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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, 28 Nov 2007 03:34:46 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2007/Nov/28/t1196245482ul1k2h5yg3mi4da.htm/, Retrieved Thu, 02 May 2024 00:36:44 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=6994, Retrieved Thu, 02 May 2024 00:36:44 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact217
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [Methode 2 op tijd...] [2007-11-28 10:34:46] [0c269222ff5238ed17e011dfedaec76b] [Current]
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Dataseries X:
721.8
836.7
817.8
804.3
773.3
789.6
882.5
868.9
885.7
880.6
846.2
875.4
799.6
946.3
987.3
892.4
885.1
937.1
935.9
944.2
930.9
874.0
891.9
902.2
767.0
912.5
918.6
713.4
849.9
875.9
1010.9
1049.2
900.5
1111.6
898.2
1034.3
996.7
1188.9
1092.5
952.0
959.1
846.1
903.0
1089.5
879.9
1057.0
932.6
745.5
817.2
808.3
832.9
801.2
773.1
710.8
820.4
814.9
833.5
864.3
844.9
733.6




Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\begin{tabular}{lllllllll}
\hline
Summary of compuational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=6994&T=0

[TABLE]
[ROW][C]Summary of compuational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]2 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=6994&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=6994&T=0

As an alternative you can also use a QR Code:  

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

Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Autocorrelation Function
Time lag kACF(k)T-STATP-value
0160
10.6111093.66670.000394
20.5957013.57420.000511
30.4321462.59290.006836
40.2195791.31750.098002
50.1707391.02440.156232
60.0968270.5810.282443
7-0.017014-0.10210.540371
8-0.150728-0.90440.814094
9-0.348096-2.08860.978061
10-0.446677-2.68010.994484
11-0.494912-2.96950.997359
12-0.551612-3.30970.998935
13-0.316117-1.89670.967043
14-0.367566-2.20540.983051
15-0.196971-1.18180.877489
16-0.204593-1.22760.88621
17-0.160643-0.96390.829227
18-0.090652-0.54390.705073
19-0.047438-0.28460.611219
200.0957340.57440.284633
210.1259170.75550.227431
220.1259430.75570.227385
230.1829571.09770.139802
240.1015480.60930.273081
250.0481690.2890.387115
260.1011180.60670.273926
270.0029860.01790.492903
280.03610.21660.414871
290.03250.1950.423245
30-0.014621-0.08770.534709
31-0.001841-0.0110.504376
32-0.028616-0.17170.567681
33-0.025549-0.15330.56049
34-0.010328-0.0620.524534
35-0.005098-0.03060.512116
36NANANA
37NANANA
38NANANA
39NANANA
40NANANA
41NANANA
42NANANA
43NANANA
44NANANA
45NANANA
46NANANA
47NANANA
48NANANA
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 6 & 0 \tabularnewline
1 & 0.611109 & 3.6667 & 0.000394 \tabularnewline
2 & 0.595701 & 3.5742 & 0.000511 \tabularnewline
3 & 0.432146 & 2.5929 & 0.006836 \tabularnewline
4 & 0.219579 & 1.3175 & 0.098002 \tabularnewline
5 & 0.170739 & 1.0244 & 0.156232 \tabularnewline
6 & 0.096827 & 0.581 & 0.282443 \tabularnewline
7 & -0.017014 & -0.1021 & 0.540371 \tabularnewline
8 & -0.150728 & -0.9044 & 0.814094 \tabularnewline
9 & -0.348096 & -2.0886 & 0.978061 \tabularnewline
10 & -0.446677 & -2.6801 & 0.994484 \tabularnewline
11 & -0.494912 & -2.9695 & 0.997359 \tabularnewline
12 & -0.551612 & -3.3097 & 0.998935 \tabularnewline
13 & -0.316117 & -1.8967 & 0.967043 \tabularnewline
14 & -0.367566 & -2.2054 & 0.983051 \tabularnewline
15 & -0.196971 & -1.1818 & 0.877489 \tabularnewline
16 & -0.204593 & -1.2276 & 0.88621 \tabularnewline
17 & -0.160643 & -0.9639 & 0.829227 \tabularnewline
