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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, 22 May 2009 06:11:40 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/May/22/t1242994380pxmwvdbqfda84r2.htm/, Retrieved Sun, 05 May 2024 20:16:15 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=40300, Retrieved Sun, 05 May 2024 20:16:15 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact196
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [Martin Horemans -...] [2009-05-22 12:11:40] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataseries X:
1746
1271
1363
1664
2179
2305
2098
2231
1407
1966
2293
2045
1532
1333
1583
1712
2641
2267
2126
2231
1517
2010
2628
2115
1829
1636
1787
2122
2620
2555
2337
2524
1801
2417
2389
2267
2135
1760
1905
2176
2344
2674
2766
2783
2000
2588
2736
2704
2466
1976
2171
2397
2942
2707
2861
2765
1814
2611
2606
2518
2267
1730
1901
2124
2448
2489
2521
2466
1827
2278
2373
2356
2075
1606
1699
2311
2093
2064
2180
2136




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=40300&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=40300&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=40300&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
10.5223994.67256e-06
20.1782421.59420.057413
30.0076070.0680.47296
4-0.004581-0.0410.483711
50.2831662.53270.006637
60.342693.06510.001483
70.2273972.03390.022638
8-0.028724-0.25690.398951
9-0.041617-0.37220.355352
100.0833530.74550.229068
110.3810133.40790.000514
120.6817756.0980
130.3110492.78210.003367
140.0307020.27460.392163
15-0.130381-1.16620.123506
16-0.145769-1.30380.098021
170.0989750.88530.189334
180.1134431.01470.156662
190.0327410.29280.3852
20-0.140239-1.25430.106686
21-0.194187-1.73690.043131
22-0.114584-1.02490.154256
230.143231.28110.101932
240.3658553.27230.000788
250.1092070.97680.165812
26-0.073073-0.65360.257627
27-0.254651-2.27770.012708
28-0.27272-2.43930.008465
29-0.086007-0.76930.221999
30-0.065321-0.58430.280347
31-0.108753-0.97270.166814
32-0.207553-1.85640.033538
33-0.271073-2.42460.008791
34-0.22751-2.03490.022586
35-0.013489-0.12060.452136
360.2037641.82250.036056
370.0266870.23870.405974
38-0.101995-0.91230.182184
39-0.269318-2.40890.00915
40-0.313685-2.80570.003151
41-0.13897-1.2430.108751
42-0.103421-0.9250.178868
43-0.123845-1.10770.135655
44-0.213877-1.9130.029665
45-0.280314-2.50720.007097
46-0.232711-2.08140.020296
47-0.028051-0.25090.401269
480.1249161.11730.133609

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.522399 & 4.6725 & 6e-06 \tabularnewline
2 & 0.178242 & 1.5942 & 0.057413 \tabularnewline
3 & 0.007607 & 0.068 & 0.47296 \tabularnewline
4 & -0.004581 & -0.041 & 0.483711 \tabularnewline
5 & 0.283166 & 2.5327 & 0.006637 \tabularnewline
6 & 0.34269 & 3.0651 & 0.001483 \tabularnewline
7 & 0.227397 & 2.0339 & 0.022638 \tabularnewline
8 & -0.028724 & -0.2569 & 0.398951 \tabularnewline
9 & -0.041617 & -0.3722 & 0.355352 \tabularnewline
10 & 0.083353 & 0.7455 & 0.229068 \tabularnewline
11 & 0.381013 & 3.4079 & 0.000514 \tabularnewline
