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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationWed, 28 Nov 2007 07:36:34 -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/2007/Nov/28/t1196259992k077ggfw5x5awdb.htm/, Retrieved Wed, 01 May 2024 23:29:39 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=7064, Retrieved Wed, 01 May 2024 23:29:39 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact197

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [PACF GS'n incl en...] [2007-11-28 14:36:34] [4df98167d5cf79c69ce763f2d4ef5b15] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
96,8
91,2
97,1
104,9
110,9
104,8
94,1
95,8
99,3
101,1
104,0
99,0
105,4
107,1
110,7
117,1
118,7
126,5
127,5
134,6
131,8
135,9
142,7
141,7
153,4
145,0
137,7
148,3
152,2
169,4
168,6
161,1
174,1
179,0
190,6
190,0
181,6
174,8
180,5
196,8
193,8
197,0
216,3
221,4
217,9
229,7
227,4
204,2
196,6
198,8
207,5
190,7
201,6
210,5
223,5
223,8
231,2
244,0
234,7
250,2

Tables (Output of Computation)





Summary of compuational 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 compuational 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=7064&T=0

[TABLE]
[ROW][C]Summary of compuational 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=7064&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7064&T=0

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Summary of compuational 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
017.7460
10.9382127.26740
20.8825026.83580
30.8259146.39750
40.7785216.03040
50.7356955.69870
60.6862635.31581e-06
70.6447694.99443e-06
80.6055074.69028e-06
90.5801764.4941.6e-05
100.5485284.24893.8e-05
110.5160983.99778.9e-05
120.474183.6730.000256
130.4286133.320.000767
140.3691392.85930.002916
150.3054852.36630.010607
160.2462111.90710.030646
170.1852311.43480.07827
180.1291561.00040.160558
190.0852530.66040.255774
200.0497850.38560.350566
210.0051630.040.484116
22-0.031221-0.24180.595135
23-0.06138-0.47540.681902
24-0.09482-0.73450.76724
25-0.129345-1.00190.839792
26-0.176268-1.36540.911382
27-0.221404-1.7150.954246
28-0.260232-2.01570.975844
29-0.287688-2.22840.985194
30-0.310876-2.4080.990436
31-0.340818-2.640.994724
32-0.363954-2.81920.996743
33-0.378672-2.93320.997627
34-0.383301-2.9690.997856
35-0.383617-2.97150.99787

