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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 computationThu, 11 Dec 2008 03:49:08 -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/11/t1228992579rajwahjsyv9jwn5.htm/, Retrieved Sun, 19 May 2024 05:54:43 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=32161, Retrieved Sun, 19 May 2024 05:54:43 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordspaper
Estimated Impact197
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [Law of Averages] [Random Walk Simul...] [2008-11-25 17:50:19] [b98453cac15ba1066b407e146608df68]
F       [Law of Averages] [Law of Averages] [2008-11-30 14:45:18] [415d0222c17b651a9576eaac006f530d]
- RMPD      [(Partial) Autocorrelation Function] [(P)ACF] [2008-12-11 10:49:08] [bb7e3816cefc365f4d7adcd50784b783] [Current]
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Dataseries X:
8.2
8
7.5
6.8
6.5
6.6
7.6
8
8
7.7
7.5
7.6
7.7
7.9
7.8
7.5
7.5
7.1
7.5
7.5
7.6
7.7
7.7
7.9
8.1
8.2
8.2
8.1
7.9
7.3
6.9
6.6
6.7
6.9
7
7.1
7.2
7.1
6.9
7
6.8
6.4
6.7
6.7
6.4
6.3
6.2
6.5




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=32161&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=32161&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=32161&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
10.78173.82950.000405
20.5017592.45810.010784
30.2278481.11620.13769
40.0058630.02870.488662
5-0.114112-0.5590.290659
6-0.244305-1.19680.121528
7-0.281198-1.37760.090522
8-0.302848-1.48360.075459
9-0.317295-1.55440.066587
10-0.283668-1.38970.088691
11-0.263777-1.29220.104289
12-0.258459-1.26620.1088
13-0.247111-1.21060.11892
14-0.25536-1.2510.111496
15-0.192253-0.94180.177829
16-0.080067-0.39220.349169
170.0503770.24680.403583
180.2030990.9950.164837
190.2048991.00380.162745
200.1505860.73770.233919
210.0954360.46750.322167
220.06340.31060.379394
230.0554860.27180.394041
24NANANA
25NANANA
26NANANA
27NANANA
28NANANA
29NANANA
30NANANA
31NANANA
32NANANA
33NANANA
34NANANA
35NANANA
36NANANA
37NANANA
38NANANA
39NANANA
40NANANA
41NANANA
42NANANA
43NANANA
44NANANA
45NANANA
46NANANA
47NANANA
48NANANA

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.7817 & 3.8295 & 0.000405 \tabularnewline
2 & 0.501759 & 2.4581 & 0.010784 \tabularnewline
3 & 0.227848 & 1.1162 & 0.13769 \tabularnewline
4 & 0.005863 & 0.0287 & 0.488662 \tabularnewline
5 & -0.114112 & -0.559 & 0.290659 \tabularnewline
6 & -0.244305 & -1.1968 & 0.121528 \tabularnewline
7 & -0.281198 & -1.3776 & 0.090522 \tabularnewline
8 & -0.302848 & -1.4836 & 0.075459 \tabularnewline
9 & -0.317295 & -1.5544 & 0.066587 \tabularnewline
10 & -0.283668 & -1.3897 & 0.088691 \tabularnewline
11 & -0.263777 & -1.2922 & 0.104289 \tabularnewline
12 & -0.258459 & -1.2662 & 0.1088 \tabularnewline
13 & -0.247111 & -1.2106 & 0.11892 \tabularnewline
14 & -0.25536 & -1.251 & 0.111496 \tabularnewline
15 & -0.192253 & -0.9418 & 0.177829 \tabularnewline
16 & -0.080067 & -0.3922 & 0.349169 \tabularnewline
17 & 0.050377 & 0.2468 & 0.403583 \tabularnewline
18 & 0.203099 & 0.995 & 0.164837 \tabularnewline
19 & 0.204899 & 1.0038 & 0.162745 \tabularnewline
20 & 0.150586 & 0.7377 & 0.233919 \tabularnewline
21 & 0.095436 & 0.4675 & 0.322167 \tabularnewline
22 & 0.0634 & 0.3106 & 0.379394 \tabularnewline
23 & 0.055486 & 0.2718 & 0.394041 \tabularnewline
24 & NA & NA & NA \tabularnewline
25 & NA & NA & NA \tabularnewline
26 & NA & NA & NA \tabularnewline
27 & NA & NA & NA \tabularnewline
28 & NA & NA & NA \tabularnewline
29 & NA & NA & NA \tabularnewline
30 & NA & NA & NA \tabularnewline
31 & NA & NA & NA \tabularnewline
32 & NA & NA & NA \tabularnewline
33 & NA & NA & NA \tabularnewline
34 & NA & NA & NA \tabularnewline
35 & NA & NA & NA \tabularnewline
36 & NA & NA & NA \tabularnewline