12 & 0.681775 & 6.098 & 0 \tabularnewline
13 & 0.311049 & 2.7821 & 0.003367 \tabularnewline
14 & 0.030702 & 0.2746 & 0.392163 \tabularnewline
15 & -0.130381 & -1.1662 & 0.123506 \tabularnewline
16 & -0.145769 & -1.3038 & 0.098021 \tabularnewline
17 & 0.098975 & 0.8853 & 0.189334 \tabularnewline
18 & 0.113443 & 1.0147 & 0.156662 \tabularnewline
19 & 0.032741 & 0.2928 & 0.3852 \tabularnewline
20 & -0.140239 & -1.2543 & 0.106686 \tabularnewline
21 & -0.194187 & -1.7369 & 0.043131 \tabularnewline
22 & -0.114584 & -1.0249 & 0.154256 \tabularnewline
23 & 0.14323 & 1.2811 & 0.101932 \tabularnewline
24 & 0.365855 & 3.2723 & 0.000788 \tabularnewline
25 & 0.109207 & 0.9768 & 0.165812 \tabularnewline
26 & -0.073073 & -0.6536 & 0.257627 \tabularnewline
27 & -0.254651 & -2.2777 & 0.012708 \tabularnewline
28 & -0.27272 & -2.4393 & 0.008465 \tabularnewline
29 & -0.086007 & -0.7693 & 0.221999 \tabularnewline
30 & -0.065321 & -0.5843 & 0.280347 \tabularnewline
31 & -0.108753 & -0.9727 & 0.166814 \tabularnewline
32 & -0.207553 & -1.8564 & 0.033538 \tabularnewline
33 & -0.271073 & -2.4246 & 0.008791 \tabularnewline
34 & -0.22751 & -2.0349 & 0.022586 \tabularnewline
35 & -0.013489 & -0.1206 & 0.452136 \tabularnewline
36 & 0.203764 & 1.8225 & 0.036056 \tabularnewline
37 & 0.026687 & 0.2387 & 0.405974 \tabularnewline
38 & -0.101995 & -0.9123 & 0.182184 \tabularnewline
39 & -0.269318 & -2.4089 & 0.00915 \tabularnewline
40 & -0.313685 & -2.8057 & 0.003151 \tabularnewline
41 & -0.13897 & -1.243 & 0.108751 \tabularnewline
42 & -0.103421 & -0.925 & 0.178868 \tabularnewline
43 & -0.123845 & -1.1077 & 0.135655 \tabularnewline
44 & -0.213877 & -1.913 & 0.029665 \tabularnewline
45 & -0.280314 & -2.5072 & 0.007097 \tabularnewline
46 & -0.232711 & -2.0814 & 0.020296 \tabularnewline
47 & -0.028051 & -0.2509 & 0.401269 \tabularnewline
48 & 0.124916 & 1.1173 & 0.133609 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=40300&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]0.522399[/C][C]4.6725[/C][C]6e-06[/C][/ROW]
[ROW][C]2[/C][C]0.178242[/C][C]1.5942[/C][C]0.057413[/C][/ROW]
[ROW][C]3[/C][C]0.007607[/C][C]0.068[/C][C]0.47296[/C][/ROW]
[ROW][C]4[/C][C]-0.004581[/C][C]-0.041[/C][C]0.483711[/C][/ROW]
[ROW][C]5[/C][C]0.283166[/C][C]2.5327[/C][C]0.006637[/C][/ROW]
[ROW][C]6[/C][C]0.34269[/C][C]3.0651[/C][C]0.001483[/C][/ROW]
[ROW][C]7[/C][C]0.227397[/C][C]2.0339[/C][C]0.022638[/C][/ROW]
[ROW][C]8[/C][C]-0.028724[/C][C]-0.2569[/C][C]0.398951[/C][/ROW]
[ROW][C]9[/C][C]-0.041617[/C][C]-0.3722[/C][C]0.355352[/C][/ROW]
[ROW][C]10[/C][C]0.083353[/C][C]0.7455[/C][C]0.229068[/C][/ROW]
[ROW][C]11[/C][C]0.381013[/C][C]3.4079[/C][C]0.000514[/C][/ROW]
[ROW][C]12[/C][C]0.681775[/C][C]6.098[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]0.311049[/C][C]2.7821[/C][C]0.003367[/C][/ROW]
[ROW][C]14[/C][C]0.030702[/C][C]0.2746[/C][C]0.392163[/C][/ROW]
[ROW][C]15[/C][C]-0.130381[/C][C]-1.1662[/C][C]0.123506[/C][/ROW]
[ROW][C]16[/C][C]-0.145769[/C][C]-1.3038[/C][C]0.098021[/C][/ROW]
