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Description of Statistical Computation

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 computationSat, 19 Dec 2009 02:43:35 -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/2009/Dec/19/t1261216092l974cn7e508klu6.htm/, Retrieved Sun, 28 Apr 2024 12:48:57 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=69469, Retrieved Sun, 28 Apr 2024 12:48:57 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact179

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Explorative Data Analysis] [Run Sequence gebo...] [2008-12-12 13:32:37] [76963dc1903f0f612b6153510a3818cf]
- R  D  [Univariate Explorative Data Analysis] [Run Sequence gebo...] [2008-12-17 12:14:40] [76963dc1903f0f612b6153510a3818cf]
-         [Univariate Explorative Data Analysis] [Run Sequence Plot...] [2008-12-22 18:19:51] [1ce0d16c8f4225c977b42c8fa93bc163]
- RMP       [(Partial) Autocorrelation Function] [Identifying Integ...] [2009-11-22 12:16:10] [b98453cac15ba1066b407e146608df68]
-    D        [(Partial) Autocorrelation Function] [Model 1 (d = 0, D...] [2009-11-24 17:27:24] [ee7c2e7343f5b1451e62c5c16ec521f1]
-    D          [(Partial) Autocorrelation Function] [Methode 1 (D=0, d=0)] [2009-11-27 12:01:23] [76ab39dc7a55316678260825bd5ad46c]
-    D            [(Partial) Autocorrelation Function] [methode 1 (d=0 D= 0)] [2009-11-27 20:21:42] [4b453aa14d54730625f8d3de5f1f6d82]
-    D              [(Partial) Autocorrelation Function] [koffie en thee] [2009-12-16 19:04:55] [7773f496f69461f4a67891f0ef752622]
-   PD                [(Partial) Autocorrelation Function] [Appelen Jonagold ...] [2009-12-17 16:56:03] [7773f496f69461f4a67891f0ef752622]
-   P                     [(Partial) Autocorrelation Function] [Appelen Jonagold ...] [2009-12-19 09:43:35] [5c2088b06970f9a7d6fea063ee8d5871] [Current]
-   PD                      [(Partial) Autocorrelation Function] [WS8 4] [2010-11-25 16:59:27] [717f3d787904f94c39256c5c1fc72d4c]
-    D                        [(Partial) Autocorrelation Function] [WS8 6] [2010-11-25 18:04:29] [717f3d787904f94c39256c5c1fc72d4c]
-    D                      [(Partial) Autocorrelation Function] [biefstuk 3 d=1] [2010-12-14 15:38:53] [3df61981e9f4dafed65341be376c4457]
-    D                      [(Partial) Autocorrelation Function] [biefstuk 3 d=1] [2010-12-14 15:38:53] [3df61981e9f4dafed65341be376c4457]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
1.19
1.18
1.18
1.33
1.3
1.25
1.22
1.17
1.18
1.19
1.21
1.21
1.2
1.2
1.29
1.83
1.85
1.54
1.52
1.43
1.4
1.4
1.39
1.37
1.33
1.36
1.34
1.75
1.84
1.73
1.63
1.5
1.45
1.38
1.38
1.27
1.31
1.29
1.32
1.48
1.39
1.45
1.44
1.44
1.42
1.39
1.4
1.39
1.3
1.32
1.35
1.51
1.37
1.25
1.15
1.09
1.09