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 7.746 & 0 \tabularnewline
1 & 0.938212 & 7.2674 & 0 \tabularnewline
2 & 0.882502 & 6.8358 & 0 \tabularnewline
3 & 0.825914 & 6.3975 & 0 \tabularnewline
4 & 0.778521 & 6.0304 & 0 \tabularnewline
5 & 0.735695 & 5.6987 & 0 \tabularnewline
6 & 0.686263 & 5.3158 & 1e-06 \tabularnewline
7 & 0.644769 & 4.9944 & 3e-06 \tabularnewline
8 & 0.605507 & 4.6902 & 8e-06 \tabularnewline
9 & 0.580176 & 4.494 & 1.6e-05 \tabularnewline
10 & 0.548528 & 4.2489 & 3.8e-05 \tabularnewline
11 & 0.516098 & 3.9977 & 8.9e-05 \tabularnewline
12 & 0.47418 & 3.673 & 0.000256 \tabularnewline
13 & 0.428613 & 3.32 & 0.000767 \tabularnewline
14 & 0.369139 & 2.8593 & 0.002916 \tabularnewline
15 & 0.305485 & 2.3663 & 0.010607 \tabularnewline
16 & 0.246211 & 1.9071 & 0.030646 \tabularnewline
17 & 0.185231 & 1.4348 & 0.07827 \tabularnewline
18 & 0.129156 & 1.0004 & 0.160558 \tabularnewline
19 & 0.085253 & 0.6604 & 0.255774 \tabularnewline
20 & 0.049785 & 0.3856 & 0.350566 \tabularnewline
21 & 0.005163 & 0.04 & 0.484116 \tabularnewline
22 & -0.031221 & -0.2418 & 0.595135 \tabularnewline
23 & -0.06138 & -0.4754 & 0.681902 \tabularnewline
24 & -0.09482 & -0.7345 & 0.76724 \tabularnewline
25 & -0.129345 & -1.0019 & 0.839792 \tabularnewline
26 & -0.176268 & -1.3654 & 0.911382 \tabularnewline
27 & -0.221404 & -1.715 & 0.954246 \tabularnewline
28 & -0.260232 & -2.0157 & 0.975844 \tabularnewline
29 & -0.287688 & -2.2284 & 0.985194 \tabularnewline
30 & -0.310876 & -2.408 & 0.990436 \tabularnewline
31 & -0.340818 & -2.64 & 0.994724 \tabularnewline
32 & -0.363954 & -2.8192 & 0.996743 \tabularnewline
33 & -0.378672 & -2.9332 & 0.997627 \tabularnewline
34 & -0.383301 & -2.969 & 0.997856 \tabularnewline
35 & -0.383617 & -2.9715 & 0.99787 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7064&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]0[/C][C]1[/C][C]7.746[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]0.938212[/C][C]7.2674[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.882502[/C][C]6.8358[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.825914[/C][C]6.3975[/C][C]0[/C][/ROW]
[ROW][C]4[/C][C]0.778521[/C][C]6.0304[/C][C]0[/C][/ROW]
[ROW][C]5[/C][C]0.735695[/C][C]5.6987[/C][C]0[/C][/ROW]
[ROW][C]6[/C][C]0.686263[/C][C]5.3158[/C][C]1e-06[/C][/ROW]
[ROW][C]7[/C][C]0.644769[/C][C]4.9944[/C][C]3e-06[/C][/ROW]
[ROW][C]8[/C][C]0.605507[/C][C]4.6902[/C][C]8e-06[/C][/ROW]
[ROW][C]9[/C][C]0.580176[/C][C]4.494[/C][C]1.6e-05[/C][/ROW]
[ROW][C]10[/C][C]0.548528[/C][C]4.2489[/C][C]3.8e-05[/C][/ROW]
[ROW][C]11[/C][C]0.516098[/C][C]3.9977[/C][C]8.9e-05[/C][/ROW]
[ROW][C]12[/C][C]0.47418[/C][C]3.673[/C][C]0.000256[/C][/ROW]
[ROW][C]13[/C][C]0.428613[/C][C]3.32[/C][C]0.000767[/C][/ROW]
[ROW][C]14[/C][C]0.369139[/C][C]2.8593[/C][C]0.002916[/C][/ROW]
[ROW][C]15[/C][C]0.305485[/C][C]2.3663[/C][C]0.010607[/C][/ROW]
[ROW][C]16[/C][C]0.246211[/C][C]1.9071[/C][C]0.030646[/C][/ROW]
[ROW][C]17[/C][C]0.185231[/C][C]1.4348[/C][C]0.07827[/C][/ROW]
[ROW][C]18[/C][C]0.129156[/C][C]1.0004[/C][C]0.160558[/C][/ROW]
[ROW][C]19[/C][C]0.085253[/C][C]0.6604[/C][C]0.255774[/C][/ROW]
[ROW][C]20[/C][C]0.049785[/C][C]0.3856[/C][C]0.350566[/C][/ROW]
[ROW][C]21[/C][C]0.005163[/C][C]0.04[/C][C]0.484116[/C][/ROW]
[ROW][C]22[/C][C]-0.031221[/C][C]-0.2418[/C][C]0.595135[/C][/ROW]
[ROW][C]23[/C][C]-0.06138[/C][C]-0.4754[/C][C]0.681902[/C][/ROW]
[ROW][C]24[/C][C]-0.09482[/C][C]-0.7345[/C][C]0.76724[/C][/ROW]
[ROW][C]25[/C][C]-0.129345[/C][C]-1.0019[/C][C]0.839792[/C][/ROW]
[ROW][C]26[/C][C]-0.176268[/C][C]-1.3654[/C][C]0.911382[/C][/ROW]
[ROW][C]27[/C][C]-0.221404[/C][C]-1.715[/C][C]0.954246[/C][/ROW]
[ROW][C]28[/C][C]-0.260232[/C][C]-2.0157[/C][C]0.975844[/C][/ROW]
[ROW][C]29[/C][C]-0.287688[/C][C]-2.2284[/C][C]0.985194[/C][/ROW]
[ROW][C]30[/C][C]-0.310876[/C][C]-2.408[/C][C]0.990436[/C][/ROW]
[ROW][C]31[/C][C]-0.340818[/C][C]-2.64[/C][C]0.994724[/C][/ROW]
[ROW][C]32[/C][C]-0.363954[/C][C]-2.8192[/C][C]0.996743[/C][/ROW]
[ROW][C]33[/C][C]-0.378672[/C][C]-2.9332[/C][C]0.997627[/C][/ROW]
[ROW][C]34[/C][C]-0.383301[/C][C]-2.969[/C][C]0.997856[/C][/ROW]
[ROW][C]35[/C][C]-0.383617[/C][C]-2.9715[/C][C]0.99787[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=7064&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7064&T=1

