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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationFri, 19 Dec 2008 06:24:37 -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/19/t12296931673jbsznonupubghb.htm/, Retrieved Thu, 16 May 2024 00:28:22 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=35114, Retrieved Thu, 16 May 2024 00:28:22 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact234
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Standard Deviation-Mean Plot] [Paper2] [2008-12-19 12:57:19] [8ac58ef7b35dc5a117bc162cf16850e9]
- RMPD    [(Partial) Autocorrelation Function] [Paper11] [2008-12-19 13:24:37] [acca1d0ee7cc95ffc080d0867a313954] [Current]
-   PD      [(Partial) Autocorrelation Function] [Paper12] [2008-12-19 13:29:09] [74be16979710d4c4e7c6647856088456]
-             [(Partial) Autocorrelation Function] [Paper 12] [2008-12-24 12:02:27] [74be16979710d4c4e7c6647856088456]
-    D      [(Partial) Autocorrelation Function] [Paper 11] [2008-12-24 12:01:22] [74be16979710d4c4e7c6647856088456]
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Dataseries X:
65,1
72,5
70,6
81,9
72
70,9
71,1
65,1
78,1
92
77,8
63,3
56,2
79,2
69
66,1
77,5
69,3
70,2
70,2
78,2
85,4
82,4
61,2
52,2
85,3
79,9
72,2
85,7
75,5
69,2
77,6
85,3
77
89,9
60
54,3
84
69,9
75,1
81,7
69,9
68,3
77,3
77,4
85,3
91
60,6
57,6
93,8
78,7
80,3
89,8
77,5
71,7
83,2
86,2
100,7
100,8
57,1




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'George Udny Yule' @ 72.249.76.132

\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 & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=35114&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=35114&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35114&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'George Udny Yule' @ 72.249.76.132







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.1231030.95360.172068
2-0.266149-2.06160.021794
30.0070330.05450.478367
4-0.103237-0.79970.213529
50.1116830.86510.195216
60.3432332.65870.005021
70.0471280.3650.358179
8-0.086585-0.67070.252498
9-0.045274-0.35070.363524
10-0.337002-2.61040.005702
110.1063580.82380.206645
120.6005284.65179e-06
134.7e-054e-040.499856
14-0.240038-1.85930.033943
15-0.091066-0.70540.241647
16-0.147919-1.14580.128218
170.0647570.50160.308891
180.2142321.65940.051124
19-0.009338-0.07230.471289
20-0.093045-0.72070.23694
21-0.067732-0.52460.300881
22-0.276241-2.13980.018226
230.150491.16570.124177
240.4204283.25660.000928
250.0071150.05510.478117
26-0.108602-0.84120.20178
27-0.120455-0.9330.177268
28-0.064778-0.50180.308833
290.0692020.5360.296958
300.1109840.85970.196694
310.0142630.11050.456198
32-0.055084-0.42670.335569
33-0.119372-0.92460.179427
34-0.213833-1.65630.051437
350.0648850.50260.308543
360.2381981.84510.034982
370.0108340.08390.4667
