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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 computationThu, 17 Dec 2009 09:56:03 -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/17/t1261069049erw6f84zzt51tii.htm/, Retrieved Sun, 28 Apr 2024 00:17:15 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=68991, Retrieved Sun, 28 Apr 2024 00:17:15 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact162

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] [5c2088b06970f9a7d6fea063ee8d5871] [Current]
-   P                     [(Partial) Autocorrelation Function] [Appelen Jonagold ...] [2009-12-19 09:43:35] [7773f496f69461f4a67891f0ef752622]
-   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]
-                         [(Partial) Autocorrelation Function] [PACF appelen Jona...] [2009-12-19 09:58:48] [7773f496f69461f4a67891f0ef752622]
-                         [(Partial) Autocorrelation Function] [PACF appelen Jona...] [2009-12-19 09:58:48] [7773f496f69461f4a67891f0ef752622]
-   PD                      [(Partial) Autocorrelation Function] [partial autocorre...] [2010-12-18 10:00:27] [717f3d787904f94c39256c5c1fc72d4c]
-   PD                        [(Partial) Autocorrelation Function] [Autocorrelatie fu...] [2010-12-21 19:40:51] [717f3d787904f94c39256c5c1fc72d4c]
-   P                           [(Partial) Autocorrelation Function] [Autocorrelatie fu...] [2010-12-23 07:20:44] [717f3d787904f94c39256c5c1fc72d4c]
-   PD                      [(Partial) Autocorrelation Function] [partial autocorre...] [2010-12-18 10:09:51] [717f3d787904f94c39256c5c1fc72d4c]
-   PD                      [(Partial) Autocorrelation Function] [partial autocorre...] [2010-12-18 10:09:51] [717f3d787904f94c39256c5c1fc72d4c]
-   PD                        [(Partial) Autocorrelation Function] [Autocorrelatie fu...] [2010-12-21 20:06:33] [717f3d787904f94c39256c5c1fc72d4c]
-    D                      [(Partial) Autocorrelation Function] [biefstuk ACF] [2010-12-21 13:22:24] [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 time1 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 & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=68991&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=68991&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=68991&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 time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.1522951.16980.123392
2-0.171137-1.31450.096878
3-0.113026-0.86820.194409
4-0.025149-0.19320.423743
50.019970.15340.439306
6-0.02927-0.22480.411446
7-0.024607-0.1890.425367
8-0.075723-0.58160.281512
90.0524970.40320.344115
10-0.151041-1.16020.125327
11-0.304733-2.34070.011324
12-0.253512-1.94730.028134
130.2623952.01550.024208
140.2529661.94310.028392
150.0292770.22490.411425
16-0.034091-0.26190.397171
17-0.049033-0.37660.353901
180.055810.42870.334858
190.0033910.0260.489654
20-0.004974-0.03820.484825
210.0512470.39360.347636
220.1555761.1950.118434
230.0857240.65850.256403
24-0.353482-2.71510.004338
25-0.281456-2.16190.017346