[ROW][C]17[/C][C]0.098975[/C][C]0.8853[/C][C]0.189334[/C][/ROW]
[ROW][C]18[/C][C]0.113443[/C][C]1.0147[/C][C]0.156662[/C][/ROW]
[ROW][C]19[/C][C]0.032741[/C][C]0.2928[/C][C]0.3852[/C][/ROW]
[ROW][C]20[/C][C]-0.140239[/C][C]-1.2543[/C][C]0.106686[/C][/ROW]
[ROW][C]21[/C][C]-0.194187[/C][C]-1.7369[/C][C]0.043131[/C][/ROW]
[ROW][C]22[/C][C]-0.114584[/C][C]-1.0249[/C][C]0.154256[/C][/ROW]
[ROW][C]23[/C][C]0.14323[/C][C]1.2811[/C][C]0.101932[/C][/ROW]
[ROW][C]24[/C][C]0.365855[/C][C]3.2723[/C][C]0.000788[/C][/ROW]
[ROW][C]25[/C][C]0.109207[/C][C]0.9768[/C][C]0.165812[/C][/ROW]
[ROW][C]26[/C][C]-0.073073[/C][C]-0.6536[/C][C]0.257627[/C][/ROW]
[ROW][C]27[/C][C]-0.254651[/C][C]-2.2777[/C][C]0.012708[/C][/ROW]
[ROW][C]28[/C][C]-0.27272[/C][C]-2.4393[/C][C]0.008465[/C][/ROW]
[ROW][C]29[/C][C]-0.086007[/C][C]-0.7693[/C][C]0.221999[/C][/ROW]
[ROW][C]30[/C][C]-0.065321[/C][C]-0.5843[/C][C]0.280347[/C][/ROW]
[ROW][C]31[/C][C]-0.108753[/C][C]-0.9727[/C][C]0.166814[/C][/ROW]
[ROW][C]32[/C][C]-0.207553[/C][C]-1.8564[/C][C]0.033538[/C][/ROW]
[ROW][C]33[/C][C]-0.271073[/C][C]-2.4246[/C][C]0.008791[/C][/ROW]
[ROW][C]34[/C][C]-0.22751[/C][C]-2.0349[/C][C]0.022586[/C][/ROW]
[ROW][C]35[/C][C]-0.013489[/C][C]-0.1206[/C][C]0.452136[/C][/ROW]
[ROW][C]36[/C][C]0.203764[/C][C]1.8225[/C][C]0.036056[/C][/ROW]
[ROW][C]37[/C][C]0.026687[/C][C]0.2387[/C][C]0.405974[/C][/ROW]
[ROW][C]38[/C][C]-0.101995[/C][C]-0.9123[/C][C]0.182184[/C][/ROW]
[ROW][C]39[/C][C]-0.269318[/C][C]-2.4089[/C][C]0.00915[/C][/ROW]
[ROW][C]40[/C][C]-0.313685[/C][C]-2.8057[/C][C]0.003151[/C][/ROW]
[ROW][C]41[/C][C]-0.13897[/C][C]-1.243[/C][C]0.108751[/C][/ROW]
[ROW][C]42[/C][C]-0.103421[/C][C]-0.925[/C][C]0.178868[/C][/ROW]
[ROW][C]43[/C][C]-0.123845[/C][C]-1.1077[/C][C]0.135655[/C][/ROW]
[ROW][C]44[/C][C]-0.213877[/C][C]-1.913[/C][C]0.029665[/C][/ROW]
[ROW][C]45[/C][C]-0.280314[/C][C]-2.5072[/C][C]0.007097[/C][/ROW]
[ROW][C]46[/C][C]-0.232711[/C][C]-2.0814[/C][C]0.020296[/C][/ROW]
[ROW][C]47[/C][C]-0.028051[/C][C]-0.2509[/C][C]0.401269[/C][/ROW]
[ROW][C]48[/C][C]0.124916[/C][C]1.1173[/C][C]0.133609[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=40300&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=40300&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
10.5223994.67256e-06
20.1782421.59420.057413
30.0076070.0680.47296
4-0.004581-0.0410.483711
50.2831662.53270.006637
60.342693.06510.001483
70.2273972.03390.022638
8-0.028724-0.25690.398951
9-0.041617-0.37220.355352
100.0833530.74550.229068
110.3810133.40790.000514
120.6817756.0980
130.3110492.78210.003367
140.0307020.27460.392163
15-0.130381-1.16620.123506
16-0.145769-1.30380.098021
170.0989750.88530.189334
180.1134431.01470.156662
190.0327410.29280.3852
20-0.140239-1.25430.106686
21-0.194187-1.73690.043131
22-0.114584-1.02490.154256
230.143231.28110.101932
240.3658553.27230.000788
250.1092070.97680.165812
26-0.073073-0.65360.257627
27-0.254651-2.27770.012708
28-0.27272-2.43930.008465
29-0.086007-0.76930.221999
30-0.065321-0.58430.280347