38-0.153831-1.19160.119062
39-0.137326-1.06370.145858
40-0.035309-0.27350.392704
41-0.006475-0.05020.480082
420.0117020.09060.464039
43-0.028251-0.21880.413763
44-0.06269-0.48560.314512
45-0.124874-0.96730.168647
46-0.106265-0.82310.206848
470.055190.42750.335273
480.1066590.82620.205987
490.0251720.1950.423034
50-0.095239-0.73770.23178
51-0.088402-0.68480.248067
52-0.022531-0.17450.431022
53-0.014347-0.11110.455941
540.0173840.13470.446668
55-0.001099-0.00850.496618
56-0.060588-0.46930.320274
57-0.035057-0.27160.393449
58-0.029529-0.22870.409929
590.0269560.20880.417657
60NANANA

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.123103 & 0.9536 & 0.172068 \tabularnewline
2 & -0.266149 & -2.0616 & 0.021794 \tabularnewline
3 & 0.007033 & 0.0545 & 0.478367 \tabularnewline
4 & -0.103237 & -0.7997 & 0.213529 \tabularnewline
5 & 0.111683 & 0.8651 & 0.195216 \tabularnewline
6 & 0.343233 & 2.6587 & 0.005021 \tabularnewline
7 & 0.047128 & 0.365 & 0.358179 \tabularnewline
8 & -0.086585 & -0.6707 & 0.252498 \tabularnewline
9 & -0.045274 & -0.3507 & 0.363524 \tabularnewline
10 & -0.337002 & -2.6104 & 0.005702 \tabularnewline
11 & 0.106358 & 0.8238 & 0.206645 \tabularnewline
12 & 0.600528 & 4.6517 & 9e-06 \tabularnewline
13 & 4.7e-05 & 4e-04 & 0.499856 \tabularnewline
14 & -0.240038 & -1.8593 & 0.033943 \tabularnewline
15 & -0.091066 & -0.7054 & 0.241647 \tabularnewline
16 & -0.147919 & -1.1458 & 0.128218 \tabularnewline
17 & 0.064757 & 0.5016 & 0.308891 \tabularnewline
18 & 0.214232 & 1.6594 & 0.051124 \tabularnewline
19 & -0.009338 & -0.0723 & 0.471289 \tabularnewline
20 & -0.093045 & -0.7207 & 0.23694 \tabularnewline
21 & -0.067732 & -0.5246 & 0.300881 \tabularnewline
22 & -0.276241 & -2.1398 & 0.018226 \tabularnewline
23 & 0.15049 & 1.1657 & 0.124177 \tabularnewline
24 & 0.420428 & 3.2566 & 0.000928 \tabularnewline
25 & 0.007115 & 0.0551 & 0.478117 \tabularnewline
26 & -0.108602 & -0.8412 & 0.20178 \tabularnewline
27 & -0.120455 & -0.933 & 0.177268 \tabularnewline
28 & -0.064778 & -0.5018 & 0.308833 \tabularnewline
29 & 0.069202 & 0.536 & 0.296958 \tabularnewline
30 & 0.110984 & 0.8597 & 0.196694 \tabularnewline
31 & 0.014263 & 0.1105 & 0.456198 \tabularnewline
32 & -0.055084 & -0.4267 & 0.335569 \tabularnewline
33 & -0.119372 & -0.9246 & 0.179427 \tabularnewline
34 & -0.213833 & -1.6563 & 0.051437 \tabularnewline
35 & 0.064885 & 0.5026 & 0.308543 \tabularnewline
36 & 0.238198 & 1.8451 & 0.034982 \tabularnewline
37 & 0.010834 & 0.0839 & 0.4667 \tabularnewline
38 & -0.153831 & -1.1916 & 0.119062 \tabularnewline
39 & -0.137326 & -1.0637 & 0.145858 \tabularnewline
40 & -0.035309 & -0.2735 & 0.392704 \tabularnewline
41 & -0.006475 & -0.0502 & 0.480082 \tabularnewline
42 & 0.011702 & 0.0906 & 0.464039 \tabularnewline
43 & -0.028251 & -0.2188 & 0.413763 \tabularnewline
