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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, 11 Dec 2012 13:04:35 -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/2012/Dec/11/t1355249087z9w328frt2qilvt.htm/, Retrieved Thu, 28 Mar 2024 21:48:54 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=198605, Retrieved Thu, 28 Mar 2024 21:48:54 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact74
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [(Partial) Autocorrelation Function] [] [2011-12-20 16:21:00] [2417ae1b112c0bd5f0a8e2d9469d5871]
- R P     [(Partial) Autocorrelation Function] [yh] [2012-12-11 18:04:35] [69fed4bf76000787e6433dea6d892b14] [Current]
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Dataseries X:
235.1
280.7
264.6
240.7
201.4
240.8
241.1
223.8
206.1
174.7
203.3
220.5
299.5
347.4
338.3
327.7
351.6
396.6
438.8
395.6
363.5
378.8
357
369
464.8
479.1
431.3
366.5
326.3
355.1
331.6
261.3
249
205.5
235.6
240.9
264.9
253.8
232.3
193.8
177
213.2
207.2
180.6
188.6
175.4
199
179.6
225.8
234
200.2
183.6
178.2
203.2
208.5
191.8
172.8
148
159.4
154.5
213.2
196.4
182.8
176.4
153.6
173.2
171
151.2
161.9
157.2
201.7
236.4
356.1
398.3
403.7
384.6
365.8
368.1
367.9
347
343.3
292.9
311.5
300.9
366.9
356.9
329.7
316.2
269
289.3
266.2
253.6
233.8
228.4
253.6
260.1
306.6
309.2
309.5
271
279.9
317.9
298.4
246.7
227.3
209.1
259.9
266
320.6
308.5
282.2
262.7
263.5
313.1
284.3
252.6
250.3
246.5
312.7
333.2
446.4
511.6
515.5
506.4
483.2
522.3
509.8
460.7
405.8
375
378.5
406.8
467.8
469.8
429.8
355.8
332.7
378
360.5
334.7
319.5
323.1
363.6
352.1
411.9
388.6
416.4
360.7
338
417.2
388.4
371.1
331.5
353.7
396.7
447
533.5
565.4
542.3
488.7
467.1
531.3
496.1
444
403.4
386.3
394.1
404.1
462.1
448.1
432.3
386.3
395.2
421.9
382.9
384.2
345.5
323.4
372.6
376
462.7
487
444.2
399.3
394.9
455.4
414
375.5
347
339.4
385.8
378.8
451.8
446.1
422.5
383.1
352.8
445.3
367.5
355.1
326.2
319.8
331.8
340.9
394.1
417.2
369.9
349.2
321.4
405.7
342.9
316.5
284.2
270.9
288.8
278.8
324.4
310.9
299
273
279.3
359.2
305
282.1
250.3
246.5
257.9
266.5
315.9
318.4
295.4
266.4
245.8
362.8
324.9
294.2
289.5
295.2
290.3
272
307.4
328.7
292.9
249.1
230.4
361.5
321.7
277.2
260.7
251
257.6
241.8
287.5
292.3
274.7
254.2
230
339
318.2
287
295.8
284
271
262.7
340.6
379.4
373.3
355.2
338.4
466.9
451
422
429.2
425.9
460.7
463.6
541.4
544.2
517.5
469.4
439.4
549
533
506.1
484
457
481.5
469.5
544.7
541.2
521.5
469.7
434.4
542.6
517.3
485.7
465.8
447
426.6
411.6
467.5
484.5
451.2
417.4
379.9
484.7
455
420.8
416.5
376.3
405.6
405.8
500.8
514
475.5
430.1
414.4
538
526
488.5
520.2
504.4
568.5
610.6
818
830.9
835.9
782
762.3
856.9
820.9
769.6
752.2
724.4
723.1
719.5
817.4
803.3
752.5
689
630.4
765.5
757.7
732.2
702.6
683.3
709.5
702.2
784.8
810.9
755.6
656.8
615.1
745.3
694.1
675.7
643.7
622.1
634.6
588
689.7
673.9
647.9
568.8
545.7
632.6
643.8
593.1
579.7
546
562.9
572.5




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Herman Ole Andreas Wold' @ wold.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 & 3 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=198605&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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=198605&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=198605&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 time3 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.0192770.37130.355313
