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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationThu, 01 Dec 2011 16:04:09 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Dec/01/t1322773507gnzvpphbswwbour.htm/, Retrieved Fri, 29 Mar 2024 15:54:37 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=149999, Retrieved Fri, 29 Mar 2024 15:54:37 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact114
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [data set] [2008-12-01 19:54:57] [b98453cac15ba1066b407e146608df68]
- RMP   [(Partial) Autocorrelation Function] [Unemployment] [2010-11-29 09:05:21] [b98453cac15ba1066b407e146608df68]
-    D    [(Partial) Autocorrelation Function] [WS 9 Autocorrelatie ] [2010-12-03 12:44:11] [8081b8996d5947580de3eb171e82db4f]
-   P       [(Partial) Autocorrelation Function] [Verbetering WS9] [2010-12-14 19:15:43] [3635fb7041b1998c5a1332cf9de22bce]
- R PD          [(Partial) Autocorrelation Function] [WS 9 AFC ] [2011-12-01 21:04:09] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'AstonUniversity' @ aston.wessa.net

\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 & 2 seconds \tabularnewline
R Server & 'AstonUniversity' @ aston.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=149999&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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'AstonUniversity' @ aston.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=149999&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=149999&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 time2 seconds
R Server'AstonUniversity' @ aston.wessa.net







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.94804711.37660
20.87557510.50690
30.8066819.68020
40.7526259.03150
50.713778.56520
60.6817348.18080
70.6629047.95490
80.655617.86730
90.6709488.05140
100.702728.43260
110.743248.91890
120.7603959.12470
130.7126618.55190
140.6463427.75610
150.5859237.03110
160.5379556.45550
170.4997485.9970
180.4687345.62480
190.4498715.39840
200.4416295.29950
210.4572245.48670
220.4824825.78980
230.5171276.20550
240.532196.38630
250.4939765.92770
260.4377215.25270
270.3876034.65124e-06
280.3480254.17632.6e-05
290.3149843.77980.000115
300.2884973.4620.000353
310.2708023.24960.000719
320.264293.17150.000927
330.2767993.32160.000567
340.2985213.58230.000233
350.3255873.9077.2e-05
360.3370244.04434.3e-05

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.948047 & 11.3766 & 0 \tabularnewline
2 & 0.875575 & 10.5069 & 0 \tabularnewline
3 & 0.806681 & 9.6802 & 0 \tabularnewline
4 & 0.752625 & 9.0315 & 0 \tabularnewline
5 & 0.71377 & 8.5652 & 0 \tabularnewline
6 & 0.681734 & 8.1808 & 0 \tabularnewline
7 & 0.662904 & 7.9549 & 0 \tabularnewline
8 & 0.65561 & 7.8673 & 0 \tabularnewline
9 & 0.670948 & 8.0514 & 0 \tabularnewline
10 & 0.70272 & 8.4326 & 0 \tabularnewline
11 & 0.74324 & 8.9189 & 0 \tabularnewline
12 & 0.760395 & 9.1247 & 0 \tabularnewline
13 & 0.712661 & 8.5519 & 0 \tabularnewline
14 & 0.646342 & 7.7561 & 0 \tabularnewline
15 & 0.585923 & 7.0311 & 0 \tabularnewline
16 & 0.537955 & 6.4555 & 0 \tabularnewline
17 & 0.499748 & 5.997 & 0 \tabularnewline
18 & 0.468734 & 5.6248 & 0 \tabularnewline
19 & 0.449871 & 5.3984 & 0 \tabularnewline
20 & 0.441629 & 5.2995 & 0 \tabularnewline
21 & 0.457224 & 5.4867 & 0 \tabularnewline
22 & 0.482482 & 5.7898 & 0 \tabularnewline
23 & 0.517127 & 6.2055 & 0 \tabularnewline
24 & 0.53219 & 6.3863 & 0 \tabularnewline