1.06
1.02
1.01
1
1
1.05
1.3
1.34
1.24
1.22
1.06
1
1
1
1.01

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\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 & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=69469&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=69469&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=69469&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 computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.1609471.35620.089673
2-0.166496-1.40290.082499
3-0.131411-1.10730.135954
4-0.189286-1.5950.057582
5-0.03144-0.26490.395919
6-0.041233-0.34740.364646
7-0.015014-0.12650.449842
8-0.168236-1.41760.080343
9-0.090999-0.76680.22288
10-0.16796-1.41530.080682
11-0.000445-0.00370.498511
120.5694464.79824e-06
130.1772941.49390.069816
14-0.028424-0.23950.405703
15-0.067574-0.56940.285444
16-0.12686-1.06890.144358
17-0.037164-0.31310.377543
18-0.021175-0.17840.42945
19-0.008464-0.07130.471674
20-0.107031-0.90190.18509
21-0.04716-0.39740.346142
22-0.027592-0.23250.408412
230.1062870.89560.18675
240.2923632.46350.008092
25-0.02885-0.24310.404318
26-0.047688-0.40180.344511
27-0.047213-0.39780.345977
28-0.061422-0.51760.30319
29-0.028588-0.24090.40517
30-0.039205-0.33030.371054
31-0.011997-0.10110.459883
32-0.074144-0.62470.267069
33-0.072638-0.61210.271227
34-0.04604-0.38790.34961
350.1593351.34260.091842
360.327732.76150.003659

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.160947 & 1.3562 & 0.089673 \tabularnewline
2 & -0.166496 & -1.4029 & 0.082499 \tabularnewline
3 & -0.131411 & -1.1073 & 0.135954 \tabularnewline
4 & -0.189286 & -1.595 & 0.057582 \tabularnewline
5 & -0.03144 & -0.2649 & 0.395919 \tabularnewline
6 & -0.041233 & -0.3474 & 0.364646 \tabularnewline
7 & -0.015014 & -0.1265 & 0.449842 \tabularnewline
8 & -0.168236 & -1.4176 & 0.080343 \tabularnewline
9 & -0.090999 & -0.7668 & 0.22288 \tabularnewline
10 & -0.16796 & -1.4153 & 0.080682 \tabularnewline
11 & -0.000445 & -0.0037 & 0.498511 \tabularnewline
12 & 0.569446 & 4.7982 & 4e-06 \tabularnewline
13 & 0.177294 & 1.4939 & 0.069816 \tabularnewline
14 & -0.028424 & -0.2395 & 0.405703 \tabularnewline
15 & -0.067574 & -0.5694 & 0.285444 \tabularnewline
16 & -0.12686 & -1.0689 & 0.144358 \tabularnewline
17 & -0.037164 & -0.3131 & 0.377543 \tabularnewline
18 & -0.021175 & -0.1784 & 0.42945 \tabularnewline
19 & -0.008464 & -0.0713 & 0.471674 \tabularnewline
20 & -0.107031 & -0.9019 & 0.18509 \tabularnewline
21 & -0.04716 & -0.3974 & 0.346142 \tabularnewline
22 & -0.027592 & -0.2325 & 0.408412 \tabularnewline
23 & 0.106287 & 0.8956 & 0.18675 \tabularnewline
24 & 0.292363 & 2.4635 & 0.008092 \tabularnewline
25 & -0.02885 & -0.2431 & 0.404318 \tabularnewline
