Free Statistics

of Irreproducible Research!

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 computationWed, 03 Dec 2008 14:25:22 -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/03/t1228339579dfdivnq1631ojix.htm/, Retrieved Sun, 19 May 2024 04:24:17 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=28891, Retrieved Sun, 19 May 2024 04:24:17 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact201
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [Univariate Data Series] [Airline data] [2007-10-18 09:58:47] [42daae401fd3def69a25014f2252b4c2]
- RMPD  [(Partial) Autocorrelation Function] [blok 17 Q6 ACF] [2008-12-02 20:15:24] [6173c35e31b784a490c8cd5476f785d4]
-    D    [(Partial) Autocorrelation Function] [blok 17 Q8 acf x(t)] [2008-12-03 21:00:52] [6173c35e31b784a490c8cd5476f785d4]
-   PD      [(Partial) Autocorrelation Function] [blok 17 Q8 acf x(...] [2008-12-03 21:05:57] [6173c35e31b784a490c8cd5476f785d4]
-   P         [(Partial) Autocorrelation Function] [blok 17 Q8 acf x(...] [2008-12-03 21:08:53] [6173c35e31b784a490c8cd5476f785d4]
-   PD          [(Partial) Autocorrelation Function] [blok 17 Q8 acf y(t)] [2008-12-03 21:21:49] [6173c35e31b784a490c8cd5476f785d4]
-   PD              [(Partial) Autocorrelation Function] [blok 17 Q8 acf y(...] [2008-12-03 21:25:22] [1237f4df7e9be807e4c0a07b90c45721] [Current]
Feedback Forum

Post a new message
Dataseries X:
98.1
101.1
111.1
93.3
100
108
70.4
75.4
105.5
112.3
102.5
93.5
86.7
95.2
103.8
97
95.5
101
67.5
64
106.7
100.6
101.2
93.1
84.2
85.8
91.8
92.4
80.3
79.7
62.5
57.1
100.8
100.7
86.2
83.2
71.7
77.5
89.8
80.3
78.7
93.8
57.6
60.6
91
85.3
77.4
77.3
68.3
69.9
81.7
75.1
69.9
84
54.3
60
89.9
77
85.3
77.6
69.2
75.5
85.7
72.2
79.9
85.3
52.2
61.2
82.4
85.4
78.2
70.2




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'George Udny Yule' @ 72.249.76.132

\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 & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=28891&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=28891&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=28891&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'George Udny Yule' @ 72.249.76.132







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.2010311.55720.062344
20.2389191.85070.034572
30.2400161.85920.033955
4-0.014608-0.11320.455143
50.169251.3110.097426
60.0347790.26940.394273
70.0934050.72350.236089
80.18191.4090.082
90.0060780.04710.481302
100.0770860.59710.276343
110.0043420.03360.486641
12-0.282495-2.18820.01628
13-0.08641-0.66930.252928
14-0.122088-0.94570.174049
150.0108490.0840.466654
16-0.011755-0.09110.463877
170.1358521.05230.148439
180.1808281.40070.083229
19-0.042503-0.32920.371566
200.0143580.11120.455908
210.1080460.83690.20298
22-0.098457-0.76260.224331
230.1339871.03790.151751
24-0.030041-0.23270.408394
25-0.037297-0.28890.386827
260.0733970.56850.285899
27-0.130311-1.00940.158421
280.0223870.17340.431457
29-0.201128-1.55790.062254
30-0.297642-2.30550.012305
31-0.064745-0.50150.308923
32-0.103055-0.79830.213933
33-0.157077-1.21670.114239
34-0.058623-0.45410.325701
35-0.176293-1.36560.088587
36-0.063526-0.49210.312233

