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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationWed, 24 Dec 2008 08:11:07 -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/2008/Dec/24/t12301314949pl7sep2vwrex9b.htm/, Retrieved Sun, 19 May 2024 08:51:24 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=36608, Retrieved Sun, 19 May 2024 08:51:24 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact161
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]
F RMPD  [Spectral Analysis] [Identification an...] [2008-12-09 22:16:59] [1a689e9ccc515e1757f0522229a687e9]
-   PD    [Spectral Analysis] [Paper Cumulative ...] [2008-12-24 14:53:47] [1a689e9ccc515e1757f0522229a687e9]
-           [Spectral Analysis] [Paper Cumulative ...] [2008-12-24 14:58:31] [1a689e9ccc515e1757f0522229a687e9]
-             [Spectral Analysis] [Paper Cumulative ...] [2008-12-24 15:01:23] [1a689e9ccc515e1757f0522229a687e9]
- RM D          [Variance Reduction Matrix] [Paper Variance Re...] [2008-12-24 15:08:19] [1a689e9ccc515e1757f0522229a687e9]
- RM D              [(Partial) Autocorrelation Function] [Paper Autocorrela...] [2008-12-24 15:11:07] [74a138e5b32af267311b5ad4cd13bf7e] [Current]
-                     [(Partial) Autocorrelation Function] [Paper Autocorrela...] [2008-12-24 15:13:57] [1a689e9ccc515e1757f0522229a687e9]
- RM                    [Spectral Analysis] [Paper Cumulative ...] [2008-12-24 15:16:17] [1a689e9ccc515e1757f0522229a687e9]
-                         [Spectral Analysis] [Paper Cumulative ...] [2008-12-24 15:19:40] [1a689e9ccc515e1757f0522229a687e9]
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Dataseries X:
103.3
107.9
101
94.6
94.2
92.3
107.1
102.6
103.1
104.1
92.7
87
109.3
113.9
103.3
100.8
97.4
98.9
110.8
103.5
99.8
104.9
95.2
85.7
110
113.7
101.1
103.6
96.2
98.3
119.7
109.4
103.5
118.2
98.7
96.8
121.8
124
119.6
122.5
109.7
111.6
131.2
124.4
116.9
131.8
107.4
111
134
126.2
131.2
130.1
123.1
126.3
148.6
130.1
142.3
154.4
121.6
124.8
143.6
146.9
144.6
137.1
134.7
130.8
153.5
137.6
146.5
156.7
137.6
131.4
147.4
158.5
151.5
142.5
131.3
133.4
136.9
143.2
136.4
145.9
138.8
122.9




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=36608&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]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=36608&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=36608&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'Sir Ronald Aylmer Fisher' @ 193.190.124.24







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.8013577.34460
20.699666.41250
30.7535796.90670
40.6876256.30220
50.7235476.63140
60.7998887.33110
70.6843676.27230
80.6177785.6620
90.6255325.73310
100.5005714.58788e-06
110.5540675.07811e-06
120.6720386.15930
130.5143424.7145e-06
140.4193333.84320.000118
150.4353783.99037e-05
160.3591723.29190.000728
170.3838643.51820.000352
180.4359993.9966.9e-05
190.3225162.95590.002023
200.2646152.42520.00872
210.2414532.2130.014807
220.1244161.14030.128703