26 & -0.047688 & -0.4018 & 0.344511 \tabularnewline
27 & -0.047213 & -0.3978 & 0.345977 \tabularnewline
28 & -0.061422 & -0.5176 & 0.30319 \tabularnewline
29 & -0.028588 & -0.2409 & 0.40517 \tabularnewline
30 & -0.039205 & -0.3303 & 0.371054 \tabularnewline
31 & -0.011997 & -0.1011 & 0.459883 \tabularnewline
32 & -0.074144 & -0.6247 & 0.267069 \tabularnewline
33 & -0.072638 & -0.6121 & 0.271227 \tabularnewline
34 & -0.04604 & -0.3879 & 0.34961 \tabularnewline
35 & 0.159335 & 1.3426 & 0.091842 \tabularnewline
36 & 0.32773 & 2.7615 & 0.003659 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=69469&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]0.160947[/C][C]1.3562[/C][C]0.089673[/C][/ROW]
[ROW][C]2[/C][C]-0.166496[/C][C]-1.4029[/C][C]0.082499[/C][/ROW]
[ROW][C]3[/C][C]-0.131411[/C][C]-1.1073[/C][C]0.135954[/C][/ROW]
[ROW][C]4[/C][C]-0.189286[/C][C]-1.595[/C][C]0.057582[/C][/ROW]
[ROW][C]5[/C][C]-0.03144[/C][C]-0.2649[/C][C]0.395919[/C][/ROW]
[ROW][C]6[/C][C]-0.041233[/C][C]-0.3474[/C][C]0.364646[/C][/ROW]
[ROW][C]7[/C][C]-0.015014[/C][C]-0.1265[/C][C]0.449842[/C][/ROW]
[ROW][C]8[/C][C]-0.168236[/C][C]-1.4176[/C][C]0.080343[/C][/ROW]
[ROW][C]9[/C][C]-0.090999[/C][C]-0.7668[/C][C]0.22288[/C][/ROW]
[ROW][C]10[/C][C]-0.16796[/C][C]-1.4153[/C][C]0.080682[/C][/ROW]
[ROW][C]11[/C][C]-0.000445[/C][C]-0.0037[/C][C]0.498511[/C][/ROW]
[ROW][C]12[/C][C]0.569446[/C][C]4.7982[/C][C]4e-06[/C][/ROW]
[ROW][C]13[/C][C]0.177294[/C][C]1.4939[/C][C]0.069816[/C][/ROW]
[ROW][C]14[/C][C]-0.028424[/C][C]-0.2395[/C][C]0.405703[/C][/ROW]
[ROW][C]15[/C][C]-0.067574[/C][C]-0.5694[/C][C]0.285444[/C][/ROW]
[ROW][C]16[/C][C]-0.12686[/C][C]-1.0689[/C][C]0.144358[/C][/ROW]
[ROW][C]17[/C][C]-0.037164[/C][C]-0.3131[/C][C]0.377543[/C][/ROW]
[ROW][C]18[/C][C]-0.021175[/C][C]-0.1784[/C][C]0.42945[/C][/ROW]
[ROW][C]19[/C][C]-0.008464[/C][C]-0.0713[/C][C]0.471674[/C][/ROW]
[ROW][C]20[/C][C]-0.107031[/C][C]-0.9019[/C][C]0.18509[/C][/ROW]
[ROW][C]21[/C][C]-0.04716[/C][C]-0.3974[/C][C]0.346142[/C][/ROW]
[ROW][C]22[/C][C]-0.027592[/C][C]-0.2325[/C][C]0.408412[/C][/ROW]
[ROW][C]23[/C][C]0.106287[/C][C]0.8956[/C][C]0.18675[/C][/ROW]
[ROW][C]24[/C][C]0.292363[/C][C]2.4635[/C][C]0.008092[/C][/ROW]
[ROW][C]25[/C][C]-0.02885[/C][C]-0.2431[/C][C]0.404318[/C][/ROW]
[ROW][C]26[/C][C]-0.047688[/C][C]-0.4018[/C][C]0.344511[/C][/ROW]
[ROW][C]27[/C][C]-0.047213[/C][C]-0.3978[/C][C]0.345977[/C][/ROW]
[ROW][C]28[/C][C]-0.061422[/C][C]-0.5176[/C][C]0.30319[/C][/ROW]
[ROW][C]29[/C][C]-0.028588[/C][C]-0.2409[/C][C]0.40517[/C][/ROW]
[ROW][C]30[/C][C]-0.039205[/C][C]-0.3303[/C][C]0.371054[/C][/ROW]
[ROW][C]31[/C][C]-0.011997[/C][C]-0.1011[/C][C]0.459883[/C][/ROW]
[ROW][C]32[/C][C]-0.074144[/C][C]-0.6247[/C][C]0.267069[/C][/ROW]