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.201031 & 1.5572 & 0.062344 \tabularnewline
2 & 0.238919 & 1.8507 & 0.034572 \tabularnewline
3 & 0.240016 & 1.8592 & 0.033955 \tabularnewline
4 & -0.014608 & -0.1132 & 0.455143 \tabularnewline
5 & 0.16925 & 1.311 & 0.097426 \tabularnewline
6 & 0.034779 & 0.2694 & 0.394273 \tabularnewline
7 & 0.093405 & 0.7235 & 0.236089 \tabularnewline
8 & 0.1819 & 1.409 & 0.082 \tabularnewline
9 & 0.006078 & 0.0471 & 0.481302 \tabularnewline
10 & 0.077086 & 0.5971 & 0.276343 \tabularnewline
11 & 0.004342 & 0.0336 & 0.486641 \tabularnewline
12 & -0.282495 & -2.1882 & 0.01628 \tabularnewline
13 & -0.08641 & -0.6693 & 0.252928 \tabularnewline
14 & -0.122088 & -0.9457 & 0.174049 \tabularnewline
15 & 0.010849 & 0.084 & 0.466654 \tabularnewline
16 & -0.011755 & -0.0911 & 0.463877 \tabularnewline
17 & 0.135852 & 1.0523 & 0.148439 \tabularnewline
18 & 0.180828 & 1.4007 & 0.083229 \tabularnewline
19 & -0.042503 & -0.3292 & 0.371566 \tabularnewline
20 & 0.014358 & 0.1112 & 0.455908 \tabularnewline
21 & 0.108046 & 0.8369 & 0.20298 \tabularnewline
22 & -0.098457 & -0.7626 & 0.224331 \tabularnewline
23 & 0.133987 & 1.0379 & 0.151751 \tabularnewline
24 & -0.030041 & -0.2327 & 0.408394 \tabularnewline
25 & -0.037297 & -0.2889 & 0.386827 \tabularnewline
26 & 0.073397 & 0.5685 & 0.285899 \tabularnewline
27 & -0.130311 & -1.0094 & 0.158421 \tabularnewline
28 & 0.022387 & 0.1734 & 0.431457 \tabularnewline
29 & -0.201128 & -1.5579 & 0.062254 \tabularnewline
30 & -0.297642 & -2.3055 & 0.012305 \tabularnewline
31 & -0.064745 & -0.5015 & 0.308923 \tabularnewline
32 & -0.103055 & -0.7983 & 0.213933 \tabularnewline
33 & -0.157077 & -1.2167 & 0.114239 \tabularnewline
34 & -0.058623 & -0.4541 & 0.325701 \tabularnewline
35 & -0.176293 & -1.3656 & 0.088587 \tabularnewline
36 & -0.063526 & -0.4921 & 0.312233 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=28891&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]0.201031[/C][C]1.5572[/C][C]0.062344[/C][/ROW]
[ROW][C]2[/C][C]0.238919[/C][C]1.8507[/C][C]0.034572[/C][/ROW]
[ROW][C]3[/C][C]0.240016[/C][C]1.8592[/C][C]0.033955[/C][/ROW]
[ROW][C]4[/C][C]-0.014608[/C][C]-0.1132[/C][C]0.455143[/C][/ROW]
[ROW][C]5[/C][C]0.16925[/C][C]1.311[/C][C]0.097426[/C][/ROW]
[ROW][C]6[/C][C]0.034779[/C][C]0.2694[/C][C]0.394273[/C][/ROW]
[ROW][C]7[/C][C]0.093405[/C][C]0.7235[/C][C]0.236089[/C][/ROW]
[ROW][C]8[/C][C]0.1819[/C][C]1.409[/C][C]0.082[/C][/ROW]
[ROW][C]9[/C][C]0.006078[/C][C]0.0471[/C][C]0.481302[/C][/ROW]
[ROW][C]10[/C][C]0.077086[/C][C]0.5971[/C][C]0.276343[/C][/ROW]
[ROW][C]11[/C][C]0.004342[/C][C]0.0336[/C][C]0.486641[/C][/ROW]
[ROW][C]12[/C][C]-0.282495[/C][C]-2.1882[/C][C]0.01628[/C][/ROW]