260.0023360.01790.492874
270.0980280.7530.227231
280.1989841.52840.065875
290.0268820.20650.418563
30-0.036821-0.28280.389151
310.0649480.49890.309861
320.0432520.33220.370449
33-0.080742-0.62020.268759
340.0294730.22640.41084
350.0997910.76650.223215
360.0650270.49950.309649

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.152295 & 1.1698 & 0.123392 \tabularnewline
2 & -0.171137 & -1.3145 & 0.096878 \tabularnewline
3 & -0.113026 & -0.8682 & 0.194409 \tabularnewline
4 & -0.025149 & -0.1932 & 0.423743 \tabularnewline
5 & 0.01997 & 0.1534 & 0.439306 \tabularnewline
6 & -0.02927 & -0.2248 & 0.411446 \tabularnewline
7 & -0.024607 & -0.189 & 0.425367 \tabularnewline
8 & -0.075723 & -0.5816 & 0.281512 \tabularnewline
9 & 0.052497 & 0.4032 & 0.344115 \tabularnewline
10 & -0.151041 & -1.1602 & 0.125327 \tabularnewline
11 & -0.304733 & -2.3407 & 0.011324 \tabularnewline
12 & -0.253512 & -1.9473 & 0.028134 \tabularnewline
13 & 0.262395 & 2.0155 & 0.024208 \tabularnewline
14 & 0.252966 & 1.9431 & 0.028392 \tabularnewline
15 & 0.029277 & 0.2249 & 0.411425 \tabularnewline
16 & -0.034091 & -0.2619 & 0.397171 \tabularnewline
17 & -0.049033 & -0.3766 & 0.353901 \tabularnewline
18 & 0.05581 & 0.4287 & 0.334858 \tabularnewline
19 & 0.003391 & 0.026 & 0.489654 \tabularnewline
20 & -0.004974 & -0.0382 & 0.484825 \tabularnewline
21 & 0.051247 & 0.3936 & 0.347636 \tabularnewline
22 & 0.155576 & 1.195 & 0.118434 \tabularnewline
23 & 0.085724 & 0.6585 & 0.256403 \tabularnewline
24 & -0.353482 & -2.7151 & 0.004338 \tabularnewline
25 & -0.281456 & -2.1619 & 0.017346 \tabularnewline
26 & 0.002336 & 0.0179 & 0.492874 \tabularnewline
27 & 0.098028 & 0.753 & 0.227231 \tabularnewline
28 & 0.198984 & 1.5284 & 0.065875 \tabularnewline
29 & 0.026882 & 0.2065 & 0.418563 \tabularnewline
30 & -0.036821 & -0.2828 & 0.389151 \tabularnewline
31 & 0.064948 & 0.4989 & 0.309861 \tabularnewline
32 & 0.043252 & 0.3322 & 0.370449 \tabularnewline
33 & -0.080742 & -0.6202 & 0.268759 \tabularnewline
34 & 0.029473 & 0.2264 & 0.41084 \tabularnewline
35 & 0.099791 & 0.7665 & 0.223215 \tabularnewline
36 & 0.065027 & 0.4995 & 0.309649 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=68991&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]0.152295[/C][C]1.1698[/C][C]0.123392[/C][/ROW]
[ROW][C]2[/C][C]-0.171137[/C][C]-1.3145[/C][C]0.096878[/C][/ROW]
[ROW][C]3[/C][C]-0.113026[/C][C]-0.8682[/C][C]0.194409[/C][/ROW]
[ROW][C]4[/C][C]-0.025149[/C][C]-0.1932[/C][C]0.423743[/C][/ROW]
[ROW][C]5[/C][C]0.01997[/C][C]0.1534[/C][C]0.439306[/C][/ROW]
[ROW][C]6[/C][C]-0.02927[/C][C]-0.2248[/C][C]0.411446[/C][/ROW]
[ROW][C]7[/C][C]-0.024607[/C][C]-0.189[/C][C]0.425367[/C][/ROW]
[ROW][C]8[/C][C]-0.075723[/C][C]-0.5816[/C][C]0.281512[/C][/ROW]
[ROW][C]9[/C][C]0.052497[/C][C]0.4032[/C][C]0.344115[/C][/ROW]
[ROW][C]10[/C][C]-0.151041[/C][C]-1.1602[/C][C]0.125327[/C][/ROW]
[ROW][C]11[/C][C]-0.304733[/C][C]-2.3407[/C][C]0.011324[/C][/ROW]
[ROW][C]12[/C][C]-0.253512[/C][C]-1.9473[/C][C]0.028134[/C][/ROW]
[ROW][C]13[/C][C]0.262395[/C][C]2.0155[/C][C]0.024208[/C][/ROW]