2-0.097003-1.86840.031246
3-0.248422-4.7851e-06
4-0.095369-1.83690.03351
50.2463474.7451e-06
6-0.110459-2.12760.017015
70.2171994.18351.8e-05
8-0.124895-2.40570.008316
9-0.273294-5.2640
10-0.156166-3.0080.001405
110.0012330.02380.490531
120.73632414.18260
13-0.031802-0.61250.270276
14-0.160506-3.09160.001071
15-0.28255-5.44230
16-0.138991-2.67720.003877
170.1874193.60990.000174
18-0.141899-2.73320.003287
190.2168494.17681.8e-05
20-0.130933-2.5220.006044
21-0.267366-5.14980
22-0.13118-2.52670.005964
23-0.019493-0.37550.353769
240.71905413.850
25-0.008976-0.17290.431414

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.019277 & 0.3713 & 0.355313 \tabularnewline
2 & -0.097003 & -1.8684 & 0.031246 \tabularnewline
3 & -0.248422 & -4.785 & 1e-06 \tabularnewline
4 & -0.095369 & -1.8369 & 0.03351 \tabularnewline
5 & 0.246347 & 4.745 & 1e-06 \tabularnewline
6 & -0.110459 & -2.1276 & 0.017015 \tabularnewline
7 & 0.217199 & 4.1835 & 1.8e-05 \tabularnewline
8 & -0.124895 & -2.4057 & 0.008316 \tabularnewline
9 & -0.273294 & -5.264 & 0 \tabularnewline
10 & -0.156166 & -3.008 & 0.001405 \tabularnewline
11 & 0.001233 & 0.0238 & 0.490531 \tabularnewline
12 & 0.736324 & 14.1826 & 0 \tabularnewline
13 & -0.031802 & -0.6125 & 0.270276 \tabularnewline
14 & -0.160506 & -3.0916 & 0.001071 \tabularnewline
15 & -0.28255 & -5.4423 & 0 \tabularnewline
16 & -0.138991 & -2.6772 & 0.003877 \tabularnewline
17 & 0.187419 & 3.6099 & 0.000174 \tabularnewline
18 & -0.141899 & -2.7332 & 0.003287 \tabularnewline
19 & 0.216849 & 4.1768 & 1.8e-05 \tabularnewline
20 & -0.130933 & -2.522 & 0.006044 \tabularnewline
21 & -0.267366 & -5.1498 & 0 \tabularnewline
22 & -0.13118 & -2.5267 & 0.005964 \tabularnewline
23 & -0.019493 & -0.3755 & 0.353769 \tabularnewline
24 & 0.719054 & 13.85 & 0 \tabularnewline
25 & -0.008976 & -0.1729 & 0.431414 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=198605&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]0.019277[/C][C]0.3713[/C][C]0.355313[/C][/ROW]
[ROW][C]2[/C][C]-0.097003[/C][C]-1.8684[/C][C]0.031246[/C][/ROW]
[ROW][C]3[/C][C]-0.248422[/C][C]-4.785[/C][C]1e-06[/C][/ROW]
[ROW][C]4[/C][C]-0.095369[/C][C]-1.8369[/C][C]0.03351[/C][/ROW]
[ROW][C]5[/C][C]0.246347[/C][C]4.745[/C][C]1e-06[/C][/ROW]
[ROW][C]6[/C][C]-0.110459[/C][C]-2.1276[/C][C]0.017015[/C][/ROW]
[ROW][C]7[/C][C]0.217199[/C][C]4.1835[/C][C]1.8e-05[/C][/ROW]
[ROW][C]8[/C][C]-0.124895[/C][C]-2.4057[/C][C]0.008316[/C][/ROW]
[ROW][C]9[/C][C]-0.273294[/C][C]-5.264[/C][C]0[/C][/ROW]
[ROW][C]10[/C][C]-0.156166[/C][C]-3.008[/C][C]0.001405[/C][/ROW]
[ROW][C]11[/C][C]0.001233[/C][C]0.0238[/C][C]0.490531[/C][/ROW]
[ROW][C]12[/C][C]0.736324[/C][C]14.1826[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]-0.031802[/C][C]-0.6125[/C][C]0.270276[/C][/ROW]
[ROW][C]14[/C][C]-0.160506[/C][C]-3.0916[/C][C]0.001071[/C][/ROW]
[ROW][C]15[/C][C]-0.28255[/C][C]-5.4423[/C][C]0[/C][/ROW]
[ROW][C]16[/C][C]-0.138991[/C][C]-2.6772[/C][C]0.003877[/C][/ROW]
[ROW][C]17[/C][C]0.187419[/C][C]3.6099[/C][C]0.000174[/C][/ROW]
[ROW][C]18[/C][C]-0.141899[/C][C]-2.7332[/C][C]0.003287[/C][/ROW]
[ROW][C]19[/C][C]0.216849[/C][C]4.1768[/C][C]1.8e-05[/C][/ROW]
[ROW][C]20[/C][C]-0.130933[/C][C]-2.522[/C][C]0.006044[/C][/ROW]
[ROW][C]21[/C][C]-0.267366[/C][C]-5.1498[/C][C]0[/C][/ROW]
[ROW][C]22[/C][C]-0.13118[/C][C]-2.5267[/C][C]0.005964[/C][/ROW]