230.1711621.56870.060235
240.2354462.15790.016895
250.1159581.06280.145464
260.0421860.38660.350001
270.0254830.23360.40795
28-0.052758-0.48350.314986
29-0.032919-0.30170.38181
30-0.005995-0.05490.478155
31-0.078391-0.71850.237232
32-0.117145-1.07370.143027
33-0.163918-1.50230.068381
34-0.240006-2.19970.015288
35-0.201985-1.85120.033826
36-0.150521-1.37960.085693

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.801357 & 7.3446 & 0 \tabularnewline
2 & 0.69966 & 6.4125 & 0 \tabularnewline
3 & 0.753579 & 6.9067 & 0 \tabularnewline
4 & 0.687625 & 6.3022 & 0 \tabularnewline
5 & 0.723547 & 6.6314 & 0 \tabularnewline
6 & 0.799888 & 7.3311 & 0 \tabularnewline
7 & 0.684367 & 6.2723 & 0 \tabularnewline
8 & 0.617778 & 5.662 & 0 \tabularnewline
9 & 0.625532 & 5.7331 & 0 \tabularnewline
10 & 0.500571 & 4.5878 & 8e-06 \tabularnewline
11 & 0.554067 & 5.0781 & 1e-06 \tabularnewline
12 & 0.672038 & 6.1593 & 0 \tabularnewline
13 & 0.514342 & 4.714 & 5e-06 \tabularnewline
14 & 0.419333 & 3.8432 & 0.000118 \tabularnewline
15 & 0.435378 & 3.9903 & 7e-05 \tabularnewline
16 & 0.359172 & 3.2919 & 0.000728 \tabularnewline
17 & 0.383864 & 3.5182 & 0.000352 \tabularnewline
18 & 0.435999 & 3.996 & 6.9e-05 \tabularnewline
19 & 0.322516 & 2.9559 & 0.002023 \tabularnewline
20 & 0.264615 & 2.4252 & 0.00872 \tabularnewline
21 & 0.241453 & 2.213 & 0.014807 \tabularnewline
22 & 0.124416 & 1.1403 & 0.128703 \tabularnewline
23 & 0.171162 & 1.5687 & 0.060235 \tabularnewline
24 & 0.235446 & 2.1579 & 0.016895 \tabularnewline
25 & 0.115958 & 1.0628 & 0.145464 \tabularnewline
26 & 0.042186 & 0.3866 & 0.350001 \tabularnewline
27 & 0.025483 & 0.2336 & 0.40795 \tabularnewline
28 & -0.052758 & -0.4835 & 0.314986 \tabularnewline
29 & -0.032919 & -0.3017 & 0.38181 \tabularnewline
30 & -0.005995 & -0.0549 & 0.478155 \tabularnewline
31 & -0.078391 & -0.7185 & 0.237232 \tabularnewline
32 & -0.117145 & -1.0737 & 0.143027 \tabularnewline
33 & -0.163918 & -1.5023 & 0.068381 \tabularnewline
34 & -0.240006 & -2.1997 & 0.015288 \tabularnewline
35 & -0.201985 & -1.8512 & 0.033826 \tabularnewline
36 & -0.150521 & -1.3796 & 0.085693 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=36608&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]0.801357[/C][C]7.3446[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.69966[/C][C]6.4125[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.753579[/C][C]6.9067[/C][C]0[/C][/ROW]
[ROW][C]4[/C][C]0.687625[/C][C]6.3022[/C][C]0[/C][/ROW]
[ROW][C]5[/C][C]0.723547[/C][C]6.6314[/C][C]0[/C][/ROW]
[ROW][C]6[/C][C]0.799888[/C][C]7.3311[/C][C]0[/C][/ROW]
[ROW][C]7[/C][C]0.684367[/C][C]6.2723[/C][C]0[/C][/ROW]
[ROW][C]8[/C][C]0.617778[/C][C]5.662[/C][C]0[/C][/ROW]
[ROW][C]9[/C][C]0.625532[/C][C]5.7331[/C][C]0[/C][/ROW]
[ROW][C]10[/C][C]0.500571[/C][C]4.5878[/C][C]8e-06[/C][/ROW]
[ROW][C]11[/C][C]0.554067[/C][C]5.0781[/C][C]1e-06[/C][/ROW]
[ROW][C]12[/C][C]0.672038[/C][C]6.1593[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]0.514342[/C][C]4.714[/C][C]5e-06[/C][/ROW]