[ROW][C]14[/C][C]0.252966[/C][C]1.9431[/C][C]0.028392[/C][/ROW]
[ROW][C]15[/C][C]0.029277[/C][C]0.2249[/C][C]0.411425[/C][/ROW]
[ROW][C]16[/C][C]-0.034091[/C][C]-0.2619[/C][C]0.397171[/C][/ROW]
[ROW][C]17[/C][C]-0.049033[/C][C]-0.3766[/C][C]0.353901[/C][/ROW]
[ROW][C]18[/C][C]0.05581[/C][C]0.4287[/C][C]0.334858[/C][/ROW]
[ROW][C]19[/C][C]0.003391[/C][C]0.026[/C][C]0.489654[/C][/ROW]
[ROW][C]20[/C][C]-0.004974[/C][C]-0.0382[/C][C]0.484825[/C][/ROW]
[ROW][C]21[/C][C]0.051247[/C][C]0.3936[/C][C]0.347636[/C][/ROW]
[ROW][C]22[/C][C]0.155576[/C][C]1.195[/C][C]0.118434[/C][/ROW]
[ROW][C]23[/C][C]0.085724[/C][C]0.6585[/C][C]0.256403[/C][/ROW]
[ROW][C]24[/C][C]-0.353482[/C][C]-2.7151[/C][C]0.004338[/C][/ROW]
[ROW][C]25[/C][C]-0.281456[/C][C]-2.1619[/C][C]0.017346[/C][/ROW]
[ROW][C]26[/C][C]0.002336[/C][C]0.0179[/C][C]0.492874[/C][/ROW]
[ROW][C]27[/C][C]0.098028[/C][C]0.753[/C][C]0.227231[/C][/ROW]
[ROW][C]28[/C][C]0.198984[/C][C]1.5284[/C][C]0.065875[/C][/ROW]
[ROW][C]29[/C][C]0.026882[/C][C]0.2065[/C][C]0.418563[/C][/ROW]
[ROW][C]30[/C][C]-0.036821[/C][C]-0.2828[/C][C]0.389151[/C][/ROW]
[ROW][C]31[/C][C]0.064948[/C][C]0.4989[/C][C]0.309861[/C][/ROW]
[ROW][C]32[/C][C]0.043252[/C][C]0.3322[/C][C]0.370449[/C][/ROW]
[ROW][C]33[/C][C]-0.080742[/C][C]-0.6202[/C][C]0.268759[/C][/ROW]
[ROW][C]34[/C][C]0.029473[/C][C]0.2264[/C][C]0.41084[/C][/ROW]
[ROW][C]35[/C][C]0.099791[/C][C]0.7665[/C][C]0.223215[/C][/ROW]
[ROW][C]36[/C][C]0.065027[/C][C]0.4995[/C][C]0.309649[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=68991&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=68991&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
10.1522951.16980.123392
2-0.171137-1.31450.096878
3-0.113026-0.86820.194409
4-0.025149-0.19320.423743
50.019970.15340.439306
6-0.02927-0.22480.411446
7-0.024607-0.1890.425367
8-0.075723-0.58160.281512
90.0524970.40320.344115
10-0.151041-1.16020.125327
11-0.304733-2.34070.011324
12-0.253512-1.94730.028134
130.2623952.01550.024208
140.2529661.94310.028392
150.0292770.22490.411425
16-0.034091-0.26190.397171
17-0.049033-0.37660.353901
180.055810.42870.334858
190.0033910.0260.489654
20-0.004974-0.03820.484825
210.0512470.39360.347636
220.1555761.1950.118434
230.0857240.65850.256403
24-0.353482-2.71510.004338
25-0.281456-2.16190.017346
260.0023360.01790.492874
270.0980280.7530.227231
280.1989841.52840.065875
290.0268820.20650.418563
30-0.036821-0.28280.389151
310.0649480.49890.309861
320.0432520.33220.370449
33-0.080742-0.62020.268759
340.0294730.22640.41084
350.0997910.76650.223215
360.0650270.49950.309649






Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.1522951.16980.123392
2-0.198945-1.52810.065913
3-0.054874-0.42150.337464
4-0.031775-0.24410.404012
5-0.001505-0.01160.495406
6-0.051746-0.39750.346228
7-0.013522-0.10390.458816
8-0.089303-0.6860.247716
90.0713510.54810.29286
10-0.22401-1.72070.045278
11-0.264348-2.03050.023411
12-0.286841-2.20330.015746
130.2361661.8140.03738
140.0366030.28120.389789
150.0292870.2250.411394
16-0.019997-0.15360.439225
17-0.009359-0.07190.471468