18 & -0.090652 & -0.5439 & 0.705073 \tabularnewline
19 & -0.047438 & -0.2846 & 0.611219 \tabularnewline
20 & 0.095734 & 0.5744 & 0.284633 \tabularnewline
21 & 0.125917 & 0.7555 & 0.227431 \tabularnewline
22 & 0.125943 & 0.7557 & 0.227385 \tabularnewline
23 & 0.182957 & 1.0977 & 0.139802 \tabularnewline
24 & 0.101548 & 0.6093 & 0.273081 \tabularnewline
25 & 0.048169 & 0.289 & 0.387115 \tabularnewline
26 & 0.101118 & 0.6067 & 0.273926 \tabularnewline
27 & 0.002986 & 0.0179 & 0.492903 \tabularnewline
28 & 0.0361 & 0.2166 & 0.414871 \tabularnewline
29 & 0.0325 & 0.195 & 0.423245 \tabularnewline
30 & -0.014621 & -0.0877 & 0.534709 \tabularnewline
31 & -0.001841 & -0.011 & 0.504376 \tabularnewline
32 & -0.028616 & -0.1717 & 0.567681 \tabularnewline
33 & -0.025549 & -0.1533 & 0.56049 \tabularnewline
34 & -0.010328 & -0.062 & 0.524534 \tabularnewline
35 & -0.005098 & -0.0306 & 0.512116 \tabularnewline
36 & NA & NA & NA \tabularnewline
37 & NA & NA & NA \tabularnewline
38 & NA & NA & NA \tabularnewline
39 & NA & NA & NA \tabularnewline
40 & NA & NA & NA \tabularnewline
41 & NA & NA & NA \tabularnewline
42 & NA & NA & NA \tabularnewline
43 & NA & NA & NA \tabularnewline
44 & NA & NA & NA \tabularnewline
45 & NA & NA & NA \tabularnewline
46 & NA & NA & NA \tabularnewline
47 & NA & NA & NA \tabularnewline
48 & NA & NA & NA \tabularnewline
49 & NA & NA & NA \tabularnewline
50 & NA & NA & NA \tabularnewline
51 & NA & NA & NA \tabularnewline
52 & NA & NA & NA \tabularnewline
53 & NA & NA & NA \tabularnewline
54 & NA & NA & NA \tabularnewline
55 & NA & NA & NA \tabularnewline
56 & NA & NA & NA \tabularnewline
57 & NA & NA & NA \tabularnewline
58 & NA & NA & NA \tabularnewline
59 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=6994&T=1

[TABLE]
[ROW][C]Autocorrelation Function[/C][/ROW]
[ROW][C]Time lag k[/C][C]ACF(k)[/C][C]T-STAT[/C][C]P-value[/C][/ROW]
[ROW][C]0[/C][C]1[/C][C]6[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]0.611109[/C][C]3.6667[/C][C]0.000394[/C][/ROW]
[ROW][C]2[/C][C]0.595701[/C][C]3.5742[/C][C]0.000511[/C][/ROW]
[ROW][C]3[/C][C]0.432146[/C][C]2.5929[/C][C]0.006836[/C][/ROW]
[ROW][C]4[/C][C]0.219579[/C][C]1.3175[/C][C]0.098002[/C][/ROW]
[ROW][C]5[/C][C]0.170739[/C][C]1.0244[/C][C]0.156232[/C][/ROW]
[ROW][C]6[/C][C]0.096827[/C][C]0.581[/C][C]0.282443[/C][/ROW]
[ROW][C]7[/C][C]-0.017014[/C][C]-0.1021[/C][C]0.540371[/C][/ROW]
[ROW][C]8[/C][C]-0.150728[/C][C]-0.9044[/C][C]0.814094[/C][/ROW]
[ROW][C]9[/C][C]-0.348096[/C][C]-2.0886[/C][C]0.978061[/C][/ROW]
[ROW][C]10[/C][C]-0.446677[/C][C]-2.6801[/C][C]0.994484[/C][/ROW]
[ROW][C]11[/C][C]-0.494912[/C][C]-2.9695[/C][C]0.997359[/C][/ROW]
[ROW][C]12[/C][C]-0.551612[/C][C]-3.3097[/C][C]0.998935[/C][/ROW]
[ROW][C]13[/C][C]-0.316117[/C][C]-1.8967[/C][C]0.967043[/C][/ROW]
[ROW][C]14[/C][C]-0.367566[/C][C]-2.2054[/C][C]0.983051[/C][/ROW]
[ROW][C]15[/C][C]-0.196971[/C][C]-1.1818[/C][C]0.877489[/C][/ROW]
[ROW][C]16[/C][C]-0.204593[/C][C]-1.2276[/C][C]0.88621[/C][/ROW]
[ROW][C]17[/C][C]-0.160643[/C][C]-0.9639[/C][C]0.829227[/C][/ROW]
[ROW][C]18[/C][C]-0.090652[/C][C]-0.5439[/C][C]0.705073[/C][/ROW]
[ROW][C]19[/C][C]-0.047438[/C][C]-0.2846[/C][C]0.611219[/C][/ROW]
[ROW][C]20[/C][C]0.095734[/C][C]0.5744[/C][C]0.284633[/C][/ROW]
[ROW][C]21[/C][C]0.125917[/C][C]0.7555[/C][C]0.227431[/C][/ROW]
[ROW][C]22[/C][C]0.125943[/C][C]0.7557[/C][C]0.227385[/C][/ROW]
[ROW][C]23[/C][C]0.182957[/C][C]1.0977[/C][C]0.139802[/C][/ROW]
[ROW][C]24[/C][C]0.101548[/C][C]0.6093[/C][C]0.273081[/C][/ROW]