[ROW][C]33[/C][C]-0.072638[/C][C]-0.6121[/C][C]0.271227[/C][/ROW]
[ROW][C]34[/C][C]-0.04604[/C][C]-0.3879[/C][C]0.34961[/C][/ROW]
[ROW][C]35[/C][C]0.159335[/C][C]1.3426[/C][C]0.091842[/C][/ROW]
[ROW][C]36[/C][C]0.32773[/C][C]2.7615[/C][C]0.003659[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=69469&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=69469&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
10.1609471.35620.089673
2-0.166496-1.40290.082499
3-0.131411-1.10730.135954
4-0.189286-1.5950.057582
5-0.03144-0.26490.395919
6-0.041233-0.34740.364646
7-0.015014-0.12650.449842
8-0.168236-1.41760.080343
9-0.090999-0.76680.22288
10-0.16796-1.41530.080682
11-0.000445-0.00370.498511
120.5694464.79824e-06
130.1772941.49390.069816
14-0.028424-0.23950.405703
15-0.067574-0.56940.285444
16-0.12686-1.06890.144358
17-0.037164-0.31310.377543
18-0.021175-0.17840.42945
19-0.008464-0.07130.471674
20-0.107031-0.90190.18509
21-0.04716-0.39740.346142
22-0.027592-0.23250.408412
230.1062870.89560.18675
240.2923632.46350.008092
25-0.02885-0.24310.404318
26-0.047688-0.40180.344511
27-0.047213-0.39780.345977
28-0.061422-0.51760.30319
29-0.028588-0.24090.40517
30-0.039205-0.33030.371054
31-0.011997-0.10110.459883
32-0.074144-0.62470.267069
33-0.072638-0.61210.271227
34-0.04604-0.38790.34961
350.1593351.34260.091842
360.327732.76150.003659






Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.1609471.35620.089673
2-0.197516-1.66430.05023
3-0.072142-0.60790.272604
4-0.198439-1.67210.049455
5-0.003865-0.03260.487055
6-0.128584-1.08350.141133
7-0.03434-0.28940.386577
8-0.266777-2.24790.013845
9-0.076531-0.64490.260549
10-0.351053-2.9580.002101
11-0.064268-0.54150.294918
120.4269153.59730.000295
13-0.072129-0.60780.272639
140.0557720.46990.319918
15-0.000613-0.00520.497948
160.014830.1250.450456
17-0.019966-0.16820.433439
180.0050150.04230.483207
19-0.037708-0.31770.375811
200.0230520.19420.423272
21-0.013876-0.11690.453625
220.1809371.52460.0659
230.2320231.95510.027257
24-0.009335-0.07870.468761
25-0.152077-1.28140.102108
260.0245270.20670.418429
27-0.039676-0.33430.369565
280.0209540.17660.430179
29-0.044814-0.37760.353424
30-0.020765-0.1750.4308
310.0075790.06390.47463
320.0026870.02260.491
33-0.073781-0.62170.268068
34-0.091308-0.76940.22211
35-0.071508-0.60250.274368
360.1272271.0720.143667

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.160947 & 1.3562 & 0.089673 \tabularnewline
2 & -0.197516 & -1.6643 & 0.05023 \tabularnewline
3 & -0.072142 & -0.6079 & 0.272604 \tabularnewline
4 & -0.198439 & -1.6721 & 0.049455 \tabularnewline
5 & -0.003865 & -0.0326 & 0.487055 \tabularnewline
6 & -0.128584 & -1.0835 & 0.141133 \tabularnewline
7 & -0.03434 & -0.2894 & 0.386577 \tabularnewline
