.1303 & 0.448277 \tabularnewline
21 & 0.066755 & 0.6873 & 0.246702 \tabularnewline
22 & 0.040424 & 0.4162 & 0.339057 \tabularnewline
23 & -0.006124 & -0.0631 & 0.474921 \tabularnewline
24 & -0.002838 & -0.0292 & 0.488371 \tabularnewline
25 & -0.098121 & -1.0102 & 0.157347 \tabularnewline
26 & 0.121793 & 1.2539 & 0.106311 \tabularnewline
27 & -0.107154 & -1.1032 & 0.136214 \tabularnewline
28 & -0.011377 & -0.1171 & 0.453489 \tabularnewline
29 & -0.03212 & -0.3307 & 0.370762 \tabularnewline
30 & -0.058687 & -0.6042 & 0.273493 \tabularnewline
31 & 0.111227 & 1.1452 & 0.127363 \tabularnewline
32 & -0.070582 & -0.7267 & 0.23451 \tabularnewline
33 & -0.01967 & -0.2025 & 0.41995 \tabularnewline
34 & -0.067592 & -0.6959 & 0.244007 \tabularnewline
35 & -0.034484 & -0.355 & 0.361635 \tabularnewline
36 & 0.053777 & 0.5537 & 0.290487 \tabularnewline
37 & -0.075545 & -0.7778 & 0.219215 \tabularnewline
38 & 0.119199 & 1.2272 & 0.111228 \tabularnewline
39 & -0.0561 & -0.5776 & 0.282385 \tabularnewline
40 & -0.063461 & -0.6534 & 0.257466 \tabularnewline
41 & -0.136939 & -1.4099 & 0.080753 \tabularnewline
42 & -0.121769 & -1.2537 & 0.106357 \tabularnewline
43 & -0.03766 & -0.3877 & 0.349494 \tabularnewline
44 & -0.003789 & -0.039 & 0.484479 \tabularnewline
45 & 0.066235 & 0.6819 & 0.248386 \tabularnewline
46 & 0.064223 & 0.6612 & 0.254954 \tabularnewline
47 & 0.027506 & 0.2832 & 0.38879 \tabularnewline
48 & -0.033094 & -0.3407 & 0.366994 \tabularnewline
49 & -0.085338 & -0.8786 & 0.190801 \tabularnewline
50 & -0.03993 & -0.4111 & 0.340913 \tabularnewline
51 & 0.045045 & 0.4638 & 0.321883 \tabularnewline
52 & -0.101037 & -1.0402 & 0.150298 \tabularnewline
53 & 0.013145 & 0.1353 & 0.4463 \tabularnewline
54 & 0.031407 & 0.3234 & 0.373531 \tabularnewline
55 & 0.03291 & 0.3388 & 0.367704 \tabularnewline
56 & -0.029775 & -0.3065 & 0.379894 \tabularnewline
57 & -0.101987 & -1.05 & 0.148049 \tabularnewline
58 & -0.059119 & -0.6087 & 0.272025 \tabularnewline
59 & 0.062511 & 0.6436 & 0.260614 \tabularnewline
60 & 0.046472 & 0.4785 & 0.316654 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=35609&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]0.927418[/C][C]9.5484[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]-0.387331[/C][C]-3.9878[/C][C]6.1e-05[/C][/ROW]
[ROW][C]3[/C][C]0.187553[/C][C]1.931[/C][C]0.028078[/C][/ROW]
[ROW][C]4[/C][C]0.213046[/C][C]2.1934[/C][C]0.01523[/C][/ROW]
[ROW][C]5[/C][C]0.098129[/C][C]1.0103[/C][C]0.157325[/C][/ROW]
[ROW][C]6[/C][C]-0.024789[/C][C]-0.2552[/C][C]0.399526[/C][/ROW]
[ROW][C]7[/C][C]-0.08559[/C][C]-0.8812[/C][C]0.190101[/C][/ROW]