[ROW][C]25[/C][C]0.048169[/C][C]0.289[/C][C]0.387115[/C][/ROW]
[ROW][C]26[/C][C]0.101118[/C][C]0.6067[/C][C]0.273926[/C][/ROW]
[ROW][C]27[/C][C]0.002986[/C][C]0.0179[/C][C]0.492903[/C][/ROW]
[ROW][C]28[/C][C]0.0361[/C][C]0.2166[/C][C]0.414871[/C][/ROW]
[ROW][C]29[/C][C]0.0325[/C][C]0.195[/C][C]0.423245[/C][/ROW]
[ROW][C]30[/C][C]-0.014621[/C][C]-0.0877[/C][C]0.534709[/C][/ROW]
[ROW][C]31[/C][C]-0.001841[/C][C]-0.011[/C][C]0.504376[/C][/ROW]
[ROW][C]32[/C][C]-0.028616[/C][C]-0.1717[/C][C]0.567681[/C][/ROW]
[ROW][C]33[/C][C]-0.025549[/C][C]-0.1533[/C][C]0.56049[/C][/ROW]
[ROW][C]34[/C][C]-0.010328[/C][C]-0.062[/C][C]0.524534[/C][/ROW]
[ROW][C]35[/C][C]-0.005098[/C][C]-0.0306[/C][C]0.512116[/C][/ROW]
[ROW][C]36[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]37[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]38[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]39[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]40[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]41[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]42[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]43[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]44[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]45[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]46[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]47[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]48[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]49[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]50[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]51[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]52[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]53[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]54[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]55[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]56[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]57[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]58[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]59[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=6994&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=6994&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
0160
10.6111093.66670.000394
20.5957013.57420.000511
30.4321462.59290.006836
40.2195791.31750.098002
50.1707391.02440.156232
60.0968270.5810.282443
7-0.017014-0.10210.540371
8-0.150728-0.90440.814094
9-0.348096-2.08860.978061
10-0.446677-2.68010.994484
11-0.494912-2.96950.997359
12-0.551612-3.30970.998935
13-0.316117-1.89670.967043
14-0.367566-2.20540.983051
15-0.196971-1.18180.877489
16-0.204593-1.22760.88621
17-0.160643-0.96390.829227
18-0.090652-0.54390.705073
19-0.047438-0.28460.611219
200.0957340.57440.284633
210.1259170.75550.227431
220.1259430.75570.227385
230.1829571.09770.139802
240.1015480.60930.273081
250.0481690.2890.387115
260.1011180.60670.273926
270.0029860.01790.492903
280.03610.21660.414871
290.03250.1950.423245
30-0.014621-0.08770.534709
31-0.001841-0.0110.504376
32-0.028616-0.17170.567681
33-0.025549-0.15330.56049
34-0.010328-0.0620.524534
35-0.005098-0.03060.512116
36NANANA
37NANANA
38NANANA
39NANANA
40NANANA
41NANANA
42NANANA
43NANANA
44NANANA
45NANANA
46NANANA
47NANANA
48NANANA
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
00.6111093.66670.000394
10.3547172.12830.020113
2-0.035663-0.2140.584114
3-0.281873-1.69120.950284
40.0088450.05310.478985
50.1136460.68190.24984
6-0.11562-0.69370.753846
7-0.322082-1.93250.969402
8-0.385468-2.31280.98672
9-0.104103-0.62460.73192
100.1304240.78250.219507
11-0.115884-0.69530.754336