[ROW][C]14[/C][C]0.419333[/C][C]3.8432[/C][C]0.000118[/C][/ROW]
[ROW][C]15[/C][C]0.435378[/C][C]3.9903[/C][C]7e-05[/C][/ROW]
[ROW][C]16[/C][C]0.359172[/C][C]3.2919[/C][C]0.000728[/C][/ROW]
[ROW][C]17[/C][C]0.383864[/C][C]3.5182[/C][C]0.000352[/C][/ROW]
[ROW][C]18[/C][C]0.435999[/C][C]3.996[/C][C]6.9e-05[/C][/ROW]
[ROW][C]19[/C][C]0.322516[/C][C]2.9559[/C][C]0.002023[/C][/ROW]
[ROW][C]20[/C][C]0.264615[/C][C]2.4252[/C][C]0.00872[/C][/ROW]
[ROW][C]21[/C][C]0.241453[/C][C]2.213[/C][C]0.014807[/C][/ROW]
[ROW][C]22[/C][C]0.124416[/C][C]1.1403[/C][C]0.128703[/C][/ROW]
[ROW][C]23[/C][C]0.171162[/C][C]1.5687[/C][C]0.060235[/C][/ROW]
[ROW][C]24[/C][C]0.235446[/C][C]2.1579[/C][C]0.016895[/C][/ROW]
[ROW][C]25[/C][C]0.115958[/C][C]1.0628[/C][C]0.145464[/C][/ROW]
[ROW][C]26[/C][C]0.042186[/C][C]0.3866[/C][C]0.350001[/C][/ROW]
[ROW][C]27[/C][C]0.025483[/C][C]0.2336[/C][C]0.40795[/C][/ROW]
[ROW][C]28[/C][C]-0.052758[/C][C]-0.4835[/C][C]0.314986[/C][/ROW]
[ROW][C]29[/C][C]-0.032919[/C][C]-0.3017[/C][C]0.38181[/C][/ROW]
[ROW][C]30[/C][C]-0.005995[/C][C]-0.0549[/C][C]0.478155[/C][/ROW]
[ROW][C]31[/C][C]-0.078391[/C][C]-0.7185[/C][C]0.237232[/C][/ROW]
[ROW][C]32[/C][C]-0.117145[/C][C]-1.0737[/C][C]0.143027[/C][/ROW]
[ROW][C]33[/C][C]-0.163918[/C][C]-1.5023[/C][C]0.068381[/C][/ROW]
[ROW][C]34[/C][C]-0.240006[/C][C]-2.1997[/C][C]0.015288[/C][/ROW]
[ROW][C]35[/C][C]-0.201985[/C][C]-1.8512[/C][C]0.033826[/C][/ROW]
[ROW][C]36[/C][C]-0.150521[/C][C]-1.3796[/C][C]0.085693[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=36608&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=36608&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
10.8013577.34460
20.699666.41250
30.7535796.90670
40.6876256.30220
50.7235476.63140
60.7998887.33110
70.6843676.27230
80.6177785.6620
90.6255325.73310
100.5005714.58788e-06
110.5540675.07811e-06
120.6720386.15930
130.5143424.7145e-06
140.4193333.84320.000118
150.4353783.99037e-05
160.3591723.29190.000728
170.3838643.51820.000352
180.4359993.9966.9e-05
190.3225162.95590.002023
200.2646152.42520.00872
210.2414532.2130.014807
220.1244161.14030.128703
230.1711621.56870.060235
240.2354462.15790.016895
250.1159581.06280.145464
260.0421860.38660.350001
270.0254830.23360.40795
28-0.052758-0.48350.314986
29-0.032919-0.30170.38181
30-0.005995-0.05490.478155
31-0.078391-0.71850.237232
32-0.117145-1.07370.143027
33-0.163918-1.50230.068381
34-0.240006-2.19970.015288
35-0.201985-1.85120.033826
36-0.150521-1.37960.085693







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.8013577.34460
20.1606571.47240.072319
30.442454.05515.6e-05
4-0.087119-0.79850.213427
50.4283773.92618.8e-05
60.2044141.87350.03224
7-0.162327-1.48770.070281
8-0.092648-0.84910.199111
9-0.121109-1.110.135087
10-0.401166-3.67670.000208
110.2782232.550.006295
120.2112931.93650.028082
13-0.289043-2.64910.00482
14-0.163173-1.49550.069265
150.0130260.11940.452626
160.0676770.62030.268379
170.0145870.13370.446982
18-0.077876-0.71370.238681