25 & 0.493976 & 5.9277 & 0 \tabularnewline
26 & 0.437721 & 5.2527 & 0 \tabularnewline
27 & 0.387603 & 4.6512 & 4e-06 \tabularnewline
28 & 0.348025 & 4.1763 & 2.6e-05 \tabularnewline
29 & 0.314984 & 3.7798 & 0.000115 \tabularnewline
30 & 0.288497 & 3.462 & 0.000353 \tabularnewline
31 & 0.270802 & 3.2496 & 0.000719 \tabularnewline
32 & 0.26429 & 3.1715 & 0.000927 \tabularnewline
33 & 0.276799 & 3.3216 & 0.000567 \tabularnewline
34 & 0.298521 & 3.5823 & 0.000233 \tabularnewline
35 & 0.325587 & 3.907 & 7.2e-05 \tabularnewline
36 & 0.337024 & 4.0443 & 4.3e-05 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=149999&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]0.948047[/C][C]11.3766[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.875575[/C][C]10.5069[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.806681[/C][C]9.6802[/C][C]0[/C][/ROW]
[ROW][C]4[/C][C]0.752625[/C][C]9.0315[/C][C]0[/C][/ROW]
[ROW][C]5[/C][C]0.71377[/C][C]8.5652[/C][C]0[/C][/ROW]
[ROW][C]6[/C][C]0.681734[/C][C]8.1808[/C][C]0[/C][/ROW]
[ROW][C]7[/C][C]0.662904[/C][C]7.9549[/C][C]0[/C][/ROW]
[ROW][C]8[/C][C]0.65561[/C][C]7.8673[/C][C]0[/C][/ROW]
[ROW][C]9[/C][C]0.670948[/C][C]8.0514[/C][C]0[/C][/ROW]
[ROW][C]10[/C][C]0.70272[/C][C]8.4326[/C][C]0[/C][/ROW]
[ROW][C]11[/C][C]0.74324[/C][C]8.9189[/C][C]0[/C][/ROW]
[ROW][C]12[/C][C]0.760395[/C][C]9.1247[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]0.712661[/C][C]8.5519[/C][C]0[/C][/ROW]
[ROW][C]14[/C][C]0.646342[/C][C]7.7561[/C][C]0[/C][/ROW]
[ROW][C]15[/C][C]0.585923[/C][C]7.0311[/C][C]0[/C][/ROW]
[ROW][C]16[/C][C]0.537955[/C][C]6.4555[/C][C]0[/C][/ROW]
[ROW][C]17[/C][C]0.499748[/C][C]5.997[/C][C]0[/C][/ROW]
[ROW][C]18[/C][C]0.468734[/C][C]5.6248[/C][C]0[/C][/ROW]
[ROW][C]19[/C][C]0.449871[/C][C]5.3984[/C][C]0[/C][/ROW]
[ROW][C]20[/C][C]0.441629[/C][C]5.2995[/C][C]0[/C][/ROW]
[ROW][C]21[/C][C]0.457224[/C][C]5.4867[/C][C]0[/C][/ROW]
[ROW][C]22[/C][C]0.482482[/C][C]5.7898[/C][C]0[/C][/ROW]
[ROW][C]23[/C][C]0.517127[/C][C]6.2055[/C][C]0[/C][/ROW]
[ROW][C]24[/C][C]0.53219[/C][C]6.3863[/C][C]0[/C][/ROW]
[ROW][C]25[/C][C]0.493976[/C][C]5.9277[/C][C]0[/C][/ROW]
[ROW][C]26[/C][C]0.437721[/C][C]5.2527[/C][C]0[/C][/ROW]
[ROW][C]27[/C][C]0.387603[/C][C]4.6512[/C][C]4e-06[/C][/ROW]
[ROW][C]28[/C][C]0.348025[/C][C]4.1763[/C][C]2.6e-05[/C][/ROW]
[ROW][C]29[/C][C]0.314984[/C][C]3.7798[/C][C]0.000115[/C][/ROW]
[ROW][C]30[/C][C]0.288497[/C][C]3.462[/C][C]0.000353[/C][/ROW]
[ROW][C]31[/C][C]0.270802[/C][C]3.2496[/C][C]0.000719[/C][/ROW]
[ROW][C]32[/C][C]0.26429[/C][C]3.1715[/C][C]0.000927[/C][/ROW]
[ROW][C]33[/C][C]0.276799[/C][C]3.3216[/C][C]0.000567[/C][/ROW]
[ROW][C]34[/C][C]0.298521[/C][C]3.5823[/C][C]0.000233[/C][/ROW]
[ROW][C]35[/C][C]0.325587[/C][C]3.907[/C][C]7.2e-05[/C][/ROW]
[ROW][C]36[/C][C]0.337024[/C][C]4.0443[/C][C]4.3e-05[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=149999&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=149999&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
10.94804711.37660
20.87557510.50690
30.8066819.68020
40.7526259.03150
50.713778.56520
60.6817348.18080
70.6629047.95490
80.655617.86730
90.6709488.05140
100.702728.43260
110.743248.91890
120.7603959.12470
130.7126618.55190
140.6463427.75610
150.5859237.03110
160.5379556.45550
170.4997485.9970
180.4687345.62480
190.4498715.39840
200.4416295.29950
210.4572245.48670
220.4824825.78980
230.5171276.20550
240.532196.38630
250.4939765.92770
260.4377215.25270
270.3876034.65124e-06
280.3480254.17632.6e-05