44 & -0.06269 & -0.4856 & 0.314512 \tabularnewline
45 & -0.124874 & -0.9673 & 0.168647 \tabularnewline
46 & -0.106265 & -0.8231 & 0.206848 \tabularnewline
47 & 0.05519 & 0.4275 & 0.335273 \tabularnewline
48 & 0.106659 & 0.8262 & 0.205987 \tabularnewline
49 & 0.025172 & 0.195 & 0.423034 \tabularnewline
50 & -0.095239 & -0.7377 & 0.23178 \tabularnewline
51 & -0.088402 & -0.6848 & 0.248067 \tabularnewline
52 & -0.022531 & -0.1745 & 0.431022 \tabularnewline
53 & -0.014347 & -0.1111 & 0.455941 \tabularnewline
54 & 0.017384 & 0.1347 & 0.446668 \tabularnewline
55 & -0.001099 & -0.0085 & 0.496618 \tabularnewline
56 & -0.060588 & -0.4693 & 0.320274 \tabularnewline
57 & -0.035057 & -0.2716 & 0.393449 \tabularnewline
58 & -0.029529 & -0.2287 & 0.409929 \tabularnewline
59 & 0.026956 & 0.2088 & 0.417657 \tabularnewline
60 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=35114&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]0.123103[/C][C]0.9536[/C][C]0.172068[/C][/ROW]
[ROW][C]2[/C][C]-0.266149[/C][C]-2.0616[/C][C]0.021794[/C][/ROW]
[ROW][C]3[/C][C]0.007033[/C][C]0.0545[/C][C]0.478367[/C][/ROW]
[ROW][C]4[/C][C]-0.103237[/C][C]-0.7997[/C][C]0.213529[/C][/ROW]
[ROW][C]5[/C][C]0.111683[/C][C]0.8651[/C][C]0.195216[/C][/ROW]
[ROW][C]6[/C][C]0.343233[/C][C]2.6587[/C][C]0.005021[/C][/ROW]
[ROW][C]7[/C][C]0.047128[/C][C]0.365[/C][C]0.358179[/C][/ROW]
[ROW][C]8[/C][C]-0.086585[/C][C]-0.6707[/C][C]0.252498[/C][/ROW]
[ROW][C]9[/C][C]-0.045274[/C][C]-0.3507[/C][C]0.363524[/C][/ROW]
[ROW][C]10[/C][C]-0.337002[/C][C]-2.6104[/C][C]0.005702[/C][/ROW]
[ROW][C]11[/C][C]0.106358[/C][C]0.8238[/C][C]0.206645[/C][/ROW]
[ROW][C]12[/C][C]0.600528[/C][C]4.6517[/C][C]9e-06[/C][/ROW]
[ROW][C]13[/C][C]4.7e-05[/C][C]4e-04[/C][C]0.499856[/C][/ROW]
[ROW][C]14[/C][C]-0.240038[/C][C]-1.8593[/C][C]0.033943[/C][/ROW]
[ROW][C]15[/C][C]-0.091066[/C][C]-0.7054[/C][C]0.241647[/C][/ROW]
[ROW][C]16[/C][C]-0.147919[/C][C]-1.1458[/C][C]0.128218[/C][/ROW]
[ROW][C]17[/C][C]0.064757[/C][C]0.5016[/C][C]0.308891[/C][/ROW]
[ROW][C]18[/C][C]0.214232[/C][C]1.6594[/C][C]0.051124[/C][/ROW]
[ROW][C]19[/C][C]-0.009338[/C][C]-0.0723[/C][C]0.471289[/C][/ROW]
[ROW][C]20[/C][C]-0.093045[/C][C]-0.7207[/C][C]0.23694[/C][/ROW]
[ROW][C]21[/C][C]-0.067732[/C][C]-0.5246[/C][C]0.300881[/C][/ROW]
[ROW][C]22[/C][C]-0.276241[/C][C]-2.1398[/C][C]0.018226[/C][/ROW]
[ROW][C]23[/C][C]0.15049[/C][C]1.1657[/C][C]0.124177[/C][/ROW]
[ROW][C]24[/C][C]0.420428[/C][C]3.2566[/C][C]0.000928[/C][/ROW]
[ROW][C]25[/C][C]0.007115[/C][C]0.0551[/C][C]0.478117[/C][/ROW]
[ROW][C]26[/C][C]-0.108602[/C][C]-0.8412[/C][C]0.20178[/C][/ROW]
[ROW][C]27[/C][C]-0.120455[/C][C]-0.933[/C][C]0.177268[/C][/ROW]
[ROW][C]28[/C][C]-0.064778[/C][C]-0.5018[/C][C]0.308833[/C][/ROW]
[ROW][C]29[/C][C]0.069202[/C][C]0.536[/C][C]0.296958[/C][/ROW]