37 & NA & NA & NA \tabularnewline
38 & NA & NA & NA \tabularnewline
39 & NA & NA & NA \tabularnewline
40 & NA & NA & NA \tabularnewline
41 & NA & NA & NA \tabularnewline
42 & NA & NA & NA \tabularnewline
43 & NA & NA & NA \tabularnewline
44 & NA & NA & NA \tabularnewline
45 & NA & NA & NA \tabularnewline
46 & NA & NA & NA \tabularnewline
47 & NA & NA & NA \tabularnewline
48 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=32161&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]0.7817[/C][C]3.8295[/C][C]0.000405[/C][/ROW]
[ROW][C]2[/C][C]0.501759[/C][C]2.4581[/C][C]0.010784[/C][/ROW]
[ROW][C]3[/C][C]0.227848[/C][C]1.1162[/C][C]0.13769[/C][/ROW]
[ROW][C]4[/C][C]0.005863[/C][C]0.0287[/C][C]0.488662[/C][/ROW]
[ROW][C]5[/C][C]-0.114112[/C][C]-0.559[/C][C]0.290659[/C][/ROW]
[ROW][C]6[/C][C]-0.244305[/C][C]-1.1968[/C][C]0.121528[/C][/ROW]
[ROW][C]7[/C][C]-0.281198[/C][C]-1.3776[/C][C]0.090522[/C][/ROW]
[ROW][C]8[/C][C]-0.302848[/C][C]-1.4836[/C][C]0.075459[/C][/ROW]
[ROW][C]9[/C][C]-0.317295[/C][C]-1.5544[/C][C]0.066587[/C][/ROW]
[ROW][C]10[/C][C]-0.283668[/C][C]-1.3897[/C][C]0.088691[/C][/ROW]
[ROW][C]11[/C][C]-0.263777[/C][C]-1.2922[/C][C]0.104289[/C][/ROW]
[ROW][C]12[/C][C]-0.258459[/C][C]-1.2662[/C][C]0.1088[/C][/ROW]
[ROW][C]13[/C][C]-0.247111[/C][C]-1.2106[/C][C]0.11892[/C][/ROW]
[ROW][C]14[/C][C]-0.25536[/C][C]-1.251[/C][C]0.111496[/C][/ROW]
[ROW][C]15[/C][C]-0.192253[/C][C]-0.9418[/C][C]0.177829[/C][/ROW]
[ROW][C]16[/C][C]-0.080067[/C][C]-0.3922[/C][C]0.349169[/C][/ROW]
[ROW][C]17[/C][C]0.050377[/C][C]0.2468[/C][C]0.403583[/C][/ROW]
[ROW][C]18[/C][C]0.203099[/C][C]0.995[/C][C]0.164837[/C][/ROW]
[ROW][C]19[/C][C]0.204899[/C][C]1.0038[/C][C]0.162745[/C][/ROW]
[ROW][C]20[/C][C]0.150586[/C][C]0.7377[/C][C]0.233919[/C][/ROW]
[ROW][C]21[/C][C]0.095436[/C][C]0.4675[/C][C]0.322167[/C][/ROW]
[ROW][C]22[/C][C]0.0634[/C][C]0.3106[/C][C]0.379394[/C][/ROW]
[ROW][C]23[/C][C]0.055486[/C][C]0.2718[/C][C]0.394041[/C][/ROW]
[ROW][C]24[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]25[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]26[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]27[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]28[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]29[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]30[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]31[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]32[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]33[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]34[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]35[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]36[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]37[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]38[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]39[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]40[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]41[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]42[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]43[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]44[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]45[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]46[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]47[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]48[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=32161&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=32161&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
10.78173.82950.000405
20.5017592.45810.010784
30.2278481.11620.13769
40.0058630.02870.488662
5-0.114112-0.5590.290659
6-0.244305-1.19680.121528
7-0.281198-1.37760.090522
8-0.302848-1.48360.075459
9-0.317295-1.55440.066587
10-0.283668-1.38970.088691
11-0.263777-1.29220.104289
12-0.258459-1.26620.1088