19-0.017285-0.15840.437253
20-0.098633-0.9040.184294
21-0.11903-1.09090.139213
22-0.001509-0.01380.494498
230.0546170.50060.30899
24-0.168082-1.54050.063599
250.0339780.31140.37813
26-0.029173-0.26740.394918
270.0121190.11110.455913
28-0.064843-0.59430.276955
29-0.020584-0.18870.425408
30-0.077457-0.70990.239866
310.1382731.26730.104276
32-0.1147-1.05120.148081
330.0037130.0340.486466
340.0339640.31130.378179
35-0.040745-0.37340.354885
360.063730.58410.280362

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.801357 & 7.3446 & 0 \tabularnewline
2 & 0.160657 & 1.4724 & 0.072319 \tabularnewline
3 & 0.44245 & 4.0551 & 5.6e-05 \tabularnewline
4 & -0.087119 & -0.7985 & 0.213427 \tabularnewline
5 & 0.428377 & 3.9261 & 8.8e-05 \tabularnewline
6 & 0.204414 & 1.8735 & 0.03224 \tabularnewline
7 & -0.162327 & -1.4877 & 0.070281 \tabularnewline
8 & -0.092648 & -0.8491 & 0.199111 \tabularnewline
9 & -0.121109 & -1.11 & 0.135087 \tabularnewline
10 & -0.401166 & -3.6767 & 0.000208 \tabularnewline
11 & 0.278223 & 2.55 & 0.006295 \tabularnewline
12 & 0.211293 & 1.9365 & 0.028082 \tabularnewline
13 & -0.289043 & -2.6491 & 0.00482 \tabularnewline
14 & -0.163173 & -1.4955 & 0.069265 \tabularnewline
15 & 0.013026 & 0.1194 & 0.452626 \tabularnewline
16 & 0.067677 & 0.6203 & 0.268379 \tabularnewline
17 & 0.014587 & 0.1337 & 0.446982 \tabularnewline
18 & -0.077876 & -0.7137 & 0.238681 \tabularnewline
19 & -0.017285 & -0.1584 & 0.437253 \tabularnewline
20 & -0.098633 & -0.904 & 0.184294 \tabularnewline
21 & -0.11903 & -1.0909 & 0.139213 \tabularnewline
22 & -0.001509 & -0.0138 & 0.494498 \tabularnewline
23 & 0.054617 & 0.5006 & 0.30899 \tabularnewline
24 & -0.168082 & -1.5405 & 0.063599 \tabularnewline
25 & 0.033978 & 0.3114 & 0.37813 \tabularnewline
26 & -0.029173 & -0.2674 & 0.394918 \tabularnewline
27 & 0.012119 & 0.1111 & 0.455913 \tabularnewline
28 & -0.064843 & -0.5943 & 0.276955 \tabularnewline
29 & -0.020584 & -0.1887 & 0.425408 \tabularnewline
30 & -0.077457 & -0.7099 & 0.239866 \tabularnewline
31 & 0.138273 & 1.2673 & 0.104276 \tabularnewline
32 & -0.1147 & -1.0512 & 0.148081 \tabularnewline
33 & 0.003713 & 0.034 & 0.486466 \tabularnewline
34 & 0.033964 & 0.3113 & 0.378179 \tabularnewline
35 & -0.040745 & -0.3734 & 0.354885 \tabularnewline
36 & 0.06373 & 0.5841 & 0.280362 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=36608&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]0.801357[/C][C]7.3446[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.160657[/C][C]1.4724[/C][C]0.072319[/C][/ROW]
[ROW][C]3[/C][C]0.44245[/C][C]4.0551[/C][C]5.6e-05[/C][/ROW]
[ROW][C]4[/C][C]-0.087119[/C][C]-0.7985[/C][C]0.213427[/C][/ROW]
[ROW][C]5[/C][C]0.428377[/C][C]3.9261[/C][C]8.8e-05[/C][/ROW]
[ROW][C]6[/C][C]0.204414[/C][C]1.8735[/C][C]0.03224[/C][/ROW]
[ROW][C]7[/C][C]-0.162327[/C][C]-1.4877[/C][C]0.070281[/C][/ROW]
[ROW][C]8[/C][C]-0.092648[/C][C]-0.8491[/C][C]0.199111[/C][/ROW]
[ROW][C]9[/C][C]-0.121109[/C][C]-1.11[/C][C]0.135087[/C][/ROW]