[ROW][C]30[/C][C]0.110984[/C][C]0.8597[/C][C]0.196694[/C][/ROW]
[ROW][C]31[/C][C]0.014263[/C][C]0.1105[/C][C]0.456198[/C][/ROW]
[ROW][C]32[/C][C]-0.055084[/C][C]-0.4267[/C][C]0.335569[/C][/ROW]
[ROW][C]33[/C][C]-0.119372[/C][C]-0.9246[/C][C]0.179427[/C][/ROW]
[ROW][C]34[/C][C]-0.213833[/C][C]-1.6563[/C][C]0.051437[/C][/ROW]
[ROW][C]35[/C][C]0.064885[/C][C]0.5026[/C][C]0.308543[/C][/ROW]
[ROW][C]36[/C][C]0.238198[/C][C]1.8451[/C][C]0.034982[/C][/ROW]
[ROW][C]37[/C][C]0.010834[/C][C]0.0839[/C][C]0.4667[/C][/ROW]
[ROW][C]38[/C][C]-0.153831[/C][C]-1.1916[/C][C]0.119062[/C][/ROW]
[ROW][C]39[/C][C]-0.137326[/C][C]-1.0637[/C][C]0.145858[/C][/ROW]
[ROW][C]40[/C][C]-0.035309[/C][C]-0.2735[/C][C]0.392704[/C][/ROW]
[ROW][C]41[/C][C]-0.006475[/C][C]-0.0502[/C][C]0.480082[/C][/ROW]
[ROW][C]42[/C][C]0.011702[/C][C]0.0906[/C][C]0.464039[/C][/ROW]
[ROW][C]43[/C][C]-0.028251[/C][C]-0.2188[/C][C]0.413763[/C][/ROW]
[ROW][C]44[/C][C]-0.06269[/C][C]-0.4856[/C][C]0.314512[/C][/ROW]
[ROW][C]45[/C][C]-0.124874[/C][C]-0.9673[/C][C]0.168647[/C][/ROW]
[ROW][C]46[/C][C]-0.106265[/C][C]-0.8231[/C][C]0.206848[/C][/ROW]
[ROW][C]47[/C][C]0.05519[/C][C]0.4275[/C][C]0.335273[/C][/ROW]
[ROW][C]48[/C][C]0.106659[/C][C]0.8262[/C][C]0.205987[/C][/ROW]
[ROW][C]49[/C][C]0.025172[/C][C]0.195[/C][C]0.423034[/C][/ROW]
[ROW][C]50[/C][C]-0.095239[/C][C]-0.7377[/C][C]0.23178[/C][/ROW]
[ROW][C]51[/C][C]-0.088402[/C][C]-0.6848[/C][C]0.248067[/C][/ROW]
[ROW][C]52[/C][C]-0.022531[/C][C]-0.1745[/C][C]0.431022[/C][/ROW]
[ROW][C]53[/C][C]-0.014347[/C][C]-0.1111[/C][C]0.455941[/C][/ROW]
[ROW][C]54[/C][C]0.017384[/C][C]0.1347[/C][C]0.446668[/C][/ROW]
[ROW][C]55[/C][C]-0.001099[/C][C]-0.0085[/C][C]0.496618[/C][/ROW]
[ROW][C]56[/C][C]-0.060588[/C][C]-0.4693[/C][C]0.320274[/C][/ROW]
[ROW][C]57[/C][C]-0.035057[/C][C]-0.2716[/C][C]0.393449[/C][/ROW]
[ROW][C]58[/C][C]-0.029529[/C][C]-0.2287[/C][C]0.409929[/C][/ROW]
[ROW][C]59[/C][C]0.026956[/C][C]0.2088[/C][C]0.417657[/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=35114&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35114&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
10.1231030.95360.172068
2-0.266149-2.06160.021794
30.0070330.05450.478367
4-0.103237-0.79970.213529
50.1116830.86510.195216
60.3432332.65870.005021
70.0471280.3650.358179
8-0.086585-0.67070.252498
9-0.045274-0.35070.363524
10-0.337002-2.61040.005702
110.1063580.82380.206645
120.6005284.65179e-06
134.7e-054e-040.499856
14-0.240038-1.85930.033943
15-0.091066-0.70540.241647
16-0.147919-1.14580.128218
170.0647570.50160.308891
180.2142321.65940.051124
19-0.009338-0.07230.471289
20-0.093045-0.72070.23694
21-0.067732-0.52460.300881
22-0.276241-2.13980.018226
230.150491.16570.124177
240.4204283.25660.000928
250.0071150.05510.478117
26-0.108602-0.84120.20178
27-0.120455-0.9330.177268
28-0.064778-0.50180.308833