[ROW][C]8[/C][C]0.105422[/C][C]1.0854[/C][C]0.140108[/C][/ROW]
[ROW][C]9[/C][C]0.147596[/C][C]1.5196[/C][C]0.065795[/C][/ROW]
[ROW][C]10[/C][C]0.03223[/C][C]0.3318[/C][C]0.370339[/C][/ROW]
[ROW][C]11[/C][C]0.036375[/C][C]0.3745[/C][C]0.354388[/C][/ROW]
[ROW][C]12[/C][C]-0.143104[/C][C]-1.4733[/C][C]0.071811[/C][/ROW]
[ROW][C]13[/C][C]-0.357446[/C][C]-3.6801[/C][C]0.000184[/C][/ROW]
[ROW][C]14[/C][C]0.162618[/C][C]1.6743[/C][C]0.048515[/C][/ROW]
[ROW][C]15[/C][C]-0.176873[/C][C]-1.821[/C][C]0.035713[/C][/ROW]
[ROW][C]16[/C][C]-0.118636[/C][C]-1.2214[/C][C]0.112316[/C][/ROW]
[ROW][C]17[/C][C]-0.124486[/C][C]-1.2817[/C][C]0.101379[/C][/ROW]
[ROW][C]18[/C][C]0.042709[/C][C]0.4397[/C][C]0.330518[/C][/ROW]
[ROW][C]19[/C][C]-0.054972[/C][C]-0.566[/C][C]0.286304[/C][/ROW]
[ROW][C]20[/C][C]0.012658[/C][C]0.1303[/C][C]0.448277[/C][/ROW]
[ROW][C]21[/C][C]0.066755[/C][C]0.6873[/C][C]0.246702[/C][/ROW]
[ROW][C]22[/C][C]0.040424[/C][C]0.4162[/C][C]0.339057[/C][/ROW]
[ROW][C]23[/C][C]-0.006124[/C][C]-0.0631[/C][C]0.474921[/C][/ROW]
[ROW][C]24[/C][C]-0.002838[/C][C]-0.0292[/C][C]0.488371[/C][/ROW]
[ROW][C]25[/C][C]-0.098121[/C][C]-1.0102[/C][C]0.157347[/C][/ROW]
[ROW][C]26[/C][C]0.121793[/C][C]1.2539[/C][C]0.106311[/C][/ROW]
[ROW][C]27[/C][C]-0.107154[/C][C]-1.1032[/C][C]0.136214[/C][/ROW]
[ROW][C]28[/C][C]-0.011377[/C][C]-0.1171[/C][C]0.453489[/C][/ROW]
[ROW][C]29[/C][C]-0.03212[/C][C]-0.3307[/C][C]0.370762[/C][/ROW]
[ROW][C]30[/C][C]-0.058687[/C][C]-0.6042[/C][C]0.273493[/C][/ROW]
[ROW][C]31[/C][C]0.111227[/C][C]1.1452[/C][C]0.127363[/C][/ROW]
[ROW][C]32[/C][C]-0.070582[/C][C]-0.7267[/C][C]0.23451[/C][/ROW]
[ROW][C]33[/C][C]-0.01967[/C][C]-0.2025[/C][C]0.41995[/C][/ROW]
[ROW][C]34[/C][C]-0.067592[/C][C]-0.6959[/C][C]0.244007[/C][/ROW]
[ROW][C]35[/C][C]-0.034484[/C][C]-0.355[/C][C]0.361635[/C][/ROW]
[ROW][C]36[/C][C]0.053777[/C][C]0.5537[/C][C]0.290487[/C][/ROW]
[ROW][C]37[/C][C]-0.075545[/C][C]-0.7778[/C][C]0.219215[/C][/ROW]
[ROW][C]38[/C][C]0.119199[/C][C]1.2272[/C][C]0.111228[/C][/ROW]
[ROW][C]39[/C][C]-0.0561[/C][C]-0.5776[/C][C]0.282385[/C][/ROW]
[ROW][C]40[/C][C]-0.063461[/C][C]-0.6534[/C][C]0.257466[/C][/ROW]
[ROW][C]41[/C][C]-0.136939[/C][C]-1.4099[/C][C]0.080753[/C][/ROW]
[ROW][C]42[/C][C]-0.121769[/C][C]-1.2537[/C][C]0.106357[/C][/ROW]
[ROW][C]43[/C][C]-0.03766[/C][C]-0.3877[/C][C]0.349494[/C][/ROW]
[ROW][C]44[/C][C]-0.003789[/C][C]-0.039[/C][C]0.484479[/C][/ROW]
[ROW][C]45[/C][C]0.066235[/C][C]0.6819[/C][C]0.248386[/C][/ROW]
[ROW][C]46[/C][C]0.064223[/C][C]0.6612[/C][C]0.254954[/C][/ROW]
[ROW][C]47[/C][C]0.027506[/C][C]0.2832[/C][C]0.38879[/C][/ROW]