[ROW][C]10[/C][C]-0.401166[/C][C]-3.6767[/C][C]0.000208[/C][/ROW]
[ROW][C]11[/C][C]0.278223[/C][C]2.55[/C][C]0.006295[/C][/ROW]
[ROW][C]12[/C][C]0.211293[/C][C]1.9365[/C][C]0.028082[/C][/ROW]
[ROW][C]13[/C][C]-0.289043[/C][C]-2.6491[/C][C]0.00482[/C][/ROW]
[ROW][C]14[/C][C]-0.163173[/C][C]-1.4955[/C][C]0.069265[/C][/ROW]
[ROW][C]15[/C][C]0.013026[/C][C]0.1194[/C][C]0.452626[/C][/ROW]
[ROW][C]16[/C][C]0.067677[/C][C]0.6203[/C][C]0.268379[/C][/ROW]
[ROW][C]17[/C][C]0.014587[/C][C]0.1337[/C][C]0.446982[/C][/ROW]
[ROW][C]18[/C][C]-0.077876[/C][C]-0.7137[/C][C]0.238681[/C][/ROW]
[ROW][C]19[/C][C]-0.017285[/C][C]-0.1584[/C][C]0.437253[/C][/ROW]
[ROW][C]20[/C][C]-0.098633[/C][C]-0.904[/C][C]0.184294[/C][/ROW]
[ROW][C]21[/C][C]-0.11903[/C][C]-1.0909[/C][C]0.139213[/C][/ROW]
[ROW][C]22[/C][C]-0.001509[/C][C]-0.0138[/C][C]0.494498[/C][/ROW]
[ROW][C]23[/C][C]0.054617[/C][C]0.5006[/C][C]0.30899[/C][/ROW]
[ROW][C]24[/C][C]-0.168082[/C][C]-1.5405[/C][C]0.063599[/C][/ROW]
[ROW][C]25[/C][C]0.033978[/C][C]0.3114[/C][C]0.37813[/C][/ROW]
[ROW][C]26[/C][C]-0.029173[/C][C]-0.2674[/C][C]0.394918[/C][/ROW]
[ROW][C]27[/C][C]0.012119[/C][C]0.1111[/C][C]0.455913[/C][/ROW]
[ROW][C]28[/C][C]-0.064843[/C][C]-0.5943[/C][C]0.276955[/C][/ROW]
[ROW][C]29[/C][C]-0.020584[/C][C]-0.1887[/C][C]0.425408[/C][/ROW]
[ROW][C]30[/C][C]-0.077457[/C][C]-0.7099[/C][C]0.239866[/C][/ROW]
[ROW][C]31[/C][C]0.138273[/C][C]1.2673[/C][C]0.104276[/C][/ROW]
[ROW][C]32[/C][C]-0.1147[/C][C]-1.0512[/C][C]0.148081[/C][/ROW]
[ROW][C]33[/C][C]0.003713[/C][C]0.034[/C][C]0.486466[/C][/ROW]
[ROW][C]34[/C][C]0.033964[/C][C]0.3113[/C][C]0.378179[/C][/ROW]
[ROW][C]35[/C][C]-0.040745[/C][C]-0.3734[/C][C]0.354885[/C][/ROW]
[ROW][C]36[/C][C]0.06373[/C][C]0.5841[/C][C]0.280362[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=36608&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=36608&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
10.8013577.34460
20.1606571.47240.072319
30.442454.05515.6e-05
4-0.087119-0.79850.213427
50.4283773.92618.8e-05
60.2044141.87350.03224
7-0.162327-1.48770.070281
8-0.092648-0.84910.199111
9-0.121109-1.110.135087
10-0.401166-3.67670.000208
110.2782232.550.006295
120.2112931.93650.028082
13-0.289043-2.64910.00482
14-0.163173-1.49550.069265
150.0130260.11940.452626
160.0676770.62030.268379
170.0145870.13370.446982
18-0.077876-0.71370.238681
19-0.017285-0.15840.437253
20-0.098633-0.9040.184294
21-0.11903-1.09090.139213
22-0.001509-0.01380.494498
230.0546170.50060.30899
24-0.168082-1.54050.063599
250.0339780.31140.37813
26-0.029173-0.26740.394918
270.0121190.11110.455913
28-0.064843-0.59430.276955
29-0.020584-0.18870.425408
30-0.077457-0.70990.239866
310.1382731.26730.104276
32-0.1147-1.05120.148081
330.0037130.0340.486466
340.0339640.31130.378179
35-0.040745-0.37340.354885
360.063730.58410.280362



Parameters (Session):
par1 = 36 ; par2 = 1 ; par3 = 1 ; par4 = 1 ; 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 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')