290.0692020.5360.296958
300.1109840.85970.196694
310.0142630.11050.456198
32-0.055084-0.42670.335569
33-0.119372-0.92460.179427
34-0.213833-1.65630.051437
350.0648850.50260.308543
360.2381981.84510.034982
370.0108340.08390.4667
38-0.153831-1.19160.119062
39-0.137326-1.06370.145858
40-0.035309-0.27350.392704
41-0.006475-0.05020.480082
420.0117020.09060.464039
43-0.028251-0.21880.413763
44-0.06269-0.48560.314512
45-0.124874-0.96730.168647
46-0.106265-0.82310.206848
470.055190.42750.335273
480.1066590.82620.205987
490.0251720.1950.423034
50-0.095239-0.73770.23178
51-0.088402-0.68480.248067
52-0.022531-0.17450.431022
53-0.014347-0.11110.455941
540.0173840.13470.446668
55-0.001099-0.00850.496618
56-0.060588-0.46930.320274
57-0.035057-0.27160.393449
58-0.029529-0.22870.409929
590.0269560.20880.417657
60NANANA







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.1231030.95360.172068
2-0.285632-2.21250.015375
30.0932210.72210.236524
4-0.218551-1.69290.047832
50.2318061.79560.0388
60.2138311.65630.051439
70.0701640.54350.294404
80.0362950.28110.389784
9-0.027492-0.2130.416044
10-0.379567-2.94010.002327
110.2126621.64730.052365
120.3876133.00240.00195
13-0.07342-0.56870.285839
14-0.094935-0.73540.232491
15-0.079962-0.61940.269005
16-0.015623-0.1210.452041
17-0.078559-0.60850.27257
18-0.078142-0.60530.273635
190.0156810.12150.451864
20-0.066583-0.51580.303962
210.0887080.68710.247324
22-0.006513-0.05040.479966
230.1474411.14210.12898
24-0.002607-0.02020.491977
250.0958280.74230.230407
260.0565680.43820.331417
27-0.079792-0.61810.269437
280.0855120.66240.255134
29-0.128473-0.99520.16183
30-0.087358-0.67670.250608
310.0060830.04710.481287
32-0.054136-0.41930.338235
33-0.013914-0.10780.457267
34-0.05546-0.42960.334515
35-0.09181-0.71120.239872
360.0204220.15820.437419
37-0.038002-0.29440.384749
38-0.067728-0.52460.30089
390.0301890.23380.407952
40-0.001449-0.01120.495541
41-0.013069-0.10120.459852
42-0.063281-0.49020.312899
43-0.066534-0.51540.304095
44-0.012559-0.09730.461413
45-0.050681-0.39260.348012
460.1094070.84750.200053
47-0.021615-0.16740.433796
48-0.057705-0.4470.32825
49-0.036783-0.28490.388342
500.0662120.51290.304961
51-0.045076-0.34920.364095
52-0.137356-1.0640.145805
530.0109990.08520.466195
54-0.007529-0.05830.476843
55-0.007121-0.05520.478097
56-0.019151-0.14830.441284
570.1073350.83140.204518
58-0.010326-0.080.468257
590.0097920.07580.469897
60NANANA

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.123103 & 0.9536 & 0.172068 \tabularnewline
2 & -0.285632 & -2.2125 & 0.015375 \tabularnewline
3 & 0.093221 & 0.7221 & 0.236524 \tabularnewline
4 & -0.218551 & -1.6929 & 0.047832 \tabularnewline
5 & 0.231806 & 1.7956 & 0.0388 \tabularnewline
6 & 0.213831 & 1.6563 & 0.051439 \tabularnewline
7 & 0.070164 & 0.5435 & 0.294404 \tabularnewline