13-0.247111-1.21060.11892
14-0.25536-1.2510.111496
15-0.192253-0.94180.177829
16-0.080067-0.39220.349169
170.0503770.24680.403583
180.2030990.9950.164837
190.2048991.00380.162745
200.1505860.73770.233919
210.0954360.46750.322167
220.06340.31060.379394
230.0554860.27180.394041
24NANANA
25NANANA
26NANANA
27NANANA
28NANANA
29NANANA
30NANANA
31NANANA
32NANANA
33NANANA
34NANANA
35NANANA
36NANANA
37NANANA
38NANANA
39NANANA
40NANANA
41NANANA
42NANANA
43NANANA
44NANANA
45NANANA
46NANANA
47NANANA
48NANANA







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.78173.82950.000405
2-0.281007-1.37660.090664
3-0.153342-0.75120.229912
4-0.081925-0.40130.345858
50.0384310.18830.426124
6-0.25967-1.27210.10776
70.0916740.44910.328692
8-0.145124-0.7110.241981
9-0.096751-0.4740.319899
10-0.018081-0.08860.465077
11-0.084896-0.41590.340587
12-0.207086-1.01450.160229
13-0.027627-0.13530.446735
14-0.18311-0.89710.189301
150.0528360.25880.398982
160.0378980.18570.427135
170.0269230.13190.448084
180.0604240.2960.384883
19-0.28812-1.41150.085467
20-0.107644-0.52730.301398
210.0274120.13430.447147
220.0252420.12370.451307
23-0.133327-0.65320.259929
24NANANA
25NANANA
26NANANA
27NANANA
28NANANA
29NANANA
30NANANA
31NANANA
32NANANA
33NANANA
34NANANA
35NANANA
36NANANA
37NANANA
38NANANA
39NANANA
40NANANA
41NANANA
42NANANA
43NANANA
44NANANA
45NANANA
46NANANA
47NANANA
48NANANA

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.7817 & 3.8295 & 0.000405 \tabularnewline
2 & -0.281007 & -1.3766 & 0.090664 \tabularnewline
3 & -0.153342 & -0.7512 & 0.229912 \tabularnewline
4 & -0.081925 & -0.4013 & 0.345858 \tabularnewline
5 & 0.038431 & 0.1883 & 0.426124 \tabularnewline
6 & -0.25967 & -1.2721 & 0.10776 \tabularnewline
7 & 0.091674 & 0.4491 & 0.328692 \tabularnewline
8 & -0.145124 & -0.711 & 0.241981 \tabularnewline
9 & -0.096751 & -0.474 & 0.319899 \tabularnewline
10 & -0.018081 & -0.0886 & 0.465077 \tabularnewline
11 & -0.084896 & -0.4159 & 0.340587 \tabularnewline
12 & -0.207086 & -1.0145 & 0.160229 \tabularnewline
13 & -0.027627 & -0.1353 & 0.446735 \tabularnewline
14 & -0.18311 & -0.8971 & 0.189301 \tabularnewline
15 & 0.052836 & 0.2588 & 0.398982 \tabularnewline
16 & 0.037898 & 0.1857 & 0.427135 \tabularnewline
17 & 0.026923 & 0.1319 & 0.448084 \tabularnewline
18 & 0.060424 & 0.296 & 0.384883 \tabularnewline
19 & -0.28812 & -1.4115 & 0.085467 \tabularnewline
20 & -0.107644 & -0.5273 & 0.301398 \tabularnewline
21 & 0.027412 & 0.1343 & 0.447147 \tabularnewline
22 & 0.025242 & 0.1237 & 0.451307 \tabularnewline
23 & -0.133327 & -0.6532 & 0.259929 \tabularnewline
24 & NA & NA & NA \tabularnewline
25 & NA & NA & NA \tabularnewline
26 & NA & NA & NA \tabularnewline
27 & NA & NA & NA \tabularnewline
28 & NA & NA & NA \tabularnewline
29 & NA & NA & NA \tabularnewline
30 & NA & NA & NA \tabularnewline
31 & NA & NA & NA \tabularnewline
32 & NA & NA & NA \tabularnewline
33 & NA & NA & NA \tabularnewline
34 & NA & NA & NA \tabularnewline
35 & NA & NA & NA \tabularnewline
36 & NA & NA & NA \tabularnewline
37 & NA & NA & NA \tabularnewline
38 & NA & NA & NA \tabularnewline
39 & NA & NA & NA \tabularnewline
40 & NA & NA & NA \tabularnewline
41 & NA & NA & NA \tabularnewline
42 & NA & NA & NA \tabularnewline
43 & NA & NA & NA \tabularnewline
44 & NA & NA & NA \tabularnewline
45 & NA & NA & NA \tabularnewline
46 & NA & NA & NA \tabularnewline
47 & NA & NA & NA \tabularnewline
48 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=32161&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]0.7817[/C][C]3.8295[/C][C]0.000405[/C][/ROW]
[ROW][C]2[/C][C]-0.281007[/C][C]-1.3766[/C][C]0.090664[/C][/ROW]
[ROW][C]3[/C][C]-0.153342[/C][C]-0.7512[/C][C]0.229912[/C][/ROW]
[ROW][C]4[/C][C]-0.081925[/C][C]-0.4013[/C][C]0.345858[/C][/ROW]