[ROW][C]13[/C][C]-0.08641[/C][C]-0.6693[/C][C]0.252928[/C][/ROW]
[ROW][C]14[/C][C]-0.122088[/C][C]-0.9457[/C][C]0.174049[/C][/ROW]
[ROW][C]15[/C][C]0.010849[/C][C]0.084[/C][C]0.466654[/C][/ROW]
[ROW][C]16[/C][C]-0.011755[/C][C]-0.0911[/C][C]0.463877[/C][/ROW]
[ROW][C]17[/C][C]0.135852[/C][C]1.0523[/C][C]0.148439[/C][/ROW]
[ROW][C]18[/C][C]0.180828[/C][C]1.4007[/C][C]0.083229[/C][/ROW]
[ROW][C]19[/C][C]-0.042503[/C][C]-0.3292[/C][C]0.371566[/C][/ROW]
[ROW][C]20[/C][C]0.014358[/C][C]0.1112[/C][C]0.455908[/C][/ROW]
[ROW][C]21[/C][C]0.108046[/C][C]0.8369[/C][C]0.20298[/C][/ROW]
[ROW][C]22[/C][C]-0.098457[/C][C]-0.7626[/C][C]0.224331[/C][/ROW]
[ROW][C]23[/C][C]0.133987[/C][C]1.0379[/C][C]0.151751[/C][/ROW]
[ROW][C]24[/C][C]-0.030041[/C][C]-0.2327[/C][C]0.408394[/C][/ROW]
[ROW][C]25[/C][C]-0.037297[/C][C]-0.2889[/C][C]0.386827[/C][/ROW]
[ROW][C]26[/C][C]0.073397[/C][C]0.5685[/C][C]0.285899[/C][/ROW]
[ROW][C]27[/C][C]-0.130311[/C][C]-1.0094[/C][C]0.158421[/C][/ROW]
[ROW][C]28[/C][C]0.022387[/C][C]0.1734[/C][C]0.431457[/C][/ROW]
[ROW][C]29[/C][C]-0.201128[/C][C]-1.5579[/C][C]0.062254[/C][/ROW]
[ROW][C]30[/C][C]-0.297642[/C][C]-2.3055[/C][C]0.012305[/C][/ROW]
[ROW][C]31[/C][C]-0.064745[/C][C]-0.5015[/C][C]0.308923[/C][/ROW]
[ROW][C]32[/C][C]-0.103055[/C][C]-0.7983[/C][C]0.213933[/C][/ROW]
[ROW][C]33[/C][C]-0.157077[/C][C]-1.2167[/C][C]0.114239[/C][/ROW]
[ROW][C]34[/C][C]-0.058623[/C][C]-0.4541[/C][C]0.325701[/C][/ROW]
[ROW][C]35[/C][C]-0.176293[/C][C]-1.3656[/C][C]0.088587[/C][/ROW]
[ROW][C]36[/C][C]-0.063526[/C][C]-0.4921[/C][C]0.312233[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=28891&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=28891&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
10.2010311.55720.062344
20.2389191.85070.034572
30.2400161.85920.033955
4-0.014608-0.11320.455143
50.169251.3110.097426
60.0347790.26940.394273
70.0934050.72350.236089
80.18191.4090.082
90.0060780.04710.481302
100.0770860.59710.276343
110.0043420.03360.486641
12-0.282495-2.18820.01628
13-0.08641-0.66930.252928
14-0.122088-0.94570.174049
150.0108490.0840.466654
16-0.011755-0.09110.463877
170.1358521.05230.148439
180.1808281.40070.083229
19-0.042503-0.32920.371566
200.0143580.11120.455908
210.1080460.83690.20298
22-0.098457-0.76260.224331
230.1339871.03790.151751
24-0.030041-0.23270.408394
25-0.037297-0.28890.386827
260.0733970.56850.285899
27-0.130311-1.00940.158421
280.0223870.17340.431457
29-0.201128-1.55790.062254
30-0.297642-2.30550.012305
31-0.064745-0.50150.308923
32-0.103055-0.79830.213933
33-0.157077-1.21670.114239
34-0.058623-0.45410.325701
35-0.176293-1.36560.088587
36-0.063526-0.49210.312233