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Autocorrelation Function
Time lag kACF(k)T-STATP-value
017.7460
10.9382127.26740
20.8825026.83580
30.8259146.39750
40.7785216.03040
50.7356955.69870
60.6862635.31581e-06
70.6447694.99443e-06
80.6055074.69028e-06
90.5801764.4941.6e-05
100.5485284.24893.8e-05
110.5160983.99778.9e-05
120.474183.6730.000256
130.4286133.320.000767
140.3691392.85930.002916
150.3054852.36630.010607
160.2462111.90710.030646
170.1852311.43480.07827
180.1291561.00040.160558
190.0852530.66040.255774
200.0497850.38560.350566
210.0051630.040.484116
22-0.031221-0.24180.595135
23-0.06138-0.47540.681902
24-0.09482-0.73450.76724
25-0.129345-1.00190.839792
26-0.176268-1.36540.911382
27-0.221404-1.7150.954246
28-0.260232-2.01570.975844
29-0.287688-2.22840.985194
30-0.310876-2.4080.990436
31-0.340818-2.640.994724
32-0.363954-2.81920.996743
33-0.378672-2.93320.997627
34-0.383301-2.9690.997856
35-0.383617-2.97150.99787






Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
00.9382127.26740
10.0188710.14620.442136
2-0.034586-0.26790.605153
30.0453460.35120.363317
40.0183680.14230.443669
5-0.077497-0.60030.724713
60.0377010.2920.385636
70.0057460.04450.482322
80.0874450.67730.250394
9-0.056785-0.43990.669188
10-0.02202-0.17060.567432
11-0.091011-0.7050.75822
12-0.06108-0.47310.68108
13-0.165775-1.28410.897976
14-0.082907-0.64220.738403
15-0.024783-0.1920.575792
16-0.063164-0.48930.686783
17-0.042333-0.32790.627939
180.0676860.52430.301002
190.0172750.13380.446999
20-0.125045-0.96860.831682
210.0150040.11620.453934
220.0459710.35610.361512
23-0.062342-0.48290.684538
24-0.03314-0.25670.600857
25-0.093847-0.72690.764955
26-0.020012-0.1550.561333
270.0116930.09060.464065
280.0289770.22450.411582
290.0084960.06580.473874
30-0.087493-0.67770.749721
31-0.02271-0.17590.56952
320.0173570.13450.446748
330.0446470.34580.365339
340.0224480.17390.431272
35-0.105332-0.81590.791106