31-0.108753-0.97270.166814
32-0.207553-1.85640.033538
33-0.271073-2.42460.008791
34-0.22751-2.03490.022586
35-0.013489-0.12060.452136
360.2037641.82250.036056
370.0266870.23870.405974
38-0.101995-0.91230.182184
39-0.269318-2.40890.00915
40-0.313685-2.80570.003151
41-0.13897-1.2430.108751
42-0.103421-0.9250.178868
43-0.123845-1.10770.135655
44-0.213877-1.9130.029665
45-0.280314-2.50720.007097
46-0.232711-2.08140.020296
47-0.028051-0.25090.401269
480.1249161.11730.133609







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.5223994.67256e-06
2-0.130187-1.16440.123855
3-0.041437-0.37060.355948
40.0440890.39430.347188
50.3869543.4610.000433
60.0193060.17270.43167
7-0.034516-0.30870.379167
8-0.197898-1.77010.040264
90.2156121.92850.028671
100.048370.43260.333224
110.3592313.21310.000947
120.4249313.80070.00014
13-0.366176-3.27520.000781
14-0.113626-1.01630.156276
15-0.072865-0.65170.258223
16-0.14793-1.32310.094781
17-0.164202-1.46870.072922
18-0.138378-1.23770.109725
190.0691370.61840.269041
200.0290240.25960.39792
21-0.119592-1.06970.143995
22-0.107662-0.9630.169234
230.0503540.45040.326827
240.029010.25950.397969
25-0.039595-0.35420.362079
260.0794180.71030.23978
27-0.048679-0.43540.332223
28-0.023021-0.20590.418694
29-0.109999-0.98390.164074
300.0189840.16980.432798
31-0.089157-0.79740.213777
320.0334240.2990.382875
33-0.006183-0.05530.478018
34-0.008507-0.07610.469769
35-0.066979-0.59910.275406
360.1466691.31190.096661
37-0.106737-0.95470.171306
380.0012950.01160.495394
39-0.007239-0.06470.474269
40-0.011104-0.09930.460569
41-0.001616-0.01450.494253
420.0201060.17980.428869
43-0.092943-0.83130.204136
44-0.072926-0.65230.258049
45-0.039623-0.35440.361987
460.0603680.53990.295367
47-0.00531-0.04750.481119
48-0.157121-1.40530.081897

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.522399 & 4.6725 & 6e-06 \tabularnewline
2 & -0.130187 & -1.1644 & 0.123855 \tabularnewline
3 & -0.041437 & -0.3706 & 0.355948 \tabularnewline
4 & 0.044089 & 0.3943 & 0.347188 \tabularnewline
5 & 0.386954 & 3.461 & 0.000433 \tabularnewline
6 & 0.019306 & 0.1727 & 0.43167 \tabularnewline
7 & -0.034516 & -0.3087 & 0.379167 \tabularnewline
8 & -0.197898 & -1.7701 & 0.040264 \tabularnewline
9 & 0.215612 & 1.9285 & 0.028671 \tabularnewline
10 & 0.04837 & 0.4326 & 0.333224 \tabularnewline
11 & 0.359231 & 3.2131 & 0.000947 \tabularnewline
12 & 0.424931 & 3.8007 & 0.00014 \tabularnewline
13 & -0.366176 & -3.2752 & 0.000781 \tabularnewline
14 & -0.113626 & -1.0163 & 0.156276 \tabularnewline
15 & -0.072865 & -0.6517 & 0.258223 \tabularnewline
16 & -0.14793 & -1.3231 & 0.094781 \tabularnewline
17 & -0.164202 & -1.4687 & 0.072922 \tabularnewline
18 & -0.138378 & -1.2377 & 0.109725 \tabularnewline
19 & 0.069137 & 0.6184 & 0.269041 \tabularnewline
20 & 0.029024 & 0.2596 & 0.39792 \tabularnewline
21 & -0.119592 & -1.0697 & 0.143995 \tabularnewline
22 & -0.107662 & -0.963 & 0.169234 \tabularnewline
23 & 0.050354 & 0.4504 & 0.326827 \tabularnewline
24 & 0.02901 & 0.2595 & 0.397969 \tabularnewline