290.3149843.77980.000115
300.2884973.4620.000353
310.2708023.24960.000719
320.264293.17150.000927
330.2767993.32160.000567
340.2985213.58230.000233
350.3255873.9077.2e-05
360.3370244.04434.3e-05







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.94804711.37660
2-0.229422-2.75310.003332
30.0381480.45780.323903
40.0937851.12540.131141
50.0736070.88330.189279
60.0077280.09270.463123
70.1255971.50720.066979
80.0899511.07940.141103
90.2324892.78990.002994
100.1660511.99260.024097
110.1712742.05530.020829
12-0.135431-1.62520.053156
13-0.539691-6.47630
14-0.02661-0.31930.374973
150.0907651.08920.138947
160.0249560.29950.382508
170.0325160.39020.348487
180.0734330.88120.189841
190.0484420.58130.280972
20-0.045542-0.54650.292784
210.0457530.5490.291916
22-0.100179-1.20210.11564
230.0524350.62920.265101
240.0480140.57620.2827
25-0.162746-1.9530.026382
26-0.036135-0.43360.332607
270.0664240.79710.213357
280.0061760.07410.470511
290.0075370.09040.464029
300.019350.23220.408354
31-0.010251-0.1230.451132
32-0.01831-0.21970.413199
33-0.029001-0.3480.364168
34-0.014805-0.17770.42962
35-0.047725-0.57270.283872
360.0462040.55440.290068

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.948047 & 11.3766 & 0 \tabularnewline
2 & -0.229422 & -2.7531 & 0.003332 \tabularnewline
3 & 0.038148 & 0.4578 & 0.323903 \tabularnewline
4 & 0.093785 & 1.1254 & 0.131141 \tabularnewline
5 & 0.073607 & 0.8833 & 0.189279 \tabularnewline
6 & 0.007728 & 0.0927 & 0.463123 \tabularnewline
7 & 0.125597 & 1.5072 & 0.066979 \tabularnewline
8 & 0.089951 & 1.0794 & 0.141103 \tabularnewline
9 & 0.232489 & 2.7899 & 0.002994 \tabularnewline
10 & 0.166051 & 1.9926 & 0.024097 \tabularnewline
11 & 0.171274 & 2.0553 & 0.020829 \tabularnewline
12 & -0.135431 & -1.6252 & 0.053156 \tabularnewline
13 & -0.539691 & -6.4763 & 0 \tabularnewline
14 & -0.02661 & -0.3193 & 0.374973 \tabularnewline
15 & 0.090765 & 1.0892 & 0.138947 \tabularnewline
16 & 0.024956 & 0.2995 & 0.382508 \tabularnewline
17 & 0.032516 & 0.3902 & 0.348487 \tabularnewline
18 & 0.073433 & 0.8812 & 0.189841 \tabularnewline
19 & 0.048442 & 0.5813 & 0.280972 \tabularnewline
20 & -0.045542 & -0.5465 & 0.292784 \tabularnewline
21 & 0.045753 & 0.549 & 0.291916 \tabularnewline
22 & -0.100179 & -1.2021 & 0.11564 \tabularnewline
23 & 0.052435 & 0.6292 & 0.265101 \tabularnewline
24 & 0.048014 & 0.5762 & 0.2827 \tabularnewline
25 & -0.162746 & -1.953 & 0.026382 \tabularnewline
26 & -0.036135 & -0.4336 & 0.332607 \tabularnewline
27 & 0.066424 & 0.7971 & 0.213357 \tabularnewline
28 & 0.006176 & 0.0741 & 0.470511 \tabularnewline
29 & 0.007537 & 0.0904 & 0.464029 \tabularnewline
30 & 0.01935 & 0.2322 & 0.408354 \tabularnewline
31 & -0.010251 & -0.123 & 0.451132 \tabularnewline
32 & -0.01831 & -0.2197 & 0.413199 \tabularnewline
33 & -0.029001 & -0.348 & 0.364168 \tabularnewline
34 & -0.014805 & -0.1777 & 0.42962 \tabularnewline
35 & -0.047725 & -0.5727 & 0.283872 \tabularnewline
36 & 0.046204 & 0.5544 & 0.290068 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=149999&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]0.948047[/C][C]11.3766[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]-0.229422[/C][C]-2.7531[/C][C]0.003332[/C][/ROW]
[ROW][C]3[/C][C]0.038148[/C][C]0.4578[/C][C]0.323903[/C][/ROW]
[ROW][C]4[/C][C]0.093785[/C][C]1.1254[/C][C]0.131141[/C][/ROW]
[ROW][C]5[/C][C]0.073607[/C][C]0.8833[/C][C]0.189279[/C][/ROW]
[ROW][C]6[/C][C]0.007728[/C][C]0.0927[/C][C]0.463123[/C][/ROW]