18-0.006076-0.04670.481467
19-0.051966-0.39920.345609
20-0.062008-0.47630.317813
210.0710740.54590.293587
220.0119680.09190.463534
230.039210.30120.38217
24-0.352453-2.70720.00443
250.0155070.11910.452796
26-0.04168-0.32020.374992
27-0.031037-0.23840.406199
280.1619761.24420.109181
290.0010570.00810.496773
300.0395760.3040.381103
310.0976990.75040.227987
32-0.047279-0.36320.358894
330.0258730.19870.421578
340.0327580.25160.401105
35-0.092507-0.71060.240078
36-0.24041-1.84660.03491

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.152295 & 1.1698 & 0.123392 \tabularnewline
2 & -0.198945 & -1.5281 & 0.065913 \tabularnewline
3 & -0.054874 & -0.4215 & 0.337464 \tabularnewline
4 & -0.031775 & -0.2441 & 0.404012 \tabularnewline
5 & -0.001505 & -0.0116 & 0.495406 \tabularnewline
6 & -0.051746 & -0.3975 & 0.346228 \tabularnewline
7 & -0.013522 & -0.1039 & 0.458816 \tabularnewline
8 & -0.089303 & -0.686 & 0.247716 \tabularnewline
9 & 0.071351 & 0.5481 & 0.29286 \tabularnewline
10 & -0.22401 & -1.7207 & 0.045278 \tabularnewline
11 & -0.264348 & -2.0305 & 0.023411 \tabularnewline
12 & -0.286841 & -2.2033 & 0.015746 \tabularnewline
13 & 0.236166 & 1.814 & 0.03738 \tabularnewline
14 & 0.036603 & 0.2812 & 0.389789 \tabularnewline
15 & 0.029287 & 0.225 & 0.411394 \tabularnewline
16 & -0.019997 & -0.1536 & 0.439225 \tabularnewline
17 & -0.009359 & -0.0719 & 0.471468 \tabularnewline
18 & -0.006076 & -0.0467 & 0.481467 \tabularnewline
19 & -0.051966 & -0.3992 & 0.345609 \tabularnewline
20 & -0.062008 & -0.4763 & 0.317813 \tabularnewline
21 & 0.071074 & 0.5459 & 0.293587 \tabularnewline
22 & 0.011968 & 0.0919 & 0.463534 \tabularnewline
23 & 0.03921 & 0.3012 & 0.38217 \tabularnewline
24 & -0.352453 & -2.7072 & 0.00443 \tabularnewline
25 & 0.015507 & 0.1191 & 0.452796 \tabularnewline
26 & -0.04168 & -0.3202 & 0.374992 \tabularnewline
27 & -0.031037 & -0.2384 & 0.406199 \tabularnewline
28 & 0.161976 & 1.2442 & 0.109181 \tabularnewline
29 & 0.001057 & 0.0081 & 0.496773 \tabularnewline
30 & 0.039576 & 0.304 & 0.381103 \tabularnewline
31 & 0.097699 & 0.7504 & 0.227987 \tabularnewline
32 & -0.047279 & -0.3632 & 0.358894 \tabularnewline
33 & 0.025873 & 0.1987 & 0.421578 \tabularnewline
34 & 0.032758 & 0.2516 & 0.401105 \tabularnewline
35 & -0.092507 & -0.7106 & 0.240078 \tabularnewline
36 & -0.24041 & -1.8466 & 0.03491 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=68991&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]0.152295[/C][C]1.1698[/C][C]0.123392[/C][/ROW]
[ROW][C]2[/C][C]-0.198945[/C][C]-1.5281[/C][C]0.065913[/C][/ROW]
[ROW][C]3[/C][C]-0.054874[/C][C]-0.4215[/C][C]0.337464[/C][/ROW]
[ROW][C]4[/C][C]-0.031775[/C][C]-0.2441[/C][C]0.404012[/C][/ROW]
[ROW][C]5[/C][C]-0.001505[/C][C]-0.0116[/C][C]0.495406[/C][/ROW]
[ROW][C]6[/C][C]-0.051746[/C][C]-0.3975[/C][C]0.346228[/C][/ROW]
[ROW][C]7[/C][C]-0.013522[/C][C]-0.1039[/C][C]0.458816[/C][/ROW]
[ROW][C]8[/C][C]-0.089303[/C][C]-0.686[/C][C]0.247716[/C][/ROW]
[ROW][C]9[/C][C]0.071351[/C][C]0.5481[/C][C]0.29286[/C][/ROW]
[ROW][C]10[/C][C]-0.22401[/C][C]-1.7207[/C][C]0.045278[/C][/ROW]
