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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 computationTue, 23 Nov 2010 15:12:38 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Nov/23/t1290525134bn6ohzb2uwy635y.htm/, Retrieved Fri, 29 Mar 2024 06:27:59 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=99241, Retrieved Fri, 29 Mar 2024 06:27:59 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact106
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [FLA autocorrellation] [2010-11-23 15:12:38] [f76239c595e4d455b3b05a43389f68d5] [Current]
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Dataseries X:
0.0060913893934256
-0.0060913893933763
2.5757174171304E-14
2.5757174171304E-14
2.5757174171304E-14
0.016161967957026
-0.016161967956973
2.5757174171304E-14
2.5757174171304E-14
0.016161967957026
-0.016161967956973
2.5757174171304E-14
2.5757174171304E-14
2.5757174171304E-14
0.016161967957026
2.7089441800854E-14
0.0040000053333271
-1.8651746813703E-14
-0.018127384592519
3.8191672047105E-14
-0.0020345886977617
-0.016427474141974
-2.6645352591004E-14
-2.6645352591004E-14
0.0010346612407734
-2.6645352591004E-15
-0.0010346612408028
0.0010346612407734
-2.6645352591004E-15
-2.6645352591004E-15
-2.6645352591004E-15
-0.0010346612408028
-2.6645352591004E-14
0.0010346612407734
-2.6645352591004E-15
-0.0010346612408028
-2.6645352591004E-14
-2.6645352591004E-14
-2.6645352591004E-14
-2.6645352591004E-14
-2.6645352591004E-14
0.0010346612407734
-2.6645352591004E-15
-0.0010346612408028
-2.6645352591004E-14
-2.6645352591004E-14
-2.6645352591004E-14
-2.6645352591004E-14
-2.6645352591004E-14
-2.6645352591004E-14
-2.6645352591004E-14
-2.6645352591004E-14
-2.6645352591004E-14
-2.6645352591004E-14
-2.6645352591004E-14
-2.6645352591004E-14
0.0010346612407734
-2.6645352591004E-15
-0.0010346612408028
0.0010346612407734
-2.6645352591004E-15
-2.6645352591004E-15
-0.0010346612408028
-2.6645352591004E-14
-2.6645352591004E-14
0.0010346612407734
-2.6645352591004E-15
-2.6645352591004E-15
-2.6645352591004E-15
-0.0010346612408028
-0.070769070888227
-0.01342302033212
-0.018182319083179
1.1546319456102E-14
1.1546319456102E-14
1.1546319456102E-14
1.1546319456102E-14
0.018182319083212
2.1316282072803E-14
2.1316282072803E-14
-0.018182319083179
0.018182319083212
2.1316282072803E-14
2.1316282072803E-14
-0.018182319083179
0.018182319083212
2.1316282072803E-14
-0.42078455664168
-1.1102230246252E-15
-1.1102230246252E-15
-1.1102230246252E-15
-1.1102230246252E-15
-1.1102230246252E-15
-1.1102230246252E-15
-1.1102230246252E-15
-1.1102230246252E-15
-1.1102230246252E-15
-1.1102230246252E-15
-1.1102230246252E-15
-1.1102230246252E-15
-1.1102230246252E-15
-0.005159082810001
2.6423307986079E-14
2.6423307986079E-14
2.6423307986079E-14
2.6423307986079E-14
2.6423307986079E-14
2.6423307986079E-14
2.6423307986079E-14
2.6423307986079E-14
2.6423307986079E-14
2.6423307986079E-14
2.6423307986079E-14
2.6423307986079E-14
2.6423307986079E-14
2.6423307986079E-14
2.6423307986079E-14
2.6423307986079E-14
2.6423307986079E-14
2.6423307986079E-14
2.6423307986079E-14
2.6423307986079E-14
2.6423307986079E-14
2.6423307986079E-14
2.6423307986079E-14
2.6423307986079E-14
2.6423307986079E-14
2.6423307986079E-14
2.6423307986079E-14
2.6423307986079E-14
2.6423307986079E-14
-0.053109825313974
-0.059943035967025
8.4376949871512E-15
8.4376949871512E-15