8 & -0.266777 & -2.2479 & 0.013845 \tabularnewline
9 & -0.076531 & -0.6449 & 0.260549 \tabularnewline
10 & -0.351053 & -2.958 & 0.002101 \tabularnewline
11 & -0.064268 & -0.5415 & 0.294918 \tabularnewline
12 & 0.426915 & 3.5973 & 0.000295 \tabularnewline
13 & -0.072129 & -0.6078 & 0.272639 \tabularnewline
14 & 0.055772 & 0.4699 & 0.319918 \tabularnewline
15 & -0.000613 & -0.0052 & 0.497948 \tabularnewline
16 & 0.01483 & 0.125 & 0.450456 \tabularnewline
17 & -0.019966 & -0.1682 & 0.433439 \tabularnewline
18 & 0.005015 & 0.0423 & 0.483207 \tabularnewline
19 & -0.037708 & -0.3177 & 0.375811 \tabularnewline
20 & 0.023052 & 0.1942 & 0.423272 \tabularnewline
21 & -0.013876 & -0.1169 & 0.453625 \tabularnewline
22 & 0.180937 & 1.5246 & 0.0659 \tabularnewline
23 & 0.232023 & 1.9551 & 0.027257 \tabularnewline
24 & -0.009335 & -0.0787 & 0.468761 \tabularnewline
25 & -0.152077 & -1.2814 & 0.102108 \tabularnewline
26 & 0.024527 & 0.2067 & 0.418429 \tabularnewline
27 & -0.039676 & -0.3343 & 0.369565 \tabularnewline
28 & 0.020954 & 0.1766 & 0.430179 \tabularnewline
29 & -0.044814 & -0.3776 & 0.353424 \tabularnewline
30 & -0.020765 & -0.175 & 0.4308 \tabularnewline
31 & 0.007579 & 0.0639 & 0.47463 \tabularnewline
32 & 0.002687 & 0.0226 & 0.491 \tabularnewline
33 & -0.073781 & -0.6217 & 0.268068 \tabularnewline
34 & -0.091308 & -0.7694 & 0.22211 \tabularnewline
35 & -0.071508 & -0.6025 & 0.274368 \tabularnewline
36 & 0.127227 & 1.072 & 0.143667 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=69469&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]0.160947[/C][C]1.3562[/C][C]0.089673[/C][/ROW]
[ROW][C]2[/C][C]-0.197516[/C][C]-1.6643[/C][C]0.05023[/C][/ROW]
[ROW][C]3[/C][C]-0.072142[/C][C]-0.6079[/C][C]0.272604[/C][/ROW]
[ROW][C]4[/C][C]-0.198439[/C][C]-1.6721[/C][C]0.049455[/C][/ROW]
[ROW][C]5[/C][C]-0.003865[/C][C]-0.0326[/C][C]0.487055[/C][/ROW]
[ROW][C]6[/C][C]-0.128584[/C][C]-1.0835[/C][C]0.141133[/C][/ROW]
[ROW][C]7[/C][C]-0.03434[/C][C]-0.2894[/C][C]0.386577[/C][/ROW]
[ROW][C]8[/C][C]-0.266777[/C][C]-2.2479[/C][C]0.013845[/C][/ROW]
[ROW][C]9[/C][C]-0.076531[/C][C]-0.6449[/C][C]0.260549[/C][/ROW]
[ROW][C]10[/C][C]-0.351053[/C][C]-2.958[/C][C]0.002101[/C][/ROW]
[ROW][C]11[/C][C]-0.064268[/C][C]-0.5415[/C][C]0.294918[/C][/ROW]
[ROW][C]12[/C][C]0.426915[/C][C]3.5973[/C][C]0.000295[/C][/ROW]
[ROW][C]13[/C][C]-0.072129[/C][C]-0.6078[/C][C]0.272639[/C][/ROW]
[ROW][C]14[/C][C]0.055772[/C][C]0.4699[/C][C]0.319918[/C][/ROW]
[ROW][C]15[/C][C]-0.000613[/C][C]-0.0052[/C][C]0.497948[/C][/ROW]
[ROW][C]16[/C][C]0.01483[/C][C]0.125[/C][C]0.450456[/C][/ROW]
[ROW][C]17[/C][C]-0.019966[/C][C]-0.1682[/C][C]0.433439[/C][/ROW]
[ROW][C]18[/C][C]0.005015[/C][C]0.0423[/C][C]0.483207[/C][/ROW]