[ROW][C]11[/C][C]-0.264348[/C][C]-2.0305[/C][C]0.023411[/C][/ROW]
[ROW][C]12[/C][C]-0.286841[/C][C]-2.2033[/C][C]0.015746[/C][/ROW]
[ROW][C]13[/C][C]0.236166[/C][C]1.814[/C][C]0.03738[/C][/ROW]
[ROW][C]14[/C][C]0.036603[/C][C]0.2812[/C][C]0.389789[/C][/ROW]
[ROW][C]15[/C][C]0.029287[/C][C]0.225[/C][C]0.411394[/C][/ROW]
[ROW][C]16[/C][C]-0.019997[/C][C]-0.1536[/C][C]0.439225[/C][/ROW]
[ROW][C]17[/C][C]-0.009359[/C][C]-0.0719[/C][C]0.471468[/C][/ROW]
[ROW][C]18[/C][C]-0.006076[/C][C]-0.0467[/C][C]0.481467[/C][/ROW]
[ROW][C]19[/C][C]-0.051966[/C][C]-0.3992[/C][C]0.345609[/C][/ROW]
[ROW][C]20[/C][C]-0.062008[/C][C]-0.4763[/C][C]0.317813[/C][/ROW]
[ROW][C]21[/C][C]0.071074[/C][C]0.5459[/C][C]0.293587[/C][/ROW]
[ROW][C]22[/C][C]0.011968[/C][C]0.0919[/C][C]0.463534[/C][/ROW]
[ROW][C]23[/C][C]0.03921[/C][C]0.3012[/C][C]0.38217[/C][/ROW]
[ROW][C]24[/C][C]-0.352453[/C][C]-2.7072[/C][C]0.00443[/C][/ROW]
[ROW][C]25[/C][C]0.015507[/C][C]0.1191[/C][C]0.452796[/C][/ROW]
[ROW][C]26[/C][C]-0.04168[/C][C]-0.3202[/C][C]0.374992[/C][/ROW]
[ROW][C]27[/C][C]-0.031037[/C][C]-0.2384[/C][C]0.406199[/C][/ROW]
[ROW][C]28[/C][C]0.161976[/C][C]1.2442[/C][C]0.109181[/C][/ROW]
[ROW][C]29[/C][C]0.001057[/C][C]0.0081[/C][C]0.496773[/C][/ROW]
[ROW][C]30[/C][C]0.039576[/C][C]0.304[/C][C]0.381103[/C][/ROW]
[ROW][C]31[/C][C]0.097699[/C][C]0.7504[/C][C]0.227987[/C][/ROW]
[ROW][C]32[/C][C]-0.047279[/C][C]-0.3632[/C][C]0.358894[/C][/ROW]
[ROW][C]33[/C][C]0.025873[/C][C]0.1987[/C][C]0.421578[/C][/ROW]
[ROW][C]34[/C][C]0.032758[/C][C]0.2516[/C][C]0.401105[/C][/ROW]
[ROW][C]35[/C][C]-0.092507[/C][C]-0.7106[/C][C]0.240078[/C][/ROW]
[ROW][C]36[/C][C]-0.24041[/C][C]-1.8466[/C][C]0.03491[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=68991&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=68991&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
10.1522951.16980.123392
2-0.198945-1.52810.065913
3-0.054874-0.42150.337464
4-0.031775-0.24410.404012
5-0.001505-0.01160.495406
6-0.051746-0.39750.346228
7-0.013522-0.10390.458816
8-0.089303-0.6860.247716
90.0713510.54810.29286
10-0.22401-1.72070.045278
11-0.264348-2.03050.023411
12-0.286841-2.20330.015746
130.2361661.8140.03738
140.0366030.28120.389789
150.0292870.2250.411394
16-0.019997-0.15360.439225
17-0.009359-0.07190.471468
18-0.006076-0.04670.481467
19-0.051966-0.39920.345609
20-0.062008-0.47630.317813
210.0710740.54590.293587
220.0119680.09190.463534
230.039210.30120.38217
24-0.352453-2.70720.00443
250.0155070.11910.452796
26-0.04168-0.32020.374992
27-0.031037-0.23840.406199
280.1619761.24420.109181
290.0010570.00810.496773
300.0395760.3040.381103
310.0976990.75040.227987
32-0.047279-0.36320.358894
330.0258730.19870.421578
340.0327580.25160.401105
35-0.092507-0.71060.240078
36-0.24041-1.84660.03491


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 36 ; par2 = 1 ; par3 = 1 ; par4 = 1 ; par5 = 12 ; par6 = MA ; par7 = 0.95 ;
Parameters (R input):
par1 = 36 ; par2 = 1 ; par3 = 1 ; par4 = 1 ; 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')