8.4376949871512E-15
8.4376949871512E-15
8.4376949871512E-15
8.4376949871512E-15
8.4376949871512E-15
8.4376949871512E-15
8.4376949871512E-15
0.30110509278391
-1.3322676295502E-14
0.21970908886559
1.1546319456102E-14
1.1546319456102E-14
1.1546319456102E-14
1.1546319456102E-14
1.1546319456102E-14
1.1546319456102E-14
1.1546319456102E-14
-0.14805309995919
-4.8405723873657E-14
-4.8405723873657E-14
-4.8405723873657E-14
-4.8405723873657E-14
-4.8405723873657E-14
-4.8405723873657E-14
-4.8405723873657E-14
-4.8405723873657E-14
-4.8405723873657E-14
-4.8405723873657E-14
-4.8405723873657E-14
-4.8405723873657E-14
-4.8405723873657E-14
-4.8405723873657E-14
-4.8405723873657E-14
-4.8405723873657E-14
-4.8405723873657E-14
-4.8405723873657E-14
-4.8405723873657E-14
-4.8405723873657E-14
-4.8405723873657E-14
-4.8405723873657E-14
-4.8405723873657E-14
-4.8405723873657E-14
-4.8405723873657E-14
-4.8405723873657E-14
-4.8405723873657E-14
-4.8405723873657E-14
-4.8405723873657E-14
-4.8405723873657E-14
-4.8405723873657E-14
-4.8405723873657E-14
-4.8405723873657E-14
-4.8405723873657E-14
-0.43242091809665
4.4186876380081E-14
0.074985806884544
-1.8651746813703E-14
-0.27383666562972
0.27383666562971
-1.8651746813703E-14
-1.8651746813703E-14
-1.8651746813703E-14
-1.8651746813703E-14
-1.8651746813703E-14
-1.8651746813703E-14
-1.8651746813703E-14




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=99241&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=99241&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=99241&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
1-0.106173-1.50150.067401
20.0070610.09990.460279
30.0368550.52120.301399
40.1689432.38920.008907
5-0.1743-2.4650.007273
6-0.014688-0.20770.41783
70.0054640.07730.469244
8-0.050041-0.70770.239983
9-0.002823-0.03990.484099
10-0.102882-1.4550.073622
11-0.02783-0.39360.347155
12-0.021731-0.30730.37946
13-0.018842-0.26650.395075
140.0033460.04730.481155
150.0079330.11220.455391
160.0061510.0870.465385
170.0416250.58870.278375
18-0.001019-0.01440.494256
19-0.001497-0.02120.491565
200.0113130.160.436527
210.0097690.13820.445128
22-0.001958-0.02770.48897
23-0.001557-0.0220.491226

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & -0.106173 & -1.5015 & 0.067401 \tabularnewline
2 & 0.007061 & 0.0999 & 0.460279 \tabularnewline
3 & 0.036855 & 0.5212 & 0.301399 \tabularnewline
4 & 0.168943 & 2.3892 & 0.008907 \tabularnewline
5 & -0.1743 & -2.465 & 0.007273 \tabularnewline
6 & -0.014688 & -0.2077 & 0.41783 \tabularnewline
7 & 0.005464 & 0.0773 & 0.469244 \tabularnewline
8 & -0.050041 & -0.7077 & 0.239983 \tabularnewline
9 & -0.002823 & -0.0399 & 0.484099 \tabularnewline
10 & -0.102882 & -1.455 & 0.073622 \tabularnewline
11 & -0.02783 & -0.3936 & 0.347155 \tabularnewline
12 & -0.021731 & -0.3073 & 0.37946 \tabularnewline
13 & -0.018842 & -0.2665 & 0.395075 \tabularnewline
14 & 0.003346 & 0.0473 & 0.481155 \tabularnewline
15 & 0.007933 & 0.1122 & 0.455391 \tabularnewline
16 & 0.006151 & 0.087 & 0.465385 \tabularnewline
17 & 0.041625 & 0.5887 & 0.278375 \tabularnewline
18 & -0.001019 & -0.0144 & 0.494256 \tabularnewline
19 & -0.001497 & -0.0212 & 0.491565 \tabularnewline
20 & 0.011313 & 0.16 & 0.436527 \tabularnewline
21 & 0.009769 & 0.1382 & 0.445128 \tabularnewline
22 & -0.001958 & -0.0277 & 0.48897 \tabularnewline