25 & -0.039595 & -0.3542 & 0.362079 \tabularnewline
26 & 0.079418 & 0.7103 & 0.23978 \tabularnewline
27 & -0.048679 & -0.4354 & 0.332223 \tabularnewline
28 & -0.023021 & -0.2059 & 0.418694 \tabularnewline
29 & -0.109999 & -0.9839 & 0.164074 \tabularnewline
30 & 0.018984 & 0.1698 & 0.432798 \tabularnewline
31 & -0.089157 & -0.7974 & 0.213777 \tabularnewline
32 & 0.033424 & 0.299 & 0.382875 \tabularnewline
33 & -0.006183 & -0.0553 & 0.478018 \tabularnewline
34 & -0.008507 & -0.0761 & 0.469769 \tabularnewline
35 & -0.066979 & -0.5991 & 0.275406 \tabularnewline
36 & 0.146669 & 1.3119 & 0.096661 \tabularnewline
37 & -0.106737 & -0.9547 & 0.171306 \tabularnewline
38 & 0.001295 & 0.0116 & 0.495394 \tabularnewline
39 & -0.007239 & -0.0647 & 0.474269 \tabularnewline
40 & -0.011104 & -0.0993 & 0.460569 \tabularnewline
41 & -0.001616 & -0.0145 & 0.494253 \tabularnewline
42 & 0.020106 & 0.1798 & 0.428869 \tabularnewline
43 & -0.092943 & -0.8313 & 0.204136 \tabularnewline
44 & -0.072926 & -0.6523 & 0.258049 \tabularnewline
45 & -0.039623 & -0.3544 & 0.361987 \tabularnewline
46 & 0.060368 & 0.5399 & 0.295367 \tabularnewline
47 & -0.00531 & -0.0475 & 0.481119 \tabularnewline
48 & -0.157121 & -1.4053 & 0.081897 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=40300&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]0.522399[/C][C]4.6725[/C][C]6e-06[/C][/ROW]
[ROW][C]2[/C][C]-0.130187[/C][C]-1.1644[/C][C]0.123855[/C][/ROW]
[ROW][C]3[/C][C]-0.041437[/C][C]-0.3706[/C][C]0.355948[/C][/ROW]
[ROW][C]4[/C][C]0.044089[/C][C]0.3943[/C][C]0.347188[/C][/ROW]
[ROW][C]5[/C][C]0.386954[/C][C]3.461[/C][C]0.000433[/C][/ROW]
[ROW][C]6[/C][C]0.019306[/C][C]0.1727[/C][C]0.43167[/C][/ROW]
[ROW][C]7[/C][C]-0.034516[/C][C]-0.3087[/C][C]0.379167[/C][/ROW]
[ROW][C]8[/C][C]-0.197898[/C][C]-1.7701[/C][C]0.040264[/C][/ROW]
[ROW][C]9[/C][C]0.215612[/C][C]1.9285[/C][C]0.028671[/C][/ROW]
[ROW][C]10[/C][C]0.04837[/C][C]0.4326[/C][C]0.333224[/C][/ROW]
[ROW][C]11[/C][C]0.359231[/C][C]3.2131[/C][C]0.000947[/C][/ROW]
[ROW][C]12[/C][C]0.424931[/C][C]3.8007[/C][C]0.00014[/C][/ROW]
[ROW][C]13[/C][C]-0.366176[/C][C]-3.2752[/C][C]0.000781[/C][/ROW]
[ROW][C]14[/C][C]-0.113626[/C][C]-1.0163[/C][C]0.156276[/C][/ROW]
[ROW][C]15[/C][C]-0.072865[/C][C]-0.6517[/C][C]0.258223[/C][/ROW]
[ROW][C]16[/C][C]-0.14793[/C][C]-1.3231[/C][C]0.094781[/C][/ROW]
[ROW][C]17[/C][C]-0.164202[/C][C]-1.4687[/C][C]0.072922[/C][/ROW]
[ROW][C]18[/C][C]-0.138378[/C][C]-1.2377[/C][C]0.109725[/C][/ROW]
[ROW][C]19[/C][C]0.069137[/C][C]0.6184[/C][C]0.269041[/C][/ROW]
[ROW][C]20[/C][C]0.029024[/C][C]0.2596[/C][C]0.39792[/C][/ROW]
[ROW][C]21[/C][C]-0.119592[/C][C]-1.0697[/C][C]0.143995[/C][/ROW]
[ROW][C]22[/C][C]-0.107662[/C][C]-0.963[/C][C]0.169234[/C][/ROW]
[ROW][C]23[/C][C]0.050354[/C][C]0.4504[/C][C]0.326827[/C][/ROW]
[ROW][C]24[/C][C]0.02901[/C][C]0.2595[/C][C]0.397969[/C][/ROW]
[ROW][C]25[/C][C]-0.039595[/C][C]-0.3542[/C][C]0.362079[/C][/ROW]
[ROW][C]26[/C][C]0.079418[/C][C]0.7103[/C][C]0.23978[/C][/ROW]