8 & 0.036295 & 0.2811 & 0.389784 \tabularnewline
9 & -0.027492 & -0.213 & 0.416044 \tabularnewline
10 & -0.379567 & -2.9401 & 0.002327 \tabularnewline
11 & 0.212662 & 1.6473 & 0.052365 \tabularnewline
12 & 0.387613 & 3.0024 & 0.00195 \tabularnewline
13 & -0.07342 & -0.5687 & 0.285839 \tabularnewline
14 & -0.094935 & -0.7354 & 0.232491 \tabularnewline
15 & -0.079962 & -0.6194 & 0.269005 \tabularnewline
16 & -0.015623 & -0.121 & 0.452041 \tabularnewline
17 & -0.078559 & -0.6085 & 0.27257 \tabularnewline
18 & -0.078142 & -0.6053 & 0.273635 \tabularnewline
19 & 0.015681 & 0.1215 & 0.451864 \tabularnewline
20 & -0.066583 & -0.5158 & 0.303962 \tabularnewline
21 & 0.088708 & 0.6871 & 0.247324 \tabularnewline
22 & -0.006513 & -0.0504 & 0.479966 \tabularnewline
23 & 0.147441 & 1.1421 & 0.12898 \tabularnewline
24 & -0.002607 & -0.0202 & 0.491977 \tabularnewline
25 & 0.095828 & 0.7423 & 0.230407 \tabularnewline
26 & 0.056568 & 0.4382 & 0.331417 \tabularnewline
27 & -0.079792 & -0.6181 & 0.269437 \tabularnewline
28 & 0.085512 & 0.6624 & 0.255134 \tabularnewline
29 & -0.128473 & -0.9952 & 0.16183 \tabularnewline
30 & -0.087358 & -0.6767 & 0.250608 \tabularnewline
31 & 0.006083 & 0.0471 & 0.481287 \tabularnewline
32 & -0.054136 & -0.4193 & 0.338235 \tabularnewline
33 & -0.013914 & -0.1078 & 0.457267 \tabularnewline
34 & -0.05546 & -0.4296 & 0.334515 \tabularnewline
35 & -0.09181 & -0.7112 & 0.239872 \tabularnewline
36 & 0.020422 & 0.1582 & 0.437419 \tabularnewline
37 & -0.038002 & -0.2944 & 0.384749 \tabularnewline
38 & -0.067728 & -0.5246 & 0.30089 \tabularnewline
39 & 0.030189 & 0.2338 & 0.407952 \tabularnewline
40 & -0.001449 & -0.0112 & 0.495541 \tabularnewline
41 & -0.013069 & -0.1012 & 0.459852 \tabularnewline
42 & -0.063281 & -0.4902 & 0.312899 \tabularnewline
43 & -0.066534 & -0.5154 & 0.304095 \tabularnewline
44 & -0.012559 & -0.0973 & 0.461413 \tabularnewline
45 & -0.050681 & -0.3926 & 0.348012 \tabularnewline
46 & 0.109407 & 0.8475 & 0.200053 \tabularnewline
47 & -0.021615 & -0.1674 & 0.433796 \tabularnewline
48 & -0.057705 & -0.447 & 0.32825 \tabularnewline
49 & -0.036783 & -0.2849 & 0.388342 \tabularnewline
50 & 0.066212 & 0.5129 & 0.304961 \tabularnewline
51 & -0.045076 & -0.3492 & 0.364095 \tabularnewline
52 & -0.137356 & -1.064 & 0.145805 \tabularnewline
53 & 0.010999 & 0.0852 & 0.466195 \tabularnewline
54 & -0.007529 & -0.0583 & 0.476843 \tabularnewline
55 & -0.007121 & -0.0552 & 0.478097 \tabularnewline
56 & -0.019151 & -0.1483 & 0.441284 \tabularnewline
57 & 0.107335 & 0.8314 & 0.204518 \tabularnewline
58 & -0.010326 & -0.08 & 0.468257 \tabularnewline
59 & 0.009792 & 0.0758 & 0.469897 \tabularnewline
60 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=35114&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]0.123103[/C][C]0.9536[/C][C]0.172068[/C][/ROW]