120.2620771.57250.062296
13-0.059617-0.35770.638672
140.1175830.70550.242521
15-0.145793-0.87480.806247
16-0.030478-0.18290.572037
17-0.061947-0.37170.643846
18-0.162667-0.9760.832212
19-0.011031-0.06620.526201
20-0.15627-0.93760.822656
21-0.116625-0.69970.755709
220.1296970.77820.220774
230.0281020.16860.433522
24-0.007761-0.04660.518442
25-0.083561-0.50140.690417
260.0113180.06790.473117
27-0.109907-0.65940.743096
280.0891720.5350.297958
29-0.086153-0.51690.695813
30-0.02612-0.15670.561829
310.0432620.25960.398336
32-0.083-0.4980.689245
330.0109570.06570.473973
340.0042070.02520.490002
35NANANA
36NANANA
37NANANA
38NANANA
39NANANA
40NANANA
41NANANA
42NANANA
43NANANA
44NANANA
45NANANA
46NANANA
47NANANA
48NANANA
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & 0.611109 & 3.6667 & 0.000394 \tabularnewline
1 & 0.354717 & 2.1283 & 0.020113 \tabularnewline
2 & -0.035663 & -0.214 & 0.584114 \tabularnewline
3 & -0.281873 & -1.6912 & 0.950284 \tabularnewline
4 & 0.008845 & 0.0531 & 0.478985 \tabularnewline
5 & 0.113646 & 0.6819 & 0.24984 \tabularnewline
6 & -0.11562 & -0.6937 & 0.753846 \tabularnewline
7 & -0.322082 & -1.9325 & 0.969402 \tabularnewline
8 & -0.385468 & -2.3128 & 0.98672 \tabularnewline
9 & -0.104103 & -0.6246 & 0.73192 \tabularnewline
10 & 0.130424 & 0.7825 & 0.219507 \tabularnewline
11 & -0.115884 & -0.6953 & 0.754336 \tabularnewline
12 & 0.262077 & 1.5725 & 0.062296 \tabularnewline
13 & -0.059617 & -0.3577 & 0.638672 \tabularnewline
14 & 0.117583 & 0.7055 & 0.242521 \tabularnewline
15 & -0.145793 & -0.8748 & 0.806247 \tabularnewline
16 & -0.030478 & -0.1829 & 0.572037 \tabularnewline
17 & -0.061947 & -0.3717 & 0.643846 \tabularnewline
18 & -0.162667 & -0.976 & 0.832212 \tabularnewline
19 & -0.011031 & -0.0662 & 0.526201 \tabularnewline
20 & -0.15627 & -0.9376 & 0.822656 \tabularnewline
21 & -0.116625 & -0.6997 & 0.755709 \tabularnewline
22 & 0.129697 & 0.7782 & 0.220774 \tabularnewline
23 & 0.028102 & 0.1686 & 0.433522 \tabularnewline
24 & -0.007761 & -0.0466 & 0.518442 \tabularnewline
25 & -0.083561 & -0.5014 & 0.690417 \tabularnewline
26 & 0.011318 & 0.0679 & 0.473117 \tabularnewline
27 & -0.109907 & -0.6594 & 0.743096 \tabularnewline
28 & 0.089172 & 0.535 & 0.297958 \tabularnewline
29 & -0.086153 & -0.5169 & 0.695813 \tabularnewline
30 & -0.02612 & -0.1567 & 0.561829 \tabularnewline
31 & 0.043262 & 0.2596 & 0.398336 \tabularnewline
32 & -0.083 & -0.498 & 0.689245 \tabularnewline
33 & 0.010957 & 0.0657 & 0.473973 \tabularnewline
34 & 0.004207 & 0.0252 & 0.490002 \tabularnewline
35 & NA & NA & NA \tabularnewline
36 & NA & NA & NA \tabularnewline
37 & NA & NA & NA \tabularnewline
38 & NA & NA & NA \tabularnewline
39 & NA & NA & NA \tabularnewline
40 & NA & NA & NA \tabularnewline
41 & NA & NA & NA \tabularnewline
42 & NA & NA & NA \tabularnewline
43 & NA & NA & NA \tabularnewline
44 & NA & NA & NA \tabularnewline
45 & NA & NA & NA \tabularnewline
46 & NA & NA & NA \tabularnewline
47 & NA & NA & NA \tabularnewline
48 & NA & NA & NA \tabularnewline
49 & NA & NA & NA \tabularnewline
50 & NA & NA & NA \tabularnewline
51 & NA & NA & NA \tabularnewline
52 & NA & NA & NA \tabularnewline
53 & NA & NA & NA \tabularnewline
54 & NA & NA & NA \tabularnewline
55 & NA & NA & NA \tabularnewline
56 & NA & NA & NA \tabularnewline
57 & NA & NA & NA \tabularnewline
58 & NA & NA & NA \tabularnewline
59 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=6994&T=2

[TABLE]
[ROW][C]Partial Autocorrelation Function[/C][/ROW]
[ROW][C]Time lag k[/C][C]PACF(k)[/C][C]T-STAT[/C][C]P-value[/C][/ROW]