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & 0.938212 & 7.2674 & 0 \tabularnewline
1 & 0.018871 & 0.1462 & 0.442136 \tabularnewline
2 & -0.034586 & -0.2679 & 0.605153 \tabularnewline
3 & 0.045346 & 0.3512 & 0.363317 \tabularnewline
4 & 0.018368 & 0.1423 & 0.443669 \tabularnewline
5 & -0.077497 & -0.6003 & 0.724713 \tabularnewline
6 & 0.037701 & 0.292 & 0.385636 \tabularnewline
7 & 0.005746 & 0.0445 & 0.482322 \tabularnewline
8 & 0.087445 & 0.6773 & 0.250394 \tabularnewline
9 & -0.056785 & -0.4399 & 0.669188 \tabularnewline
10 & -0.02202 & -0.1706 & 0.567432 \tabularnewline
11 & -0.091011 & -0.705 & 0.75822 \tabularnewline
12 & -0.06108 & -0.4731 & 0.68108 \tabularnewline
13 & -0.165775 & -1.2841 & 0.897976 \tabularnewline
14 & -0.082907 & -0.6422 & 0.738403 \tabularnewline
15 & -0.024783 & -0.192 & 0.575792 \tabularnewline
16 & -0.063164 & -0.4893 & 0.686783 \tabularnewline
17 & -0.042333 & -0.3279 & 0.627939 \tabularnewline
18 & 0.067686 & 0.5243 & 0.301002 \tabularnewline
19 & 0.017275 & 0.1338 & 0.446999 \tabularnewline
20 & -0.125045 & -0.9686 & 0.831682 \tabularnewline
21 & 0.015004 & 0.1162 & 0.453934 \tabularnewline
22 & 0.045971 & 0.3561 & 0.361512 \tabularnewline
23 & -0.062342 & -0.4829 & 0.684538 \tabularnewline
24 & -0.03314 & -0.2567 & 0.600857 \tabularnewline
25 & -0.093847 & -0.7269 & 0.764955 \tabularnewline
26 & -0.020012 & -0.155 & 0.561333 \tabularnewline
27 & 0.011693 & 0.0906 & 0.464065 \tabularnewline
28 & 0.028977 & 0.2245 & 0.411582 \tabularnewline
29 & 0.008496 & 0.0658 & 0.473874 \tabularnewline
30 & -0.087493 & -0.6777 & 0.749721 \tabularnewline
31 & -0.02271 & -0.1759 & 0.56952 \tabularnewline
32 & 0.017357 & 0.1345 & 0.446748 \tabularnewline
33 & 0.044647 & 0.3458 & 0.365339 \tabularnewline
34 & 0.022448 & 0.1739 & 0.431272 \tabularnewline
35 & -0.105332 & -0.8159 & 0.791106 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7064&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]0[/C][C]0.938212[/C][C]7.2674[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]0.018871[/C][C]0.1462[/C][C]0.442136[/C][/ROW]
[ROW][C]2[/C][C]-0.034586[/C][C]-0.2679[/C][C]0.605153[/C][/ROW]
[ROW][C]3[/C][C]0.045346[/C][C]0.3512[/C][C]0.363317[/C][/ROW]
[ROW][C]4[/C][C]0.018368[/C][C]0.1423[/C][C]0.443669[/C][/ROW]
[ROW][C]5[/C][C]-0.077497[/C][C]-0.6003[/C][C]0.724713[/C][/ROW]
[ROW][C]6[/C][C]0.037701[/C][C]0.292[/C][C]0.385636[/C][/ROW]
[ROW][C]7[/C][C]0.005746[/C][C]0.0445[/C][C]0.482322[/C][/ROW]
[ROW][C]8[/C][C]0.087445[/C][C]0.6773[/C][C]0.250394[/C][/ROW]
[ROW][C]9[/C][C]-0.056785[/C][C]-0.4399[/C][C]0.669188[/C][/ROW]
[ROW][C]10[/C][C]-0.02202[/C][C]-0.1706[/C][C]0.567432[/C][/ROW]
[ROW][C]11[/C][C]-0.091011[/C][C]-0.705[/C][C]0.75822[/C][/ROW]
[ROW][C]12[/C][C]-0.06108[/C][C]-0.4731[/C][C]0.68108[/C][/ROW]
[ROW][C]13[/C][C]-0.165775[/C][C]-1.2841[/C][C]0.897976[/C][/ROW]
[ROW][C]14[/C][C]-0.082907[/C][C]-0.6422[/C][C]0.738403[/C][/ROW]
[ROW][C]15[/C][C]-0.024783[/C][C]-0.192[/C][C]0.575792[/C][/ROW]
[ROW][C]16[/C][C]-0.063164[/C][C]-0.4893[/C][C]0.686783[/C][/ROW]
[ROW][C]17[/C][C]-0.042333[/C][C]-0.3279[/C][C]0.627939[/C][/ROW]
[ROW][C]18[/C][C]0.067686[/C][C]0.5243[/C][C]0.301002[/C][/ROW]
[ROW][C]19[/C][C]0.017275[/C][C]0.1338[/C][C]0.446999[/C][/ROW]
[ROW][C]20[/C][C]-0.125045[/C][C]-0.9686[/C][C]0.831682[/C][/ROW]
[ROW][C]21[/C][C]0.015004[/C][C]0.1162[/C][C]0.453934[/C][/ROW]
[ROW][C]22[/C][C]0.045971[/C][C]0.3561[/C][C]0.361512[/C][/ROW]
[ROW][C]23[/C][C]-0.062342[/C][C]-0.4829[/C][C]0.684538[/C][/ROW]
[ROW][C]24[/C][C]-0.03314[/C][C]-0.2567[/C][C]0.600857[/C][/ROW]
[ROW][C]25[/C][C]-0.093847[/C][C]-0.7269[/C][C]0.764955[/C][/ROW]
[ROW][C]26[/C][C]-0.020012[/C][C]-0.155[/C][C]0.561333[/C][/ROW]
[ROW][C]27[/C][C]0.011693[/C][C]0.0906[/C][C]0.464065[/C][/ROW]
[ROW][C]28[/C][C]0.028977[/C][C]0.2245[/C][C]0.411582[/C][/ROW]
[ROW][C]29[/C][C]0.008496[/C][C]0.0658[/C][C]0.473874[/C][/ROW]
[ROW][C]30[/C][C]-0.087493[/C][C]-0.6777[/C][C]0.749721[/C][/ROW]
[ROW][C]31[/C][C]-0.02271[/C][C]-0.1759[/C][C]0.56952[/C][/ROW]
[ROW][C]32[/C][C]0.017357[/C][C]0.1345[/C][C]0.446748[/C][/ROW]
[ROW][C]33[/C][C]0.044647[/C][C]0.3458[/C][C]0.365339[/C][/ROW]
[ROW][C]34[/C][C]0.022448[/C][C]0.1739[/C][C]0.431272[/C][/ROW]
[ROW][C]35[/C][C]-0.105332[/C][C]-0.8159[/C][C]0.791106[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=7064&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7064&T=2