[ROW][C]2[/C][C]-0.285632[/C][C]-2.2125[/C][C]0.015375[/C][/ROW]
[ROW][C]3[/C][C]0.093221[/C][C]0.7221[/C][C]0.236524[/C][/ROW]
[ROW][C]4[/C][C]-0.218551[/C][C]-1.6929[/C][C]0.047832[/C][/ROW]
[ROW][C]5[/C][C]0.231806[/C][C]1.7956[/C][C]0.0388[/C][/ROW]
[ROW][C]6[/C][C]0.213831[/C][C]1.6563[/C][C]0.051439[/C][/ROW]
[ROW][C]7[/C][C]0.070164[/C][C]0.5435[/C][C]0.294404[/C][/ROW]
[ROW][C]8[/C][C]0.036295[/C][C]0.2811[/C][C]0.389784[/C][/ROW]
[ROW][C]9[/C][C]-0.027492[/C][C]-0.213[/C][C]0.416044[/C][/ROW]
[ROW][C]10[/C][C]-0.379567[/C][C]-2.9401[/C][C]0.002327[/C][/ROW]
[ROW][C]11[/C][C]0.212662[/C][C]1.6473[/C][C]0.052365[/C][/ROW]
[ROW][C]12[/C][C]0.387613[/C][C]3.0024[/C][C]0.00195[/C][/ROW]
[ROW][C]13[/C][C]-0.07342[/C][C]-0.5687[/C][C]0.285839[/C][/ROW]
[ROW][C]14[/C][C]-0.094935[/C][C]-0.7354[/C][C]0.232491[/C][/ROW]
[ROW][C]15[/C][C]-0.079962[/C][C]-0.6194[/C][C]0.269005[/C][/ROW]
[ROW][C]16[/C][C]-0.015623[/C][C]-0.121[/C][C]0.452041[/C][/ROW]
[ROW][C]17[/C][C]-0.078559[/C][C]-0.6085[/C][C]0.27257[/C][/ROW]
[ROW][C]18[/C][C]-0.078142[/C][C]-0.6053[/C][C]0.273635[/C][/ROW]
[ROW][C]19[/C][C]0.015681[/C][C]0.1215[/C][C]0.451864[/C][/ROW]
[ROW][C]20[/C][C]-0.066583[/C][C]-0.5158[/C][C]0.303962[/C][/ROW]
[ROW][C]21[/C][C]0.088708[/C][C]0.6871[/C][C]0.247324[/C][/ROW]
[ROW][C]22[/C][C]-0.006513[/C][C]-0.0504[/C][C]0.479966[/C][/ROW]
[ROW][C]23[/C][C]0.147441[/C][C]1.1421[/C][C]0.12898[/C][/ROW]
[ROW][C]24[/C][C]-0.002607[/C][C]-0.0202[/C][C]0.491977[/C][/ROW]
[ROW][C]25[/C][C]0.095828[/C][C]0.7423[/C][C]0.230407[/C][/ROW]
[ROW][C]26[/C][C]0.056568[/C][C]0.4382[/C][C]0.331417[/C][/ROW]
[ROW][C]27[/C][C]-0.079792[/C][C]-0.6181[/C][C]0.269437[/C][/ROW]
[ROW][C]28[/C][C]0.085512[/C][C]0.6624[/C][C]0.255134[/C][/ROW]
[ROW][C]29[/C][C]-0.128473[/C][C]-0.9952[/C][C]0.16183[/C][/ROW]
[ROW][C]30[/C][C]-0.087358[/C][C]-0.6767[/C][C]0.250608[/C][/ROW]
[ROW][C]31[/C][C]0.006083[/C][C]0.0471[/C][C]0.481287[/C][/ROW]
[ROW][C]32[/C][C]-0.054136[/C][C]-0.4193[/C][C]0.338235[/C][/ROW]
[ROW][C]33[/C][C]-0.013914[/C][C]-0.1078[/C][C]0.457267[/C][/ROW]
[ROW][C]34[/C][C]-0.05546[/C][C]-0.4296[/C][C]0.334515[/C][/ROW]
[ROW][C]35[/C][C]-0.09181[/C][C]-0.7112[/C][C]0.239872[/C][/ROW]
[ROW][C]36[/C][C]0.020422[/C][C]0.1582[/C][C]0.437419[/C][/ROW]
[ROW][C]37[/C][C]-0.038002[/C][C]-0.2944[/C][C]0.384749[/C][/ROW]
[ROW][C]38[/C][C]-0.067728[/C][C]-0.5246[/C][C]0.30089[/C][/ROW]
[ROW][C]39[/C][C]0.030189[/C][C]0.2338[/C][C]0.407952[/C][/ROW]
[ROW][C]40[/C][C]-0.001449[/C][C]-0.0112[/C][C]0.495541[/C][/ROW]
[ROW][C]41[/C][C]-0.013069[/C][C]-0.1012[/C][C]0.459852[/C][/ROW]
[ROW][C]42[/C][C]-0.063281[/C][C]-0.4902[/C][C]0.312899[/C][/ROW]
[ROW][C]43[/C][C]-0.066534[/C][C]-0.5154[/C][C]0.304095[/C][/ROW]
[ROW][C]44[/C][C]-0.012559[/C][C]-0.0973[/C][C]0.461413[/C][/ROW]
[ROW][C]45[/C][C]-0.050681[/C][C]-0.3926[/C][C]0.348012[/C][/ROW]