23 & -0.001557 & -0.022 & 0.491226 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=99241&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]-0.106173[/C][C]-1.5015[/C][C]0.067401[/C][/ROW]
[ROW][C]2[/C][C]0.007061[/C][C]0.0999[/C][C]0.460279[/C][/ROW]
[ROW][C]3[/C][C]0.036855[/C][C]0.5212[/C][C]0.301399[/C][/ROW]
[ROW][C]4[/C][C]0.168943[/C][C]2.3892[/C][C]0.008907[/C][/ROW]
[ROW][C]5[/C][C]-0.1743[/C][C]-2.465[/C][C]0.007273[/C][/ROW]
[ROW][C]6[/C][C]-0.014688[/C][C]-0.2077[/C][C]0.41783[/C][/ROW]
[ROW][C]7[/C][C]0.005464[/C][C]0.0773[/C][C]0.469244[/C][/ROW]
[ROW][C]8[/C][C]-0.050041[/C][C]-0.7077[/C][C]0.239983[/C][/ROW]
[ROW][C]9[/C][C]-0.002823[/C][C]-0.0399[/C][C]0.484099[/C][/ROW]
[ROW][C]10[/C][C]-0.102882[/C][C]-1.455[/C][C]0.073622[/C][/ROW]
[ROW][C]11[/C][C]-0.02783[/C][C]-0.3936[/C][C]0.347155[/C][/ROW]
[ROW][C]12[/C][C]-0.021731[/C][C]-0.3073[/C][C]0.37946[/C][/ROW]
[ROW][C]13[/C][C]-0.018842[/C][C]-0.2665[/C][C]0.395075[/C][/ROW]
[ROW][C]14[/C][C]0.003346[/C][C]0.0473[/C][C]0.481155[/C][/ROW]
[ROW][C]15[/C][C]0.007933[/C][C]0.1122[/C][C]0.455391[/C][/ROW]
[ROW][C]16[/C][C]0.006151[/C][C]0.087[/C][C]0.465385[/C][/ROW]
[ROW][C]17[/C][C]0.041625[/C][C]0.5887[/C][C]0.278375[/C][/ROW]
[ROW][C]18[/C][C]-0.001019[/C][C]-0.0144[/C][C]0.494256[/C][/ROW]
[ROW][C]19[/C][C]-0.001497[/C][C]-0.0212[/C][C]0.491565[/C][/ROW]
[ROW][C]20[/C][C]0.011313[/C][C]0.16[/C][C]0.436527[/C][/ROW]
[ROW][C]21[/C][C]0.009769[/C][C]0.1382[/C][C]0.445128[/C][/ROW]
[ROW][C]22[/C][C]-0.001958[/C][C]-0.0277[/C][C]0.48897[/C][/ROW]
[ROW][C]23[/C][C]-0.001557[/C][C]-0.022[/C][C]0.491226[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=99241&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=99241&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
1-0.106173-1.50150.067401
20.0070610.09990.460279
30.0368550.52120.301399
40.1689432.38920.008907
5-0.1743-2.4650.007273
6-0.014688-0.20770.41783
70.0054640.07730.469244
8-0.050041-0.70770.239983
9-0.002823-0.03990.484099
10-0.102882-1.4550.073622
11-0.02783-0.39360.347155
12-0.021731-0.30730.37946
13-0.018842-0.26650.395075
140.0033460.04730.481155
150.0079330.11220.455391
160.0061510.0870.465385
170.0416250.58870.278375
18-0.001019-0.01440.494256
19-0.001497-0.02120.491565
200.0113130.160.436527
210.0097690.13820.445128
22-0.001958-0.02770.48897
23-0.001557-0.0220.491226







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
1-0.106173-1.50150.067401
2-0.00426-0.06020.476012
30.037580.53150.297844
40.1791312.53330.006033
5-0.14289-2.02080.022319
6-0.053089-0.75080.226831
7-0.014721-0.20820.417649
8-0.066424-0.93940.174336
90.0460890.65180.257641
10-0.11969-1.69270.046038
11-0.056773-0.80290.211496
12-0.013376-0.18920.425077
13-0.039285-0.55560.28956
140.0477710.67560.250045
15-0.010952-0.15490.438535
16-0.011276-0.15950.436728
170.046320.65510.256592
18-0.027245-0.38530.350213
190.0040290.0570.477312
20-0.00608-0.0860.465785
21-0.017749-0.2510.401032
220.0174120.24620.402872
23-0.013563-0.19180.424045

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & -0.106173 & -1.5015 & 0.067401 \tabularnewline
2 & -0.00426 & -0.0602 & 0.476012 \tabularnewline
3 & 0.03758 & 0.5315 & 0.297844 \tabularnewline
4 & 0.179131 & 2.5333 & 0.006033 \tabularnewline
5 & -0.14289 & -2.0208 & 0.022319 \tabularnewline
6 & -0.053089 & -0.7508 & 0.226831 \tabularnewline
7 & -0.014721 & -0.2082 & 0.417649 \tabularnewline