[ROW][C]0[/C][C]0.611109[/C][C]3.6667[/C][C]0.000394[/C][/ROW]
[ROW][C]1[/C][C]0.354717[/C][C]2.1283[/C][C]0.020113[/C][/ROW]
[ROW][C]2[/C][C]-0.035663[/C][C]-0.214[/C][C]0.584114[/C][/ROW]
[ROW][C]3[/C][C]-0.281873[/C][C]-1.6912[/C][C]0.950284[/C][/ROW]
[ROW][C]4[/C][C]0.008845[/C][C]0.0531[/C][C]0.478985[/C][/ROW]
[ROW][C]5[/C][C]0.113646[/C][C]0.6819[/C][C]0.24984[/C][/ROW]
[ROW][C]6[/C][C]-0.11562[/C][C]-0.6937[/C][C]0.753846[/C][/ROW]
[ROW][C]7[/C][C]-0.322082[/C][C]-1.9325[/C][C]0.969402[/C][/ROW]
[ROW][C]8[/C][C]-0.385468[/C][C]-2.3128[/C][C]0.98672[/C][/ROW]
[ROW][C]9[/C][C]-0.104103[/C][C]-0.6246[/C][C]0.73192[/C][/ROW]
[ROW][C]10[/C][C]0.130424[/C][C]0.7825[/C][C]0.219507[/C][/ROW]
[ROW][C]11[/C][C]-0.115884[/C][C]-0.6953[/C][C]0.754336[/C][/ROW]
[ROW][C]12[/C][C]0.262077[/C][C]1.5725[/C][C]0.062296[/C][/ROW]
[ROW][C]13[/C][C]-0.059617[/C][C]-0.3577[/C][C]0.638672[/C][/ROW]
[ROW][C]14[/C][C]0.117583[/C][C]0.7055[/C][C]0.242521[/C][/ROW]
[ROW][C]15[/C][C]-0.145793[/C][C]-0.8748[/C][C]0.806247[/C][/ROW]
[ROW][C]16[/C][C]-0.030478[/C][C]-0.1829[/C][C]0.572037[/C][/ROW]
[ROW][C]17[/C][C]-0.061947[/C][C]-0.3717[/C][C]0.643846[/C][/ROW]
[ROW][C]18[/C][C]-0.162667[/C][C]-0.976[/C][C]0.832212[/C][/ROW]
[ROW][C]19[/C][C]-0.011031[/C][C]-0.0662[/C][C]0.526201[/C][/ROW]
[ROW][C]20[/C][C]-0.15627[/C][C]-0.9376[/C][C]0.822656[/C][/ROW]
[ROW][C]21[/C][C]-0.116625[/C][C]-0.6997[/C][C]0.755709[/C][/ROW]
[ROW][C]22[/C][C]0.129697[/C][C]0.7782[/C][C]0.220774[/C][/ROW]
[ROW][C]23[/C][C]0.028102[/C][C]0.1686[/C][C]0.433522[/C][/ROW]
[ROW][C]24[/C][C]-0.007761[/C][C]-0.0466[/C][C]0.518442[/C][/ROW]
[ROW][C]25[/C][C]-0.083561[/C][C]-0.5014[/C][C]0.690417[/C][/ROW]
[ROW][C]26[/C][C]0.011318[/C][C]0.0679[/C][C]0.473117[/C][/ROW]
[ROW][C]27[/C][C]-0.109907[/C][C]-0.6594[/C][C]0.743096[/C][/ROW]
[ROW][C]28[/C][C]0.089172[/C][C]0.535[/C][C]0.297958[/C][/ROW]
[ROW][C]29[/C][C]-0.086153[/C][C]-0.5169[/C][C]0.695813[/C][/ROW]
[ROW][C]30[/C][C]-0.02612[/C][C]-0.1567[/C][C]0.561829[/C][/ROW]
[ROW][C]31[/C][C]0.043262[/C][C]0.2596[/C][C]0.398336[/C][/ROW]
[ROW][C]32[/C][C]-0.083[/C][C]-0.498[/C][C]0.689245[/C][/ROW]
[ROW][C]33[/C][C]0.010957[/C][C]0.0657[/C][C]0.473973[/C][/ROW]
[ROW][C]34[/C][C]0.004207[/C][C]0.0252[/C][C]0.490002[/C][/ROW]
[ROW][C]35[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]36[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]37[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]38[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]39[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]40[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]41[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]42[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]43[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]44[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]45[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]46[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]47[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]48[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]49[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]50[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]51[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]52[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]53[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]54[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]55[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]56[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]57[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]58[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]59[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=6994&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=6994&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