[ROW][C]46[/C][C]0.109407[/C][C]0.8475[/C][C]0.200053[/C][/ROW]
[ROW][C]47[/C][C]-0.021615[/C][C]-0.1674[/C][C]0.433796[/C][/ROW]
[ROW][C]48[/C][C]-0.057705[/C][C]-0.447[/C][C]0.32825[/C][/ROW]
[ROW][C]49[/C][C]-0.036783[/C][C]-0.2849[/C][C]0.388342[/C][/ROW]
[ROW][C]50[/C][C]0.066212[/C][C]0.5129[/C][C]0.304961[/C][/ROW]
[ROW][C]51[/C][C]-0.045076[/C][C]-0.3492[/C][C]0.364095[/C][/ROW]
[ROW][C]52[/C][C]-0.137356[/C][C]-1.064[/C][C]0.145805[/C][/ROW]
[ROW][C]53[/C][C]0.010999[/C][C]0.0852[/C][C]0.466195[/C][/ROW]
[ROW][C]54[/C][C]-0.007529[/C][C]-0.0583[/C][C]0.476843[/C][/ROW]
[ROW][C]55[/C][C]-0.007121[/C][C]-0.0552[/C][C]0.478097[/C][/ROW]
[ROW][C]56[/C][C]-0.019151[/C][C]-0.1483[/C][C]0.441284[/C][/ROW]
[ROW][C]57[/C][C]0.107335[/C][C]0.8314[/C][C]0.204518[/C][/ROW]
[ROW][C]58[/C][C]-0.010326[/C][C]-0.08[/C][C]0.468257[/C][/ROW]
[ROW][C]59[/C][C]0.009792[/C][C]0.0758[/C][C]0.469897[/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=35114&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35114&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
10.1231030.95360.172068
2-0.285632-2.21250.015375
30.0932210.72210.236524
4-0.218551-1.69290.047832
50.2318061.79560.0388
60.2138311.65630.051439
70.0701640.54350.294404
80.0362950.28110.389784
9-0.027492-0.2130.416044
10-0.379567-2.94010.002327
110.2126621.64730.052365
120.3876133.00240.00195
13-0.07342-0.56870.285839
14-0.094935-0.73540.232491
15-0.079962-0.61940.269005
16-0.015623-0.1210.452041
17-0.078559-0.60850.27257
18-0.078142-0.60530.273635
190.0156810.12150.451864
20-0.066583-0.51580.303962
210.0887080.68710.247324
22-0.006513-0.05040.479966
230.1474411.14210.12898
24-0.002607-0.02020.491977
250.0958280.74230.230407
260.0565680.43820.331417
27-0.079792-0.61810.269437
280.0855120.66240.255134
29-0.128473-0.99520.16183
30-0.087358-0.67670.250608
310.0060830.04710.481287
32-0.054136-0.41930.338235
33-0.013914-0.10780.457267
34-0.05546-0.42960.334515
35-0.09181-0.71120.239872
360.0204220.15820.437419
37-0.038002-0.29440.384749
38-0.067728-0.52460.30089
390.0301890.23380.407952
40-0.001449-0.01120.495541
41-0.013069-0.10120.459852
42-0.063281-0.49020.312899
43-0.066534-0.51540.304095
44-0.012559-0.09730.461413
45-0.050681-0.39260.348012
460.1094070.84750.200053
47-0.021615-0.16740.433796
48-0.057705-0.4470.32825
49-0.036783-0.28490.388342
500.0662120.51290.304961
51-0.045076-0.34920.364095
52-0.137356-1.0640.145805
530.0109990.08520.466195
54-0.007529-0.05830.476843
55-0.007121-0.05520.478097
56-0.019151-0.14830.441284
570.1073350.83140.204518
58-0.010326-0.080.468257
590.0097920.07580.469897
60NANANA



Parameters (Session):
par1 = 60 ; par2 = 1.0 ; par3 = 0 ; par4 = 0 ; par5 = 12 ;
Parameters (R input):
par1 = 60 ; par2 = 1.0 ; 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')