[ROW][C]23[/C][C]-0.019493[/C][C]-0.3755[/C][C]0.353769[/C][/ROW]
[ROW][C]24[/C][C]0.719054[/C][C]13.85[/C][C]0[/C][/ROW]
[ROW][C]25[/C][C]-0.008976[/C][C]-0.1729[/C][C]0.431414[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=198605&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=198605&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
10.0192770.37130.355313
2-0.097003-1.86840.031246
3-0.248422-4.7851e-06
4-0.095369-1.83690.03351
50.2463474.7451e-06
6-0.110459-2.12760.017015
70.2171994.18351.8e-05
8-0.124895-2.40570.008316
9-0.273294-5.2640
10-0.156166-3.0080.001405
110.0012330.02380.490531
120.73632414.18260
13-0.031802-0.61250.270276
14-0.160506-3.09160.001071
15-0.28255-5.44230
16-0.138991-2.67720.003877
170.1874193.60990.000174
18-0.141899-2.73320.003287
190.2168494.17681.8e-05
20-0.130933-2.5220.006044
21-0.267366-5.14980
22-0.13118-2.52670.005964
23-0.019493-0.37550.353769
240.71905413.850
25-0.008976-0.17290.431414







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.0192770.37130.355313
2-0.097411-1.87630.030701
3-0.246927-4.75611e-06
4-0.107845-2.07720.019233
50.2135634.11352.4e-05
6-0.20926-4.03063.4e-05
70.2499714.81481e-06
8-0.090374-1.74070.04128
9-0.322571-6.21310
10-0.138031-2.65870.004092
110.0459720.88550.188237
120.62691112.07520
13-0.131467-2.53220.005873
14-0.194159-3.73980.000107
15-0.112598-2.16880.015367
16-0.148219-2.85490.002273
17-0.119075-2.29350.011188
18-0.12032-2.31750.010509
190.0707551.36280.086879
20-0.009428-0.18160.427997
21-0.060183-1.15920.12356
220.0507950.97840.164262
23-0.117296-2.25930.012223
240.267565.15360
250.0159370.3070.379522

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.019277 & 0.3713 & 0.355313 \tabularnewline
2 & -0.097411 & -1.8763 & 0.030701 \tabularnewline
3 & -0.246927 & -4.7561 & 1e-06 \tabularnewline
4 & -0.107845 & -2.0772 & 0.019233 \tabularnewline
5 & 0.213563 & 4.1135 & 2.4e-05 \tabularnewline
6 & -0.20926 & -4.0306 & 3.4e-05 \tabularnewline
7 & 0.249971 & 4.8148 & 1e-06 \tabularnewline
8 & -0.090374 & -1.7407 & 0.04128 \tabularnewline
9 & -0.322571 & -6.2131 & 0 \tabularnewline
10 & -0.138031 & -2.6587 & 0.004092 \tabularnewline
11 & 0.045972 & 0.8855 & 0.188237 \tabularnewline
12 & 0.626911 & 12.0752 & 0 \tabularnewline
13 & -0.131467 & -2.5322 & 0.005873 \tabularnewline
14 & -0.194159 & -3.7398 & 0.000107 \tabularnewline
15 & -0.112598 & -2.1688 & 0.015367 \tabularnewline
16 & -0.148219 & -2.8549 & 0.002273 \tabularnewline
17 & -0.119075 & -2.2935 & 0.011188 \tabularnewline
18 & -0.12032 & -2.3175 & 0.010509 \tabularnewline
19 & 0.070755 & 1.3628 & 0.086879 \tabularnewline
20 & -0.009428 & -0.1816 & 0.427997 \tabularnewline
21 & -0.060183 & -1.1592 & 0.12356 \tabularnewline
22 & 0.050795 & 0.9784 & 0.164262 \tabularnewline
23 & -0.117296 & -2.2593 & 0.012223 \tabularnewline
24 & 0.26756 & 5.1536 & 0 \tabularnewline
25 & 0.015937 & 0.307 & 0.379522 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=198605&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]0.019277[/C][C]0.3713[/C][C]0.355313[/C][/ROW]
[ROW][C]2[/C][C]-0.097411[/C][C]-1.8763[/C][C]0.030701[/C][/ROW]
[ROW][C]3[/C][C]-0.246927[/C][C]-4.7561[/C][C]1e-06[/C][/ROW]
[ROW][C]4[/C][C]-0.107845[/C][C]-2.0772[/C][C]0.019233[/C][/ROW]
[ROW][C]5[/C][C]0.213563[/C][C]4.1135[/C][C]2.4e-05[/C][/ROW]
[ROW][C]6[/C][C]-0.20926[/C][C]-4.0306[/C][C]3.4e-05[/C][/ROW]