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.2010311.55720.062344
20.2068651.60240.057163
30.1745581.35210.090706
4-0.137082-1.06180.146284
50.1194240.92510.179322
6-0.020259-0.15690.437915
70.0825320.63930.262535
80.1082960.83890.202439
9-0.051105-0.39590.346808
10-0.018762-0.14530.44247
11-0.040688-0.31520.376864
12-0.317892-2.46240.008345
13-0.048031-0.3720.355586
140.026810.20770.418096
150.172961.33970.09269
16-0.053752-0.41640.339316
170.2569281.99020.025568
180.1315991.01940.156063
19-0.096243-0.74550.229441
20-0.060854-0.47140.319542
210.1900911.47240.073065
22-0.172838-1.33880.092844
230.1096410.84930.199551
24-0.248041-1.92130.029723
25-0.153187-1.18660.120035
26-0.092695-0.7180.237768
270.0483810.37480.35458
28-0.086769-0.67210.252048
29-0.02569-0.1990.42147
30-0.136576-1.05790.147168
310.0892160.69110.246094
320.0672090.52060.302282
330.0778020.60270.274506
34-0.115135-0.89180.188023
350.0038790.030.488064
36-0.07509-0.58160.281494

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.201031 & 1.5572 & 0.062344 \tabularnewline
2 & 0.206865 & 1.6024 & 0.057163 \tabularnewline
3 & 0.174558 & 1.3521 & 0.090706 \tabularnewline
4 & -0.137082 & -1.0618 & 0.146284 \tabularnewline
5 & 0.119424 & 0.9251 & 0.179322 \tabularnewline
6 & -0.020259 & -0.1569 & 0.437915 \tabularnewline
7 & 0.082532 & 0.6393 & 0.262535 \tabularnewline
8 & 0.108296 & 0.8389 & 0.202439 \tabularnewline
9 & -0.051105 & -0.3959 & 0.346808 \tabularnewline
10 & -0.018762 & -0.1453 & 0.44247 \tabularnewline
11 & -0.040688 & -0.3152 & 0.376864 \tabularnewline
12 & -0.317892 & -2.4624 & 0.008345 \tabularnewline
13 & -0.048031 & -0.372 & 0.355586 \tabularnewline
14 & 0.02681 & 0.2077 & 0.418096 \tabularnewline
15 & 0.17296 & 1.3397 & 0.09269 \tabularnewline
16 & -0.053752 & -0.4164 & 0.339316 \tabularnewline
17 & 0.256928 & 1.9902 & 0.025568 \tabularnewline
18 & 0.131599 & 1.0194 & 0.156063 \tabularnewline
19 & -0.096243 & -0.7455 & 0.229441 \tabularnewline
20 & -0.060854 & -0.4714 & 0.319542 \tabularnewline
21 & 0.190091 & 1.4724 & 0.073065 \tabularnewline
22 & -0.172838 & -1.3388 & 0.092844 \tabularnewline
23 & 0.109641 & 0.8493 & 0.199551 \tabularnewline
24 & -0.248041 & -1.9213 & 0.029723 \tabularnewline
25 & -0.153187 & -1.1866 & 0.120035 \tabularnewline
26 & -0.092695 & -0.718 & 0.237768 \tabularnewline
27 & 0.048381 & 0.3748 & 0.35458 \tabularnewline
28 & -0.086769 & -0.6721 & 0.252048 \tabularnewline
29 & -0.02569 & -0.199 & 0.42147 \tabularnewline
30 & -0.136576 & -1.0579 & 0.147168 \tabularnewline
31 & 0.089216 & 0.6911 & 0.246094 \tabularnewline
32 & 0.067209 & 0.5206 & 0.302282 \tabularnewline
33 & 0.077802 & 0.6027 & 0.274506 \tabularnewline
34 & -0.115135 & -0.8918 & 0.188023 \tabularnewline
35 & 0.003879 & 0.03 & 0.488064 \tabularnewline
36 & -0.07509 & -0.5816 & 0.281494 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=28891&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]0.201031[/C][C]1.5572[/C][C]0.062344[/C][/ROW]
[ROW][C]2[/C][C]0.206865[/C][C]1.6024[/C][C]0.057163[/C][/ROW]
[ROW][C]3[/C][C]0.174558[/C][C]1.3521[/C][C]0.090706[/C][/ROW]
[ROW][C]4[/C][C]-0.137082[/C][C]-1.0618[/C][C]0.146284[/C][/ROW]
[ROW][C]5[/C][C]0.119424[/C][C]0.9251[/C][C]0.179322[/C][/ROW]