[ROW][C]48[/C][C]-0.033094[/C][C]-0.3407[/C][C]0.366994[/C][/ROW]
[ROW][C]49[/C][C]-0.085338[/C][C]-0.8786[/C][C]0.190801[/C][/ROW]
[ROW][C]50[/C][C]-0.03993[/C][C]-0.4111[/C][C]0.340913[/C][/ROW]
[ROW][C]51[/C][C]0.045045[/C][C]0.4638[/C][C]0.321883[/C][/ROW]
[ROW][C]52[/C][C]-0.101037[/C][C]-1.0402[/C][C]0.150298[/C][/ROW]
[ROW][C]53[/C][C]0.013145[/C][C]0.1353[/C][C]0.4463[/C][/ROW]
[ROW][C]54[/C][C]0.031407[/C][C]0.3234[/C][C]0.373531[/C][/ROW]
[ROW][C]55[/C][C]0.03291[/C][C]0.3388[/C][C]0.367704[/C][/ROW]
[ROW][C]56[/C][C]-0.029775[/C][C]-0.3065[/C][C]0.379894[/C][/ROW]
[ROW][C]57[/C][C]-0.101987[/C][C]-1.05[/C][C]0.148049[/C][/ROW]
[ROW][C]58[/C][C]-0.059119[/C][C]-0.6087[/C][C]0.272025[/C][/ROW]
[ROW][C]59[/C][C]0.062511[/C][C]0.6436[/C][C]0.260614[/C][/ROW]
[ROW][C]60[/C][C]0.046472[/C][C]0.4785[/C][C]0.316654[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=35609&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35609&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
10.9274189.54840
2-0.387331-3.98786.1e-05
30.1875531.9310.028078
40.2130462.19340.01523
50.0981291.01030.157325
6-0.024789-0.25520.399526
7-0.08559-0.88120.190101
80.1054221.08540.140108
90.1475961.51960.065795
100.032230.33180.370339
110.0363750.37450.354388
12-0.143104-1.47330.071811
13-0.357446-3.68010.000184
140.1626181.67430.048515
15-0.176873-1.8210.035713
16-0.118636-1.22140.112316
17-0.124486-1.28170.101379
180.0427090.43970.330518
19-0.054972-0.5660.286304
200.0126580.13030.448277
210.0667550.68730.246702
220.0404240.41620.339057
23-0.006124-0.06310.474921
24-0.002838-0.02920.488371
25-0.098121-1.01020.157347
260.1217931.25390.106311
27-0.107154-1.10320.136214
28-0.011377-0.11710.453489
29-0.03212-0.33070.370762
30-0.058687-0.60420.273493
310.1112271.14520.127363
32-0.070582-0.72670.23451
33-0.01967-0.20250.41995
34-0.067592-0.69590.244007
35-0.034484-0.3550.361635
360.0537770.55370.290487
37-0.075545-0.77780.219215
380.1191991.22720.111228
39-0.0561-0.57760.282385
40-0.063461-0.65340.257466
41-0.136939-1.40990.080753
42-0.121769-1.25370.106357
43-0.03766-0.38770.349494
44-0.003789-0.0390.484479
450.0662350.68190.248386
460.0642230.66120.254954
470.0275060.28320.38879
48-0.033094-0.34070.366994
49-0.085338-0.87860.190801
50-0.03993-0.41110.340913
510.0450450.46380.321883
52-0.101037-1.04020.150298
530.0131450.13530.4463
540.0314070.32340.373531
550.032910.33880.367704
56-0.029775-0.30650.379894
57-0.101987-1.050.148049
58-0.059119-0.60870.272025
590.0625110.64360.260614
600.0464720.47850.316654



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')