[ROW][C]27[/C][C]-0.048679[/C][C]-0.4354[/C][C]0.332223[/C][/ROW]
[ROW][C]28[/C][C]-0.023021[/C][C]-0.2059[/C][C]0.418694[/C][/ROW]
[ROW][C]29[/C][C]-0.109999[/C][C]-0.9839[/C][C]0.164074[/C][/ROW]
[ROW][C]30[/C][C]0.018984[/C][C]0.1698[/C][C]0.432798[/C][/ROW]
[ROW][C]31[/C][C]-0.089157[/C][C]-0.7974[/C][C]0.213777[/C][/ROW]
[ROW][C]32[/C][C]0.033424[/C][C]0.299[/C][C]0.382875[/C][/ROW]
[ROW][C]33[/C][C]-0.006183[/C][C]-0.0553[/C][C]0.478018[/C][/ROW]
[ROW][C]34[/C][C]-0.008507[/C][C]-0.0761[/C][C]0.469769[/C][/ROW]
[ROW][C]35[/C][C]-0.066979[/C][C]-0.5991[/C][C]0.275406[/C][/ROW]
[ROW][C]36[/C][C]0.146669[/C][C]1.3119[/C][C]0.096661[/C][/ROW]
[ROW][C]37[/C][C]-0.106737[/C][C]-0.9547[/C][C]0.171306[/C][/ROW]
[ROW][C]38[/C][C]0.001295[/C][C]0.0116[/C][C]0.495394[/C][/ROW]
[ROW][C]39[/C][C]-0.007239[/C][C]-0.0647[/C][C]0.474269[/C][/ROW]
[ROW][C]40[/C][C]-0.011104[/C][C]-0.0993[/C][C]0.460569[/C][/ROW]
[ROW][C]41[/C][C]-0.001616[/C][C]-0.0145[/C][C]0.494253[/C][/ROW]
[ROW][C]42[/C][C]0.020106[/C][C]0.1798[/C][C]0.428869[/C][/ROW]
[ROW][C]43[/C][C]-0.092943[/C][C]-0.8313[/C][C]0.204136[/C][/ROW]
[ROW][C]44[/C][C]-0.072926[/C][C]-0.6523[/C][C]0.258049[/C][/ROW]
[ROW][C]45[/C][C]-0.039623[/C][C]-0.3544[/C][C]0.361987[/C][/ROW]
[ROW][C]46[/C][C]0.060368[/C][C]0.5399[/C][C]0.295367[/C][/ROW]
[ROW][C]47[/C][C]-0.00531[/C][C]-0.0475[/C][C]0.481119[/C][/ROW]
[ROW][C]48[/C][C]-0.157121[/C][C]-1.4053[/C][C]0.081897[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=40300&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=40300&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
10.5223994.67256e-06
2-0.130187-1.16440.123855
3-0.041437-0.37060.355948
40.0440890.39430.347188
50.3869543.4610.000433
60.0193060.17270.43167
7-0.034516-0.30870.379167
8-0.197898-1.77010.040264
90.2156121.92850.028671
100.048370.43260.333224
110.3592313.21310.000947
120.4249313.80070.00014
13-0.366176-3.27520.000781
14-0.113626-1.01630.156276
15-0.072865-0.65170.258223
16-0.14793-1.32310.094781
17-0.164202-1.46870.072922
18-0.138378-1.23770.109725
190.0691370.61840.269041
200.0290240.25960.39792
21-0.119592-1.06970.143995
22-0.107662-0.9630.169234
230.0503540.45040.326827
240.029010.25950.397969
25-0.039595-0.35420.362079
260.0794180.71030.23978
27-0.048679-0.43540.332223
28-0.023021-0.20590.418694
29-0.109999-0.98390.164074
300.0189840.16980.432798
31-0.089157-0.79740.213777
320.0334240.2990.382875
33-0.006183-0.05530.478018
34-0.008507-0.07610.469769
35-0.066979-0.59910.275406
360.1466691.31190.096661
37-0.106737-0.95470.171306
380.0012950.01160.495394
39-0.007239-0.06470.474269
40-0.011104-0.09930.460569
41-0.001616-0.01450.494253
420.0201060.17980.428869
43-0.092943-0.83130.204136
44-0.072926-0.65230.258049
45-0.039623-0.35440.361987
460.0603680.53990.295367
47-0.00531-0.04750.481119
48-0.157121-1.40530.081897



Parameters (Session):
par1 = 48 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ;
Parameters (R input):
par1 = 48 ; 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')