[ROW][C]5[/C][C]0.038431[/C][C]0.1883[/C][C]0.426124[/C][/ROW]
[ROW][C]6[/C][C]-0.25967[/C][C]-1.2721[/C][C]0.10776[/C][/ROW]
[ROW][C]7[/C][C]0.091674[/C][C]0.4491[/C][C]0.328692[/C][/ROW]
[ROW][C]8[/C][C]-0.145124[/C][C]-0.711[/C][C]0.241981[/C][/ROW]
[ROW][C]9[/C][C]-0.096751[/C][C]-0.474[/C][C]0.319899[/C][/ROW]
[ROW][C]10[/C][C]-0.018081[/C][C]-0.0886[/C][C]0.465077[/C][/ROW]
[ROW][C]11[/C][C]-0.084896[/C][C]-0.4159[/C][C]0.340587[/C][/ROW]
[ROW][C]12[/C][C]-0.207086[/C][C]-1.0145[/C][C]0.160229[/C][/ROW]
[ROW][C]13[/C][C]-0.027627[/C][C]-0.1353[/C][C]0.446735[/C][/ROW]
[ROW][C]14[/C][C]-0.18311[/C][C]-0.8971[/C][C]0.189301[/C][/ROW]
[ROW][C]15[/C][C]0.052836[/C][C]0.2588[/C][C]0.398982[/C][/ROW]
[ROW][C]16[/C][C]0.037898[/C][C]0.1857[/C][C]0.427135[/C][/ROW]
[ROW][C]17[/C][C]0.026923[/C][C]0.1319[/C][C]0.448084[/C][/ROW]
[ROW][C]18[/C][C]0.060424[/C][C]0.296[/C][C]0.384883[/C][/ROW]
[ROW][C]19[/C][C]-0.28812[/C][C]-1.4115[/C][C]0.085467[/C][/ROW]
[ROW][C]20[/C][C]-0.107644[/C][C]-0.5273[/C][C]0.301398[/C][/ROW]
[ROW][C]21[/C][C]0.027412[/C][C]0.1343[/C][C]0.447147[/C][/ROW]
[ROW][C]22[/C][C]0.025242[/C][C]0.1237[/C][C]0.451307[/C][/ROW]
[ROW][C]23[/C][C]-0.133327[/C][C]-0.6532[/C][C]0.259929[/C][/ROW]
[ROW][C]24[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]25[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]26[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]27[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]28[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]29[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]30[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]31[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]32[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]33[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]34[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]35[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]36[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]37[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]38[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]39[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]40[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]41[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]42[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]43[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]44[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]45[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]46[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]47[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]48[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=32161&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=32161&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
10.78173.82950.000405
2-0.281007-1.37660.090664
3-0.153342-0.75120.229912
4-0.081925-0.40130.345858
50.0384310.18830.426124
6-0.25967-1.27210.10776
70.0916740.44910.328692
8-0.145124-0.7110.241981
9-0.096751-0.4740.319899
10-0.018081-0.08860.465077
11-0.084896-0.41590.340587
12-0.207086-1.01450.160229
13-0.027627-0.13530.446735
14-0.18311-0.89710.189301
150.0528360.25880.398982
160.0378980.18570.427135
170.0269230.13190.448084
180.0604240.2960.384883
19-0.28812-1.41150.085467
20-0.107644-0.52730.301398
210.0274120.13430.447147
220.0252420.12370.451307
23-0.133327-0.65320.259929
24NANANA
25NANANA
26NANANA
27NANANA
28NANANA
29NANANA
30NANANA
31NANANA
32NANANA
33NANANA
34NANANA
35NANANA
36NANANA
37NANANA
38NANANA
39NANANA
40NANANA
41NANANA
42NANANA
43NANANA
44NANANA
45NANANA
46NANANA
47NANANA
48NANANA



Parameters (Session):
par1 = 48 ; par2 = 1 ; par3 = 0 ; par4 = 2 ; par5 = 12 ;
Parameters (R input):
par1 = 48 ; par2 = 1 ; par3 = 0 ; par4 = 2 ; 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')