00.6111093.66670.000394
10.3547172.12830.020113
2-0.035663-0.2140.584114
3-0.281873-1.69120.950284
40.0088450.05310.478985
50.1136460.68190.24984
6-0.11562-0.69370.753846
7-0.322082-1.93250.969402
8-0.385468-2.31280.98672
9-0.104103-0.62460.73192
100.1304240.78250.219507
11-0.115884-0.69530.754336
120.2620771.57250.062296
13-0.059617-0.35770.638672
140.1175830.70550.242521
15-0.145793-0.87480.806247
16-0.030478-0.18290.572037
17-0.061947-0.37170.643846
18-0.162667-0.9760.832212
19-0.011031-0.06620.526201
20-0.15627-0.93760.822656
21-0.116625-0.69970.755709
220.1296970.77820.220774
230.0281020.16860.433522
24-0.007761-0.04660.518442
25-0.083561-0.50140.690417
260.0113180.06790.473117
27-0.109907-0.65940.743096
280.0891720.5350.297958
29-0.086153-0.51690.695813
30-0.02612-0.15670.561829
310.0432620.25960.398336
32-0.083-0.4980.689245
330.0109570.06570.473973
340.0042070.02520.490002
35NANANA
36NANANA
37NANANA
38NANANA
39NANANA
40NANANA
41NANANA
42NANANA
43NANANA
44NANANA
45NANANA
46NANANA
47NANANA
48NANANA
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA



Parameters (Session):
par1 = 60 ; par2 = 1 ; par3 = 0 ; par4 = 2 ; par5 = 12 ;
Parameters (R input):
par1 = 60 ; par2 = 1 ; par3 = 0 ; par4 = 2 ; par5 = 12 ;
R code (references can be found in the software module):
if (par1 == 'Default') {
par1 = 10*log10(length(x))
} else {
par1 <- as.numeric(par1)
}
par2 <- as.numeric(par2)
par3 <- as.numeric(par3)
par4 <- as.numeric(par4)
par5 <- as.numeric(par5)
if (par2 == 0) {
x <- log(x)
} else {
x <- (x ^ par2 - 1) / par2
}
if (par3 > 0) x <- diff(x,lag=1,difference=par3)
if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
bitmap(file='pic1.png')
racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF')
dev.off()
bitmap(file='pic2.png')
rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
dev.off()
(myacf <- c(racf$acf))
(mypacf <- c(rpacf$acf))
lengthx <- length(x)
sqrtn <- sqrt(lengthx)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Autocorrelation Function',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Time lag k',header=TRUE)
a<-table.element(a,hyperlink('basics.htm','ACF(k)','click here for more information about the Autocorrelation Function'),header=TRUE)
a<-table.element(a,'T-STAT',header=TRUE)
a<-table.element(a,'P-value',header=TRUE)
a<-table.row.end(a)
for (i in 1:par1) {
a<-table.row.start(a)
a<-table.element(a,i-1,header=TRUE)
a<-table.element(a,round(myacf[i],6))
mytstat <- myacf[i]*sqrtn
a<-table.element(a,round(mytstat,4))
a<-table.element(a,round(1-pt(mytstat,lengthx),6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Partial Autocorrelation Function',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Time lag k',header=TRUE)
a<-table.element(a,hyperlink('basics.htm','PACF(k)','click here for more information about the Partial Autocorrelation Function'),header=TRUE)
a<-table.element(a,'T-STAT',header=TRUE)
a<-table.element(a,'P-value',header=TRUE)
a<-table.row.end(a)
for (i in 1:par1) {
a<-table.row.start(a)
a<-table.element(a,i-1,header=TRUE)
a<-table.element(a,round(mypacf[i],6))
mytstat <- mypacf[i]*sqrtn
a<-table.element(a,round(mytstat,4))
a<-table.element(a,round(1-pt(mytstat,lengthx),6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')