8 & -0.066424 & -0.9394 & 0.174336 \tabularnewline
9 & 0.046089 & 0.6518 & 0.257641 \tabularnewline
10 & -0.11969 & -1.6927 & 0.046038 \tabularnewline
11 & -0.056773 & -0.8029 & 0.211496 \tabularnewline
12 & -0.013376 & -0.1892 & 0.425077 \tabularnewline
13 & -0.039285 & -0.5556 & 0.28956 \tabularnewline
14 & 0.047771 & 0.6756 & 0.250045 \tabularnewline
15 & -0.010952 & -0.1549 & 0.438535 \tabularnewline
16 & -0.011276 & -0.1595 & 0.436728 \tabularnewline
17 & 0.04632 & 0.6551 & 0.256592 \tabularnewline
18 & -0.027245 & -0.3853 & 0.350213 \tabularnewline
19 & 0.004029 & 0.057 & 0.477312 \tabularnewline
20 & -0.00608 & -0.086 & 0.465785 \tabularnewline
21 & -0.017749 & -0.251 & 0.401032 \tabularnewline
22 & 0.017412 & 0.2462 & 0.402872 \tabularnewline
23 & -0.013563 & -0.1918 & 0.424045 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=99241&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]-0.106173[/C][C]-1.5015[/C][C]0.067401[/C][/ROW]
[ROW][C]2[/C][C]-0.00426[/C][C]-0.0602[/C][C]0.476012[/C][/ROW]
[ROW][C]3[/C][C]0.03758[/C][C]0.5315[/C][C]0.297844[/C][/ROW]
[ROW][C]4[/C][C]0.179131[/C][C]2.5333[/C][C]0.006033[/C][/ROW]
[ROW][C]5[/C][C]-0.14289[/C][C]-2.0208[/C][C]0.022319[/C][/ROW]
[ROW][C]6[/C][C]-0.053089[/C][C]-0.7508[/C][C]0.226831[/C][/ROW]
[ROW][C]7[/C][C]-0.014721[/C][C]-0.2082[/C][C]0.417649[/C][/ROW]
[ROW][C]8[/C][C]-0.066424[/C][C]-0.9394[/C][C]0.174336[/C][/ROW]
[ROW][C]9[/C][C]0.046089[/C][C]0.6518[/C][C]0.257641[/C][/ROW]
[ROW][C]10[/C][C]-0.11969[/C][C]-1.6927[/C][C]0.046038[/C][/ROW]
[ROW][C]11[/C][C]-0.056773[/C][C]-0.8029[/C][C]0.211496[/C][/ROW]
[ROW][C]12[/C][C]-0.013376[/C][C]-0.1892[/C][C]0.425077[/C][/ROW]
[ROW][C]13[/C][C]-0.039285[/C][C]-0.5556[/C][C]0.28956[/C][/ROW]
[ROW][C]14[/C][C]0.047771[/C][C]0.6756[/C][C]0.250045[/C][/ROW]
[ROW][C]15[/C][C]-0.010952[/C][C]-0.1549[/C][C]0.438535[/C][/ROW]
[ROW][C]16[/C][C]-0.011276[/C][C]-0.1595[/C][C]0.436728[/C][/ROW]
[ROW][C]17[/C][C]0.04632[/C][C]0.6551[/C][C]0.256592[/C][/ROW]
[ROW][C]18[/C][C]-0.027245[/C][C]-0.3853[/C][C]0.350213[/C][/ROW]
[ROW][C]19[/C][C]0.004029[/C][C]0.057[/C][C]0.477312[/C][/ROW]
[ROW][C]20[/C][C]-0.00608[/C][C]-0.086[/C][C]0.465785[/C][/ROW]
[ROW][C]21[/C][C]-0.017749[/C][C]-0.251[/C][C]0.401032[/C][/ROW]
[ROW][C]22[/C][C]0.017412[/C][C]0.2462[/C][C]0.402872[/C][/ROW]
[ROW][C]23[/C][C]-0.013563[/C][C]-0.1918[/C][C]0.424045[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=99241&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=99241&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
1-0.106173-1.50150.067401
2-0.00426-0.06020.476012
30.037580.53150.297844
40.1791312.53330.006033
5-0.14289-2.02080.022319
6-0.053089-0.75080.226831
7-0.014721-0.20820.417649
8-0.066424-0.93940.174336
90.0460890.65180.257641
10-0.11969-1.69270.046038
11-0.056773-0.80290.211496
12-0.013376-0.18920.425077
13-0.039285-0.55560.28956
140.0477710.67560.250045
15-0.010952-0.15490.438535
16-0.011276-0.15950.436728
170.046320.65510.256592
18-0.027245-0.38530.350213
190.0040290.0570.477312
20-0.00608-0.0860.465785
21-0.017749-0.2510.401032
220.0174120.24620.402872
23-0.013563-0.19180.424045



Parameters (Session):
par1 = Default ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ;
Parameters (R input):
par1 = Default ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ;
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')