[ROW][C]7[/C][C]0.125597[/C][C]1.5072[/C][C]0.066979[/C][/ROW]
[ROW][C]8[/C][C]0.089951[/C][C]1.0794[/C][C]0.141103[/C][/ROW]
[ROW][C]9[/C][C]0.232489[/C][C]2.7899[/C][C]0.002994[/C][/ROW]
[ROW][C]10[/C][C]0.166051[/C][C]1.9926[/C][C]0.024097[/C][/ROW]
[ROW][C]11[/C][C]0.171274[/C][C]2.0553[/C][C]0.020829[/C][/ROW]
[ROW][C]12[/C][C]-0.135431[/C][C]-1.6252[/C][C]0.053156[/C][/ROW]
[ROW][C]13[/C][C]-0.539691[/C][C]-6.4763[/C][C]0[/C][/ROW]
[ROW][C]14[/C][C]-0.02661[/C][C]-0.3193[/C][C]0.374973[/C][/ROW]
[ROW][C]15[/C][C]0.090765[/C][C]1.0892[/C][C]0.138947[/C][/ROW]
[ROW][C]16[/C][C]0.024956[/C][C]0.2995[/C][C]0.382508[/C][/ROW]
[ROW][C]17[/C][C]0.032516[/C][C]0.3902[/C][C]0.348487[/C][/ROW]
[ROW][C]18[/C][C]0.073433[/C][C]0.8812[/C][C]0.189841[/C][/ROW]
[ROW][C]19[/C][C]0.048442[/C][C]0.5813[/C][C]0.280972[/C][/ROW]
[ROW][C]20[/C][C]-0.045542[/C][C]-0.5465[/C][C]0.292784[/C][/ROW]
[ROW][C]21[/C][C]0.045753[/C][C]0.549[/C][C]0.291916[/C][/ROW]
[ROW][C]22[/C][C]-0.100179[/C][C]-1.2021[/C][C]0.11564[/C][/ROW]
[ROW][C]23[/C][C]0.052435[/C][C]0.6292[/C][C]0.265101[/C][/ROW]
[ROW][C]24[/C][C]0.048014[/C][C]0.5762[/C][C]0.2827[/C][/ROW]
[ROW][C]25[/C][C]-0.162746[/C][C]-1.953[/C][C]0.026382[/C][/ROW]
[ROW][C]26[/C][C]-0.036135[/C][C]-0.4336[/C][C]0.332607[/C][/ROW]
[ROW][C]27[/C][C]0.066424[/C][C]0.7971[/C][C]0.213357[/C][/ROW]
[ROW][C]28[/C][C]0.006176[/C][C]0.0741[/C][C]0.470511[/C][/ROW]
[ROW][C]29[/C][C]0.007537[/C][C]0.0904[/C][C]0.464029[/C][/ROW]
[ROW][C]30[/C][C]0.01935[/C][C]0.2322[/C][C]0.408354[/C][/ROW]
[ROW][C]31[/C][C]-0.010251[/C][C]-0.123[/C][C]0.451132[/C][/ROW]
[ROW][C]32[/C][C]-0.01831[/C][C]-0.2197[/C][C]0.413199[/C][/ROW]
[ROW][C]33[/C][C]-0.029001[/C][C]-0.348[/C][C]0.364168[/C][/ROW]
[ROW][C]34[/C][C]-0.014805[/C][C]-0.1777[/C][C]0.42962[/C][/ROW]
[ROW][C]35[/C][C]-0.047725[/C][C]-0.5727[/C][C]0.283872[/C][/ROW]
[ROW][C]36[/C][C]0.046204[/C][C]0.5544[/C][C]0.290068[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=149999&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=149999&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
10.94804711.37660
2-0.229422-2.75310.003332
30.0381480.45780.323903
40.0937851.12540.131141
50.0736070.88330.189279
60.0077280.09270.463123
70.1255971.50720.066979
80.0899511.07940.141103
90.2324892.78990.002994
100.1660511.99260.024097
110.1712742.05530.020829
12-0.135431-1.62520.053156
13-0.539691-6.47630
14-0.02661-0.31930.374973
150.0907651.08920.138947
160.0249560.29950.382508
170.0325160.39020.348487
180.0734330.88120.189841
190.0484420.58130.280972
20-0.045542-0.54650.292784
210.0457530.5490.291916
22-0.100179-1.20210.11564
230.0524350.62920.265101
240.0480140.57620.2827
25-0.162746-1.9530.026382
26-0.036135-0.43360.332607
270.0664240.79710.213357
280.0061760.07410.470511
290.0075370.09040.464029
300.019350.23220.408354
31-0.010251-0.1230.451132
32-0.01831-0.21970.413199
33-0.029001-0.3480.364168
34-0.014805-0.17770.42962
35-0.047725-0.57270.283872
360.0462040.55440.290068



Parameters (Session):
par1 = 36 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ;
Parameters (R input):
par1 = 36 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ; par8 = ;
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 (par6 == 'White Noise') par6 <- 'white' else par6 <- 'ma'
par7 <- as.numeric(par7)
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='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep=''))
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')