[ROW][C]7[/C][C]0.249971[/C][C]4.8148[/C][C]1e-06[/C][/ROW]
[ROW][C]8[/C][C]-0.090374[/C][C]-1.7407[/C][C]0.04128[/C][/ROW]
[ROW][C]9[/C][C]-0.322571[/C][C]-6.2131[/C][C]0[/C][/ROW]
[ROW][C]10[/C][C]-0.138031[/C][C]-2.6587[/C][C]0.004092[/C][/ROW]
[ROW][C]11[/C][C]0.045972[/C][C]0.8855[/C][C]0.188237[/C][/ROW]
[ROW][C]12[/C][C]0.626911[/C][C]12.0752[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]-0.131467[/C][C]-2.5322[/C][C]0.005873[/C][/ROW]
[ROW][C]14[/C][C]-0.194159[/C][C]-3.7398[/C][C]0.000107[/C][/ROW]
[ROW][C]15[/C][C]-0.112598[/C][C]-2.1688[/C][C]0.015367[/C][/ROW]
[ROW][C]16[/C][C]-0.148219[/C][C]-2.8549[/C][C]0.002273[/C][/ROW]
[ROW][C]17[/C][C]-0.119075[/C][C]-2.2935[/C][C]0.011188[/C][/ROW]
[ROW][C]18[/C][C]-0.12032[/C][C]-2.3175[/C][C]0.010509[/C][/ROW]
[ROW][C]19[/C][C]0.070755[/C][C]1.3628[/C][C]0.086879[/C][/ROW]
[ROW][C]20[/C][C]-0.009428[/C][C]-0.1816[/C][C]0.427997[/C][/ROW]
[ROW][C]21[/C][C]-0.060183[/C][C]-1.1592[/C][C]0.12356[/C][/ROW]
[ROW][C]22[/C][C]0.050795[/C][C]0.9784[/C][C]0.164262[/C][/ROW]
[ROW][C]23[/C][C]-0.117296[/C][C]-2.2593[/C][C]0.012223[/C][/ROW]
[ROW][C]24[/C][C]0.26756[/C][C]5.1536[/C][C]0[/C][/ROW]
[ROW][C]25[/C][C]0.015937[/C][C]0.307[/C][C]0.379522[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=198605&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=198605&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
10.0192770.37130.355313
2-0.097411-1.87630.030701
3-0.246927-4.75611e-06
4-0.107845-2.07720.019233
50.2135634.11352.4e-05
6-0.20926-4.03063.4e-05
70.2499714.81481e-06
8-0.090374-1.74070.04128
9-0.322571-6.21310
10-0.138031-2.65870.004092
110.0459720.88550.188237
120.62691112.07520
13-0.131467-2.53220.005873
14-0.194159-3.73980.000107
15-0.112598-2.16880.015367
16-0.148219-2.85490.002273
17-0.119075-2.29350.011188
18-0.12032-2.31750.010509
190.0707551.36280.086879
20-0.009428-0.18160.427997
21-0.060183-1.15920.12356
220.0507950.97840.164262
23-0.117296-2.25930.012223
240.267565.15360
250.0159370.3070.379522



Parameters (Session):
par1 = Default ; par2 = 0.0 ; par3 = 1 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ;
Parameters (R input):
par1 = Default ; par2 = 0.0 ; par3 = 1 ; 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 (par8 != '') par8 <- as.numeric(par8)
ox <- x
if (par8 == '') {
if (par2 == 0) {
x <- log(x)
} else {
x <- (x ^ par2 - 1) / par2
}
} else {
x <- log(x,base=par8)
}
if (par3 > 0) x <- diff(x,lag=1,difference=par3)
if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
bitmap(file='picts.png')
op <- par(mfrow=c(2,1))
plot(ox,type='l',main='Original Time Series',xlab='time',ylab='value')
if (par8=='') {
mytitle <- paste('Working Time Series (lambda=',par2,', d=',par3,', D=',par4,')',sep='')
mysub <- paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep='')
} else {
mytitle <- paste('Working Time Series (base=',par8,', d=',par3,', D=',par4,')',sep='')
mysub <- paste('(base=',par8,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep='')
}
plot(x,type='l', main=mytitle,xlab='time',ylab='value')
par(op)
dev.off()
bitmap(file='pic1.png')
racf <- acf(x, par1, main='Autocorrelation', xlab='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=mysub)
dev.off()
bitmap(file='pic2.png')
rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF',sub=mysub)
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')