[ROW][C]19[/C][C]-0.037708[/C][C]-0.3177[/C][C]0.375811[/C][/ROW]
[ROW][C]20[/C][C]0.023052[/C][C]0.1942[/C][C]0.423272[/C][/ROW]
[ROW][C]21[/C][C]-0.013876[/C][C]-0.1169[/C][C]0.453625[/C][/ROW]
[ROW][C]22[/C][C]0.180937[/C][C]1.5246[/C][C]0.0659[/C][/ROW]
[ROW][C]23[/C][C]0.232023[/C][C]1.9551[/C][C]0.027257[/C][/ROW]
[ROW][C]24[/C][C]-0.009335[/C][C]-0.0787[/C][C]0.468761[/C][/ROW]
[ROW][C]25[/C][C]-0.152077[/C][C]-1.2814[/C][C]0.102108[/C][/ROW]
[ROW][C]26[/C][C]0.024527[/C][C]0.2067[/C][C]0.418429[/C][/ROW]
[ROW][C]27[/C][C]-0.039676[/C][C]-0.3343[/C][C]0.369565[/C][/ROW]
[ROW][C]28[/C][C]0.020954[/C][C]0.1766[/C][C]0.430179[/C][/ROW]
[ROW][C]29[/C][C]-0.044814[/C][C]-0.3776[/C][C]0.353424[/C][/ROW]
[ROW][C]30[/C][C]-0.020765[/C][C]-0.175[/C][C]0.4308[/C][/ROW]
[ROW][C]31[/C][C]0.007579[/C][C]0.0639[/C][C]0.47463[/C][/ROW]
[ROW][C]32[/C][C]0.002687[/C][C]0.0226[/C][C]0.491[/C][/ROW]
[ROW][C]33[/C][C]-0.073781[/C][C]-0.6217[/C][C]0.268068[/C][/ROW]
[ROW][C]34[/C][C]-0.091308[/C][C]-0.7694[/C][C]0.22211[/C][/ROW]
[ROW][C]35[/C][C]-0.071508[/C][C]-0.6025[/C][C]0.274368[/C][/ROW]
[ROW][C]36[/C][C]0.127227[/C][C]1.072[/C][C]0.143667[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=69469&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=69469&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
10.1609471.35620.089673
2-0.197516-1.66430.05023
3-0.072142-0.60790.272604
4-0.198439-1.67210.049455
5-0.003865-0.03260.487055
6-0.128584-1.08350.141133
7-0.03434-0.28940.386577
8-0.266777-2.24790.013845
9-0.076531-0.64490.260549
10-0.351053-2.9580.002101
11-0.064268-0.54150.294918
120.4269153.59730.000295
13-0.072129-0.60780.272639
140.0557720.46990.319918
15-0.000613-0.00520.497948
160.014830.1250.450456
17-0.019966-0.16820.433439
180.0050150.04230.483207
19-0.037708-0.31770.375811
200.0230520.19420.423272
21-0.013876-0.11690.453625
220.1809371.52460.0659
230.2320231.95510.027257
24-0.009335-0.07870.468761
25-0.152077-1.28140.102108
260.0245270.20670.418429
27-0.039676-0.33430.369565
280.0209540.17660.430179
29-0.044814-0.37760.353424
30-0.020765-0.1750.4308
310.0075790.06390.47463
320.0026870.02260.491
33-0.073781-0.62170.268068
34-0.091308-0.76940.22211
35-0.071508-0.60250.274368
360.1272271.0720.143667


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 36 ; par2 = 1 ; par3 = 1 ; par4 = 0 ; par5 = 12 ; par6 = MA ; par7 = 0.95 ;
Parameters (R input):
par1 = 36 ; par2 = 1 ; par3 = 1 ; par4 = 0 ; par5 = 12 ; par6 = MA ; par7 = 0.95 ;
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 (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='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep=''))
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')