[ROW][C]6[/C][C]-0.020259[/C][C]-0.1569[/C][C]0.437915[/C][/ROW]
[ROW][C]7[/C][C]0.082532[/C][C]0.6393[/C][C]0.262535[/C][/ROW]
[ROW][C]8[/C][C]0.108296[/C][C]0.8389[/C][C]0.202439[/C][/ROW]
[ROW][C]9[/C][C]-0.051105[/C][C]-0.3959[/C][C]0.346808[/C][/ROW]
[ROW][C]10[/C][C]-0.018762[/C][C]-0.1453[/C][C]0.44247[/C][/ROW]
[ROW][C]11[/C][C]-0.040688[/C][C]-0.3152[/C][C]0.376864[/C][/ROW]
[ROW][C]12[/C][C]-0.317892[/C][C]-2.4624[/C][C]0.008345[/C][/ROW]
[ROW][C]13[/C][C]-0.048031[/C][C]-0.372[/C][C]0.355586[/C][/ROW]
[ROW][C]14[/C][C]0.02681[/C][C]0.2077[/C][C]0.418096[/C][/ROW]
[ROW][C]15[/C][C]0.17296[/C][C]1.3397[/C][C]0.09269[/C][/ROW]
[ROW][C]16[/C][C]-0.053752[/C][C]-0.4164[/C][C]0.339316[/C][/ROW]
[ROW][C]17[/C][C]0.256928[/C][C]1.9902[/C][C]0.025568[/C][/ROW]
[ROW][C]18[/C][C]0.131599[/C][C]1.0194[/C][C]0.156063[/C][/ROW]
[ROW][C]19[/C][C]-0.096243[/C][C]-0.7455[/C][C]0.229441[/C][/ROW]
[ROW][C]20[/C][C]-0.060854[/C][C]-0.4714[/C][C]0.319542[/C][/ROW]
[ROW][C]21[/C][C]0.190091[/C][C]1.4724[/C][C]0.073065[/C][/ROW]
[ROW][C]22[/C][C]-0.172838[/C][C]-1.3388[/C][C]0.092844[/C][/ROW]
[ROW][C]23[/C][C]0.109641[/C][C]0.8493[/C][C]0.199551[/C][/ROW]
[ROW][C]24[/C][C]-0.248041[/C][C]-1.9213[/C][C]0.029723[/C][/ROW]
[ROW][C]25[/C][C]-0.153187[/C][C]-1.1866[/C][C]0.120035[/C][/ROW]
[ROW][C]26[/C][C]-0.092695[/C][C]-0.718[/C][C]0.237768[/C][/ROW]
[ROW][C]27[/C][C]0.048381[/C][C]0.3748[/C][C]0.35458[/C][/ROW]
[ROW][C]28[/C][C]-0.086769[/C][C]-0.6721[/C][C]0.252048[/C][/ROW]
[ROW][C]29[/C][C]-0.02569[/C][C]-0.199[/C][C]0.42147[/C][/ROW]
[ROW][C]30[/C][C]-0.136576[/C][C]-1.0579[/C][C]0.147168[/C][/ROW]
[ROW][C]31[/C][C]0.089216[/C][C]0.6911[/C][C]0.246094[/C][/ROW]
[ROW][C]32[/C][C]0.067209[/C][C]0.5206[/C][C]0.302282[/C][/ROW]
[ROW][C]33[/C][C]0.077802[/C][C]0.6027[/C][C]0.274506[/C][/ROW]
[ROW][C]34[/C][C]-0.115135[/C][C]-0.8918[/C][C]0.188023[/C][/ROW]
[ROW][C]35[/C][C]0.003879[/C][C]0.03[/C][C]0.488064[/C][/ROW]
[ROW][C]36[/C][C]-0.07509[/C][C]-0.5816[/C][C]0.281494[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=28891&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=28891&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
10.2010311.55720.062344
20.2068651.60240.057163
30.1745581.35210.090706
4-0.137082-1.06180.146284
50.1194240.92510.179322
6-0.020259-0.15690.437915
70.0825320.63930.262535
80.1082960.83890.202439
9-0.051105-0.39590.346808
10-0.018762-0.14530.44247
11-0.040688-0.31520.376864
12-0.317892-2.46240.008345
13-0.048031-0.3720.355586
140.026810.20770.418096
150.172961.33970.09269
16-0.053752-0.41640.339316
170.2569281.99020.025568
180.1315991.01940.156063
19-0.096243-0.74550.229441
20-0.060854-0.47140.319542
210.1900911.47240.073065
22-0.172838-1.33880.092844
230.1096410.84930.199551
24-0.248041-1.92130.029723
25-0.153187-1.18660.120035
26-0.092695-0.7180.237768
270.0483810.37480.35458
28-0.086769-0.67210.252048
29-0.02569-0.1990.42147
30-0.136576-1.05790.147168
310.0892160.69110.246094
320.0672090.52060.302282
330.0778020.60270.274506
34-0.115135-0.89180.188023
350.0038790.030.488064
36-0.07509-0.58160.281494



Parameters (Session):
par1 = 36 ; par2 = 1 ; par3 = 0 ; par4 = 1 ; par5 = 12 ;
Parameters (R input):
par1 = 36 ; par2 = 1 ; par3 = 0 ; par4 = 1 ; 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')