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
00.9382127.26740
10.0188710.14620.442136
2-0.034586-0.26790.605153
30.0453460.35120.363317
40.0183680.14230.443669
5-0.077497-0.60030.724713
60.0377010.2920.385636
70.0057460.04450.482322
80.0874450.67730.250394
9-0.056785-0.43990.669188
10-0.02202-0.17060.567432
11-0.091011-0.7050.75822
12-0.06108-0.47310.68108
13-0.165775-1.28410.897976
14-0.082907-0.64220.738403
15-0.024783-0.1920.575792
16-0.063164-0.48930.686783
17-0.042333-0.32790.627939
180.0676860.52430.301002
190.0172750.13380.446999
20-0.125045-0.96860.831682
210.0150040.11620.453934
220.0459710.35610.361512
23-0.062342-0.48290.684538
24-0.03314-0.25670.600857
25-0.093847-0.72690.764955
26-0.020012-0.1550.561333
270.0116930.09060.464065
280.0289770.22450.411582
290.0084960.06580.473874
30-0.087493-0.67770.749721
31-0.02271-0.17590.56952
320.0173570.13450.446748
330.0446470.34580.365339
340.0224480.17390.431272
35-0.105332-0.81590.791106


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 36 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ;
Parameters (R input):
par1 = 36 ; 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 1:par1) {
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(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-1,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(mytstat,lengthx),6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')